www.cureus.com
Open in
urlscan Pro
2606:4700:10::6816:56f
Public Scan
Submitted URL: http://criticalcare.news/sendy/l/UJaprqWtVzMzppAKxMpddg/ipcds2sTc16BX9A6vAgEIA/bQaPj7CaoClu763hNLtCSOoQ
Effective URL: https://www.cureus.com/articles/78251-high-dose-dexamethasone-versus-tocilizumab-in-moderate-to-severe-covid-19-pneumon...
Submission: On February 05 via api from US — Scanned from DE
Effective URL: https://www.cureus.com/articles/78251-high-dose-dexamethasone-versus-tocilizumab-in-moderate-to-severe-covid-19-pneumon...
Submission: On February 05 via api from US — Scanned from DE
Form analysis
5 forms found in the DOMGET /articles
<form action="/articles" accept-charset="UTF-8" method="get" data-hs-cf-bound="true"><input name="utf8" type="hidden" value="✓">
<i class="fa fa-search"></i>
<input type="hidden" name="searched" id="searched" value="true">
<input type="text" name="q" id="q" value="" placeholder="Search Cureus and PubMed Central">
<div class="x-close">
<div class="x"></div>
</div>
</form>
<form accept-charset="UTF-8" data-hs-cf-bound="true">
<div class="not-logged-in">Please <a>sign in</a> or <a>sign up</a> to comment.</div>
</form>
POST /publish/articles/78251-high-dose-dexamethasone-versus-tocilizumab-in-moderate-to-severe-covid-19-pneumonia-a-randomized-controlled-trial/send_sign_up_email?source=PDFDownload
<form id="pdf-email-form" action="/publish/articles/78251-high-dose-dexamethasone-versus-tocilizumab-in-moderate-to-severe-covid-19-pneumonia-a-randomized-controlled-trial/send_sign_up_email?source=PDFDownload" accept-charset="UTF-8" method="post"
data-hs-cf-bound="true"><input name="utf8" type="hidden" value="✓"><input type="hidden" name="authenticity_token" value="bNnZ2aFKXkOO2jrTasVrOUFw7nrp6CIpi2RR88dDk5SmFig9YYx5OQo7RvOZ9fUTYdhG7a7PKyYXBKovGjSlqQ==">
<div class="large-8 large-offset-1 medium-8 medium-offset-1 columns">
<input type="email" name="email" id="email" required="required">
</div>
<div class="large-1 medium-1 columns end">
<input type="submit" name="commit" value="send" class="button special" id="pdf-download-button" data-disable-with="send">
</div>
</form>
POST /users/sign_in?id=78251&open_comments=true&return_to=%2Farticles%2F78251-high-dose-dexamethasone-versus-tocilizumab-in-moderate-to-severe-covid-19-pneumonia-a-randomized-controlled-trial
<form class="new_user" id="new_user" action="/users/sign_in?id=78251&open_comments=true&return_to=%2Farticles%2F78251-high-dose-dexamethasone-versus-tocilizumab-in-moderate-to-severe-covid-19-pneumonia-a-randomized-controlled-trial"
accept-charset="UTF-8" method="post" data-hs-cf-bound="true"><input name="utf8" type="hidden" value="✓"><input type="hidden" name="authenticity_token" value="bNnZ2aFKXkOO2jrTasVrOUFw7nrp6CIpi2RR88dDk5SmFig9YYx5OQo7RvOZ9fUTYdhG7a7PKyYXBKovGjSlqQ==">
<div class="form-label-input-wrap no-label">
<div class="text-wrap">
<label>Sign in with your email address:</label>
</div>
</div>
<div class="form-label-input-wrap">
<label for="user_email">Email</label>
<div class="input-wrap">
<input required="required" autofocus="autofocus" type="email" name="user[email]" id="user_email">
</div>
</div>
<div class="form-label-input-wrap">
<label for="user_password">Password</label>
<div class="input-wrap">
<input required="required" type="password" name="user[password]" id="user_password">
</div>
</div>
<input value="true" type="hidden" name="user[remember_me]" id="user_remember_me">
<div class="form-label-input-wrap no-label">
<div class="devise-submit-wrap">
<input type="submit" name="commit" value="Sign in" class="button primary large input-wrap" data-disable-with="Sign in">
</div>
</div>
</form>
POST /registrations?article_id=78251&return_to=%2Farticles%2F78251-high-dose-dexamethasone-versus-tocilizumab-in-moderate-to-severe-covid-19-pneumonia-a-randomized-controlled-trial&user_type=comment
<form class="new_user" id="continue_registration" data-parsley-validate="true"
action="/registrations?article_id=78251&return_to=%2Farticles%2F78251-high-dose-dexamethasone-versus-tocilizumab-in-moderate-to-severe-covid-19-pneumonia-a-randomized-controlled-trial&user_type=comment" accept-charset="UTF-8" method="post"
data-hs-cf-bound="true"><input name="utf8" type="hidden" value="✓"><input type="hidden" name="authenticity_token" value="bNnZ2aFKXkOO2jrTasVrOUFw7nrp6CIpi2RR88dDk5SmFig9YYx5OQo7RvOZ9fUTYdhG7a7PKyYXBKovGjSlqQ==">
<div class="form-label-input-wrap">
<label for="user_first_name">First name</label>
<div class="input-wrap">
<input autofocus="autofocus" required="required" tabindex="1" type="text" name="user[first_name]" id="user_first_name">
</div>
</div>
<div class="form-label-input-wrap">
<label for="user_last_name">Last name</label>
<div class="input-wrap">
<input autofocus="autofocus" required="required" tabindex="2" type="text" name="user[last_name]" id="user_last_name">
</div>
</div>
<div class="form-label-input-wrap">
<label for="user_email">Email</label>
<div class="input-wrap">
<input required="required" autofocus="autofocus" tabindex="3" type="email" name="user[email]" id="user_email">
</div>
</div>
<div class="form-label-input-wrap">
<label for="user_password">Password</label>
<div class="input-wrap">
<input required="required" tabindex="4" type="password" name="user[password]" id="user_password">
</div>
</div>
<div class="form-label-input-wrap">
<label class="text control-label" for="user_specialty_id">Specialty</label>
<div class="input-wrap">
<select required="required" name="user[specialty_id]" id="user_specialty_id">
<option value="">Please choose</option>
<option selected="selected" value="361">I'm not a medical professional.</option>
<option value="2">Allergy and Immunology</option>
<option value="357">Anatomy</option>
<option value="3">Anesthesiology</option>
<option value="237">Cardiac/Thoracic/Vascular Surgery</option>
<option value="249">Cardiology</option>
<option value="360">Dentistry</option>
<option value="10">Dermatology</option>
<option value="13">Emergency Medicine</option>
<option value="246">Epidemiology and Public Health</option>
<option value="21">Family Medicine</option>
<option value="363">Forensic Medicine</option>
<option value="371">General Practice</option>
<option value="47">Genetics</option>
<option value="368">Health Policy</option>
<option selected="selected" value="361">I'm not a medical professional.</option>
<option value="353">Integrative/Complementary Medicine</option>
<option value="27">Internal Medicine</option>
<option value="362">Internal Medicine-Pediatrics</option>
<option value="283">Internal Medicine: Critical Care</option>
<option value="284">Internal Medicine: Diabetes and Endocrinology</option>
<option value="285">Internal Medicine: Gastroenterology</option>
<option value="352">Internal Medicine: Geriatrics</option>
<option value="369">Internal Medicine: Hematology</option>
<option value="281">Internal Medicine: HIV/AIDS</option>
<option value="282">Internal Medicine: Hospital-based Medicine</option>
<option value="286">Internal Medicine: Infectious Disease</option>
<option value="287">Internal Medicine: Nephrology</option>
<option value="288">Internal Medicine: Pulmonology</option>
<option value="289">Internal Medicine: Rheumatology</option>
<option value="314">Medical Education and Simulation</option>
<option value="219">Medical Physics</option>
<option value="370">Medical Student</option>
<option value="59">Neurological Surgery</option>
<option value="177">Neurology</option>
<option value="60">Nuclear Medicine</option>
<option value="364">Nutrition</option>
<option value="61">Obstetrics and Gynecology</option>
<option value="367">Occupational Health</option>
<option value="267">Oncology</option>
<option value="69">Ophthalmology</option>
<option value="359">Oral Medicine</option>
<option value="70">Orthopaedics</option>
<option value="358">Osteopathic Medicine</option>
<option value="73">Otolaryngology</option>
<option value="354">Pain Management</option>
<option value="355">Palliative Care</option>
<option value="78">Pathology</option>
<option value="114">Pediatrics</option>
<option value="291">Pediatric Surgery</option>
<option value="135">Physical Medicine and Rehabilitation</option>
<option value="143">Plastic Surgery</option>
<option value="351">Podiatry</option>
<option value="146">Preventive Medicine</option>
<option value="162">Psychiatry</option>
<option value="244">Psychology</option>
<option value="213">Radiation Oncology</option>
<option value="207">Radiology</option>
<option value="366">Substance Use and Addiction</option>
<option value="225">Surgery</option>
<option value="365">Therapeutics</option>
<option value="356">Trauma</option>
<option value="239">Urology</option>
<option value="150">Miscellaneous</option>
</select>
</div>
</div>
<div class="row">
<div class="large-12 columns">
<h4 class="reg">Email Communication and Personal Data</h4>
</div>
</div>
<div class="row">
<div class="large-1 medium-1 small-1 columns">
<input name="user[email_preference][gdpr_verify]" type="hidden" value="0"><input required="required" name="user[email_preference][gdpr_verify]" type="checkbox" value="1" id="user_gdpr_verify">
</div>
<div class="large-11 medium-11 small-11 columns">
<label for="user_gdpr_verify">Cureus personal data will never be sold to third parties and will only be used to enrich the user experience and contact you in direct relation to the application. I agree to opt in to this communication.</label>
</div>
</div>
<div class="form-label-input-wrap recaptcha-centered modal">
<script src="https://www.recaptcha.net/recaptcha/api.js" async="" defer=""></script>
<div data-sitekey="6LdWUksUAAAAADUnX2rBGTOHw17gZ-8NmKyvEDzG" class="g-recaptcha ">
<div style="width: 304px; height: 78px;">
<div><iframe title="reCAPTCHA"
src="https://www.recaptcha.net/recaptcha/api2/anchor?ar=1&k=6LdWUksUAAAAADUnX2rBGTOHw17gZ-8NmKyvEDzG&co=aHR0cHM6Ly93d3cuY3VyZXVzLmNvbTo0NDM.&hl=de&v=1p3YWy80wlZ7Q8QFR1gjazwU&size=normal&cb=86pixjtevfn3" width="304"
height="78" role="presentation" name="a-mwsll8vzzq2i" frameborder="0" scrolling="no" sandbox="allow-forms allow-popups allow-same-origin allow-scripts allow-top-navigation allow-modals allow-popups-to-escape-sandbox"></iframe></div>
<textarea id="g-recaptcha-response" name="g-recaptcha-response" class="g-recaptcha-response" style="width: 250px; height: 40px; border: 1px solid rgb(193, 193, 193); margin: 10px 25px; padding: 0px; resize: none; display: none;"></textarea>
</div><iframe style="display: none;"></iframe>
</div>
<noscript>
<div>
<div style="width: 302px; height: 422px; position: relative;">
<div style="width: 302px; height: 422px; position: absolute;">
<iframe src="https://www.recaptcha.net/recaptcha/api/fallback?k=6LdWUksUAAAAADUnX2rBGTOHw17gZ-8NmKyvEDzG" name="ReCAPTCHA" style="width: 302px; height: 422px; border-style: none; border: 0; overflow: hidden;">
</iframe>
</div>
</div>
<div style="width: 300px; height: 60px; border-style: none;
bottom: 12px; left: 25px; margin: 0px; padding: 0px; right: 25px;
background: #f9f9f9; border: 1px solid #c1c1c1; border-radius: 3px;">
<textarea id="g-recaptcha-response" name="g-recaptcha-response" class="g-recaptcha-response" style="width: 250px; height: 40px; border: 1px solid #c1c1c1;
margin: 10px 25px; padding: 0px; resize: none;"> </textarea>
</div>
</div>
</noscript>
</div>
<div class="form-label-input-wrap no-label-new modal">
<p class="text-wrap submit-text-wrap modal"> By joining Cureus, you agree to our <a href="/privacy">Privacy Policy</a> and <a href="/terms">Terms of Use</a>. </p>
</div>
<div class="form-label-input-wrap no-label modal">
<div class="devise-submit-wrap modal">
<input type="submit" name="commit" value="Sign up" class="button primary large input-wrap modal" data-disable-with="Sign up">
</div>
</div>
</form>
Text Content
* Home * Journal * Back * Journal * Articles * People * Posters * Specialties * Back * Specialties * Allergy/Immunology * Anatomy * Anesthesiology * Cardiac/Thoracic/Vascular Surgery * Cardiology * Dentistry * Dermatology * Emergency Medicine * Endocrinology/Diabetes/Metabolism * Environmental Health * Epidemiology/Public Health * Family/General Practice * Forensic Medicine * Gastroenterology * General Surgery * Genetics * Healthcare Technology * Health Policy * Hematology * HIV/AIDS * Infectious Disease * Integrative/Complementary Medicine * Internal Medicine * Medical Education * Medical Physics * Medical Simulation * Miscellaneous * Nephrology * Neurology * Neurosurgery * Nuclear Medicine * Nutrition * Obstetrics/Gynecology * Occupational Health * Oncology * Ophthalmology * Oral Medicine * Orthopedics * Osteopathic Medicine * Otolaryngology * Pain Management * Palliative Care * Pathology * Pediatrics * Pediatric Surgery * Physical Medicine & Rehabilitation * Plastic Surgery * Podiatry * Preventive Medicine * Psychiatry * Psychology * Public Health * Pulmonology * Quality Improvement * Radiation Oncology * Radiology * Rheumatology * Substance Use and Addiction * Therapeutics * Transplantation * Trauma * Urology * Publishing * Back * Publishing * About Publishing * Article Promotion Guide * Article Social Boost * Author & Reviewer Guides * Preferred Editing Service * SIQ™ (Scholarly Impact Quotient™) * Channels * Back * Channels * Academic Departments * Back * Academic Departments * Alabama College of Osteopathic ... * Annals of Simulation * Aurora Breast Health Proceedings * Baylor Scott & White Medical Ce ... * California Institute of Behavio ... * Contemporary Reviews in Neurolo ... * Dalhousie Emergency Medicine * FLAGSHIP: Medical Scholarly Pro ... * Houston Methodist Neurosurgery * Liberty Medicine Research Channel * Marcus Neuroscience Institute * Medicine-Pediatrics Academic Ch ... * Military Medical Simulation * Modern Medical Educator * NB Social Pediatrics Research * NEMA Research Group * Paolo Procacci Foundation * Penn State Neurosurgery * Research Update Organization * Sinai Chicago Research * Stanford Neurosurgery * The Florida Medical Student Res ... * UCSF Neurological Surgery * UCSF Surgical Neuroanatomy Coll ... * University of Florida-Jacksonvi ... * University of Louisville Neuros ... * University of Munich Neurology * Professional Societies * Back * Professional Societies * ACOS Cardiothoracic and Vascula ... * ACOS General Surgery * ACOS Neurological Surgery * ACOS Plastic and Reconstructive ... * ACOS Urological Surgery * American Red Cross Scientific A ... * Canadian Association of Radiati ... * International Liaison Committee ... * International Pediatric Simulat ... * Japan Radiosurgery Society * Medical Society of Delaware Aca ... * The Radiosurgery Society * About Channels * Competitions * Back * Competitions * Current * Back * Current * Surgically Targeted Radiation Th... * Archived * Back * Archived * Automated Whole Brain Tractography * Clinical and Economic Benefits o... * Clinical Applications and Benefi... * Defining Health in the Era of Va... * Exceptional Responders in Breast... * Exceptional Responders in Oncology * Frameless Stereotactic Radiosurgery * Intraoperative Fluorescence Rese... * Investigational Cardiac Radiosur... * MR-Guided Radiation Therapy: Cli... * Multiple Brain Metastases: Excep... * Negative Pressure Wound Therapy ... * NPWT with Instillation and Dwell... * Optimization Strategies for Orga... * Proton Therapy: Advanced Applica... * Radiation Therapy as a Modality ... * Strategies to Promote Long-Term ... * About Competitions * Newsroom * Back * Newsroom * All Posts * News * Cureus U * Newsletters * Blog * About * Back * About * Editorial Board * Associate Editors * Academic Council * About Cureus * Cureus Honors * Careers * Advertising & Sponsorship * COVID-19 * ISSN #2168-8184 * * * Sign In * Create an Account > "Never doubt that a small group of thoughtful, committed citizens can change > the world. Indeed, it is the only thing that ever has." > > Margaret Mead SUBMIT RESEARCH * Journal Articles People Posters Specialties * Allergy/Immunology * Anatomy * Anesthesiology * Cardiac/Thoracic/ Vascular Surgery * Cardiology * Dentistry * Dermatology * Emergency Medicine * Endocrinology/Diabetes/ Metabolism * Environmental Health * Epidemiology/Public Health * Family/General Practice * Forensic Medicine * Gastroenterology * General Surgery * Genetics * Healthcare Technology * Health Policy * Hematology * HIV/AIDS * Infectious Disease * Integrative/Complementary Medicine * Internal Medicine * Medical Education * Medical Physics * Medical Simulation * Miscellaneous * Nephrology * Neurology * Neurosurgery * Nuclear Medicine * Nutrition * Obstetrics/Gynecology * Occupational Health * Oncology * Ophthalmology * Oral Medicine * Orthopedics * Osteopathic Medicine * Otolaryngology * Pain Management * Palliative Care * Pathology * Pediatrics * Pediatric Surgery * Physical Medicine & Rehabilitation * Plastic Surgery * Podiatry * Preventive Medicine * Psychiatry * Psychology * Public Health * Pulmonology * Quality Improvement * Radiation Oncology * Radiology * Rheumatology * Substance Use and Addiction * Therapeutics * Transplantation * Trauma * Urology RECENT TOP ARTICLES -------------------------------------------------------------------------------- Frontal Fibrosing Alopecia Mimicking Alopecia Syphilitica Multiple Indolent Asymptomatic Yellow-Orange Patches and Plaques Association of the PECAM-1 (Leu125Val) and P-Selectin (Thr715Pro) Gene Polymorphisms With Unexpla... * Publishing * About Publishing * Article Promotion Guide * Article Social Boost * Author & Reviewer Guides * Preferred Editing Service * SIQ™ - Scholarly Impact Quotient™ * Channels About Channels Academic * Alabama College of Osteopathic Medicine Research * Annals of Simulation * Aurora Breast Health Proceedings * Baylor Scott & White Medical Center Department of Neurosurgery * California Institute of Behavioral Neurosciences & Psychology * Contemporary Reviews in Neurology and Neurosurgery * Dalhousie Emergency Medicine * FLAGSHIP: Medical Scholarly Proceedings * Houston Methodist Neurosurgery * Liberty Medicine Research Channel * Marcus Neuroscience Institute * Medicine-Pediatrics Academic Channel * Military Medical Simulation * Modern Medical Educator * NB Social Pediatrics Research * NEMA Research Group * Paolo Procacci Foundation * Penn State Neurosurgery * Research Update Organization * Sinai Chicago Research * Stanford Neurosurgery * The Florida Medical Student Research Publications * UCSF Neurological Surgery * UCSF Surgical Neuroanatomy Collection * University of Florida-Jacksonville Neurosurgery * University of Louisville Neurosurgery * University of Munich Neurology Professional Societies * ACOS Cardiothoracic and Vascular Surgery * ACOS General Surgery * ACOS Neurological Surgery * ACOS Plastic and Reconstructive Surgery * ACOS Urological Surgery * American Red Cross Scientific Advisory Council * Canadian Association of Radiation Oncology * International Liaison Committee on Resuscitation * International Pediatric Simulation Society * Japan Radiosurgery Society * Medical Society of Delaware Academic Channel * The Radiosurgery Society * Competitions About Competitions CURRENT * Surgically Targeted Radiation Therapy for Brain Tumors: Clinical Case Review PAST * Dermatology * Clinical and Economic Benefits of Autologous Epidermal Grafting * Cardiology * Investigational Cardiac Radiosurgery * General * Defining Health in the Era of Value-Based Care * Intraoperative Fluorescence Research * Optimization Strategies for Organ Donation and Utilization * Neurosurgery * Automated Whole Brain Tractography * Frameless Stereotactic Radiosurgery * Oncology * Exceptional Responders in Breast Cancer * Exceptional Responders in Oncology * Radiation Oncology * MR-Guided Radiation Therapy: Clinical Applications & Experiences * Multiple Brain Metastases: Exceptional Outcomes from Stereotactic Radiosurgery * Proton Therapy: Advanced Applications for the Most Challenging Cases * Radiation Therapy as a Modality to Create Abscopal Effects: Current and Future Practices * Surgery * Clinical Applications and Benefits Using Closed-Incision Negative Pressure Therapy for Incision and Surrounding Soft Tissue Management * Negative Pressure Wound Therapy with Instillation * NPWT with Instillation and Dwell: Clinical Results in Cleansing and Removal of Infectious Material with Novel Dressings * Newsroom * All Posts * News * Cureus U * Newsletters * Blog * About * Editorial Board * Associate Editors * Academic Council * ISSN #2168-8184 * About Cureus * Cureus Honors * Careers * Advertising & Sponsorship Cureus is on a mission to change the long-standing paradigm of medical publishing, where submitting research can be costly, complex and time-consuming. John R. Adler, MD, Founder * COVID-19 * SUBMIT RESEARCH SIGN IN Join Now On May 25, 2018, the GDPR (General Data Protection Regulation) went into effect and changed how organizations deal with personal data of customers located in the EU. Though GDPR was built to protect Europeans, it will affect organizations around the world doing business in the EU. Because of this we are asking our users located in the EU to opt in to the data we collect in order to bring a better web experience. Opt-In ADVERTISEMENT 6.6 RATED BY 5 READERS 6.6 CLARITY OF BACKGROUND AND RATIONALE 6.6 CLINICAL IMPORTANCE 6.2 STUDY DESIGN AND METHODS 7.0 DATA ANALYSIS 7.0 NOVELTY OF CONCLUSIONS 6.2 QUALITY OF PRESENTATION CONTRIBUTE RATING Learn more about SIQ™ 6.6 Rate article What's this? Article * Abstract * Introduction * Materials & Methods * Results * Discussion * Conclusions * Appendices * References Disclosures & Acknowledgements Community discussion Categories * Emergency Medicine * Internal Medicine * Infectious Disease Keywords covid-19, acute respiratory distress syndrome (ards), high-dose dexamethasone, fungal infection, secondary infection, pulse dose steroids, tocilizumab, cytokine storms ADVERTISEMENT High-Dose Dexamethasone Versus Tocilizumab in Moderate to Severe COVID-19 Pneumonia: A Randomized Controlled Trial Naveen B. Naik, Goverdhan D. Puri, Kamal Kajal, Varun Mahajan, Ashish Bhalla, Sandeep Kataria, Karan Singla, Pritam Panigrahi, Ajay Singh, Michelle Lazar, Anjuman Chander, Venkata Ganesh, Amarjyoti Hazarika, Vikas Suri, Manoj K. Goyal, Vijayant Kumar Pandey, Narender Kaloria, Tanvir Samra, Kulbhushan Saini, Shiv L. Soni PDF Comment PDF * Article * Authors etc. * Metrics * Comments * Figures etc. Original article peer-reviewed HIGH-DOSE DEXAMETHASONE VERSUS TOCILIZUMAB IN MODERATE TO SEVERE COVID-19 PNEUMONIA: A RANDOMIZED CONTROLLED TRIAL Naveen B. Naik, Goverdhan D. Puri, Kamal Kajal, Varun Mahajan, Ashish Bhalla, Sandeep Kataria, Karan Singla, Pritam Panigrahi, Ajay Singh, Michelle Lazar, Anjuman Chander, Venkata Ganesh , Amarjyoti Hazarika, Vikas Suri, Manoj K. Goyal, Vijayant Kumar Pandey, Narender Kaloria, Tanvir Samra, Kulbhushan Saini, Shiv L. Soni -------------------------------------------------------------------------------- Published: December 11, 2021 (see history) DOI: 10.7759/cureus.20353 Cite this article as: Naik N B, Puri G D, Kajal K, et al. (December 11, 2021) High-Dose Dexamethasone Versus Tocilizumab in Moderate to Severe COVID-19 Pneumonia: A Randomized Controlled Trial. Cureus 13(12): e20353. doi:10.7759/cureus.20353 -------------------------------------------------------------------------------- ABSTRACT BACKGROUND AND OBJECTIVES Recent randomized controlled trials (RCTs) have indicated potential therapeutic benefits with high-dose dexamethasone (HDD) or tocilizumab (TCZ) plus standard care in moderate to severe coronavirus disease 2019 (COVID-19) with acute respiratory distress syndrome (ARDS). No study has compared these two against each other. We aimed to compare the efficacy and safety of HDD against TCZ in moderate to severe COVID-ARDS. METHODS Patients admitted with moderate to severe COVID-19 ARDS with clinical worsening within 48 hours of standard care were randomly assigned to receive either HDD or TCZ plus standard care. The primary outcome was ventilator-free days (VFDs) at 28 days. The main secondary outcomes were 28-day all-cause mortality and the incidence of adverse events. Our initial plan was to perform an interim analysis of the first 42 patients. RESULTS VFDs were significantly lower in the HDD arm (median difference: 28 days; 95% confidence interval (CI): 19.35-36.65; Cohen’s d = 1.14; p < 0.001). We stopped the trial at the first interim analysis due to high 28-day mortality in the HDD arm (relative risk (RR) of death: 6.5; p = 0.007; NNT (harm) = 1.91). The incidence of secondary infections was also significantly high in the HDD arm (RR: 5.5; p = 0.015; NNT (harm) = 2.33). CONCLUSIONS In our study population, HDD was associated with a very high rate of mortality and adverse events. We would not recommend HDD to mitigate the cytokine storm in moderate to severe COVID-19 ARDS. TCZ appears to be a much better and safer alternative. INTRODUCTION Coronavirus disease 2019 (COVID-19) has been associated with high mortality in moderate and severe acute respiratory distress syndrome (ARDS). The hyper-inflammatory response triggered by SARS-CoV-2 is characterized by the overproduction of pro-inflammatory cytokines, leading to organ dysfunction [1,2]. Intervening timely with immunomodulatory therapies might mitigate the severity. Based on this assumption, researchers have been focusing on several interventions, including IL-6 inhibitors and corticosteroids [3-10]. The largest trial of tocilizumab (TCZ) to date has shown significant survival benefits with TCZ plus standard care [11]. However, the dose of corticosteroids in COVID-19 has remained controversial. Although the results of two recent randomized controlled trials (RCTs) have shown potential therapeutic benefits with dexamethasone, the practice remains variable [12,13]. The COVID-19 pandemic has exhausted the resources of low- and middle-income countries. The scenario was remarkably grim in India, amidst the second wave, with insufficient TCZ supply [14]. Affordable and widely available effective alternate immunomodulatory therapies besides TCZ were urgently needed. We hypothesized that timely treatment with high-dose dexamethasone (HDD) may downregulate the integrated pathways of inflammation-coagulation-fibroproliferation and potentially improve patient outcomes. To the best of our understanding, this is the first RCT to compare the efficacy of HDD against TCZ in patients with moderate to severe COVID-19 ARDS. MATERIALS & METHODS STUDY DESIGN This study was conducted between May 6 and June 28, 2021, at a tertiary care hospital in India. Our objective was to investigate the efficacy and safety of early rescue therapy with HDD versus TCZ in COVID-19 unresponsive to standard care. The study protocol, statistical analysis proposal, and criteria for premature study termination were planned a priori (Figure 4 and Figure 5 in the Appendices). The trial was approved by the Institutional Ethics Committee (reference number: NK/7349/Study/939) and registered in the clinical trial registry of India (CTRI/2021/04/033263 (April 30, 2021)). Prior to enrolment and randomization, written informed consent was taken from the participants or their legal representatives. PARTICIPANTS Participants aged 18 years and older, with confirmed SARS-CoV-2 infection by reverse-transcriptase polymerase chain reaction (RT-PCR) assay, were recruited. Patients with a partial pressure of arterial oxygen to fraction of inspired oxygen (PaO2/FiO2) ratio of less than 200 on admission and receiving standard care were screened for eligibility. Among these patients, those with clinical worsening in less than 48 hours of the initiation of standard care were randomized. Clinical worsening was defined as follows: (1) decrease in PaO2/FiO2 by more than 50 of the baseline admission value, (2) oxygenation/ventilation device is upgraded, and (3) static or rising levels of C-reactive protein (CRP > 50 mg/L). The exclusion criteria included patients with prior history of immunosuppression and use of immunosuppressive drugs, raised septic biomarkers suggestive of invasive bacterial or fungal infection, AST/ALT ≥ five times the upper limit of normal, leukocytes < 2 × 103/μL, thrombocytes < 50 × 103/μL, and acute or chronic diverticulitis. RANDOMIZATION Block randomization was done using an online random number generator with varying block sizes with the unique subject or patient code generated against the block sequence number [15]. This is an open-label study, and after randomization, there was no masking. The investigators, treating clinical teams, and participants were not blinded, whereas the research personnel compiling and analyzing the outcome data were blinded to the group allotment. PROCEDURE Patients with COVID-19 who were admitted to our hospital with PaO2/FiO2 < 200 received standard care as per the hospital treatment protocol. Standard care included (a) oxygen supplementation; (b) intravenous (i.v.) remdesivir loading dose of 200 mg on day 1, followed by 100 mg for the next four days; (c) i.v. dexamethasone 6 mg for 10 days; (d) therapeutic low-molecular-weight heparin 1.5 mg/kg/day; and (e) proning. Within 48 hours of the initiation of standard care, if a patient showed clinical worsening, they were randomized to one of the intervention arms, HDD or TCZ. Patients in the HDD arm received i.v. dexamethasone 20 mg once daily for three days plus standard care until day 10. HDD dose of 20 mg was selected on the basis of a recent RCT [13]. Patients in the TCZ arm received a single i.v. infusion of TCZ 6 mg/kg plus standard care of 6 mg dexamethasone for 10 days. An additional dose of TCZ (6 mg/kg) will be administered if the patient shows no clinical improvement within 24 hours. The low dosing of TCZ was based on a previous study and due to supply considerations [14,16]. OUTCOMES The primary outcome was ventilator-free days (VFDs) within 28 days since randomization. The secondary endpoints were all-cause mortality, the incidence of adverse events (i.e., secondary infections, insulin requirement for hyperglycemia, and vasopressor requirement), variation in the Sequential Organ Failure Assessment (SOFA) score and WHO Clinical Progression Scale (WHO-CPS), duration of ICU stay, CRP variation, time to negative result on RT-PCR, and time to discharge. STATISTICAL ANALYSIS The study was designed to compare the means of VFDs across the two groups to demonstrate an effect size of 0.8 (Cohen’s d) with a power of 80% and α at 0.05. A sample size of 42 across two groups (21 per group) was estimated using G power 3.1.9.4. A priori, when this sample size had been reached, we planned for an interim analysis to decide whether to proceed with recruitment to our secondary sample size or to stop the trial based on preset criteria (Figure 5 in the Appendices). Normality was assessed using skewness indicators and/or Q-Q plots. Categorical data have been expressed as count (%) and were analyzed using the Chi-squared/Fisher’s exact test. Time to event analysis has been done using the Kaplan-Meier (K-M) survival estimates, competing risks regression, and Cox proportional hazards, where assumptions have been met and the model fit was significantly better than the null. Missing data was less than 5%, so no imputation methods were used. The analysis has been done using SPSS version 25.0 for Windows (SPSS Inc., Chicago, IL, USA), Stata 15 (StataCorp. 2017. Stata Statistical Software: Release 15. College Station, TX: StataCorp LLC), and R studio 1.4.1130.0. RESULTS A total of 87 patients with COVID-19 ARDS on admission were screened for inclusion, of whom 42 were randomized (Figure 1). The demography, clinical characteristics, and biomarkers of the patients at baseline and intervention are presented in Table 1. FIGURE 1: CONSOLIDATED STANDARDS OF REPORTING TRIALS (CONSORT) FLOW DIAGRAM OF THE STUDY. High-dose dexamethasone arm (n = 21) Tocilizumab arm (n = 21) p-value Age, median (IQR), years 51 (45–58) 50 (44–65) 0.920a BMI, median (IQR), kg/m2 30.20 (26.4–35.6) 27.45 (25.90–30.61) 0.232a Sex, number (%) Male 12 (57.14%) 12 (57.14%) 1.000b Female 9 (42.86%) 9 (42.86%) Coexisting conditions, number (%) Diabetes mellitus 7 (33.33%) 8 (38.10%) 0.747b Hypertension 11 (52.38%) 13 (61.90%) 0.533b Chronic kidney disease 0 (0%) 0 (0%) - Coronary artery disease 0 (0%) 1 (4.76%) 1.000b Chronic liver disease 0 (0%) 0 (0%) - Chronic obstructive pulmonary disease 0 (0%) 2 (9.52%) 1.000b Asthma 0 (0%) 1 (4.76%) 1.000b Hypothyroid 2 (9.52%) 1 (4.76%) 1.000b Pregnancy 1 (4.76%) 2 (9.52%) 0.698b Days from symptom onset, median (IQR), days On admission 6 (6–7) 7 (6–7) 0.039a On the first dose of intervention (high-dose dexamethasone or tocilizumab) 7 (7–8) 8 (7–9) 0.011*a PaO2/FiO2, median (IQR), mmHg On admission 125.14 (110.29–138.67) 134.5 (117–181) 0.07a On the first dose of intervention (high-dose dexamethasone or tocilizumab) 81.07 (68.22–91.60) 80.93 (62.20–113) 0.920a Respiratory support at admission, number (%) Invasive mechanical ventilation 0 (0%) 0 (0%) 0.617b Noninvasive ventilation 2 (9.52%) 1 (4.76%) High-flow nasal cannula 1 (4.76%) 2 (9.52%) Non-rebreather mask 15 (71.43%) 12 (57.14%) Face mask/nasal prongs 3 (14.29%) 6 (28.57%) Respiratory support at intervention, number (%) Invasive mechanical ventilation 1 (4.76%) 1 (4.76%) 0.597b Noninvasive ventilation 8 (38.10%) 5 (23.81%) High-flow nasal cannula 12 (57.14%) 15 (71.43%) Non-rebreather mask 0 (0%) 0 (0%) Face mask/nasal prongs 0 (0%) 0 (0%) Hours in prone position during hospital stay, median (IQR) 96 (0–128) 48 (0–80) 0.063a Laboratory variables at admission, median (IQR) C-Reactive protein, median (IQR), mg/dL 54.2 (33.4–75.1) 75 (47–90) 0.218a White blood cell count, median (IQR), × 103/μL 8.4 (7.6–10.7) 8.1 (7.30–9.70) 0.413a Neutrophil/lymphocyte ratio 15.62 (12.21–20.75) 16.40 (10.33–21.40) 0.811a Platelet count, × 103/μL 246 (189–316.5) 221 (168–276 ) 0.083a Ferritin, ng/mL 702.5 (503.2–989) 522 (321.8–969) 0.252a D-Dimer, ng/mL 1568 (694–3455) 853 (512–2388) 0.204a Laboratory variables at intervention, median (IQR) C-Reactive protein, median (IQR), mg/dL 89.2 (72–135.70) 111 (74.30–151.40) 0.443a White blood cell count, median (IQR), × 103/μL 11.2 (9.3–13.20) 10.6 (9.1–11.70) 0.227a Neutrophil/lymphocyte ratio 17 (10.94–21.78) 13 (9.73–19.10) 0.489a Platelet count, median (IQR), × 103/μL 233 (196–347.5) 258 (172–357) 0.597a Ferritin, median (IQR), ng/mL 607 (428.45–1410) 631.9 (256.65–992.77) 0.170a D-Dimer, median (IQR), ng/mL 1118 (541.65–3513.1) 649 (389.38–1734.75) 0.930a TABLE 1: DEMOGRAPHY, CLINICAL CHARACTERISTICS, AND BIOMARKERS OF PATIENTS AT BASELINE AND INTERVENTION. *p-value < 0.05 was considered significant; a: Mann–Whitney U-test; b: Chi-squared/Fisher’s exact test. IQR: interquartile range; PaO2/FiO2: partial pressure of arterial oxygen to fraction of inspired oxygen. UNIVARIATE ANALYSIS Primary Outcome VFDs were significantly lower in the HDD group (9.76 ± 12.94 (95% CI: 3.87-25.65) versus 22.86 ± 9.75 (95% CI: 18.42-27.30); Cohen’s d = 1.14; p < 0.001) at a calculated power of 99.99% (Figure 2a). The median difference was 28 days (95% CI: 19.35-36.65) (Table 2). FIGURE 2: OUTCOMES. (A) VIOLIN PLOT OF VENTILATOR-FREE DAYS. (B) BAR DIAGRAM SHOWING MORTALITY DISTRIBUTED AMONG THE TREATMENT GROUP AND POSTTREATMENT INTUBATION STATUS. ONE PATIENT WAS INTUBATED ON THE DAY OF THERAPY IN THE TOCILIZUMAB ARM AND WAS SUCCESSFULLY EXTUBATED AS WELL. (C) KAPLAN–MEIER ESTIMATES OF CUMULATIVE HOSPITAL DISCHARGE RATES AND (D) IMPROVEMENT IN WHO CLINICAL PROGRESSION SCALE. Outcomes HDD arm (n = 21) TCZ arm (n = 21) p-value Primary outcome Ventilator-free days Mean ± SD (95% CI) 9.76 ± 12.94 (3.87–25.65) 22.86 ± 9.75 (18.42–27.30) Median (IQR) 0 (0–25) 28 (24–28) 0.001*a Secondary outcome 28-Day results All-cause mortality, number (%) 13 (61.90%) 2 (9.52%) <0.001*b Intubation rates posttreatment, number (%) 13 (61.90%) 2 (9.52%) <0.001*b ICU free, median (IQR), days 1 (1–5) 4 (3.5–5.5) 0.017*a MV duration, median (IQR), days 12 (2.5–15.5) 0 (0–3) <0.001*a Discharged from the hospital within 28 days, number (%) 8 (38.10%) 19 (90.48%) 0.030*b SOFA score, median, (IQR) On treatment day 5 (4–8) 5 (4–6) 0.353a 48 hours later 4 (4–8) 4 (4–5) 0.303a 7 days after intervention 5 (2–7) 2 (2–2) 0.002*a WHO-CPS score, median, (IQR) On treatment day 6 (6–6) 6 (6–6) 0.573a 7 days after intervention 6 (5–8) 5 (3–5) <0.001*a Mean time (days) to improvement in WHO-CPS score by 1 (i.e., a decrease by 1) 17.90 (underestimated) 6.48 (underestimated) 0.002*c Renal replacement therapy, number (%) 2 (9.52%) 0 (0%) 0.488b Vasopressor use, number (%) 13 (61.90%) 3 (14.29%) 0.001*b Time to RT-PCR negative status (days), median (IQR) 19 (17–19) 17 (16–17) 0.026*a Hospital stay, median (IQR), days 17 (13–17) 12 (11–12) 0.003*a TABLE 2: OUTCOMES. *p-value < 0.05 was considered significant; a: Mann–Whitney U-test; b: Chi-squared/Fisher's exact test; c: log-rank test from Kaplan–Meier survival estimates (see text and Appendices for further details). HDD: high-dose dexamethasone; TCZ: tocilizumab; CI: confidence interval; IQR: interquartile range; MV: mechanical ventilation; ICU: intensive care unit; SOFA: Sequential Organ Failure Assessment score; WHO-CPS: World Health Organization Clinical Progression Scale; RT-PCR: reverse-transcriptase polymerase chain reaction. Secondary Outcomes All-cause mortality at 28 days was significantly higher at 61.9% (95% CI: 39.06%-80.46%) in the HDD group, compared with 9.52% (95% CI: 2.21%-32.89%) in the TCZ group, with a p < 0.001, a large effect size of w = 0.72, and calculated power > 97% (Figure 2b). The relative risk (RR) of death in the HDD group was 6.5 (95% CI: 1.67-25.33; p = 0.007; NNT (harm) = 1.91). The preventable fraction for mortality in the TCZ group was computed as 0.79 (95% CI: 0.064-0.98) with a preventable fraction in the population of 0.333. The proportion of patients discharged at day 28 was significantly higher in the TCZ group at 90.48% (95% CI: 67.1%-97.79%) versus 38.10% (95% CI: 19.54%-60.93%) in the HDD group (Table 2). The SOFA and WHO-CPS scores were significantly better in the TCZ group on day 7 after the intervention, paralleling an improvement in the PaO2/FiO2 ratio on day 7 in the TCZ group (median difference: 132.96 (95% CI: 55.15-210.77; p < 0.001)) (Figure 6 in the Appendices). The proportion of patients requiring vasopressors was 61.90% in the HDD group against 14.29% in the TCZ group (p = 0.001). The median number of days a patient remained RT-PCR positive for SARS-CoV-2 was higher in the HDD group. The duration of hospital stay was also high in the HDD group (Table 2). The distributions of PaO2/FiO2, total leucocyte count (TLC), neutrophil/lymphocyte (N/L) ratio, CRP, ferritin, and D-dimer in both groups at various time points are presented in Figure 3 (also see Table 4, Figure 6, and Figure 7 in the Appendices). CRP had the best negative correlation with PaO2/FiO2 (Figure 8 in the Appendices). FIGURE 3: BOXPLOTS OF BIOMARKERS STRATIFIED BY TREATMENT GROUPS AND OUTCOME (DISCHARGED/EXPIRED) AT VARIOUS TIME POINTS: (A) PAO2/FIO2 RATIO (PFR), (B) TOTAL LEUKOCYTE COUNT (TLC), (C) NEUTROPHIL/LYMPHOCYTE RATIO (N/L RATIO OR NLR), (D) C-REACTIVE PROTEIN (CRP), (E) D-DIMER, AND (F) FERRITIN. MULTIVARIATE AND SURVIVAL ANALYSIS The median time to discharge was 20 days (95% CI: 13 to infinity) in the HDD group against 10 days (95% CI: 9-13) with a log-rank test p-value < 0.001 (Figure 2c). The median time to RT-PCR negative status was 12 days (95% CI: 11-14) in the HDD group and 10 days (95% CI: 9-10) in the TCZ group (log-rank test p = 0.006). A K-M analysis with a similarly censored time variable and WHO-CPS improvement as the dependent variable gave a mean time to the improvement of 17.9 (95% CI: 12.80-23.00) in the HDD group against 6.48 (95% CI: 3.40-9.55) in the TCZ group (Figure 2d and Table 5 in the Appendices). After assessing for proportionality, the Cox proportional hazards model was fit on the above and adjusted for the variables PaO2/FiO2 ratio at baseline, days from symptom onset at intervention, CRP, TLC, and N/L ratio at intervention. This gave a hazard ratio of 3.69 (95% CI: 1.34-10.15; p = 0.024) for WHO-CPS improvement in the TCZ group (Figure 2d and Table 6 in the Appendices). A competing risks regression with days posttreatment as the time variable and death as competing interest gave an adjusted sub-hazard ratio (SHR) for discharge of 5.86 (95% CI: 1.49-23.04; p = 0.011) in the TCZ group. Similarly, with discharge as a competing interest, the TCZ group had an adjusted SHR for death of 0.085 (95% CI: 0.016-0.44; p = 0.003) (Table 7, Figure 9, and Figure 10 in the Appendices). ADVERSE EVENT OUTCOMES The main reason the trial was stopped at the interim analysis stage was the increased mortality and adverse event rate observed in the HDD arm. This was chiefly due to new infections in HDD (relative risk: 5.5; 95% CI: 1.38-21.86; p = 0.015; NNT (harm) = 2.33; 95% CI: 5.53-1.48). Table 3 summarizes the adverse events per Common Terminology Criteria for Adverse Events (CTCAE) version 5 [17]. The overall adverse event rate per 100 patient days was 61.43 in the HDD group versus 27.72 in the TCZ group. Adverse events, number of patients (%) Number of events Event rate ratio HDD/TCZ p-value (exact rate ratio test) Total (n = 42) HDD (n = 21) TCZ (n = 21) HDD (number in 306 patient days) TCZ (number in 220 patient days) Deaths 15 (36.06%) 13 (61.9%) 2 (9.52%) 13 2 4.67 (1.06–42.65) 0.023* Infections 13 (30.95%) 11 (52.38%) 2 (9.52%) 25 2 8.9 (2.24–78.28) <0.001* Grade 3 or worse adverse events by CTCAE version 5, MedDRA system organ class preferred terms Cardiac disorders Supraventricular tachycardia 1 (2.38%) 0 (0%) 1 (4.76%) 0 1 0 (0–28.04) 0.41 Sinus bradycardia 1 (2.38%) 0 (0%) 1 (4.76%) 0 1 0 (0–28.04) 0.41 Cardiac arrest 15 (36.06%) 13 (61.9%) 2 (9.52%) 13 2 4.67 (1.06–42.65) 0.023* Infections or infestations Fungemia 8 (19.04%) 8 (38.09%) 0 (0%) 8 0 Zero denominator 0.013* Catheter-related infection 7(16%) 6 (28.27%) 1 (4.76%) 6 1 4.31 (0.52–198.42) 0.158 Lung infection 11 (26.19%) 10 (47.61%) 1 (4.76%) 11 1 7.91 (1.15–340.41) 0.016* Respiratory, thoracic, and mediastinal disorders Grade 4 adult respiratory distress syndrome 15 (36.06%) 13 (61.9%) 3 (14.28%) 13 3 3.12 (0.85–17.04) 0.065 Vascular disorders Shock 16 (38.09%) 13 (61.90%) 3 (14.29%) 13 3 3.12 (0.85–17.04) 0.065 Metabolism and nutrition disorders Hyperglycemiaᴪ 30 (71.43%) 21 (100%) 9 (42.86%) 106 49 1.56 (1.09–2.23) 0.009* Gastrointestinal disorders Gastric hemorrhage 4 (9.52%) 4 (19.04%) 0 (0%) 18 0 Zero denominator <0.001* Total number of events‡ 188 61 2.22 (1.65–3.01) <0.001* TABLE 3: ADVERSE EVENTS. All cardiac arrests were grade 5. ‡Excludes deaths and infections to avoid duplication. ᴪBlood sugar > 180 mg/dL. *p-value < 0.05 was considered significant. HDD: high-dose dexamethasone; TCZ: tocilizumab; CTCAE: Common Terminology Criteria for Adverse Events. DISCUSSION Steroids have been extensively used and evaluated since the beginning of the pandemic. Several cohort studies described varied findings, either favorable or unfavorable, promoting confusion especially when it concerns the dose of steroids [8-10]. The first RCT on the role of steroids in COVID-19 has recommended that dexamethasone 6 mg once daily for 10 days decreased mortality [12]. A recent RCT on HDD has shown therapeutic benefit at doses of 20 mg per day in critically ill patients with COVID-19 [13]. Treatment with HDD was beneficial in lowering mortality and the period of mechanical ventilation in critically ill patients with non-COVID-19 ARDS [18]. Despite these promising results, there is still uncertainty regarding the role of HDD in COVID-19. Several meta-analyses have claimed TCZ to be a safe and effective drug in reducing the risk of death [19-21]. In a low- to middle-income country with scarce TCZ supply amidst the pandemic, we surmised that HDD would be an easily accessible, low-cost, and potentially effective treatment option. At moderate or high doses, it has not been linked with detrimental effects [12,13]. Hence, we sought to compare the therapeutic effectiveness of HDD and TCZ in COVID-19. VFDs were selected as the principal outcome as it takes into account mortality and the period of ventilation together in a manner that summarizes the net effect of an intervention on these parameters [22]. The major difference between recent RCTs and our study is that patients with clinical worsening within 48 hours of receiving standard care were treated with HDD or TCZ, as a rescue, second-line therapy [11-13,19-21]. Characteristically, ARDS presents with a profound pulmonary and systemic inflammatory reaction within 48 hours, giving rise to aggravated pulmonary inflammation and fibroproliferation [23]. Failed efforts to halt the self-perpetuating tissue inflammation within a specified time lead to the subsequent suppression of lung function and increased chances of mortality. Therefore, we ensured that all the randomized patients unresponsive to standard care received immediate rescue therapy within 48 hours of worsening ARDS. Notably, our findings show that HDD was associated with high 28-day mortality and was poorly tolerated. There was a significantly higher incidence of adverse events, especially new infections. This high incidence was beyond the predetermined limits of futility, fostering a very weak probability of a large trial. Our findings have unveiled the ineffectiveness and poor safety of HDD therapy in COVID-19 ARDS with PaO2/FiO2 < 200. Hence, as decided by the institute clinical management board, the trial was stopped immediately after the prespecified interim analysis. Our study results favor the use of TCZ in moderate to severe COVID-19. Several RCTs examining the role of TCZ in COVID-19 reported conflicting results [24,25]. These trials differed considerably in study design, illness severity of enrolled patients, and imbalances in the use of steroids between study groups. The RECOVERY trial reported all-cause mortality of 31% among patients allocated to the TCZ arm and 35% in the usual care arm (rate ratio: 0.85; 95% CI: 0.76-0.95; p = 0.0028) [11]. Our study had an all-cause mortality rate ratio of 0.21 (95% CI: 0.02-0.93; p = 0.022); however, our study was never powered to detect this outcome. Nevertheless, IL-6 inhibitors also have the potential to suppress the host immune response and could hypothetically raise the probability of acquiring secondary infections. In our trial, we did not witness a greater risk of infection or adverse events with TCZ use. These findings support previous RCTs about the safety of TCZ in COVID-19 [11,24,25]. Our study has certain limitations. First, the trial was discontinued after the first interim analysis, at a limited sample size; hence, the precision of the treatment effect estimates might be low than anticipated. However, it would be prudent to note that this interim analysis sample size was calculated to be valid for demonstrating a large effect size with adequate power when it came to VFDs as the primary outcome measure. A larger sample size, no doubt, would have been able to detect the differences in the effects of HDD or TCZ on mortality. Second, the study lacks a control arm. We did not compare outcomes against a control group that should have received only the standard care. Third, a different dose of dexamethasone might have provided a different result; therefore, the outcomes portrayed in this study should be linked only to the particular dose administered. Despite the above limitations, our robust study design and results add necessary evidence to the scientific community. Our findings await subsequent clarification from ongoing clinical trials on different doses of dexamethasone [26-28]. CONCLUSIONS Our study findings discourage the use of high doses of dexamethasone in the management of moderate to severe COVID-19 ARDS. The routine use of such high doses to mitigate the inflammatory cytokine storm in these patients might worsen outcomes possibly due to a high rate of secondary infections and therefore cannot be recommended. From this study, we can conclude that tocilizumab is associated with a decreased mortality, reduced need for invasive mechanical ventilation, and a higher probability of successful hospital discharge in comparison with high-dose dexamethasone when used in the context of mitigating the adverse effects of the cytokine storm. -------------------------------------------------------------------------------- REFERENCES 1. Mehta P, McAuley DF, Brown M, Sanchez E, Tattersall RS, Manson JJ: COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet. 2020, 395:1033-4. 10.1016/S0140-6736(20)30628-0 2. Henderson LA, Canna SW, Schulert GS, et al.: On the alert for cytokine storm: immunopathology in COVID-19. Arthritis Rheumatol. 2020, 72:1059-63. 10.1002/art.41285 3. Sanders JM, Monogue ML, Jodlowski TZ, Cutrell JB: Pharmacologic treatments for coronavirus disease 2019 (COVID-19): a review. JAMA. 2020, 323:1824-36. 10.1001/jama.2020.6019 4. Alijotas-Reig J, Esteve-Valverde E, Belizna C, et al.: Immunomodulatory therapy for the management of severe COVID-19. Beyond the anti-viral therapy: a comprehensive review. Autoimmun Rev. 2020, 19:102569. 10.1016/j.autrev.2020.102569 5. Hermine O, Mariette X, Tharaux PL, Resche-Rigon M, Porcher R, Ravaud P: Effect of tocilizumab vs usual care in adults hospitalized with COVID-19 and moderate or severe pneumonia: a randomized clinical trial. JAMA Intern Med. 2021, 181:32-40. 10.1001/jamainternmed.2020.6820 6. Salvarani C, Dolci G, Massari M, et al.: Effect of tocilizumab vs standard care on clinical worsening in patients hospitalized with COVID-19 pneumonia: a randomized clinical trial. JAMA Intern Med. 2021, 181:24-31. 10.1001/jamainternmed.2020.6615 7. Zhang C, Wu Z, Li JW, Zhao H, Wang GQ: Cytokine release syndrome in severe COVID-19: interleukin-6 receptor antagonist tocilizumab may be the key to reduce mortality. Int J Antimicrob Agents. 2020, 55:105954. 10.1016/j.ijantimicag.2020.105954 8. Russell CD, Millar JE, Baillie JK: Clinical evidence does not support corticosteroid treatment for 2019-nCoV lung injury. Lancet. 2020, 395:473-5. 10.1016/S0140-6736(20)30317-2 9. Yang Z, Liu J, Zhou Y, Zhao X, Zhao Q, Liu J: The effect of corticosteroid treatment on patients with coronavirus infection: a systematic review and meta-analysis. J Infect. 2020, 81:e13-20. 10.1016/j.jinf.2020.03.062 10. Sterne JA, Murthy S, Diaz JV, et al.: Association between administration of systemic corticosteroids and mortality among critically ill patients with COVID-19: a meta-analysis. JAMA. 2020, 324:1330-41. 10.1001/jama.2020.17023 11. RECOVERY Collaborative Group: Tocilizumab in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial. Lancet. 2021, 397:1637-45. 10.1016/S0140-6736(21)00676-0 12. Horby P, Lim WS, Emberson JR, et al.: Dexamethasone in hospitalized patients with Covid-19. N Engl J Med. 2021, 384:693-704. 10.1056/NEJMoa2021436 13. Tomazini BM, Maia IS, Cavalcanti AB, et al.: Effect of dexamethasone on days alive and ventilator-free in patients with moderate or severe acute respiratory distress syndrome and COVID-19: the CoDEX randomized clinical trial. JAMA. 2020, 324:1307-16. 10.1001/jama.2020.17021 14. National Herald: India stares at shortage of COVID-19 drug tocilizumab as importer Cipla runs out of stock. (2021). Accessed: November 17, 2021: https://www.nationalheraldindia.com/india/india-stares-at-shortage-of-covid-19-drug-tocilizumab-as-importer-cipla-run.... 15. Sealed Envelope: Create a randomisation list. (2021). Accessed: November 17, 2021: https://www.sealedenvelope.com/simple-randomiser/v1/lists. 16. De Rossi N, Scarpazza C, Filippini C, et al.: Early use of low dose tocilizumab in patients with COVID-19: a retrospective cohort study with a complete follow-up. EClinicalMedicine. 2020, 25:100459. 10.1016/j.eclinm.2020.100459 17. Protocol Development: Common Terminology Criteria for Adverse Events (CTCAE). (2021). Accessed: November 17, 2021: https://ctep.cancer.gov/protocoldevelopment/electronic_applications/ctc.htm. 18. Villar J, Ferrando C, Martínez D, et al.: Dexamethasone treatment for the acute respiratory distress syndrome: a multicentre, randomised controlled trial. Lancet Respir Med. 2020, 8:267-76. 10.1016/S2213-2600(19)30417-5 19. Aziz M, Haghbin H, Abu Sitta E, et al.: Efficacy of tocilizumab in COVID-19: a systematic review and meta-analysis. J Med Virol. 2021, 93:1620-30. 10.1002/jmv.26509 20. Zhao J, Cui W, Tian BP: Efficacy of tocilizumab treatment in severely ill COVID-19 patients. Crit Care. 2020, 24:524. 10.1186/s13054-020-03224-7 21. Chen CX, Hu F, Wei J, Yuan LT, Wen TM, Gale RP, Liang Y: Systematic review and meta-analysis of tocilizumab in persons with coronavirus disease-2019 (COVID-19). Leukemia. 2021, 35:1661-70. 10.1038/s41375-021-01264-8 22. Yehya N, Harhay MO, Curley MA, Schoenfeld DA, Reeder RW: Reappraisal of ventilator-free days in critical care research. Am J Respir Crit Care Med. 2019, 200:828-36. 10.1164/rccm.201810-2050CP 23. Burnham EL, Janssen WJ, Riches DW, Moss M, Downey GP: The fibroproliferative response in acute respiratory distress syndrome: mechanisms and clinical significance. Eur Respir J. 2014, 43:276-85. 10.1183/09031936.00196412 24. Tleyjeh IM, Kashour Z, Damlaj M, et al.: Efficacy and safety of tocilizumab in COVID-19 patients: a living systematic review and meta-analysis. Clin Microbiol Infect. 2021, 27:215-27. 10.1016/j.cmi.2020.10.036 25. Rosas IO, Bräu N, Waters M, et al.: Tocilizumab in hospitalized patients with severe Covid-19 pneumonia. N Engl J Med. 2021, 384:1503-16. 10.1056/NEJMoa2028700 26. Munch MW, Granholm A, Myatra SN, et al.: Higher vs lower doses of dexamethasone in patients with COVID-19 and severe hypoxia (COVID STEROID 2) trial: protocol and statistical analysis plan. Acta Anaesthesiol Scand. 2021, 65:834-45. 10.1111/aas.13795 27. Maskin LP, Olarte GL, Palizas F Jr, et al.: High dose dexamethasone treatment for acute respiratory distress syndrome secondary to COVID-19: a structured summary of a study protocol for a randomised controlled trial. Trials. 2020, 21:743. 10.1186/s13063-020-04646-y 28. University of Oxford: Randomised Evaluation of COVID-19 Therapy (RECOVERY). (2021). https://clinicaltrials.gov/ct2/show/NCT04381936. -------------------------------------------------------------------------------- APPENDICES The study protocol that was initially proposed has been represented in the following flowchart (Figure 4), and the a priori statistical analysis plan is depicted in Figure 5. FIGURE 4: THE PROPOSED STUDY PROTOCOL. PaO2/FiO2: partial pressure of arterial oxygen to fraction of inspired oxygen; f/b: followed by; MPS: methylprednisolone; TLC: total leucocyte count; AST: aspartate aminotransferase; ALT: alanine aminotransferase; CRP: C-reactive protein; WHO-CPS: World Health Organization Clinical Progression Scale; NRBM: non-rebreather mask; HFNC: high-flow nasal cannula; NIV: noninvasive ventilation; IPPV: invasive positive pressure ventilation. FIGURE 5: STATISTICAL ANALYSIS/INTERIM ANALYSIS PLAN. The course of biomarkers is shown in Table 4 as the median difference between various time points. The relationship between the biomarkers and PaO2/FiO2 ratio is shown in Figure 6. Figure 7 depicts the median and interquartile range of the various biomarkers between groups as violin plots, and Figure 8 illustrates the correlation scatterplot between the markers and PaO2/FiO2 ratio, which shows the Spearman rank correlation coefficients. CRP appears to have the best negative correlation with the PaO2/FiO2 ratio. Outcomes High-dose dexamethasone (n = 21) Tocilizumab (n = 21) p-value** CRP (mg/dL), median difference between time points (95% CI) Baseline to treatment day 35 (-10.88 to 80.88) 36 (-5.03 to 77.03) 0.93 Treatment day to 24 hours -16.4 (-61.11 to 28.31) -53.5 (-96.21 to -10.71) 0.116 Treatment day to 48 hours -32.9 (-75.83 to 10.03) -73.5 (-111.16 to -35.84) 0.038* Treatment day to day 3 - 48.49 (-93.62 to -3.36) -95.33 (-126.86 to -63.79) 0.014* Treatment day to day 4 - 51.51 (-104.05 to 1.04) -102.88 (-131.55 to -74.20) 0.004* Treatment day to day 7 -51 (-111.99 to 9.99) -108.54 (-136.85 to - 80.22) 0.001* Treatment day to day 10 - 54.42 (-108.03 to -0.80) -109.91 (-145.52 to -74.30) 0.002* Treatment day to outcome day - 57.1 (-111.02 to -3.18) -110.36 (-137.23 to -83.48) 0.008* Ferritin (ng/mL), median difference between time points (95% CI) Baseline to treatment day -53.8 (-539.43 to 431.84) 151 (-276.89 to 578.89) 0.428 Treatment day to 24 hours -62 (-575.75 to 451.75) -72.1 (-543.9 to 399.7) 0.327 Treatment day to 48 hours -59.7 (-539.28 to 419.88) -159 (-545.61 to 227.611) 0.333 Treatment day to day 3 - 141.7 (-651.60 to 368.20) -179 (-547.59 to 189.59) 0.428 Treatment day to day 4 - 166.7 (-671.02 to 337.62) -114 (-1394.34 to 1166.34) 0.428 Treatment day to day 7 -150 (-693.09 to 393.09) -333 (-705.78 to 39.78) 0.274 Treatment day to day 10 - 111.7 (-638.47 to 415.07) -361 (-778.4 to 56.4) 0.122 Treatment day to outcome day - 269.4 (-936.06 to 397.27) -461 (-790.71 to -131.29) 0.333 D-Dimer (ng/mL), median difference between time points (95% CI) Baseline to treatment day -514.8 (-2205.57 to 1175.97) 47 (-2053.98 to 2147.98) 0.064 Treatment day to 24 hours -474.06 (-2062.58 to 1114.46) 772 (-809.9 to 2353.9) 0.011* Treatment day to 48 hours 75.8 (-1513.10 to 1664.70) 771 (-901.35 to -2443.35) 0.554 Treatment day to day 3 71.8 (-1180.89 to 1324.49) 152 (-1278.13 to 1582.13) 0.155 Treatment day to day 4 214.58 (-1398.48 to 1827.64) -114 (-1394.34 to 1166.34) 0.285 Treatment day to day 7 -68.2 (-1182.07 to 1045.67) -357 (-1559.94 to 845.94) 0.148 Treatment day to day 10 - 307.7 (-1585.92 to 970.52) -440 (-1979.02 to 1099.02) 0.094 Treatment day to outcome day - 288.2 (-1639.72 to 1063.32) -675 (-1838.18 to 488.18) 0.213 TABLE 4: COURSE OF BIOMARKERS IN OUR STUDY POPULATION. *p < 0.05 was considered significant; **Mann–Whitney U-test for comparing change from baseline to treatment day and from treatment day to indicated time point between treatment groups (the negative sign indicates a decrease from each earlier mentioned time point). Median differences and 95% CIs have been derived from quantile regression. CRP: C-reactive protein. FIGURE 6: TREND OF PAO2/FIO2 (P/F) RATIO WITH BIOMARKERS IN EACH GROUP (MEDIAN VALUES AND STANDARD ERRORS HAVE BEEN PLOTTED). FIGURE 7: PANEL OF VIOLIN PLOTS SHOWING PROGRESSION OVER TIME OF CRP (A AND D), FERRITIN (B AND E), AND D-DIMER (C AND F): A, B, AND C FOR THE HIGH-DOSE DEXAMETHASONE (HDD) GROUP, AND D, E, AND F FOR THE TOCILIZUMAB (TCZ) GROUP. PAIRWISE COMPARISONS ARE WITH THE WILCOXON SIGNED-RANK TEST. CRP: C-reactive protein. FIGURE 8: SCATTERGRAPH SHOWING CORRELATIONS BETWEEN PAO2/FIO2 RATIO, CRP, FERRITIN, AND D-DIMER IN ALL CASES AND BY GROUPS. HDD: high-dose dexamethasone; TCZ: tocilizumab; CRP: C-reactive protein; non-axial numbers (maroon): Spearman rank correlation coefficients; *: p-value < 0.05. Table 5, Table 6, and Table 7, and Figure 9 and Figure 10 show the results of the survival analysis and competing risks regression. Dependent variable Time variable Measured result Values 95% CI Statistical test Extended mean Discharge Days posttreatment Mean time HDD 17.80 (underestimated) 15.19–20.41 Log rank p value < 0.0001 24.33 Mean time TCZ 10.85 9.72–11.93 10.85 Median time HDD 20 13–infinity Median time TCZ 10 9–13 Expiry Days posttreatment Mean time HDD 16.87 15.10–18.63 Log rank p value = 0.839 16.87 Mean time TCZ 15.05 (underestimated) 13.83–16.26 69.99 Median time HDD 17 15–19 Median time TCZ Not computed 13–infinity RT-PCR negative status Days posttreatment censored at 28 days if expired Median time HDD 12 11–14 Log-rank p-value = 0.0059 Median time TCZ 10 9–10 WPS improvement by a score of 1 Days posttreatment censored at 28 days if expired Mean time HDD 17.90 (underestimated) 12.80–23 Log-rank p-value = 0.0024 46.50 Mean time TCZ 6.48 (underestimated) 3.40–9.55 7.61 Median time HDD Not computed 3–infinity Median time TCZ 4 3–6 TABLE 5: SURVIVAL ANALYSIS OUTCOMES (KAPLAN–MEIER ESTIMATES). p < 0.05 was considered significant; N.B., where median survival time could not be computed in any one group, the restricted means and extended means have been provided for careful interpretation, if necessary. HDD: high-dose dexamethasone; RT-PCR: real-time polymerase chain reaction; TCZ: tocilizumab; WPS: WHO Clinical Progression Scale. Dependent variable Time variable Measured result Values 95% CI p-value LR Chi-squared compared to null Prob>Chi-squared compared to null phtest Schonfeld residuals prob>Chi-squared (p-value) Discharge Days posttreatment HR TCZ 5.153 2.090–12.702 0.001 14.93 <0.001 0.5614 Adjusted# HR TCZ 5.106 1.628–16.009 0.005 18.38 0.053 0.5185 Expired Days posttreatment HR TCZ 0.843 0.159–4.471 0.841 0.04 0.839 0.5501 Adjusted# HR TCZ 0.315 0.034–2.899 0.308 9.57 0.144 0.678 WPS improvement by a score of 1 Days posttreatment censored at 28 days if expired HR TCZ 3.18 1.39–7.27 0.006 14.64 0.0001 0.5038 Adjusted# HR TCZ 3.69 1.34–10.15 0.024 18.71 0.032 0.5203 TABLE 6: COX PROPORTIONAL HAZARDS MODEL ESTIMATES. p < 0.05 was considered significant; #adjusting for the variables PaO2/FiO2 ratio at baseline, days from symptom onset at intervention, C-reactive protein (CRP), total leukocyte count (TLC), and neutrophil/lymphocyte (N/L) ratio at intervention. HR: hazard ratio; TCZ: tocilizumab; WPS: WHO Clinical Progression Scale. Dependent variable Competing interest Time variable Measured result Values 95% CI p-value Wald Chi-squared compared to null Prob>Chi-squared compared to null Discharge Expiry Days posttreatment Sub-HR TCZ 4.269 1.906–9.565 <0.001 12.44 0.0004 Adjusted# sub-HR TCZ 5.856 1.488–23.037 0.011 26.49 0.0002 Expiry Discharge Days posttreatment Sub-HR TCZ 0.119 0.024–0.584 0.009 6.89 0.0087 Adjusted# sub-HR TCZ 0.085 0.016–0.435 0.003 21.83 0.0013 TABLE 7: COMPETING RISKS REGRESSION. p < 0.05 was considered significant. HR: hazard ratio; TCZ: tocilizumab. FIGURE 9: COMPETING RISKS REGRESSION CURVES FOR THE OUTCOME OF DISCHARGE. FIGURE 10: COMPETING RISKS REGRESSION CURVES FOR THE OUTCOME OF DEATH. Original article peer-reviewed HIGH-DOSE DEXAMETHASONE VERSUS TOCILIZUMAB IN MODERATE TO SEVERE COVID-19 PNEUMONIA: A RANDOMIZED CONTROLLED TRIAL Naveen B. Naik, Goverdhan D. Puri, Kamal Kajal, Varun Mahajan, Ashish Bhalla, Sandeep Kataria, Karan Singla, Pritam Panigrahi, Ajay Singh, Michelle Lazar, Anjuman Chander, Venkata Ganesh, Amarjyoti Hazarika, Vikas Suri, Manoj K. Goyal, Vijayant Kumar Pandey, Narender Kaloria, Tanvir Samra, Kulbhushan Saini, Shiv L. Soni -------------------------------------------------------------------------------- AUTHOR INFORMATION NAVEEN B. NAIK Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND GOVERDHAN D. PURI Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND KAMAL KAJAL Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND VARUN MAHAJAN Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND ASHISH BHALLA Internal Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, IND SANDEEP KATARIA Anesthesia, BronxCare Health System, New York, USA KARAN SINGLA Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND PRITAM PANIGRAHI Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND AJAY SINGH Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND MICHELLE LAZAR Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND ANJUMAN CHANDER Anesthesia, Postgraduate Institute of Medical Education and Research, Chandigarh, IND VENKATA GANESH CORRESPONDING AUTHOR Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND AMARJYOTI HAZARIKA Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND VIKAS SURI Internal Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, IND MANOJ K. GOYAL Neurology, Postgraduate Institute of Medical Education and Research, Chandigarh, IND VIJAYANT KUMAR PANDEY Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND NARENDER KALORIA Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND TANVIR SAMRA Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND KULBHUSHAN SAINI Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND SHIV L. SONI Anesthesia and Intensive Care, Postgraduate Institute of Medical Education and Research, Chandigarh, IND -------------------------------------------------------------------------------- ETHICS STATEMENT AND CONFLICT OF INTEREST DISCLOSURES Human subjects: Consent was obtained or waived by all participants in this study. Institutional Ethics Committee issued approval INT/IEC/2021/SPL-697. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work. ACKNOWLEDGEMENTS We would like to thank all the patients and their families who participated and contributed to this study. -------------------------------------------------------------------------------- ARTICLE INFORMATION DOI 10.7759/cureus.20353 CITE THIS ARTICLE AS: Naik N B, Puri G D, Kajal K, et al. (December 11, 2021) High-Dose Dexamethasone Versus Tocilizumab in Moderate to Severe COVID-19 Pneumonia: A Randomized Controlled Trial. Cureus 13(12): e20353. doi:10.7759/cureus.20353 PUBLICATION HISTORY Peer review began: November 26, 2021 Peer review concluded: December 10, 2021 Published: December 11, 2021 COPYRIGHT © Copyright 2021 Naik et al. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. LICENSE This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Original article peer-reviewed HIGH-DOSE DEXAMETHASONE VERSUS TOCILIZUMAB IN MODERATE TO SEVERE COVID-19 PNEUMONIA: A RANDOMIZED CONTROLLED TRIAL Naveen B. Naik, Goverdhan D. Puri, Kamal Kajal, Varun Mahajan, Ashish Bhalla, Sandeep Kataria, Karan Singla, Pritam Panigrahi, Ajay Singh, Michelle Lazar, Anjuman Chander, Venkata Ganesh, Amarjyoti Hazarika, Vikas Suri, Manoj K. Goyal, Vijayant Kumar Pandey, Narender Kaloria, Tanvir Samra, Kulbhushan Saini, Shiv L. Soni -------------------------------------------------------------------------------- FIGURES ETC. FIGURE 1: CONSOLIDATED STANDARDS OF REPORTING TRIALS (CONSORT) FLOW DIAGRAM OF THE STUDY. Download full-size FIGURE 2: OUTCOMES. (A) VIOLIN PLOT OF VENTILATOR-FREE DAYS. (B) BAR DIAGRAM SHOWING MORTALITY DISTRIBUTED AMONG THE TREATMENT GROUP AND POSTTREATMENT INTUBATION STATUS. ONE PATIENT WAS INTUBATED ON THE DAY OF THERAPY IN THE TOCILIZUMAB ARM AND WAS SUCCESSFULLY EXTUBATED AS WELL. (C) KAPLAN–MEIER ESTIMATES OF CUMULATIVE HOSPITAL DISCHARGE RATES AND (D) IMPROVEMENT IN WHO CLINICAL PROGRESSION SCALE. Download full-size FIGURE 3: BOXPLOTS OF BIOMARKERS STRATIFIED BY TREATMENT GROUPS AND OUTCOME (DISCHARGED/EXPIRED) AT VARIOUS TIME POINTS: (A) PAO2/FIO2 RATIO (PFR), (B) TOTAL LEUKOCYTE COUNT (TLC), (C) NEUTROPHIL/LYMPHOCYTE RATIO (N/L RATIO OR NLR), (D) C-REACTIVE PROTEIN (CRP), (E) D-DIMER, AND (F) FERRITIN. Download full-size FIGURE 4: THE PROPOSED STUDY PROTOCOL. PaO2/FiO2: partial pressure of arterial oxygen to fraction of inspired oxygen; f/b: followed by; MPS: methylprednisolone; TLC: total leucocyte count; AST: aspartate aminotransferase; ALT: alanine aminotransferase; CRP: C-reactive protein; WHO-CPS: World Health Organization Clinical Progression Scale; NRBM: non-rebreather mask; HFNC: high-flow nasal cannula; NIV: noninvasive ventilation; IPPV: invasive positive pressure ventilation. Download full-size FIGURE 5: STATISTICAL ANALYSIS/INTERIM ANALYSIS PLAN. Download full-size FIGURE 6: TREND OF PAO2/FIO2 (P/F) RATIO WITH BIOMARKERS IN EACH GROUP (MEDIAN VALUES AND STANDARD ERRORS HAVE BEEN PLOTTED). Download full-size FIGURE 7: PANEL OF VIOLIN PLOTS SHOWING PROGRESSION OVER TIME OF CRP (A AND D), FERRITIN (B AND E), AND D-DIMER (C AND F): A, B, AND C FOR THE HIGH-DOSE DEXAMETHASONE (HDD) GROUP, AND D, E, AND F FOR THE TOCILIZUMAB (TCZ) GROUP. PAIRWISE COMPARISONS ARE WITH THE WILCOXON SIGNED-RANK TEST. CRP: C-reactive protein. Download full-size FIGURE 8: SCATTERGRAPH SHOWING CORRELATIONS BETWEEN PAO2/FIO2 RATIO, CRP, FERRITIN, AND D-DIMER IN ALL CASES AND BY GROUPS. HDD: high-dose dexamethasone; TCZ: tocilizumab; CRP: C-reactive protein; non-axial numbers (maroon): Spearman rank correlation coefficients; *: p-value < 0.05. Download full-size FIGURE 9: COMPETING RISKS REGRESSION CURVES FOR THE OUTCOME OF DISCHARGE. Download full-size FIGURE 10: COMPETING RISKS REGRESSION CURVES FOR THE OUTCOME OF DEATH. Download full-size High-dose dexamethasone arm (n = 21) Tocilizumab arm (n = 21) p-value Age, median (IQR), years 51 (45–58) 50 (44–65) 0.920a BMI, median (IQR), kg/m2 30.20 (26.4–35.6) 27.45 (25.90–30.61) 0.232a Sex, number (%) Male 12 (57.14%) 12 (57.14%) 1.000b Female 9 (42.86%) 9 (42.86%) Coexisting conditions, number (%) Diabetes mellitus 7 (33.33%) 8 (38.10%) 0.747b Hypertension 11 (52.38%) 13 (61.90%) 0.533b Chronic kidney disease 0 (0%) 0 (0%) - Coronary artery disease 0 (0%) 1 (4.76%) 1.000b Chronic liver disease 0 (0%) 0 (0%) - Chronic obstructive pulmonary disease 0 (0%) 2 (9.52%) 1.000b Asthma 0 (0%) 1 (4.76%) 1.000b Hypothyroid 2 (9.52%) 1 (4.76%) 1.000b Pregnancy 1 (4.76%) 2 (9.52%) 0.698b Days from symptom onset, median (IQR), days On admission 6 (6–7) 7 (6–7) 0.039a On the first dose of intervention (high-dose dexamethasone or tocilizumab) 7 (7–8) 8 (7–9) 0.011*a PaO2/FiO2, median (IQR), mmHg On admission 125.14 (110.29–138.67) 134.5 (117–181) 0.07a On the first dose of intervention (high-dose dexamethasone or tocilizumab) 81.07 (68.22–91.60) 80.93 (62.20–113) 0.920a Respiratory support at admission, number (%) Invasive mechanical ventilation 0 (0%) 0 (0%) 0.617b Noninvasive ventilation 2 (9.52%) 1 (4.76%) High-flow nasal cannula 1 (4.76%) 2 (9.52%) Non-rebreather mask 15 (71.43%) 12 (57.14%) Face mask/nasal prongs 3 (14.29%) 6 (28.57%) Respiratory support at intervention, number (%) Invasive mechanical ventilation 1 (4.76%) 1 (4.76%) 0.597b Noninvasive ventilation 8 (38.10%) 5 (23.81%) High-flow nasal cannula 12 (57.14%) 15 (71.43%) Non-rebreather mask 0 (0%) 0 (0%) Face mask/nasal prongs 0 (0%) 0 (0%) Hours in prone position during hospital stay, median (IQR) 96 (0–128) 48 (0–80) 0.063a Laboratory variables at admission, median (IQR) C-Reactive protein, median (IQR), mg/dL 54.2 (33.4–75.1) 75 (47–90) 0.218a White blood cell count, median (IQR), × 103/μL 8.4 (7.6–10.7) 8.1 (7.30–9.70) 0.413a Neutrophil/lymphocyte ratio 15.62 (12.21–20.75) 16.40 (10.33–21.40) 0.811a Platelet count, × 103/μL 246 (189–316.5) 221 (168–276 ) 0.083a Ferritin, ng/mL 702.5 (503.2–989) 522 (321.8–969) 0.252a D-Dimer, ng/mL 1568 (694–3455) 853 (512–2388) 0.204a Laboratory variables at intervention, median (IQR) C-Reactive protein, median (IQR), mg/dL 89.2 (72–135.70) 111 (74.30–151.40) 0.443a White blood cell count, median (IQR), × 103/μL 11.2 (9.3–13.20) 10.6 (9.1–11.70) 0.227a Neutrophil/lymphocyte ratio 17 (10.94–21.78) 13 (9.73–19.10) 0.489a Platelet count, median (IQR), × 103/μL 233 (196–347.5) 258 (172–357) 0.597a Ferritin, median (IQR), ng/mL 607 (428.45–1410) 631.9 (256.65–992.77) 0.170a D-Dimer, median (IQR), ng/mL 1118 (541.65–3513.1) 649 (389.38–1734.75) 0.930a TABLE 1: DEMOGRAPHY, CLINICAL CHARACTERISTICS, AND BIOMARKERS OF PATIENTS AT BASELINE AND INTERVENTION. *p-value < 0.05 was considered significant; a: Mann–Whitney U-test; b: Chi-squared/Fisher’s exact test. IQR: interquartile range; PaO2/FiO2: partial pressure of arterial oxygen to fraction of inspired oxygen. View larger High-dose dexamethasone arm (n = 21) Tocilizumab arm (n = 21) p-value Age, median (IQR), years 51 (45–58) 50 (44–65) 0.920a BMI, median (IQR), kg/m2 30.20 (26.4–35.6) 27.45 (25.90–30.61) 0.232a Sex, number (%) Male 12 (57.14%) 12 (57.14%) 1.000b Female 9 (42.86%) 9 (42.86%) Coexisting conditions, number (%) Diabetes mellitus 7 (33.33%) 8 (38.10%) 0.747b Hypertension 11 (52.38%) 13 (61.90%) 0.533b Chronic kidney disease 0 (0%) 0 (0%) - Coronary artery disease 0 (0%) 1 (4.76%) 1.000b Chronic liver disease 0 (0%) 0 (0%) - Chronic obstructive pulmonary disease 0 (0%) 2 (9.52%) 1.000b Asthma 0 (0%) 1 (4.76%) 1.000b Hypothyroid 2 (9.52%) 1 (4.76%) 1.000b Pregnancy 1 (4.76%) 2 (9.52%) 0.698b Days from symptom onset, median (IQR), days On admission 6 (6–7) 7 (6–7) 0.039a On the first dose of intervention (high-dose dexamethasone or tocilizumab) 7 (7–8) 8 (7–9) 0.011*a PaO2/FiO2, median (IQR), mmHg On admission 125.14 (110.29–138.67) 134.5 (117–181) 0.07a On the first dose of intervention (high-dose dexamethasone or tocilizumab) 81.07 (68.22–91.60) 80.93 (62.20–113) 0.920a Respiratory support at admission, number (%) Invasive mechanical ventilation 0 (0%) 0 (0%) 0.617b Noninvasive ventilation 2 (9.52%) 1 (4.76%) High-flow nasal cannula 1 (4.76%) 2 (9.52%) Non-rebreather mask 15 (71.43%) 12 (57.14%) Face mask/nasal prongs 3 (14.29%) 6 (28.57%) Respiratory support at intervention, number (%) Invasive mechanical ventilation 1 (4.76%) 1 (4.76%) 0.597b Noninvasive ventilation 8 (38.10%) 5 (23.81%) High-flow nasal cannula 12 (57.14%) 15 (71.43%) Non-rebreather mask 0 (0%) 0 (0%) Face mask/nasal prongs 0 (0%) 0 (0%) Hours in prone position during hospital stay, median (IQR) 96 (0–128) 48 (0–80) 0.063a Laboratory variables at admission, median (IQR) C-Reactive protein, median (IQR), mg/dL 54.2 (33.4–75.1) 75 (47–90) 0.218a White blood cell count, median (IQR), × 103/μL 8.4 (7.6–10.7) 8.1 (7.30–9.70) 0.413a Neutrophil/lymphocyte ratio 15.62 (12.21–20.75) 16.40 (10.33–21.40) 0.811a Platelet count, × 103/μL 246 (189–316.5) 221 (168–276 ) 0.083a Ferritin, ng/mL 702.5 (503.2–989) 522 (321.8–969) 0.252a D-Dimer, ng/mL 1568 (694–3455) 853 (512–2388) 0.204a Laboratory variables at intervention, median (IQR) C-Reactive protein, median (IQR), mg/dL 89.2 (72–135.70) 111 (74.30–151.40) 0.443a White blood cell count, median (IQR), × 103/μL 11.2 (9.3–13.20) 10.6 (9.1–11.70) 0.227a Neutrophil/lymphocyte ratio 17 (10.94–21.78) 13 (9.73–19.10) 0.489a Platelet count, median (IQR), × 103/μL 233 (196–347.5) 258 (172–357) 0.597a Ferritin, median (IQR), ng/mL 607 (428.45–1410) 631.9 (256.65–992.77) 0.170a D-Dimer, median (IQR), ng/mL 1118 (541.65–3513.1) 649 (389.38–1734.75) 0.930a Outcomes HDD arm (n = 21) TCZ arm (n = 21) p-value Primary outcome Ventilator-free days Mean ± SD (95% CI) 9.76 ± 12.94 (3.87–25.65) 22.86 ± 9.75 (18.42–27.30) Median (IQR) 0 (0–25) 28 (24–28) 0.001*a Secondary outcome 28-Day results All-cause mortality, number (%) 13 (61.90%) 2 (9.52%) <0.001*b Intubation rates posttreatment, number (%) 13 (61.90%) 2 (9.52%) <0.001*b ICU free, median (IQR), days 1 (1–5) 4 (3.5–5.5) 0.017*a MV duration, median (IQR), days 12 (2.5–15.5) 0 (0–3) <0.001*a Discharged from the hospital within 28 days, number (%) 8 (38.10%) 19 (90.48%) 0.030*b SOFA score, median, (IQR) On treatment day 5 (4–8) 5 (4–6) 0.353a 48 hours later 4 (4–8) 4 (4–5) 0.303a 7 days after intervention 5 (2–7) 2 (2–2) 0.002*a WHO-CPS score, median, (IQR) On treatment day 6 (6–6) 6 (6–6) 0.573a 7 days after intervention 6 (5–8) 5 (3–5) <0.001*a Mean time (days) to improvement in WHO-CPS score by 1 (i.e., a decrease by 1) 17.90 (underestimated) 6.48 (underestimated) 0.002*c Renal replacement therapy, number (%) 2 (9.52%) 0 (0%) 0.488b Vasopressor use, number (%) 13 (61.90%) 3 (14.29%) 0.001*b Time to RT-PCR negative status (days), median (IQR) 19 (17–19) 17 (16–17) 0.026*a Hospital stay, median (IQR), days 17 (13–17) 12 (11–12) 0.003*a TABLE 2: OUTCOMES. *p-value < 0.05 was considered significant; a: Mann–Whitney U-test; b: Chi-squared/Fisher's exact test; c: log-rank test from Kaplan–Meier survival estimates (see text and Appendices for further details). HDD: high-dose dexamethasone; TCZ: tocilizumab; CI: confidence interval; IQR: interquartile range; MV: mechanical ventilation; ICU: intensive care unit; SOFA: Sequential Organ Failure Assessment score; WHO-CPS: World Health Organization Clinical Progression Scale; RT-PCR: reverse-transcriptase polymerase chain reaction. View larger Outcomes HDD arm (n = 21) TCZ arm (n = 21) p-value Primary outcome Ventilator-free days Mean ± SD (95% CI) 9.76 ± 12.94 (3.87–25.65) 22.86 ± 9.75 (18.42–27.30) Median (IQR) 0 (0–25) 28 (24–28) 0.001*a Secondary outcome 28-Day results All-cause mortality, number (%) 13 (61.90%) 2 (9.52%) <0.001*b Intubation rates posttreatment, number (%) 13 (61.90%) 2 (9.52%) <0.001*b ICU free, median (IQR), days 1 (1–5) 4 (3.5–5.5) 0.017*a MV duration, median (IQR), days 12 (2.5–15.5) 0 (0–3) <0.001*a Discharged from the hospital within 28 days, number (%) 8 (38.10%) 19 (90.48%) 0.030*b SOFA score, median, (IQR) On treatment day 5 (4–8) 5 (4–6) 0.353a 48 hours later 4 (4–8) 4 (4–5) 0.303a 7 days after intervention 5 (2–7) 2 (2–2) 0.002*a WHO-CPS score, median, (IQR) On treatment day 6 (6–6) 6 (6–6) 0.573a 7 days after intervention 6 (5–8) 5 (3–5) <0.001*a Mean time (days) to improvement in WHO-CPS score by 1 (i.e., a decrease by 1) 17.90 (underestimated) 6.48 (underestimated) 0.002*c Renal replacement therapy, number (%) 2 (9.52%) 0 (0%) 0.488b Vasopressor use, number (%) 13 (61.90%) 3 (14.29%) 0.001*b Time to RT-PCR negative status (days), median (IQR) 19 (17–19) 17 (16–17) 0.026*a Hospital stay, median (IQR), days 17 (13–17) 12 (11–12) 0.003*a Adverse events, number of patients (%) Number of events Event rate ratio HDD/TCZ p-value (exact rate ratio test) Total (n = 42) HDD (n = 21) TCZ (n = 21) HDD (number in 306 patient days) TCZ (number in 220 patient days) Deaths 15 (36.06%) 13 (61.9%) 2 (9.52%) 13 2 4.67 (1.06–42.65) 0.023* Infections 13 (30.95%) 11 (52.38%) 2 (9.52%) 25 2 8.9 (2.24–78.28) <0.001* Grade 3 or worse adverse events by CTCAE version 5, MedDRA system organ class preferred terms Cardiac disorders Supraventricular tachycardia 1 (2.38%) 0 (0%) 1 (4.76%) 0 1 0 (0–28.04) 0.41 Sinus bradycardia 1 (2.38%) 0 (0%) 1 (4.76%) 0 1 0 (0–28.04) 0.41 Cardiac arrest 15 (36.06%) 13 (61.9%) 2 (9.52%) 13 2 4.67 (1.06–42.65) 0.023* Infections or infestations Fungemia 8 (19.04%) 8 (38.09%) 0 (0%) 8 0 Zero denominator 0.013* Catheter-related infection 7(16%) 6 (28.27%) 1 (4.76%) 6 1 4.31 (0.52–198.42) 0.158 Lung infection 11 (26.19%) 10 (47.61%) 1 (4.76%) 11 1 7.91 (1.15–340.41) 0.016* Respiratory, thoracic, and mediastinal disorders Grade 4 adult respiratory distress syndrome 15 (36.06%) 13 (61.9%) 3 (14.28%) 13 3 3.12 (0.85–17.04) 0.065 Vascular disorders Shock 16 (38.09%) 13 (61.90%) 3 (14.29%) 13 3 3.12 (0.85–17.04) 0.065 Metabolism and nutrition disorders Hyperglycemiaᴪ 30 (71.43%) 21 (100%) 9 (42.86%) 106 49 1.56 (1.09–2.23) 0.009* Gastrointestinal disorders Gastric hemorrhage 4 (9.52%) 4 (19.04%) 0 (0%) 18 0 Zero denominator <0.001* Total number of events‡ 188 61 2.22 (1.65–3.01) <0.001* TABLE 3: ADVERSE EVENTS. All cardiac arrests were grade 5. ‡Excludes deaths and infections to avoid duplication. ᴪBlood sugar > 180 mg/dL. *p-value < 0.05 was considered significant. HDD: high-dose dexamethasone; TCZ: tocilizumab; CTCAE: Common Terminology Criteria for Adverse Events. View larger Adverse events, number of patients (%) Number of events Event rate ratio HDD/TCZ p-value (exact rate ratio test) Total (n = 42) HDD (n = 21) TCZ (n = 21) HDD (number in 306 patient days) TCZ (number in 220 patient days) Deaths 15 (36.06%) 13 (61.9%) 2 (9.52%) 13 2 4.67 (1.06–42.65) 0.023* Infections 13 (30.95%) 11 (52.38%) 2 (9.52%) 25 2 8.9 (2.24–78.28) <0.001* Grade 3 or worse adverse events by CTCAE version 5, MedDRA system organ class preferred terms Cardiac disorders Supraventricular tachycardia 1 (2.38%) 0 (0%) 1 (4.76%) 0 1 0 (0–28.04) 0.41 Sinus bradycardia 1 (2.38%) 0 (0%) 1 (4.76%) 0 1 0 (0–28.04) 0.41 Cardiac arrest 15 (36.06%) 13 (61.9%) 2 (9.52%) 13 2 4.67 (1.06–42.65) 0.023* Infections or infestations Fungemia 8 (19.04%) 8 (38.09%) 0 (0%) 8 0 Zero denominator 0.013* Catheter-related infection 7(16%) 6 (28.27%) 1 (4.76%) 6 1 4.31 (0.52–198.42) 0.158 Lung infection 11 (26.19%) 10 (47.61%) 1 (4.76%) 11 1 7.91 (1.15–340.41) 0.016* Respiratory, thoracic, and mediastinal disorders Grade 4 adult respiratory distress syndrome 15 (36.06%) 13 (61.9%) 3 (14.28%) 13 3 3.12 (0.85–17.04) 0.065 Vascular disorders Shock 16 (38.09%) 13 (61.90%) 3 (14.29%) 13 3 3.12 (0.85–17.04) 0.065 Metabolism and nutrition disorders Hyperglycemiaᴪ 30 (71.43%) 21 (100%) 9 (42.86%) 106 49 1.56 (1.09–2.23) 0.009* Gastrointestinal disorders Gastric hemorrhage 4 (9.52%) 4 (19.04%) 0 (0%) 18 0 Zero denominator <0.001* Total number of events‡ 188 61 2.22 (1.65–3.01) <0.001* Outcomes High-dose dexamethasone (n = 21) Tocilizumab (n = 21) p-value** CRP (mg/dL), median difference between time points (95% CI) Baseline to treatment day 35 (-10.88 to 80.88) 36 (-5.03 to 77.03) 0.93 Treatment day to 24 hours -16.4 (-61.11 to 28.31) -53.5 (-96.21 to -10.71) 0.116 Treatment day to 48 hours -32.9 (-75.83 to 10.03) -73.5 (-111.16 to -35.84) 0.038* Treatment day to day 3 - 48.49 (-93.62 to -3.36) -95.33 (-126.86 to -63.79) 0.014* Treatment day to day 4 - 51.51 (-104.05 to 1.04) -102.88 (-131.55 to -74.20) 0.004* Treatment day to day 7 -51 (-111.99 to 9.99) -108.54 (-136.85 to - 80.22) 0.001* Treatment day to day 10 - 54.42 (-108.03 to -0.80) -109.91 (-145.52 to -74.30) 0.002* Treatment day to outcome day - 57.1 (-111.02 to -3.18) -110.36 (-137.23 to -83.48) 0.008* Ferritin (ng/mL), median difference between time points (95% CI) Baseline to treatment day -53.8 (-539.43 to 431.84) 151 (-276.89 to 578.89) 0.428 Treatment day to 24 hours -62 (-575.75 to 451.75) -72.1 (-543.9 to 399.7) 0.327 Treatment day to 48 hours -59.7 (-539.28 to 419.88) -159 (-545.61 to 227.611) 0.333 Treatment day to day 3 - 141.7 (-651.60 to 368.20) -179 (-547.59 to 189.59) 0.428 Treatment day to day 4 - 166.7 (-671.02 to 337.62) -114 (-1394.34 to 1166.34) 0.428 Treatment day to day 7 -150 (-693.09 to 393.09) -333 (-705.78 to 39.78) 0.274 Treatment day to day 10 - 111.7 (-638.47 to 415.07) -361 (-778.4 to 56.4) 0.122 Treatment day to outcome day - 269.4 (-936.06 to 397.27) -461 (-790.71 to -131.29) 0.333 D-Dimer (ng/mL), median difference between time points (95% CI) Baseline to treatment day -514.8 (-2205.57 to 1175.97) 47 (-2053.98 to 2147.98) 0.064 Treatment day to 24 hours -474.06 (-2062.58 to 1114.46) 772 (-809.9 to 2353.9) 0.011* Treatment day to 48 hours 75.8 (-1513.10 to 1664.70) 771 (-901.35 to -2443.35) 0.554 Treatment day to day 3 71.8 (-1180.89 to 1324.49) 152 (-1278.13 to 1582.13) 0.155 Treatment day to day 4 214.58 (-1398.48 to 1827.64) -114 (-1394.34 to 1166.34) 0.285 Treatment day to day 7 -68.2 (-1182.07 to 1045.67) -357 (-1559.94 to 845.94) 0.148 Treatment day to day 10 - 307.7 (-1585.92 to 970.52) -440 (-1979.02 to 1099.02) 0.094 Treatment day to outcome day - 288.2 (-1639.72 to 1063.32) -675 (-1838.18 to 488.18) 0.213 TABLE 4: COURSE OF BIOMARKERS IN OUR STUDY POPULATION. *p < 0.05 was considered significant; **Mann–Whitney U-test for comparing change from baseline to treatment day and from treatment day to indicated time point between treatment groups (the negative sign indicates a decrease from each earlier mentioned time point). Median differences and 95% CIs have been derived from quantile regression. CRP: C-reactive protein. View larger Outcomes High-dose dexamethasone (n = 21) Tocilizumab (n = 21) p-value** CRP (mg/dL), median difference between time points (95% CI) Baseline to treatment day 35 (-10.88 to 80.88) 36 (-5.03 to 77.03) 0.93 Treatment day to 24 hours -16.4 (-61.11 to 28.31) -53.5 (-96.21 to -10.71) 0.116 Treatment day to 48 hours -32.9 (-75.83 to 10.03) -73.5 (-111.16 to -35.84) 0.038* Treatment day to day 3 - 48.49 (-93.62 to -3.36) -95.33 (-126.86 to -63.79) 0.014* Treatment day to day 4 - 51.51 (-104.05 to 1.04) -102.88 (-131.55 to -74.20) 0.004* Treatment day to day 7 -51 (-111.99 to 9.99) -108.54 (-136.85 to - 80.22) 0.001* Treatment day to day 10 - 54.42 (-108.03 to -0.80) -109.91 (-145.52 to -74.30) 0.002* Treatment day to outcome day - 57.1 (-111.02 to -3.18) -110.36 (-137.23 to -83.48) 0.008* Ferritin (ng/mL), median difference between time points (95% CI) Baseline to treatment day -53.8 (-539.43 to 431.84) 151 (-276.89 to 578.89) 0.428 Treatment day to 24 hours -62 (-575.75 to 451.75) -72.1 (-543.9 to 399.7) 0.327 Treatment day to 48 hours -59.7 (-539.28 to 419.88) -159 (-545.61 to 227.611) 0.333 Treatment day to day 3 - 141.7 (-651.60 to 368.20) -179 (-547.59 to 189.59) 0.428 Treatment day to day 4 - 166.7 (-671.02 to 337.62) -114 (-1394.34 to 1166.34) 0.428 Treatment day to day 7 -150 (-693.09 to 393.09) -333 (-705.78 to 39.78) 0.274 Treatment day to day 10 - 111.7 (-638.47 to 415.07) -361 (-778.4 to 56.4) 0.122 Treatment day to outcome day - 269.4 (-936.06 to 397.27) -461 (-790.71 to -131.29) 0.333 D-Dimer (ng/mL), median difference between time points (95% CI) Baseline to treatment day -514.8 (-2205.57 to 1175.97) 47 (-2053.98 to 2147.98) 0.064 Treatment day to 24 hours -474.06 (-2062.58 to 1114.46) 772 (-809.9 to 2353.9) 0.011* Treatment day to 48 hours 75.8 (-1513.10 to 1664.70) 771 (-901.35 to -2443.35) 0.554 Treatment day to day 3 71.8 (-1180.89 to 1324.49) 152 (-1278.13 to 1582.13) 0.155 Treatment day to day 4 214.58 (-1398.48 to 1827.64) -114 (-1394.34 to 1166.34) 0.285 Treatment day to day 7 -68.2 (-1182.07 to 1045.67) -357 (-1559.94 to 845.94) 0.148 Treatment day to day 10 - 307.7 (-1585.92 to 970.52) -440 (-1979.02 to 1099.02) 0.094 Treatment day to outcome day - 288.2 (-1639.72 to 1063.32) -675 (-1838.18 to 488.18) 0.213 Dependent variable Time variable Measured result Values 95% CI Statistical test Extended mean Discharge Days posttreatment Mean time HDD 17.80 (underestimated) 15.19–20.41 Log rank p value < 0.0001 24.33 Mean time TCZ 10.85 9.72–11.93 10.85 Median time HDD 20 13–infinity Median time TCZ 10 9–13 Expiry Days posttreatment Mean time HDD 16.87 15.10–18.63 Log rank p value = 0.839 16.87 Mean time TCZ 15.05 (underestimated) 13.83–16.26 69.99 Median time HDD 17 15–19 Median time TCZ Not computed 13–infinity RT-PCR negative status Days posttreatment censored at 28 days if expired Median time HDD 12 11–14 Log-rank p-value = 0.0059 Median time TCZ 10 9–10 WPS improvement by a score of 1 Days posttreatment censored at 28 days if expired Mean time HDD 17.90 (underestimated) 12.80–23 Log-rank p-value = 0.0024 46.50 Mean time TCZ 6.48 (underestimated) 3.40–9.55 7.61 Median time HDD Not computed 3–infinity Median time TCZ 4 3–6 TABLE 5: SURVIVAL ANALYSIS OUTCOMES (KAPLAN–MEIER ESTIMATES). p < 0.05 was considered significant; N.B., where median survival time could not be computed in any one group, the restricted means and extended means have been provided for careful interpretation, if necessary. HDD: high-dose dexamethasone; RT-PCR: real-time polymerase chain reaction; TCZ: tocilizumab; WPS: WHO Clinical Progression Scale. View larger Dependent variable Time variable Measured result Values 95% CI Statistical test Extended mean Discharge Days posttreatment Mean time HDD 17.80 (underestimated) 15.19–20.41 Log rank p value < 0.0001 24.33 Mean time TCZ 10.85 9.72–11.93 10.85 Median time HDD 20 13–infinity Median time TCZ 10 9–13 Expiry Days posttreatment Mean time HDD 16.87 15.10–18.63 Log rank p value = 0.839 16.87 Mean time TCZ 15.05 (underestimated) 13.83–16.26 69.99 Median time HDD 17 15–19 Median time TCZ Not computed 13–infinity RT-PCR negative status Days posttreatment censored at 28 days if expired Median time HDD 12 11–14 Log-rank p-value = 0.0059 Median time TCZ 10 9–10 WPS improvement by a score of 1 Days posttreatment censored at 28 days if expired Mean time HDD 17.90 (underestimated) 12.80–23 Log-rank p-value = 0.0024 46.50 Mean time TCZ 6.48 (underestimated) 3.40–9.55 7.61 Median time HDD Not computed 3–infinity Median time TCZ 4 3–6 Dependent variable Time variable Measured result Values 95% CI p-value LR Chi-squared compared to null Prob>Chi-squared compared to null phtest Schonfeld residuals prob>Chi-squared (p-value) Discharge Days posttreatment HR TCZ 5.153 2.090–12.702 0.001 14.93 <0.001 0.5614 Adjusted# HR TCZ 5.106 1.628–16.009 0.005 18.38 0.053 0.5185 Expired Days posttreatment HR TCZ 0.843 0.159–4.471 0.841 0.04 0.839 0.5501 Adjusted# HR TCZ 0.315 0.034–2.899 0.308 9.57 0.144 0.678 WPS improvement by a score of 1 Days posttreatment censored at 28 days if expired HR TCZ 3.18 1.39–7.27 0.006 14.64 0.0001 0.5038 Adjusted# HR TCZ 3.69 1.34–10.15 0.024 18.71 0.032 0.5203 TABLE 6: COX PROPORTIONAL HAZARDS MODEL ESTIMATES. p < 0.05 was considered significant; #adjusting for the variables PaO2/FiO2 ratio at baseline, days from symptom onset at intervention, C-reactive protein (CRP), total leukocyte count (TLC), and neutrophil/lymphocyte (N/L) ratio at intervention. HR: hazard ratio; TCZ: tocilizumab; WPS: WHO Clinical Progression Scale. View larger Dependent variable Time variable Measured result Values 95% CI p-value LR Chi-squared compared to null Prob>Chi-squared compared to null phtest Schonfeld residuals prob>Chi-squared (p-value) Discharge Days posttreatment HR TCZ 5.153 2.090–12.702 0.001 14.93 <0.001 0.5614 Adjusted# HR TCZ 5.106 1.628–16.009 0.005 18.38 0.053 0.5185 Expired Days posttreatment HR TCZ 0.843 0.159–4.471 0.841 0.04 0.839 0.5501 Adjusted# HR TCZ 0.315 0.034–2.899 0.308 9.57 0.144 0.678 WPS improvement by a score of 1 Days posttreatment censored at 28 days if expired HR TCZ 3.18 1.39–7.27 0.006 14.64 0.0001 0.5038 Adjusted# HR TCZ 3.69 1.34–10.15 0.024 18.71 0.032 0.5203 Dependent variable Competing interest Time variable Measured result Values 95% CI p-value Wald Chi-squared compared to null Prob>Chi-squared compared to null Discharge Expiry Days posttreatment Sub-HR TCZ 4.269 1.906–9.565 <0.001 12.44 0.0004 Adjusted# sub-HR TCZ 5.856 1.488–23.037 0.011 26.49 0.0002 Expiry Discharge Days posttreatment Sub-HR TCZ 0.119 0.024–0.584 0.009 6.89 0.0087 Adjusted# sub-HR TCZ 0.085 0.016–0.435 0.003 21.83 0.0013 TABLE 7: COMPETING RISKS REGRESSION. p < 0.05 was considered significant. HR: hazard ratio; TCZ: tocilizumab. View larger Dependent variable Competing interest Time variable Measured result Values 95% CI p-value Wald Chi-squared compared to null Prob>Chi-squared compared to null Discharge Expiry Days posttreatment Sub-HR TCZ 4.269 1.906–9.565 <0.001 12.44 0.0004 Adjusted# sub-HR TCZ 5.856 1.488–23.037 0.011 26.49 0.0002 Expiry Discharge Days posttreatment Sub-HR TCZ 0.119 0.024–0.584 0.009 6.89 0.0087 Adjusted# sub-HR TCZ 0.085 0.016–0.435 0.003 21.83 0.0013 - HOW LIKELY ARE YOU TO RECOMMEND THIS ARTICLE TO A PEER? -------------------------------------------------------------------------------- 6.6 RATED BY 5 READERS CONTRIBUTE RATING Scholarly Impact Quotient™ (SIQ™) is our unique post-publication peer review rating process. Learn more here. COMMENTS Please sign in or sign up to comment. ADVERTISEMENT -------------------------------------------------------------------------------- RELATED ARTICLES Frontal Fibrosing Alopecia Mimicking Alopecia Syphilitica Pharmacovigilance of Antitubercular Therapy in Tuberculosis A Rare and Urgent Consequence After a Snake Bite Interstitial Lung Disease and Transverse Myelitis: A Possible Complication o ... Double Whammy: Subacute Stent Thrombosis While Being Adherent to Dual Antipl ... Co-prescription of Dual-Antiplatelet Therapy and Proton Pump Inhibitors: Cur ... YOU’RE ABOUT TO LEAVE THE CUREUS WEBSITE! This link will take you to a third party website that is not affiliated with Cureus, Inc. Please note that Cureus is not responsible for any content or activities contained within our partner or affiliate websites. Proceed Cancel and return to Cureus WHAT'S SIQ™? Scholarly Impact Quotient™ (SIQ™) is our unique post-publication peer review rating process. SIQ™ assesses article importance and quality by embracing the collective intelligence of the Cureus community-at-large. All registered users are invited to contribute to the SIQ™ of any published article. (Authors cannot rate their own articles.) High ratings should be reserved for work that is truly groundbreaking in its respective field. Anything above 5 should be considered above average. While all registered Cureus users can rate any published article, the opinion of domain experts is weighted appreciably more than that of non-specialists. An article’s SIQ™ will appear alongside the article after being rated twice and is recalculated with each additional rating. Visit our SIQ™ page to find out more. Close SCHOLARLY IMPACT QUOTIENT™ (SIQ™) Scholarly Impact Quotient™ (SIQ™) is our unique post-publication peer review rating process. SIQ™ assesses article importance and quality by embracing the collective intelligence of the Cureus community-at-large. All registered users are invited to contribute to the SIQ™ of any published article. (Authors cannot rate their own articles.) Already have an account? Sign in. Cancel Join Now ENTER YOUR EMAIL ADDRESS TO RECEIVE YOUR FREE PDF DOWNLOAD. Please note that by doing so you agree to be added to our monthly email newsletter distribution list. New here? Sign up. SIGN IN TO CUREUS sign in using LinkedIn sign in using Google sign in using Facebook -------------------------------------------------------------------------------- or Sign in with your email address: Email Password Don't have an account? Sign Up Forgot your password? Resend confirmation instructions SIGN UP FOR CUREUS sign up using LinkedIn sign up using Google sign up using Facebook -------------------------------------------------------------------------------- or First name Last name Email Password Specialty Please choose I'm not a medical professional. Allergy and Immunology Anatomy Anesthesiology Cardiac/Thoracic/Vascular Surgery Cardiology Dentistry Dermatology Emergency Medicine Epidemiology and Public Health Family Medicine Forensic Medicine General Practice Genetics Health Policy I'm not a medical professional. Integrative/Complementary Medicine Internal Medicine Internal Medicine-Pediatrics Internal Medicine: Critical Care Internal Medicine: Diabetes and Endocrinology Internal Medicine: Gastroenterology Internal Medicine: Geriatrics Internal Medicine: Hematology Internal Medicine: HIV/AIDS Internal Medicine: Hospital-based Medicine Internal Medicine: Infectious Disease Internal Medicine: Nephrology Internal Medicine: Pulmonology Internal Medicine: Rheumatology Medical Education and Simulation Medical Physics Medical Student Neurological Surgery Neurology Nuclear Medicine Nutrition Obstetrics and Gynecology Occupational Health Oncology Ophthalmology Oral Medicine Orthopaedics Osteopathic Medicine Otolaryngology Pain Management Palliative Care Pathology Pediatrics Pediatric Surgery Physical Medicine and Rehabilitation Plastic Surgery Podiatry Preventive Medicine Psychiatry Psychology Radiation Oncology Radiology Substance Use and Addiction Surgery Therapeutics Trauma Urology Miscellaneous EMAIL COMMUNICATION AND PERSONAL DATA Cureus personal data will never be sold to third parties and will only be used to enrich the user experience and contact you in direct relation to the application. I agree to opt in to this communication. By joining Cureus, you agree to our Privacy Policy and Terms of Use.