Literature DB >> 33117850

Remdesivir Use Compared With Supportive Care in Hospitalized Patients With Severe COVID-19: A Single-Center Experience.

Markos Kalligeros1, Karen T Tashima1, Evangelia K Mylona1, Natasha Rybak1, Timothy P Flanigan1, Dimitrios Farmakiotis1, Curt G Beckwith1, Martha Sanchez1, Marguerite Neill1, Jennie E Johnson1, Joseph M Garland1, Su Aung1, Katrina M Byrd1, Thomas O'Brien1, Aakriti Pandita1, Jad Aridi1, Raul Macias Gil1, Jerome Larkin1, Fadi Shehadeh1, Eleftherios Mylonakis1.   

Abstract

BACKGROUND: The US Food and Drug Administration issued an Emergency Use Authorization for remdesivir use in patients with severe COVID-19.
METHODS: We utilized data from 2 quaternary acute care hospitals. The outcomes of interest were the impact of remdesivir on in-hospital death by day 28 and time to recovery, clinical improvement, and discharge. We utilized Cox proportional hazards models and stratified log-rank tests.
RESULTS: Two hundred twenty-four patients were included in the study. The median age was 59 years; 67.0% were male; 17/125 patients (13.6%) who received supportive care and 7/99 patients (7.1%) who received remdesivir died. The unadjusted risk for 28-day in-hospital death was lower for patients who received remdesivir compared with patients who received supportive care (hazard ratio [HR], 0.42; 95% CI, 0.16-1.08). Although this trend remained the same after adjusting for age, sex, race, and oxygen requirements on admission (adjusted HR [aHR], 0.49; 95% CI, 0.19-1.28), as well as chronic comorbidities and use of corticosteroids (aHR, 0.44; 95% CI, 0.16-1.23), it did not reach statistical significance. The use of remdesivir was not associated with an increased risk of acute kidney injury (AKI) or liver test abnormalities. Although not statistically significant, the rate ratios for time to recovery, clinical improvement, and discharge were higher in women and black or African American patients.
CONCLUSIONS: Patients on remdesivir had lower, albeit not significant, all-cause in-hospital mortality, and the use of remdesivir did not increase the risk for AKI. Promising signals from this study need to be confirmed by future placebo-controlled randomized clinical trials.
© The Author(s) 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; efficacy; remdesivir; safety

Year:  2020        PMID: 33117850      PMCID: PMC7454852          DOI: 10.1093/ofid/ofaa319

Source DB:  PubMed          Journal:  Open Forum Infect Dis        ISSN: 2328-8957            Impact factor:   3.835


The development of safe and effective therapeutic agents against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a top priority in the battle against the COVID-19 pandemic. Remdesivir, also known as GS-5734, is an intracellularly metabolized nucleotide prodrug that inhibits viral RNA polymerases and has a broad spectrum of antiviral activity, which includes corona- and flaviviruses [1]. Animal studies have shown remdesivir to be efficacious against SARS-CoV-1 and Middle East respiratory syndrome (MERS)–CoV [2, 3]. During the early days of the COVID-19 pandemic, it was among the first drugs to show in vitro activity against SARS-CoV-2 [4]. Despite high expectations for remdesivir in treating COVID-19 [5, 6], the results from the first randomized placebo-controlled trial from China were inconclusive [7]. However, the results of a larger-scale multicenter trial conducted by the National Institute of Allergy and Infectious Diseases showed a significant clinical benefit in terms of time to recovery [8]. Subsequently, the US Food and Drug Administration (FDA) issued an Emergency Use Authorization for remdesivir use in patients with severe COVID-19 [9]. In March 2020, our institution became part of a multicenter open-label, phase 3 clinical trial that studied the use of remdesivir in patients with severe COVID-19. For this study, we analyzed data from patients who participated in the aforementioned trial and compared them with patients with severe COVID-19 who received supportive care at our institution to investigate the efficacy and safety of remdesivir in patients with severe COVID-19.

METHODS

Study Setting and Design

We utilized data from 2 quaternary, acute care hospitals, Rhode Island Hospital (RIH) and The Miriam Hospital (TMH), located in Providence, Rhode Island, which function as a single academic medical center. All consecutive hospitalized patients from February 27 to May 11, 2020, who had a positive polymerase chain reaction (PCR) nasopharyngeal or oropharyngeal SARS-CoV-2 swab were screened for potential study inclusion. The institutional review board of RIH and TMH approved this observational study.

Remdesivir Study Arm

Starting on March 20, both RIH and TMH became part of a phase 3, multicenter, open-label clinical trial (NCT04292899) [10]. All patients hospitalized with PCR-confirmed COVID-19 were evaluated by Infectious Diseases specialists in both hospitals for potential trial inclusion. To be considered eligible for trial inclusion, patients had to meet the following criteria: (1) currently hospitalized, aged ≥18 years, (2) SARS-CoV-2 infection confirmed by PCR test ≤4 days before trial enrollment, (3) SpO2 ≤94% on room air or requiring supplemental oxygen at screening, (4) presence of radiographic evidence of pulmonary infiltrates. In addition, patients who met any of the following clinical exclusion criteria were not considered eligible: (1) ALT or AST >5 times of the upper normal limit (UNL), (2) creatinine clearance <50 mL/min using the Cockcroft-Gault equation, (3) pregnant or breastfeeding. Trial participants received remdesivir intravenously (IV) as a 200-mg loading dose on day 1, followed by a daily 100-mg maintenance dose on days 2–10 or until hospital discharge, death, or meeting criteria for study drug hold or discontinuation (serious adverse event related to remdesivir [RDV], ALT >5×UNL, ALT >3×UNL and total bilirubin >2×UNL, creatinine clearance <30 mL/min). Patients who were discharged before day 28 were followed up with a postdischarge follow-up phone call on day 28. The trial protocol was approved by a centralized institutional review board and was monitored by an independent data and safety monitoring board. Each patient provided informed consent. If the patient was unable to provide consent, the patient’s legally authorized representative provided surrogate consent.

Supportive Care Study Arm Patient Selection

In the above-mentioned phase 3 open-labeled trial, all trial participants received remdesivir, and there was no placebo-controlled study arm. For the purposes of the present study, we created a control group consisting of hospitalized patients with PCR-confirmed COVID-19 who did not receive remdesivir. In order to identify controls, we screened all patients who were admitted to either RIH or TMH from February 27 to May 11, 2020, and did not receive remdesivir. After identifying those patients and in an effort to minimize selection bias, we used the following inclusion and exclusion criteria: (1) hospitalized for at least 48 hours, (2) SARS-CoV-2 infection confirmed by PCR, (3) SpO2 ≤94% on room air or requiring supplemental oxygen within the first 48 hours of admission, (4) presence of radiographic evidence of pulmonary infiltrates. In addition, patients who met any of the following clinical exclusion criteria were not considered eligible: (1) ALT or AST >5 times of the upper normal limit (UNL) and (2) creatinine clearance (CrCl) <50 mL/min using the Cockcroft-Gault equation.

Additional Exclusion Criteria

Patients from the remdesivir arm could have been enrolled in the remdesivir trial during any day of their hospital stay, as long as they met the predefined inclusion criteria. For the purposes of this study, this could have been a potential source of immortal time bias [11] because those patients should have been alive at least until the day of remdesivir trial enrollment. As a result, after defining the date of hospital admission as day 1 for both study arms, we included only patients who received remdesivir within the first 48 hours of their admission, while we excluded all patients who died within the first 48 hours from both study arms.

Data Collection

We obtained data through our institution’s electronic medical records (EMRs). For each patient, we extracted the following information: age, sex, race, ethnicity, days from onset of symptoms, imaging results, weight, vital signs and laboratory values (both on admission and during hospitalization), preexisting medical conditions, admission to the intensive care unit (ICU), use of mechanical ventilation, use of systemic corticosteroids [12], hospitalization outcome (death or discharge), and incidence of acute kidney injury (AKI) using the KDIGO criteria [13]. The first available vital signs and laboratory values within 48 hours of admission were used to assess inclusion eligibility for patients in the supportive care arm. For patients in the supportive care arm, we also calculated CrCl on admission using the Cockcroft-Gault equation. Finally, all hospitalized patients with PCR-confirmed COVID-19 were evaluated by ID specialists for potential inclusion in the remdesivir trial, and this evaluation was documented in the EMR. For patients in the supportive care arm, we additionally extracted the initial ID evaluation and, if present, the reason/s for not enrolling in the remdesivir trial.

Outcomes of Interest

The primary outcome of interest was the impact of remdesivir on all-cause in-hospital death by day 28. As secondary outcomes, we assessed the impact of remdesivir on time to clinical recovery, time to clinical improvement, and time to discharge. All outcomes were censored at day 28 for patients hospitalized >28 days. Recovery was achieved when a patient satisfied categories 1 or 2 on the following 6-point ordinal scale: 1 = not hospitalized; 2 = hospitalized without requiring further supplemental oxygen; 3 = hospitalized requiring supplemental oxygen; 4 = hospitalized requiring noninvasive positive pressure ventilation (NIPPV) or high-flow oxygen devices (HFODs); 5 = hospitalized requiring invasive mechanical ventilation or extracorporeal membrane oxygenation (ECMO); 6 = death. Similarly, clinical improvement was achieved when a patient had a 2-point improvement on the aforementioned 6-point ordinal scale. Finally, using the KDIGO criteria, we assessed the incidence of AKI in patients receiving remdesivir compared with patients receiving supportive care. KDIGO defines AKI as any of the following: increase in serum creatinine by ≥0.3 mg/dL within 48 hours or increase in serum creatinine to ≥1.5 times baseline within the last 7 days or urine output <0.5 mL/kg/h for 6 hours [13].

Statistical Analysis

For patients’ baseline characteristics, we represented continuous measurements as means (SDs) or medians (IQRs), and we compared them using the Student t test and the Mann-Whitney-Wilcoxon test, respectively. For categorical data, we used Pearson’s chi-square test. For the primary study outcome, that is, the impact of remdesivir use on in-hospital death, we utilized both univariate and multivariate Cox proportional hazards models. In the multivariate model, we accounted for potential confounders associated with COVID-19 mortality such as age, sex, race, chronic comorbidities (heart disease, diabetes, hypertension, chronic pulmonary disease, obesity), use of systemic corticosteroids, and patients’ oxygen requirements on admission. Similar models were implemented to assess the risk of developing AKI during the 28-day follow-up period. For all models, we assessed the proportional hazards assumption using weighted Schoenfeld residuals. To evaluate the secondary outcomes of time to clinical recovery, time to clinical improvement, and time to discharge (measured from the time of admission), we utilized a stratified log-rank test and calculated the Mantel-Cox rate ratios. We stratified based on oxygen requirements on admission (ie, room air with spO2 <94%, low-flow oxygen, NIPPV or HFOD, mechanical ventilation), age group (18–49, 50–64, ≥65 years), race, sex, and date of symptom onset (<7 days, ≥7 days). If a patient died before day 28, they were right-censored at day 28. Outcomes of patients who were discharged to a hospice before day 28 were censored at day of discharge. For our analyses, 95% confidence intervals and P values are shown. The statistical significance threshold was set at .05. All analyses were performed using Stata, version 16.1 (Stata Corporation, College Station, TX, USA).

RESULTS

From February 27 to May 1, we identified 711 consecutive patients hospitalized with PCR-confirmed COVID-19. Among those patients, 554 received supportive care and 158 received remdesivir. Among patients who received supportive care, 125 met the inclusion criteria of our study and comprised the control group. More specifically, 227 patients were excluded due to CrCl <50 L/min or because CrCl could not be calculated due to missing weight measurement, 164 patients did not meet severity inclusion criteria, 11 were excluded due to ALT or AST >5 times the UNL, 17 patients were excluded due to normal chest imaging findings, and 10 patients were excluded due to death within the first 48 hours after admission. Among the 158 patients who received RDV, we excluded 12 patients who received remdesivir for the purposes of other clinical trials (a moderate severity trial or compassionate use) and 47 patients who received RDV after the first 48 hours (Supplementary Table 1). In Figure 1, we present the detailed patient selection flowchart. As of June 7, 2020, all patients had completed the 28-day observational period, were discharged, or died. Of note, none of the patients included in this analysis met the criteria for remdesivir discontinuation.
Figure 1.

Patient selection flowchart. Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; CrCl, creatinine clearance; RDV, remdesivir; RT-PCR, reverse transcription polymerase chain reaction.

Patient selection flowchart. Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; CrCl, creatinine clearance; RDV, remdesivir; RT-PCR, reverse transcription polymerase chain reaction.

Baseline Characteristics

In total, 224 patients were included in the study, and their baseline characteristics are depicted in Table 1. The median age (interquartile range [IQR]) was 59 (49–67) years, and 67.0% were male. Moreover, 82 (36.6%) were Non-Hispanic white, 98 (43.8%) were Hispanic, 30 (13.4%) were black or African American, and 2 (0.9%) were Asians. No differences in terms of age, race, and sex distribution were noted among the 2 study arms. In terms of preexisting chronic conditions, patients on the supportive care arm had higher prevalence of chronic heart disease (28.0%), compared with patients who received remdesivir (14.1%,). The median time from symptom onset assessed at the time of admission (IQR) was 6 (3–8) days, while there were no significant differences in terms of oxygen requirements at the time of admission between the 2 study arms.
Table 1.

Baseline Patients Characteristics on Admission

TotalSupportive CareRemdesivir
n = 224n = 125n = 99 P Value
Age59.00 (50.00–68.00)60.00 (50.00–68.00)58.00 (50.00–68.00).52
Gender.44
 Female74 (33.0)44 (35.2)30 (30.3)
 Male150 (67.0)81 (64.8)69 (69.7)
Race.65
 Asian2 (0.9)1 (0.8)1 (1.0)
 Black or African American30 (13.4)20 (16.0)10 (10.1)
 Hispanic or Latino98 (43.8)50 (40.0)48 (48.5)
 Other/unknown12 (5.4)7 (5.6)5 (5.1)
 White or Caucasian82 (36.6)47 (37.6)35 (35.4)
Hypertension87 (38.8)55 (44.0)32 (32.3).075
Heart disease49 (21.9)35 (28.0)14 (14.1) .013
Chronic pulmonary disease26 (11.6)15 (12.0)11 (11.1).84
Diabetes60 (26.8)32 (25.6)28 (28.3).65
Renal failure10 (4.5)7 (5.6)3 (3.0).36
Liver disease9 (4.0)5 (4.0)4 (4.0).99
Obesity103 (46.0)60 (48.0)43 (43.4).50
Days from symptoms onset6.00 (3.00–8.00)6.00 (2.00–7.00)6.00 (3.00–8.00).59
Baseline oxygen.75
 Invasive mechanical ventilation43 (19.5)24 (19.7)19 (19.2)
 Low-flow supplemental oxygen108 (48.9)60 (49.2)48 (48.5)
 NIPPV or HFOD55 (24.9)28 (23.0)27 (27.3)
 Room air15 (6.8)10 (8.2)5 (5.1)
Corticosteroidsa61 (27.2)34 (27.2)27 (27.3).99
Hydroxychloroquine25 (11.2)20 (16.0)5 (5.1).010
Convalescent plasma19 (8.5)16 (12.8)3 (3.0).009
Weighted Elixhauser index (van Walraven).009
 <053 (23.7)24 (19.2)29 (29.3)
 061 (27.2)27 (21.6)34 (34.3)
 1–430 (13.4)21 (16.8)9 (9.1)
 ≥580 (35.7)53 (42.4)27 (27.3)

Bold values: P < 0.05. Data are presented as No. (%) or median (interquartile range). Comorbidities were estimated using ICD-10 codes according to the Elixhauser Comorbidity Index.

Abbreviations: HFOD, high-flow oxygen devices; ICD-10, International Classification of Diseases, 10th Revision; NIPPV, noninvasive positive pressure ventilation.

aAt least 1 dose of dexamethasone, fludrocortisone, hydrocortisone, methylprednisolone, or prednisone.

Baseline Patients Characteristics on Admission Bold values: P < 0.05. Data are presented as No. (%) or median (interquartile range). Comorbidities were estimated using ICD-10 codes according to the Elixhauser Comorbidity Index. Abbreviations: HFOD, high-flow oxygen devices; ICD-10, International Classification of Diseases, 10th Revision; NIPPV, noninvasive positive pressure ventilation. aAt least 1 dose of dexamethasone, fludrocortisone, hydrocortisone, methylprednisolone, or prednisone. Among the control group, reasons for not enrolling in the remdesivir trial included the following: 45 patients (36.0%) were deemed eligible for enrollment by the trial investigators, but they were not enrolled for undocumented reasons; 33 patients (26.4%) refused participation; 19 patients (15.2%) were not eligible given that their SARS-COV-2 PCR was older than 96 hours (trial exclusion criterion) but met the rest of the inclusion/exclusion criteria; 25 patients (20.0%) were eligible, but the trial was paused to enrollment at the time of assessment; and 3 patients (2.4%) were eligible but were unable to provide consent, and a legally authorized representative was not available.

Primary Outcome

In total, 24/224 patients (10.7%) died within 28 days of their hospital admission. More specifically, 17/125 patients (13.6%) who received supportive care and 7/99 patients (7.1%) who received remdesivir died. In our primary unadjusted analysis, the risk of 28-day all-cause in-hospital death was lower for patients who received remdesivir compared with patients who received supportive care (hazard ratio [HR], 0.42; 95% CI, 0.16–1.08), albeit it did not reach statistical significance. These estimates remained after adjusting for age, sex, race, oxygen requirements on admission (adjusted HR [aHR], 0.49; 95% CI, 0.19–1.28), use of systemic corticosteroids, and chronic comorbidities such as hypertension, heart disease, chronic pulmonary disease, obesity, and diabetes (aHR, 0.44; 95% CI, 0.16–1.23) (Table 2; Supplementary Figure 1).
Table 2.

Cox Proportional Hazards Models for 28-Day Outcomes

Remdesivir vs Supportive Care Hazard Ratio (95% Confidence Interval)
OutcomeUnadjustedAdjusted for Age, Sex, Race, and O2 Requirements on AdmissionFully Adjusteda
All cause in-hospital death0.42 (0.16–1.08)0.49 (0.19–1.28)0.44 (0.16–1.23)
Development of AKI 0.98 (0.58–1.63)0.97 (0.57–1.64)1.10 (0.64–1.90)

Abbreviation: AKI, acute kidney injury.

aAge, sex, race, O2 requirements on admission, use of systemic corticosteroids, heart disease, hypertension, chronic pulmonary disease, diabetes, obesity.

Cox Proportional Hazards Models for 28-Day Outcomes Abbreviation: AKI, acute kidney injury. aAge, sex, race, O2 requirements on admission, use of systemic corticosteroids, heart disease, hypertension, chronic pulmonary disease, diabetes, obesity.

Secondary Outcomes

The median time to clinical recovery was 10 days for the remdesivir arm (95% CI, 8–12) and 10 days for the supportive care arm (95% CI, 8–13). Using Mantel-Cox rate ratios, we found no significant difference in time to recovery, regardless of the stratification variable. Similarly, we found no significant differences between the 2 study arms in terms of time to clinical improvement and time to discharge. Although not reaching statistical significance, the rate ratios for time to recovery, clinical improvement, and discharge were higher in women and black or African American patients who received remdesivir. Finally, the rate ratio for time to recovery and time to discharge was higher among patients who received remdesivir during the first 7 days after symptom onset, albeit without reaching statistical significance (rate ratio [RR], 1.26; 95% CI, 0.83–1.92; and RR, 1.24; 95% CI, 0.81–1.90; respectively). Results are presented in Table 3.
Table 3.

Mantel-Cox Rate Ratios for Time Clinical Recovery, Improvement, or Discharge

Remdesivir vs Supportive Care Rate Ratio (95% Confidence Interval)
Stratification SubgroupTime to RecoveryTime to Clinical ImprovementTime to Discharge
Sex
 Male0.83 (0.56–1.22)0.82 (0.56–1.21)0.85 (0.58–1.26)
 Female1.48 (0.83–2.63)1.50 (0.85–2.64)1.38 (0.76–2.52)
Age group
 18–49 y1.17 (0.61–2.21)1.02 (0.54–1.93)1.13 (0.59–2.13)
 50–64 y0.95 (0.57–1.56)0.94 (0.57–1.54)0.93 (0.56–1.54)
 ≥65 y0.96 (0.55–1.69)1.06 (0.60–1.87)1.01 (0.55–1.83)
Race
 Black or African American2.12 (0.85–5.28)1.67 (0.68–4.08)2.29 (0.94–5.57)
 Hispanic or Latino0.82 (0.51–1.33)0.76 (0.47–1.24)0.72 (0.44–1.18)
 White or Caucasian1.14 (0.66–1.97)1.19 (0.68–2.07)1.27 (0.73–2.24)
 Other0.37 (0.08–1.63)0.18 (0.03–1.06)0.36 (0.07–1.69)
Oxygen requirementsa
 IMV0.93 (0.40–2.14)0.93 (0.42–2.07)1.07 (0.44–2.61)
 NIPPV or HFOD0.87 (0.44–1.70)0.97 (0.50–1.87)0.86 (0.44–1.69)
 Low-flow oxygen1.06 (0.67–1.68)1.04 (0.67–1.63)1.03 (0.66–1.69)
 Room air 1.30 (0.30–5.67)1.18 (0.32–4.36)1.18 (0.32–4.36)
Days from symptoms onseta
 <7 d1.26 (0.83–1.92)1.18 (0.77–1.79)1.24 (0.81–1.90)
 ≥7 d0.76 (0.46–1.26)0.82 (0.50–1.34)0.71 (0.42–1.18)

Abbreviations: HFNC, high-flow nasal cannula; HFOD, high-flow oxygen devices; IMV, invasive mechanical ventilation; NIPPV, noninvasive positive pressure ventilation.

aOn admission, IMV, NIPPV, HFNC.

Mantel-Cox Rate Ratios for Time Clinical Recovery, Improvement, or Discharge Abbreviations: HFNC, high-flow nasal cannula; HFOD, high-flow oxygen devices; IMV, invasive mechanical ventilation; NIPPV, noninvasive positive pressure ventilation. aOn admission, IMV, NIPPV, HFNC.

Adverse Events and Risk of AKI Development

Utilizing the KDIGO criteria for AKI and the Common Terminology Criteria for Adverse Events (CTCAE; version 5.0), we studied the incidence of AKI, transaminitis, and hyperbilirubinemia and found no statistically significant difference among the 2 groups (Table 4). The use of remdesivir was not associated with an increased risk of AKI in both univariate (HR, 0.98; 95% CI, 0.58–1.63) and multivariate Cox proportional hazards models, which were adjusted for age, sex, race, and oxygen requirements on admission (aHR, 0.97; 95% CI, 0.57–1.64), as well as use of systemic corticosteroids and chronic comorbidities (aHR, 1.10; 95% CI, 0.64–1.90) (Table 2).
Table 4.

Adverse Events and Lab Abnormalities

TotalSupportive CareRemdesivir P Value
n = 224n = 125n = 99
Acute kidney injury.12
 Stage 131 (52)17 (50)14 (54)
 Stage 25 (8)5 (15)0 (0)
 Stage 324 (40)12 (35)12 (46)
Aspartate aminotransferase increase.20
 Grade 166 (96)31 (91)35 (100)
 Grade 21 (1)1 (3)0 (0)
 Grade 32 (3)2 (6)0 (0)
Alanine aminotransferase increase.25
 Grade 163 (95)32 (91)31 (100)
 Grade 20 (0)0 (0)0 (0)
 Grade 32 (3)2 (6)0 (0)
 Grade 41 (2)1 (3)0 (0)
Serum total bilirubin increase.94
 Grade 116 (47)8 (44)8 (50)
 Grade 211 (32)6 (33)5 (31)
 Grade 37 (21)4 (22)3 (19)

Data are presented as No. (%). ALT, AST, and bilirubin were graded using CTCAE, version 5.0. AKI was graded according to the KDIGO criteria.

Abbreviations: AKI, acute kidney injury; ALT, alanine aminotransferase; AST, aspartate aminotransferase; CTCAE, Common Terminology Criteria for Adverse Events.

Adverse Events and Lab Abnormalities Data are presented as No. (%). ALT, AST, and bilirubin were graded using CTCAE, version 5.0. AKI was graded according to the KDIGO criteria. Abbreviations: AKI, acute kidney injury; ALT, alanine aminotransferase; AST, aspartate aminotransferase; CTCAE, Common Terminology Criteria for Adverse Events.

DISCUSSION

In order to provide a cohesive assessment of the efficacy of remdesivir, we compared the clinical outcomes of patients who were hospitalized with severe COVID-19 (requiring supplemental oxygen and having abnormal imaging findings) and received either remdesivir or supportive care. After using similar inclusion and exclusion criteria for both study arms, we found that patients on remdesivir had lower all-cause in-hospital mortality, but this did not reach statistical significance. In addition, we observed a shortened time to recovery, time to clinical improvement, and time to discharge among women and Black or African American patients, again without reaching statistical significance. Importantly, the use of remdesivir did not increase liver test abnormalities or the risk for AKI. To date, there are limited studies describing the safety and efficacy of remdesivir in patients with COVID-19. In the study by Grein et al. [5], the authors described the compassionate use of remdesivir in patients with severe COVID-19. In this multicenter study, 53 patients received remdesivir for 10 days (200 mg on day 1 followed by 100 mg for 9 days) and had a median follow-up of 18 days. The authors reported oxygen need improvement in 68% of patients, while 7 out of 53 patients (13%) died. However, the interpretation of those findings was limited by the lack of a control arm and the small sample size. In April 2020, Wang et al. reported the first randomized, double-blind, placebo-controlled trial comparing patients with severe COVID-19 who received either remdesivir or placebo [7]. The study included 237 patients from China and was terminated early due to lack of eligible study participants (initial sample goal was 453 patients). The authors found that remdesivir use did not significantly improve the time to clinical improvement (HR, 1.23) or 28-day mortality. The first study to yield a clear clinical benefit from remdesivir use in patients with COVID-19 was the preliminary report from the ongoing double-blind, randomized, placebo-controlled trial by the National Institute of Allergy and Infectious Diseases (NIAID) [8]. In this study, the authors found that patients who received 10 days of remdesivir had a significantly faster time to recovery compared with the placebo group. Our study did not yield the same clinical benefit in terms of time to recovery, possibly due to a smaller sample size, differences in patient characteristics and baseline oxygen needs, and lack of randomization. However, our mortality estimates were similar. Specifically, Beigel et al. reported a 7.1% and 11.9% 14-day mortality for the remdesivir and placebo groups, respectively, while they reported an HR for death of 0.70 (95% CI, 0.47–1.04). Similarly, we found a 7.1% and 13.6% 28-day in-hospital mortality for the remdesivir and supportive care groups, respectively, while our adjusted HR estimate for death was 0.44 (95% CI, 0.16–1.23). Although the current literature and our study suggest that there are potential benefits from remdesivir use, the magnitude of those benefits will also be determined by remdesivir safety, access, and cost [14]. In terms of safety, remdesivir appears to be tolerated well by most patients [7], and our findings showed that the risk of 28-day AKI development was not increased compared with the supportive care arm. Regarding the access and cost, as current supplies of the drug and its worldwide availability remain questionable [15], it is important for future studies to confirm the noninferiority of a 5-day compared with a 10-day regimen [10], as well as identify those patients who may benefit the most. By imposing the same exclusion criteria for patients who participated in the remdesivir trial and for those who composed our study’s control arm, we minimized selection bias. This was also reflected by similar baseline characteristics and oxygen needs among the two arms. Then, by determining the reasons that patients in the control arm were not enrolled in the remdesivir trial, we confirmed that indication bias was minimized in this observational study. In addition, by including only those patients who received remdesivir within the first 48 hours after admission and excluding patients from the control arm who died within the first 48 hours after admission, we minimized immortal time bias. Finally, utilizing data from consecutive patients hospitalized in the same institution, we minimized any differences in terms of treatment protocols (eg, ventilatory strategies, concomitant medications) as well as hospitalization and discharge thresholds across the study population. Our study has limitations that should be taken into consideration. First, the observational, nonrandomized nature of the present study introduces the possibility of bias inherent to this study design. For example, the rationale behind a patient’s decision to refuse participation in the remdesivir trial may reflect less severe disease, which cannot be measured by baseline oxygen needs alone. Although baseline oxygen needs and other related conditions were similar among the 2 study arms, there is a chance that at least some patients in the supportive arm were less sick. Furthermore, in order to minimize selection bias, we excluded patients who received remdesivir within the the first 48 hours after admission. In Supplementary Table 1, we include the characteristics and outcomes of all the patients enrolled who received remdesivir, irrespective of time of treatment initiation, including those who received remdesivir within the first 48 hours after admission and were excluded from the analysis. In addition, as in all similar trials, many patients reported an estimated and not an exact date of symptom onset. Finally, the present study might be underpowered [14]. In conclusion, our single-center analysis adds to the understanding that remdesivir may have potential clinical benefits in patients with severe COVID-19, and the use of remdesivir did not increase liver test abnormalities or the risk for AKI. Notably, there was a trend for shortened time to recovery, time to clinical improvement, and time to discharge among women and black or African American patients. These promising signals need to be confirmed by future trials. Such trials should include evaluation for women and racial groups.

Supplementary Data

Supplementary materials are available at Open Forum Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author. Click here for additional data file.
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1.  Problem of immortal time bias in cohort studies: example using statins for preventing progression of diabetes.

Authors:  Linda E Lévesque; James A Hanley; Abbas Kezouh; Samy Suissa
Journal:  BMJ       Date:  2010-03-12

2.  Broad-spectrum antiviral GS-5734 inhibits both epidemic and zoonotic coronaviruses.

Authors:  Timothy P Sheahan; Amy C Sims; Rachel L Graham; Vineet D Menachery; Lisa E Gralinski; James B Case; Sarah R Leist; Krzysztof Pyrc; Joy Y Feng; Iva Trantcheva; Roy Bannister; Yeojin Park; Darius Babusis; Michael O Clarke; Richard L Mackman; Jamie E Spahn; Christopher A Palmiotti; Dustin Siegel; Adrian S Ray; Tomas Cihlar; Robert Jordan; Mark R Denison; Ralph S Baric
Journal:  Sci Transl Med       Date:  2017-06-28       Impact factor: 17.956

3.  Remdesivir for 5 or 10 Days in Patients with Severe Covid-19.

Authors:  Jason D Goldman; David C B Lye; David S Hui; Kristen M Marks; Raffaele Bruno; Rocio Montejano; Christoph D Spinner; Massimo Galli; Mi-Young Ahn; Ronald G Nahass; Yao-Shen Chen; Devi SenGupta; Robert H Hyland; Anu O Osinusi; Huyen Cao; Christiana Blair; Xuelian Wei; Anuj Gaggar; Diana M Brainard; William J Towner; Jose Muñoz; Kathleen M Mullane; Francisco M Marty; Karen T Tashima; George Diaz; Aruna Subramanian
Journal:  N Engl J Med       Date:  2020-05-27       Impact factor: 91.245

4.  Prophylactic and therapeutic remdesivir (GS-5734) treatment in the rhesus macaque model of MERS-CoV infection.

Authors:  Emmie de Wit; Friederike Feldmann; Jacqueline Cronin; Robert Jordan; Atsushi Okumura; Tina Thomas; Dana Scott; Tomas Cihlar; Heinz Feldmann
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-13       Impact factor: 11.205

5.  Compassionate Use of Remdesivir for Patients with Severe Covid-19.

Authors:  Jonathan Grein; Norio Ohmagari; Daniel Shin; George Diaz; Erika Asperges; Antonella Castagna; Torsten Feldt; Gary Green; Margaret L Green; François-Xavier Lescure; Emanuele Nicastri; Rentaro Oda; Kikuo Yo; Eugenia Quiros-Roldan; Alex Studemeister; John Redinski; Seema Ahmed; Jorge Bernett; Daniel Chelliah; Danny Chen; Shingo Chihara; Stuart H Cohen; Jennifer Cunningham; Antonella D'Arminio Monforte; Saad Ismail; Hideaki Kato; Giuseppe Lapadula; Erwan L'Her; Toshitaka Maeno; Sumit Majumder; Marco Massari; Marta Mora-Rillo; Yoshikazu Mutoh; Duc Nguyen; Ewa Verweij; Alexander Zoufaly; Anu O Osinusi; Adam DeZure; Yang Zhao; Lijie Zhong; Anand Chokkalingam; Emon Elboudwarej; Laura Telep; Leighann Timbs; Ilana Henne; Scott Sellers; Huyen Cao; Susanna K Tan; Lucinda Winterbourne; Polly Desai; Robertino Mera; Anuj Gaggar; Robert P Myers; Diana M Brainard; Richard Childs; Timothy Flanigan
Journal:  N Engl J Med       Date:  2020-04-10       Impact factor: 91.245

6.  Remdesivir in adults with severe COVID-19: a randomised, double-blind, placebo-controlled, multicentre trial.

Authors:  Yeming Wang; Dingyu Zhang; Guanhua Du; Ronghui Du; Jianping Zhao; Yang Jin; Shouzhi Fu; Ling Gao; Zhenshun Cheng; Qiaofa Lu; Yi Hu; Guangwei Luo; Ke Wang; Yang Lu; Huadong Li; Shuzhen Wang; Shunan Ruan; Chengqing Yang; Chunlin Mei; Yi Wang; Dan Ding; Feng Wu; Xin Tang; Xianzhi Ye; Yingchun Ye; Bing Liu; Jie Yang; Wen Yin; Aili Wang; Guohui Fan; Fei Zhou; Zhibo Liu; Xiaoying Gu; Jiuyang Xu; Lianhan Shang; Yi Zhang; Lianjun Cao; Tingting Guo; Yan Wan; Hong Qin; Yushen Jiang; Thomas Jaki; Frederick G Hayden; Peter W Horby; Bin Cao; Chen Wang
Journal:  Lancet       Date:  2020-04-29       Impact factor: 79.321

7.  First Case of 2019 Novel Coronavirus in the United States.

Authors:  Michelle L Holshue; Chas DeBolt; Scott Lindquist; Kathy H Lofy; John Wiesman; Hollianne Bruce; Christopher Spitters; Keith Ericson; Sara Wilkerson; Ahmet Tural; George Diaz; Amanda Cohn; LeAnne Fox; Anita Patel; Susan I Gerber; Lindsay Kim; Suxiang Tong; Xiaoyan Lu; Steve Lindstrom; Mark A Pallansch; William C Weldon; Holly M Biggs; Timothy M Uyeki; Satish K Pillai
Journal:  N Engl J Med       Date:  2020-01-31       Impact factor: 91.245

8.  Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro.

Authors:  Manli Wang; Ruiyuan Cao; Leike Zhang; Xinglou Yang; Jia Liu; Mingyue Xu; Zhengli Shi; Zhihong Hu; Wu Zhong; Gengfu Xiao
Journal:  Cell Res       Date:  2020-02-04       Impact factor: 25.617

Review 9.  Remdesivir: A Review of Its Discovery and Development Leading to Emergency Use Authorization for Treatment of COVID-19.

Authors:  Richard T Eastman; Jacob S Roth; Kyle R Brimacombe; Anton Simeonov; Min Shen; Samarjit Patnaik; Matthew D Hall
Journal:  ACS Cent Sci       Date:  2020-05-04       Impact factor: 14.553

10.  Dexamethasone in Hospitalized Patients with Covid-19.

Authors:  Peter Horby; Wei Shen Lim; Jonathan R Emberson; Marion Mafham; Jennifer L Bell; Louise Linsell; Natalie Staplin; Christopher Brightling; Andrew Ustianowski; Einas Elmahi; Benjamin Prudon; Christopher Green; Timothy Felton; David Chadwick; Kanchan Rege; Christopher Fegan; Lucy C Chappell; Saul N Faust; Thomas Jaki; Katie Jeffery; Alan Montgomery; Kathryn Rowan; Edmund Juszczak; J Kenneth Baillie; Richard Haynes; Martin J Landray
Journal:  N Engl J Med       Date:  2020-07-17       Impact factor: 91.245

View more
  7 in total

1.  Potential inhibitors for blocking the interaction of the coronavirus SARS-CoV-2 spike protein and its host cell receptor ACE2.

Authors:  Changzhi Li; Hongjuan Zhou; Lingling Guo; Dehuan Xie; Huiping He; Hong Zhang; Yixiu Liu; Lixia Peng; Lisheng Zheng; Wenhua Lu; Yan Mei; Zhijie Liu; Jie Huang; Mingdian Wang; Ditian Shu; Liuyan Ding; Yanhong Lang; Feifei Luo; Jing Wang; Bijun Huang; Peng Huang; Song Gao; Jindong Chen; Chao-Nan Qian
Journal:  J Transl Med       Date:  2022-07-14       Impact factor: 8.440

2.  CD169-mediated restrictive SARS-CoV-2 infection of macrophages induces pro-inflammatory responses.

Authors:  Sallieu Jalloh; Judith Olejnik; Jacob Berrigan; Annuurun Nisa; Ellen L Suder; Hisashi Akiyama; Maohua Lei; Sanjay Tyagi; Yuri Bushkin; Elke Mühlberger; Suryaram Gummuluru
Journal:  bioRxiv       Date:  2022-03-30

3.  Clinical and Virologic Effectiveness of Remdesivir Treatment for Severe Coronavirus Disease 2019 (COVID-19) in Korea: a Nationwide Multicenter Retrospective Cohort Study.

Authors:  Eun Jeong Joo; Jae Hoon Ko; Seong Eun Kim; Seung Ji Kang; Ji Hyeon Baek; Eun Young Heo; Hye Jin Shi; Joong Sik Eom; Pyoeng Gyun Choe; Seongman Bae; Sang Hyun Ra; Da Young Kim; Baek Nam Kim; Yu Min Kang; Ji Yeon Kim; Jin Won Chung; Hyun Ha Chang; Sohyun Bae; Shinhyea Cheon; Yoonseon Park; Heun Choi; Eunjung Lee; Bo Young Lee; Jung Wan Park; Yujin Sohn; Jung Yeon Heo; Sung Han Kim; Kyong Ran Peck
Journal:  J Korean Med Sci       Date:  2021-03-22       Impact factor: 2.153

4.  Clinical efficacy and safety of remdesivir in patients with COVID-19: a systematic review and network meta-analysis of randomized controlled trials.

Authors:  Chih-Cheng Lai; Chao-Hsien Chen; Cheng-Yi Wang; Kuang-Hung Chen; Ya-Hui Wang; Po-Ren Hsueh
Journal:  J Antimicrob Chemother       Date:  2021-03-24       Impact factor: 5.790

5.  Use of remdesivir in patients with COVID-19: a systematic review and meta-analysis.

Authors:  Suzana E Tanni; Antonio Silvinato; Idevaldo Floriano; Hélio A Bacha; Alexandre Naime Barbosa; Wanderley M Bernardo
Journal:  J Bras Pneumol       Date:  2022-02-02       Impact factor: 2.624

6.  Remdesivir Treatment in Hospitalized Patients With Coronavirus Disease 2019 (COVID-19): A Comparative Analysis of In-hospital All-cause Mortality in a Large Multicenter Observational Cohort.

Authors:  Essy Mozaffari; Aastha Chandak; Zhiji Zhang; Shuting Liang; Mark Thrun; Robert L Gottlieb; Daniel R Kuritzkes; Paul E Sax; David A Wohl; Roman Casciano; Paul Hodgkins; Richard Haubrich
Journal:  Clin Infect Dis       Date:  2022-08-24       Impact factor: 20.999

7.  Predictors of severity and mortality among patients hospitalized with COVID-19 in Rhode Island.

Authors:  Aakriti Pandita; Fizza S Gillani; Yiyun Shi; Anna Hardesty; Meghan McCarthy; Jad Aridi; Dimitrios Farmakiotis; Silvia S Chiang; Curt G Beckwith
Journal:  PLoS One       Date:  2021-06-18       Impact factor: 3.752

  7 in total

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