Background
The recently published ‘Adaptive COVID-19 Treatment Trial’ (ACTT-1) showed that remdesivir is a promising treatment option against coronavirus disease 2019 (COVID-19) [1]. Consequently, remdesivir is now being evaluated for implementation in clinical practice worldwide.
Randomized clinical trials (RCTs) are the current golden standard for procuring evidence of a drug’s efficacy, but in order to predict effectiveness and safety in daily clinical practice, it is important to complement the results from RCTs with an evaluation of their transferability to a real-world setting.
To bridge the evidentiary gap between clinical research and clinical practice, the U.S. Food and Drug Administration recognizes the need for harnessing ‘Real-World Data’ and observational methods to generate evidence of effectiveness to support regulatory decisions concerning drugs [2].
Objective
The aim of the present study was to examine whether the evidence generated in the ACTT-1 could be applied to a real-world population by comparing characteristics of the included patients and their outcomes in order to evaluate the transferability of the trial’s outcomes to the patients eligible for remdesivir treatment in clinical practice.
Methods and findings
Data for the present study were extracted from hospital electronic health records of all patients with a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test in the Capital Region of Denmark admitted to a hospital between March 1 and May 5, 2020. Patients’ eligibility was assessed using inclusion and exclusion criteria from ACCT-1. Index time for baseline characteristics and start of follow-up was defined as 24 h after admission or time of first positive SARS-CoV-2 test result, whichever came last based on an assumption that most patients would have been included in the ACCT-1 trial prior to this timepoint. We assessed mortality and time to discharge as a comparable outcome to time to recovery in ACCT-1, during the first 29 days. Indirect standardization was used to weight the cohort to the same eight-point ordinal severity baseline score as the placebo group in the ACTT-1.
We identified 1053 patients admitted with COVID-19. Four hundred and seventy-four patients were ineligible according to inclusion criteria (385 due to mild disease) and exclusion criteria (84 due to severe chronic kidney disease). The remaining 579 patients had complete follow-up. Compared to the placebo group in the ACTT-1, the patients in the present study were older and less obese and fewer required high-flow oxygen, non-invasive ventilation (NIV) or ventilator treatment (Table 1). The overall study population had a shorter duration to discharge and increased mortality compared to the ACTT-1 placebo group (Fig. 1). Adjusting for differences in baseline severity by weighting the study population increased the time to discharge and to a lesser degree mortality. Twenty-two deaths, of 148, occurred after discharge.
Table 1.
Patient characteristics at baseline and outcomes
Characteristics and outcomes | ACTT-1, placebo group (n = 522) | Capital Region of Denmark (n = 579) | Capital Region of Denmark, weighted (n = 579) |
---|---|---|---|
Age (mean, standard deviation, years) | 59.2 (15.4) | 69.0 (14.9) | 67.1 (14.5) |
Age intervals (n, %) | |||
18–39 years | 60 (11.5) | 22 (3.8) | (5.2) |
40–64 years | 264 (50.6) | 174 (30.1) | (30.8) |
65 + years | 198 (37.9) | 383 (66.1) | (64.0) |
Male sex (n, %) | 332 (63.6) | 329 (56.8) | (57.7) |
BMI (mean, standard deviation, kg/m2) | 30.5 (7.3) | 27.4 (6.4) | 28.0 (6.2) |
Summary of comorbidities (n, %) | |||
None | 102 (22.5) | 132 (22.8) | (23.1) |
One | 117 (25.8) | 165 (28.5) | (33.7) |
Two or more | 234 (51.7) | 282 (48.7) | (43.3) |
Coexisting comorbidities (n, %) | |||
Hypertension | 229 (49.9) | 299 (51.6) | (46.0) |
Coronary artery disease | 46 (10.0) | 92 (15.9) | (14.0) |
Congestive heart failure | 23 (5.0) | 51 (8.8) | (7.3) |
Chronic respiratory disease (emphysema) | 4 (0.9) | 92 (15.9) | (16.0) |
Asthma | 47 (10.3) | 44 (7.6) | (8.7) |
Chronic liver disease (chronic hepatitis, cirrhosis) | 9 (2.0) | 12 (2.1) | (1.8) |
Chronic kidney disease | 22 (4.8) | 11 (1.9) | (1.4) |
Diabetes (type 1 + 2) | 135 (29.6) | 133 (23.0) | (22.9) |
Obesity | 165 (36.2) | 129 (27.7) | (27.9) |
Cancer | 32 (7.0) | 81 (14.0) | (12.8) |
Immune deficiency (acquired or innate) | 36 (7.9) | 48 (8.3) | (9.5) |
Treatment requirement on hospital admission (n, %)* | |||
Hospitalized, not requiring oxygen | 60 (11.9) | 141 (24.4) | (11.9) |
Hospitalized, requiring oxygen | 199 (39.4) | 365 (63.0) | (39.4) |
Hospitalized, NIV or high-flow oxygen | 99 (19.6) | 50 (8.6) | (19.6) |
Hospitalized, mechanical ventilation or ECMO | 147 (29.1) | 23 (4.0) | (29.1) |
Outcomes, overall | |||
Median time to recovery/discharged alive in days | 15 (13–19) | 9 (7–11) | 29 (21–NE) |
Death day 14, Kaplan–Meier estimate % | 11.9 (9.2–15.4) | 21.6 (18.2–24.9) | 24.6 (18.4–30.6) |
*The 17 patients with missing baseline score in ACCT-1 are not included in the denominator
Fig. 1.
Kaplan–Meier estimates of cumulative recoveries and mortality by 14 days. Estimates of cumulative recoveries (a) and mortality by 14 days (b) for patients in the Capital Region of Denmark and the placebo group in the ACTT-1 study
Discussion
Overall, our study shows that patient characteristics and outcomes in the ACTT-1 differ from the present real-world population. The most pronounced differences are a doubled mortality rate and a larger proportion of patients only requiring supplemental oxygen in the Danish real-world cohort. The increased mortality rate is likely due to the cohorts higher age [3].
In the ACTT-1, the most significant reduction in mortality and an increase in recovery rate were reported for the subgroup of patients only requiring supplemental oxygen. Hence, the observed differences with the present cohort may indicate a potentially larger absolute mortality reduction by remdesivir in a real-world population compared to the ACTT-1, assuming the relative mortality reduction observed in the supplemental oxygen subgroup in the ACTT-1 persists.
Due to the observational nature of the present study, results should be interpreted with caution. We believe, however, that the results are an important supplemental tool to better evaluate the possible impact of introducing remdesivir in clinical practice.
Acknowledgements
The authors would like to thank Gert Mehl Virenfeldt and Janne Petersen from Center for Clinical Research and Prevention, Copenhagen University Hospital Bispebjerg and Frederiksberg for contribution to data management, study design, data interpretation and revising the manuscript.
Authors' contributions
TSP, EJS and MTF are responsible for the conception. MTF wrote the first manuscript draft. AHA, MEN, MZA and TSP analyzed the data. All the authors did participate in study design, data interpretation and revising the manuscript. All authors read and approved the final manuscript.
Funding
This study was an investigator-initiated study. It was supported by a research grant from Novo Nordisk Fonden (DK) (NNF20SA0062879).
Availability of data and materials
The datasets generated and/or analyzed during the current study are not publicly available due Danish law restricting the sharing of non-anonymous personal data.
Ethical approval and consent to participate
The study was approved by the Danish Patient Safety Authority (31-1521-257) and the Danish Data Protection Agency (P-2020-320). Ethics committee approval and informed consent were not required as per Danish law.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
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References
- 1.Beigel JH, Tomashek KM, Dodd LE, Mehta AK, Zingman BS, Kalil AC, et al. Remdesivir for the treatment of Covid-19—preliminary report. N Engl J Med [Internet]. 22 May 2020 [cited 8 June 2020]. http://www.nejm.org/doi/10.1056/NEJMoa2007764.
- 2.https://www.fda.gov/science-research/science-and-research-special-topics/real-world-evidence.
- 3.Reilev M, Kristensen KB, Pottegaard A, Lund LC, Hallas J, Ernst MT, et al. Characteristics and predictors of hospitalization and death in the first 11 122 cases with a positive RT-PCR test for SARS-CoV-2 in Denmark: a nationwide cohort. Int J Epidemiol [Internet]. 5 Sept 2020 [cited 4 Nov 2020]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499657/. [DOI] [PMC free article] [PubMed]
Associated Data
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Data Availability Statement
The datasets generated and/or analyzed during the current study are not publicly available due Danish law restricting the sharing of non-anonymous personal data.