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ZHOU Xian Long, DING Guo Yong, YANG Lu Yu, LIU Rui Ning, HOU Hai Feng, WANG Ping, MA Min, HU Zhuan Zhuan, HUANG Lei, XU Xi Zhu, HU Quan, ZHAO Yan, XING Wei Jia, ZHAO Zhi Gang. The Effectiveness of Antiviral Treatment in Severe COVID-19 Patients in Wuhan, China: A Multicenter Study[J]. Biomedical and Environmental Sciences, 2022, 35(1): 58-63. doi: 10.3967/bes2022.007
Citation: ZHOU Xian Long, DING Guo Yong, YANG Lu Yu, LIU Rui Ning, HOU Hai Feng, WANG Ping, MA Min, HU Zhuan Zhuan, HUANG Lei, XU Xi Zhu, HU Quan, ZHAO Yan, XING Wei Jia, ZHAO Zhi Gang. The Effectiveness of Antiviral Treatment in Severe COVID-19 Patients in Wuhan, China: A Multicenter Study[J]. Biomedical and Environmental Sciences, 2022, 35(1): 58-63. doi: 10.3967/bes2022.007

The Effectiveness of Antiviral Treatment in Severe COVID-19 Patients in Wuhan, China: A Multicenter Study

doi: 10.3967/bes2022.007
Funds:  This work was supported by The National Natural Science Foundation of China [grant numbers 81900097 and 81903401]; The Emergency Response Project of Hubei Science and Technology Department [grant number 2020FCA023]; The Young Taishan Scholars Program of Shandong Province of China [grant number tsqn20161046]; The Shandong Province Higher Educational Young and Innovation Technology Supporting Program [grant number 2019KJL004]; The Academic Promotion Program of Shandong First Medical University [grant number 2019RC010]; and The Emergency Diagnostic and Therapeutic Center of Central China
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  • Author Bio:

    ZHOU Xian Long, male, born in 1987, MD, PhD, majoring in emergency medicine

    DING Guo Yong, male, born in 1981, PhD, majoring in epidemiology of infectious diseases

    YANG Lu Yu, female, born in 1982, MD, majoring in emergency medicine

    LIU Rui Ning, female, born in 1993, PhD, majoring in emergency medicine

  • Corresponding author: HU Quan, E-mail: drzhaozhigang@163.com; ZHAO Yan, E-mail: doctoryanzhao@whu.edu.cn; XING Wei Jia, E-mail: wjxing@sdfmu.edu.cn; ZHAO Zhi Gang, E-mail: drzhaozhigang@163.com
  • &These authors contributed equally to this work.
  • Received Date: 2021-07-27
  • Accepted Date: 2021-10-08
  • &These authors contributed equally to this work.
  • 加载中
  • [1] World Health Organization. WHO Coronavirus (COVID-19) dashboard. https://covid19.who.int. [2021-09-09].
    [2] Guan WJ, Ni ZY, Hu Y, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med, 2020; 382, 1708−20. doi:  10.1056/NEJMoa2002032
    [3] Sanders JM, Monogue ML, Jodlowski TZ, et al. Pharmacologic treatments for coronavirus disease 2019 (COVID-19): a review. JAMA, 2020; 323, 1824−36. doi: 10.1001/jama.2020.6019.
    [4] Wang DW, Hu B, Hu C, et al. Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA, 2020; 323, 1061−9. doi:  10.1001/jama.2020.1585
    [5] Cao B, Wang YM, Wen DN, et al. A trial of lopinavir-ritonavir in adults hospitalized with severe COVID-19. N Engl J Med, 2020; 382, 1787−99. doi:  10.1056/NEJMoa2001282
    [6] Elfiky AA. Ribavirin, Remdesivir, Sofosbuvir, Galidesivir, and Tenofovir against SARS-CoV-2 RNA dependent RNA polymerase (RdRp): a molecular docking study. Life Sci, 2020; 253, 117592. doi:  10.1016/j.lfs.2020.117592
    [7] Beck BR, Shin B, Choi Y, et al. Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model. Comput Struct Biotechnol J, 2020; 18, 784−90. doi:  10.1016/j.csbj.2020.03.025
    [8] Prokunina-Olsson L, Alphonse N, Dickenson RE, et al. COVID-19 and emerging viral infections: the case for interferon lambda. J Exp Med, 2020; 217, e20200653. doi:  10.1084/jem.20200653
    [9] Zhou F, Yu T, Du RH, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet, 2020; 395, 1054−62. doi:  10.1016/S0140-6736(20)30566-3
    [10] Li H, Liu L, Zhang DY, et al. SARS-CoV-2 and viral sepsis: observations and hypotheses. Lancet, 2020; 395, 1517−20. doi:  10.1016/S0140-6736(20)30920-X
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The Effectiveness of Antiviral Treatment in Severe COVID-19 Patients in Wuhan, China: A Multicenter Study

doi: 10.3967/bes2022.007
Funds:  This work was supported by The National Natural Science Foundation of China [grant numbers 81900097 and 81903401]; The Emergency Response Project of Hubei Science and Technology Department [grant number 2020FCA023]; The Young Taishan Scholars Program of Shandong Province of China [grant number tsqn20161046]; The Shandong Province Higher Educational Young and Innovation Technology Supporting Program [grant number 2019KJL004]; The Academic Promotion Program of Shandong First Medical University [grant number 2019RC010]; and The Emergency Diagnostic and Therapeutic Center of Central China
&These authors contributed equally to this work.
ZHOU Xian Long, DING Guo Yong, YANG Lu Yu, LIU Rui Ning, HOU Hai Feng, WANG Ping, MA Min, HU Zhuan Zhuan, HUANG Lei, XU Xi Zhu, HU Quan, ZHAO Yan, XING Wei Jia, ZHAO Zhi Gang. The Effectiveness of Antiviral Treatment in Severe COVID-19 Patients in Wuhan, China: A Multicenter Study[J]. Biomedical and Environmental Sciences, 2022, 35(1): 58-63. doi: 10.3967/bes2022.007
Citation: ZHOU Xian Long, DING Guo Yong, YANG Lu Yu, LIU Rui Ning, HOU Hai Feng, WANG Ping, MA Min, HU Zhuan Zhuan, HUANG Lei, XU Xi Zhu, HU Quan, ZHAO Yan, XING Wei Jia, ZHAO Zhi Gang. The Effectiveness of Antiviral Treatment in Severe COVID-19 Patients in Wuhan, China: A Multicenter Study[J]. Biomedical and Environmental Sciences, 2022, 35(1): 58-63. doi: 10.3967/bes2022.007
  • Coronavirus disease 2019 (COVID-19) has inarguably caused the most challenging pandemic. In less than 2 years, greater than 200 million cases of COVID-19 and 4.5 million deaths have been reported worldwide[1]. The treatment strategy of an emerging infectious disease is a huge challenge for clinical practitioners because of missing key knowledge about the disease. Although most COVID-19 patients present with mild symptoms, some COVID-19 patients develop severe complications and even death[2]. Therefore, it is essential to improve the management of patients with severe infections to reduce the mortality of COVID-19. Because severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) belongs to the Coronavirus family, clinical physicians tend to use antiviral drugs in COVID-19 treatment. However, the effectiveness of antiviral therapy in COVID-19 is controversial.

    This historical cohort study was conducted in four hospitals located in Wuhan, including Zhongnan Hospital of Wuhan University, Wuhan Third Hospital, Union Jiangbei Hospital, and the First People's Hospital of Jiangxia District. All study methods were carried out with all the relevant national regulations, institutional policies, and in accordance with the tenets of the Declaration of Helsinki. This study was approved by the Ethics Committees of these hospitals.

    All patients 18 years of age and older with severe COVID-19 who were treated at 1 of the 4 hospitals between 8 January and 9 March 2020 were enrolled in the current study. All the patients receiving antiviral treatments, including ribavirin, oseltamivir, abidor, interferon, and lopinavir/ritonavir, comprised the antiviral group. The patients receiving non-antiviral treatments comprised the control group. Among the 138 patients with severe COVID-19, 109 (79.0%) and 29 (21.0%) were in the antiviral and control groups, respectively. The daily doses of ribavirin, oseltamivir, abidor, interferon, and lopinavir/ritonavir were 0.8 g, 150 mg, 400 mg, 8 million IU, and 800 mg, respectively. The cumulative duration of antiviral treatment was defined as the period between the date of the first prescription and the date of completing the last prescription.

    The primary outcomes were the in-hospital death rate and duration of hospitalization. The secondary outcomes included ICU admission, length of stay in the ICU, use of mechanical ventilation, length of mechanical ventilation, and the development of complications. The complications in COVID-19 patients consisted of acute respiratory distress syndrome (ARDS), sepsis, septic shock, acute kidney injury (AKI), acute cardiac injury, and disseminated intravascular coagulation (DIC).

    The demographic and clinical data of the patients, and the prescription and dispensing of drugs were extracted from the electric medical records. The covariates of analysis were defined as follows: patient characteristics; co-morbidities; surgical history; clinical signs and symptoms; ventilation mode at admission; vital signs and laboratory findings; and treatments other than antiviral therapy.

    Descriptive data are expressed as the mean ± standard deviation (SD) or median with interquartile range (IQR) or range for continuous variables. The number and percentage were used for describing categorical variables. The antiviral and control groups were compared using a t-test for normally distributed data, Mann-Whitney test for non-normally distributed or graded variables, and a chi-square (χ2) test or Fisher’s exact test for discrete variables. Kaplan-Meier analysis was applied for survival time analysis during hospitalization. The log-rank test was used to compare the length of hospitalization in surviving patients and deaths. Survival analysis was stratified by the combined treatments in surviving patients and deaths. Cox regression analysis was used to evaluate the association between antiviral treatment and risk of death in patients with severe COVID-19 infection. All analyses were performed using R software (version 3.6.3; R Foundation for Statistical Computing). Two-sided P values < 0.05 were considered to indicate statistical significance.

    A total of 138 patients [90 (65.2% males)] with severe COVID-19 infections were enrolled in our study. The mean age was 65.4 years (SD: ± 12.6; Table 1). Only 8 (5.8%) patients were smokers. Eighty-six patients (63.3%) had co-existing disorders, including hypertension, diabetes, coronary heart disease, renal insufficiency, chronic lung disease, cerebrovascular diseases, and malignant tumors (Table 1). Forty patients (29.0%) had a single co-morbidity and 46 (33.3%) had ≥ 2 co-morbidities. The most common initial symptoms were fever, cough, expectoration, dyspnea, fatigue, breathlessness, and wheezing (Table 1). The general characteristics were similar between patients in the antiviral and control groups. Moreover, no statistical differences in vital signs and most laboratory findings were detected between the antiviral and control groups (Supplementary Table S1, available in www.besjournal.com).

    CharacteristicsTotal (n = 138)Antiviral treatmentP
    Yes (n = 109)No (n = 29)
    Age, mean ± SD, years65.38 ± 12.6065.43 ± 12.8465.17 ± 11.88 0.922
    Sex, n (%)0.201
     Female48 (34.8)35 (32.1)13 (44.8)
     Male90 (65.2)74 (67.9)16 (55.2)
    BMI, mean ± SD, kg/m223.37 ± 3.4723.35 ± 3.2923.44 ± 4.060.909
    Smoking, n (%)0.871
     Yes8 (5.8)7 (6.4)1 (3.4)
     No130 (94.2)102 (93.6)28 (96.6)
    Co-morbidities, n (%)
     Hypertension60 (43.5)46 (42.2)14 (48.3)0.558
     Diabetes24 (17.4)20 (18.3)4 (13.8)0.545
     Coronary heart disease22 (15.9)16 (14.7)6 (20.7)0.617
     Renal insufficiency14 (10.1)8 (7.3)6 (20.7)0.077
     Chronic lung disease10 (7.2)8 (7.3)2 (6.9)1.000
     Cerebrovascular disease10 (7.2)5 (4.6)5 (17.2)0.053
     Malignant tumor8 (5.8)5 (4.6)3 (10.3)0.238
    Presence of co-morbidities, n (%)0.084
     052 (37.7)42 (38.5)10 (34.5)
     140 (29.0)37 (33.9)3 (10.3)
     232 (23.2)21 (19.3)11 (37.9)
     ≥ 314 (10.1)9 (8.2)5 (17.2)
    Surgery history within 6 months, n (%)5 (3.6)5 (4.6)0 (0)0.538
    Signs and symptoms, n (%)
     Any138 (100)109 (100)29 (100)1.000
     Fever117 (84.8)90 (82.6)27 (93.1)0.266
     Highest temperature, °C0.053
      37.3−38.0 37 (31.6)24 (26.7)13 (48.1)
      38.1−39.0 64 (54.7)51 (56.7)13 (48.1)
      > 39.0 16 (13.7)15 (16.7)1 (3.7)
     Cough or sputum production111 (80.4)81 (93.5)20 (69.0)0.080
     Chest distress/dyspnea87 (63.0)67 (61.5)20 (69.0)0.457
     Fatigue88 (63.8)69 (63.3)19 (65.5)0.825
     Breathlessness or wheezing73 (52.9)55 (50.5)18 (62.1)0.266
     Diarrhea16 (11.6)14 (12.8)2 (6.9)0.574
     Nausea or vomiting3 (2.2)2 (1.8)1 (3.4)0.510
    Ventilation mode at admission, n (%)0.229
     Inhaling oxygen121 (87.7)97 (89.0)24 (82.7)
     Mechanical ventilation 15 (10.9) 10 (9.2) 5 (17.2)
      Note. Data are presented by number (%) or mean ± SD. P values were calculated by t-test, χ2-test, Mann-Whitney test, or Fisher’s exact test, as appropriate. COVID-19, coronavirus disease 2019; SD, standard deviation.

    Table 1.  General characteristics of severe COVID-19 patients at baseline

    Five different antiviral drugs were used in the antiviral group. Ribavirin (36.2%) and oseltamivir (32.6%) were the antiviral drugs used most often, followed by abidor (16.7%), interferon (11.6%), and lopinavir/ritonavir (5.1%; Supplementary Table S2, available in www.besjournal.com). The duration of antiviral treatment varied with the drug used, ranging from 3 days for lopinavir/ritonavir to 9 days for interferon. The majority of patients [85 (78.0%)] were treated with one antiviral drug.

    Antiviral treatmentTotal (n = 138)
    Drugs and use109 (79.0)
     Ribavirin50 (36.2)
      Dose, median (range), g/d0.8 (0.4–1.5)
      Duration of therapy, median (range), d5 (1–10)
     Oseltamivir45 (32.6)
      Dose, mg/d150
      Duration of therapy, median (range), d5 (2–13)
     Abidor23 (16.7)
      Dose, median (range), g/d0.4 (0.4–0.6)
      Duration of therapy, median (range), d6 (3–14)
     Interferon16 (11.6)
      Dose, median (range), million IU/d8 (6–10)
      Duration of therapy, median (range), d9 (1–15)
     Lopinavir/ritonavir7 (5.1)
      Dose, mg/d800
      Duration of therapy, median (range), d3 (2–8)
    Therapy strategy
     Monotherapy85 (61.6)
     Combined therapy24 (15.9)
      Note. Data are presented by number (%) or median (range). COVID-19, coronavirus disease 2019; d, day(s).

    Table S2.  Antiviral treatment in severe COVID-19 patients

    In the control group, the primary treatment involved antibiotics (93.1%), followed by glucocorticoids (62.1%) and vasoactive drugs (34.5%). Patients in the antiviral group also received antibiotics (97.2%), glucocorticoids (73.4%) and vasoactive drugs (30.4%) (Supplementary Table S3, available in www.besjournal.com). Only the duration of glucocorticoid therapy was significantly different between the antiviral and control groups (P < 0.05). The median duration of glucocorticoid therapy in the antiviral group was 4.0 days (IQR: 2.0–9.0) and 8.0 days (IQR: 3.8–15.3) in the control group. Moreover, the frequency of high-flow oxygen use in the antiviral group was significantly less than the control group (28.4% vs. 48.3%, P < 0.05). The non-invasive ventilation utilization rate in the antiviral group was also significantly less than the control group (28.4% vs. 51.7%, P < 0.05), while the invasive mechanical ventilation utilization rates were similar in both groups (51.4% vs. 58.6%, P > 0.05).

    TreatmentsTotal (n = 138)Antiviral treatmentP
    Yes (n = 109)No (n = 29)
    Antibiotics133 (96.4)106 (97.2)27 (93.1)0.615
    Glucocorticoids98 (71.0)80 (73.4)18 (62.1)0.232
     Initial dose, median (IQR), mg/d40 (40–80)40 (40–80)40 (40–60)0.554
     Duration of therapy, median (IQR), d4 (2–9)4 (2–9)8 (3.75–15.25)0.014
    Vasoactive drugs42 (30.4)32 (29.4)10 (34.5)0.594
     Duration of therapy, median (IQR), d4 (0.75–9.25)4 (0.25–7.75)4.5 (0.75–11)0.592
    High-flow oxygen therapy45 (32.6)31 (28.4)14 (48.3)0.043
    Non-invasive ventilation46 (33.3)31 (28.4)15 (51.7)0.018
    Invasive mechanical ventilation73 (52.9)56 (51.4)17 (58.6)0.487
    Prone position ventilation12 (8.7)9 (8.3)3 (10.3)1.000
    CRRT7 (5.1)4 (3.7)3 (10.3)0.327
     Duration of therapy, median (IQR), d2 (0–8)3 (1.25–7.75)0 (0–0)0.285
      Note. Data are presented by number (%) or median (IQR). P values were calculated by χ2-test, Mann-Whitney test, or Fisher’s exact test, as appropriate. COVID-19, coronavirus disease 2019; IQR, interquartile range; d, days.

    Table S3.  Application of other treatments in severe COVID-19 patients

    Sixty-three patients (45.7%) died during hospitalization and 75 (54.3%) were discharged to home in stable condition. The case-fatality rates were similar between the antiviral and control groups (44.0% vs. 51.7%, P > 0.05; Supplementary Table S4, available in www.besjournal.com). Moreover, the length of hospitalization among the patients with severe COVID-19 in the antiviral group (median: 11.0, IQR: 6.5–18.0) was similar to the control group (median: 16, IQR: 8.5–26.0, P > 0.05; Supplementary Table S4 and Figure 1A). The in-hospital survival time did not differ significantly between these two groups (Figure 1B). The length of hospitalization among the surviving patients were not statistically different between the two groups (Figure 1C). In addition, the survival analyses stratified by combined treatments were not significantly different with respect to survival time or length of hospital stay between the antiviral and control groups (Supplementary Figures S1S3, available in www.besjournal.com).

    Figure 1.  Kaplan-Meier curves of antiviral treatment in all patients (A), deaths (B), and surviving patients (C)

    VariablesTotal (n = 138)Antiviral treatmentP
    Yes (n = 109)No (n = 29)
    Outcomes
     Death63 (45.7)48 (44.0)15 (51.7)0.460
     Duration of hospitalization11 (7.75–19.25)11 (6.5–18.0)16 (8.5–26.0)0.339
     ICU admission131 (94.9)106 (97.2)25 (86.2)0.053
     Mechanical ventilation73 (52.9)56 (51.4)17 (58.6)0.487
    Complications
     Respiratory failure105 (76.1)85 (78.0)20 (69.0)0.312
     ARDS70 (50.7)59 (54.1)11 (37.9)0.121
     Sepsis48 (34.8)44 (40.4)4 (13.8)0.008
     Acute cardiac injury38 (27.5)30 (27.5)8 (27.6)0.995
     Acute liver injury36 (26.1)29 (26.6)7 (24.1)0.788
     Acute kidney injury31 (22.5)26 (23.9)5 (17.2)0.448
     Septic shock24 (17.4)22 (20.2)2 (6.9)0.093
     DIC11 (8.0)6 (5.5)5 (17.2)0.091
     Arrhythmias10 (7.2)10 (9.2)0 (0.0)0.197
     Gastrointestinal bleeding7 (5.1)6 (5.5)1 (3.4)1.000
     Acute cerebrovascular disease5 (3.6)5 (4.6)0 (0.0)0.538
      Note. Data are presented by number (%). P values were calculated by χ2-test or Fisher’s exact test, as appropriate. ARDS, acute respiratory distress syndrome; COVID-19, coronavirus disease 2019; DIC, disseminated intravascular coagulation; ICU, intensive care unit.

    Table S4.  Outcomes and complications of severe COVID-19 patients

    Cox regression analysis was used to assess risk of death in patients. Antiviral treatment was not significantly associated with risk of death in patients with severe COVID-19 in the multivariate model (HR = 2.123, 95% CI: 0.880–5.122; Table 2). We also found that no other treatments reduced the risk of death from severe COVID-19, which may be due to the small sample size of surviving patients.

    VariablesβSEWaldPHR95% CI
    Antiviral treatment0.7530.4492.8100.0942.1230.880–5.122
    Renal insufficiency0.0900.5790.0240.8771.0940.352–3.400
    Cerebrovascular disease1.0820.5613.7200.0542.9490.983–8.852
    Presence of co-morbidities
     0Ref
     1−1.1240.4546.1460.0130.3250.134–0.790
     2−0.0370.4830.0060.9400.9640.374–2.486
     ≥ 3−0.5360.8490.3980.5280.5850.111–3.089
    Highest temperature, ℃ 
     37.3−38.0 Ref
     38.1−39.0 −0.3490.4190.6920.4050.7050.310–1.605
     > 39.0 −0.3540.4920.5190.4710.7020.268–1.840
    Cough or sputum production0.0250.4210.0030.9531.0250.449–2.340
    High-flow oxygen therapy0.3420.3610.9000.3431.4080.694–2.855
    Non-invasive ventilation0.7480.3963.5670.0592.1140.972–4.595
    Duration of glucocorticoids therapy−0.0380.0242.4060.1210.9630.919–1.010
      Note. CI, confidence interval; COVID-19, coronavirus disease 2019; HR, hazard ratio; Ref, reference; SE, standard error.

    Table 2.  Risk analysis of death in patients with severe COVID-19 in the multivariate Cox model

    Our study showed that the risk of mortality during the clinical course among patients with severe COVID-19 infection did not improve with the use of antiviral drugs. Indeed, oseltamivir has no documented activity against SARS-CoV-2 in vitro[3]. In a single-center case series no benefit of oseltamivir treatment was reported[4]. In addition, one randomized controlled trial showed that antiviral drugs (lopinavir–ritonavir) did not accelerate clinical improvement, reduce mortality, or diminish the detection of throat viral RNA in patients with severe COVID-19 infection[5]. However, the clinical effects of antiviral treatment are still a matter of debate. A study involving molecular docking confirmed the effectiveness of ribavirin, remdesivir, sofosbuvir, galidesivir, and tenofovir as potent drugs in treating SARS-CoV-2 infection[6]. Numerous antiviral drugs, including atazanavir, remdesivir, efavirenz, ritonavir, lopinavir, and darunavir, have inhibitory effects against SARS-CoV-2 in drug-target interaction deep learning models[7], and interferon has been shown to be effective in the treatment of early-stage COVID-19 infections[8]. Our study, however, showed that the risk of mortality and clinical course in patients with severe COVID-19 infections did not improve with the use of antiviral drugs.

    One hundred thirty-one patients (94.9%) were admitted to the ICU [106 (97.2%) from the antiviral group and 25 (86.2%) from the control group; Supplementary Table S4]. The length of ICU stay among patients with severe COVID-19 in the antiviral group was significantly shorter than the control group [median (IQR), 9 (3–14) days vs. 15 (7–23.5) days, P < 0.05; Supplementary Figure S4A, available in www.besjournal.com]. The length of ICU stay culminating in death was shorter in the antiviral group (median: 7.0 days, IQR: 3.0–14.3 days) than the control group (median: 15.5 days, IQR: 8.3–21.8 days, P < 0.05; Supplementary Figure S4B). The length of ICU stay among surviving patients was similar in both groups (Supplementary Figure S4C). Fifty-six (51.4%) and 17 (58.6%) patients received mechanical ventilation in the antiviral and control groups, respectively. The rates of ICU admission, mechanical ventilation, and the length of mechanical ventilation did not differ between the two groups (P > 0.05; Supplementary Table S4 and Supplementary Figure S5, available in www.besjournal.com).

    Figure S4.  Length of ICU stay by antiviral treatment in all patients (A), deaths (B), and surviving patients (C). ICU, intensive care unit.

    Figure S5.  Length of mechanical ventilation by antiviral treatment in all patients (A), deaths (B), and surviving patients (C).

    One hundred twenty patients (87.0%) developed complications [99 patients (90.8%) were in the antiviral group and 21 (72.4%) in the control group]. Respiratory failure (76.1%) was the most common complication, followed by ARDS (50.7%), sepsis (34.8%), acute cardiac injury (27.5%), acute liver injury (26.1%), acute kidney injury (22.5%), septic shock (17.4%), DIC (8.0%), arrhythmias (7.2%), gastrointestinal bleeding (5.1%), and acute cerebrovascular disease (3.6%; Supplementary Table S4). Only the incidence of sepsis was significantly greater in the antiviral group compared with the control group (40.4% vs. 13.8%, P < 0.01). The incidence of the remaining complications was similar in both groups (Supplementary Table S4).

    The incidence of sepsis was higher in the antiviral group in our study. Although bacterial infections are usually regarded as a leading cause of sepsis, one study suggested that viral infections may also cause sepsis syndrome[9]. In patients with severe COVID-19 infections, alveolar macrophages produce various pro-inflammatory cytokines and chemokines in response to SARS-CoV-2 infection[10]. Indeed, viral infections might lead to increased macrophage infiltration and the immune pathogenesis caused by a systemic cytokine storm[10], leading to viral sepsis, multiple organ dysfunction, and even death.

    Our historical cohort study had some limitations. First, an antiviral drug use history was used to determine antiviral treatment exposure, while the assignment of antiviral treatment was subject to the situation and environment of the hospital. The full extent of exposure may not have been captured. Second, our study did not analyze the antiviral effect on virus status among patients with severe COVID-19 because we did not perform viral load testing. Third, a small sample size in the control group may have resulted in an imbalance between the antiviral and control groups. Finally, our findings were based on a historical cohort study. Randomized controlled trials involving antiviral drugs with multiple study sites should be planned to better evaluate the effectiveness of antiviral drugs in patients with severe COVID-19 infection.

    In conclusion, no clinical benefit was demonstrated in patients with severe COVID-19 infection receiving antiviral treatment. Randomized controlled trials to better assess the efficacy of antiviral treatment in patients with severe COVID-19 infection should not be delayed.

    Authors’ Contributors ZGZ, WJX, YZ, and QH conceived and designed the study. LYY, RNL, MM, ZZH, LH, and XZX performed data extraction from the electric medical records system. GYD, HFH, PW, LYY, XJW, and XLZ performed data analysis and figure illustrations. XLZ, GYD, HFH, and WJX discussed the data and wrote the manuscript. ZGZ, WJX, YZ, and QH supervised the study. All authors approved the final draft for submission.

    Acknowledgments The authors thank Mrs. Yu Yang, Wei Fan, and Xiaopeng Tu for their assistance in sample collection.

    Ethics Approval and Consent to Participate This study was approved by the Ethics Committees of Zhongnan Hospital of Wuhan University, Wuhan Third Hospital, Union Jiangbei Hospital, and the First People's Hospital of Jiangxia District. Written informed consent was obtained from all the patients’ legal representatives in accordance with the ethical standards of the Ethics Committees of Zhongnan Hospital of Wuhan University, Wuhan Third Hospital, Union Jiangbei Hospital, and the First People's Hospital of Jiangxia District.

    Confilects of Interest The authors have no conflicts of interest to disclose.

    Figure S1.  Adjusted Kaplan-Meier curves of antiviral treatment stratified by duration of glucocorticoid therapy. (A) Kaplan-Meier curves of surviving patients stratified by duration of glucocorticoid therapy ≤ 4 days, (B) Kaplan-Meier curves of surviving patients stratified by duration of glucocorticoid therapy > 4 days, (C) Kaplan-Meier curves of deaths stratified by duration of glucocorticoid therapy ≤ 4 days, and (D) Kaplan-Meier curves of deaths stratified by duration of glucocorticoid therapy > 4 days.

    Figure S2.  Adjusted Kaplan-Meier curves of antiviral treatment stratified by high-flow oxygen therapy. (A) Kaplan-Meier curves of surviving patients without high-flow oxygen therapy, (B) Kaplan-Meier curves of surviving patients with high-flow oxygen therapy, (C) Kaplan-Meier curves of deaths without high-flow oxygen therapy, and (D) Kaplan-Meier curves of deaths with high-flow oxygen therapy.

    Figure S3.  Adjusted Kaplan-Meier curves of antiviral treatment stratified by non-invasive ventilation. (A) Kaplan-Meier curves of surviving patients without non-invasive ventilation, (B) Kaplan-Meier curves of surviving patients with non-invasive ventilation, (C) Kaplan-Meier curves of deaths without non-invasive ventilation, and (D) Kaplan-Meier curves of deaths with non-invasive ventilation.

    ItemTotal (n = 138)Antiviral treatmentP
    Yes (n = 109)No (n = 29)
    Vital signs
     Systolic blood pressure (mmHg; normal range 90–140)130 (120–140)130 (120–140)130.5 (110.5–141.5)0.720
      Increased1 (0.7)1 (0.9)0 (0.0)0.670
      Decreased30 (21.7)23 (21.1)7 (24.1)
     Diastolic blood pressure (mmHg; normal range 60–90)80 (70–85)80 (72–84.75)74.5 (64.25–86)0.247
      Increased7 (5.1)6 (5.5)1 (3.4)0.932
      Decreased11 (8.0)9 (8.3)2 (6.9)
     Heart rate (beats per minute; normal range 60–100)90 (80–101)90 (80-101)88 (80–100)0.635
      Increased35 (25.4)30 (27.5)5 (17.2)0.258
     Axillary temperature (℃; normal range 36.2–37.3)36.8 (36.5–37.7)36.8 (36.6–37.7)37.0 (36.5–37.8)0.885
      Increased50 (36.2)36 (33.0)14 (48.3)0.129
     Respiratory rate (breaths per minute; normal range 12–20)23 (20–27)23 (20–26)23 (20–29.5)0.318
      21–2962 (45.6)49 (45.4)13 (46.4)0.165
      ≥ 3023 (16.9)16 (14.8)7 (25.0)
     Oxygen saturation (%; normal range ≥ 94)89 (84.75–95)89.5 (85–94)88.5 (83.25–95.75)0.664
      Decreased100 (72.5)80 (73.4)20 (69.0)0.635
    Laboratory findings
     Leucocytes (109/L; normal range 3.5–9.5)7.68 (5.20–11.05)6.79 (4.75–10.90)8.10 (6.79–11.25)0.088
      Increased43 (31.4)33 (30.6)10 (34.5)0.661
      Decreased11 (8.0)9 (8.3)2 (6.9)
     Neutrophils (109/L; normal range 1.8–6.3)6.47 (3.86–9.89)6.09 (3.44–9.93)7.24 (5.36–9.99)0.086
      Increased72 (52.6)52 (48.1)20 (69.0)0.043
     Lymphocytes (109/L; normal range 1.1–3.2)0.58 (0.36–0.92)0.58 (0.36–0.89)0.63 (0.34–1.22)0.477
      < 1.0111 (81.0)90 (83.3)21 (72.4)0.183
      ≥ 1.026 (19.0)18 (16.7)8 (27.6)
     Erythrocyte (1012/L; normal range 4.3–5.8)4.00 (3.65–4.49)4.05 (3.66–4.51)3.92 (3.43–4.39)0.192
      Decreased92 (67.2)71 (65.7)21 (72.4)0.453
     Haemoglobin (g/L; normal range 130–175)121 (108–131)121 (108–134)118 (105–126)0.365
      Decreased101 (73.7)77 (71.3)24 (82.8)0.209
     Platelet count (109/L; normal range 125–350)172.0 (118.0–237.5)173.0 (127.0–240.3)164.0 (98.5–212.5)0.307
      Decreased35 (25.5)26 (24.1)9 (31.0)0.341
     Procalcitonin (ng/mL; normal range < 0.5)0.28 (0.06–1.28)0.28 (0.06–1.29)0.46 (0.05–1.23)0.786
      Increased59 (44.4)46 (44.2)13 (44.8)0.954
     IL-6 (pg/mL; normal range 0.0–7.0)0 (0–5.77)0 (0-0)62.13 (2.43–86.22)< 0.001
      Increased10 (23.8)3 (9.4)7 (70.0)< 0.001
     ESR (mm/h; normal range 0.0–15.0)45 (26–63)43 (23–55)45 (35–75)0.458
      Increased25 (86.2)16 (88.9)9 (81.8)1.000
     D-dimer (ng/mL; normal range 0.0–500.0)1.90 (0.52–6.21)1.11 (0.41–5.03)71.15 (2.44–2197.00)< 0.001
      Increased12 (9.9)2 (2.2)10 (35.7)< 0.001
     Fibrinogen (mg/dL; normal range 238–498)4.17 (3.01–5.43)3.85 (2.86–5.01)182.50 (4.15–453.50)< 0.001
      Increased7 (5.6)3 (3.0)4 (15.4)< 0.001
      Decreased106 (84.8)92 (92.9)14 (53.8)
     ALT (U/L; normal range 9.0–50.0)33.95 (22.63–48.75)35.00 (23.00–52.00)30.00 (20.00–42.5.)0.310
      Increased32 (23.5)28 (26.2)4 (13.8)0.163
     AST (U/L; normal range 15.0–40.0)39.4 (28.40–59.443)41.0 (28.6–59.9)36.0 (5.9–10.2)0.518
      Increased65 (47.8)54 (50.5)11 (37.9)0.282
     TBLI (μmol/L; normal range 5.0–21.0)10.85 (7.48–16.65)10.50 (7.50–16.51)13.00 (7.44–18.30)0.314
      Increased19 (14.0)15 (14.0)4 (13.8)0.771
     Albumin (g/L; normal range 40.0–55.0)33.00 (29.43–36.00)33.10 (29.80–36.20)31.10 (27.80–33.05)0.013
      Decreased125 (91.9)97 (90.7)28 (96.6)0.516
     Creatinine (μmol/L; normal range 64.0–104.0)78.90 (57.73–105.30)78.80 (58.80–105.40)79.00 (46.70–101.75)0.557
      Increased36 (26.5)29 (27.1)7 (24.1)0.679
     BUN (mmol/L; normal range 2.8–7.6)6.66 (4.88–10.07)6.60 (4.90–8.90)7.35 (4.30–17.72)0.508
      Increased51 (37.5)37 (34.6)14 (48.3)0.290
      hs-cTnI (pg/mL; normal range 0.0–26.2)0.03 (0.01–0.29)0.02 (0.01–0.10)1.02 (0.01-131.10)0.002
      Increased7 (6.2)4 (4.7)3 (11.1)0.449
     Blood glucose (mmol/L; normal range 3.9–6.1)7.01 (5.89–10.17)6.90 (5.89–10.40)7.30 (5.87–10.17)0.930
      Increased83 (68.6)66 (69.5)17 (65.4)0.827
     pH (normal range 7.35–7.45)7.42 (7.36–7.46)7.42 (7.36–7.46)7.43 (7.31–7.46)0.670
      Increased30 (28.3)26 (28.6)4 (26.7)0.745
      Decreased24 (22.6)20 (22.0)4 (26.7)
     PaO2 (mmHg; normal range 80–100)68.35 (46.75–81.73)68.40 (47.00–81.60)60.00 (40.00–96.00)0.680
      Decreased76 (71.7)65 (71.4)11 (73.3)0.954
     PaCO2 (mmHg; normal range 35–45)39.50 (33.70–48.05)39.10 (33.70–47.70)41.90 (33.60–57.00)0.379
      Increased34 (32.4)28 (31.1)6 (40.0)0.606
     HCO3- (mmol/L; normal range 21.4–27.3)24.50 (18.70–29.25)24.75 (20.90–29.18)21.00 (16.50–30.10)0.174
      Increased43 (41.0)38 (42.2)5 (33.3)0.123
      Decreased30 (28.6)22 (24.4)8 (53.3)
     Lactate (mmol/L; normal range 0.5–1.6)2.26 (1.50–3.10)2.26 (1.50–3.15)2.10 (1.36–3.08)0.693
      Increased68 (68.7)62 (69.7)6 (60.0)0.575
      Note. Data are presented by number (%) or median (IQR). P values were calculated by Mann-Whitney test, χ2-test, or Fisher’s exact test, as appropriate. ALT, alanine aminotransferase; AST, aspartate aminotransferase; BUN, blood urea nitrogen; COVID-19, coronavirus disease 2019; ESR, erythrocyte sedimentation rate; HCO3-, bicarbonate concentration; IL-6, interleukin-6; IQR, interquartile range; hs-cTnI, high sensitivity troponin; PaO2, partial pressure of oxygen in artery; PaCO2, partial pressure of carbon dioxide in artery; pH, potential-of-hydrogen; TBLI, total bilirubin. Denominator used for calculating the percentage may not be the total number because of missing data.

    Table S1.  Vital signs and laboratory findings of severe COVID-19 patients at admission

Reference (10)
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