Literature DB >> 32430428

Factors associated with prolonged viral shedding and impact of Lopinavir/Ritonavir treatment in hospitalised non-critically ill patients with SARS-CoV-2 infection.

Dan Yan1, Xiao-Yan Liu1, Ya-Nan Zhu2, Li Huang2, Bi-Tang Dan1, Guo-Jun Zhang3, Yong-Hua Gao3.   

Abstract

BACKGROUND: The duration of viral shedding is central to guide the decisions of isolation precautions and antiviral treatment. However, studies regarding the risk factors associated with prolonged SARS-CoV-2 shedding and the impact of Lopinavir/Ritonavir (LPV/r) treatment on viral shedding remain scarce.
METHODS: Data were collected from all SARS-CoV-2 infected patients who were admitted to isolation wards and had reverse transcription polymerase chain-reaction conversion at the No.3 People's Hospital of Hubei province between 31 January and 09 March 2020. We compared clinical characteristics and SARS-CoV-2 RNA shedding between patients initiated with LPV/r treatment and those without. Logistic regression analysis was employed to evaluate the risk factors associated with prolonged viral shedding.
RESULTS: Of 120 patients, the median age was 52 years, 54 (45%) were male and 78 (65%) received LPV/r treatment. The median duration of SARS-CoV-2 RNA detection from symptom onset was 23 days (IQR, 18-32 days). Older age (odd ratio [OR] 1.03, 95% confidence interval [CI] 1.00-1.05, p=0.03) and the lack of LPV/r treatment (OR 2.42, 95% CI 1.10-5.36, p=0.029) were independent risk factors of prolonged SARS-CoV-2 RNA shedding. Patients who initiated LPV/r treatment within 10 days from symptom onset, but not initiated from day 11 onwards, had significantly shorter viral shedding duration compared with those without LPV/r treatment (median 19 days versus 28.5 days, Log-rank p<0.001).
CONCLUSION: Older age and the lack of LPV/r treatment were independently associated with prolonged SARS-CoV-2 RNA shedding in patients with COVID-19. Earlier administration of LPV/r treatment could shorten viral shedding duration.
Copyright ©ERS 2020.

Entities:  

Year:  2020        PMID: 32430428      PMCID: PMC7241115          DOI: 10.1183/13993003.00799-2020

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused substantial morbidity and mortality worldwide [1-5]. The evidence pertaining to the epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19) has been emerging rapidly [2-7]. However, few studies have evaluated the duration of viral shedding, which has important implications for guiding the clinical decisions regarding isolation precautions and antiviral treatment in patients with COVID-19 [7, 8]. Factors associated with prolonged duration of viral shedding remain elusive. A recent randomised controlled trial showed that lopinavir/ritonavir (LPV/r) treatment could not provide additional benefits beyond standard-of-care (including in relation to viral shedding) in hospitalised severely ill patients with COVID-19 [9]. However, a post hoc subgroup analysis found that earlier administration of LPV/r treatment accelerated the clinical recovery and reduced mortality [9]. Therefore, it remains crucial to determine whether adding LPV/r treatment could influence the duration of SARS-CoV-2 RNA shedding in non-critically ill patients and whether an earlier administration of LPV/r could shorten the duration of viral shedding. Thus, this study sought to assess the risk factors associated with prolonged viral shedding and the potential impact of earlier administration of LPV/r treatment on the duration of viral shedding in hospitalised non-critically ill patients with SARS-CoV-2 infection between 31 January and 9 March 2020.

Methods

Participants and data collection

This retrospective study included all patients who were admitted to the No. 3 People's Hospital of Hubei province (one of the designated hospitals during the COVID-19 outbreak in Wuhan, China) between 31 January 2020 and 9 March 2020. Eligible patients had laboratory-confirmed SARS-CoV-2 infection and had available RNA virological data to estimate the duration of viral shedding. Demographic, clinical, laboratory, treatment and successive virological data were extracted from electronic medical records using a standardised data collection sheet that was modified based on the World Health Organization/International Severe Acute Respiratory and Emerging Infection Consortium case record form. We assessed the severity of illness according to the Chinese management guideline for COVID-19 (sixth version) [10], and used four classes of severity, as follows. 1) “Mild” represented patients with mild clinical symptoms and no pneumonia on chest imaging. 2) “General” represented patients with clinical symptoms (i.e. fever and respiratory tract symptoms) and pneumonia on chest imaging. 3) “Severe” represented adults who met any of the following criteria: respiratory rate ≥30 breaths·min−1, resting oxygen saturation ≤93% while breathing room air, arterial oxygen tension (PaO)/inspiratory oxygen fraction (FIO) ≤300 mmHg, and/or >50% lesion progression within 24–48 h on chest imaging. 4) “Critical” represented adults who met any of the following criteria: development of respiratory failure that required mechanical ventilation, occurrence of shock, and/or other organ failure requiring admission to the intensive care unit. The duration of temperature recovery was defined as the duration between the date of symptom onset and the date when the patient's axillary temperature returned to 37.3°C or below without an increase thereafter. The duration of radiological recovery was defined as the duration between the date of symptom onset and the date when the patient's radiological abnormalities were improved without appearance of new radiological lesions at other sites. We also collected the dose and duration of LPV/r treatment. All data were double-checked by two physicians (D. Yan and X-Y. Liu), with any discrepancy being resolved by consensus discussion (D. Yan, X-Y. Liu and Y-H. Gao). The institutional review board of the No. 3 People's Hospital of Hubei province approved the study, and patient-level informed consent was waived.

Virological investigations

Laboratory identification of SARS-CoV-2 infection was made at Wuhan Jinyintan Hospital and No. 3 People's Hospital of Hubei province using a real-time reverse transcription PCR (RT-PCR) assay. The same methods as previously described were adopted, in which the detection reagents were provided by the local Center for Disease Control [2, 3]. After admission, throat-swab specimens were collected and sent for the re-detection of SARS-CoV-2 RNA using RT-PCR assays every 2 days after symptom remission (including fever, cough and dyspnoea). Quantitative virological data were not available. The duration of viral shedding was defined as the interval from the date of symptom onset to the date when SARS-CoV-2 was undetectable from two consecutive throat-swab specimens (≥24 h apart), without converting positive thereafter. Corticosteroid treatment referred to the administration of methylprednisolone at a dose equivalent to ≥25 mg·day−1 during hospitalisation.

Lopinavir/ritonavir treatment

LPV/r (400 mg and 100 mg, orally, twice daily) was administered to the laboratory-confirmed cases at the discretion of the attending physicians at every isolation ward. The treatment duration was ≥10 days, according to the recommendations from the Chinese management guideline for COVID-19 (sixth version) [10]. Exposure to LPV/r was defined as having received at least one dosage of LPV/r.

Statistical analysis

Data are presented as median (interquartile range (IQR)) for continuous variables and number (percentage) for categorical variables. We employed the Mann–Whitney U-test or Kruskal–Wallis test for analysis of continuous variables, and the Chi-squared test or Fisher exact test for analysis of categorical variables. Univariate and adjusted multivariate logistic regression analyses were used to identify the risk factors associated with prolonged duration of SARS-CoV-2 RNA shedding. Prolonged viral shedding was defined as the duration of SARS-CoV-2 RNA shedding being >23 days. The cut-off was determined a priori based on the median duration of viral shedding. Outcomes were defined as the initial time-point from symptom onset to SARS-CoV-2 RNA assay negativity, which required an undetectable RNA from two consecutive throat-swab specimens (≥24 h apart) and without conversion to a positive test thereafter. Variables used for the analysis of prolonged viral shedding included age, sex, smoking status, comorbidities (including diabetes, hypertension and cardiac disease), corticosteroid treatment and LPV/r treatment. Analysis was also performed using a Cox proportional hazard model to assess the risk factors for prolonged SARS-CoV-2 RNA shedding. We employed Kaplan–Meier survival analysis to estimate the cumulative SARS-CoV-2 RNA-negativity rate and the stratified log-rank statistic to compare the difference in SARS-CoV-2 RNA clearance. All statistical analysis was performed using SPSS version 22.0 software (IBM, Armonk, NY, USA). A two-tailed p-value of <0.05 was regarded as statistically significant.

Results

Patient characteristics

From 31 January 2020 to 9 March 2020, 168 confirmed cases were admitted to our hospital. As of 9 March 2020, a total of 48 patients (28.6%) still tested positive for SARS-CoV-2 RNA and eight patients (4.8%) had died. The main characteristics of the patients who were included in and excluded from the final analyses are provided in supplementary table E1. There was no notable selection bias between the two groups. Thus, 120 patients (71.4%) who had a conversion of SARS-CoV-2 RNA shedding were included in the final analysis. All the respiratory specimens tested were derived from throat swabs. Table 1 shows the main characteristics of the 120 patients who were included in the final analysis. Of these, the median age was 52 years. 54 patients (45%) were male, and 12 (10%) were current smokers. The common comorbidities included hypertension (32 (26.7%)), diabetes (10 (8.3%)) and cardiac disease (7 (5.8%)). 89 patients (74.2%), 30 patients (25%) and one patient (0.8%) were categorised as having general, severe and critical COVID-19, respectively. 54 patients (45%) received systemic corticosteroid treatment and 78 (65%) received LPV/r treatment. The median duration of recovery of the body temperature and radiological manifestations from illness onset were 10 days and 17 days, respectively. The median length of stay in hospital was 21 days.
TABLE 1

Characteristics of 120 hospitalised patients with SARS-CoV-2 infection in Wuhan

CharacteristicTotal patientsDays to negativityp-value#
≤23>23
Patients1206159
Age years52 (35–63)48 (33–60)56 (42–65)0.04
Male sex54 (45)30 (49.2)24 (40.7)0.35
Current smoker12 (10)5 (8.2)7 (11.9)0.50
Comorbidity
 Hypertension32 (26.7)19 (31.1)13 (22.0)0.26
 Diabetes10 (8.3)3 (4.9)7 (11.9)0.20
 Cardiac disease7 (5.8)3 (4.9)4 (6.8)0.72
 Stroke3 (2.5)1 (1.6)2 (3.4)0.62
 COPD or asthma2 (1.6)2 (3.2)0 (0)
 Chronic renal insufficiency1 (0.8)01 (1.7)
 Malignancy7 (5.8)4 (6.6)3 (5.1)0.73
Disease severity0.36
 General89 (74.2)48 (78.7)41 (69.5)
 Severe30 (25.0)13 (21.3)17 (28.8)
 Critical1 (0.8)0 (0)1 (1.7)
Laboratory findings on admission+
 White blood cell count ×109 cells·L−15.65 (4.14–7.33)0.57
  <427 (22.7)16 (26.7)11 (18.6)
  4–1082 (68.9)39 (65)43 (72.9)
  >1010 (8.4)5 (8.3)5 (8.5)
 Lymphocyte count ×109 lymphocytes·L−11.14 (0.81–1.55)
  <0.829 (24.3)18 (62.1)11 (37.9)0.15
 Platelet count ×109 platelets·L−1195 (144–269)
  <1007 (5.9)5 (4.2)2 (1.0)0.44
 Creatinine level μmol·L−161 (52–74)
  >1334 (3.4)0 (0)4 (3.4)
 AST level U·L−131 (24–42.4)
  >4033 (27.7)14 (11.8)19 (16.0)0.18
Treatment
 Corticosteroid therapy54 (45.0)28 (45.9)26 (44.1)0.78
 Lopinavir/ritonavir treatment78 (65)46 (75.4)33 (55.9)0.02
 Antibiotics102 (85.0)52 (85.2)50 (84.7)0.77
 High-flow nasal canula oxygen therapy21 (17.5)10 (16.4)11 (18.6)0.88
 Noninvasive mechanical ventilation2 (1.7)0 (0)2 (3.4)
 Invasive mechanical ventilation1 (0.8)0 (0)1 (1.7)
Outcome
 Viral shedding days23 (18–32)18 (15–20.5)32 (28–38)<0.001
 Symptom onset to temperature recovery days§10 (6–15.5)7.5 (5–11)12 (8–20)<0.001
 Symptom onset to radiological recovery days17 (12–21)13.5 (11–18)20 (12–24)<0.001
 Hospital length of stay days21 (17–26)20 (15–24)22 (18–28)0.02

Data are presented as n, median (interquartile range) or n (%), unless otherwise stated. AST: aspartate aminotransferase. #: p-value represents comparisons between patients with prolonged viral shedding and those without; ¶: includes congestive heart disease and coronary atherosclerotic heart disease; +: data were available for 119 patients; §: data were from 99 patients.

Characteristics of 120 hospitalised patients with SARS-CoV-2 infection in Wuhan Data are presented as n, median (interquartile range) or n (%), unless otherwise stated. AST: aspartate aminotransferase. #: p-value represents comparisons between patients with prolonged viral shedding and those without; ¶: includes congestive heart disease and coronary atherosclerotic heart disease; +: data were available for 119 patients; §: data were from 99 patients.

Duration of viral shedding and risk factors

The median duration of SARS-CoV-2 RNA shedding was 23 days (IQR 18–32 days). Only five patients (4.2%) had undetectable SARS-CoV-2 RNA within 10 days, 46 (38.3%) tested negative within 20 days, and 85 (70.8%) tested negative within 30 days from symptom onset. Most patients (86.7%) had undetectable SARS-CoV-2 RNA within 37 days after symptom onset, but a subgroup of 12 patients had detectable SARS-CoV-2 RNA up to 40 days after symptom onset (figure 1). The median duration of SARS-CoV-2 shedding did not differ significantly among the three groups with different disease severity (general 23 days versus severe 26 days versus critical 28 days; p=0.51).
FIGURE 1

Distribution of the number of patients with undetectable SARS-CoV-2 RNA by day after symptom onset.

Distribution of the number of patients with undetectable SARS-CoV-2 RNA by day after symptom onset. In our study, a duration of SARS-CoV-2 RNA shedding of >23 days (above the median) was defined as prolonged viral shedding. The main characteristics for patients with prolonged viral shedding and those without are shown in table 1. Prolonged RNA shedding was associated with a delayed recovery of radiological manifestations (median 20 days versus 13.5 days; p<0.001) and a delayed recovery of the body temperature (median 12 days versus 7.5 days; p<0.001). In the final multivariate logistic model that included all 120 patients, older age (OR 1.03, 95% CI 1.00–1.05; p=0.03) and the lack of LPV/r treatment (OR 2.42, 95% CI 1.10–5.36; p=0.029) were independent risk factors associated with prolonged SARS-CoV-2 shedding (table 2 and supplementary table E2). However, comorbidities (including current smoking, hypertension, diabetes and cardiac disease) and the administration of systemic corticosteroids were not associated with prolonged viral shedding (table 2 and supplementary table E2). Similar risk factors for prolonged SARS-CoV-2 RNA clearance were observed when the data were analysed using a Cox proportional hazards model (supplementary table E3, and supplementary figures E1 and E2).
TABLE 2

Multivariable logistic regression analysis of factors associated with duration of SARS-CoV-2 RNA detection in 120 hospitalised patients in Wuhan

VariableUnadjusted OR (95% CI)p-valueAdjusted OR (95% CI)p-value#
Demographic characteristic
 Age1.02 (1.00–1.04)0.041.03 (1.00–1.05)0.03
 Age ≥50 years2.13 (1.02–4.44)0.042.26 (1.07–4.78)0.03
 Male sex0.71 (0.34–1.46)0.350.60 (0.28–1.28)0.19
Comorbidity
 Current smoking0.86 (0.23–3.18)0.82
 Hypertension0.63 (0.28–1.42)0.26
 Cardiac disease1.41 (0.30–6.57)0.67
 Diabetes2.60 (0.64–10.59)0.18
Drug treatment
 Corticosteroid0.90 (0.44–1.85)0.780.80 (0.38–1.70)0.57
 Lack of lopinavir/ritonavir2.59 (1.19–5.62)0.022.42 (1.10–5.36)0.03

OR >1 indicates that the variable increases the duration of SARS-CoV-2 RNA shedding. ORs in multivariable analysis were adjusted for age and sex. #: by use of the logistic regression model, with the cut-off determined according to the median duration of SARS-CoV-2 RNA shedding (23 days).

Multivariable logistic regression analysis of factors associated with duration of SARS-CoV-2 RNA detection in 120 hospitalised patients in Wuhan OR >1 indicates that the variable increases the duration of SARS-CoV-2 RNA shedding. ORs in multivariable analysis were adjusted for age and sex. #: by use of the logistic regression model, with the cut-off determined according to the median duration of SARS-CoV-2 RNA shedding (23 days).

The effect of lopinavir/ritonavir treatment

Of the 120 patients, 78 patients (65%) were administered LPV/r treatment. Patients receiving LPV/r treatment and those not receiving LPV/r treatment had similar baseline characteristics (table 3). However, patients receiving LPV/r treatment were more likely to have severe COVID-19 and a larger proportion of these patients had a lymphocyte count <0.8×109 cells·L−1, compared those without LPV/r treatment. LPV/r therapy was initiated at a median of 10 days (IQR 7–13 days) from symptom onset. Figure 2 shows the distribution of time to the initiation of LPV/r treatment from symptom onset. The median duration of LPV/r treatment was 10 days (IQR 9–10 days). 61 patients (78.2%) received ≥10 days of LRV/r treatment. The median duration of SARS-CoV-2 shedding in the LPV/r treatment group was 22 days (IQR 18–29 days), which was significantly shorter than that in the group with no LPV/r treatment (28.5 days, IQR 19.5–38 days; log-rank p=0.009) (supplementary figure E3). Patients who initiated LPV/r treatment within 10 days of symptom onset had a shorter duration of SARS-CoV-2 RNA shedding compared with those without LPV/r treatment (median 19 days versus 28.5 days; log-rank p<0.0001) (figure 3a). In contrast, the median duration of viral shedding did not differ between patients who initiated LPV/r treatment >10 days from symptom onset and patients who did not receive LPV/r treatment (median 27.5 days versus 28.5 days; log-rank p=0.51) (figure 3b).
TABLE 3

Comparison of clinical features of patients with SARS-CoV-2 infection who were treated with lopinavir/ritonavir (LPV/r) and without LPV/r, in Wuhan

VariableLPV/rNo LPV/rp-value
Patients7842
Age years50 (34–61)57 (36.5–66)0.11
Male sex35 (44.9)19 (45.2)0.83
Current smoker8 (10.3)4 (9.5)0.74
Comorbidity
 Hypertension19 (24.4)13 (31.0)0.39
 Diabetes8 (10.3)2 (4.8)0.49
 Cardiac disease#5 (6.4)2 (4.8)1.00
 Stroke2 (2.6)1 (2.4)1.00
 COPD or asthma1 (1.3)1 (2.4)0.34
 Chronic renal insufficiency1 (1.3)0 (0)
 Malignancy4 (5.1)3 (7.1)0.69
Disease severity0.02
 General53 (67.9)36 (85.7)
 Severe25 (32.1)5 (11.9)
 Critical0 (0)1 (2.4)
Laboratory findings on admission
 White blood cell count ×109 cells·L−10.32
  <422 (28.2)5 (11.9)
  4–1049 (62.8)33 (78.6)
  >107 (9.0)3 (7.1)
 Lymphocyte count ×109 lymphocytes·L−1
  <0.825 (32.6)4 (9.5)0.01
 Platelet count ×109 platelets·L−1
  <1006 (7.7)1 (2.4)0.42
 Creatinine level μmol·L−1
  >1331 (1.3)3 (7.1)0.11
 AST level U·L−1
  >4021 (26.9)12 (28.6)0.87
Treatment
 Corticosteroid therapy44 (56.4)10 (23.8)0.001
 Antibiotics73 (93.6)30 (71.4)0.001
 High-flow nasal canula oxygen therapy17 (21.8)4 (9.5)0.13
 Noninvasive mechanical ventilation1 (1.3)1 (2.4)1.00
 Invasive mechanical ventilation1 (1.3)0 (0)1.00
Outcome
 Viral shedding days22 (18–29)28.5 (19.5–38)0.02
 Hospital length of stay days23 (19–27)18.5 (13–22.5)<0.01

Data are presented as n, median (interquartile range) or n (%), unless otherwise stated. AST: aspartate aminotransferase. #: includes congestive heart disease and coronary atherosclerotic heart disease.

FIGURE 2

Distribution of time to the initiation of lopinavir/ritonavir (LPV/r) treatment from symptom onset.

FIGURE 3

The cumulative proportions of patients with detectable SARS-CoV-2 RNA over time, by day after symptom onset, comparing patients without lopinavir/ritonavir (LPV/r) treatment with a) patients initiating LPV/r treatment <10 days from symptom onset, and b) patients initiating LPV/r treatment >10 days from symptom onset.

Comparison of clinical features of patients with SARS-CoV-2 infection who were treated with lopinavir/ritonavir (LPV/r) and without LPV/r, in Wuhan Data are presented as n, median (interquartile range) or n (%), unless otherwise stated. AST: aspartate aminotransferase. #: includes congestive heart disease and coronary atherosclerotic heart disease. Distribution of time to the initiation of lopinavir/ritonavir (LPV/r) treatment from symptom onset. The cumulative proportions of patients with detectable SARS-CoV-2 RNA over time, by day after symptom onset, comparing patients without lopinavir/ritonavir (LPV/r) treatment with a) patients initiating LPV/r treatment <10 days from symptom onset, and b) patients initiating LPV/r treatment >10 days from symptom onset.

Discussion

Viral shedding has commonly been used as a proxy measure for infectivity. Therefore, identification of the duration of viral shedding would be central to inform control policies and antiviral treatment in patients with COVID-19. In the current study of 120 hospitalised non-critically ill patients with COVID-19, we have for the first time identified that older age and the lack of LPV/r treatment were independent risk factors for prolonged viral shedding. We have also found that an initial administration of LPV/r treatment within 10 days from symptom onset, but not afterwards, could shorten the duration of SARS-CoV-2 RNA shedding. However, we did not observe an impact of comorbidities and corticosteroid use on the duration of viral shedding. As an emerging novel coronavirus, data on the duration of SARS-CoV-2 RNA shedding have been limited. Our previous study reported a median duration of SARS-CoV-2 RNA shedding of 19.5 days [7]. A recent study including 191 confirmed cases showed that SARS-CoV-2 RNA was detectable for a median of 20 days in survivors and until death in non-survivors [8]. Our corresponding estimate in the current study was 23 days using throat-swab specimens for viral detection. In addition, the median duration of SARS-CoV-2 RNA shedding did not differ between severe and general patients in the current study, which was in contrast to a study that recruited patients infected with Middle East respiratory syndrome coronavirus (MERS-CoV), in which more severely ill patients typically had higher RNA levels and more prolonged shedding [11]. Previous studies have reported that detectable SARS-CoV-2 RNA could persist until death in non-survivors [8, 9]. Whether critically ill patients have longer viral shedding compared with the generally or severely ill patients with COVID-19 needs further investigation. Nevertheless, given a long duration of SARS-CoV-2 RNA shedding as detected by RT-PCR, a more stringent approach to infection control, such as quarantine for an extended period of time and strict droplet precautions, may be pertinent and applicable to avoid wide-spread transmission. Our results demonstrated that older age was independently associated with prolonged SARS-CoV-2 RNA shedding. Previous studies have shown that older age is a risk factor for SARS-CoV-2 infection and has been associated with a greater risk of development of acute respiratory distress syndrome and mortality [8, 12]. Our findings further contribute to the literature by addressing the association between age and SARS-CoV-2 RNA shedding. One possible explanation would be that older patients typically generate less robust innate and adaptive immune responses, limiting the viral clearance, which predisposes to prolonged duration of viral shedding [13]. Of interest, a previous study of SARS-CoV has shown that the polymorphism of genes involved in innate immunity (i.e. interleukin-18, interleukin-1A and fibrinogen-like protein 2), which could be regulated in an age- and sex-dependent manner, was associated with viral load during the initial stage of the disease [14]. This highlights the importance of host genetic factors in the process of viral infections and merits further investigations in COVID-19. Lopinavir, an HIV-1 protease inhibitor, was administered in combination with ritonavir to increase drug bioavailability of lopinavir [15]. LPV/r has been shown to be effective in patients infected with SARS-CoV [16]. LPV/r also improved clinical parameters in MERS-CoV-infected marmosets and mice [17, 18]. Our study has, for the first time, shown that the lack of LPV/r treatment was independently associated with prolonged SARS-CoV-2 RNA shedding in non-critically ill patients with COVID-19. Administration of LPV/r treatment could shorten the duration of viral shedding compared with no LPV/r treatment. Interestingly, subgroup analysis revealed that the early administration of LPV/r treatment within 10 days from symptom onset, but not late administration (initiated after 10 days), could shorten the duration of SARS-CoV-2 RNA shedding compared with no LPV/r treatment. A recent randomised controlled trial showed that LPV/r treatment could not provide additional benefit, including in relation to viral shedding, beyond standard-of-care in hospitalised severely ill adult patients with COVID-19 who required a range of ventilatory support modes [9]. However, a post hoc subgroup analysis of the LPV/r treatment in the randomised controlled trial found that earlier administration of antiviral treatment could accelerate the clinical recovery and reduce the mortality, which was consistent with our findings. Admittedly, patients recruited in the trial were in an advanced phase of infection (as evidenced by the 25% mortality in the control group). In contrast, most patients (99.2%) in our cohort were non-critically ill patients with COVID-19, due to triage strategies. Because LPV/r was not particularly designed to act against SARS-CoV-2, it might reasonably be anticipated that LPV/r action on SARS-CoV-2 was not as effective as neuraminidase inhibitor action on influenza [19]. The median duration of viral shedding, even in patients who received LPV/r treatment within 10 days from symptom onset, was 19 days in the current study, demonstrating that LPV/r treatment could not completely inhibit viral replication. In this regard, earlier administration of LPV/r therapy after symptom onset, to patients who were not in the late phase of infection, may be crucial to determine the efficacy. Nevertheless, randomised clinical trials remain crucial to test whether earlier administration of LPV/r treatment could shorten the duration of viral shedding, accelerate the clinical recovery and improve survival in patients with COVID-19, especially in non-critically ill patients. Our investigation has some limitations. First, the presence of SARS-CoV-2 RNA does not necessarily indicate the production of infectious virus. Secondly, owing to triage strategies, almost all patients in our hospital were categorised as having general and severe COVID-19; therefore, extrapolating these findings to critically ill patients needs caution. Thirdly, the estimation of the duration of SARS-CoV-2 RNA shedding was limited by the type of respiratory specimen, the frequency of respiratory specimen collection and the lack of quantitative viral RNA detection. Fourthly, we excluded fatal cases from the final analysis because all of them had detectable SARS-CoV-2 RNA until death, and the time to death could not accurately reflect the duration of viral shedding; therefore, the association between viral shedding and mortality could be not assessed. Finally, interpretation of our findings was limited by the sample size and the lack of genetic analysis of the host. Further large-scale cohort studies are still needed to better define the risk factors for prolonged viral shedding, including testing the effect of corticosteroid use, in patients with COVID-19. In summary, older age and the lack of LPV/r treatment correlate with prolonged SARS-CoV-2 RNA shedding. Earlier administration of LPV/r treatment may shorten the duration of SARS-CoV-2 RNA shedding. Randomised clinical trials to determine the effectiveness of LPV/r treatment in non-critically ill patients with COVID-19 are needed. Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author. Supplementary material ERJ-00799-2020.SUPPLEMENT This one-page PDF can be shared freely online. Shareable PDF ERJ-00799-2020.Shareable
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Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

6.  Factors Associated With Prolonged Viral Shedding in Patients With Avian Influenza A(H7N9) Virus Infection.

Authors:  Yeming Wang; Qiang Guo; Zheng Yan; Daming Zhou; Wei Zhang; Shujun Zhou; Yu-Ping Li; Jing Yuan; Timothy M Uyeki; Xinghua Shen; Wenjuan Wu; Hui Zhao; Yun-Fu Wu; Jia Shang; Zhengguang He; Yi Yang; Hongsheng Zhao; Yongqing Hong; Zehua Zhang; Min Wu; Tiemin Wei; Xilong Deng; Yijun Deng; Li-Hua Cai; Weihua Lu; Hongmei Shu; Lin Zhang; Hong Luo; Y Ing Zhou; Heng Weng; Keyi Song; Li Yao; Mingguang Jiang; Boliang Zhao; Ruibin Chi; Boqi Guo; Lin Fu; Long Yu; Haiyan Min; Pu Chen; Shuifang Chen; Liang Hong; Wei Mao; Xiaoping Huang; Lijun Gu; Hui Li; Chen Wang; Bin Cao
Journal:  J Infect Dis       Date:  2018-05-05       Impact factor: 5.226

7.  A Trial of Lopinavir-Ritonavir in Adults Hospitalized with Severe Covid-19.

Authors:  Bin Cao; Yeming Wang; Danning Wen; Wen Liu; Jingli Wang; Guohui Fan; Lianguo Ruan; Bin Song; Yanping Cai; Ming Wei; Xingwang Li; Jiaan Xia; Nanshan Chen; Jie Xiang; Ting Yu; Tao Bai; Xuelei Xie; Li Zhang; Caihong Li; Ye Yuan; Hua Chen; Huadong Li; Hanping Huang; Shengjing Tu; Fengyun Gong; Ying Liu; Yuan Wei; Chongya Dong; Fei Zhou; Xiaoying Gu; Jiuyang Xu; Zhibo Liu; Yi Zhang; Hui Li; Lianhan Shang; Ke Wang; Kunxia Li; Xia Zhou; Xuan Dong; Zhaohui Qu; Sixia Lu; Xujuan Hu; Shunan Ruan; Shanshan Luo; Jing Wu; Lu Peng; Fang Cheng; Lihong Pan; Jun Zou; Chunmin Jia; Juan Wang; Xia Liu; Shuzhen Wang; Xudong Wu; Qin Ge; Jing He; Haiyan Zhan; Fang Qiu; Li Guo; Chaolin Huang; Thomas Jaki; Frederick G Hayden; Peter W Horby; Dingyu Zhang; Chen Wang
Journal:  N Engl J Med       Date:  2020-03-18       Impact factor: 91.245

8.  Nasopharyngeal shedding of severe acute respiratory syndrome-associated coronavirus is associated with genetic polymorphisms.

Authors:  Wei-Ju Chen; Jyh-Yuan Yang; Jih-Hui Lin; Cathy S J Fann; Valeriy Osyetrov; Chwan-Chuen King; Yi-Ming Arthur Chen; Hsiao-Ling Chang; Hung-Wei Kuo; Fong Liao; Mei-Shang Ho
Journal:  Clin Infect Dis       Date:  2006-04-25       Impact factor: 9.079

9.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.

Authors:  Fei Zhou; Ting Yu; Ronghui Du; Guohui Fan; Ying Liu; Zhibo Liu; Jie Xiang; Yeming Wang; Bin Song; Xiaoying Gu; Lulu Guan; Yuan Wei; Hui Li; Xudong Wu; Jiuyang Xu; Shengjin Tu; Yi Zhang; Hua Chen; Bin Cao
Journal:  Lancet       Date:  2020-03-11       Impact factor: 79.321

10.  Middle East Respiratory Syndrome Coronavirus Transmission.

Authors:  Marie E Killerby; Holly M Biggs; Claire M Midgley; Susan I Gerber; John T Watson
Journal:  Emerg Infect Dis       Date:  2020-02       Impact factor: 6.883

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  57 in total

Review 1.  Dissecting the interaction between COVID-19 and diabetes mellitus.

Authors:  Ying Jie Chee; Seng Kiong Tan; Ester Yeoh
Journal:  J Diabetes Investig       Date:  2020-08-05       Impact factor: 4.232

2.  Efficacy and safety of antiviral treatment for COVID-19 from evidence in studies of SARS-CoV-2 and other acute viral infections: a systematic review and meta-analysis.

Authors:  Wei Liu; Pengxiang Zhou; Ken Chen; Zhikang Ye; Fang Liu; Xiaotong Li; Na He; Ziyang Wu; Qi Zhang; Xuepeng Gong; Qiyu Tang; Xin Du; Yingqiu Ying; Xiaohan Xu; Yahui Zhang; Jinyu Liu; Yun Li; Ning Shen; Rachel J Couban; Quazi I Ibrahim; Gordon Guyatt; Suodi Zhai
Journal:  CMAJ       Date:  2020-06-03       Impact factor: 8.262

3.  Effectiveness of early treatment of lopinavir-ritonavir in patients with severe COVID-19: a case series.

Authors:  Pan Luo; Jian-Ling Zheng; Yi Liu; Lin Qiu; Xiu-Lan Liu; Hui-Ying Xue; Dong Liu; Juan Li
Journal:  Clin Med (Lond)       Date:  2020-12-18       Impact factor: 2.659

4. 

Authors:  Zhikang Ye; Bram Rochwerg; Ying Wang; Neill K Adhikari; Srinivas Murthy; François Lamontagne; Robert A Fowler; Haibo Qiu; Li Wei; Ling Sang; Mark Loeb; Ning Shen; Minhua Huang; Zhaonan Jiang; Yaseen M Arabi; Luis Enrique Colunga-Lozano; Li Jiang; Younsuck Koh; Dong Liu; Fang Liu; Jason Phua; Aizong Shen; Tianyi Huo; Bin Du; Suodi Zhai; Gordon H Guyatt
Journal:  CMAJ       Date:  2020-10-26       Impact factor: 8.262

5.  Efficacy and safety of corticosteroids in COVID-19 based on evidence for COVID-19, other coronavirus infections, influenza, community-acquired pneumonia and acute respiratory distress syndrome: a systematic review and meta-analysis.

Authors:  Zhikang Ye; Ying Wang; Luis Enrique Colunga-Lozano; Manya Prasad; Wimonchat Tangamornsuksan; Bram Rochwerg; Liang Yao; Shahrzad Motaghi; Rachel J Couban; Maryam Ghadimi; Malgorzata M Bala; Huda Gomaa; Fang Fang; Yingqi Xiao; Gordon H Guyatt
Journal:  CMAJ       Date:  2020-05-14       Impact factor: 8.262

6.  Retrospective analysis of the effect of current clinical medications and clinicopathological factors on viral shedding in COVID-19 patients.

Authors:  Yanfeng Pan; Qingqing Li; Xue Yu; Qiankun Luo; Tao Qin; Ningbo Xin; Qian Zhang; Xianyang Li; Xinwei Du; Qingxia Zhao; Li Sun
Journal:  Biomed Rep       Date:  2020-10-20

7. 

Authors:  Wei Liu; Pengxiang Zhou; Ken Chen; Zhikang Ye; Fang Liu; Xiaotong Li; Na He; Ziyang Wu; Qi Zhang; Xuepeng Gong; Qiyu Tang; Xin Du; Yingqiu Ying; Xiaohan Xu; Yahui Zhang; Jinyu Liu; Yun Li; Ning Shen; Rachel J Couban; Quazi I Ibrahim; Gordon Guyatt; Suodi Zhai
Journal:  CMAJ       Date:  2020-11-23       Impact factor: 8.262

8. 

Authors:  Zhikang Ye; Ying Wang; Luis Enrique Colunga-Lozano; Manya Prasad; Wimonchat Tangamornsuksan; Bram Rochwerg; Liang Yao; Shahrzad Motaghi; Rachel J Couban; Maryam Ghadimi; Malgorzata M Bala; Huda Gomaa; Fang Fang; Yingqi Xiao; Gordon H Guyatt
Journal:  CMAJ       Date:  2020-11-23       Impact factor: 8.262

9.  Repositive RT-PCR test in discharged COVID-19 patients during medical isolation observation.

Authors:  Kun Huang; Wen Liu; Jinxia Zhou; Yao Wang; Yuxiang Zhang; Xinle Tang; Jing Liang; Fang-Fang Bi
Journal:  Int J Med Sci       Date:  2021-04-26       Impact factor: 3.738

Review 10.  COVID-19 drug repurposing: A review of computational screening methods, clinical trials, and protein interaction assays.

Authors:  Xueqing Wang; Yuanfang Guan
Journal:  Med Res Rev       Date:  2020-08-30       Impact factor: 12.944

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