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National Science Review logoLink to National Science Review
. 2020 May 28;7(9):1428–1436. doi: 10.1093/nsr/nwaa113

Preliminary evidence from a multicenter prospective observational study of the safety and efficacy of chloroquine for the treatment of COVID-19

Mingxing Huang 1,7, Man Li 2,3,7, Fei Xiao 4,5,7, Pengfei Pang 6,7,7, Jiabi Liang 8,7, Tiantian Tang 9,7, Shaoxuan Liu 10, Binghui Chen 11, Jingxian Shu 12, Yingying You 13, Yang Li 14,15, Meiwen Tang 16, Jianhui Zhou 17, Guanmin Jiang 18, Jingfen Xiang 19, Wenxin Hong 20, Songmei He 21, Zhaoqin Wang 22, Jianhua Feng 23, Changqing Lin 24, Yinong Ye 25, Zhilong Wu 26, Yaocai Li 27, Bei Zhong 28, Ruilin Sun 29, Zhongsi Hong 30, Jing Liu 31, Huili Chen 32, Xiaohua Wang 33, Zhonghe Li 34, Duanqing Pei 35,36,, Lin Tian 37,, Jinyu Xia 38,, Shanping Jiang 39,, Nanshan Zhong 40,, Hong Shan 41,42,
PMCID: PMC7313782  PMID: 34676087

Abstract

Effective therapies are urgently needed for the SARS-CoV-2 pandemic. Chloroquine has been proved to have antiviral effect against coronavirus in vitro. In this study, we aimed to assess the efficacy and safety of chloroquine with different doses in COVID-19. In this multicenter prospective observational study, we enrolled patients older than 18 years old with confirmed SARS-CoV-2 infection excluding critical cases from 12 hospitals in Guangdong and Hubei Provinces. Eligible patients received chloroquine phosphate 500 mg, orally, once (half dose) or twice (full dose) daily. Patients treated with non-chloroquine therapy were included as historical controls. The primary endpoint is the time to undetectable viral RNA. Secondary outcomes include the proportion of patients with undetectable viral RNA by day 10 and 14, hospitalization time, duration of fever, and adverse events. A total of 197 patients completed chloroquine treatment, and 176 patients were included as historical controls. The median time to achieve an undetectable viral RNA was shorter in chloroquine than in non-chloroquine (absolute difference in medians −6.0 days; 95% CI −6.0 to −4.0). The duration of fever is shorter in chloroquine (geometric mean ratio 0.6; 95% CI 0.5 to 0.8). No serious adverse events were observed in the chloroquine group. Patients treated with half dose experienced lower rate of adverse events than with full dose. Although randomized trials are needed for further evaluation, this study provides evidence for safety and efficacy of chloroquine in COVID-19 and suggests that chloroquine can be a cost-effective therapy for combating the COVID-19 pandemic.

Keywords: COVID-19, SARS-CoV-2, treatment, chloroquine

INTRODUCTION

The coronavirus disease 2019 (COVID-19) emerged in late 2019 [1,2]. The responsible virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), belongs to a distinct clade from the human severe acute respiratory syndrome CoV (SARS-CoV) and Middle East respiratory syndrome CoV (MERS-CoV) [3]. It has become a global pandemic, affecting over 100 countries with more than 240 000 confirmed cases and over 10 000 deaths globally as of March 20, 2020, calling for an urgent demand of effective treatment.

Chloroquine has been proved effective in vitro to inhibit the replication of SARS-CoV [4], HCoV-229E [5], and the newly discovered SARS-CoV-2 [6,7]. To evaluate the efficacy and safety of chloroquine for COVID-19, we previously conducted. Encouragingly, all patients achieved undetectable level of viral RNA within 14 days without serious adverse events. These results led us to conduct a multicenter prospective observational study in adult patients with COVID-19 to assess the efficacy and safety of chloroquine for COVID-19.

RESULT

Patients

Of the 233 enrolled patients for chloroquine, 197 (84.5%) completed treatment and were included in the final analysis (Fig. 1, study flowchart; Supplementary Table 1). Of the 182 patients collected as historical controls, 176 (96.7%) were included in the final analysis. Their baseline demographic and clinical features are listed in Table 1. The median age of patients were 43 years (inter-quartile range [IQR], 33 to 55 years) in the chloroquine group and 47.5 years (IQR, 35.8 to 56 years) in the non-chloroquine group. Across the two treatment groups, the majority patients were classified as moderate cases (93.4% in chloroquine; 89.2% in non-chloroquine) [8]. Chloroquine was added into China's Diagnosis and Treatment Guidelines of COVID-19 later than the other therapies used in the non-chloroquine group. Therefore, we observed longer interval time between symptom onset and treatment initiation in chloroquine versus non-chloroquine (absolute difference 4 days; 95% CI 2 to 6 days; P < 0.0001). In addition, due to the rapid rise of patients in Wuhan and established mobile hospital in early February, the interval time between symptom onset and treatment initiation in Wuhan (median 17 days, IQR 10.5 to 21 days) is longer than that in Guangdong Province (median 5 days, IQR 3 to 10 days; Table 1). In the subgroup of patients from the Fifth Affiliated Hospital of Sun Yat-sen University (SYSU5), we obtained and evaluated the viral load at baseline between chloroquine (N = 21) and non-chloroquine (N = 8) group and did not observe statistically significant difference (absolute difference in medians = 2.93, 95% CI −0.8 to 6.6, p = 0.09).

Figure 1.

Figure 1.

Study flowchart.

Table 1.

Baseline characteristics in chloroquine and non-chloroquine among people with COVID-19.

Chloroquine (N = 197) Non-chloroquine (N = 176)
Guangdong, N (%) 118 (60) 96 (54)
Hubei, N (%) 79 (40) 80 (46)
Age, mean (SD) 43.8 (13.1) 45.6 (13.5)
Age Inline graphic 65 190 (96) 171 (97)
Age > 65 7 (4) 5 (3)
Female sex, N (%) 101 (51) 97 (55)
Clinical manifestation, N (%)
 Mild 9 (5) 5 (3)
 Moderate 184 (93) 157 (89)
 Severe 4 (2) 14 (8)
Comorbidities, N (%)*
Hypertension 13 (17) 11 (17)
Type 2 diabetes 4 (5) 5 (8)
Interval time from symptom onset to treatment initiation, median (IQR)
 Guangdong 7 (3, 10.8) 4 (2, 7)
 Hubei 19 (17, 24.5) 11 (7, 16)
Body temperature, median (IQR), °C 36.7 (36.5, 37.0) 36.6 (36.4, 37.3)
Pneumonia from chest CT, N (%)§ 173 (89) 137 (93)

*The number of patients with valid record of comorbidities are 78 in chloroquine group and 66 in non-chloroquine group.

§The number of patients with valid record of chest CT image are 194 in chloroquine group and 148 in non-chloroquine group.

Clinical manifestation type definitions: (1) mild, mild clinical symptoms with no signs of pneumonia on chest radiological imaging; (2) moderate, fever, respiratory symptoms, imaging with pneumonia changes; (3) severe, meet any of the following criteria: shortness of breath, respiratory rate >30 times per minute, resting stable oxygen saturation in fingertip <93%, oxygenation index <300, pulmonary imaging showed that the lesion progressed significantly more than 50% within 24–48 hours.

Outcomes

In the analysis of the full study population, patients in the chloroquine group have an accelerated time to undetectable viral RNA from that of patients in the non-chloroquine group (absolute difference in medians −5.4 days; 95% CI −6 to −4; P < 0.0001; Fig. 2). Secondly, by day 10 and day 14 since treatment initiation, higher proportion of patients had undetectable viral RNA in the chloroquine group (91.4% and 95.9% respectively; Table 2) comparing to the non-chloroquine group (57.4% and 79.6% respectively; Table 2). In the aspect of clinical manifestations, we found that the duration of fevers is shorter in chloroquine versus non-chloroquine among patients experienced fever symptom (geometric mean ratio 0.6; 95% CI 0.5 to 0.8; P = 0.0029; Supplementary Fig. S1). To note, the antipyretic effects of chloroquine may have also contributed to this result. We observed no difference in the length of hospital stay (Supplementary Fig. S2). No patient died or admitted to ICU either in the chloroquine group or in the non-chloroquine group. Among patients who had moderate clinical symptoms at baseline, seven patients experienced aggravated symptoms from moderate to severe level, one in the chloroquine group and six in the non-chloroquine group. The proportion of patients having aggravated symptoms is lower in the chloroquine group but not statistically significant (absolute difference in proportions 3.28; 95% CI −6.96 to 1.43). All of the seven patients eventually were tested negative for the viral RNA within the study period.

Figure 2.

Figure 2.

Kaplan-Meier curve for time to undetectable viral RNA comparing treatment groups.

Table 2.

Outcomes in the overall population with confirmed SARS-CoV-2 infection§.

Chloroquine Non-chloroquine Difference
(N = 197) (N = 176) (95% CI) P value
Time to undetectable viral RNA, median no. of days (IQR) 3.0 (3.0, 5.0) 9.0 (6.0, 12.0) −6.0 (−6.0, −4.0) < 0.0001
Patients with undetectable viral RNA by, N (%)
 Day 10 180.0 (91.0) 101.0 (57.0) 34.0 (25.6, 42.9) < 0.0001
 Day 14 189.0 (96.0) 140.0 (80.0) 16.0 (9.2, 23.3) < 0.0001
Duration of fever*, no. of days, geometric mean (CV) 1.2 (53.5) 1.9 (110.0) 0.6 (0.5, 0.8) 0.0029
Length of hospital stay, median no. of days (IQR) 19.0 (16.0, 23.0) 20.0 (15.8, 24.0) −1.0 (−3.0, 0.0) 0.25

Abbreviations: CI, confidence interval; IQR, inter-quartile range; CV, coefficient of variation.

§Definitions of outcomes are listed in Supplementary Methods.

95% CI for continuous variables are calculated by bootstrapping. 95% CI for binary variables are calculated with Wilson method. The difference for duration of fever is geometric mean ratio of chloroquine group to non-chloroquine group. The differences for all other variables are the absolute difference between chloroquine group and non-chloroquine group.

*The number of patients had at least one day of fever is 42 and 51 in the chloroquine and non-chloroquine group respectively.

Due to the significant difference observed in clinical classification between chloroquine and non-chloroquine group at baseline, we further analyzed the primary and secondary outcomes in patients with moderate symptoms only. The number of patients in mild or severe subgroup were too few to compare. The benefit of chloroquine in viral suppression is consistent with the full analysis, except for non-significant difference observed for the proportion of patients with undetectable viral RNA by day 14 (Supplementary Table 2).

In post hoc analysis, we examined the effect of chloroquine on the time to undetectable viral RNA stratified by different doses, types of clinical manifestation, the interaction between province and time from symptom onset to treatment initiation, and a representative center (Fig. 3). Chloroquine showed beneficial effect in all stratum. However, the beneficial effect is not statistically significant in patients with severe COVID-19 symptoms, patients from Guangdong Province treated later than 14 days after symptom onset, or patients from SYSU5.

Figure 3.

Figure 3.

Post hoc analysis on the effect of chloroquine on time to undetectable viral RNA by stratification. Abbreviations: GD, Guangdong; HB, Hubei. 95% CI are calculated by bootstrapping. The differences for all other variables are the absolute difference between chloroquine group and non-chloroquine group.

In order to assess the effect of chloroquine in more detailed clinical improvement outcomes in post hoc analysis, we collected detailed clinical data in patients from SYSU5, including the improvement of chest CT, the monitoring of serum chloroquine concentration, and the reappearance of positive viral RNA detection after hospital discharge. In this subgroup of patients, the interval time between

symptom onset and treatment initiation were comparable. The medians are 7 days in chloroquine group (N = 50) and 6 days in non-chloroquine group (N = 21) (absolute difference in medians 1 day; 95% CI −3 to 4 days; P = 0.99; Supplementary Table 3). We did not find statistically significant difference in the time to undetectable viral RNA between the two groups (absolute difference in medians −3.5 days; 95% CI −6 to 1 days). The chloroquine group have higher percentage of patients with improved chest CT by day 10 (absolute difference in proportions 9.7; 95% CI −16.0 to 35.6) and day 14 (absolute difference in proportions 6.3; 95% CI −22.2 to 32.0) than the non-chloroquine group but the difference is not statistically significant (Supplementary Table 3). This could be due to the small sample size or the delayed chest CT absorption [9]. We did not observe beneficial effect of chloroquine in the length of hospital stay and the duration of oxygen support (Supplementary Table 3). Unprecedently, we observed 3 cases of so called ‘re-positive’ patients in the chloroquine group. They were identified with negative viral RNA test from respiratory tract samples but positive viral RNA test from fecal samples within 7 days following hospital discharge. No such observation in the non-chloroquine group. Investigation is underway to examine whether it is due to re-infection or other factors.

Among the 12 hospitals, one hospital explored different dosage of chloroquine, as 500 mg once daily, which is half of the protocol dosage. We compared the primary and secondary outcomes in patients from this subgroup (N = 29) with the non-chloroquine group in Guangdong Province. The results mainly showed that chloroquine has benefit effect on the time to undetectable viral RNA (absolute difference in medians −5 days; 95% CI −6.0 to −4.0 days) and the proportion of patients with undetectable viral RNA by day 10 is higher in chloroquine group (absolute difference in proportions 32.7; 95% CI 23.9 to 42.1). The duration of fever was also shorter than those in the non-chloroquine group (geometric mean ratio 0.8; 95% CI 0.5 to 0.9) (Supplementary Table 4).

Safety

A total of 53 patients (26.9%) in the chloroquine group and 57 (32.4%) in the non-chloroquine group reported adverse events during study period (Table 3). Gastrointestinal events including vomiting, abdominal distension, nausea, decreased appetite, thirst were more common in chloroquine than in the non-chloroquine group. The percentage of patients with neurological adverse events, including dizziness and sleep order, were higher in the chloroquine than in the non-chloroquine group. In addition, anxiety was observed more frequently in chloroquine than in the non-chloroquine group. We observed fewer adverse events in patients with half dose of chloroquine than full dose (absolute difference in proportions −40; 95% CI −60 to −29).

Table 3.

Summary of adverse events§.

Chloroquine Non-chloroquine
Event, N (%) (N = 197) (N = 176)
Any adverse event 53 (26.9) 57 (32.4)
Gastrointestinal
 Vomiting 9 (4.6) 2 (1.1)
 Abdominal distension 2 (1.0) 1 (0.6)
 Abdominal pain 2 (1.0) 2 (1.1)
 Nausea 18 (9.1) 7 (4.0)
 Diarrhea 6 (3.0) 11 (6.3)
 Decreased appetite 7 (3.6) 0 (0)
 Thisrt 4 (2.0) 0 (0)
 Acid reflux 1 (0.5) 0 (0)
 Belching 1 (0.5) 0 (0)
Neurological
 Dizziness 20 (10.2) 4 (2.3)
 Headache 3 (1.5) 3 (1.7)
 Sleep disorder 10 (5.1) 1 (0.6)
Psychological
 Anxiety 6 (3.0) 0 (0)
 Depression 1 (0.5) 0 (0)
 Delirious 1 (0.5) 1 (0.6)
 Dysphoria 1 (0.5) 0 (0)
 Emotional unstable 1 (0.5) 0 (0)
Cardiovascular
 Pain under xiphoid 1 (0.5) 0 (0)
 Chest tightness 2 (1.0) 6 (3.4)
 Ventricular premature beat 0 (0) 1 (0.6)
Other
 Hand shaking/numbness 2 (1.0) 0 (0)
 Muscle soreness 0 (0) 4 (2.3)
 Blurred vision 3 (1.5) 0 (0)
 Rash 1 (0.5) 0 (0)
 Weight loss 1 (0.5) 0 (0)
 Fatigue/weakness 2 (1.0) 1 (0.6)
 Shortness of breath 1 (0.5) 3 (1.7)
 Unsteady gait 1 (0.5) 0 (0)

§Adverse events that occurred in more than 1 patient after treatment initiation during study period are shown. Some patients had more than one adverse event.

Chloroquine phosphate has a long half-life (20–60 days) [10–12] and its mean residence time is approximately 20 days [10]. It may have cumulative effect [13]. In order to determine whether chloroquine has a cumulative effect in the short-term treatment with COVID-19, we measured the serum concentration of chloroquine in patients from SYSU5 during and off the treatment. The results showed that the mean of serum concentration of chloroquine gradually rising, with the highest reaching 1.80(±0.49) μmol/L during medication and reduced to 0.13(±0.08) μmol/L within 28 ± 1 days off chloroquine (Supplementary Fig. 3). We did not observe statistically significant difference in treatment effect of chloroquine when stratifying by tertiles of serum chloroquine concentrations (Supplementary Fig. 4).

DISCUSSION

In this study, we found that patients in the chloroquine group experienced significantly faster and higher rate of viral suppression comparing to the non-chloroquine group in both the full analysis and the post hoc stratified analysis. Even when the dose reduced to half, the benefit of chloroquine still remained (Fig. 3). These findings indicate that chloroquine could be effective in treating patients with COVID-19. To our knowledge, this is the first and largest clinical study on chloroquine phosphate for treating COVID-19 to date.

We recognize that our study has several limitations. This study was carried out under the COVID-19 public health emergency. Due to the limited medical capacity and urgent clinical situation, we were unable to conduct a standard randomized controlled study to formally evaluate efficacy and safety of chloroquine versus placebo. As an observational study, we have to note that several factors may influence the interpretation of the result. It is reasonable to suspect that the dramatic improvement in the primary outcome in chloroquine could be due to the later treatment initiation since symptom onset. Firstly, gaining experience in treatment management and attenuation of the virus during the course of the epidemic could contribute to the improved outcomes. Secondly, we cannot rule out the possibility that among those with longer interval time between symptom onset and treatment, some may already have been on the course of recovery. Thirdly, although it is impossible to dissect the influence from other antiviral therapies used before chloroquine, it is a plausible assumption that chloroquine is the first antiviral therapy used in the group of patients treated within three days since symptom onset. The post hoc analysis dividing subgroups according to the interval time and the two provinces (Fig. 3) indicating that the chloroquine group had a better outcome than the non-chloroquine group at early stage of the disease onset regardless of the locations. Lastly, due to the differences in personnel and technical equipment of among all hospitals, we could not fully collect clinical and laboratory data of all patients. However, detailed clinical data were obtained from the chloroquine patients enrolled from SYSU5, enabling advanced analysis of clinical outcomes and pharmacokinetics.

As of this time, there are more than 20 trials ongoing for evaluating the efficacy and safety of chloroquine or hydroxychloroquine in treating COVID-19. Magagnoli et al. recently published a retrospective study indicating that the use of hydroxychloroquine with or without azithromycin does not reduced the risk of mechanical ventilation in United States veterans hospitalized with COVID-19 [14]. More recently, Geleris et al. presented an observational study of hydroxychloroquine indicating that no beneficial effect of hydroxychloroquine on the risk of intubation or death. Comparing with these studies, our study population was younger and fewer patients with severe symptoms that requires ventilation [15]. Therefore, prospective randomized trials are needed to see if the results can be replicated.

Till now, the mechanism of chloroquine's effect against SARS-CoV-2 remained unelucidated. Clatherin-mediated endocytosis is required for entry of coronavirus into host cells and meanwhile autophagy involves in viral replication [16]. Chloroquine inhibits clatherin-mediated endocytosis by suppressing acidification of endosomes, and autophagy by raising its lysosomal PH and blocking fusion of autophagosome with lysosome and lysosomal protein degradation [17]. A recent study has shown that the development of COVID-19 disturbed metabolic patterns, which aligned with the progress and severity of COVID-19 (Wu et al. National Science Review 2020, in press). Chloroquine has a favorable effect on glucose and lipid metabolism [18]. Therefore, chloroquine may exert its antiviral effect against SARS-CoV-2 by inhibiting endocytosis and autophagy, and stabilizing glucose and lipid metabolism.

The adverse reactions of chloroquine drugs are of great concern to the community. Although it is an old anti-malarial drug, its safety in treating COVID-19 patients is still unknown. In the present study, we did not observe serious adverse events in patients with chloroquine. All adverse events observed during the study period are known side-effects for chloroquine (Table 3). The main adverse events were symptoms in gastrointestinal and neuropsychiatric systems. Chloroquine is known for its side effects in cardiovascular system. In the chloroquine group, we did not find significantly higher rate of adverse events in patients older than 65 or with pre-existing conditions (Supplementary Table 5). Adverse event appeared in 1 out of 29 patients (3.5%) with half dose while in 52 out 168 patients (31.0%) with full dose, indicating that the half dose group has lower adverse event rate (absolute rate difference −27.5; 95% CI −45.0 to −19.2). Although previous studies suggested that chloroquine may have cumulative effect [11,19,20], we did not observe cumulative effects among 50 patients from SYSU5 by monitoring the serum concentration of chloroquine for up to 28 days after treatment completion. Chloroquine are thought to interfere with medications that influence the QT interval. Patients on chloroquine therapy concurrently taking drugs for the treatment of cardiac comorbidities should also be monitored for the potential risk of cardiac arrhythmia [21]. For patients in the non-chloroquine group, about half were treated with lopinavir/ritonavir alone or in combination with other medications and the other half were treated with Arbidol (Supplementary Table 6). There is no strong evidence that these antiviral treatments were safe and effective in COVID-19 patients [22]. In addition, a recent pharmacovigilance study reported that number of drugs used in hospital and underlying basic diseases are independent risk factor for adverse reactions in COVID-19 and majority of the adverse reactions can be explained by the use of lopinavir/ritonavir [23]. The different antiviral therapies used in the historical control group could potentially confound the risk of adverse events between chloroquine and non-chloroquine treatment. Future studies are needed to determine the optimal dosing for treating COVID-19 and the cumulative effect of chloroquine in tissues and organs. Severe cases are underrepresented in the present study, and thus should be focused in the future studies to evaluate the efficacy and safety profile in this population. In addition, it will be important to study the prophylaxical use of chloroquine in areas with high rate of COVID-19 or in health professionals working with COVID-19 patients.

In conclusion, our preliminary evidence showed that chloroquine has the potential to shorten the time to SARS-CoV-2 viral suppression and duration of fever in patients with moderate symptoms at earlier stage of the disease, even with reduced dose. Further randomized studies are needed to determine the optimal dose, to assess its benefit for both severe cases and to assess its benefit in settings other than secondary care. Considering that there is no better option at present, chloroquine could be a viable option to combat the coronavirus pandemic under proper management.

METHODS

Study design and participants

This study was a multicenter prospective observational study conducted from February 7 through March 8, 2020 at 11 hospitals in Guangdong Province and one mobile cabin hospital in Wuhan, Hubei Province, China. The study protocol was approved by the ethics committee of Fifth Affiliated Hospital of Sun Yat-sen University (SYSU5), located in Zhuhai, Guangdong Province, and registered at Chinese Clinical Trial Registry (ChiCTR2000029609). We did this study in accordance with the principles of the Declaration of Helsinki and Good Clinical Practice. Written informed consent was obtained from all patients or their legal guardians. During the study period, each hospital had various choices of antiviral regimen, and the sample size of Lopinavir/Ritonavir (the historical control group in the original protocol) for single-use were underpowered. Thus, we updated the inclusion criteria of the historical control group as patients receiving non-chloroquine treatment.

Eligible patients were aged 18 years or older with confirmed SARS-CoV-2 infection, tested by the local Center for Disease Control (CDC) or by a designated diagnostic laboratory, using reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assay (Shanghai ZJ Bio-Tech Co Ltd) for SARS-CoV-2 in a respiratory tract sample. Patients were ineligible if he/she met any of the following criteria: pregnant women, with known allergies to 4-aminoquinoline compounds, blood system diseases, chronic liver or kidney diseases in end-stage, arrhythmia or second/third degree heart block, with known to have retinopathy, hypoacusis or hearing loss, mental disease, glucose-6-phosphate dehydrogenase (G6PD) deficiency, had received digitalis drugs within the seven days preceding enrollment, or is classified as critical case according to China's Novel Coronavirus Pneumonia Diagnosis and Treatment Plan (4th Edition). Enrolled patients received 500 mg chloroquine Phosphate (equivalent of 300 mg chloroquine base, Shanghai Xinyi Pharmaceutical Co., Ltd) orally, once/twice-daily with no other antiviral therapies. The criteria of stopping chloroquine was defined as undetectable viral RNA for two consecutive respiratory tract samples. The duration of medication in chloroquine group is no more than 10 days. Patients in the historical control group were treated according to China's Novel Coronavirus Pneumonia Diagnosis and Treatment Plan (details described in Supplementary Table 6).

Outcome and measurements

The primary outcome is the time from treatment initiation to undetectable viral RNA for two consecutive respiratory tract samples. The secondary outcomes include the proportion of patients with undetectable viral RNA by day 10 and 14, duration of fevers, time in hospital, and adverse events. The detailed definition of outcomes is described in Supplementary Methods. Respiratory tract sample was collected from patients daily to conduct RT-PCR assay for SARS-CoV-2 infection. The epidemiological characteristics, clinical symptoms and signs, adverse reactions/events were collected with data collection forms. The outcomes, clinical characteristics, laboratory findings, chest computed tomographic (CT) scans were recorded on case record forms and then double-entered into an electronic database and validated by trial staff. After hospital discharge, patients were followed up once weekly. Patients with ‘re-positive’ viral RNA detection within one week after hospital discharge are defined as having either 2 consecutive RT-PCR positive result from either respiratory tract sample or fecal specimen. In the subgroup of patients in SYSU5, all CT images were reviewed by two fellowship-trained cardio-thoracic radiologists by using a viewing console. Images were reviewed independently, and final decisions were reached by consensus [9].

To fully assess the safety of chloroquine, we monitor the serum concentration of chloroquine at the day 1, 3, 5, 7, 10 during drug administration and day 1 to 7, and day 14, day 21 after treatment completion in a subgroup of samples enrolled from SYSU5 (N = 50). Details about the measurement of serum concentration of chloroquine are described in Supplementary Methods.

Statistical analysis

The original plan was to compare the efficacy between three groups, chloroquine only, Lopinavir/Ritonavir only, and chloroquine plus Lopinavor/Ritonavir. At the beginning of the outbreak, different therapies were proposed and tested for the treatment of COVID-19. Therefore, it is challenging to find sufficient patients with unified treatment across all centers. The epidemic in Guangdong had been brought under control rapidly during the study making it difficult to recruit patients as planned. The history of changes to the protocol is listed in Supplementary Table 7. Thus, a decision was made to focus on recruiting chloroquine only and compare the efficacy with historical controls. The current sample size was based on feasibility within the fixed trial recruitment window and was felt would provide sufficient precision for the estimation of plausible effects. With right-censoring in time-to-event variables, generalized Wilcoxon test was used to compare the difference in medians and the 95% confidence intervals were calculated by bootstrapping [24]. For binary outcomes, Wilson test was implemented to calculate the difference in proportions and 95% confidence intervals. As this was an observational study, imbalance in the baseline characteristics of the two groups was expected. To adjust for this imbalance, we performed post hoc analyses within various subgroups by two dosage options, by clinical manifestation, by the interaction of province and the interval time between symptom onset and treatment initiation (Inline graphic3 days; 3∼7 days; 7∼14 days; >14 days), and by center. For all comparative analyses, P < 0.05 was considered statistically significant. No allowance for multiplicity. All P values are two tailed. All statistical analyses were performed in R, version 3.6.1 (R Foundation for Statistical Computing) [25].

Role of the funding source

The sponsor of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author had full access to all the data and had final responsibility for the decision to submit for publication.

DATA SHARING

The data that support the findings of this study are available from the corresponding author on reasonable request. Participant data without names and identifiers will be made available after approval from the corresponding author and Ministry of science and technology and Health Committee in Guangdong province. After publication of study findings, the data will be available for others to request. The research team will provide an email address for communication once the data are approved to be shared with others. The proposal with detailed description of study objectives and statistical analysis plan will be needed for evaluation of the reasonability to request for our data. The corresponding author and Ministry of science and technology and Health Committee in Guangdong province will make a decision based on these materials. Additional materials may also be required during the process.

Supplementary Material

nwaa113_Supplemental_File

ACKNOWLEDGEMENTS

We thank all patients who participated in this study and their families. We also thank all the health care workers on the front lines of the COVID-19 pandemic. We thank all the participants in this study. We acknowledge all health-care workers who provided care for the patients at the 12 hospitals. We thank Jiaxing Taimei Medical Technology Co., Ltd for Electronic Data Capture service.

Contributor Information

Mingxing Huang, Department of Infectious Diseases, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Man Li, Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China; Center for Interventional Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Fei Xiao, Department of Infectious Diseases, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China; Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Pengfei Pang, Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China; Center for Interventional Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Jiabi Liang, Department of Pharmacy, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Tiantian Tang, Department of Respiratory and Critical Care Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.

Shaoxuan Liu, Clinical Research Center Office, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Binghui Chen, Department of Radiology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Jingxian Shu, Department of Pharmacy, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Yingying You, Department of Stomatology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Yang Li, Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China; Center for Interventional Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Meiwen Tang, Department of Hematology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Jianhui Zhou, Department of Clinical Laboratory, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Guanmin Jiang, Department of Clinical Laboratory, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Jingfen Xiang, Department of Emergency, Wuhan East West Lake Mobile Cabin Hospitals, Wuhan 430040, China.

Wenxin Hong, Department of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou 510060, China.

Songmei He, Department of Infectious Diseases, Dongguan Ninth People's Hospital, Dongguan 532016, China.

Zhaoqin Wang, Department of Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen 518100, China.

Jianhua Feng, Department of Infectious Diseases, Zhongshan Second People's Hospital, Zhongshan 528447, China.

Changqing Lin, Department of Respiratory and Critical Care Medicine, Huizhou Central People's Hospital, Huizhou 516001, China.

Yinong Ye, Department of Infectious Diseases, Foshan First people's Hospital, Foshan 528000, China.

Zhilong Wu, Department of Respiratory and Critical Care Medicine, The Fourth People's Hospital of Foshan City, Foshan 528000, China.

Yaocai Li, Department of Infectious Diseases, Maoming People's Hospital, Maoming 525000, China.

Bei Zhong, Department of Infectious Diseases, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan 511518, China.

Ruilin Sun, Pulmonary and Critical Care Medicine Department, Guangdong Second Provincial General Hospital, Guangzhou 510317, China.

Zhongsi Hong, Department of Infectious Diseases, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Jing Liu, Department of Respiratory and Critical Care Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519099, China.

Huili Chen, Department of Infectious Diseases, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Xiaohua Wang, Intensive Care Unit, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519099, China.

Zhonghe Li, Department of Nephrology, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519099, China.

Duanqing Pei, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou 510700, China; Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510700, China.

Lin Tian, Center for Interventional Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Jinyu Xia, Department of Infectious Diseases, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

Shanping Jiang, Department of Respiratory and Critical Care Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.

Nanshan Zhong, State Key Laboratory of Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.

Hong Shan, Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China; Center for Interventional Medicine, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai 519000, China.

FUNDING

This work was supported in part by the National Key Research and Development Plan for the Emergency Management of Novel Coronavirus Pneumonia (2020YFC082400), the Special Project of Guangdong Science and Technology Department (2020B111105001), the Emergency Research Project on SARS-CoV-2 from Guangzhou Regenerative Medicine and Health Guangdong Laboratory (2020GZR110106003), the Cultivation project of Scientific Research Plan from `Three Major Constructions of Sun Yat-sen University in 2020': Emergency Management of Novel Coronavirus Pneumonia in Science and Technology Development, and the Emergency Project of Novel Coronavirus Pneumonia in Science and Technology Development of Zhuhai in 2020.

AUTHOR CONTRIBUTIONS

S.H., N.Z., S.J., J.X., L.T. and D.P. had the idea for and designed the study and had full access to all data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. M.L, F.X., Y.L., M.H., J.L., P.P. and T.T. contributed to writing of the report. M.L, F.X., M.H., Y.L., J.L. and P.P. contributed to critical revision of the report. M.L. contributed to the statistical analysis. All authors contributed to data acquisition, data analysis, or data interpretation, and reviewed and approved the final version.

Conflict of interest statement . None declared.

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