[A pilot study of hydroxychloroquine in treatment of patients with moderate COVID-19]

ABSTRACT

OBJECTIVE: To evaluate the efficacy and safety of hydroxychloroquine (HCQ) in the treatment of patients with moderate coronavirus disease 2019 (COVID-19). METHODS: We prospectively enrolled 30 treatment-naive patients with confirmed COVID-19 after informed consent at Shanghai Public Health Clinical Center. The patients were randomized 11 to HCQ group and the control group. Patients in HCQ group were given HCQ 400 mg per day for 5 days plus conventional treatments, while those in the control group were given conventional treatment only. The primary endpoint was negative conversion rate of SARS-CoV-2 nucleic acid in respiratory pharyngeal swab on days 7 after randomization. This study has been approved by the Ethics Committee of Shanghai Public Health Clinical Center and registered online (NCT04261517). RESULTS: One patient in HCQ group developed to severe during the treatment. On day 7, nucleic acid of throat swabs was negative in 13 (86.7%) cases in the HCQ group and 14 (93.3%) cases in the control group (P>0.05). The median duration from hospitalization to virus nucleic acid negative conservation was 4 (1,9) days in HCQ group, which is comparable to that in the control group [2 (1,4) days, Z=1.27, P>0.05]. The median time for body temperature normalization in HCQ group was 1 (0,2) day after hospitalization, which was also comparable to that in the control group [1 (0,3) day]. Radiological progression was shown on CT images in 5 cases (33.3%) of the HCQ group and 7 cases (46.7%) of the control group, and all patients showed improvement in follow-up examinations. Four cases (26.7%) of the HCQ group and 3 cases (20%) of the control group had transient diarrhea and abnormal liver function (P>0.05). CONCLUSIONS: The prognosis of COVID-19 moderate patients is good. Larger sample size study are needed to investigate the effects of HCQ in the treatment of COVID-19. Subsequent research should determine better endpoint and fully consider the feasibility of experiments such as sample size.