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Can elevated concentrations of ALT and AST predict the risk of ‘recurrence’ of COVID-19?

Published online by Cambridge University Press:  21 September 2020

L. Z. Chen
Affiliation:
Department of Infectious Disease, Qingdao Municipal Hospital Group, Qingdao, China
Z. H. Lin
Affiliation:
Department of Gastroenterology, Qingdao Municipal Hospital Group, Qingdao, China
J. Chen
Affiliation:
Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
S. S. Liu
Affiliation:
Hepatology Laboratory, Qingdao Municipal Hospital Group, Qingdao, China Digestive Disease Key Laboratory of Qingdao, Qingdao, China
T. Shi
Affiliation:
Department of Gastroenterology, Qingdao Municipal Hospital Group, Dalian Medical University, Qingdao, China
Y. N. Xin*
Affiliation:
Department of Infectious Disease, Qingdao Municipal Hospital Group, Qingdao, China Department of Gastroenterology, Qingdao Municipal Hospital Group, Qingdao, China Hepatology Laboratory, Qingdao Municipal Hospital Group, Qingdao, China Digestive Disease Key Laboratory of Qingdao, Qingdao, China
*
Author for correspondence: Y. N. Xin, E-mail: [email protected]
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Abstract

‘Recurrence’ of coronavirus disease 2019 (COVID-19) has triggered numerous discussions of scholars at home and abroad. A total of 44 recurrent cases of COVID-19 and 32 control cases admitted from 11 February to 29 March 2020 to Guanggu Campus of Tongji Hospital affiliated to Tongji Medical College Huazhong University of Science and Technology were enrolled in this study. All the 44 recurrent cases were classified as mild to moderate when the patients were admitted for the second time. The gender and mean age in both cases (recurrent and control) were similar. At least one concomitant disease was observed in 52.27% recurrent cases and 34.38% control cases. The most prevalent comorbidity among them was hypertension. Fever and cough being the most prevalent clinical symptoms in both cases. On comparing both the cases, recurrent cases had markedly elevated concentrations of alanine aminotransferase (ALT) (P = 0.020) and aspartate aminotransferase (AST) (P = 0.007). Moreover, subgroup analysis showed mild to moderate abnormal concentrations of ALT and AST in recurrent cases. The elevated concentrations of ALT and AST may be recognised as predictive markers for the risk of ‘recurrence’ of COVID-19, which may provide insights into the prevention and control of COVID-19 in the future.

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

Introduction

Wuhan Municipal Health Commission, China reported a cluster of pneumonia cases, on 31 December 2019, which was officially named coronavirus disease 2019 (COVID-19) by WHO [Reference Zhu1, Reference Tan2]. Due to its alarming levels of spread and severity of COVID-19, the Director-General of WHO declared the COVID-19 a Public Health Emergency of International Concern on 30 January 2020 and a global pandemic on 11 March 2020, respectively [3, 4]. COVID-19 has emerged to be a fatal disease and caused panic worldwide. A total of 11 468 979 confirmed cases of COVID-19 were reported by WHO by 7 July 2020, which also included 535 181 deaths globally [5]. However, a series of prevention and control steps, as well as precise medical treatment measures, have prevented and controlled the epidemic situation in China and have achieved phased results. China followed the five stages of the arduous course of anti-epidemic: (i) immediate response to the sudden epidemic situation, (ii) initial containment of the epidemic situation, (iii) the number of new cases in China gradually reduced to a single digit, (iv) achieve decisive results in ‘Wuhan and Hubei defense Wars’, (v) normalised national epidemic prevention and control. However, a rise in the number of confirmed cases can be seen abroad, and the task of global epidemic preventive control is still arduous.

Nevertheless, with thorough and increased understanding and accumulation of the epidemiological characteristics, pathological changes, clinical characteristics, diagnosis and treatment of COVID-19, many patients have been discharged from hospital [6]. Another challenge that has attracted wide attention is the recurrence/reactivation/reinfection/relapse/redetectable positive/turned positive/false-negative of COVID-19 and has triggered numerous discussions of scholars at home and abroad. All of the recurrent cases met the discharge criteria according to the diagnosis and treatment protocol for novel coronavirus pneumonia (NCP; trial version 7), which including negative result for nuclei acid tests twice consecutively on respiratory tract specimens such as nasopharyngeal swabs and sputum (24 h sampling interval at least). Recently, the number of recurrent cases has increased, and/or test results of discharged patients of COVID-19 undergoing real-time reverse transcription-polymerase chain reaction (RT-PCR) test turned positive [Reference Ye7Reference Hoang, Dao and Gautret10]. However, the typical clinical characteristics, risk factors or predictive markers, and therapeutic strategies of the recurrent cases remain unclear.

This study aimed to investigate the clinical and laboratory characteristics as well as the potential risk factors or predictive markers of the recurrent cases of COVID-19 to provide certain scientific data for effective prevention and control measures in the future.

Methods

Study design and patients

The COVID-19 patients admitted to the Guanggu Campus of Tongji Hospital affiliated to Tongji Medical College Huazhong University of Science and Technology were reviewed from 11 February to 29 March 2020. Dr Yongning Xin and Dr Lizhen Chen were members of the seventh aid medical team in Hubei Province from Shandong Province. A total of 44 recurrent COVID-19 cases, which tested positive for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) nucleic acid after 14-day isolation post-discharge were recruited. In addition, 32 control cases matched for sex and age were also randomly recruited for this study. The control cases represent negative SARS-CoV-2 nucleic acid tests after 14-day isolation post-discharge. Based on the diagnosis and treatment protocol for NCP (trial version 7) issued by the National Health Commission & National Administration of Traditional Chinese Medicine, COVID-19 is diagnosed [6]. The discharge criteria for COVID-19 patients are as follows [6]: (1) body temperature to return to normal for more than 3 consecutive days; (2) respiratory symptoms are resolved; (3) pulmonary imaging showing the significantly absorbed lung inflammation; (4) negative result for nuclei acid tests twice consecutively on respiratory tract specimens such as nasopharyngeal swabs and sputum (24 h sampling interval at least).

The Ethics Committee of Qingdao Municipal Hospital (approval number: 2020-040) approved the study protocol. Moreover, this study was conducted in accordance with the principles of the World Medical Association Declaration of Helsinki. Due to the spread and severity of COVID-19, written informed consent was waived.

Data acquisition

Electronic medical records and nursing records provided all the basic clinical information (such as gender, age, clinical manifestations, comorbidities) and laboratory results of the patients, which were collected by two investigators (Lizhen Chen and Juan Chen). We collected the second admission blood tests of recurrent cases and the before-discharge blood tests of controls.

The laboratory results consisted of NCP virus-specific immunoglobulin G (IgG), NCP virus-specific IgM, inflammatory factors (interleukin (IL)-2R, IL-6, IL-8 and tumour necrosis factor α (TNF-α)), albumin (ALB, 35–52 g/l), alanine transaminase (ALT, ⩽33 U/l), aspartate transaminase (AST, ⩽32 U/l), alkaline phosphatase (ALP, 35–105 U/l), γ-glutamyltransferase (GGT, 6–42 U/l), creatine kinase (CK, ⩽170 U/l), lactate dehydrogenase (LDH, 135–214U /l), blood urea nitrogen (BUN, 3.1–8.8 mmol/l), serum creatinine (Scr, 45–84 μmol/l), blood cell count, coagulation markers, myocardial markers, lymphocyte subsets and so on. Zhonghua Lin and Te Shi checked the dates of collection independently and entered into the database.

Statistical analysis

All statistical analyses were performed using Statistical Package for the Social Sciences (SPSS), version 22.0, statistical software (SPSS Inc., Chicago, IL, USA). Continuous variables were showed as mean ± standard deviation, and the Student's t test or paired-samples t test was done. The χ 2 test or Fisher's exact test was used to analyse categorical variables and represented as numbers and percentages. A value of P < 0.05 was considered statistically significant.

Results

Basic clinical and demographic characteristics of recurrent cases and control cases

A total of 44 recurrent cases of COVID-19 and 32 control cases admitted to the Guanggu Campus of Tongji Hospital affiliated to Tongji Medical College Huazhong University of Science and Technology from 11 February to 29 March 2020 were recruited for this study. The recurrent cases were considered to be mild to moderate when admitted for the second time. The recurrence group had 17 (38.64%), and the control group had 15 (46.88%) male patients (Table 1). The gender distribution did not show statistical difference (χ 2 = 0.516, P = 0.473). The mean ages of recurrent and control cases were 49.68 ± 16.80 and 51.12 ± 15.02 years, which was not significantly different from the control cases (t = −0.386, P = 0.700). No significant difference was observed in BMI between recurrent cases and control cases (24.10 ± 3.43 vs. 23.98 ± 3.20, P = 0.911).

Table 1. Basic clinical and demographic characteristics of recurrent cases and control cases

HBsAg, hepatitis B virus surface antigen.

Overall, at least one concomitant disease was observed in 23 (52.27%) recurrent cases and 11 (34.38%) control cases, however, the difference was not statistically significant (χ 2 = 2.4, P = 0.121). Hypertension (12, 27.27%) was the most frequent comorbidity observed in recurrent cases. Other relatively common concomitant diseases were diabetes mellitus (4, 9.09%), cardiovascular disease (3, 6.82%), chronic lung diseases (3, 6.82%) and hyperlipidaemia (2, 4.55%). Diabetes mellitus (4, 12.50%) and hypertension (4, 12.50%) being more common than other comorbidities (chronic lung diseases, urinary system disease and gastrointestinal diseases). Some of the rare comorbidities observed among recurrent cases are urinary system disease, gastrointestinal diseases, HBsAg positivity, thrombocytopenia, hypothyroidism and arthrolithiasis.

Among both, fever and cough were the most prevalent clinical symptoms observed in recurrent cases (28 (63.64%), 27 (61.36%)) and control cases (25 (78.13%), 21 (65.63%)). Other common symptoms at onset included shortness of breath (17, 38.64%), fatigue (8, 18.18%) and gastrointestinal symptoms (9, 20.45%), along with poor appetite, diarrhoea, nausea and vomiting. Less prevalent symptoms included myalgia (6 (13.64%) vs. 6 (18.75%)) and dizziness (3 (6.82%) vs. 2 (6.25%)).

Laboratory parameters of recurrent cases and control cases

Elevated concentrations of ALT (35.19 ± 37.99 vs. 20.16 ± 12.79, t = 2.393, P = 0.020) and AST (25.12 ± 18.35 vs. 16.88 ± 4.46, t = 2.805, P = 0.007) were observed in recurrent cases when compared with controls. Abnormal concentrations of ALT (>33 U/l) were observed in 13 (13/42, 30.95%, 35–218 U/l) recurrent cases and 3 (3/32, 9.38%, 42–62 U/l) control cases (Table 2). Subgroup analysis showed mild elevated concentrations of ALT within 1–3 × ULN in recurrent patients (11/13, 84.62%), and moderate abnormal concentrations of ALT higher than 3 × ULN were seen only in few (2/13, 15.38%) patients. All of the three control cases had mild elevated concentrations of ALT within 1–3 × ULN. A noticeable difference in increase in concentrations of AST (6/42, 14.29%, 33–118 U/l vs. 0, 00%, P = 0.033) was observed. Of six recurrent cases, five (83.33%) had mild elevated concentrations of AST within 1–3 × ULN at subgroup analysis, and one (16.67%) had moderate abnormal concentrations of AST higher than 3 × ULN. Control cases did not show abnormal concentrations of AST. However, the difference in the increase in serum ALP and GGT levels between the two groups did not reach significance (both P > 0.05). Mild elevated serum ALP and GGT levels within 1–3 × ULN were seen in all cases. In addition, no significant difference was observed in the concentrations of ALB, CK, LDH, BUN, Scr and eGFR between recurrent cases and control cases (all P > 0.05, Table 3).

Table 2. Comparison of liver function transaminase of recurrent cases and control cases

ALT, alanine aminotransferase; AST, aspartate aminotransferase; ALP, alkaline phosphatase; GGT, γ-glutamyltransferase; *P < 0.05.

Table 3. Laboratory parameters of recurrent cases and control cases

*p < 0.05.

Concentrations of NCP virus-specific IgM and IgG were observed to be higher in recurrent cases compared to control cases (Table 3) but were not statistically significant (t = 0.508, P = 0.613, t = 1.250, P = 0.215). Interestingly, concentrations of platelet (PLT) counts were observed to be lower in recurrent cases than that in control cases (222.00 ± 55.95 × 109/l vs. 254.03 ± 49.66 × 109/l, t = −2.582, P = 0.012). However, only one patient belonging to the recurrent group represented thrombocytopenia (PLT count: 52 × 109/l < 100 × 109/l). In addition, no significant differences (all P > 0.05) were observed in both groups regarding other blood cell count (white blood cell, neutrophil, eosinophil, lymphocyte). Similarly, no significant differences (all P > 0.05) in concentrations of IL-2-receptor, IL-6, IL-8 and TNF-α between the two groups were observed. Of cases with available data, differences regarding coagulation parameters, myocardial markers, N-terminal pro-brain natriuretic peptide concentrations and lymphocyte were considered non-significant (all P > 0.05). In addition, the pulmonary imaging indicated that the recurrent cases were observed to be in the absorptive stage of viral infection.

In addition, multivariate analysis showed that the predictive value of elevated concentrations of ALT for the risk of ‘recurrence’ of COVID-19 did not reach statistical significance (OR = 1.040, 95% confidence interval 0.985–1.099, P = 0.157, Table 4). Delightingly, multivariate analysis showed that elevated concentrations of AST may be recognised as an independent risk factor of ‘recurrence’ of COVID-19 (OR = 1.175, 95% confidence interval 1.002–1.379, P = 0.047, Table 5).

Table 4. Multivariate analysis of the ALT prediction of ‘recurrence’ of COVID-19

ALT, alanine aminotransferase; PLT, platelets; 95% CI, 95% confidence interval.

Table 5. Multivariate analysis of the AST prediction of ‘recurrence’ of COVID-19

AST, aspartate aminotransferase; PLT, platelets; 95% CI, 95% confidence interval.

Discussion

This study retrospectively reviewed the clinical and demographic characteristics and laboratory parameters of the recurrent cases of COVID-19. Various concomitant diseases and markedly elevated concentrations of ALT and AST were observed in recurrent cases of COVID-19 than those in control cases. Fever and cough were the most prevalent clinical symptoms observed. This study data showed that elevated concentrations of ALT and AST may predict the risk of ‘recurrence’ of COVID-19, which may provide insights into the prevention and control of COVID-19 in the future.

Concerns were aroused on the ‘recurrence’ of disease in patients who had recovered from COVID-19 infections that weather these cases still may be SARS-CoV-2 carriers and needed additional monitoring, isolation and precautions. It is also observed that some COVID-19 recovery cases may experience a fluctuating period between the relief of clinical symptoms or pulmonary imaging and real recovery from SARS-CoV-2 infections. Some studies have reported that the clinical features and the potential risk factors of SARS-CoV-2 turned positive in patients after they were discharged [Reference Ye7Reference Lan17]. The reported recurrence rate ranged from 9.09% to 21.43% [Reference Ye7, Reference Yuan12, Reference Xiao, Tong and Zhang16]. This study is one of the studies that recruited the largest size of recurrent cases of COVID-19 till to now. All the 44 recurrent patients from COVID-19 infections, who were recruited for this study, met the discharge criteria while they showed positive for nucleic acid tests post isolation. None of these cases showed aggravating clinical symptoms, which was similar to the results demonstrated by Yuan et al. [Reference Yuan12]. Recent studies reported that fever and cough were the main clinical symptoms observed in COVID-19 patients, who tested positive after discharge [Reference Cao11Reference Chen13, Reference Li15], which is similar to the results obtained in our study (fever (28, 63.64% vs. 25, 78.13%) and cough (27, 61.36% vs. 21, 65.63%)). However, the differences were not statistically significant. Moreover, recurrent patients in this study represented more concomitant diseases (23, 52.27% vs. 11, 34.38%), no matter in the number of patients with comorbidities or in the types of comorbidities. Among them, the most prevalent comorbidity was hypertension. These results were similar to the results by Zhou et al., which suggested that COVID-19 patients suffering from the basic concomitant disease may have a higher risk of recurrence [Reference Zhou, Liu and Liu18]. However, to further evaluate the potential significance, a larger sample of discharged COVID-19 patients with a longer follow-up period was needed.

Notably, along with respiratory symptoms, including fever, dry cough and dyspnoea primarily [6], COVID-19 patients also presented some cases of varying degrees of abnormal liver enzymes throughout the disease [Reference Guan19Reference Chen25]. Wang and coworkers summarised that approximately 14–51% of COVID-19 patients had abnormal concentrations of ALT and AST [Reference Zhang, Shi and Wang26]. The study by Ning and coworkers reported that 52% of deceased patients with COVID-19 represented abnormal serum AST levels (>40 U/l), indicating that severe COVID-19 patients tend to have higher rates of abnormal liver enzymes [Reference Chen25]. This result was in agreement with a prospective study performed by Huang et al. [Reference Huang27] and a recent systematic review about COVID-19 and liver function conducted by Kukla et al. [Reference Kukla24]. Abnormal liver enzymes in patients with COVID-19 were demonstrated by some potential mechanisms. First is the SARS-CoV-2 viral infection directly on liver cells. Previous studies have demonstrated that SARS-CoV-2 may directly target the angiotensin-converting enzyme 2 (ACE2)-positive cholangiocytes, which induces hepatic injury [Reference Chai28, Reference Guan29]. The most recent study in J Hepatol by Zhao and coworkers [Reference Wang30] reported that numerous intact coronavirus particles ranging between 70 and 120 nm in the cytoplasm of hepatocytes were observed by the transmission electron microscope, suggesting a direct cytopathic lesion on liver cells caused by SARS-CoV-2 infection. These findings indicated that direct SARS-CoV-2 infection was a crucial cause of COVID-19-related abnormal liver enzymes. In addition, other potential causes were cytokine storm-associated systemic inflammatory response syndrome, hyperactivated immune responses, psychological stress, hepatic ischemia, and hypoxia-reperfusion dysfunction, progression of pre-existing liver diseases and drug-induced liver injury [Reference Xiao, Tong and Zhang16, Reference Li and Fan31Reference Feng34].

Interestingly, elevated concentrations of ALT and AST in recurrent cases compared with the control cases (t ALT = 2.393, P = 0.020; t AST = 2.805, P = 0.007) were shown. In addition, mild to moderate abnormal concentrations of ALT and AST in recurrent cases were observed in the subgroup analysis. Delightingly, multivariate analysis showed that elevated concentrations of AST may be recognised as an independent risk factor of ‘recurrence’ of COVID-19. However, multivariate analysis showed that the predictive value of elevated concentrations of ALT for the risk of ‘recurrence’ of COVID-19 did not reach statistical significance. These results indicated that ‘recurrence’ of COVID-19 may be a complex disease process with multiple factors. However, the study by Li et al. summarised that all recruited 13 discharged patients from COVID-19 infections had normal transaminase concentrations [Reference Li15]. Subsequently, Ye et al. reported that all five recurrent COVID-19 patients had normal ALT and AST serum levels [Reference Ye7]. Similarly, a recent retrospective study showed that one patient admitted for the second time with positive RT-PCR test of SARS-CoV-2 after discharge represented elevated serum levels of ALT and AST [Reference Cao11]. More importantly, except for one recurrence case with HBsAg positivity, the majority of the recruited cases had no basic liver diseases. Our data suggested that elevated concentrations of ALT and AST may be recognised as predictive markers for the ‘recurrence’ of COVID-19. The most recent study in Hepatology by Hundt et al. in 29 July 2020 reported that abnormal liver tests were commonly observed in hospitalised patients with COVID-19, both at admission (AST 66.9%, ALT 41.6%) and peak hospitalisation (AST 83.4%, ALT 61.6%) [Reference Hundt35]. In addition, multivariate analysis revealed an association between abnormal liver tests and severe COVID-19, including ICU admission, mechanical ventilation and death, which suggested that abnormal liver tests may be associated with poorer clinical outcomes, which suggested that abnormal liver tests may be associated with poorer clinical outcomes [Reference Hundt35]. These data further demonstrated the predictive value of elevated concentrations of ALT and AST in the progression and prognosis, as well as the ‘recurrence’ of COVID-19. In addition, there is no evidence to clarify whether these readmitted COVID-19 patients with positive RT-PCR test of SARS-CoV-2 were infectious, or they became chronic SARS-CoV-2 carriers in the future. All the recurrent cases in this study were managed based on the principle of prevention and treatment of COVID-19. To our delight, all the recurrent patients reached the standard of symptom relief and discharge criteria according to the diagnosis and treatment protocol for NCP (trial version 7) released by the National Health Commission and National Administration of Traditional Chinese Medicine. However, there are several limitations to our study. The recovery rate could not be calculated in this study due to: (i) first admissions of some recurrent patients were not in Guanggu Campus of Tongji Hospital; (ii) patients not discharged from different hospitals were integrated at the end of March according to the unified arrangement of ‘Wuhan and Hubei defense Wars’. Some severe cases and some patients who were not discharged from the Guanggu Campus of Tongji Hospital were transferred to the Zhongfaxincheng Campus of Tongji Hospital.

In conclusion, this study showed the clinical and laboratory characteristics of recurrent cases of COVID-19. More importantly, our study results suggested that elevated concentrations of ALT and AST may be recognised as predictive markers for the risk of ‘recurrence’ of COVID-19, which, in turn, may provide certain insights into the prevention and control of this infectious and fatal disease in the future. To further understand the progression and prognosis of COVID-19, a larger cohort of recovery COVID-19 patients with a longer and standard follow-up period was needed, such that the recurrence rate can be reduced.

Acknowledgements

We thank all the participating patients from Guanggu Campus of Tongji Hospital affiliated to Tongji Medical College Huazhong University of Science and Technology, as well as the members of the seventh aid medical team in Hubei Province from Shandong Province.

Financial support

This study was supported by the National Natural Science Foundation of China (grant number 31770837).

Conflict of interest

All authors declare that they have no competing interests.

Data

All data generated or analysed during this study are included in this article.

References

Zhu, N et al. (2020) A novel coronavirus from patients with pneumonia in China, 2019. The New England Journal of Medicine 382, 727733.CrossRefGoogle Scholar
Tan, WJ et al. (2020) A novel coronavirus genome identified in a cluster of pneumonia cases – Wuhan, China 2019–2020. China CDC Weekly 2, 6162.CrossRefGoogle Scholar
World Health Organization. Statement on the second meeting of the International Health Regulations (2005) Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV). 2020. https://www.who.int/news-room/detail/30-01-2020-statement-on-the-second-meeting-of-the-international-health-regulations-(2005)-emergency-committee-regarding-the-outbreak-of-novel-coronavirus-(2019-ncov). Published 30 January 2020.Google Scholar
World Health Organization. WHO Director-General's opening remarks at the media briefing on COVID-19 - 11 March 2020. 2020. https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020. Published 11 March 2020.Google Scholar
World Health Organization. Coronavirus disease (COVID-19) outbreak. 2020. Available at https://www.who.int.Google Scholar
National Health Commission & National Administration of Traditional Chinese Medicine (2020) Diagnosis and treatment protocol for novel coronavirus pneumonia (trial version 7). Chinese Medical Journal 133, 10871095.CrossRefGoogle Scholar
Ye, GM et al. (2020) Clinical characteristics of severe acute respiratory syndrome coronavirus 2 reactivation. The Journal of Infection 80, e14e17.CrossRefGoogle ScholarPubMed
Ravioli, S, Ochsner, H and Lindner, G (2020) Reactivation of COVID-19 pneumonia: a report of two cases. The Journal of Infection S0163–4453, 30279–6.Google Scholar
Loconsole, D et al. (2020) Recurrence of COVID-19 after recovery: a case report from Italy. Infection, 13.Google ScholarPubMed
Hoang, VT, Dao, TL and Gautret, P (2020) Recurrence of positive SARS-CoV-2 in patients recovered from COVID-19. Journal of Medical Virology. doi: 10.1002/jmv.26056.CrossRefGoogle ScholarPubMed
Cao, H et al. (2020) The clinical characteristic of eight patients of COVID-19 with positive RT-PCR test after discharge. Journal of Medical Virology. doi: 10.1002/jmv.26017.CrossRefGoogle ScholarPubMed
Yuan, J et al. (2020) PCR assays turned positive in 25 discharged COVID-19 patients. Clinical Infectious Disease, ciaa398.CrossRefGoogle ScholarPubMed
Chen, M et al. (2020) Clinical characteristics of rehospitalized patients with COVID-19 in China. Journal of Medical Virology. doi: 10.1002/jmv.26002.CrossRefGoogle ScholarPubMed
Jiang, ML et al. (2020) Recurrent PCR positivity after hospital discharge of people with coronavirus disease 2019 (COVID-19). The Journal of Infection 81, 147178.CrossRefGoogle Scholar
Li, YJ et al. (2020) Positive result of Sars-Cov-2 in faeces and sputum from discharged patient with COVID-19 in Yiwu, China. Journal of Medical Virology. doi: 10.1002/jmv.25905.Google ScholarPubMed
Xiao, AT, Tong, YX and Zhang, S (2020) False-negative of RT-PCR and prolonged nucleic acid conversion in COVID-19: rather than recurrence. Journal of Medical Virology. doi: 10.1002/jmv.25855.CrossRefGoogle ScholarPubMed
Lan, L et al. (2020) Positive RT-PCR test results in patients recovered from COVID-19. JAMA 323, 15021503.CrossRefGoogle ScholarPubMed
Zhou, L, Liu, K and Liu, HG (2020) Cause analysis and treatment strategies of ‘recurrence’ with novel coronavirus pneumonia (COVID-19) patients after discharge from hospital. Zhonghua Jie He He Hu Xi Za Zhi 43, 281284.Google ScholarPubMed
Guan, WJ et al. (2020) Clinical characteristics of coronavirus disease 2019 in China. The New England Journal of Medicine 382, 17081720.CrossRefGoogle ScholarPubMed
Wang, DW et al. (2020) Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China. JAMA 323, 10611069.CrossRefGoogle ScholarPubMed
Chen, NS et al. (2020) Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet (London, England) 395, 507513.CrossRefGoogle ScholarPubMed
Fan, ZY et al. (2020) Clinical features of COVID-19-related liver functional abnormality. Clinical Gastroenterology and Hepatology 18, 15611566.CrossRefGoogle ScholarPubMed
Cai, QX et al. (2020) COVID-19: abnormal liver function tests. Journal of Hepatology S0168–8278, 30218-X.Google Scholar
Kukla, M et al. (2020) COVID-19 and liver dysfunction: a systematic review and meta-analysis of retrospective studies. Journal of Medical Virology. doi: 10.1002/jmv.26055.Google Scholar
Chen, T et al. (2020) Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective study. BMJ 368, m1091.CrossRefGoogle ScholarPubMed
Zhang, C, Shi, L and Wang, FS (2020) Liver injury in COVID-19: management and challenges. The Lancet Gastroenterology & Hepatology 5, 428430.CrossRefGoogle ScholarPubMed
Huang, CL et al. (2020) Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet (London, England) 395, 497506.CrossRefGoogle ScholarPubMed
Chai, XQ et al. (2020) Specific ACE2 expression in cholangiocytes may cause liver damage after 2019-nCoV infection. bio-Rxiv. https://doi.org/10.1101/2020.02.03.931766.CrossRefGoogle Scholar
Guan, GW et al. (2020) Exploring the mechanism of liver enzyme abnormalities in patients with novel coronavirus-infected pneumonia. Zhonghua Gan Zang Bing Za Zhi 28, 100106.Google ScholarPubMed
Wang, YJ et al. (2020) SARS-CoV-2 infection of the liver directly contributes to hepatic impairment in patients with COVID-19. Journal of Hepatology S0168–8278, 30294–4.Google Scholar
Li, J and Fan, JG (2020) Characteristics and mechanism of liver injury in 2019 coronavirus disease. Journal of Clinical and Translational Hepatology 8, 1317.CrossRefGoogle ScholarPubMed
Cao, B et al. (2020) A trial of lopinavir-ritonavir in adults hospitalized with severe covid-19. The New England Journal of Medicine 382, 17871799.CrossRefGoogle ScholarPubMed
Prompetchara, E, Ketloy, C and Palaga, T (2020) Immune responses in COVID-19 and potential vaccines: lessons learned from SARS and MERS epidemic. Asian Pacific Journal of Allergy and Immunology 38, 19.Google ScholarPubMed
Feng, G et al. (2020) COVID-19 and liver dysfunction: current insights and emergent therapeutic strategies. Journal of Clinical and Translational Hepatology 8, 1824.CrossRefGoogle ScholarPubMed
Hundt, MA et al. (2020) Abnormal liver tests in COVID-19: a retrospective observational cohort study of 1827 patients in a major U.S. Hospital network. Hepatology. [published online ahead of print, 2020 Jul 29].CrossRefGoogle Scholar
Figure 0

Table 1. Basic clinical and demographic characteristics of recurrent cases and control cases

Figure 1

Table 2. Comparison of liver function transaminase of recurrent cases and control cases

Figure 2

Table 3. Laboratory parameters of recurrent cases and control cases

Figure 3

Table 4. Multivariate analysis of the ALT prediction of ‘recurrence’ of COVID-19

Figure 4

Table 5. Multivariate analysis of the AST prediction of ‘recurrence’ of COVID-19