Liver Chemistries in Patients with Severe or Non-severe COVID-19: A Meta-Analysis

  1. Xuan Dong
  2. Dan-Yi Zeng
  3. Yan-Yan Cai
  4. Wei-Ming Chen
  5. Qing-Qing Xing
  6. Yan-Dan Ren
  7. Mei-Zhu Hong
  8. Jin-Shui Pan

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Abstract

Background and Aims

Cumulating observations have indicated that patients with coronavirus disease (COVID-19) undergo different patterns of liver impairment. We performed a meta-analysis of published liver manifestations and described the liver damage in COVID-19.

Methods

We searched PubMed, Google Scholar, Embase, Cochrane Library, medRxiv, bioRxiv, and three Chinese electronic databases through April 18, 2020, in accordance with the Preferred Reporting Items for Meta-Analyses. We analyzed pooled data on liver chemistries stratified by COVID-19 severity using a fixed or random-effects model.

Results

In the meta-analysis of 37 studies, which included a total of 6,235 patients, the pooled mean alanine aminotransferase (ALT) was 36.4 IU/L in the severe COVID-19 cases and 27.8 IU/L in the non-severe cases (95% confidence interval [CI]: − 9.4 to − 5.1, p < 0.0001). The pooled mean aspartate aminotransferase (AST) was 46.8 IU/L in the severe cases and 30.4 IU/L in the non-severe cases (95% CI: − 15.1 to − 10.4, p < 0.0001). Furthermore, regardless of disease severity, the AST level is often higher than the ALT level. Compared with the non-severe cases, the severe cases tended to have higher γ-glutamyltransferase levels but lower albumin levels.

Conclusions

In this meta-analysis, we comprehensively described three patterns of liver impairment related to COVID-19, namely hepatocellular injury, cholestasis, and hepatocellular disfunction, according to COVID-19 severity. Patients with abnormal liver test results are at higher risk of progression to severe disease. Close monitoring of liver chemistries provides an early warning against disease progression.

Lay Summary

Data on abnormal liver chemistries related to coronavirus disease (COVID-19) are cumulating but are potentially confusing. We performed a meta-analysis of 37 studies that included a total of 6,235 patients with COVID-19. We noted that patients with abnormal liver test results are at higher risk of progression to severe disease and close monitoring of liver chemistries provides early warning against disease progression.

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  1. ScreenIT

    SciScore for 10.1101/2020.04.24.20074179: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Studies selection: The following databases were searched from December 1, 2019, through April 18, 2020: PubMed, Google Scholar, Embase, Cochrane Library, medRxiv, bioRxiv, and three Chinese electronic databases (CQVIP, Wanfang Data, and Chinese National Knowledge Infrastructure). “Coronavirus,” “COVID-19,” “2019-nCoV-2,” “SARS-CoV-2,” or novel coronavirus were used as search keywords.
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Google Scholar
    suggested: (Google Scholar, RRID:SCR_008878)
    Embase
    suggested: (EMBASE, RRID:SCR_001650)
    Cochrane Library
    suggested: (Cochrane Library, RRID:SCR_013000)
    bioRxiv
    suggested: (bioRxiv, RRID:SCR_003933)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

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  2. Version published to 10.1101/2020.04.24.20074179 on medRxiv