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COVID-19 Severity and Mortality Among Chronic Liver Disease Patients: A Systematic Review and Meta-Analysis

Supporting Files Public Domain
File Language:
English


Details

  • Journal Article:
    Preventing Chronic Disease (PCD)
  • Personal Author:
  • Description:
    Introduction ; Pre-existing comorbid conditions in COVID-19 patients are risk factors for developing severe disease and death. We aimed to determine the association of chronic liver disease (CLD), a comorbid condition, with severity of disease and death among COVID-19 patients. ; Methods ; We searched for studies reporting COVID-19 outcomes among CLD and non-CLD patients in databases including Medline, EMBASE, ScienceDirect, Google Scholar, and Cochrane Library from inception of the pandemic until February 2022. Risk of bias assessment was conducted by using the Newcastle-Ottawa Scale for assessing the quality of nonrandomized studies in meta-analyses. We conducted a meta-analysis with a random-effects model and reported pooled odds ratios (ORs) with 95% CIs. ; Results ; We included 40 studies with 908,032 participants. Most studies were conducted in China and the US. COVID-19 patients with CLD had significantly higher odds of having a severe form of COVID-19 (pooled OR = 2.44; 95% CI, 1.89–3.16) and death (pooled OR = 2.35; 95% CI, 1.85–3.00) when compared with COVID-19 patients without CLD. ; Conclusion ; The presence of CLD is significantly related to adverse clinical outcomes among COVID-19 patients in terms of severity and mortality. Clinicians should develop a comprehensive intervention plan to manage these high-risk patients and reduce COVID-19–related deaths.
  • Subjects:
  • Source:
    Prev Chronic Dis. 2022; 19
  • DOI:
  • ISSN:
    1545-1151
  • Pubmed ID:
    36007255
  • Pubmed Central ID:
    PMC9480842
  • Document Type:
  • Genre:
  • Volume:
    19
  • Download URL:
  • File Type:
    Filetype[PDF - 779.39 KB]
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:22bafdab6a74a815d696f39c92da472e46e71f70fb3fb45f3e8dc0bbd98fd32e180cfce70532614737c13878f9e9eca33fb1d32db2a597060319a11e1d2ba4b3
File Language:
English
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