Immuno-inflammatory predictors of disease severity in COVID-19: A systematic review and meta-analysis.
meta_analysis · Level I
Where this comes from
- Record sourced from PubMed, PMID 34041137.
- Also identified by DOI 10.4103/jfmpc.jfmpc_2196_20 and PMC identifier 8140259.
- Licence recorded as CC BY-NC-SA.
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Abstract
Deregulated immune response and raised inflammation are the cardinal laboratory features in COVID-19 infection reflecting severity of condition. Detection of the markers will help in early diagnosis with timely therapeutic implementation and effective outcome. Observational studies have suggested alteration in these parameters with severity of the condition. This systematic review and meta-analysis was conducted to assess the relevance of the fact. Observational studies from databases were scrutinised and 3669 articles were identified. Further screening, based on the inclusion criteria a total of 19 articles with 3115 participants, were reviewed for meta-analysis using random effects model. Any data in median and interquartile range were converted to mean ± SD. There was a significant rise in total leukocyte count, C-reactive protein, ferritin, IL-6, IL-10, procalcitonin in severe cases but absolute lymphocyte count, CD4+ and CD8+ registered a fall in severe cases in comparison to non-severe group. Immune and inflammatory markers are significantly altered and related to severity of manifestation in COVID-19 infection.