Abstract Background Low skeletal muscle mass (LSMM) and visceral fat areas can be assessed by cross‐sectional images. These parameters are associated with several clinically relevant factors in various disorders with predictive and prognostic implications. Our aim was to establish the effect of computed tomography (CT)‐defined LSMM and fat areas on unfavourable outcomes and in‐hospital mortality in coronavirus disease 2019 (COVID‐19) patients based on a large patient sample. Methods MEDLINE library, Cochrane, and Scopus databases were screened for the associations between CT‐defined LSMM as well as fat areas and in‐hospital mortality in COVID‐19 patients up to September 2021. In total, six studies were suitable for the analysis and included into the present analysis. Results The included studies comprised 1059 patients, 591 men (55.8%) and 468 women (44.2%), with a mean age of 60.1 years ranging from 48 to 66 years. The pooled prevalence of LSMM was 33.6%. The pooled odds ratio for the effect of LSMM on in‐hospital mortality in univariate analysis was 5.84 [95% confidence interval (CI) 1.07–31.83]. It was 2.73 (95% CI 0.54–13.70) in multivariate analysis. The pooled odds ratio of high visceral fat area on unfavourable outcome in univariate analysis was 2.65 (95% CI 1.57–4.47). Conclusions Computed tomography‐defined LSMM and high visceral fat area have a relevant association with in‐hospital mortality in COVID‐19 patients and should be included as relevant prognostic biomarkers into clinical routine.
【저자키워드】 COVID‐19, sarcopenia, systematic review, meta‐analysis, Visceral fat area, 【초록키워드】 coronavirus disease, Mortality, outcome, database, COVID‐19, Prevalence, Computed tomography, Patient, age, women, prognostic, patients, prognostic biomarker, association, Analysis, Odds ratio, Predictive, Skeletal muscle, confidence interval, Factor, Implications, 95% CI, disorder, Univariate analysis, parameter, men, fat, Result, clinically, screened, COVID‐19 patient, visceral, 【제목키워드】 coronavirus disease, Mortality, outcome, Prognostic marker, body composition,