ABSTRACT
BACKGROUND AND PURPOSE: The coronavirus disease 2019 (COVID-19) pandemic presents an unprecedented health crisis to the entire world. As reported, the body mass index (BMI) may play an important role in COVID-19; however, this still remains unclear. The aim of this study was to explore the association between BMI and COVID-19 severity and mortality. METHODS: The Medline, PubMed, Embase and Web of science were systematically searched until August 2020. Random-effects models and dose-response meta-analysis were used to synthesize the results. Combined odds ratios (ORs) with their 95% confidence intervals (CIs) were calculated, and the effect of covariates were analyzed using subgroup analysis and meta-regression analyses. RESULTS: A total of 16 observational studies involving 109,881 patients with COVID-19 were included in the meta-analysis. The pooled results showed that patients with a BMIâ¯≥â¯30â¯kg/m2 had a 2.35-fold risk (ORâ¯=â¯2.35, 95%CIâ¯=â¯1.64-3.38, Pâ¯<â¯0.001) for critical COVID-19 and a 2.68-fold risk for COVID-19 mortality (ORâ¯=â¯2.68, 95%CIâ¯=â¯1.65-4.37, Pâ¯<â¯0.001) compared with patients with a BMI <30â¯kg/m2. Subgroup analysis results showed that patients with obesity and ageâ¯>â¯60â¯years was associated with a significantly increased risk of critical COVID-19 (ORâ¯=â¯3.11, 95%CIâ¯=â¯1.73-5.61, Pâ¯<â¯0.001) and COVID-19 mortality (ORâ¯=â¯3.93, 95%CIâ¯=â¯2.18-7.09, Pâ¯<â¯0.001). Meta-regression analysis results also showed that age had a significant influence on the association between BMI and COVID-19 mortality (Coef.â¯=â¯0.036, Pâ¯=â¯0.048). Random-effects dose-response meta-analysis showed a linear association between BMI and both critical COVID-19(Pnon-linearityâ¯=â¯0.242) and mortality (Pnon-linearityâ¯=â¯0.116). The risk of critical COVID-19 and mortality increased by 9%(ORâ¯=â¯1.09, 95%CIâ¯=â¯1.04-1.14, Pâ¯<â¯0.001) and 6%(ORâ¯=â¯1.06, 95%CIâ¯=â¯1.02-1.10, Pâ¯=â¯0.002) for each 1â¯kg/m2 increase in BMI, respectively. CONCLUSIONS: Evidence from this meta-analysis suggested that a linear dose-response association between BMI and both COVID-19 severity and mortality. Further, obesity (BMIâ¯≥â¯30â¯kg/m2) was associated with a significantly increased risk of critical COVID-19 and in-hospital mortality of COVID-19.
Subject(s)
Body Mass Index , COVID-19/epidemiology , COVID-19/pathology , Critical Illness/epidemiology , Hospital Mortality , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19/mortality , COVID-19/therapy , Comorbidity , Critical Illness/mortality , Female , Humans , Male , Middle Aged , Obesity/epidemiology , Obesity/mortality , Obesity/pathology , Observational Studies as Topic/statistics & numerical data , SARS-CoV-2/physiology , Severity of Illness Index , Young AdultABSTRACT
Background Coronavirus disease 2019 (COVID-19) has been highly epidemic in China since January 2020. Rapid detection of the causative agent, severe acute respiratory coronavirus-2 (SARS-CoV-2), is very important due to its high rate of infectivity. This study aimed to clarify the epidemiology and clinical characteristics of COVID-19 outside of Hubei province, China, and to optimize screening strategies for COVID-19 in attempts to contain spread of the virus. Methods This retrospective study included all confirmed cases of COVID-19 in Hunan Provincial People's Hospital (Changsha, China) between January 22 and February 15, 2020. All cases were detected using a real-time reverse transcription polymerase chain reaction assay. The epidemiology and clinical characteristic of these cases were investigated according to outcome in attempts to optimize screening strategies for COVID-19. Results There were 24 confirmed cases of COVID-19 in the fever outpatient department of Hunan Provincial People's Hospital. Three patients were asymptomatic, and 3 exhibited mild and 3 moderate disease. There was a family cluster phenomenon. Conclusion Individuals with COVID-19 can be asymptomatic or exhibit mild manifestations of disease. Close monitoring and an optimized screening strategy for COVID-19 could help deter spread of the virus.