Your browser doesn't support javascript.
The impact of obesity on severe disease and mortality in people with SARS-CoV-2: A systematic review and meta-analysis.
Seidu, Samuel; Gillies, Clare; Zaccardi, Francesco; Kunutsor, Setor K; Hartmann-Boyce, Jamie; Yates, Thomas; Singh, Awadhesh Kumar; Davies, Melanie J; Khunti, Kamlesh.
  • Seidu S; Diabetes Research Centre Leicester General Hospital University of Leicester Leicester UK.
  • Gillies C; The NIHR Applied Research Collaboration (ARC) East Midlands Leicester General Hospital University of Leicester Leicester UK.
  • Zaccardi F; Diabetes Research Centre Leicester General Hospital University of Leicester Leicester UK.
  • Kunutsor SK; The NIHR Applied Research Collaboration (ARC) East Midlands Leicester General Hospital University of Leicester Leicester UK.
  • Hartmann-Boyce J; Diabetes Research Centre Leicester General Hospital University of Leicester Leicester UK.
  • Yates T; The NIHR Applied Research Collaboration (ARC) East Midlands Leicester General Hospital University of Leicester Leicester UK.
  • Singh AK; National Institute for Health Research Bristol Biomedical Research Centre University Hospitals Bristol NHS Foundation Trust University of Bristol Bristol UK.
  • Davies MJ; Musculoskeletal Research Unit Translational Health Sciences Bristol Medical School Southmead Hospital University of Bristol Bristol UK.
  • Khunti K; Nuffield Department of Primary Care Health Sciences Centre for Evidence-Based Medicine University of Oxford Oxford UK.
Endocrinol Diabetes Metab ; 4(1): e00176, 2021 Jan.
Article in English | MEDLINE | ID: covidwho-1898651
ABSTRACT

Background:

Obesity accompanied by excess ectopic fat storage has been postulated as a risk factor for severe disease in people with SARS-CoV-2 through the stimulation of inflammation, functional immunologic deficit and a pro-thrombotic disseminated intravascular coagulation with associated high rates of venous thromboembolism.

Methods:

Observational studies in COVID-19 patients reporting data on raised body mass index at admission and associated clinical outcomes were identified from MEDLINE, Embase, Web of Science and the Cochrane Library up to 16 May 2020. Mean differences and relative risks (RR) with 95% confidence intervals (CIs) were aggregated using random effects models.

Results:

Eight retrospective cohort studies and one cohort prospective cohort study with data on of 4,920 patients with COVID-19 were eligible. Comparing BMI ≥ 25 vs <25 kg/m2, the RRs (95% CIs) of severe illness and mortality were 2.35 (1.43-3.86) and 3.52 (1.32-9.42), respectively. In a pooled analysis of three studies, the RR (95% CI) of severe illness comparing BMI > 35 vs <25 kg/m2 was 7.04 (2.72-18.20). High levels of statistical heterogeneity were partly explained by age; BMI ≥ 25 kg/m2 was associated with an increased risk of severe illness in older age groups (≥60 years), whereas the association was weaker in younger age groups (<60 years).

Conclusions:

Excess adiposity is a risk factor for severe disease and mortality in people with SARS-CoV-2 infection. This was particularly pronounced in people 60 and older. The increased risk of worse outcomes from SARS-CoV-2 infection in people with excess adiposity should be taken into account when considering individual and population risks and when deciding on which groups to target for public health messaging on prevention and detection measures. Systematic review registration PROSPERO 2020 CRD42020179783.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Journal: Endocrinol Diabetes Metab Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Language: English Journal: Endocrinol Diabetes Metab Year: 2021 Document Type: Article