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Prevalence of co-morbidities and their association with mortality in patients with COVID-19: A systematic review and meta-analysis.
Singh, Awadhesh K; Gillies, Clare L; Singh, Ritu; Singh, Akriti; Chudasama, Yogini; Coles, Briana; Seidu, Sam; Zaccardi, Francesco; Davies, Melanie J; Khunti, Kamlesh.
  • Singh AK; GD Hospital & Diabetes Institute, Kolkata, India.
  • Gillies CL; Leicester Real World Evidence Unit, Leicester Diabetes Centre, Leicester, UK.
  • Singh R; National Institute for Health Research (NIHR) Applied Research Collaboration - East Midlands (ARC-EM), Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK.
  • Singh A; GD Hospital & Diabetes Institute, Kolkata, India.
  • Chudasama Y; College of Medicine and JNM Hospital, Kalyani, Nadia, West Bengal, India.
  • Coles B; Leicester Real World Evidence Unit, Leicester Diabetes Centre, Leicester, UK.
  • Seidu S; National Institute for Health Research (NIHR) Applied Research Collaboration - East Midlands (ARC-EM), Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK.
  • Zaccardi F; Leicester Real World Evidence Unit, Leicester Diabetes Centre, Leicester, UK.
  • Davies MJ; Leicester Real World Evidence Unit, Leicester Diabetes Centre, Leicester, UK.
  • Khunti K; National Institute for Health Research (NIHR) Applied Research Collaboration - East Midlands (ARC-EM), Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK.
Diabetes Obes Metab ; 22(10): 1915-1924, 2020 10.
Article in English | MEDLINE | ID: covidwho-657128
ABSTRACT

AIM:

To estimate the prevalence of both cardiometabolic and other co-morbidities in patients with COVID-19, and to estimate the increased risk of severity of disease and mortality in people with co-morbidities. MATERIALS AND

METHODS:

Medline, Scopus and the World Health Organization website were searched for global research on COVID-19 conducted from January 2019 up to 23 April 2020. Study inclusion was restricted to English language publications, original articles that reported the prevalence of co-morbidities in individuals with COVID-19, and case series including more than 10 patients. Eighteen studies were selected for inclusion. Data were analysed using random effects meta-analysis models.

RESULTS:

Eighteen studies with a total of 14 558 individuals were identified. The pooled prevalence for co-morbidities in patients with COVID-19 disease was 22.9% (95% CI 15.8 to 29.9) for hypertension, 11.5% (9.7 to 13.4) for diabetes, and 9.7% (6.8 to 12.6) for cardiovascular disease (CVD). For chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD), cerebrovascular disease and cancer, the pooled prevalences were all less than 4%. With the exception of cerebrovascular disease, all the other co-morbidities presented a significantly increased risk for having severe COVID-19. In addition, the risk of mortality was significantly increased in individuals with CVD, COPD, CKD, cerebrovascular disease and cancer.

CONCLUSIONS:

In individuals with COVID-19, the presence of co-morbidities (both cardiometabolic and other) is associated with a higher risk of severe COVID-19 and mortality. These findings have important implications for public health with regard to risk stratification and future planning.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Topics: Long Covid Limits: Humans Language: English Journal: Diabetes Obes Metab Journal subject: Endocrinology / Metabolism Year: 2020 Document Type: Article Affiliation country: Dom.14124

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Topics: Long Covid Limits: Humans Language: English Journal: Diabetes Obes Metab Journal subject: Endocrinology / Metabolism Year: 2020 Document Type: Article Affiliation country: Dom.14124