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Predictors of Severe COVID-19 in Patients With Diabetes: A Multicenter Review.
Kristan, Megan M; Kim, Yoon K; Nelson, Toby; Moxley, Meaghan C; Yip, Terry Cheuk-Fung; Munir, Kashif; Malek, Rana.
  • Kristan MM; University of Maryland School of Medicine, Division of Endocrinology, Diabetes and Nutrition, Baltimore, Maryland. Electronic address: mkristan@som.umaryland.edu.
  • Kim YK; University of Maryland Medical Center, Department of Internal Medicine, Baltimore, Maryland.
  • Nelson T; University of Maryland Medical Center, Department of Internal Medicine, Baltimore, Maryland.
  • Moxley MC; University of Maryland School of Medicine, Division of Endocrinology, Diabetes and Nutrition, Baltimore, Maryland.
  • Yip TC; The Chinese University of Hong Kong. Department of Medicine and Therapeutics, Medical Data Analytics Centre (MDAC), Shatin, Hong Kong.
  • Munir K; University of Maryland School of Medicine, Division of Endocrinology, Diabetes and Nutrition, Baltimore, Maryland.
  • Malek R; University of Maryland School of Medicine, Division of Endocrinology, Diabetes and Nutrition, Baltimore, Maryland. Electronic address: rmalek@som.umaryland.edu.
Endocr Pract ; 27(8): 842-849, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1328716
ABSTRACT

OBJECTIVE:

Diabetes is an independent risk factor for severe SARS-CoV-2 infections. This study aims to elucidate the risk factors predictive of more severe outcomes in patients with diabetes by comparing the clinical characteristics of those requiring inpatient admissions with those who remain outpatient.

METHODS:

A retrospective review identified 832 patients-631 inpatients and 201 outpatients-with diabetes and a positive SARS-CoV-2 test result between March 1 and June 15, 2020. Comparisons between the outpatient and inpatient cohorts were conducted to identify risk factors associated with severity of disease determined by admission rate and mortality. Previous dipeptidyl peptidase 4 inhibitor use and disease outcomes were analyzed.

RESULTS:

Risk factors for increased admission included older age (odds ratio [OR], 1.04 [95% CI, 1.01-1.06]; P = .003), the presence of chronic kidney disease (OR, 2.32 [1.26-4.28]; P = .007), and a higher hemoglobin A1c at the time of admission (OR, 1.25 [1.12-1.39]; P < .001). Lower admission rates were seen in those with commercial insurance. Increased mortality was seen in individuals with older age (OR, 1.09 [1.07-1.11]; P < .001), higher body mass index number (OR, 1.04 [1.01-1.07]; P = .003), and higher hemoglobin A1c value at the time of diagnosis of COVID-19 (OR, 1.12 [1.01-1.24]; P = .028) and patients requiring hospitalization. Lower mortality was seen in those with hyperlipidemia. Dipeptidyl peptidase 4 inhibitor use prior to COVID-19 infection was not associated with a decreased hospitalization rate.

CONCLUSION:

This retrospective review offers the first analysis of outpatient predictors for admission rate and mortality of COVID-19 in patients with diabetes.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Aged / Humans Language: English Journal: Endocr Pract Journal subject: Endocrinology Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / COVID-19 Type of study: Cohort study / Observational study / Prognostic study Limits: Aged / Humans Language: English Journal: Endocr Pract Journal subject: Endocrinology Year: 2021 Document Type: Article