Relationship between hyperglycemia, waist circumference, and the course of COVID-19: Mortality risk assessment.
Mykola KhalangotNadiia SheichenkoVitaliy GurianovViola VlasenkoYulia KurinnaOksana SamsonMykola D TronkoPublished in: Experimental biology and medicine (Maywood, N.J.) (2021)
An observational study was conducted in Ukraine to determine the independent mortality risks among adult inpatients with COVID-19. The results of treatment of COVID-19 inpatients (n = 367) are presented, and waist circumference (WC) was measured. Logistic regression analysis was applied to evaluate the effects of factors on the risk of mortality. Odds ratios and 95% CIs for the association were calculated. One hundred and three of 367 subjects had fasting plasma glucose level that met the diabetes mellitus criteria (≥7.0 mmol/L), in 53 patients, diabetes mellitus was previously known. Two hundred and eleven patients did not have diabetes or hyperglycemia. Diabetes mellitus/hyperglycemia odds ratio 2.5 (CI 1.0-6.1), p = 0.045 loses statistical significance after standardization by age, waist circumference or fasting plasma glucose. No effect on gender, body mass index-determined obesity, or hypertension was found. The fasting plasma glucose (>8.5 mmol/L), age (≥61 years), and waist circumference (>105 cm) categories were associated with ORs 6.34 (CI 2.60-15.4); 4.12 (CI 1.37-12.4); 8.93 (CI 3.26-24.5), respectively. The optimal model of mortality risk with AUC 0.86 (CI 0.81-0.91) included the diabetes/heperglycemia and age categories as well as waist circumference as a continued variable. Waist circumference is an independent risk factor for mortality of inpatients with COVID-19.
Keyphrases
- body mass index
- weight gain
- coronavirus disease
- sars cov
- blood glucose
- body weight
- end stage renal disease
- glycemic control
- type diabetes
- cardiovascular events
- physical activity
- risk assessment
- insulin resistance
- newly diagnosed
- ejection fraction
- cardiovascular disease
- chronic kidney disease
- blood pressure
- risk factors
- prognostic factors
- peritoneal dialysis
- adipose tissue
- climate change
- heavy metals
- respiratory syndrome coronavirus
- coronary artery disease