首页|Clinical features, risk factors and a prediction model for in-hospital mortality among diabetic patients infected with COVID-19: data from a referral centre in Iran
Clinical features, risk factors and a prediction model for in-hospital mortality among diabetic patients infected with COVID-19: data from a referral centre in Iran
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NSTL
Elsevier
? 2021 The Royal Society for Public HealthObjectives: The aim of this study was to identify risk factors of in-hospital mortality among diabetic patients infected with COVID-19. Study design: This is a retrospective cohort study. Methods: Using logistic regression analysis, the independent association of potential prognostic factors and COVID-19 in-hospital mortality was investigated in three models. Model 1 included demographic data and patient history; model 2 consisted of model 1, plus vital signs and pulse oximetry measurements at hospital admission; and model 3 included model 2, plus laboratory test results at hospital admission. The odds ratios (ORs) and 95% confidence intervals (95% CIs) were reported for each predictor in the different models. Moreover, to examine the discriminatory powers of the models, a corrected area under the receiver-operating characteristic curve (AUC) was calculated. Results: Among 560 patients with diabetes (men = 291) who were hospitalised for COVID-19, the mean age of the study population was 61.8 (standard deviation [SD] 13.4) years. During a median length of hospitalisation of 6 days, 165 deaths (men = 93) were recorded. In model 1, age and a history of cognitive impairment were associated with higher mortality; however, taking statins, oral antidiabetic drugs and beta-blockers was associated with a lower risk of mortality (AUC = 0.76). In model 2, adding the data for respiratory rate (OR 1.07 [95% CI 1.00–1.14]) and oxygen saturation (OR 0.95 [95% CI 0.92–0.98]) slightly increased the AUC to 0.80. In model 3, the data for platelet count (OR 0.99 [95% CI 0.99–1.00]), lactate dehydrogenase (OR 1.002 [95% CI 1.001–1.003]), potassium (OR 2.02 [95% CI 1.33–3.08]) and fasting plasma glucose (OR 1.04 [95% CI 1.02–1.07]) significantly improved the discriminatory power of the model to AUC 0.86 (95% CI 0.83–0.90). Conclusions: Among patients with type 2 diabetes, a combination of past medical and drug history and pulse oximetry data, with four non-expensive laboratory measures, was significantly associated with in-hospital COVID-19 mortality.
COVID-19DiabetesIn-hospital mortality
Kabootari M.、Habibi Tirtashi R.、Hasheminia M.、Bozorgmanesh M.、Khalili D.、Akbari H.、Roshandel G.、Hadaegh F.
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Metabolic Disorders Research Center Golestan University of Medical Sciences
Department of Biostatistics and Epidemiology Research Institute for Endocrine Sciences Shahid
Department of Orthopedic Surgery Arak University of Medical Sciences
Prevention of Metabolic Disorders Research Center Research Institute for Endocrine Sciences Shahid
Golestan Research Center of Gastroenterology and Hepatology Golestan University of Medical Sciences
NSTL
Elsevier
