1. 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
- Author
-
Mohammadreza Bozorgmanesh, Hamideh Akbari, Maryam Kabootari, Mitra Hasheminia, Reza Habibi Tirtashi, Farzad Hadaegh, Davood Khalili, and Gholamreza Roshandel
- Subjects
Male ,medicine.medical_specialty ,Type 2 diabetes ,Iran ,Lower risk ,Logistic regression ,Risk Factors ,Internal medicine ,Medicine ,Humans ,Medical history ,Hospital Mortality ,Referral and Consultation ,Aged ,Retrospective Studies ,Original Research ,diabetes ,business.industry ,Public Health, Environmental and Occupational Health ,COVID-19 ,Retrospective cohort study ,General Medicine ,Odds ratio ,Middle Aged ,medicine.disease ,Confidence interval ,Diabetes Mellitus, Type 2 ,Oxygen Saturation ,Population study ,Female ,business ,in-hospital mortality - Abstract
Objectives The aim of this study was to identify risk factors of in-hospital mortality among diabetic patients infected with COVID-19. Study design 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, 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 anti-diabetes drugs and beta-blockers were 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 [1.001–1.003]), potassium (OR 2.02 (95% CI 1.33–3.08]) and fasting plasma glucose (OR 1.04 [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 history and pulse oximetry data, with four non-expensive laboratory measures, was significantly associated with in-hospital COVID-19 mortality.
- Published
- 2021