Evaluation of prognostic indicators for COVID⁃19 patients with diabetes

Abstract

Objective: To retrospectively explore the prognostic indicators of COVID‑19 patients with diabetes. Methods: The clinical data of COVID‑19 patients with diabetes admitted to Huoshenshan Hospital in Wuhan from February 2020 to April 2020 was collected. Patients were divided into survival group and death group according to their outcomes. The differences of various indexes between the two groups were compared and the prognostic factors were screened by multivariate logistic regression analysis. The receiver operation characteristic (ROC) curve was used to evaluate the prognostic value of these factors. Results: Of the 80 patients, 49 were males and 31 were females, with an average age of 65.2 years. There were 61 cases discharged after treatment and 19 cases died. Age, leukocyte count, lymphocyte count, platelet count, C‑reactive protein (CRP), D‑dimer, lactate dehydrogenase(LDH), urea nitrogen, serum albumin, and serum sodium were significantly different between the survival group and the death group ( P <0.05). Multivariate logistic regression analysis showed that CRP ( OR =1.030, 95% CI =1.011‑1.048, P =0.002) and LDH ( OR =1.015, 95% CI =1.006‑1.025, P =0.002) correlated significantly with the mortality risk of the patients. The ROC curve analysis showed that the area under curve ( AUC ) of CRP was 0.884, when the optimal cut‑off value in predicting death events was 40.335 mg/L, the sensitivity, specificity, and accuracy was 78.9%, 82.0%, and 81.3%, respectively. The AUC of lactate dehydrogenase was 0.930, when the optimal cut‑off value in predicting death events was 273.450 U/L, the sensitivity, specificity, and accuracy was 94.7%, 86.9%, and 88.8%, respectively. Conclusion: Both CRP and LDH at admission has obvious correlation with the prognosis of COVID‑19 patients with diabetes and could be used to predict their prognosis. © 2021, Editorial Board of Medical Journal of Wuhan University. All right reserved.