1098-P: Admission Blood Glucose but Not HbA1c Predicts Mortality in People with Diabetes Hospitalized with COVID-19 Infection

Diabetes(2021)

引用 1|浏览0
暂无评分
摘要
Background: Previous studies have documented several biochemical, clinical and radiological risk factors for mortality in patients with COVID-19. Early identification of the patients who are most likely to develop critical course will enable informed decisions and shall facilitate the provision of timely supportive treatment in advance and thus may reduce mortality. Methodology: This is a multicentric retrospective study aimed to explore the role of hyperglycaemia (admission blood glucose and HbA1c) in predicting mortality in diabetic patients hospitalised for COVID-19. Results: A total of 133 patient records were analysed retrospectively who were admitted to three tertiary care hospitals between 15/05/2020 to 15/11/2020. Multiple logistic regression indicated that the capillary blood glucose (CBG) on admission was an independent risk factor for mortality in DM patients with COVID-19 (Odds Ratio [OR] = 1.132, 95% confidence interval [CI]: 1.012-1.216), p=0.043 whereas HbA1c failed to predict mortality (Odds Ratio [OR] = 1.119, 95% confidence interval [CI]: 0.981-1.216), p=0.357. The optimal admission CBG level for predicting mortality was 243.50 mg/dL, with an area under the curve (AUC) of 0.879 (95% CI: 0.767-0.990) with a corresponding sensitivity of 88.9 and specificity of 72.7 at this cut-off. As revealed by the receiver-operating characteristic (ROC) analysis, HbA1c failed to predict mortality with an AUC of 0.565 (95% CI: 0.307-0.782). Conclusion: The present study demonstrated that a high level of admission CBG and not HbA1c was an independent risk factor for mortality of COVID-19 patients with DM. Disclosure S. Roy chaudhuri: None. A. Majumder: None. D. Sanyal: None. A. Biswas: None. K. Bhattacharjee: None.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要