Milosavljevic Jovan, Perkit Navya R, Jhawar Sakshi, Thomas Melbin, Ling Justin, Amankwah Samuel, Thomas Asha M
Department of Medicine, Sinai Hospital of Baltimore, Baltimore, MD 21215, USA.
Division of Endocrinology, Department of Medicine, Sinai Hospital of Baltimore, Baltimore, MD 21215, USA.
J Community Hosp Intern Med Perspect. 2022 Nov 7;12(6):27-34. doi: 10.55729/2000-9666.1127. eCollection 2022.
To identify risk factors for severe disease and death among patients with diabetes and coronavirus disease 2019 (COVID-19) infection.
This retrospective cohort study conducted at three hospitals included 733 consecutive patients with DM admitted with confirmed COVID-19 (March 1 - December 31, 2020). Multivariable logistic regression was performed to identify predictors of severe disease and death.
The mean age was 67.4 ± 14.3 years, 46.9% were males and 61.5% were African American. Among all patients, 116 (15.8%) died in the hospital. A total of 317 (43.2%) patients developed severe disease, 183 (25%) were admitted to an ICU and 118 (16.1%) required invasive mechanical ventilation. Increasing BMI (OR, 1.13; 95% CI, 1.02-1.25), history of chronic lung disease (OR, 1.49; 95% CI, 1.05-2.10) and increasing time since the last HbA1c test (OR, 1.25; 95% CI, 1.05-1.49) were the preadmission factors associated with increased odds of severe disease. Preadmission use of metformin (OR, 0.67; 95% CI, 0.47-0.95) or GLP-1 agonists (OR, 0.49; 95% CI, 0.27-0.87) was associated with decreased odds of severe disease. Increasing age (OR, 1.21; 95% CI, 1.09-1.34), co-existing chronic kidney disease greater than stage 3 (OR, 3.38; 95% CI, 1.67-6.84), ICU admission (OR, 2.93; 95% CI, 1.28-6.69) and use of invasive mechanical ventilation (OR, 8.67, 95% CI, 3.88-19.39) were independently associated with greater odds of in-hospital death.
Several clinical characteristics were identified to be predictive of severe disease and in-hospital death among patients with underlying diabetes hospitalized with COVID-19.
确定糖尿病合并2019冠状病毒病(COVID-19)感染患者发生重症和死亡的危险因素。
这项在三家医院进行的回顾性队列研究纳入了733例确诊COVID-19(2020年3月1日至12月31日)后连续入院的糖尿病患者。采用多变量逻辑回归分析来确定重症和死亡的预测因素。
患者的平均年龄为67.4±14.3岁,男性占46.9%,非裔美国人占61.5%。在所有患者中,116例(15.8%)在医院死亡。共有317例(43.2%)患者发展为重症,183例(25%)入住重症监护病房(ICU),118例(16.1%)需要有创机械通气。体重指数(BMI)增加(比值比[OR],1.13;95%置信区间[CI],1.02 - 1.25)、慢性肺病病史(OR,1.49;95% CI,1.05 - 2.10)以及距上次糖化血红蛋白(HbA1c)检测时间增加(OR,1.25;95% CI,1.05 - 1.49)是与重症几率增加相关的入院前因素。入院前使用二甲双胍(OR,0.67;95% CI,0.47 - 0.95)或胰高血糖素样肽-1(GLP-1)激动剂(OR,0.49;95% CI,0.27 - 0.87)与重症几率降低相关。年龄增加(OR,1.21;95% CI,1.09 - 1.34)、并存3期以上慢性肾病(OR,3.38;95% CI,1.67 - 6.84)、入住ICU(OR,2.93;95% CI,1.28 - 6.69)和使用有创机械通气(OR,8.67,95% CI,3.88 - 19.39)与院内死亡几率增加独立相关。
确定了一些临床特征可预测COVID-19住院的糖尿病患者发生重症和院内死亡。