This retrospective study examined changes in fasting blood glucose (FBG) levels during hospitalization and their effect on risk of death for Coronavirus disease 2019 (COVID-19) patients without previously diagnosed diabetes. A model with low- and high-stable pattern trajectories was established based on a longitudinal change in FBG levels. We analyzed FBG trajectory-associated clinical features and risk factors for death due to COVID-19. Of the 230 enrolled patients, 44 died and 87.83% had a low-stable pattern (average FBG range: 6.63–7.54 mmol/L), and 12.17% had a high-stable pattern (average FBG range: 12.59–14.02 mmol/L). There were statistical differences in laboratory findings and case fatality between the two FBG patterns. Multivariable logistic regression analysis showed that increased neutrophil count (odds ratio [OR], 25.43; 95% confidence interval [CI]: 2.07, 313.03), elevated direct bilirubin (OR, 5.80; 95%CI: 1.72, 19.58), elevated creatinine (OR, 26.69; 95% CI: 5.82, 122.29), lymphopenia (OR, 8.07; 95% CI: 2.70, 24.14), and high-stable FBG pattern (OR, 8.79; 95% CI: 2.39, 32.29) were independent risk factors for higher case fatality in patients with COVID-19 and hyperglycemia but no history of diabetes. FBG trajectories were significantly associated with death risk in patients with COVID-19 and no diabetes.
【저자키워드】 COVID-19, SARS-CoV-2, glycemic control, fasting blood glucose trajectory, longitudinal change, 【초록키워드】 Coronavirus disease 2019, Hospitalization, risk, diabetes, risk factor, Laboratory, lymphopenia, Retrospective study, Patient, death, trajectory, hyperglycemia, patients, clinical feature, Glucose, fatality, creatinine, Odds ratio, Bilirubin, risk of death, Logistic regression analysis, 95% confidence interval, average, neutrophil count, independent risk factor, enrolled, analyzed, examined, died, significantly, diagnosed, elevated, changes in, fasting blood, patients with COVID-19, statistical difference, 【제목키워드】 longitudinal, change, fasting, Level,