잠시만 기다려 주세요. 로딩중입니다.

Fasting Plasma Glucose Level Independently Predicts the Mortality of Patients with Coronavirus Disease 2019 Infection: A Multicenter, Retrospective Cohort Study

Endocrinology and Metabolism 2020년 35권 3호 p.595 ~ 601
장민철, 황종문, 전재한, 곽상규, 박동휘, 문준성,
소속 상세정보
장민철 ( Chang Min-Cheol ) - Yeungnam University College of Medicine Department of Rehabilitation Medicine
황종문 ( Hwang Jong-Moon ) - Kyungpook National University School of Medicine Department of Rehabilitation Medicine
전재한 ( Jeon Jae-Han ) - Kyungpook National University School of Medicine Department of Internal Medicine
곽상규 ( Kwak Sang-Gyu ) - Daegu Catholic University College of Medicine Department of Medical Statistics
박동휘 ( Park Dong-Hwi ) - University of Ulsan College of Medicine Ulsan University Hospital Department of Physical Medicine and Rehabilitation
문준성 ( Moon Jun-Sung ) - Yeungnam University College of Medicine Department of Internal Medicine

Abstract


Background: Coronavirus disease 2019 (COVID-19) has become a global pandemic, which prompts a consensus for the necessity to seek risk factors for this critical disease. Risk factors affecting mortality of the disease remain elusive. Diabetes and hyperglycemia are known to negatively affect a host’s antiviral immunity. We evaluated the relationship between a history of diabetes, fasting plasma glucose (FPG) levels and mortality among severely ill patients with COVID-19.

Methods: This was a retrospective cohort study that assessed 106 adult inpatients (aged ≥18 years) from two tertiary hospitals in Daegu, South Korea. The participants were transferred to tertiary hospitals because their medical condition required immediate intensive care. The demographic and laboratory data were compared between COVID-19 patients who survived and those who did not.

Results: Compared with the survivor group, age, and the proportions of diabetes, chronic lung disease and FPG were significantly higher in the deceased group. In the Cox proportional hazards regression model for survival analysis, FPG level and age were identified as significant predictors of mortality (P<0.05). The threshold values for predicting high mortality were age >68 years and FPG of 168 mg/dL, respectively. Among those without diabetes, high FPG remained a significant predictor of mortality (P<0.04).

Conclusion: High FPG levels significantly predicted mortality in COVID-19, regardless of a known history of diabetes. These results suggest intensive monitoring should be provided to COVID-19 patients who have a high FPG level.

키워드

COVID-19; Diabetes mellitus; Coronavirus; Blood glucose; Mortality

원문 및 링크아웃 정보

등재저널 정보

SCI(E)
MEDLINE
KCI
KoreaMed
KAMS