The Role of Nondiabetic Hyperglycemia in Critically Ill Patients with Acute Ischemic Stroke.
Hung-Sheng ShihWei-Sheng WangLi-Yu YangShu-Hao ChangPo-Huang ChenHong-Jie JhouPublished in: Journal of clinical medicine (2022)
In this study, we aim to elucidate the association between nondiabetic hyperglycemia and the short-term prognosis of critically ill patients with acute ischemic stroke. We extracted data using the Medical Information Mart for Intensive Care IV from 2008 to 2019. The primary outcomes were set as intensive care units (ICU) and in-hospital mortality. We developed a Cox proportional hazards model to determine the nonlinear association between serum glucose levels and primary outcomes. Of the 1086 patients included, 236 patients had hyperglycemia. Patients with hyperglycemia were associated with higher ages, female gender, higher Charlson Comorbidity Index scores, and higher Acute Physiology Score III scores. After propensity score matching, 222 pairs remained. The hyperglycemia group had a significantly higher ICU mortality (17.6% vs. 10.8%; p = 0.041). Meanwhile, no significant differences in ICU length of stay (5.2 vs. 5.2; p = 0.910), in-hospital mortality (26.6% vs. 18.9%, p = 0.054), and hospital length of stay (10.0 vs. 9.1; p = 0.404) were observed between the two groups. The Kaplan-Meier curves for ICU and in-hospital survival before matching suggested significant differences; however, after matching, they failed to prove any disparity. Non-diabetic patients with acute ischemic stroke have poor clinical characteristic while encountering hyperglycemic events; therefore, careful monitoring in the acute phase is still required.
Keyphrases
- acute ischemic stroke
- intensive care unit
- end stage renal disease
- mechanical ventilation
- healthcare
- chronic kidney disease
- ejection fraction
- newly diagnosed
- peritoneal dialysis
- prognostic factors
- emergency department
- diabetic rats
- blood pressure
- coronary artery disease
- liver failure
- oxidative stress
- patient reported outcomes
- big data
- wound healing
- insulin resistance
- adverse drug
- drug induced
- electronic health record
- adipose tissue
- patient reported
- blood glucose