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ABSTRACT: Background
Hyperglycemia is one of the most common comorbidities in patients with acute ischemic stroke (AIS). This study aimed to assess the impact of short-term longitudinal blood glucose level change trajectories on the 30-day mortality risk in patients with AIS.Methods
Data for AIS patients were obtained from the 2001-2019 Medical Information Mart for Intensive Care (MIMIC) database. The latent growth mixture modeling (LGMM) was utilized to classify a patient's blood glucose level trajectory within 24 h of admission. Cox regression analyses were applied to examine the relationship between blood glucose levels at admission and blood glucose level trajectories and the risk of 30-day mortality in patients with AIS.Results
A total of 2,432 patients with AIS were inc
SUBMITTER: Li L
PROVIDER: S-EPMC11490184 | biostudies-literature | 2024 Oct
REPOSITORIES: biostudies-literature