Evidence map›Paper›PMID 39425171›Full record

ArticleDiabetology & metabolic syndrome2024

Association between blood glucose level trajectories and 30-day mortality risk in patients with acute ischemic stroke: analysis of the MIMIC database 2001-2019.

Li Li, Xiaolian Xing, Qian Li, Qinqin Zhang, Zhijun Meng

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Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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3 · Its place in the literature

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7 citing papers in PubMed.

  1. Article
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  6. Group-based trajectory modeling identifies distinct glycemic patterns predictive of mortality in aneurysmal subarachnoid hemorrhage.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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5 · Who and what money

Authors and funding

5 authors.

Li LiDepartment of Neurology, Shanxi Provincial People's Hospital, Taiyuan, 030012, P.R. China.
Xiaolian XingDepartment of Neurology, Taiyuan City Central Hospital, Taiyuan, 030009, P.R. China.
Qian LiDepartment of Neurology, Shanxi Provincial People's Hospital, Taiyuan, 030012, P.R. China.
Qinqin ZhangDepartment of Neurology, Shanxi Provincial People's Hospital, Taiyuan, 030012, P.R. China.
Zhijun MengDepartment of Clinical Laboratory, Shanxi Provincial People's Hospital, No.29 Shuangtasi Street, Yingze District, Taiyuan, 030012, P.R. China. mzhijunph@outlook.com.

Funding

the Basic Research Program of Science and Technology Department of Shanxi Province 202103021223418the China Postdoctoral Science Foundation 342298the Fund Program for the Scientific Activities of Selected Returned Overseas Professionals in Shanxi Province 20230054the Natural Science Foundation of China 82300492the Research Project Supported by Shanxi Scholarship Council of China 2023-181the Scientific Research Project of Health Commission in Shanxi Province 2023XG009
6 · The paper itself

Abstract

backgroundHyperglycemia 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.

methodsData 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.

resultsA total of 2,432 patients with AIS were included in this retrospective cohort study, with 30-day mortality occurring in 574 (23.60%) patients. The median glucose levels of all patients were 136.00 (110.00, 178.00) mg/dL. Four blood glucose level trajectories were identified: low level-stable trend (type 1), moderate level-stable trend (type 2), high level-decreasing-increasing trend (type 3), and moderate level-increasing-decreasing trend (type 4). Type 2 blood glucose level trajectory was associated with an increased risk of 30-day mortality compared with type 1 blood glucose level trajectory [hazard ratio (HR) = 1.28, 95% confidence interval (CI): 1.03-1.59), but there were no significant associations between type 3 (HR = 1.16, 95%CI: 0.77-1.74) and type 4 (HR = 1.44, 95%CI: 0.84-2.45) trajectories and 30-day mortality risk. Subgroup analysis demonstrated that the association between type 2 trajectory and 30-day mortality risk was observed in patients aged ≥ 65 years (HR = 1.37, 95%CI: 1.05-1.79), female (HR = 1.42, 95%CI: 1.05-1.94), with (HR = 1.44, 95%CI: 1.02-2.02) or without (HR = 1.42, 95%CI: 1.01-1.99) diabetes, and not using insulin (HR = 2.80, 95%CI: 1.43-5.49).

conclusionAIS patients with consistently high blood glucose levels within 24 h of admission increased the risk of 30-day mortality.

Indexed as

30-day mortalityAcute ischemic strokeBlood glucoseTrajectory

Identifiers

PMID39425171
PMCPMC11490184

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