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

IF 3.4 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM Diabetology & Metabolic Syndrome Pub Date : 2024-10-19 DOI:10.1186/s13098-024-01482-x
Li Li, Xiaolian Xing, Qian Li, Qinqin Zhang, Zhijun Meng
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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 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).

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

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急性缺血性脑卒中患者血糖水平轨迹与 30 天死亡风险之间的关系:2001-2019 年 MIMIC 数据库分析。
背景:高血糖是急性缺血性卒中(AIS)患者最常见的合并症之一。本研究旨在评估短期纵向血糖水平变化轨迹对 AIS 患者 30 天死亡风险的影响:AIS患者的数据来自2001-2019年重症监护医学信息市场(MIMIC)数据库。利用潜在增长混合模型(LGMM)对患者入院后24小时内的血糖水平轨迹进行分类。应用 Cox 回归分析研究了 AIS 患者入院时的血糖水平、血糖水平轨迹与 30 天死亡风险之间的关系:这项回顾性队列研究共纳入了2432名AIS患者,其中574名患者(23.60%)在30天内死亡。所有患者的血糖中位数为 136.00 (110.00, 178.00) mg/dL。确定了四种血糖水平轨迹:低水平-稳定趋势(1 型)、中等水平-稳定趋势(2 型)、高水平-下降-上升趋势(3 型)和中等水平-上升-下降趋势(4 型)。与 1 型血糖水平轨迹相比,2 型血糖水平轨迹与 30 天死亡风险增加有关[危险比 (HR) = 1.28,95% 置信区间 (CI):1.03-1.59],但 3 型(HR = 1.16,95%CI:0.77-1.74)和 4 型(HR = 1.44,95%CI:0.84-2.45)血糖水平轨迹与 30 天死亡风险之间没有显著关联。亚组分析表明,2型轨迹与30天死亡风险之间的关联在以下患者中观察到:年龄≥65岁(HR = 1.37,95%CI:1.05-1.79)、女性(HR = 1.42,95%CI:1.05-1.94)、患有(HR = 1.44,95%CI:1.02-2.02)或未患有(HR = 1.42,95%CI:1.01-1.99)糖尿病、未使用胰岛素(HR = 2.80,95%CI:1.43-5.49):结论:入院24小时内血糖水平持续偏高的AIS患者会增加30天内死亡的风险。
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来源期刊
Diabetology & Metabolic Syndrome
Diabetology & Metabolic Syndrome ENDOCRINOLOGY & METABOLISM-
CiteScore
6.20
自引率
0.00%
发文量
170
审稿时长
7.5 months
期刊介绍: Diabetology & Metabolic Syndrome publishes articles on all aspects of the pathophysiology of diabetes and metabolic syndrome. By publishing original material exploring any area of laboratory, animal or clinical research into diabetes and metabolic syndrome, the journal offers a high-visibility forum for new insights and discussions into the issues of importance to the relevant community.
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