Triglyceride glucose index is a significant predictor of severe disturbance of consciousness and all-cause mortality in critical cerebrovascular disease patients

医学 内科学 逻辑回归 接收机工作特性 疾病严重程度 重症监护室 疾病 心脏病学
作者
T H Chen,Yuan Qian,Xingli Deng
出处
期刊:Cardiovascular Diabetology [BioMed Central]
卷期号:22 (1)
标识
DOI:10.1186/s12933-023-01893-6
摘要

Abstract Objective The association of the triglyceride-glucose (TyG) index with severe consciousness disturbance and in-hospital mortality in patients with cerebrovascular disease in the intensive care unit (ICU) is unclear. This study aimed to investigate the TyG index’s predictive ability on the severity of impaired consciousness and in-hospital mortality in patients with cerebrovascular disease in the ICU. Method Patients diagnosed with non-traumatic cerebral hemorrhage and cerebral infarction were extracted from the MIMIC-IV database and analyzed as two cohorts. The association between the TyG index and the severity of patients’ impairment of consciousness and in-hospital mortality was analyzed using logistic regression models. Using restricted cubic spline curves, we analyzed potential nonlinear relationships between TyG indices and outcome indicators. receiver operating characteristic (ROC) curves were utilized to evaluate the predictive ability of the TyG index for outcome indicators. Result The study’s last two cohorts comprised 537 patients with traumatic cerebral hemorrhage and 872 patients with cerebral infarction. TyG index was a significant predictor of the severity of impaired consciousness and in-hospital mortality in patients with cerebrovascular disease, as determined by logistic regression. The risk of severe consciousness impairment and in-hospital mortality increased roughly linearly with increasing TyG index. Conclusion The TyG index was found to be a significant predictor for severe impairment of consciousness and in-hospital death in patients with cerebrovascular disease in the ICU, and it provides some predictive value for the severity of consciousness disturbances and in-hospital mortality in cerebrovascular disease patients.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
laissez_fairy发布了新的文献求助10
1秒前
科目三应助勤奋依秋采纳,获得10
1秒前
搜集达人应助自由马儿采纳,获得10
3秒前
4秒前
落后的疾应助木木采纳,获得10
5秒前
煎饼发布了新的文献求助30
5秒前
在水一方应助zyin采纳,获得10
6秒前
Lucas应助哭泣的芷容采纳,获得10
6秒前
闪闪梦秋完成签到,获得积分10
6秒前
李爱国应助哭泣的芷容采纳,获得10
6秒前
斯文败类应助帅气雪糕采纳,获得10
6秒前
星辰大海应助腼腆的妖妖采纳,获得10
7秒前
我是老大应助hancahngxiao采纳,获得30
8秒前
111完成签到,获得积分20
9秒前
科研通AI2S应助11采纳,获得10
10秒前
打打应助科研通管家采纳,获得50
11秒前
11秒前
李爱国应助科研通管家采纳,获得10
11秒前
领导范儿应助科研通管家采纳,获得10
12秒前
完美世界应助科研通管家采纳,获得10
12秒前
科目三应助科研通管家采纳,获得10
12秒前
深情安青应助科研通管家采纳,获得10
12秒前
CipherSage应助科研通管家采纳,获得10
12秒前
李健应助科研通管家采纳,获得10
12秒前
乐乐应助科研通管家采纳,获得10
12秒前
英俊的铭应助科研通管家采纳,获得10
12秒前
13秒前
laissez_fairy完成签到,获得积分10
13秒前
二分发布了新的文献求助10
14秒前
天天快乐应助zz6532采纳,获得10
14秒前
17秒前
Xue发布了新的文献求助10
19秒前
乐乐应助sixi采纳,获得10
20秒前
深情安青应助zyin采纳,获得10
20秒前
22秒前
hancahngxiao发布了新的文献求助30
23秒前
李爱国应助威武鸽子采纳,获得10
23秒前
张颖完成签到,获得积分10
24秒前
Echo完成签到,获得积分0
24秒前
酷波er应助哭泣的芷容采纳,获得10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cronologia da história de Macau 5000
Petrology and Plate Tectonics 800
Electrode Potentials 550
Matrix Methods in Data Mining and Pattern Recognition 510
Association of Reentry Well-Being with Psychological Distress, Employment, and Housing Instability 15-Months After Incarceration 500
Trees of tropical Asia : an illustrated guide to diversity 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7028531
求助须知:如何正确求助?哪些是违规求助? 8698709
关于积分的说明 18430828
捐赠科研通 6528532
什么是DOI,文献DOI怎么找? 3111767
关于科研通互助平台的介绍 2189212
邀请新用户注册赠送积分活动 2087341