首页|甘油三酯-葡萄糖指数与中重型创伤性脑损伤后预后不良的相关性研究

甘油三酯-葡萄糖指数与中重型创伤性脑损伤后预后不良的相关性研究

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目的 探讨中重型创伤性脑损伤(msTBI)患者入院时甘油三酯-葡萄糖(TyG)指数与其伤后6个月时预后不良的关系.方法 采用回顾性队列研究分析2019年1月至2022年12月南通大学附属江阴医院收治的277例msTBI患者的临床资料,其中男208例,女69例;年龄18~88岁[(57.0± 15.1)岁];入院格拉斯哥昏迷评分(GCS):3~8分168例,9~12分109例.根据患者伤后6个月扩展格拉斯哥预后评分(GOSE),预后不良121例(GOSE≤4分),预后良好156例(GOSE≥5分).记录入组患者性别、年龄、糖尿病病史、致伤原因、入院GCS、GCS运动评分(GCSM)、瞳孔对光反射、入院24 h内最严重的Marshall CT分级、入院TyG指数、入院24 h内平均血糖波动幅度(MAGE)、入院72 h内是否有GCSM下降≥2分、是否行开颅手术及预后等指标.TyG指数是本课题重点研究的暴露变量,由入院24 h内空腹甘油三酯和空腹血糖计算得出,伤后6个月的预后为本课题的结局变量.首先,按TyG指数三分位数分组和预后不良及预后良好分组分别对观察变量进行单因素分析,差异有统计学意义的变量纳入有向无环图(DAGs)进一步分析混杂变量;单因素分析差异无统计学意义但根据前期研究仍可能影响伤后胰岛素抵抗的因素也被纳入DAGs分析.设计三组Logistic回归模型[模型1不校正,模型2对国际颅脑创伤预后和临床试验设计国际协作研究(IMPACT)核心变量进行校正,模型3对经DAGs筛选的混杂变量进行校正]分析TyG指数是否为msTBI患者预后的独立危险因素.选择最优的Logistic回归校正模型继续应用限制性立方样条图(RCS)探究TyG指数与预后不良之间的关系.结果 单因素分析结果显示,在TyG三分位数分组比较中,性别、糖尿病病史、MAGE、GCSM下降、预后等差异均有统计学意义(P<0.05或0.01);预后不良组和预后良好组年龄、糖尿病病史、GCSM、瞳孔对光反射、Marshall CT分级、TyG指数、MAGE、GCSM下降等差异均有统计学意义(P<0.05或0.01).应用DAGs确定影响TyG指数与预后不良相关性的混杂变量的Logistic回归分析结果表明,较高的TyG指数与msTBI患者预后不良显著相关,其中经DAGs筛选的混杂变量校正的模型3具有较优的拟合效能及适配度.基于模型3进一步应用RCS分析的结果表明,在一定范围内(TyG指数<9.79)msTBI后预后不良的风险可能随着TyG指数水平的增加呈近似线性增加.结论 入院时较高的TyG指数是msTBI患者伤后6个月预后不良的独立危险因素,随着TyG指数的增加,其预后不良的风险也会增加,且一定范围内(TyG指数<9.79)可能呈线性增加趋势.
Correlation of triglyceride-glucose index with unfavorable outcomes following moderate-to-severe traumatic brain injury
Objective To investigate the correlation between triglyceride-glucose(TyG)index on admission and unfavorable outcomes of patients with moderate-to-severe traumatic brain injury(msTBI)at 6 months postinjury.Methods A retrospective cohort study was conducted to analyze the clinical data of 277 patients with msTBI admitted to Affiliated Jiangyin Hospital of Nantong University from January 2019 to December 2022,including 208 males and 69 females,aged 18-88 years[(57.0±1 5.1)years].Glasgow Coma Scale(GCS)scores on admission were 3-8 points in 168 patients and 9-12 points in 109.According to the Glasgow Outcome Scale-Extended(GOSE)assessment at 6 months after injury,there were 121 patients with unfavorable outcomes(GOSE≤4 points)and 156 with favorable outcomes(GOSE≥5 points).The following indicators of the patients were recorded,including gender,age,history of diabetes,cause of injury,admission GCS,GCS motor score(GCSM),pupillary light reflex,worst Marshall CT classification within the first 24 hours after admission,admission TyG index,Mean Amplitude of Glycemic Excursions(MAGE)within 24 hours after admission,GCSM decline≥2 points within 72 hours after admission,craniotomy or not after admission,and prognosis,etc.TyG index served as the exposure variable focused in this study,which was calculated with fasting triglycerides and fasting blood glucose within 24 hours after admission.The 6-month prognosis of the patients was designated as the outcome variable of the study.After the patients were divided into different groups according to the three quantiles of the TyG index and unfavorable or favorable outcomes,the univariate analysis was conducted on watch variables,and variables with statistically significant differences were included in directed acyclic graphs(DAGs)for further identification of confounding variables.Factors which were found with no statistical significance in the univariate analysis but might affect insulin resistance after injury according to the authors'previous researches were also included in the DAGs analysis.Three Logistic regression models were designed(Model 1 without correction,Model 2 with core variables of International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury(IMPACT)corrected,and Model 3 with confounding variables screened by DAGs corrected)to analyze whether the TyG index was an independent risk factor for the prognosis of msTBI patients.The optimal Logistic regression model was selected and then restricted cubic spline(RCS)was employed to investigate the relationship between the TyG index and the unfavorable outcomes.Results The univariate analysis suggested that there were significant differences in gender,history of diabetes,MAGE,GCSM decline,and prognosis among the three quantiles of the TyG index(P<0.05 or 0.01).Significant differences in age,history of diabetes,GCSM,pupillary light reflex,Marshall CT classification,TyG index,MAGE and GCSM decline were observed between unfavorable and favorable outcome groups(P<0.05 or 0.01).The results of Logistic regression analysis that identified the confounding variables that influenced the correlation between the TyG index and unfavorable prognosis with DAGs suggested that a high TyG index level was significantly correlated with unfavorable outcomes in msTBI patients.Moreover,Model 3 that was corrected with confounding variables screened by DAGs had an optimal goodness-of-fit and adaptability.Model 3-based further RCS analysis indicated that the risk of unfavorable outcomes following msTBI may increase approximately linearly with the increase in TyG index within a certain range(TyG index<9.79).Conclusions A high TyG index level on admission is the identified as an independent risk factor for unfavorable outcomes of patients with msTBI at 6 months postinjury.As the TyG index level increases,the risk of unfavorable outcomes also rises and may show a linear increasing trend within a certain range(TyG index<9.79).

Brain injuriesPrognosisInsulinTriglyceride-glucose index

曹铖、徐海诚、王嘉辰、赵红杰、石源、陈雨舟、吴伟、高恒

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南通大学附属江阴医院重症医学科,江阴 214400

南通大学附属江阴医院脑科中心,江阴 214400

南通大学附属江阴医院神经外科,江阴 214400

东南大学医学院临床医学系,南京 210009

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脑损伤 预后 胰岛素 甘油三酯-葡萄糖指数

2021年度无锡市太湖人才计划优秀医学专家团队2023年度江阴市中青年卫生后备优秀人才计划

JYROYT202308

2024

中华创伤杂志
中华医学会

中华创伤杂志

CSTPCD北大核心
影响因子:1.425
ISSN:1001-8050
年,卷(期):2024.40(2)
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