Suppr超能文献

[早期肌钙蛋白I水平对重症中暑患者预后的临床意义]

[Clinical significance of early troponin I levels on the prognosis of patients with severe heat stroke].

作者信息

Tang Yun, Yuan Dong, Gu Tijun, Zhang He, Shen Wanlin, Liu Fujing

机构信息

Department of Critical Care Medicine, Jintan First People's Hospital of Changzhou, Jintan 213200, Jiangsu, China.

Department of Emergency, the Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University, Changzhou 213000, Jiangsu, China. Corresponding author: Liu Fujing, Email:

出版信息

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2023 Jul;35(7):730-735. doi: 10.3760/cma.j.cn121430-20221028-00948.

Abstract

OBJECTIVE

To investigate the clinical significance of early troponin I (TnI) level in the prognosis of severe heat stroke.

METHODS

Clinical data of 131 patients with severe heat stroke in the intensive care unit (ICU) of the Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University (study dataset) and ICU 67 patients with severe heat stroke in Jintan First People's Hospital of Changzhou (validation dataset) were retrospectively analyzed from June 2013 to September 2022. The patients were divided into survival group and death group according to 30-day outcomes. TnI was collected within 24 hours after admission to the emergency department. Cox regression analysis was performed to analyze the risk factors of severe heat stroke death. Spearman correlation test was used to analyze the correlation between TnI and heart rate, and peripheral systolic blood pressure. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of TnI for death in patients with severe heat stroke. Decision curve analysis (DCA) was conducted to assess the clinical net benefit rate of TnI prediction. Grouping by TnI cut-off value, Kaplan-Meier survival curve was used to analyze 30-day cumulative survival. Sensitivity analysis included modified Possion regression, E-value, and subgroup forest map was used to evaluate the mortality risk of TnI in different populations. External dataset was used to verify the predictive value of TnI.

RESULTS

The death group had significantly higher TnI compared to the survival group [μg/L: 0.623 (0.196, 1.510) vs. 0.084 (0.019, 0.285), P < 0.01]. Multivariate Cox regression analysis after adjusting for confounding factors showed that TnI was an independent risk factor for death [hazard ratio (HR) = 1.885, 95% confidence interval (95%CI) was 1.528-2.325,P < 0.001]. Spearman correlation test showed that TnI was positively correlated with heart rate (r = 0.537, P < 0.001) and negatively correlated with peripheral systolic blood pressure (r = -0.611, P < 0.001). ROC curve showed that the area under the curve (AUC) of the TnI (0.817) was better than that of the acute physiology and chronic health evaluation II (APACHE II, 0.756). The DCA curve showed that the range of clinical net benefit rate of TnI (6.21%-20.00%) was higher than that of APACHE II score (5.14%-20.00%). Kaplan-Meier survival curve showed that patients in the low-risk group (TnI ≤ 0.106) had a significantly higher 30-day survival rate than that in the high-risk group (TnI > 0.106) group (Log-Rank test: χ = 17.350, P < 0.001). Modified Possion regression with adjustment for confounding factors showed that TnI was still an independent risk factor for death in patients with severe heat stroke [relative risk (RR) = 1.425, 95%CI was 1.284-1.583, P < 0.001]. The E-value was 2.215. The subgroup forest plot showed that the risk factors of TnI were obvious in male patients and patients ≤ 60 years old (male: HR = 1.731, 95%CI was 1.402-2.138, P < 0.001; ≤ 60 years old: HR = 1.651, 95%CI was 1.362-2.012, P < 0.001). In the validation dataset, ROC curve analysis showed that the AUC (0.836) of TnI predicting the prognosis of severe heat stroke was still higher than the APACHE II score (0.763).

CONCLUSIONS

Early elevation of TnI is a high-risk factor for death in patients with severe heat stroke, and it has a good predictive value for death.

摘要

目的

探讨早期肌钙蛋白I(TnI)水平在重症中暑预后中的临床意义。

方法

回顾性分析2013年6月至2022年9月南京医科大学附属常州第二人民医院重症监护病房(ICU)收治的131例重症中暑患者(研究数据集)以及常州市金坛区第一人民医院ICU的67例重症中暑患者(验证数据集)的临床资料。根据30天结局将患者分为存活组和死亡组。于患者急诊入院后24小时内采集TnI。采用Cox回归分析重症中暑死亡的危险因素。采用Spearman相关性检验分析TnI与心率、外周收缩压之间的相关性。绘制受试者工作特征曲线(ROC曲线)评估TnI对重症中暑患者死亡的预测价值。进行决策曲线分析(DCA)评估TnI预测的临床净效益率。按TnI截断值分组,采用Kaplan-Meier生存曲线分析30天累积生存率。敏感性分析包括修正Poisson回归、E值,并采用亚组森林图评估不同人群中TnI的死亡风险。使用外部数据集验证TnI的预测价值。

结果

死亡组的TnI显著高于存活组[μg/L:0.623(0.196,1.510)对0.084(0.019,0.285),P<0.01]。校正混杂因素后的多因素Cox回归分析显示,TnI是死亡的独立危险因素[风险比(HR)=1.885,95%置信区间(95%CI)为1.528 - 2.325,P<0.001]。Spearman相关性检验显示,TnI与心率呈正相关(r = 0.537,P<0.001),与外周收缩压呈负相关(r = -0.611,P<0.001)。ROC曲线显示,TnI的曲线下面积(AUC)(0.817)优于急性生理与慢性健康状况评分II(APACHE II,0.756)。DCA曲线显示,TnI的临床净效益率范围(6.21% - 20.00%)高于APACHE II评分(5.14% - 20.00%)。Kaplan-Meier生存曲线显示,低风险组(TnI≤0.106)患者的30天生存率显著高于高风险组(TnI>0.106)(对数秩检验:χ = 17.350,P<0.001)。校正混杂因素后的修正Poisson回归显示,TnI仍是重症中暑患者死亡的独立危险因素[相对风险(RR)=1.425,95%CI为1.284 - 1.583,P<0.001]。E值为2.21。亚组森林图显示,TnI的危险因素在男性患者和≤60岁患者中明显(男性:HR = 1.731,95%CI为1.402 - 2.138,P<0.001;≤60岁:HR = 1.651,95%CI为1.362 - 2.012,P<0.001)。在验证数据集中,ROC曲线分析显示,TnI预测重症中暑预后的AUC(0.836)仍高于APACHE II评分(0.763)。

结论

TnI早期升高是重症中暑患者死亡的高危因素,对死亡具有良好的预测价值。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验