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心率变异性作为创伤性脑损伤患者死亡率的预测指标:系统评价和荟萃分析。

Heart Rate Variability as a Predictor of Mortality in Traumatic Brain Injury: A Systematic Review and Meta-Analysis.

机构信息

Medicina General-Universidad Surcolombiana, Medico Investigador Concejo Latinoamericano de Neurointensivismo-CLaNi, Clinica Sahagún IPS SA, Córdoba, Colombia.

Center for Biomedical Research (CIB), Faculty of Medicine, University of Cartagena, Cartagena, Colombia.

出版信息

World Neurosurg. 2021 Apr;148:80-89. doi: 10.1016/j.wneu.2020.12.132. Epub 2021 Jan 4.

Abstract

OBJECTIVE

To systematically review the medical literature to determine the utility of heart rate variability in predicting mortality for moderate to severe traumatic brain injury.

METHODS

A search for randomized controlled trials, nonrandomized trials, and prospective and retrospective cohort studies was carried out using PubMed, SCOPUS, Cochrane Central Register of Controlled Trials, MEDLINE, and EMBASE. Reference lists of included studies were also searched to identify potentially eligible studies.

RESULTS

Five articles comprising 542 patients met inclusion criteria. Heart rate variability as low-frequency/high-frequency ratio (area under the curve [AUC] receiver operating characteristic [ROC]) for predicting mortality was found to be statistically significant (AUC ROC 0.810, P < 0.001) with high heterogeneity (I = 61.98%, P = 0.032). Meta-analysis of low-frequency/high-frequency ratio, High frequency peak, and total power were statistically significant for predicting mortality. Odd's ratio for predicting mortality for LF/HF ratio, HF peak, and TP were 16.17, 19.09, 22.59 respectively. High-frequency peak in predicting mortality showed an AUC ROC of 0.986 (P ≤ 0.001) with a low level of heterogeneity. Total power (TP) showed an AUC ROC of 0.93 (P < 0.001) in predicting mortality with a high level of heterogeneity (I = 83.16%, P = 0.002). Funnel plot analysis to assess the presence of publication bias for TP showed a high level of heterogeneity and asymmetry among studies.

CONCLUSIONS

This meta-analysis predicted high mortality based on odds ratio for variables low-frequency/high-frequency ratio, high-frequency peak, and TP. However, the statistical analysis was weakened owing to the high level of heterogeneity in the included studies. Further research is needed to generate high-quality recommendations regarding heart rate variability as a predictor of mortality after traumatic brain injury.

摘要

目的

系统回顾医学文献,以确定心率变异性预测中重度创伤性脑损伤患者死亡率的效用。

方法

使用 PubMed、SCOPUS、Cochrane 对照试验中心注册库、MEDLINE 和 EMBASE 搜索随机对照试验、非随机试验和前瞻性及回顾性队列研究。还检索了纳入研究的参考文献列表,以确定潜在的合格研究。

结果

有 5 篇文章包含 542 例患者符合纳入标准。发现心率变异性的低频/高频比值(曲线下面积[ROC]的接收者操作特征[ROC])在预测死亡率方面具有统计学意义(AUC ROC 0.810,P < 0.001),且存在高度异质性(I = 61.98%,P = 0.032)。低频/高频比值、高频峰值和总功率的荟萃分析在预测死亡率方面具有统计学意义。预测死亡率的 LF/HF 比值、HF 峰值和 TP 的比值比(OR)分别为 16.17、19.09 和 22.59。高频峰值在预测死亡率方面的 AUC ROC 为 0.986(P ≤ 0.001),且异质性较低。总功率(TP)在预测死亡率方面的 AUC ROC 为 0.93(P < 0.001),但异质性较高(I = 83.16%,P = 0.002)。漏斗图分析用于评估 TP 中是否存在发表偏倚,结果显示研究之间存在高度的异质性和不对称性。

结论

本荟萃分析基于低频/高频比值、高频峰值和 TP 等变量的比值比预测高死亡率。然而,由于纳入研究的高度异质性,统计分析受到削弱。需要进一步的研究来产生关于心率变异性作为创伤性脑损伤后死亡率预测指标的高质量建议。

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