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脑灰质与脑白质比值预测心脏骤停后行目标温度管理患者的神经结局:系统评价和荟萃分析。

Gray matter to white matter ratio for predicting neurological outcomes in patients treated with target temperature management after cardiac arrest: A systematic review and meta-analysis.

机构信息

Department of Neurosurgery, College of Medicine, Hanyang University, Seoul, Republic of Korea.

Department of Emergency Medicine, College of Medicine, Hallym University, Chuncheon, Republic of Korea.

出版信息

Resuscitation. 2018 Nov;132:21-28. doi: 10.1016/j.resuscitation.2018.08.024. Epub 2018 Aug 27.

Abstract

AIMS

This study aimed to evaluate the prognostic accuracy of the gray matter to white matter ratio (GWR) in predicting neurological outcomes in post-cardiac arrest patients treated with target temperature management.

DATA SOURCES

We systematically searched MEDLINE and EMBASE (Search date: 09/13/2017). Included studies were those evaluating neurological outcomes using the cerebral performance categories scale. We performed a subgroup analysis based on the location of the measurement. The Quality Assessment of Diagnostic Accuracy Studies-2 tool was used to assess the risk of bias.

RESULTS

In total, 1150 patients from 10 observational studies were included. GWR of the basal ganglia (BG) average showed the highest value (area under the curve [AUC] 0.96, SE 0.02, Q 0.90) compared with the putamen/posterior limb of internal capsule (AUC 0.93, SE 0.05, Q 0.87), overall average (AUC 0.91, SE 0.02, Q 0.85), and cerebrum (AUC 0.89, SE 0.05, Q 0.82) for prognostic accuracy. Furthermore, the highest pooled diagnostic odd ratio of GWR for predicting poor neurological outcomes was shown for the BG average (21.00, 95% CI 6.85-64.40) followed by the overall average (20.71, 95% CI 9.53-44.98), putamen/posterior limb of internal capsule (16.08, 95% CI 4.36-59.23), and cerebrum (13.96, 95% CI 4.26-45.76).

CONCLUSIONS

GWR in the early cranial computed tomography scan had high prognostic value in predicting poor neurological outcomes in post-cardiac arrest patients. The BG GWR had the highest prognostic accuracy when compared to other locations of the brain.

摘要

目的

本研究旨在评估灰质与白质比值(GWR)在预测接受目标温度管理的心脏骤停后患者神经预后方面的预测准确性。

资料来源

我们系统地检索了 MEDLINE 和 EMBASE(检索日期:2017 年 9 月 13 日)。纳入的研究评估了使用脑功能分类量表的神经预后。我们根据测量部位进行了亚组分析。采用诊断准确性研究质量评估工具-2 评估偏倚风险。

结果

共有来自 10 项观察性研究的 1150 例患者纳入本研究。基底节(BG)平均 GWR 的曲线下面积(AUC)最高(0.96,SE 0.02,Q 值 0.90),高于壳核/内囊后肢(AUC 0.93,SE 0.05,Q 值 0.87)、整体平均(AUC 0.91,SE 0.02,Q 值 0.85)和大脑(AUC 0.89,SE 0.05,Q 值 0.82),表明 GWR 对预后准确性具有较高的预测价值。此外,BG 平均 GWR 预测不良神经预后的最大合并诊断比值比最高(21.00,95%CI 6.85-64.40),其次是整体平均 GWR(20.71,95%CI 9.53-44.98)、壳核/内囊后肢(16.08,95%CI 4.36-59.23)和大脑(13.96,95%CI 4.26-45.76)。

结论

心脏骤停后患者早期头颅 CT 扫描的 GWR 对预测不良神经预后具有较高的预测价值。与大脑其他部位相比,BG GWR 具有最高的预后准确性。

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