Suppr超能文献

重新校准格拉斯哥昏迷评分作为神经外科干预的年龄调整风险指标。

Recalibrating the Glasgow Coma Score as an Age-Adjusted Risk Metric for Neurosurgical Intervention.

作者信息

Salottolo Kristin, Panchal Ripul, Dhakal Laxmi, Madayag Robert, Banton Kaysie, Tanner Allen, Rosenberg William S, Bar-Or David

机构信息

Trauma Research Departments, Medical City Plano, Plano, Texas,; Trauma Research Departments, Wesley Medical Center, Wichita, Kansas,; Trauma Research Departments, St. Anthony Hospital, Lakewood, Colorado,; Trauma Research Departments, Swedish Medical Center, Englewood, Colorado,; Trauma Research Departments, Penrose-St. Francis Health Services, Colorado Springs, Colorado,; Trauma Research Departments, Research Medical Center, Kansas City, MO.

Department of Neurosurgery, Medical City Plano, Plano, Texas.

出版信息

J Surg Res. 2021 Dec;268:696-704. doi: 10.1016/j.jss.2021.08.002. Epub 2021 Sep 3.

Abstract

BACKGROUND

The Glasgow Coma Scale (GCS) score is the most frequently used neurologic assessment in traumatic brain injury (TBI). The risk for neurosurgical intervention based on GCS is heavily modified by age. The objective is to create a recalibrated Glasgow Coma Scale (GCS) score that accounts for an interaction by age and determine the predictive performance of the recalibrated GCS (rGCS) compared to the standard GCS for predicting neurosurgical intervention.

METHODS

This retrospective cohort study utilized the National Trauma Data Bank and included all patients admitted from 2010-2015 with TBI (ICD9 diagnosis code 850-854.19). The study population was divided into 2 subsets: a model development dataset (75% of patients) and a model validation dataset (remaining 25%). In the development dataset, logistic regression models were used to calculate conditional probabilities of having a neurosurgical intervention for each combination of age and GCS score, to develop a point-based risk score termed the rGCS. Model performance was examined in the validation dataset using area under the receiver operating characteristic (AUROC) curves and calibration plots.

RESULTS

There were 472,824 patients with TBI. The rGCS ranged from 1-15, where rGCS 15 denotes the baseline risk for neurosurgical intervention (4.4%) and rGCS 1 represents the greatest risk (62.6%). In the validation dataset there was a statistically significant improvement in predictive performance for neurosurgical intervention for the rGCS compared to the standard GCS (AUROC: 0.71 versus 0.67, difference, -0.04, P<0.001), overall and by trauma level designation. The rGCS was better calibrated than the standard GCS score.

CONCLUSIONS

The relationship between GCS score and neurosurgical intervention is significantly modified by age. A revision to the GCS that incorporates age, the rGCS, provides risk of neurosurgical intervention that has better predictive performance than the standard ED GCS score.

摘要

背景

格拉斯哥昏迷量表(GCS)评分是创伤性脑损伤(TBI)中最常用的神经学评估方法。基于GCS的神经外科手术干预风险会因年龄而有很大改变。目的是创建一个重新校准的格拉斯哥昏迷量表(GCS)评分,该评分考虑年龄的相互作用,并确定重新校准的GCS(rGCS)与标准GCS相比在预测神经外科手术干预方面的预测性能。

方法

这项回顾性队列研究利用了国家创伤数据库,纳入了2010年至2015年期间因TBI入院的所有患者(ICD9诊断代码850 - 854.19)。研究人群分为2个子集:一个模型开发数据集(75%的患者)和一个模型验证数据集(其余25%)。在开发数据集中,使用逻辑回归模型计算年龄和GCS评分每种组合进行神经外科手术干预的条件概率,以开发一个基于点数的风险评分,称为rGCS。在验证数据集中使用受试者操作特征曲线下面积(AUROC)和校准图来检查模型性能。

结果

共有472,824例TBI患者。rGCS范围为1 - 15,其中rGCS 15表示神经外科手术干预的基线风险(4.4%),rGCS 1表示最大风险(62.6%)。在验证数据集中,与标准GCS相比,rGCS在神经外科手术干预预测性能方面有统计学显著改善(AUROC:0.71对0.67,差异为 - 0.04,P<0.001),总体和按创伤级别指定情况均如此。rGCS比标准GCS评分校准得更好。

结论

GCS评分与神经外科手术干预之间的关系因年龄而有显著改变。纳入年龄的GCS修订版rGCS提供的神经外科手术干预风险比标准急诊GCS评分具有更好的预测性能。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验