Comparing Predictive Utility of Head Computed Tomography Scan-Based Scoring Systems for Traumatic Brain Injury: A Retrospective Study

Author:

Khormali Moein1,Soleimanipour Saeed2,Baigi Vali13,Ehteram Hassan4,Talari Hamidreza56,Naghdi Khatereh1,Ghaemi Omid78,Sharif-Alhoseini Mahdi1

Affiliation:

1. Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran 14166-34793, Iran

2. Department of Radiology, Sina Hospital, Tehran University of Medical Sciences, Tehran 14166-34793, Iran

3. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran 14166-34793, Iran

4. Department of Pathology, School of Medicine, Kashan University of Medical Sciences, Kashan 87159-88141, Iran

5. Trauma Research Center, Kashan University of Medical Sciences, Kashan 87159-88141, Iran

6. Department of Radiology, Kashan University of Medical Sciences, Kashan 87159-88141, Iran

7. Department of Radiology, Imam Khomeini Hospital, Tehran University of Medical Science, Tehran 14166-34793, Iran

8. Department of Radiology, Shariati Hospital, Tehran University of Medical Science, Tehran 14166-34793, Iran

Abstract

This study compared the predictive utility of Marshall, Rotterdam, Stockholm, Helsinki, and NeuroImaging Radiological Interpretation System (NIRIS) scorings based on early non-contrast brain computed tomography (CT) scans in patients with traumatic brain injury (TBI). The area under a receiver operating characteristic curve (AUROC) was used to determine the predictive utility of scoring systems. Subgroup analyses were performed among patients with head AIS scores > 1. A total of 996 patients were included, of whom 786 (78.9%) were males. In-hospital mortality, ICU admission, neurosurgical intervention, and prolonged total hospital length of stay (THLOS) were recorded for 27 (2.7%), 207 (20.8%), 82 (8.2%), and 205 (20.6%) patients, respectively. For predicting in-hospital mortality, all scoring systems had AUROC point estimates above 0.9 and 0.75 among all included patients and patients with head AIS > 1, respectively, without any significant differences. The Marshall and NIRIS scoring systems had higher AUROCs for predicting ICU admission and neurosurgery than the other scoring systems. For predicting THLOS ≥ seven days, although the NIRIS and Marshall scoring systems seemed to have higher AUROC point estimates when all patients were analyzed, five scoring systems performed roughly the same in the head AIS > 1 subgroup.

Funder

Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran

Publisher

MDPI AG

Subject

General Neuroscience

Reference33 articles.

1. Traumatic brain injury: Giving voice to a silent epidemic;Rusnak;Nat. Rev. Neurol.,2013

2. GBD 2016 Traumatic Brain Injury and Spinal Cord Injury Collaborators (2019). Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol., 18, 56–87.

3. Trauma scoring systems;Lefering;Curr. Opin. Crit. Care,2012

4. A new classification of head injury based on computerized tomography;Marshall;J. Neurosurg.,1991

5. Prediction of outcome in traumatic brain injury with computed tomographic characteristics: A comparison between the computed tomographic classification and combinations of computed tomographic predictors;Maas;Neurosurgery,2005

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3