Rotterdam Computed Tomography Score as a Prognosticator in Head-Injured Patients Undergoing Decompressive Craniectomy

Author:

Huang Yu-Hua1,Deng Yu-Han1,Lee Tao-Chen1,Chen Wu-Fu1

Affiliation:

1. Department of Neurosurgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan

Abstract

Abstract BACKGROUND: The Rotterdam computed tomography (CT) score was developed for prognostic purposes in traumatic brain injury (TBI). OBJECTIVE: To examine the prognostic discrimination and prediction of the Rotterdam CT score in the case of patients undergoing decompressive craniectomy (DC) for TBI. METHODS: The CT scans with the worst findings before DC were scored according to the Rotterdam CT classification. Mortality and Glasgow Outcome Scale score at the end of follow-up were used as outcome measures. Unfavorable and favorable outcomes were defined by a Glasgow Outcome Scale score of 1 to 3 and 4 to 5, respectively. We used binary logistic and proportional odds regression for prognostic analyses. RESULTS: The relationship between the Rotterdam CT score and prognosis was quantified, and higher scores indicated worse patient outcomes. Univariate analysis showed that the Rotterdam CT score was significantly associated with mortality (odds ratio: 3.117, 95% confidence interval: 1.867-5.386; P < .001) and unfavorable outcomes (odds ratio: 2.612, 95% confidence interval: 1.733-3.939; P < .001). After adjustment for published outcome predictors of TBI in multivariate regression, the Rotterdam CT score remained an independent predictor of unfavorable outcomes (odds ratio: 1.830, 95% confidence interval: 1.043-3.212; P = .035). CONCLUSION: For head-injured patients undergoing DC, the Rotterdam CT score provides great prognostic discrimination and is an independent predictor of unfavorable outcomes. We suggest that the Rotterdam CT score be included as a prognosticator in the overall assessment of clinical condition of TBI patients before DC.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Neurology (clinical),Surgery

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