外伤性脊髓损伤患者出院的预测因素识别和预测模型的建立:对国家创伤数据库的回顾性分析。

IF 0.2
Journal of Trauma and Injury Pub Date : 2025-09-01 Epub Date: 2025-09-29 DOI:10.20408/jti.2025.0049
James Bridges, Norris C Talbot, Michael Folse, Stephen Whipple, Bharat Guthikonda, Navdeep Samra, Deepak Kumbhare
{"title":"外伤性脊髓损伤患者出院的预测因素识别和预测模型的建立:对国家创伤数据库的回顾性分析。","authors":"James Bridges, Norris C Talbot, Michael Folse, Stephen Whipple, Bharat Guthikonda, Navdeep Samra, Deepak Kumbhare","doi":"10.20408/jti.2025.0049","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Previous studies have shown that early rehabilitation is associated with better long-term outcomes in patients with traumatic spinal cord injury. However, data are still limited regarding which factors are associated with discharge to a rehabilitation facility. This study aims to expand on prior research by identifying factors associated with disposition and by introducing a prediction model for these factors.</p><p><strong>Methods: </strong>The National Trauma Data Bank was queried for patients aged 18 years or older who presented to US trauma centers from 2019 to 2021 with traumatic spinal cord injury. Multivariate logistic regression models were used to determine which patient, injury, and hospital variables were significant factors for disposition to a rehabilitation facility, compared to home and intermediate care facilities. Prediction modeling was then performed using these factors.</p><p><strong>Results: </strong>Overall, 14,597 patients were identified, of whom 6,220 were discharged to a rehabilitation facility, 2,647 to an intermediate care facility, and 5,730 to home. Significant factors associated with discharge to a rehabilitation facility compared to home included age, injury location and severity, insurance type, estimated length of stay, systolic blood pressure at admission, and admission blood alcohol level and drug screen results. Similarly, when comparing discharge to a rehabilitation facility with discharge to an intermediate care facility, sex, age, race, estimated length of stay, systolic blood pressure at admission, drug screen results, and coexisting substance use and metabolic conditions all significantly influenced disposition. Fine tree binary classification achieved a prediction accuracy of 72.5% when comparing discharge to a rehabilitation facility and home, and a prediction accuracy of 70.0% when comparing discharge to a rehabilitation facility and an intermediate care facility.</p><p><strong>Conclusions: </strong>This study demonstrates significant factors associated with discharge to a rehabilitation facility in patients with traumatic spinal cord injury. Further studies are needed to improve prediction accuracy.</p>","PeriodicalId":52698,"journal":{"name":"Journal of Trauma and Injury","volume":"38 3","pages":"255-267"},"PeriodicalIF":0.2000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of predictive factors and development of a prediction model for rehabilitation facility discharge in patients with traumatic spinal cord injury: a retrospective analysis of the National Trauma Data Bank.\",\"authors\":\"James Bridges, Norris C Talbot, Michael Folse, Stephen Whipple, Bharat Guthikonda, Navdeep Samra, Deepak Kumbhare\",\"doi\":\"10.20408/jti.2025.0049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>Previous studies have shown that early rehabilitation is associated with better long-term outcomes in patients with traumatic spinal cord injury. However, data are still limited regarding which factors are associated with discharge to a rehabilitation facility. This study aims to expand on prior research by identifying factors associated with disposition and by introducing a prediction model for these factors.</p><p><strong>Methods: </strong>The National Trauma Data Bank was queried for patients aged 18 years or older who presented to US trauma centers from 2019 to 2021 with traumatic spinal cord injury. Multivariate logistic regression models were used to determine which patient, injury, and hospital variables were significant factors for disposition to a rehabilitation facility, compared to home and intermediate care facilities. Prediction modeling was then performed using these factors.</p><p><strong>Results: </strong>Overall, 14,597 patients were identified, of whom 6,220 were discharged to a rehabilitation facility, 2,647 to an intermediate care facility, and 5,730 to home. Significant factors associated with discharge to a rehabilitation facility compared to home included age, injury location and severity, insurance type, estimated length of stay, systolic blood pressure at admission, and admission blood alcohol level and drug screen results. Similarly, when comparing discharge to a rehabilitation facility with discharge to an intermediate care facility, sex, age, race, estimated length of stay, systolic blood pressure at admission, drug screen results, and coexisting substance use and metabolic conditions all significantly influenced disposition. Fine tree binary classification achieved a prediction accuracy of 72.5% when comparing discharge to a rehabilitation facility and home, and a prediction accuracy of 70.0% when comparing discharge to a rehabilitation facility and an intermediate care facility.</p><p><strong>Conclusions: </strong>This study demonstrates significant factors associated with discharge to a rehabilitation facility in patients with traumatic spinal cord injury. Further studies are needed to improve prediction accuracy.</p>\",\"PeriodicalId\":52698,\"journal\":{\"name\":\"Journal of Trauma and Injury\",\"volume\":\"38 3\",\"pages\":\"255-267\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Trauma and Injury\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20408/jti.2025.0049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/9/29 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Trauma and Injury","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20408/jti.2025.0049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/29 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

目的:以往的研究表明,早期康复与创伤性脊髓损伤患者较好的长期预后相关。然而,关于哪些因素与出院到康复机构有关的数据仍然有限。本研究旨在通过识别与性格相关的因素并引入这些因素的预测模型来扩展先前的研究。方法:对2019年至2021年在美国创伤中心就诊的18岁及以上的创伤性脊髓损伤患者进行国家创伤数据库的查询。使用多变量logistic回归模型来确定与家庭和中间护理机构相比,哪些患者、损伤和医院变量是选择康复机构的重要因素。然后利用这些因素进行预测建模。结果:总体而言,确定了14,597例患者,其中6,220例出院到康复机构,2,647例出院到中间护理机构,5,730例出院回家。与在家相比,与出院到康复机构相关的重要因素包括年龄、受伤部位和严重程度、保险类型、预计住院时间、入院时收缩压、入院时血液酒精水平和药物筛查结果。同样,当比较出院到康复机构和出院到中间护理机构时,性别、年龄、种族、估计住院时间、入院时收缩压、药物筛选结果、共存的物质使用和代谢状况都显著影响处置。细树二分类在比较康复机构和家庭出院时的预测准确率为72.5%,在比较康复机构和中间护理机构出院时的预测准确率为70.0%。结论:本研究证明了创伤性脊髓损伤患者出院到康复机构的显著因素。需要进一步的研究来提高预测的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of predictive factors and development of a prediction model for rehabilitation facility discharge in patients with traumatic spinal cord injury: a retrospective analysis of the National Trauma Data Bank.

Purpose: Previous studies have shown that early rehabilitation is associated with better long-term outcomes in patients with traumatic spinal cord injury. However, data are still limited regarding which factors are associated with discharge to a rehabilitation facility. This study aims to expand on prior research by identifying factors associated with disposition and by introducing a prediction model for these factors.

Methods: The National Trauma Data Bank was queried for patients aged 18 years or older who presented to US trauma centers from 2019 to 2021 with traumatic spinal cord injury. Multivariate logistic regression models were used to determine which patient, injury, and hospital variables were significant factors for disposition to a rehabilitation facility, compared to home and intermediate care facilities. Prediction modeling was then performed using these factors.

Results: Overall, 14,597 patients were identified, of whom 6,220 were discharged to a rehabilitation facility, 2,647 to an intermediate care facility, and 5,730 to home. Significant factors associated with discharge to a rehabilitation facility compared to home included age, injury location and severity, insurance type, estimated length of stay, systolic blood pressure at admission, and admission blood alcohol level and drug screen results. Similarly, when comparing discharge to a rehabilitation facility with discharge to an intermediate care facility, sex, age, race, estimated length of stay, systolic blood pressure at admission, drug screen results, and coexisting substance use and metabolic conditions all significantly influenced disposition. Fine tree binary classification achieved a prediction accuracy of 72.5% when comparing discharge to a rehabilitation facility and home, and a prediction accuracy of 70.0% when comparing discharge to a rehabilitation facility and an intermediate care facility.

Conclusions: This study demonstrates significant factors associated with discharge to a rehabilitation facility in patients with traumatic spinal cord injury. Further studies are needed to improve prediction accuracy.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
58
审稿时长
11 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信