Difficulties capturing co-occurring traumatic brain injury among people with traumatic spinal cord injury: a population-based study

Author:

Snell Deborah L.,Johns Julianne,Dunn Jennifer A.ORCID,Nunnerley Joanne L.,Singhal Balraj

Abstract

Abstract Study design This is a population-based prospective cohort study. Objectives Traumatic brain injury (TBI) is common among people with traumatic spinal cord injury (TSCI), but rates vary across studies associated with variable approaches to diagnosis. We aimed to determine if a published diagnostic algorithm could be consistently applied to capture co-occurring TBI among persons sustaining TSCI. Setting One of two spinal centres in New Zealand (NZ), the Burwood Spinal Unit (BSU) captures approximately 45% of NZ TSCI admissions. Methods Adults (age 16+) with TSCI admitted to the BSU between 1 January 2021 and 31 August 2021 (n = 51) were included. Clinical notes were audited prospectively to identify co-occurring TBI. Results We identified co-occurring TBI in 39% of TSCI cases with a small number of additional suspected TBI cases where TBI could not be confidently ruled in or out. Including all TBI cases, suspected or otherwise resulted in up to 55% of the sample having sustained co-occurring TBI. There were difficulties applying the published algorithm, associated with inconsistent documentation of TBI indicators from acute to rehabilitation contexts. Conclusions In this study, the feasibility of a TBI diagnostic algorithm for the TSCI population was low. Alternative approaches to screening for TBI among people sustaining TSCI are needed. Greater consistency in documenting TBI across the continuum of care will ensure TBI if present, is included in treatment planning.

Funder

Manatu Hauora | Health Research Council of New Zealand

Publisher

Springer Science and Business Media LLC

Subject

Neurology (clinical),Neurology,General Medicine

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