Patient Predictors of Surgical Candidacy in Elective Spine Disorders

Author:

Yang Michael M.H.ORCID,St-Pierre Godefroy Hardy,DuPlessis Stephan

Abstract

AbstractBackgroundThe expansion of age-related degenerative spine pathologies has led to increased referrals to spine surgeons. However, the majority of patients referred for surgical consultation do not need surgery, leading to inefficient use of healthcare resources. This study aims to elucidate preoperative patient variables that are predictive of patients being offered spine surgery.MethodsWe conducted an observational cohort study on patients referred to our institution between May 2013 and January 2015. Patients completed a detailed preclinic questionnaire on items such as history of presenting illness, quality-of-life questionnaires, and past medical history. The primary end point was whether surgery was offered. A multivariable logistical regression using the random forest method was used to determine the odds of being offered surgery based on preoperative patient variables.ResultsAn analysis of 1194 patients found that preoperative patient variables that reduced the odds of surgery being offered include mild pain (odds ratio [OR] 0.37,p=0.008), normal walking distance (OR 0.51,p=0.007), and normal sitting tolerance (OR 0.58,p=0.01). Factors that increased the odds of surgery include radiculopathy (OR 2.0,p=0.001), patient’s belief that they should have surgery (OR 1.9,p=0.003), walking distance <50 ft (OR 1.9,p=0.01), relief of symptoms when bending forward (OR 1.7,p=0.008) and sitting (OR 1.6,p=0.009), works more slowly (OR 1.6p=0.01), aggravation of symptoms by Valsalva (OR 1.4,p=0.03), and pain affecting sitting/standing (OR 1.1,p=0.001).ConclusionsWe identified 11 preoperative variables that were predictive of whether patients were offered surgery, which are important factors to consider when screening outpatient spine referrals.

Publisher

Cambridge University Press (CUP)

Subject

Neurology (clinical),Neurology,General Medicine

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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