多变量预测模型的恢复和索赔关闭相关的碰撞后颈部疼痛和相关疾病。

IF 2 4区 医学 Q2 REHABILITATION Chiropractic & Manual Therapies Pub Date : 2023-08-25 DOI:10.1186/s12998-023-00504-1
Maja Stupar, Pierre Côté, Linda J Carroll, Robert J Brison, Eleanor Boyle, Heather M Shearer, J David Cassidy
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引用次数: 0

摘要

目的:目前临床上用于预测碰撞后颈部疼痛及相关疾病患者康复的临床预测模型较少。我们的目的是建立基于证据的临床预测模型来预测(1)由交通碰撞引起或加重的颈部疼痛和相关疾病(NAD)的自我报告恢复和(2)保险索赔结束。方法:通过对文献的系统回顾来选择潜在的预测因子。我们使用Cox回归在萨斯喀彻温省成人事件队列(n = 4923)中建立模型。这些模型使用bootstrapping进行内部验证,并在安大略省进行的随机对照试验(n = 340)的参与者中进行重复验证。我们使用c统计来描述预测能力。结果:两个队列(萨斯喀彻温省和安大略省)的参与者在基线时相似。我们的自我报告康复预测模型包括先前交通相关颈部损伤索赔、康复预期、年龄、身体疼痛百分比、残疾、颈部疼痛强度和头痛强度(C = 0.643;95% ci 0.634-0.653)。索赔结案的预测模型包括先前交通相关颈部损伤索赔、康复预期、年龄、身体疼痛百分比、残疾、颈部疼痛强度、头痛强度和抑郁症状(C = 0.637;95% ci 0.629-0.648)。结论:我们建立了由交通碰撞引起或加重的NAD的恢复和索赔关闭的预测模型。未来的研究需要着重于提高模型的预测能力。
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Multivariable prediction models for the recovery of and claim closure related to post-collision neck pain and associated disorders.

Objective: Few clinical prediction models are available to clinicians to predict the recovery of patients with post-collision neck pain and associated disorders. We aimed to develop evidence-based clinical prediction models to predict (1) self-reported recovery and (2) insurance claim closure from neck pain and associated disorders (NAD) caused or aggravated by a traffic collision.

Methods: The selection of potential predictors was informed by a systematic review of the literature. We used Cox regression to build models in an incident cohort of Saskatchewan adults (n = 4923). The models were internally validated using bootstrapping and replicated in participants from a randomized controlled trial conducted in Ontario (n = 340). We used C-statistics to describe predictive ability.

Results: Participants from both cohorts (Saskatchewan and Ontario) were similar at baseline. Our prediction model for self-reported recovery included prior traffic-related neck injury claim, expectation of recovery, age, percentage of body in pain, disability, neck pain intensity and headache intensity (C = 0.643; 95% CI 0.634-0.653). The prediction model for claim closure included prior traffic-related neck injury claim, expectation of recovery, age, percentage of body in pain, disability, neck pain intensity, headache intensity and depressive symptoms (C = 0.637; 95% CI 0.629-0.648).

Conclusions: We developed prediction models for the recovery and claim closure of NAD caused or aggravated by a traffic collision. Future research needs to focus on improving the predictive ability of the models.

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来源期刊
Chiropractic & Manual Therapies
Chiropractic & Manual Therapies Medicine-Complementary and Alternative Medicine
CiteScore
3.20
自引率
15.80%
发文量
48
审稿时长
20 weeks
期刊介绍: Chiropractic & Manual Therapies publishes manuscripts on all aspects of evidence-based information that is clinically relevant to chiropractors, manual therapists and related health care professionals. Chiropractic & Manual Therapies is an open access journal that aims to provide chiropractors, manual therapists and related health professionals with clinically relevant, evidence-based information. Chiropractic and other manual therapies share a relatively broad diagnostic practice and treatment scope, emphasizing the structure and function of the body''s musculoskeletal framework (especially the spine). The practices of chiropractic and manual therapies are closely associated with treatments including manipulation, which is a key intervention. The range of services provided can also include massage, mobilisation, physical therapies, dry needling, lifestyle and dietary counselling, plus a variety of other associated therapeutic and rehabilitation approaches. Chiropractic & Manual Therapies continues to serve as a critical resource in this field, and as an open access publication, is more readily available to practitioners, researchers and clinicians worldwide.
期刊最新文献
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