性格特征有助于解释膝关节骨关节炎放射学测量、疼痛和身体功能之间关系的个体差异。

IF 3.4 2区 医学 Q2 RHEUMATOLOGY
Therapeutic Advances in Musculoskeletal Disease Pub Date : 2024-03-21 eCollection Date: 2024-01-01 DOI:10.1177/1759720X241235805
Angela M Mickle, Roland Staud, Cynthia S Garvan, Daniel A Kusko, Nicola Sambuco, Brittany R Addison, Kevin R Vincent, David T Redden, Burel R Goodin, Roger B Fillingim, Kimberly T Sibille
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引用次数: 0

摘要

背景:膝关节骨性关节炎(KOA)放射影像学Kellgren-Lawrence(KL)评分与实验和临床疼痛以及KOA相关身体功能之间的一致性存在矛盾:我们研究了将性格特征纳入研究是否会减少膝关节疼痛患者的 KOA 影像学检查结果、实验性疼痛、临床疼痛和功能之间的差异:本研究是对 UPLOAD-II 研究数据的横断面二次分析:研究对象为年龄在 45-85 岁之间、患有或不患有膝关节疼痛的成年人。收集的数据包括社会人口统计学、膝关节X光片、实验性疼痛、临床疼痛和功能以及特质情感。根据积极和消极特质情感的综合测量结果,对脆弱和保护性性格特征进行了分类。KL评分是根据膝关节X光片确定的。使用 SAS 9.4 版(美国北卡罗来纳州凯里)完成了未调整和调整(年龄、性别、合并症和体重指数)回归分析:研究对象包括 218 人,平均年龄 58 岁,女性占 63.6%,非西班牙裔黑人占 48.2%。性格特征与实验性疼痛测量相关。未观察到放射学 KOA 与实验性疼痛之间存在关联。在综合调整分析中,性格特征可预测膝关节点状疼痛的时间总和(p = 0.0382)。性格特征和放射学 KOA 评分的独立和组合均可预测慢性疼痛分级量表(Graded Chronic Pain Scale)疼痛和功能以及西安大略和麦克马斯特大学(Western Ontario and McMaster University)疼痛和功能(PS ⩽ 0.01)。在所有模型中,纳入处置特质后,R2均有所提高:结论:考虑性格特征可减少放射学 KOA 与疼痛和功能之间的差异。非病理性和与疼痛相关的心理因素和性格特征可作为改进临床评估的简明替代工具:不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dispositional traits help explain individual differences in relationships between a radiographic knee osteoarthritis measure, pain, and physical function.

Background: The concordance between radiograph-derived Kellgren-Lawrence (KL) scores for knee osteoarthritis (KOA) and experimental and clinical pain and KOA-related physical function is conflicting.

Objectives: We investigate whether the inclusion of dispositional traits reduces variability between KOA radiographic findings, experimental pain, clinical pain, and function in individuals with knee pain.

Design: This study is a cross-sectional, secondary analysis of data collected from the UPLOAD-II study.

Methods: Adults aged 45-85 years with and without knee pain were enrolled. Data collected included sociodemographics, knee radiographs, experimental pain, clinical pain and function, and trait affect. Vulnerable and protective dispositional traits were classified from combined positive and negative trait affect measures. KL scores were determined from the knee radiographs. Unadjusted and adjusted (age, sex, comorbidities, and body mass index) regression analyses were completed with SAS version 9.4 (Cary, NC, USA).

Results: The study included 218 individuals with a mean age of 58 years, 63.6% women, and 48.2% non-Hispanic black adults. Dispositional traits were associated with the experimental pain measures. No association between radiographic KOA and experimental pain was observed. In a combined and adjusted analysis, dispositional traits were predictive of knee punctate pain temporal summation (p = 0.0382). Both dispositional traits and radiographic KOA scores independently and combined were predictive of Graded Chronic Pain Scale pain and function, and Western Ontario and McMaster University pain and function (ps ⩽ 0.01). Improvements in R2 were noted across all models with the inclusion of dispositional traits.

Conclusion: Consideration of dispositional traits reduces the variability between radiographic KOA and pain and function. Non-pathological and associated pain-related psychological factors and dispositional traits might serve as parsimonious proxy tools to improve clinical assessments.

Registration: N/A.

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来源期刊
CiteScore
6.80
自引率
4.80%
发文量
132
审稿时长
18 weeks
期刊介绍: Therapeutic Advances in Musculoskeletal Disease delivers the highest quality peer-reviewed articles, reviews, and scholarly comment on pioneering efforts and innovative studies across all areas of musculoskeletal disease.
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