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系统性硬化症患者自我报告的身体健康状况的临床相关性

Clinical correlates of self-reported physical health status in systemic sclerosis.

作者信息

Hudson Marie, Steele Russell, Lu Ying, Thombs Brett D, Panopalis Pantelis, Baron Murray

机构信息

SMBD-Jewish General Hospital and McGill University, Room A-216, 3755 Cote Ste. Catherine Road, Montreal, Quebec H3T 1E2, Canada.

出版信息

J Rheumatol. 2009 Jun;36(6):1226-9. doi: 10.3899/jrheum.081057. Epub 2009 May 15.

DOI:10.3899/jrheum.081057
PMID:19447939
Abstract

OBJECTIVE

Systemic sclerosis (SSc) is a multisystem disease associated with impaired health-related quality of life (HRQOL). Our objective was to identify the clinical characteristics that correlate with the physical health status of patients with SSc, as assessed by the Medical Outcomes Trust Short Form-36 (SF-36).

METHODS

Cross-sectional, multicenter study of 416 patients from the Canadian Scleroderma Research Group Registry. Patients were assessed with detailed clinical histories, medical examinations, and self-administered SF-36. Multiple linear regression was used to assess the relationship between selected demographic and clinical variables and the SF-36 Physical Component Summary (PCS) score.

RESULTS

The greatest impairments in the SF-36 were in the domains measuring physical health, and the mean SF-36 PCS score was 37.5 (+/-11.2). In multivariate analysis, significant clinical predictors of the SF-36 PCS were shortness of breath, number of gastrointestinal problems, skin score, swollen joint count, and age. The final model explained 47% of the variance in the SF-36 PCS.

CONCLUSION

Clinical characteristics identified as significant correlates of the self-reported physical health status in SSc should each be targets of intervention in order to improve the HRQOL of patients with this disease.

摘要

目的

系统性硬化症(SSc)是一种与健康相关生活质量(HRQOL)受损相关的多系统疾病。我们的目的是确定与通过医学结局信托简短健康调查问卷36项版本(SF - 36)评估的SSc患者身体健康状况相关的临床特征。

方法

对来自加拿大硬皮病研究组登记处的416例患者进行横断面多中心研究。通过详细的临床病史、体格检查和患者自行填写的SF - 36对患者进行评估。采用多元线性回归评估选定的人口统计学和临床变量与SF - 36身体成分总结(PCS)评分之间的关系。

结果

SF - 36中受损最严重的是测量身体健康的领域,SF - 36 PCS的平均评分为37.5(±11.2)。在多变量分析中,SF - 36 PCS的显著临床预测因素为呼吸急促、胃肠道问题数量、皮肤评分、肿胀关节计数和年龄。最终模型解释了SF - 36 PCS中47%的方差。

结论

在SSc中被确定为与自我报告的身体健康状况显著相关的临床特征均应成为干预目标,以改善该病患者的HRQOL。

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