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患者报告结局可预测狼疮患者的死亡率。

Patient-Reported Outcomes Predict Mortality in Lupus.

机构信息

Stanford Health Care, Palo Alto, California.

Rush University Medical Center, Chicago, Illinois.

出版信息

Arthritis Care Res (Hoboken). 2019 Aug;71(8):1028-1035. doi: 10.1002/acr.23734. Epub 2019 Jul 13.

Abstract

OBJECTIVE

Physician-assessed disease activity and damage predict mortality in systemic lupus erythematosus (SLE). Patient-reported outcomes (PROs) are known predictors of mortality in other chronic diseases, but this relationship has not been well examined in SLE. The aim of the present study was to assess whether PROs predict mortality in SLE.

METHODS

Data were derived from the University of California at San Francisco Lupus Outcomes Study (n = 728). PROs (Medical Outcomes Study Short Form 36 [SF-36] subscales), self-rated health, and depression (Center for Epidemiologic Studies Depression scale [CES-D]) from 2007 (baseline data [T0]) were used to predict mortality (censored 2015). Univariate Cox regression analyses were completed for each PRO as a predictor of mortality, and multivariate Cox regression with covariates for each PRO separately. Covariates were age, sex, race/ethnicity, poverty, disease duration, disease activity (Systemic Lupus Activity Questionnaire), and damage (Brief Index of Lupus Damage).

RESULTS

The mean ± SD age of patients was 50.6 ± 12.6 years. Ninety-two percent of patients were women and 68.5% were white. There were 71 deaths (9.1%). In univariate analyses, both the SF-36 physical component subscale score and self-rated health were associated with mortality, and the SF-36 mental health subscale and CES-D scores were not associated with mortality. In multivariate analyses, lower scores of SF-36 physical function at T0 independently predicted mortality after controlling for all other covariates (hazard ratio 0.97 [95% confidence interval 0.94-0.99]; P < 0.01).

CONCLUSION

Patient-reported physical function independently predicted mortality in SLE, even after accounting for demographics (including poverty) and disease (duration, activity, and damage). Because PROs are easy to assess, they may be used to triage, track, and guide early interventions for those at high risk of mortality in SLE.

摘要

目的

医生评估的疾病活动度和损伤可预测系统性红斑狼疮(SLE)患者的死亡率。患者报告的结局(PROs)是其他慢性疾病死亡率的已知预测因素,但在 SLE 中尚未对此关系进行充分研究。本研究旨在评估 PROs 是否可预测 SLE 患者的死亡率。

方法

数据来自加利福尼亚大学旧金山狼疮结局研究(n = 728)。使用 2007 年(基线数据 [T0])的 PROs(医疗结局研究简表 36 [SF-36] 量表)、自我报告的健康状况和抑郁(流行病学研究中心抑郁量表 [CES-D])来预测死亡率(截止 2015 年)。完成了每个 PRO 作为死亡率预测指标的单变量 Cox 回归分析,以及分别针对每个 PRO 的多变量 Cox 回归分析,这些 PRO 的协变量包括年龄、性别、种族/民族、贫困、疾病持续时间、疾病活动度(系统性红斑狼疮活动问卷)和损伤(狼疮损伤简短指数)。

结果

患者的平均年龄 ± 标准差为 50.6 ± 12.6 岁。92%的患者为女性,68.5%为白人。有 71 例死亡(9.1%)。在单变量分析中,SF-36 生理功能子量表评分和自我报告的健康状况均与死亡率相关,而 SF-36 心理健康子量表和 CES-D 评分与死亡率无关。在多变量分析中,在控制所有其他协变量后,T0 时 SF-36 生理功能评分较低独立预测死亡率(风险比 0.97 [95%置信区间 0.94-0.99];P < 0.01)。

结论

即使考虑到人口统计学因素(包括贫困)和疾病(持续时间、活动度和损伤),患者报告的生理功能也可独立预测 SLE 患者的死亡率。由于 PROs 易于评估,因此它们可用于对 SLE 患者进行高死亡率风险的分诊、跟踪和指导早期干预。

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