University of California, San Francisco.
Arthritis Care Res (Hoboken). 2014 Jul;66(7):1057-62. doi: 10.1002/acr.22268.
To provide further validation of the Brief Index of Lupus Damage (BILD), assessing its sensitivity to change in disease status and ability to predict mortality risk.
Data were from the University of California, San Francisco Lupus Outcomes Study (n = 958), in which the BILD was administered twice, approximately 5 years apart. We examined disease activity and health care utilization among participants who completed the BILD twice (n = 745). We identified increases in disease activity and utilization that would suggest a disease flare between the 2 BILD administrations and compared their occurrence by BILD score increases (0, 1, 2, 3, >3). Deaths were ascertained when annual interviews were attempted. Kaplan-Meier life-table analysis compared mortality rates for 4 groups of initial BILD scores (0, 1, 2, ≥3), and differences were tested using a log rank test. Using Cox proportional hazards models, we estimated the risk of death associated with higher BILD scores.
BILD score increases were associated with spikes in disease activity (P = 0.05) and physician visits (P = 0.004) over baseline, and with hospitalizations (P < 0.001) during the intervening years. Of those with BILD score increases >3, 84% were hospitalized prior to the second BILD. During followup, there were 60 deaths (6.3%). BILD scores of 2 (hazard ratio [HR] 6.1, 95% confidence interval [95% CI] 1.3-30.0) and ≥3 (HR 10.8, 95% CI 2.5-46.2) were associated with higher risk of death.
This analysis provides evidence of the predictive validity of the BILD and its ability to detect change. While not intended to replace clinical evaluation of disease damage, the BILD appears to be a useful tool for research.
进一步验证狼疮损伤简要指数(BILD),评估其对疾病状态变化的敏感性和预测死亡风险的能力。
数据来自加利福尼亚大学旧金山狼疮结局研究(n = 958),其中两次使用 BILD,大约相隔 5 年。我们检查了完成两次 BILD 评估的参与者(n = 745)的疾病活动度和医疗保健利用情况。我们确定了在两次 BILD 评估之间可能提示疾病发作的疾病活动度和利用度增加,并根据 BILD 评分增加(0、1、2、3、>3)来比较其发生率。当尝试进行年度访谈时,确定死亡人数。Kaplan-Meier 生命表分析比较了初始 BILD 评分(0、1、2、≥3)的 4 组死亡率,并使用对数秩检验进行了差异检验。使用 Cox 比例风险模型,我们估计了与较高 BILD 评分相关的死亡风险。
BILD 评分增加与基线时疾病活动度(P = 0.05)和医生就诊次数(P = 0.004)的飙升以及随访期间的住院治疗(P < 0.001)相关。在 BILD 评分增加>3 的患者中,84%在第二次 BILD 前住院。在随访期间,有 60 人死亡(6.3%)。BILD 评分 2(危险比[HR]6.1,95%置信区间[95%CI]1.3-30.0)和≥3(HR 10.8,95%CI 2.5-46.2)与更高的死亡风险相关。
这项分析提供了 BILD 的预测有效性及其检测变化能力的证据。虽然 BILD 不旨在替代疾病损伤的临床评估,但它似乎是一种有用的研究工具。