Behçet's Syndrome Overall Damage Index performance and validation in an adult Egyptian cohort.

IF 1.1 Q4 RHEUMATOLOGY Archives of rheumatology Pub Date : 2024-12-12 eCollection Date: 2024-12-01 DOI:10.46497/ArchRheumatol.2024.10893
Doaa Attia, Lobna Maged
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Abstract

Objectives: This study aimed to evaluate the performance of the Behçet's Syndrome Overall Damage Index (BODI) in an adult Egyptian cohort.

Patients and methods: This longitudinal retrospective cohort study included 282 adult patients (233 males, 49 females; mean age: 35.3±8.7 years; range, 16 to 66 years) with Behçet's disease (BD) between January 1980 and December 2022. BODI was assessed regarding construct validity, sensitivity to change, and intra- and inter-rater reliability. The ability of BODI to discriminate between activity and damage was evaluated. Its performance in another vasculitis syndrome was assessed in 12 patients with antineutrophil cytoplasmic antibody-associated vasculitis.

Results: BODI captured more damage items compared to the Vasculitis Damage Index (VDI). BODI scores were not correlated with disease activity and had poor performance in other vasculitides. BODI had a trend of progressive increment over time. It showed consistence when reassessed by the same rater and by different raters. Some damage items in the study cohort were lacking in BODI.

Conclusion: BODI is more comprehensive compared to VDI. It shows good face, construct, and discriminant validity. It is sensitive to change and has good intra- and inter-rater reliability. Newer versions of BODI are recommended to increase score comprehensiveness.

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behaperet综合征总体损害指数在埃及成年队列中的表现和验证。
目的:本研究旨在评估埃及成年队列中behet综合征总体损伤指数(BODI)的表现。患者和方法:本纵向回顾性队列研究纳入282例成年患者(男性233例,女性49例;平均年龄:35.3±8.7岁;在1980年1月至2022年12月期间患有behaperet病(BD)的年龄范围为16至66岁。对BODI进行了构念效度、对变化的敏感性以及量表内和量表间的信度评估。评估了BODI区分活动和损伤的能力。在12例抗中性粒细胞细胞质抗体相关血管炎患者中评估了其在另一种血管炎综合征中的表现。结果:与血管炎损伤指数(VDI)相比,BODI捕获了更多的损伤项目。BODI评分与疾病活动无关,在其他血管疾病中表现不佳。BODI有随时间逐渐增加的趋势。当由相同的评价者和不同的评价者重新评估时,它显示出一致性。研究队列中一些损伤项目缺乏BODI。结论:与VDI相比,BODI更全面。具有良好的面孔、结构和判别效度。它对变化敏感,具有良好的内部和内部信度。建议使用较新版本的BODI,以提高分数的全面性。
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