Risk factors and predictive model for mild cognitive impairment in elderly patients with rheumatoid arthritis.

IF 2.1 Q3 RHEUMATOLOGY
Jun Yan, Hua Guo, Lin-Xin Zhang, Pei Chen, Yong-Ku Du, Juan Li, Ya-Ya Gao, Nan Ye
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引用次数: 0

Abstract

Background: Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by joint destruction and systemic inflammation, both of which significantly impair patients' quality of life. Mild cognitive impairment (MCI), a reversible precursor to dementia, is increasingly prevalent among elderly RA patients. Early identification of MCI in this population allows for timely interventions to slow cognitive decline.

Objective: This study aims to identify independent risk factors for MCI in elderly patients with RA and to develop a predictive nomogram.

Methods: We enrolled 378 elderly RA patients, aged 60 to 80 years, from Xi'an Fifth Hospital between December 2023 and December 2024. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), with scores ranging from 20 to 26 indicating MCI. We analyzed demographic, clinical, and laboratory data to identify risk factors through logistic regression and constructed a nomogram. The model's performance was evaluated using receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA).

Results: Among the 378 patients, 94 (24.87%) were classified in the RA-MCI group. Multivariate analysis identified the course of disease (COD) (OR = 1.07, 95% CI: 1.03-1.10), elevated Disease Activity Score-28 (DAS28) (OR = 1.31, 95% CI: 1.13-1.53), high C-reactive protein (CRP) levels (OR = 1.01, 95% CI: 1.01-1.02), and osteoporosis (OP) (OR = 1.88, 95% CI: 1.14-3.13) as independent risk factors. The nomogram demonstrated moderate discrimination (AUC = 0.750, 95% CI: 0.696-0.805) and clinical utility.

Conclusion: The COD, OP, DAS28, and CRP levels are key predictors of MCI in elderly RA patients. The proposed nomogram provides a practical tool for early risk stratification, facilitating targeted interventions to delay cognitive decline.

Trial registration: This study conformed to the principles outlined in the Declaration of Helsinki and received approval from the Medical Ethics Committee of Xi'an Fifth Hospital (Approval No.: [2023] Ethics Review 55). Additionally, the trial was registered with the Chinese Clinical Trial Registry (Registration No.: ChiCTR2300077337, Registration Date: 2023-11-01). Written informed consent was obtained from all individual participants included in the study.

老年类风湿关节炎患者轻度认知障碍的危险因素及预测模型。
背景:类风湿关节炎(RA)是一种以关节破坏和全身炎症为特征的慢性自身免疫性疾病,这两种疾病都会严重影响患者的生活质量。轻度认知障碍(MCI)是痴呆的可逆性前兆,在老年RA患者中越来越普遍。在这一人群中,早期识别轻度认知障碍可以及时干预以减缓认知能力下降。目的:本研究旨在确定老年RA患者MCI的独立危险因素,并建立预测图。方法:2023年12月至2024年12月,我们在西安市第五医院招募了378例老年RA患者,年龄在60 ~ 80岁之间。使用蒙特利尔认知评估(MoCA)评估认知功能,得分在20到26分之间表示MCI。我们分析了人口统计学、临床和实验室数据,通过逻辑回归来确定危险因素,并构建了一个nomogram。采用受试者工作特征(ROC)曲线、校正图和决策曲线分析(DCA)对模型的性能进行评价。结果:378例患者中,94例(24.87%)归为RA-MCI组。多因素分析确定病程(COD) (OR = 1.07, 95% CI: 1.03-1.10)、疾病活动评分-28 (DAS28)升高(OR = 1.31, 95% CI: 1.13-1.53)、高c反应蛋白(CRP)水平(OR = 1.01, 95% CI: 1.01-1.02)和骨质疏松(OP) (OR = 1.88, 95% CI: 1.14-3.13)为独立危险因素。nomogram显示中度识别(AUC = 0.750, 95% CI: 0.696-0.805)和临床实用性。结论:COD、OP、DAS28、CRP水平是老年RA患者MCI的重要预测指标。所提出的nomogram为早期风险分层提供了一个实用的工具,促进了有针对性的干预以延缓认知能力下降。试验注册:本研究符合《赫尔辛基宣言》中概述的原则,并获得西安市第五医院医学伦理委员会批准(批准号:[2023]中国社会科学(英文版)。此外,该试验已在中国临床试验注册中心注册(注册号:注册号:ChiCTR2300077337,注册日期:2023-11-01)。所有参与研究的个体都获得了书面知情同意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Rheumatology
BMC Rheumatology Medicine-Rheumatology
CiteScore
3.80
自引率
0.00%
发文量
73
审稿时长
15 weeks
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