Tang Mengshi, Du Leilei, Peng Jia
Department of Rheumatology and Immunology, the Second Xiangya Hospital, Central South University, No. 139, Renmin Middle Road, Changsha, 410011, Hunan, China.
Laboratory of Cardiovascular Science, Beijing Clinical Research Institute, Beijing Friendship Hospital, Capital Medical University, 95 Yongan Road, Beijing, 100050, China.
Clin Rheumatol. 2025 Feb;44(2):623-633. doi: 10.1007/s10067-024-07272-0. Epub 2024 Dec 30.
To explore the relationship between urinary albumin-to-creatinine ratio (uACR) and all-cause/specific-cause mortality among patients with rheumatoid arthritis (RA).
This study included 1354 RA patients in the National Health and Nutritional Examination Surveys (NHANESs) during 1999-2018. The mortality status was assessed by linkage to death certificate data reported in the National Death Index (NDI) until December 31, 2019. Cox proportional hazards models and Kaplan-Meier (K-M) analysis were used to elucidate the relationship between uACR and all-cause/specific-cause mortality. Restricted cubic spline (RCS) was used to visualize the association of uACR with all-cause mortality risk. Stratified analyses were employed to identify patients with higher mortality risk.
Over a median of 115 months of follow-up, 298 deaths occurred. Cox proportional hazards models indicated that RA patients with higher uACR had an increased risk of all-cause mortality, but not cardiovascular disease, kidney disease, and cancer mortality. K-M survival curves showed a significant difference (log-rank, p < 0.001) in all-cause mortality among uACR tertiles. RCS analysis revealed an L-shaped association between uACR and all-cause mortality, and patients with uACR above the threshold points (5.96 mg/g) had a 13.2% increased risk of all-cause mortality (HRs 1.132; 95% CI 1.011, 1.267) for each ln unit increase in uACR. The stratified analysis revealed consistent patterns for correlations between uACR and all-cause mortality.
High uACR, even in the normal range, was associated with an increased risk of all-cause mortality (not specific-cause mortality) in individuals with RA. Identifying high-risk populations using uACR assessment may contribute to target risk interventions among RA patients in the future. Key points • uACR, even within the normal range, significantly increased the hazard for all-cause mortality among RA patients. • uACR has good performance in identifying populations with different mortality risk levels in RA patients. • uACR, independent of varied well-recognized cardiovascular risk factors, is a predictor of mortality in RA patients.
探讨类风湿关节炎(RA)患者尿白蛋白与肌酐比值(uACR)与全因/特定病因死亡率之间的关系。
本研究纳入了1999年至2018年期间美国国家健康与营养检查调查(NHANESs)中的1354例RA患者。通过与截至2019年12月31日国家死亡指数(NDI)报告的死亡证明数据进行关联来评估死亡状态。采用Cox比例风险模型和Kaplan-Meier(K-M)分析来阐明uACR与全因/特定病因死亡率之间的关系。使用限制立方样条(RCS)来直观显示uACR与全因死亡风险的关联。采用分层分析来识别死亡风险较高的患者。
在中位随访115个月期间,发生了298例死亡。Cox比例风险模型表明,uACR较高的RA患者全因死亡风险增加,但心血管疾病、肾脏疾病和癌症死亡率未增加。K-M生存曲线显示,uACR三分位数组之间全因死亡率存在显著差异(对数秩检验,p < 0.001)。RCS分析揭示了uACR与全因死亡率之间呈L形关联,uACR高于阈值点(5.96 mg/g)的患者,uACR每增加1个自然对数单位,全因死亡风险增加13.2%(风险比1.132;95%置信区间1.011, 1.267)。分层分析揭示了uACR与全因死亡率之间相关性的一致模式。
即使在正常范围内,高uACR也与RA患者的全因死亡风险增加(而非特定病因死亡风险增加)相关。使用uACR评估来识别高危人群可能有助于未来对RA患者进行针对性的风险干预。要点 • 即使在正常范围内,uACR也显著增加了RA患者的全因死亡风险。 • uACR在识别RA患者中不同死亡风险水平的人群方面表现良好。 • uACR独立于各种公认的心血管危险因素,是RA患者死亡率的一个预测指标。