类风湿性关节炎患者的抗脂蛋白 A-1 IgG、心血管事件和血脂悖论

Denis Mongin, S. Pagano, C. Lamacchia, Catherine Juillard, Paola Antinori-Malaspina, Diana Dan, Adrian Ciurea, Burkhard Möller, C. Gabay, Axel Finckh, Nicolas Vuilleumier
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摘要

目的:验证抗脂蛋白 A-1 (AAA1) IgG 对类风湿性关节炎 (RA) 主要不良心血管 (CV) 事件 (MACE) 的预后准确性,并在多中心范围内研究其与血脂悖论的关系。瑞士临床质量管理前瞻性登记处对 1472 名类风湿关节炎患者的血清进行了 AAA1 IgG 基线、血脂概况、致动脉粥样硬化指数和心脏生物标志物的测定,中位随访时间为 4.4 年。MACE是主要终点,定义为心血管死亡、致命或非致命中风或心肌梗死(MI),而选择性冠状动脉血运重建(ECR)是次要终点。在随访期间,2.4%(35/1,472)的患者发生了MACE,包括6例冠心病死亡、11例心肌梗死和18例脑卒中;2.1%(31/1,472)的患者发生了ECR。C统计量表明,AAA1对事件性MACE具有显著的判别准确性[C统计量:0.60,95%置信区间(95% CI):0.57-0.98,p = 0.03],主要由CV死亡引起(C统计量:0.77;95% CI:0.57-0.98,p = 0.01)。IRR 表明,AAA1 IgG 每增加一个单位,心血管疾病死亡率就会增加五倍,这与模型调整无关。在预定义和验证的临界值下,AAA1 对 MACE 的负预测值超过 97%。AAA1与总胆固醇和高密度脂蛋白胆固醇成反比。AAA1可独立预测RA患者的心血管死亡和轻微的MACE,因此需要进一步研究AAA1是否能通过识别低心血管风险的RA患者来加强心血管风险分层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Anti-apolipoprotein A-1 IgG, incident cardiovascular events, and lipid paradox in rheumatoid arthritis
To validate the prognostic accuracy of anti-apolipoprotein A-1 (AAA1) IgG for incident major adverse cardiovascular (CV) events (MACE) in rheumatoid arthritis (RA) and study their associations with the lipid paradox at a multicentric scale.Baseline AAA1 IgG, lipid profile, atherogenic indexes, and cardiac biomarkers were measured on the serum of 1,472 patients with RA included in the prospective Swiss Clinical Quality Management registry with a median follow-up duration of 4.4 years. MACE was the primary endpoint defined as CV death, incident fatal or non-fatal stroke, or myocardial infarction (MI), while elective coronary revascularization (ECR) was the secondary endpoint. Discriminant accuracy and incidence rate ratios (IRR) were respectively assessed using C-statistics and Poisson regression models.During follow-up, 2.4% (35/1,472) of patients had a MACE, consisting of 6 CV deaths, 11 MIs, and 18 strokes; ECR occurred in 2.1% (31/1,472) of patients. C-statistics indicated that AAA1 had a significant discriminant accuracy for incident MACE [C-statistics: 0.60, 95% confidence interval (95% CI): 0.57–0.98, p = 0.03], mostly driven by CV deaths (C-statistics: 0.77; 95% CI: 0.57–0.98, p = 0.01). IRR indicated that each unit of AAA1 IgG increase was associated with a fivefold incident CV death rate, independent of models’ adjustments. At the predefined and validated cut-off, AAA1 displayed negative predictive values above 97% for MACE. AAA1 inversely correlated with total and HDL cholesterol.AAA1 independently predicts CV deaths, and marginally MACE in RA. Further investigations are requested to ascertain whether AAA1 could enhance CV risk stratification by identifying patients with RA at low CV risk.
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