与中老年人心脏代谢疾病进展相关的肺活量测定模式:一项前瞻性队列研究

IF 3.6
Maturitas Pub Date : 2025-10-01 Epub Date: 2025-08-06 DOI:10.1016/j.maturitas.2025.108689
Nana Wang, Xuezhong Shi, Tianrun Wang, Xiaocan Jia, Zhixing Fan, Chaojun Yang, Yuping Wang, Jingwen Fan, Chenyu Zhao, Yali Niu, Yongli Yang
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引用次数: 0

摘要

目的:探讨中老年人肺活量测定模式与心脏代谢疾病进展的关系,并探讨c反应蛋白水平和评分对血浆动脉粥样硬化指数的调节作用。方法:基于来自UK Biobank的320,795名参与者,使用一秒钟用力呼气量和用力肺活量的基线测量定义了五种肺活量测量模式。心脏代谢疾病包括2型糖尿病、冠心病和中风。采用多状态模型和中介分析进行统计分析。结果:在中位13.68年的随访期间,37,053名参与者出现了至少一种心脏代谢疾病,3746名参与者出现了心脏代谢多病,22,204名参与者死亡。在从基线到第一次心脏代谢诊断的过渡过程中,与正常肺功能相比,气流阻塞的风险比(95%可信区间)为1.14(1.11,1.17),单独保留比例受损肺活量测定法的风险比为1.17(1.10,1.23),单独限制性肺活量测定法的风险比为1.21(1.10,1.32),保留比例受损肺活量测定法与限制性肺活量测定法联合使用的风险比为1.38(1.33,1.43)。保留比例受损肺活量测定法与限制性肺活量测定法相结合,也与从最初的心脏代谢疾病发展为多重疾病的高风险相关(危险比:1.21;95%置信区间:1.10,1.33)。血浆c反应蛋白水平和动脉粥样硬化指数评分介导了肺活量测定模式与心脏代谢疾病之间6.56% ~ 15.74%的相关性。结论:肺活量学模式在整个心脏代谢疾病的进展过程中表现出不同的影响,血浆c反应蛋白和动脉粥样硬化指数在这些影响中起部分作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spirometric patterns associated with the progression of cardiometabolic diseases in middle-aged and older adults: A prospective cohort study.

Objective: To explore the associations between spirometric patterns and cardiometabolic diseases progression in middle-aged and older adults, and examine the mediating effects of levels of C-reactive protein and score on the atherogenic index of plasma.

Methods: Based on 320,795 participants from the UK Biobank, five spirometric patterns were defined using baseline measurements of forced expiratory volume in one second and forced vital capacity. The cardiometabolic diseases included type 2 diabetes, coronary heart disease, and stroke. Multistate model and mediation analysis were used for statistical analyses.

Results: During a median follow-up of 13.68 years, 37,053 participants developed at least one cardiometabolic disease, 3746 developed cardiometabolic multimorbidity, and 22,204 died. In the transition from baseline to first cardiometabolic diagnosis, the hazard ratios (95 % confidence intervals) compared with normal lung function were 1.14 (1.11, 1.17) for airflow obstruction, 1.17 (1.10, 1.23) for preserved ratio impaired spirometry alone, 1.21 (1.10, 1.32) for restrictive spirometric pattern alone, and 1.38 (1.33, 1.43) for the combined preserved ratio impaired spirometry with restrictive spirometric pattern. Combined preserved ratio impaired spirometry with restrictive spirometric pattern was also associated with a higher risk of progressing from first cardiometabolic disease to multimorbidity (hazard ratio: 1.21; 95 % confidence interval: 1.10, 1.33). The levels of C-reactive protein and score on the atherogenic index of plasma mediated 6.56 % to 15.74 % of the associations between spirometric patterns and cardiometabolic diseases.

Conclusions: Spirometric patterns exhibit differential effects throughout the progression of cardiometabolic diseases, and C-reactive protein and atherogenic index of plasma play a partial role in mediating these effects.

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