中国全科医学

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血浆致动脉硬化指数与体检人群新发心力衰竭发病风险的队列研究

邓洁1,齐祺1,吴欣雨1,韩全乐1*,李雷1,蒋越2,郁静2,吴若洁3,吴寿岭4,李康博5   

  1. 1.063000河北省唐山市,唐山市工人医院心内科 2.063000河北省唐山市,唐山市工人医院导管室 3.300071天津市南开区,南开大学医学院 4.063000河北省唐山市,开滦总医院心内科 5.063000河北省唐山市,华北理工大学临床医学院
  • 收稿日期:2025-02-24 修回日期:2025-04-08 接受日期:2025-04-18
  • 通讯作者: 韩全乐
  • 基金资助:
    河北省医学课题重点研究计划项目(20231775)

The Atherogenic Index of Plasma is Associated with New-onset Heart Failure in the population undergoing physical examination

DENG Jie1,QI Qi1,WU Xinyu1,HAN Quanle1*,LI Lei1,JIANG Yue2,YU Jing2,WU Ruojie3,WU Shouling4,LI Kangbo5   

  • Received:2025-02-24 Revised:2025-04-08 Accepted:2025-04-18
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摘要: 背景 心力衰竭是多种心血管疾病的终末阶段,发病率高、预后差,严重影响患者生活质量。而血浆致动脉硬化指数(AIP)与动脉粥样硬化、冠心病等心血管疾病密切相关,而动脉粥样硬化是心力衰竭的重要危险因素。目的 探讨AIP对新发心力衰竭发病风险的影响。方法 本研究为回顾性队列研究,将2006年6月至2007年10月参加开滦研究健康体检的99 755例开滦集团在职及离退休职工作为观察人群,根据基线AIP四分位数将研究对象分为4组。随访至2021年12月31日,随访期间每年记录一次心力衰竭的发病情况。计算四组的心力衰竭发病密度,根据Kaplan-Meier法计算四组心力衰竭的累积发病率,采用多因素Cox回归分析AIP对新发心力衰竭发生风险的影响。结果 平均随访14.07(13.79,14.24)年期间,共新发心力衰竭3 337例(3.35%),Q1组-Q4组分别发生675例、734例、940例和988例,发病密度依次为1.95/千人年、2.13/千人年、2.73/千人年和2.87/千人年。随着AIP水平升高,Q1-Q4组中新发心力衰竭的累积发病率分别为2.47%、2.68%、3.48%和3.63%。经log-rank检验,差异均有统计学意义(P均<0.001)。在多因素Cox回归分析中,校正年龄、性别及心力衰竭传统危险因素后,与Q1组相比,Q3-Q4新发心力衰竭的HR(95% CI)分别为1.16(1.05-1.28)和1.20(1.08-1.33),差异均有统计学意义(P均<0.05)。结论 AIP是新发心力衰竭的独立危险因素,随着AIP水平增高,新发心力衰竭的发病风险亦随着增高。通过AIP可实现对心力衰竭高风险患者进行早期筛查与评估。

关键词: 血浆致动脉硬化指数, 心力衰竭, 危险因素

Abstract: Background Heart failure (HF) is the end stage of a variety of cardiovascular diseases, high incidence, poor prognosis, seriously affect the quality of life of patients. The atherogenic index of plasma (AIP) is closely related to atherosclerosis, coronary heart disease and other cardiovascular diseases, and atherosclerosis is an important risk factor for heart failure. Objective To investigate the effect of the AIP index on the risk of new-onset HF. Methods This is a prospective cohort study. 99 755 active and retired employees of Kailuan Group who participated in the health examination of the Kailuan Study from June 2006 to October 2007 were selected as the observation population, and the subjects were divided into 4 groups according to baseline AIP quartile. Follow-up will continue until 31 December 2021, during which the incidence of HF will be recorded once a year. The incidence density of HF in the 4 groups was calculated. The cumulative incidence of HF in the 4 groups was calculated using the Kaplan-Meier method. The effect of AIP on the risk of new-onset HF was analysed by Cox regression. Results During a mean follow-up of 14.07 (13.79, 14.24) years, there were 3 337 (3.35%) cases of new HF. There were 675, 734, 940 and 988 cases in group Q1-Q4, respectively, and the incidence density was 1.95/1000, 2.13/1000, 2.73/1000 and 2.87/1000 years, respectively. With increasing AIP level, the cumulative incidence of new HF in the Q1-Q4 group was 2.47%, 2.68%, 3.48% and 3.63%, respectively. According to the log-rank test, the differences were statistically significant (P <0.001). In multivariate Cox regression analysis, after adjustment for age, sex, and traditional HF risk factors, compared with Q1, the HR (95%CI) for new-onset HF in Q3-Q4 was 1.16 (1.05-1.28) and 1.20 (1.08-1.33), respectively, and the differences were statistically significant (P <0.05). Conclusion AIP is an independent risk factor for new HF. Early screening, evaluation and intervention of patients at high risk of HF can be achieved through AIP.

Key words: The Atherogenic Index of Plasma, Heart failure, Risk factor