临床荟萃 ›› 2026, Vol. 41 ›› Issue (2): 128-134.doi: 10.3969/j.issn.1004-583X.2026.02.005

• 论著 • 上一篇    下一篇

老年慢性心力衰竭患者生活质量下降的轨迹剖面分析及风险因素识别

赵玲艳1(), 史雪玲1, 鲜彦彦1, 李静静2   

  1. 1.中国人民解放军联勤保障部队第九八九医院 心血管内科,河南 洛阳 471000
    2.洛阳牡丹妇产医院手术室,河南 洛阳 471000
  • 收稿日期:2025-12-11 出版日期:2026-02-20 发布日期:2026-03-05
  • 通讯作者: 赵玲艳,Email: zly691562@126.com

Trajectory analysis of quality-of-life decline and identification of associated risk factors in elderly patients with chronic heart failure

Zhao Lingyan1(), Shi Xueling1, Xian Yanyan1, Li Jingjing2   

  1. 1. Department of Cardiovascular Medicine, the 989th Hospital of the Joint logistics Support Force of the Chinese People's Liberation Army, Luoyang 471000, China
    2. Operating Room, Luoyang Peony Maternity Hospital, Luoyang 471000, China
  • Received:2025-12-11 Online:2026-02-20 Published:2026-03-05
  • Contact: Zhao Lingyan, Email:zly691562@126.com

摘要:

目的 探讨老年慢性心力衰竭(chronic heart failure,CHF)患者生活质量下降的动态轨迹特征,并识别其相关的风险因素与保护因素。方法 选取2023年1月-2025年1月于中国人民解放军联勤保障部队第九八九医院心血管内科接受治疗的老年CHF患者217例,采用明尼苏达心力衰竭生活质量问卷在基线(入院时)、出院后1个月、3个月、6个月分别进行4次追踪评估。运用潜在增长混合模型识别患者生活质量的异质性轨迹类别,采用单因素和多因素logistic回归分析轨迹类别的影响因素。结果 本研究最终纳入197例完成全程追踪的老年CHF患者,样本脱落率9.22%、纳入率90.78%。潜在增长混合模型识别出3类生活质量下降轨迹:持续低水平组(n=35)、缓慢下降组(n=121)、快速下降组(n=41)。多因素logistic回归分析显示,年龄≥75岁、心功能Ⅳ级、左室射血分数≤35%、合并肾功能不全、合并贫血及抑郁是患者归入快速下降轨迹的独立危险因素(均P<0.01);而按时按量服药和规律有氧运动则是重要的保护因素(均P<0.01)。结论 老年CHF患者生活质量下降存在显著的动态异质性轨迹,临床应针对快速下降轨迹的高风险人群实施早期干预,通过强化用药管理、推广规律运动及关注心理状态等措施,延缓生活质量下降进程。

关键词: 慢性心力衰竭, 老年人, 生活质量, 风险因素

Abstract:

Objective To examine the dynamic trajectory patterns of quality-of-life (QOL) decline in elderly patients with chronic heart failure (CHF) and to identify associated risk and protective factors. Methods From January 2023 to January 2025, 217 elderly CHF patients treated in the Department of Cardiovascular Medicine, the 989th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, were enrolled. QOL was assessed using the Minnesota Living with Heart Failure Questionnaire (MLHFQ) at four time points: baseline (admission), and 1, 3, and 6 months after discharge. A latent growth mixture model (LGMM) was employed to identify heterogeneous QOL trajectory classes. Univariate and multivariate logistic regression analyses were performed to determine factors associated with trajectory membership. Results A total of 197 patients completed the entire follow-up (dropout rate 9.22%, completion rate 90.78%). LGMM identified three distinct QOL-decline trajectories: a persistently low-QOL group (n=35), a slowly declining group (n=121), and a rapidly declining group (n=41). Multivariate logistic regression showed that age ≥75 years, New York Heart Association (NYHA) class IV, left ventricular ejection fraction ≤35%, comorbid renal dysfunction, anemia, and depression were independent risk factors for belonging to the rapid-decline trajectory (all P<0.01). Adherence to prescribed medication and regular aerobic exercise were independent protective factors (both P<0.01). Conclusion Elderly CHF patients exhibit marked heterogeneity in QOL-decline trajectories. Early identification and targeted intervention for patients at high risk of rapid QOL deterioration, through enhanced medication management, promotion of regular exercise, and attention to psychological health, may help delay the decline in quality of life.

Key words: chronic heart failure, elderly, quality of life, risk factors

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