[The Need for Palliative Care for Patients With Chronic Heart Failure].

IF 0.5 4区医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS

Kardiologiya Pub Date : 2025-04-30 DOI:10.18087/cardio.2025.4.n2798

V I Shevtsova

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引用次数: 0

Abstract

Aim To assess the need for palliative medical care (PMC) in patients with chronic heart failure (CHF) depending on their body composition.Material and methods The study included 298 subjects (115 men and 183 women aged 61 [53; 69] years), who were divided into 5 groups based on their body composition, the presence of obesity and sarcopenia. Kaplan-Meier analysis was used to assess survival, and Cox regression was used to assess the impact of factors.Results Analysis of the need for PMC in patients with CHF depending on body composition showed that patients with sarcopenic obesity had a shorter time to onset of indications for PMC (14.2±2.2 months; 95% confidence interval (CI) 9.8-18.5 months) compared to patients in other groups. The probability of indications for PMC significantly increased with an increase in the ratio of muscle mass index to body mass index (MMI/BMI) by 22.9 times (p<0.001); with an increase in functional class by one by 1.99 times (p<0.001); with an increase in the galectin-3 concentration by 1 ng/ml by 1.02 times (p=0.002); with a decrease in the Barthel index by 0.96 times (p<0.001); and with the presence of sarcopenia by 73% (p<0.001).Conclusion Patients' need for PMC is influenced by body composition, and patients with sarcopenic obesity have a shorter time to indications for PMC compared to patients with or without isolated body composition disorders.

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[慢性心力衰竭患者需要姑息治疗]。

目的评估慢性心力衰竭（CHF）患者对姑息治疗（PMC）的需求。材料与方法研究纳入298名受试者(男性115名，女性183名，年龄61岁[53；[69]年)，根据他们的身体组成、是否存在肥胖和肌肉减少症分为5组。生存率采用Kaplan-Meier分析，影响因素采用Cox回归分析。结果分析了CHF患者对PMC的需求与身体组成的关系，结果表明，肌肉减少型肥胖患者到PMC适应症发作的时间较短(14.2±2.2个月；95%可信区间（CI） 9.8 ~ 18.5个月)。肌肉质量指数/体重指数（MMI/BMI）增加22.9倍，PMC的适应症概率显著增加（p<0.001）；功能类增加1个，增加1.99倍（p<0.001）；半凝集素-3浓度增加1 ng/ml，增加1.02倍（p=0.002）；Barthel指数下降0.96倍（p<0.001）；73%的人存在肌肉减少症（p<0.001）。结论患者对PMC的需求受身体成分的影响，肌肉减少型肥胖患者比有或无孤立性身体成分障碍的患者到PMC适应证的时间更短。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Kardiologiya 医学-心血管系统

CiteScore

1.70

自引率

20.00%

发文量

审稿时长

3-8 weeks

期刊介绍： “Kardiologiya” (Cardiology) is a monthly scientific, peer-reviewed journal committed to both basic cardiovascular medicine and practical aspects of cardiology. As the leader in its field, “Kardiologiya” provides original coverage of recent progress in cardiovascular medicine. We publish state-of-the-art articles integrating clinical and research activities in the fields of basic cardiovascular science and clinical cardiology, with a focus on emerging issues in cardiovascular disease. Our target audience spans a diversity of health care professionals and medical researchers working in cardiovascular medicine and related fields. The principal language of the Journal is Russian, an additional language – English (title, authors’ information, abstract, keywords). “Kardiologiya” is a peer-reviewed scientific journal. All articles are reviewed by scientists, who gained high international prestige in cardiovascular science and clinical cardiology. The Journal is currently cited and indexed in major Abstracting & Indexing databases: Web of Science, Medline and Scopus. The Journal''s primary objectives Contribute to raising the professional level of medical researchers, physicians and academic teachers. Present the results of current research and clinical observations, explore the effectiveness of drug and non-drug treatments of heart disease, inform about new diagnostic techniques; discuss current trends and new advancements in clinical cardiology, contribute to continuing medical education, inform readers about results of Russian and international scientific forums; Further improve the general quality of reviewing and editing of manuscripts submitted for publication; Provide the widest possible dissemination of the published articles, among the global scientific community; Extend distribution and indexing of scientific publications in major Abstracting & Indexing databases.