Exploring symptom clusters and core symptoms during the vulnerable phase in patients with chronic heart failure: a network-based analysis

医学 担心 心力衰竭 认知 萧条(经济学) 物理疗法 焦虑 精神科 内科学 宏观经济学 经济
作者
Zekun Bian,Bin Shang,Caifeng Luo,Fei Lv,Weiyi Sun,Yijing Gong,Rui Li
出处
期刊:European Journal of Cardiovascular Nursing [Oxford University Press]
卷期号:24 (2): 279-287 被引量:3
标识
DOI:10.1093/eurjcn/zvae152
摘要

Abstract Aims To construct a symptom network of chronic heart failure patients in the vulnerable period and identify core symptoms and bridge symptoms between different symptom clusters. Methods and results A convenience sampling method was used to select 402 patients with chronic heart failure within 3 months after discharge from the cardiology departments of two tertiary-level A hospitals in Zhenjiang City, and symptom-related entries of the Minnesota living with heart failure questionnaire (MLHFQ) were used to conduct the survey. Symptom networks were constructed using the R language. The constructed symptom network was structurally stable, and the correlation stability coefficient was 0.595. In the network, ‘depression’ (MLHFQ9), ‘dyspnoea on exertion’ (MLHFQ3), and ‘worry’ (MLHFQ7) are the core symptoms. ‘Cognitive problems’ (MLHFQ8), ‘sleep difficulties’ (MLHFQ4), and ‘fatigue’ (MLHFQ6) are bridge symptoms connecting the emotional-cognitive and somatic symptom clusters. In the network comparison test, there were no significant differences in symptom networks between patients of different genders and places of residence. Conclusion ‘Depression’ and ‘increased need to rest’ are the core and most severe symptoms, respectively, in the vulnerable phase of chronic heart failure, and ‘cognitive problems’ is the most important bridge symptom. Clinical caregivers can build a precise intervention programme based on the core and bridge symptoms and focus on the emotional and cognitive symptom clusters, in order to improve the efficacy of symptom management during the vulnerable period in patients with chronic heart failure.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
yangmin完成签到,获得积分10
刚刚
刚刚
苗条平萱完成签到,获得积分10
1秒前
王多肉发布了新的文献求助10
1秒前
平淡寻菡完成签到,获得积分10
2秒前
2秒前
zjw发布了新的文献求助20
2秒前
糖串串完成签到,获得积分10
2秒前
3秒前
smm发布了新的文献求助10
3秒前
lsw发布了新的文献求助10
3秒前
Mira完成签到,获得积分10
4秒前
4秒前
4秒前
bkagyin应助王心桐采纳,获得10
4秒前
领导范儿应助why采纳,获得10
5秒前
5秒前
Hello应助yr888采纳,获得10
5秒前
SciGPT应助小菜狗采纳,获得10
6秒前
linya发布了新的文献求助10
6秒前
6秒前
IMP完成签到 ,获得积分10
6秒前
loststarts完成签到 ,获得积分10
6秒前
zly完成签到,获得积分10
7秒前
7秒前
两句话发布了新的文献求助210
7秒前
寒冷板栗完成签到,获得积分10
8秒前
lsw完成签到,获得积分10
8秒前
yilin完成签到 ,获得积分10
8秒前
8秒前
9秒前
9秒前
123发布了新的文献求助10
9秒前
Hello应助wxt采纳,获得10
9秒前
量子星尘发布了新的文献求助10
10秒前
10秒前
大模型应助未来采纳,获得30
11秒前
11秒前
霍师傅发布了新的文献求助10
11秒前
齐婷婷发布了新的文献求助10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Basic And Clinical Science Course 2025-2026 3000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
人脑智能与人工智能 1000
花の香りの秘密―遺伝子情報から機能性まで 800
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
Pharmacology for Chemists: Drug Discovery in Context 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5609888
求助须知:如何正确求助?哪些是违规求助? 4694483
关于积分的说明 14882481
捐赠科研通 4720586
什么是DOI,文献DOI怎么找? 2544960
邀请新用户注册赠送积分活动 1509797
关于科研通互助平台的介绍 1473002