Pre‐hospital symptom clusters and symptom network analysis in decompensated cirrhotic patients: A cross‐sectional study

医学 焦虑 萧条(经济学) 观察研究 单变量分析 横断面研究 肝硬化 内科学 疾病 精神科 多元分析 病理 经济 宏观经济学
作者
Kebing Zhou,Xiaojiao Huang,Meiling Chen,Zhiying Li,Jieying Qin,Yaping Ji,Xin Yu,Fengxia Yan
出处
期刊:Journal of Advanced Nursing [Wiley]
标识
DOI:10.1111/jan.16044
摘要

Abstract Aims To generate pre‐hospital symptom networks, explore core, bridge and sentinel symptoms, identify pre‐hospital symptom clusters and analyse relationship between influencing factors and symptom clusters in decompensated cirrhosis patients. Design A cross‐sectional study design using the Strengthening the Reporting of Observational Studies in Epidemiology checklist. Methods Demographical, physiological, psychological and sociological characteristics and the pre‐hospital symptoms of 292 decompensated cirrhotic patients were collected from October 2021 to March 2023 in China. Frequencies, percentages, means, standard deviations, independent samples t ‐tests, one‐way analysis of variance, exploratory factor analysis, multiple stepwise regression analysis and network analysis were used for data analysis. Results ‘I don't look like myself’ and itching were core and bridge symptoms, while bloating and lack of energy were sentinel symptoms in decompensated cirrhotic patients. Monthly family income, anxiety, depression, social support and disease duration influenced the neuropsychological symptom cluster, with worrying as the strongest predictor symptom. Influential factors for cirrhosis‐specific symptom cluster included Child‐Pugh class, monthly family income, disease duration, anxiety and depression, with itching being the strongest predictor symptom. Monthly family income, disease duration and depression were influential factors for gastrointestinal symptom cluster, with loss of appetite as the strongest predictor symptom. Conclusions Neuropsychological, cirrhosis‐specific and gastrointestinal symptom clusters were formed in decompensated cirrhotic patients. Through network analysis, direct connections between symptoms, symptom clusters and their influencing factors were revealed, thereby offering clinicians a foundation for effectively managing patients' pre‐hospital symptoms. Impact Decompensated cirrhosis patients commonly have multiple symptoms, while the management of pre‐hospital symptoms is often suboptimal. This study identified neuropsychological, cirrhosis‐specific, gastrointestinal symptom clusters and recognized core, bridge and sentinel symptoms in these patients. It also revealed the most prominent symptoms within each cluster. This provides insight into the hierarchy of symptoms, improving symptom management in decompensated cirrhosis. Patient and Public Involvement There was no patient or public involvement.
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