1. Exploring symptom clusters in Chinese patients with peritoneal dialysis: a network analysis
- Author
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Di-fei Duan, Xue-li Zhou, Yu Yan, Yuan-mei Li, Yan-hua Hu, Qin Li, Xiang Peng, Qin Gu, Xiao-ying Li, Hui Feng, Ai-jiao Tang, Pan Liu, Hui-hui Xu, Ruo-xi Liao, and Deng-yan Ma
- Subjects
Peritoneal dialysis ,network analysis ,symptom cluster ,symptom management ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Background In recent years, the research on symptom management in peritoneal dialysis (PD) patients has shifted from a single symptom to symptom clusters and network analysis. This study collected and evaluated unpleasant symptoms in PD patients and explored groups of symptoms that may affect PD patients with a view to higher symptom management.Methods The symptoms of PD patients were measured using the modified Dialysis Symptom Index. The symptom network and node characteristics were assessed by network analysis, and symptom clusters were explored by factor analysis.Results In this study of 602 PD patients (mean age 47.8 ± 16.8 years, 47.34% male), most had less than 2 years of dialysis experience. Five symptom clusters were obtained from factor analysis, which were body symptom cluster, gastrointestinal symptom cluster, mood symptom cluster, sexual disorder symptom cluster, and skin-sleep symptom cluster. Itching and decreased interest in sex may be sentinel symptoms, and being tired or lack of energy and feeling anxious are core symptoms in PD patients.Conclusions This study emphasizes the importance of recognizing symptom clusters in PD patients for better symptom management. Five clusters were identified, with key symptoms including itching, decreased interest in sex, fatigue, and anxiety. Early intervention focused on these symptom clusters in PD patients holds promise for alleviating the burden of symptoms.
- Published
- 2024
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