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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.
Asunto(s)
Fatiga , Diálisis Peritoneal , Humanos , Masculino , Femenino , Diálisis Peritoneal/efectos adversos , Persona de Mediana Edad , Adulto , China/epidemiología , Fatiga/etiología , Ansiedad/etiología , Fallo Renal Crónico/terapia , Fallo Renal Crónico/complicaciones , Prurito/etiología , Anciano , Evaluación de Síntomas , Análisis Factorial , Estudios Transversales , Pueblos del Este de AsiaRESUMEN
Background: Given the importance of diabetic kidney disease (DKD) management, this study aims to explore the knowledge, attitudes, and practices in disease management demonstrated by healthcare workers from the nephrology department. Materials and Methods: This study is a multi-centered cross-sectional study, and adopts snowball sampling, with 530 healthcare workers being recruited to complete a questionnaire covering areas such as demographic characteristics, knowledge, attitude, and practices (KAP) of DKD management. This data was analyzed using descriptive statistics and binary logistics analysis. Results: In this study, 530 healthcare workers were studied, including 94 doctors and 436 nurses. The participants were mainly from general tertiary hospitals in 14 provinces. For Chinese nurse, the results indicate that both poor knowledge level (Odds Ratio (OR) =0.63, 95% Confidence Interval (CI): 0.42-0.94) and having experience in further medical training in nephrology (OR=1.92, 95% CI: 1.20-3.08) are associated with the practice levels. For Chinese doctors, having not experience in further medical training in nephrology (OR=0.36, 95% CI: 0.15-0.83) are associated with their practice levels. Conclusion: In summary, Chinese doctors and nurses in this study showed positive attitudes towards DKD management, but their knowledge and practical skills were lacking. This underscores a notable gap in achieving optimal DKD care. Notably, nurses' knowledge influenced their management practices, and additional nephrology training correlated with better engagement. To improve patient care, enhancing nephrology healthcare professional training and addressing knowledge-practice disparities are recommended.
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Purpose: The research on symptom management in patients with diabetic kidney disease (DKD) has shifted from separate symptoms to symptom clusters and networks recently. This study aimed to evaluate the unpleasant symptoms of DKD patients, and to investigate how these symptom clusters could affect patients. Methods: 408 DKD patients were recruited in this cross-sectional study. The symptoms of DKD patients were measured using the modified Dialysis Symptom Index. Network analysis was employed to evaluate the symptom network and the characteristics of individual nodes, while factor analysis was utilized to identify symptom clusters. Results: Blurred vision was the most prevalent symptom among DKD patients. The symptoms identified as the most distressing, severe, and frequent were light headache or dizziness, arteriovenous fistula/catheterization pain, and diarrhea, respectively. Five symptom clusters were obtained from factor analysis, and the most central symptom cluster in the entire symptom network was sexual dysfunction. Conclusion: This study identified five symptom clusters in Chinese DKD patients, with sexual dysfunction emerging as the most central cluster. These findings carry significant clinical implications, underscoring the necessity of assessing symptom clusters and their associations to enhance symptom management in DKD patients. Further research is essential to elucidate the underlying mechanisms of symptoms and to clarify the associations among symptoms in DKD patients across different disease trajectories or treatment modalities.