SGA-determined nutritional status predicts cardiac index and protein-energy wasting in peritoneal dialysis patients with end-stage renal disease.

OBJECTIVE: To investigate the relationships between Subjective Global Assessment (SGA)-determined nutritional status and cardiac index (CI), protein-energy wasting (PEW), prognostic factors, and clinical parameters in peritoneal dialysis patients with end-stage renal disease (ESRD). METHODS: A total of 80 ESRD patients treated between December 2019 and December 2021 were categorized into well-nourished (n = 36) and malnourished (n = 44) groups based on SGA scoring. Nutritional status, CI, and PEW were assessed. Clinical parameters and prognostic factors, including C-reactive protein (CRP), fetuin-A, and interleukin-6 (IL-6), were measured. Multivariate logistic regression and Spearman's correlation analyses were employed to identify independent influencing factors and assess variable relationships. RESULTS: Significant intergroup differences (p < 0.05) were observed for PEW prevalence, CI, CRP, fetuin-A, IL-6, serum creatinine, and albumin levels. Binary logistic regression identified PEW status, CI, fetuin-A, IL-6, serum creatinine, and albumin levels as independent factors associated with malnutrition. Spearman's correlation analysis revealed strong positive correlations between SGA scores and PEW prevalence, CI, fetuin-A, IL-6, serum creatinine, and albumin (all p < 0.001). The combined prognostic model demonstrated excellent discriminatory power, with an area under the curve (AUC) of 0.960 (p < 0.05). CONCLUSION: SGA-determined nutritional status significantly influences CI, PEW development, and key clinical biomarkers in ESRD patients. Systematic assessment of these parameters provides valuable prognostic stratification and can guide therapeutic interventions for malnutrition management in this population.