Correlation Analysis Between Sleep Quality and Cardiac Function Indicators in Patients with Chronic Heart Failure

Objective: To assess the sleep quality of patients with chronic heart failure, elucidate the bidirectional relationship between heart failure and sleep quality, investigate the factors influencing sleep quality in CHF patients, and provide a scientific basis for the development of targeted intervention measures. Methods: From October 2024 to February 2025, 112 chronic heart failure patients admitted to the Fourth Affiliated Hospital of Anhui Medical University were studied. We used the PSQI to assess sleep quality and collected clinical indicators like NT-proBNP, N, L, PLT, LVEF, NYHA class, and socio-demographic data. Analysis was conducted using SPSS and Python for regression, correlation, and feature importance. Results: The study found that CHF patients had significantly higher total PSQI scores compared to domestic norms (P<0.05), with differences across all subdomains. After adjusting for confounders through multiple linear regression, NT-proBNP levels and NYHA classification were significantly positively correlated with PSQI scores (P<0.05). Diuretic therapy was identified as a potential confounder. In diuretic-treated patients, disease duration, NYHA classification, and NT-proBNP were significant predictors of total PSQI scores (P<0.05). NT-proBNP had the highest feature importance in predictive performance, and inflammatory markers like PLR and NLR also showed significant importance. Conclusion: Sleep disorders are prevalent among patients with chronic heart failure, and decreased sleep quality may further exacerbate the severity of heart failure. Sleep management may represent an important intervention direction for improving the prognosis of patients with heart failure.