Prognostic factors and nutritional support in menopausal women with chronic heart failure.

Background and objectives: Menopausal women with chronic heart failure (CHF) exhibit unique physiolog-ical characteristics and prognostic features. The aim of this study is to analyze the significant predictive factors for the prognosis of chronic heart failure in menopausal women and the impact of different nutritional interventions on prognosis.

Methods and study design: A total of 270 menopausal women with CHF were enrolled in the study and divided into two groups based on the nutritional intervention received. Analyze the significant predictive factors of all-cause mortality, readmission rate, deterioration of cardiac function, deterioration of nutritional status, and deterioration of quality of life, as well as the impact of nutritional interven-tion on these prognoses. Build a risk score model based on significant factors in the prognostic model. Evaluate the predictive ability of the model through the ROC curve.

Results: Multivariate logistic regression analysis showed that NYHA grading BNP, eGFR, The level of estradiol (E2) and nutritional intervention are signif-icant influencing factors in multiple prognostic indicators, among which the enhanced nutritional support and micronutrient supplementation program in nutritional intervention have a significant protective effect on poor prognosis. The constructed nutritional risk model has good discriminative ability and robustness in predicting prognosis.

Conclusions: This study identified menopausal characteristics, NYHA classification, BNP, eGFR, and estradiol levels as important prognostic predictors in menopausal women with CHF. Enhanced nutritional support and micronutrient supplementation significantly improved patient prognosis. The risk model based on nutritional intervention provides scientific basis for the management strategy of chronic heart failure in menopausal women.