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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
A Four-Phenotype Model for Risk Stratification in Heart Failure with Preserved and Mildly Reduced Ejection Fraction:
Flavia-Mihaela Stoiculescu1,2, Diana-Ruxandra Hădăreanu2,3, Călin-Dinu Hădăreanu1,4
1Doctoral School, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Insights
Sex and diabetes significantly impact heart failure with mildly reduced and preserved ejection fraction (HFmrEF/HFpEF) risk. Diabetic men face the highest risk of rehospitalization, while women without diabetes have the best prognosis.
Area of Science:
- Cardiology
- Heart Failure Research
- Clinical Risk Stratification
Background:
- Sex and diabetes are key risk factors in heart failure with mildly reduced and preserved ejection fraction (HFmrEF/HFpEF).
- The combined impact of sex and diabetes on HFmrEF/HFpEF outcomes remains under-evaluated.
- Understanding these interactions is crucial for personalized patient management.
Purpose of the Study:
- To investigate the influence of sex-diabetes phenotypes on clinical characteristics.
- To assess the risk of heart failure rehospitalization based on these phenotypes.
- To identify distinct risk profiles within the HFmrEF/HFpEF population.
Main Methods:
- Retrospective analysis of 1018 HFmrEF/HFpEF patients (2019-2023).
- Classification into four sex-diabetes phenotypes for group comparison.
- Primary endpoint: heart failure rehospitalization, analyzed using univariate and adjusted models.
Main Results:
- Phenotypes differed in age, renal function, cardiac structure, glycemia, and comorbidities.
- Diabetic men exhibited greater structural remodeling and higher comorbidity burden.
- Male sex and diabetes were independent predictors of rehospitalization (HR 1.28 for both).
- Event-free survival showed a gradient: women without diabetes (best) to diabetic men (worst).
Conclusions:
- Sex and diabetes interact to create unique risk profiles in HFmrEF/HFpEF.
- Women without diabetes represent a low-risk group.
- Diabetic men are at the highest risk for recurrent heart failure decompensation.
- Sex-diabetes phenotyping can enhance risk stratification and personalize HFmrEF/HFpEF management.
Abstract:
Background/Objectives: Sex and diabetes are important determinants of risk in heart failure with mildly reduced and preserved ejection fraction (HFmrEF/HFpEF), yet their combined effects have not been systematically evaluated. This study examined how sex-diabetes phenotypes influence clinical characteristics and the risk of heart failure rehospitalization. Methods: We retrospectively analyzed 1018 HFmrEF/HFpEF patients (2019-2023), classified into four sex-diabetes phenotypes, and performed group comparisons. The primary endpoint was heart failure rehospitalization. Results: Over a mean follow-up of 1463 ± 496 days, 307 patients (30.1%) were rehospitalized for heart failure decompensation. The four phenotypes differed significantly in age, renal function, LV mass, LV dimensions, glycemia, and comorbidity burden (all p < 0.05). Men-particularly those with diabetes-had greater structural remodeling and higher prevalence of smoking, hypercholesterolemia, and atrial fibrillation. In univariate analysis, male sex, diabetes, smoking, NYHA class, lower TAPSE, and lower LVEF were associated with increased risk of rehospitalization. After adjustment for LVEF and NYHA class, male sex (HR 1.28; p = 0.035) and diabetes (HR 1.28; p = 0.036) remained independent predictors. Kaplan-Meier curves demonstrated a clear gradient in event-free survival (log-rank p = 0.015), with women without diabetes showing the best prognosis and diabetic men the worst. Conclusions: Sex and diabetes interact to define distinct risk profiles in HFmrEF/HFpEF. Women without diabetes represent a low-risk phenotype, whereas diabetic men exhibit the highest risk of recurrent heart failure decompensation. These findings support incorporating sex-diabetes phenotyping into routine risk stratification and personalized management.
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