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Published on: June 10, 2025
Effect of marital status on clinical outcome of heart failure
Taylor Watkins1, Mark Mansi, Jennifer Thompson
1Department of Medicine, Section of General Internal Medicine, San Antonio Military Medical Center, San Antonio, TX, USA.
Insights
Marital status did not significantly impact heart failure (HF) patient survival or readmission rates in a high-risk group. However, married patients showed lower average B-type natriuretic peptide levels, suggesting a potential, though not statistically significant, clinical outcome difference.
Area of Science:
- Cardiology
- Social Determinants of Health
Background:
- Heart failure (HF) remains a significant public health concern, with over a million emergency department visits annually.
- Clinical outcomes in HF are influenced by medical treatments and social factors, including marital status.
Purpose of the Study:
- To investigate the association between marital status and clinical outcomes in a high-risk population of heart failure patients.
- To determine if being married influences survival, readmission rates, or specific biomarker levels in HF patients.
Main Methods:
- Retrospective analysis of 357 heart failure patients admitted to a university hospital in Louisiana.
- Patients were categorized as married or unmarried, with follow-up data analyzed until December 2008.
- Primary outcomes included in-hospital survival and time to readmission; secondary outcomes involved HF admission rates and biomarker levels (B-type natriuretic peptide, troponin-I).
Main Results:
- Marital status did not significantly affect in-hospital survival or time to readmission for heart failure.
- Married patients exhibited significantly lower average B-type natriuretic peptide levels (P = 0.02).
- No significant association was found between marital status and HF admission rate or average troponin-I levels.
Conclusions:
- In this high-risk population, married status was not linked to improved clinical outcomes for heart failure patients regarding survival or readmission.
- The observed reduction in B-type natriuretic peptide among married patients warrants further investigation into potential underlying mechanisms.
Background:
Despite significant advances in pharmacological and nonpharmacological treatment of heart failure (HF), there are more than 1 million HF visits annually to the emergency department. Studies indicate that HF clinical outcome is affected not only by medical interventions but also by social factors such as marital status.
Objectives:
This study aimed to determine the effect of marital status of HF patients on clinical outcome of HF in a high-risk population.
Methods:
We reviewed data collected for The Joint Commission in patients admitted with HF at a university hospital serving a high-risk population in Louisiana during the period from June 2003 to September 2004 and followed up until December 2008. Patients were divided into 2 groups, namely, married patients and unmarried patients (including single, divorced, and widowed) based on self-reporting. Primary outcome measures were in-hospital survival and time to readmission. Secondary outcome measures were HF admission rate, average B-type natriuretic peptide, and average troponin-I levels throughout the follow-up period.
Results:
Of 646 reviewed records, 542, representing 357 patients, were included in the analysis. Of these, 105 patients were married and 245 were unmarried; marital status was missing for 7 patients. Mean (SD) of follow-up period was 2.39 (1.6) years. Marital status was not a significant variable for in-hospital death (hazard ratio, 0.71; 95% confidence interval, 0.35-1.49), or for time to readmission for HF (hazard ratio, 1.16; 95% confidence interval, 0.86-1.56); multiple linear regression analysis identified married status as an independent variable for average B-type natriuretic peptide (parameter estimate = -0.26, P = 0.02) but not for HF admission rate or average troponin-I levels.
Conclusions:
Married status was not associated with better clinical outcome in HF patients in a high-risk population.
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