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Multimorbidity in Incident Heart Failure: Characterisation and Impact on 1-Year Outcomes
Anyuli Gracia Gutiérrez1,2, Aida Moreno-Juste3,4,5, Clara Laguna-Berna3
1Internal Medicine Service, Defense General Hospital, Vía Ibérica 1, ES-50009 Zaragoza, Spain.
Insights
Mental health comorbidities significantly impact heart failure (HF) patients, increasing mortality and hospitalizations. A comprehensive approach to managing all patient conditions is crucial for better HF outcomes.
Area of Science:
- Cardiology
- Geriatrics
- Public Health
Background:
- Heart failure (HF) frequently co-occurs with multiple comorbidities, significantly affecting patient well-being and healthcare resource utilization.
- Understanding the interplay between HF and various comorbidities is essential for effective patient management and system-level planning.
Purpose of the Study:
- To analyze the demographic and clinical profiles of patients newly diagnosed with heart failure.
- To investigate the impact of different comorbidity clusters on one-year health outcomes in incident heart failure patients.
Main Methods:
- Retrospective, population-based observational study using the EpiChron Cohort in Spain (2014-2018).
- Inclusion of all primary and hospital care patients diagnosed with HF.
- Chronic diseases were categorized into cardiovascular, mental, and other physical clusters for analysis using Cox regression models and survival curves.
Main Results:
- 13,062 incident HF patients identified (mean age 82.0 years, 54.8% women, 93.7% multimorbid).
- One-year follow-up revealed 25.3% mortality and 35.4% all-cause hospitalizations.
- Mental comorbidity cluster independently associated with increased risk of death (HR 1.08) and all-cause hospitalization (HR 1.09) after adjustment.
Conclusions:
- Contrary to common assumptions, cardiovascular comorbidities are not the strongest predictors of adverse outcomes in HF patients.
- Mental health comorbidities present a significant risk factor for poor health outcomes in heart failure.
- A holistic, integrated approach considering the full spectrum of comorbidities is vital for optimizing heart failure management.
Abstract:
Background/Objectives: Heart failure (HF) is usually accompanied by other comorbidities, which, altogether, have a major impact on patients and healthcare systems. Our aim was to analyse the demographic and clinical characteristics of incident HF patients and the effect of comorbidities on one-year health outcomes. Methods: This was an observational, retrospective, population-based study of incident HF patients between 2014 and 2018 in the EpiChron Cohort, Spain. The included population contained all primary and hospital care patients with a diagnosis of HF. All chronic diseases in their electronic health records were pooled into three comorbidity clusters (cardiovascular, mental, other physical). These comorbidity groups and the health outcomes were analysed until 31 December 2018. A descriptive analysis was performed. Cox regression models and survival curves were calculated to determine the hazard risk (HR) of all-cause mortality, all-cause and HF-related hospital admissions, hospital readmissions, and emergency room visits for each comorbidity group. Results: In total, 13,062 incident HF patients were identified (mean age = 82.0 years; 54.8% women; 93.7% multimorbid; mean of 4.52 ± 2.06 chronic diseases). After one-year follow-up, there were 3316 deaths (25.3%) and 4630 all-cause hospitalisations (35.4%). After adjusting by gender, age, and inpatient/outpatient status, the mental cluster was associated (HR; 95% confidence interval) with a higher HR of death (1.08; 1.01-1.16) and all-cause hospitalisation (1.09; 1.02-1.16). Conclusions: Cardiovascular comorbidities are the most common and studied ones in HF patients; however, they are not the most strongly associated with negative impacts on health outcomes in these patients. Our findings suggest the importance of a holistic and integral approach in the care of HF patients and the need to take into account the entire spectrum of comorbidities for improving HF management in clinical practice.
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