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Published on: June 10, 2025
Prognosis and Risk Stratification of Patients with Advanced Heart Failure Followed-Up on an Outpatient Clinic
Eftychia Papaioannou1, Stefania Chatzipanteliadou1, Aidonis Rammos1
1Second Department of Cardiology, Faculty of Medicine, School of Health Sciences, University Hospital of Ioannina, University of Ioannina, 45110 Ioannina, Greece.
Insights
Advanced heart failure (AdvHF) patients face high mortality. New models incorporating factors like blood pressure and coronary artery disease (CAD) show improved prediction accuracy for 12- and 30-month survival.
Area of Science:
- Cardiology
- Heart Failure Research
Background:
- Advanced heart failure (AdvHF) is defined by impaired function, frequent hospitalizations, and high mortality.
- Patients with AdvHF require specialized management and accurate prognostic tools.
Purpose of the Study:
- To evaluate management strategies and prognostic scores in AdvHF patients.
- To identify factors associated with mortality and develop improved predictive models.
Main Methods:
- Ninety-five AdvHF patients were followed for 30 months, with management categorized into levosimendan, furosemide, or outpatient care.
- Prognostic scores (MAGGIC, SHFM, BCN-Bio) and mortality were assessed.
- Logistic regression models were developed using clinical factors.
Main Results:
- 12-month and 30-month mortality rates were 19% and 49%, respectively.
- Existing prognostic scores showed limited accuracy (AUC < 0.756).
- Factors associated with mortality included decreasing blood pressure, left ventricle ejection fraction, presence of coronary artery disease (CAD), and use of renin-angiotensin-aldosterone system blockers. Improved models achieved AUCs of 0.824 and 0.817 for 12- and 30-month mortality.
Conclusions:
- AdvHF patients are complex, necessitating close monitoring and innovative survival strategies.
- Current prognostic scores require refinement for this population.
- Developed logistic regression models offer enhanced accuracy for predicting AdvHF patient outcomes.
Abstract:
Background/Objectives: Advanced heart failure (AdvHF) characterizes patients with impaired functional capacity, severe systolic or diastolic cardiac function, unplanned visits or hospitalizations, raised natriuretic peptides, and increased mortality. Methods: Ninety-five consecutive AdvHF patients followed in a tertiary academic center in Northwestern Greece (2nd Department of Cardiology, University Hospital of Ioannina) were enrolled over a 30-month period. Three distinctive patterns of management were recognized and assessed: intermittent levosimendan administration to 33 patients, intermittent intravenous furosemide administration to 17 patients, and 45 patients were followed up exclusively on an outpatient basis with frequent visits. MAGGIC, SHFM, and BCN-Bio scores were assessed in all patients and mortality was also assessed. Results: Mean age was 73 (±10) years, and 38% were females, 41% had diabetes mellitus, 41% had chronic obstructive pulmonary disease, 59% had coronary artery disease (CAD), 73% had a history of atrial fibrillation, and 82.1% had a cardiac device implanted. The median duration of follow-up was 24 months (IQ range 14, 30). The 12-month and 30-month mortality rates were 19% and 49%, respectively. Higher rates of 1-year mortality were observed in the levosimendan group (30%). The median 12-month mortality of the three scores was comparable to the actual mortality, but their prognostic value was not satisfactory (AUC < 0.540 and p > 0.05 for all), while they performed better for 30-month mortality (AUC < 0.756 and p > 0.05 for all). In the current study, mortality at 12 months was associated with decreasing diastolic blood pressure (DBP) and sodium levels; the presence of CAD (p < 0.05 for all) and mortality at 30 months was associated with decreasing systolic blood pressure, as well as DBP and left ventricle ejection fraction, but also with the presence of CAD and the use of renin-angiotensin-aldosterone system blockers. Logistic regression-based models incorporating these factors have a greater diagnostic accuracy (AUC = 0.824 and 0.817 for 12 and 30 months, respectively; p < 0.001 for both). Conclusions: AdvHF patients represent a complex population requiring close follow-up and novel strategies to improve survival. Larger studies are needed to refine and update predictive scores in this population.
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