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Reasons why patients suffering from chronic heart failure at very low risk for mortality die
- Publication Year :
- 2016
-
Abstract
- Background A proper prognostic stratification is crucial for organizing an effective clinical management and treatment decision-making in patients with chronic heart failure (CHF). In this study, we selected and characterized a sub-group of CHF patients at very low risk for death aiming to assess predictors of death in subjects with an expected probability of 1-year mortality near to 5%. Methods We used the Cardiac and Comorbid Conditions HF (3C-HF) Score to identify CHF patients with the best mid-term prognosis. We selected patients belonging to the lowest quartile of 3C-HF score (≤9 points). Results We recruited 1777 consecutive CHF patients at 3 Italian Cardiology Units (age 76±10years, 43% female, 32% with preserved ejection fraction). Subjects belonging to the lowest quartile of 3C-HF score were 609. During a median follow-up of 21 [12–40] months, 48 of these patients (8%) died, and 561 (92%) survived. The variables that contributed to death prediction by Cox regression multivariate analysis were older age (HR 1.03[CI 1.00–1.07]; p =0.04), male gender (HR 2.93[CI 1.50–5.51]; p =0.002) and a higher degree of renal dysfunction (HR 0.96[CI 0.94–0.98]; p Conclusions The prognostic stratification of CHF patients by 3C-HF score allows one to select patients at different outcome and to identify the factors associated with death in outliers with a very low mortality risk at mid-term follow-up. The reasons why these patients do not outlive the matching part of subjects who expectedly survive are related to a declined renal function and unmodifiable conditions including older age and male gender.
- Subjects :
- Male
medicine.medical_specialty
Multivariate analysis
Prognosi
Older age
Renal function
030204 cardiovascular system & hematology
Kidney Function Tests
Risk Assessment
03 medical and health sciences
0302 clinical medicine
Sex Factors
Risk Factors
Internal medicine
medicine
Humans
030212 general & internal medicine
Renal Insufficiency
Mortality
Male gender
Chronic heart failure
Prognosis
Renal dysfunction
Medicine (all)
Cardiology and Cardiovascular Medicine
Aged
Proportional Hazards Models
Aged, 80 and over
Heart Failure
Ejection fraction
Proportional hazards model
business.industry
Age Factors
Stroke Volume
medicine.disease
Surgery
Quartile
Italy
Heart failure
Chronic Disease
Very low risk
Female
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....ede6cffcfb41f31480f538925c5bd150