Precipitating factors of heart failure decompensation, short-term morbidity and mortality in patients attended in primary care.

OBJECTIVE: To evaluate the precipitating factors for heart failure decompensation in primary care and associations with short-term prognosis. Design Prospective cohort study with a 30-d follow-up from an index consultation. Regression models to determine independent factors associated with hospitalisation or death. SETTING: Primary care in ten European countries. Patients Patients with diagnosis of heart failure attended in primary care for a heart failure decompensation (increase of dyspnoea, unexplained weight gain or peripheral oedema). MAIN OUTCOME MEASURES: Potential precipitating factors for decompensation of heart failure and their association with the event of hospitalisation or mortality 30 d after a decompensation. RESULTS: Of 692 patients 54% were women, mean age 81 (standard deviation [SD] 8.9) years; mean left ventricular ejection fraction (LVEF) 55% (SD 12%). Most frequently identified heart failure precipitation factors were respiratory infections in 194 patients (28%), non-compliance of dietary recommendations in 184 (27%) and non-compliance with pharmacological treatment in 157 (23%). The two strongest precipitating factors to predict 30 d hospitalisation or death were respiratory infections (odds ratio [OR] 2.8, 95% confidence interval [CI] (2.4-3.4)) and atrial fibrillation (AF) > 110 beats/min (OR 2.2, CI 1.5-3.2). Multivariate analysis confirmed the association between the following variables and hospitalisation/death: In relation to precipitating factors: respiratory infection (OR 1.19, 95% CI 1.14-1.25) and AF with heart rate > 110 beats/min (OR 1.22, 95% CI 1.10-1.35); and regarding patient characteristics: New York Heart Association (NYHA) III or IV (OR 1.22, 95% CI 1.15-1.29); previous hospitalisation (OR 1.15, 95% CI 1.11-1.19); and LVEF < 40% (OR 1.14, 95% CI 1.09-1.19). CONCLUSIONS: In primary care, respiratory infections and rapid AF are the most important precipitating factors for hospitalisation and death within 30 d following an episode of heart failure decompensation. Key points Hospitalisation due to heart failure decompensation represents the highest share of healthcare costs for this disease. So far, no primary care studies have analysed the relationship between precipitating factors and short term prognosis of heart failure decompensation episodes. We found that in 692 patients with heart failure decompensation in primary care, the respiratory infection and rapid atrial fibrillation (AF) increased the risk of short-term hospital admission or death. Patients with a hospital admission the previous year and a decompensation episode caused by respiratory infection were even more likely to be hospitalized or die within 30 d.

How are patients with heart failure treated in primary care?
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OBJECTIVE: The aim of this study was to assess the adherence of general practitioners (GPs) to guidelines in patients with heart failure with reduced ejection fraction (HFrEF) and to describe GPs' prescribing behavior regarding patients with heart failure with preserved ejection fraction (HFpEF). MATERIALS AND METHODS: Cross-sectional study as part of the ETIC trial. Five classes of drugs were described: angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs); ß-blockers (BBs); mineralocorticoid receptor antagonists (MRAs); diuretics (thiazide or loop diuretics); and digoxin. RESULTS: 178 patients were studied: their mean age was 73.5 years (± 10.6). Of the 128 patients with HFpEF, 81.3% received ACEIs or ARBs, 63.3% received BBs, 13.3% received MRAs, 75.8% received diuretics, and 12.5% received digoxin. Of the 50 patients with HFrEF, 84% received ACEIs or ARBs, 74% received BBs, 20% received MRAs, 76% received diuretics, and 2% received digoxin. 25% of the patients were given a drug in accordance with the recommendations for drug class but not a drug authorized for the HFrEF indication. Among the patients with HFrEF who were treated in accordance with the recommendations, target doses were achieved in 1/3 given ACEIs/ARBs, 1/4 given BBs, and 1/2 given MRAs. Only 6% of the patients had a perfect Global Adherence Indicator-3 (GAI-3) with all target doses achieved. CONCLUSION: Several drugs were prescribed even though they were not recommended, and few patients were treated optimally. It seems to be necessary to develop a pragmatic tool to help GPs and cardiologists in optimizing treatment.
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