3 research outputs found

    Outcomes of patients with heart failure with preserved ejection fraction discharged on treatment with neurohormonal antagonists after an episode of decompensation

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    Aims: To analyze the frequency with which patients with heart failure with preserved ejection fraction (HFpEF) discharged after an acute heart failure (AHF) episode are treated with antineurohormonal drugs (ANHD), the variables related to ANHD prescription and their relationship with outcomes. Methods: We included consecutive HFpEF patients (left ventricular ejection fraction >= 50%) discharged after an AHF episode from 45 Spanish hospitals whose chronic medications and treatment at discharge were available. Patients were classified according to whether they were discharged with or without ANHD, including beta-blockers (BB), renin-angiotensin-aldosterone-system inhibitors (RAASi) and mineralcorticosteroid-receptor antagonists (MRA). Co-primary outcomes consisted of 1-year all-cause mortality and 90-day combined adverse event (revisit to emergency department -ED-, hospitalization due to AHF or all-cause death). Secondary outcomes were 90-day adverse events taken individually. Adjusted associations of ANHD treatment with outcomes were calculated. Results: We analyzed 3,305 patients with HFpEF (median age: 83, 60% women), 2,312 (70%) discharged with ANHD. The ANHD most frequently prescribed was BB (45.8%). The 1-year mortality was 26.9% (adjusted HR for ANHD patients:1.17, 95%CI=0.98-1.38) and the 90-day combined adverse event was 54.4% (HR=1.14, 95% CI=0.99-1.31). ED revisit was significantly increased by ANHD (HR=1.15, 95%CI=1.01-1.32). MRA and BB were associated with worse results in some co-primary or secondary endpoints, while RAASi (alone) reduced 90-day hospitalization (HR=0.73, 98%CI=0.56-0.96). Conclusion: 70% of HFpEF patients are discharged with ANHD after an AHF episode. ANHD do not seem to reduce mortality or adverse events in HFpEF patients, only RAASi could provide some benefits, reducing the risk of hospitalization for AHF

    Factores asociados con el empeoramiento de la función renal durante un episodio de insuficiencia cardiaca aguda y su relación con la mortalidad a corto y largo plazo. Estudio EAHFE - EFRICA

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    Objetivo. Identificar los factores asociados con el empeoramiento de la función renal (EFR) y si este se asocia a mayor mortalidad en pacientes que presentan un episodio de insuficiencia cardiaca aguda (ICA). Método: Participaron 7 servicios de urgencias (SU) que incluyeron consecutivamente pacientes con ICA con determinación de creatinina en urgencias y a las 24-48 horas, y se identificaron aquellos con EFR (incremento de creatinina $ 0,3 mg/dL). Entre 47 características clínicas, se identificó las asociadas a EFR. Se investigó la mortalidad por cualquier causa a 30 días (OR) y al final del seguimiento (HR), esta última global y por periodos trimestrales, que se ajustó por las diferencias entre grupos. Se analizaron subgrupos según edad, sexo, creatinina basal, tipo de ICA y grupo de riesgo. Resultados: Se incluyeron 1.627 pacientes, 220 (13,5%) con EFR, los cuales presentaban mayor edad, presión arterial sistólica, crisis hipertensiva como precipitante, tratamiento con morfina e insuficiencia renal crónica, aunque solo esta última se asoció independientemente a EFR (ORajustada = 1,695, IC 95% = 1,264-2,273). La mortalidad a 30 días fue de 13,1% (mayor en pacientes con EFR: 20,9% vs 11,8%, ORajustada = 1,793, IC 95% = 1,207-2,664) y la mortalidad acumulada a 18 meses (tiempo medio de seguimiento 14 meses/paciente) fue del 40,0% (mayor en pacientes con EFR: HRajustada = 1,275, IC 95% = 1,018-1,598). Este incremento de riesgo fue durante el primer trimestre. El análisis de subgrupos no mostró diferencias. Conclusión: La ICA con EFR en las primeras 48 horas posteriores a la atención en el SU se asocia a mayor mortalidad, que se concentra durante el primer trimestre

    Clinical phenotypes of acute heart failure based on signs and symptoms of perfusion and congestion at emergency department presentation and their relationship with patient management and outcomes

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    Objective To compare the clinical characteristics and outcomes of patients with acute heart failure (AHF) according to clinical profiles based on congestion and perfusion determined in the emergency department (ED). Methods and results Overall, 11 261 unselected AHF patients from 41 Spanish EDs were classified according to perfusion (normoperfusion = warm; hypoperfusion = cold) and congestion (not = dry; yes = wet). Baseline and decompensation characteristics were recorded as were the main wards to which patients were admitted. The primary outcome was 1-year all-cause mortality; secondary outcomes were need for hospitalisation during the index AHF event, in-hospital all-cause mortality, prolonged hospitalisation, 7-day post-discharge ED revisit for AHF and 30-day post-discharge rehospitalisation for AHF. A total of 8558 patients (76.0%) were warm+ wet, 1929 (17.1%) cold+ wet, 675 (6.0%) warm+ dry, and 99 (0.9%) cold+ dry; hypoperfused (cold) patients were more frequently admitted to intensive care units and geriatrics departments, and warm+ wet patients were discharged home without admission. The four phenotypes differed in most of the baseline and decompensation characteristics. The 1-year mortality was 30.8%, and compared to warm+ dry, the adjusted hazard ratios were significantly increased for cold+ wet (1.660; 95% confidence interval 1.400-1.968) and cold+ dry (1.672; 95% confidence interval 1.189-2.351). Hypoperfused (cold) phenotypes also showed higher rates of index episode hospitalisation and in-hospital mortality, while congestive (wet) phenotypes had a higher risk of prolonged hospitalisation but decreased risk of rehospitalisation. No differences were observed among phenotypes in ED revisit risk. Conclusions Bedside clinical evaluation of congestion and perfusion of AHF patients upon ED arrival and classification according to phenotypic profiles proposed by the latest European Society of Cardiology guidelines provide useful complementary information and help to rapidly predict patient outcomes shortly after ED patient arrival
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