Influencia de la fibrilación auricular en la mortalidad de los pacientes con insuficiencia cardiaca con fracción de eyección preservada

Morbidity and mortality in elderly patients with heart failure managed with a comprehensive care model vs. usual care: The UMIPIC program

BACKGROUND

Elderly patients with heart failure (HF) have a high degree of comorbidity which leads to fragmented care, with frequent hospitalizations and high mortality. This study evaluated the benefit of a comprehensive continuous care model (UMIPIC program) in elderly HF patients.

METHODS AND RESULTS

We prospectively analyzed data from the RICA registry on 2862 patients with HF treated in internal medicine departments. They were divided into two groups: one monitored in the UMIPIC program (UMIPIC group, n: 809) and another which received conventional care (RICA group, n: 2.053). We evaluated HF readmissions during 12 months of follow-up and total mortality after episodes of HF hospitalization. UMIPIC patients were older with higher rates of comorbidity and preserved ejection fraction than the RICA group. However, the UMIPIC group had a lower rate of HF readmissions (17% vs. 26%, p < .001) and mortality (16% vs. 27%, respectively; p < .001). In addition, we selected 370 propensity score-matched patients from each group and the differences in HF readmissions (15% UMIPIC vs. 30% RICA; hazard ratio [HR] = 0.44; 95% confidence interval [CI] 0.32-0.60; p < .001) and mortality (17% UMIPIC vs. 28% RICA; hazard ratio = 0.58; 95% CI 0.42-0.79; p = .001) were maintained.

CONCLUSIONS

The implementation of the UMIPIC program, based on comprehensive continuous care of elderly patients with HF and high comorbidity, markedly reduce HF readmissions and total mortality.

Biomedical, Socioeconomic and Demographic Predictors of Heart Failure Readmissions: A Systematic Review

AIMS

To identify the biomedical, socioeconomic and demographic predictors of heart failure (HF) related readmissions in adult patients with HF.

METHODS

This systematic review was conducted in March 2020 using the databases EMBASE, CINAHL and Medline to identify publications between 2015-2020. The resulting articles were systematically reviewed according to the PRISMA guidelines.

RESULTS

Eighteen (18) studies were included in this review. Unemployment (HR=1.09; 95%CI=1.05-1.14; p=0.03) was the only socioeconomic factor predictive of HF-readmissions. Socio-Economic Indexes for Areas (SEIFA) scores did not predict HF readmissions in adults with HF (p>0.05). All patients included in the studies had pre-existing HF. Based on the included studies, Indigenous status was identified as a risk factor for HF readmissions in 1 study (p<0.05), and age or sex did not affect HF readmission patterns (p>0.05). New York Heart Association (NYHA) class, brain natriuretic peptide (BNP) levels, and heart rate were also predictive of HF readmission (p<0.05). Left ventricular ejection fraction and blood pressure, however, were non-significant risk factors of HF readmissions (p>0.05).

CONCLUSIONS

This review identified unemployment, Indigenous status, NYHA class, heart rate, and BNP levels to predict HF related readmissions in adult patients with HF. Adding demographic and socioeconomic variables to readmission risk models has the potential to more accurately target patients at risk of readmissions.

Meta-Analysis of Atrial Fibrillation and Outcomes in Patients With Heart Failure and Preserved Ejection Fraction

BACKGROUND

Atrial fibrillation (AF) is common in heart failure with preserved ejection fraction (HFpEF); However, the prognostic impact of AF on HFpEF patients has not been fully elucidated.

METHODS

A literature search of the PubMed and EMBASE databases on literature published through April 2019 was undertaken. Combined hazard ratio (HR) estimates and 95% confidence intervals (CIs) were calculated using fixed-effects or random-effects models, depending on the heterogeneity. Subgroup analyses, sensitivity analysis and meta-regression analyses were also performed.

RESULTS

Fourteen (14) eligible studies with 1,948,923 patients with HFpEF were included in the analysis. Atrial fibrillation was associated with an 11% increased risk of all-cause mortality in patients with HFpEF (HR 1.11, 95% CI 1.09-1.12). Sensitivity analysis confirmed the stability of the results. The stratification of studies by controlled or uncontrolled confounding factors affected the final estimate (confounder-controlled HR 1.21, 95% CI 1.12-1.30; confounder-uncontrolled HR 1.13, 95% CI 0.96-1.31). In addition, AF was an independent predictor of hospitalisation for heart failure (HR 1.32, 95% CI 1.15-1.52), cardiovascular death (HR 1.38, 95% CI 1.01-1.89) and stroke (HR 1.87, 95% CI 1.54-2.27).

CONCLUSIONS

Atrial fibrillation was associated with worse clinical outcomes in patients with HFpEF. Further investigation is required to see whether AF is the primary offender in these patients or merely a bystander to worse diastolic function.

Differential characteristics of acute heart failure in very elderly patients: the prospective RICA study

INTRODUCTION

Acute heart failure (AHF) is a frequent epidemic in geriatrics. The main aim of this study was to evaluate the clinical and prognostic differences of very elderly patients with AHF compared to the rest, and evaluate the factors associated with 90-day mortality.

METHODS

We analyzed 3828 patients hospitalized for AHF with an age of ≥ 70 years. The population was divided into three groups: 70-79, 80-89 and ≥ 90 years old (nonagenarians). The baseline characteristics of patients nonagenarians were compared with the rest. In the group of nonagenarians, their clinical characteristics were analyzed according to the left ventricular ejection fraction (LVEF) and the factors associated with mortality at 90 days of follow-up.

RESULTS

Nonagenarians showed higher comorbidity and cognitive deterioration, worse basal functional status, and preserved LVEF. Alternatively, they presented a lower rate of diabetes mellitus, lower incidence of de novo AHF, and lower prescription of angiotensin-converting-enzyme inhibitors, aldosterone blockers, anticoagulants, and statins at hospital discharge. Of the total, 334 patients (9.3%) had died by 90 days. The 90-day mortality rate was highest in nonagenarians (7.1% vs 9.8% vs 17%; p = 0.001). Multivariate analysis showed that renal failure, New York Heart Association (NYHA) functional classifications of III-IV, and a more advanced functional deterioration at baseline are predictors of mortality within 90 days.

CONCLUSIONS

The AHF in patients nonagenarians has a different clinical profile compared to younger patients and a higher mortality. In this subgroup of patients having a worse baseline functional status, higher NYHA classification (III-IV), and renal failure are predictors of 90-day mortality.