Mortality Risk Prediction Dynamics After Heart Failure Treatment Optimization: Repeat Risk Assessment Using Online Risk Calculators.

Objectives: Heart failure (HF) management has significantly improved over the past two decades, leading to better survival. This study aimed to assess changes in predicted mortality risk after 12 months of management in a multidisciplinary HF clinic. Materials and Methods: Out of 1,032 consecutive HF outpatients admitted from March-2012 to November-2018, 357 completed the 12-months follow-up and had N-terminal pro-B-type natriuretic peptide (NTproBNP), high sensitivity troponin T (hs-TnT), and interleukin-1 receptor-like-1 (known as ST2) measurements available both at baseline and follow-up. Three contemporary risk scores were used: MAGGIC-HF, Seattle HF Model (SHFM), and the Barcelona Bio-HF (BCN Bio-HF) calculator, which incorporates the three above mentioned biomarkers. The predicted risk of all-cause death at 1 and 3 years was calculated at baseline and re-evaluated after 12 months. Results: A significant decline in predicted 1-and 3-year mortality risk was observed at 12 months: MAGGIC ~16%, SHFM ~22% and BCN Bio-HF ~15%. In the HF with reduced ejection fraction (HFrEF) subgroup guideline-directed medical therapy led to a complete normalization of left ventricular ejection fraction (≥50%) in almost a third of the patients and to a partial normalization (41-49%) in 30% of them. Repeated risk assessment after 12 months with SHFM and BCN Bio-HF provided adequate discrimination for all-cause 3-year mortality (C-Index: MAGGIC-HF 0.762, SHFM 0.781 and BCN Bio-HF 0.791). Conclusion: Mortality risk declines in patients with HF managed for 12 months in a multidisciplinary HF clinic. Repeating the mortality risk assessment after optimizing the HF treatment is recommended, particularly in the HFrEF subgroup.

Mini Nutritional Assessment Short Form is a morbi-mortality predictor in outpatients with heart failure and mid-range left ventricular ejection fraction.

BACKGROUND & AIMS: Nutritional status is an important prognostic factor in patients with heart failure (HF). In a pilot study we previously observed that the Mini Nutritional Assessment Short Form tool (MNA-SF) was the best approach for the screening of nutritional status in HF outpatients over other screening tools. The current study aimed to determine whether the MNA-SF has prognostic value in outpatients with HF and whether the impact of malnutrition differs depending on left ventricular ejection fraction (LVEF). METHODS: Prospective study performed in outpatients attending a HF clinic at a university hospital. All subjects completed the MNA-SF at study entry. The primary endpoint was all-cause mortality. Secondary end-points were the number of recurrent HF-related hospitalizations and the composite end-point of all-cause death or HF-related hospitalizations. Patients with malnutrition and at risk of malnutrition were merged and considered as having abnormal nutritional status for statistical analysis. RESULTS: From October 2016 to November 2017, 555 patients were included (age 69 ± 11.5 years, 71% male, LVEF 44.6 ± 13.2). Abnormal nutritional status was identified in 103 (18.6%) subjects. HF patients with preserved LVEF had a higher proportion of abnormal nutritional status (23%) than patients with HF and mid-range LVEF (HFmrEF) (16.4%) or those with HF with reduced LVEF (HFrEF) (15.9%.). During a mean follow-up of 23.8 ± 6.6 months, 99 patients died (17.8%), 74 were hospitalized due to HF (13.3%) and the composite end-point was observed in 181 (32.6%). In the univariate analysis, abnormal nutritional status was significantly associated with all-cause mortality (p = 0.02) and the composite end-point (p = 0.02) in the total cohort. However, in the multivariate analysis including age, sex, NYHA functional class, BMI, ischemic aetiology, diabetes, hypertension and HF duration, abnormal nutritional status remained significantly associated with all-cause mortality (HR 3.32 [95%CI 1.47-7.52], p = 0.004), and the composite end-point (HR 2.53 [95%CI 1.30-4.94], p = 0.006) only in HFmrEF patients. Patients with abnormal nutritional status suffered double the crude number of recurrent HF-related hospitalizations (16.4 vs. 8.4 per 100 patients-years, p < 0.001). CONCLUSIONS: The implementation of MNA-SF as a routine screening tool allowed the detection of abnormal nutritional status in almost one out of five ambulatory HF patients. Nutritional status assessed by the MNA-SF was an independent predictor of all-cause death and the composite end-point of all-cause death or HF-related hospitalization in outpatients with HFmrEF. Furthermore, abnormal nutritional status was significantly related to recurrent hospitalizations across the HF spectrum.

Mini nutritional assessment is a better predictor of mortality than subjective global assessment in heart failure out-patients.

BACKGROUND & AIMS: There is no consensus on the best method for nutritional screening and assessment in patients with heart failure (HF). This study aimed to determine which nutritional assessment method had the highest prognostic significance for patients with HF treated in outpatient clinics. We also aimed to identify a fast, reliable screening method for detecting malnutrition in these patients. METHODS: This prospective study included 151 subjects that attended an outpatient HF clinic at a university hospital. All patients completed three nutritional screening tools: the Malnutrition Universal Screening Tool (MUST), the MNA-short form (MNA-SF), and the Malnutrition Screening Tool (MST), and then, two nutritional assessment questionnaires: the Subjective Global Assessment (SGA) and the Mini Nutritional Assessment®(MNA). Patients were followed-up for 2 years. The primary endpoint was all-cause mortality. RESULTS: Malnutrition or nutritional risk was identified in 15.9% of patients with the SGA and in 25.1% of patients with the MNA. Age, New York Heart Association (NYHA) functional class, and MNA were the only independent all-cause death predictors after adjusting for age, gender, NYHA functional class, body mass index, Barthel index, 25-hydroxyvitamin D concentrations, treatment with angiotensin converting enzyme inhibitors or angiotensin II receptor blockers, and treatment with beta-blockers. The SGA could not independently predict all-cause mortality in a multivariate analysis that included the same covariates. The MNA-SF had the best sensitivity, specificity, and kappa coefficient for screening malnutrition, based on the MNA and the SGA as references, compared to the other screening methods. CONCLUSIONS: In our cohort, malnutrition assessed by MNA, but not by SGA, was an independent predictor of mortality. MNA-SF showed remarkable sensitivity and specificity; thus, it might be a valuable tool for rapidly identifying malnutrition risk in outpatients with HF.

Heart failure labelled patients with missing ejection fraction in primary care: prognosis and determinants.

BACKGROUND: It is common to find a high variability in the accuracy of heart failure (HF) diagnosis in electronic primary care medical records (EMR). Our aims were to ascertain (i) whether the prognosis of HF labelled patients whose ejection fraction (EF) was missing in their EMR differed from those that had it registered, and (ii) the causes contributing to the differences in the availability of EF in EMR. METHODS: Retrospective cohort analyses based on clinical records of HF and attended at 52 primary healthcare centres of Barcelona (Spain). Information of 8376 HF patients aged > 40 years followed during five years was analyzed. RESULTS: EF was available only in 8.5% of primary care medical records. Cumulate incidence for mortality and hospitalization from 1st January 2009 to 31th December 2012 was 37.6%. The highest rate was found in patients with missing EF (HR 1.84, 95% CI 1.68 -1.95) compared to those with preserved EF. Patients hospitalized the previous year and those requiring home healthcare (HR 1.81, 95% Confidence Interval 1.68-1.95 and HR 1.58, 95% CI 1.46-1.71, respectively) presented a higher risk of having an adverse outcome. Older patients, those more socio-economically disadvantaged, obese, requiring home healthcare, and taking loop diuretics were less likely to have an EF registered. CONCLUSIONS: EF is poorly recorded in primary care. HF patients with EF missing at medical records had the worst prognosis. They tended to be older, socio-economically disadvantaged, and more fragile.

The real-life value of ST2 monitoring during heart failure decompensation: impact on long-term readmission and mortality.

CONTEXT: Prognostic value of ST2 levels and dynamics has not been investigated in acute heart failure (AHF) using prospective real-life measurements. OBJECTIVE: The objective of this study is to investigate the prognostic value of ST2 in AHF. METHODS: ST2 levels were determined at admission (n = 182) and discharge (n = 85). Primary endpoint was the composite of all-cause death and HF rehospitalisation at one year. RESULTS: Discharge ST2 (HR 2.42 [95% CI 1.46-4], p = 0.001) and ΔST2 (HR 2.32 [95% CI 1.21-4.57], p = 0.01) but not admission ST2, remained independently prognostic for the primary endpoint after comprehensive multivariable adjustment. ST2 significantly improved prognosis stratification on top of clinical variables and NTproBNP. CONCLUSIONS: Routine clinical use of discharge ST2 and ST2 dynamics provide independent prognostic information.

Impact of the sustained control of cardiovascular risk factors on first episode heart failure: The relevant role of primary care.

BACKGROUND: The role of cardiovascular risk factor control in the development of heart failure (HF) has not yet been clearly established. OBJECTIVE: To determine the effect of cardiovascular risk factor control on the occurrence of a first episode of hospital admission for HF. METHODS: A case-control study using propensity score-matching was carried out to analyse the occurrence of first hospital admission for HF taking into account the degree of cardiovascular risk factor control over the previous 24 months. All patients admitted to the cardiology unit of the Hospital del Mar between 2008 and 2011 because of a first episode of HF were considered cases. Controls were selected from the population in the hospital catchment area who were using primary care services. Cardiovascular risk factor measurements in the primary healthcare electronic medical records prior to the first HF episode were analysed. RESULTS: After the matching process, 645 participants were analysed (129 HF cases and 516 controls). Patients suffering a first HF episode had modest increments in body mass index and blood pressure levels during the previous two years. Adjusted odds ratio for experiencing a first HF hospital admission episode according to systolic blood pressure levels and body mass index was (OR: 1.031, 95% CI: 1.001-1.04), and (OR: 1.09, 95% CI: 1.03-1.15), respectively. CONCLUSION: Increased levels of body mass index and systolic blood pressure during the previous 24 months may determine a higher risk of having a first HF hospital admission episode.

Rapid point-of-care NT-proBNP optimal cut-off point for heart failure diagnosis in primary care.

INTRODUCTION AND OBJECTIVES: Measurement of natriuretic peptides may be recommended prior to echocardiography in patients with suspected heart failure. Cut-off point for heart failure diagnosis in primary care is not well established. We aimed to assess the optimal diagnostic cut-off value of N-terminal pro-B-type natriuretic peptide on a community population attended in primary care. METHODS: Prospective diagnostic accuracy study of a rapid point-of-care N-terminal pro-B-type natriuretic peptide test in a primary healthcare centre. Consecutive patients referred by their general practitioners to echocardiography due to suspected heart failure were included. Clinical history and physical examination based on Framingham criteria, electrocardiogram, chest X-ray, N-terminal pro-B-type natriuretic peptide measurement and echocardiogram were performed. Heart failure diagnosis was made by a cardiologist blinded to N-terminal pro-B-type natriuretic peptide value, using the European Society of Cardiology diagnosis criteria (clinical and echocardiographic data). RESULTS: Of 220 patients evaluated (65.5% women; median 74 years [interquartile range 67-81]). Heart failure diagnosis was confirmed in 52 patients (23.6%), 16 (30.8%) with left ventricular ejection fraction <50% (39.6 [5.1]%). Median values of N-terminal pro-B-type natriuretic peptide were 715 pg/mL [interquartile range 510.5-1575] and 77.5 pg/mL [interquartile range 58-179.75] for patients with and without heart failure respectively. The best cut-off point was 280 pg/mL, with a receiver operating characteristic curve of 0.94 (95% confidence interval, 0.91-0.97). Six patients with heart failure diagnosis (11.5%) had N-terminal pro-B-type natriuretic peptide values <400 pg/mL. Measurement of natriuretic peptides would avoid 67% of requested echocardiograms. CONCLUSIONS: In a community population attended in primary care, the best cut-off point of N-terminal pro-B-type natriuretic peptide to rule out heart failure was 280 pg/mL. N-terminal pro-B-type natriuretic peptide measurement improve work-out diagnoses and could be cost-effectiveness.