Multi-modality assessment of congestion in acute heart failure: Associations with left ventricular ejection fraction and prognosis.

BACKGROUND: Integrating clinical examination with ultrasound measures of congestion could improve risk stratification in patients hospitalized with acute heart failure (AHF). AIM: To investigate the prevalence of clinical, echocardiographic and lung ultrasound (LUS) signs of congestion according to left ventricular ejection fraction (LVEF) and their association with prognosis in patients with AHF. METHODS: We pooled the data of four cohorts of patients (N = 601, 74.9±10.8 years, 59 % men) with AHF and analysed six features of congestion at enrolment: clinical (peripheral oedema and respiratory rales), biochemical (BNP/NT-proBNP≥median), echocardiographic (inferior vena cava (IVC)≥21 mm, pulmonary artery systolic pressure (PASP)≥40 mmHg, E/e'≥15) and B-lines ≥25 (8-zones) in those with reduced (<40 %, HFrEF), mildly reduced (40-49 %, HFmrEF and preserved (≥50 %HFpEF) LVEF. RESULTS: Compared to patients with HFmrEF (n = 110) and HFpEF (n = 201), those with HFrEF (N = 290) had higher natriuretic peptides, but prevalence of clinical (39 %), echocardiographic (IVC≥21 mm: 56 %, E/e'≥15: 57 %, PASP≥40 mmHg: 76 %) and LUS (48 %) signs of congestion was similar. In multivariable analysis, clinical (HR: 3.24(2.15-4.86), p < 0.001), echocardiographic [(IVC≥21 mm (HR:1.91, 1.21-3.03, p=0.006); E/e'≥15 (HR:1.54, 1.04-2.28, p = 0.031)] and LUS (HR:2.08, 1.34-3.24, p = 0.001) signs of congestion were significantly associated with all-cause mortality and/or HF re-hospitalization. Adding echocardiographic and LUS features of congestion to a model than included age, sex, systolic blood pressure, clinical congestion and natriuretic peptides, improved prediction at 90 and 180 days. CONCLUSIONS: Clinical and ultrasound signs of congestion are highly prevalent in patients with AHF, regardless of LVEF and their combined assessment improves risk stratification.

Income level and inequality as complement to geographical differences in cardiovascular trials.

BACKGROUND: Analyses of country or regional differences in cardiovascular (CV) trials are based on geographical subgroup analyses. However, apart from map location and related racial, ethnic, and genetic variations, identified differences may also depend on social structure and provision and access to health care, for which country income and income inequality are indicators. The aim of the study was to examine the association between country per capita income and income inequality and prognosis in patients with heart failure or an acute coronary syndrome in 3 international trials (EMPHASIS-HF, EPHESUS, and EXAMINE). METHODS: Countries were classified into high income or low-middle income (LMICs) and into low, middle, or high inequality using the Gini index. The main outcome measures were all-cause and CV death. RESULTS: Patients from LMICs and countries with higher inequality were younger, were less often white, had fewer comorbid conditions, and were less often treated with guideline-recommended therapies, including devices. These patients had higher adjusted mortality rates (+15% to +70%) compared with patients from high-income countries and countries with less inequality. Patients from countries with the combination of greater inequality and low-middle income had particularly high mortality rates (+80% to +190%) compared with those that did not have both characteristics. Living in a country that is poor and has inequality had more impact on death rates than any comorbidity. These findings were reproduced in 3 trials. CONCLUSIONS: Patients from LMICs and countries with greater inequality had the highest mortality rates. The prognostic impact of income and inequality is substantial and should be considered when looking into subgroup differences in CV trials.

Hyperkalaemia prevalence, recurrence and management in chronic haemodialysis: a prospective multicentre French regional registry 2-year survey.

BACKGROUND: Observational studies have reported increased mortality rates in hyperkalaemic or hypokalaemic chronic haemodialysis patients. This study assessed the prevalence and recurrence of hyperkalaemia (HK) along with the concomitant prescription of low-potassium (K) dialysis baths and of K-binding agents in a registry within a French regional disease management programme. METHODS: This was a prospective multicentre (14 chronic haemodialysis centres, Lorraine Region) study encompassing 527 chronic haemodialysis patients followed from 2 January 2014 to 31 December 2015. Predialysis serum K (14 734) measurements, dialysis bath K concentrations and concomitant K binder prescriptions were collected with an electronic health record system. RESULTS: At baseline, 26.4%, 13.8% and 4.9% of patients were hyperkalaemic (i.e. K >5.1, 5.5 or 6 mmol/L, respectively) and 12.5%, 1.9% and 0.4% were hypokalaemic (i.e. K<4, 3.5 or 3 mmol/L, respectively). A total of 61% of patients were prescribed a K-binding resin [essentially sodium polystyrene sulfonate (SPS)], while 2 mmol/L and 3 mmol/L K concentration baths were used relatively equally. Over time, the proportion of patients being prescribed any K-binding agent increased up to 78%. The percentage of patients experiencing HK at any time was 73.8% (HK >5.1 mmol/L), 57.9% (HK >5.5 mmol/L) and 34.5% (HK >6 mmol/L). Only 6.3% of patients became normokalaemic within 3 months after an HK >5.5 mmol/L despite dynamic management of K baths and K binders (i.e. increased prescription of 2 mmol/L K baths and increased SPS doses). CONCLUSIONS: HK was found to be highly prevalent and recurrent in this regional registry despite the widespread and dynamic prescription of low-K dialysis baths and K binders. More effective potassium mitigating strategies are eagerly warranted.

Reproducibility of echocardiographic assessment of 2D-derived longitudinal strain parameters in a population-based study (the STANISLAS Cohort study).

Global peak systolic longitudinal strain (PLS) derived from speckle tracking echocardiography (STE) is a widely used left ventricular deformation parameter. Modern ultrasound systems with improved temporal resolution and new software now allow automated multilayer analysis; however, there is limited evidence regarding its reproducibility. We performed intra- and inter-observer analyses within a population-based cohort study using conventional quantitative strain analysis (GE Healthcare). Fifty patients (49 ± 14 years) were randomly selected among the fourth visit of the STANISLAS Cohort. Multilayer PLS (transmural, subendocardial, and subepicardial), and strain rate (peak systolic, early and late diastolic) were evaluated. Peak systolic shortening (PSS) and early positive systolic strain (EPS) were calculated, as well as post-systolic index (PSI) and pre-stretch index (PST), two additional strain-derived parameters. Intra-observer intraclass correlation coefficients (ICC) were >0.75 for all analyzed parameters. The mean relative intra-observer differences were <5% for all considered parameters, and their 1.96 SDs were <15% for multilayer PLS, strain rate and PSS, but not for EPS, PSI and PST. Inter-observer ICCs were >0.70 (the majority being >0.80). The mean relative inter-observer differences were <7.5% for all considered parameters, with 1.96 SDs of relative differences being <21% for multilayer PLS, strain rate and PSS, but not for EPS, PSI and PST. In this population-based study, in subjects without or with a limited number of cardiovascular risk factors and no previous cardiovascular events, deformation parameters were found to be highly reproducible, except for EPS, PSI and PST, which showed moderately higher variability. Quantitative strain analysis appears to be an effective clinical and research tool, providing insights regarding longitudinal deformation using a simple three-step post-processing procedure.

Reproducibility in echocardiographic assessment of diastolic function in a population based study (the STANISLAS Cohort study).

INTRODUCTION: There is limited evidence regarding intra-observer and inter-observer variations in echocardiographic measurements of diastolic function. This study aimed to assess this reproducibly within a population-based cohort study. METHODS: Sixty subjects in sinus rhythm were randomly selected among 4th visit participants of the STANISLAS Cohort (Lorraine region, France). This 4th examination systematically included M-mode, 2-dimensional, DTI and pulsed-wave Doppler echocardiograms. Reproducibility of variables was studied by intra-class correlation coefficients (ICC) and Bland Altman plots. RESULTS: Our population was on average middle-aged (50 ± 14 y), overweight (BMI = 26 ± 6 kg/m2) and non-smoking (87%) with a quarter of the participants having self-declared hypertension or treated with anti-hypertensive medication(s). Intra-observer ICC were > 0.90 for all analyzed parameters except for left ventricular ejection fraction (LVEF) which was 0.89 (0.81-0.93). The mean relative intra-observer differences were small and limits of agreement of relative differences were narrow for all considered parameters (<5% and <15% respectively). Inter-observer ICC were > 0.90 for all analyzed parameters except for LVEF (ICC = 0.87) and both mitral and pulmonary A wave duration (0.83 and 0.73 respectively). The mean relative inter-observer differences were <5% for all parameters except for pulmonary A wave duration (mean difference = 6.5%). Limits of agreement of relative differences were narrow (<15%), except for mitral A wave duration and velocity (both <20%) as well as left ventricular mass and pulmonary A wave duration (both <30%). Intra-observer agreements with regard to the presence and severity of diastolic dysfunction were excellent (Kappa = 0.93 (0.83-1.00) and 0.88 (0.75-0.99), respectively). CONCLUSION: In this validation study within the STANISLAS cohort, diastolic function echocardiographic parameters were found to be highly reproducible. Diastolic dysfunction consequently appears as a highly effective clinical and research tool.