Sudden Cardiac Death in Heart Failure: A 20-Year Perspective From a Mediterranean Cohort.

BACKGROUND: The prediction of sudden cardiac death (SCD) in heart failure (HF) remains an unmet need. The aim of our study was to assess the prevalence of SCD over 20 years in outpatients with HF managed in a Mediterranean multidisciplinary HF Clinic, and to compare the proportion of SCD (SCD/all-cause death) to the expected proportional occurrence based on the validated Seattle Proportional Risk Model (SPRM) score. METHODS AND RESULTS: This prospective observational registry study included 2772 outpatients with HF admitted between August 2001 and May 2021. Patients were included when the cause of death was known and SPRM score was available. Over the 20-year study period, 1351 patients (48.7%) died during a median follow-up period of 3.8 years (interquartile range 1.6-7.6). Among these patients, the proportion of SCD out of the total of deaths was 13.6%, whereas the predicted by SPRM was 39.6%. This lower proportion of SCD was observed independently of left ventricular ejection fraction, ischemic etiology, and the presence of an implantable cardiac defibrillator. CONCLUSIONS: In a Mediterranean cohort of outpatients with HF, the proportion of SCD was lower than expected based on the SPRM score. Future studies should investigate to what extend epidemiological and guideline-directed medical therapy patterns influence SCD.

Lung Ultrasound for Heart Failure Diagnosis in Primary Care.

BACKGROUND: Lung ultrasound (LUS) is useful for diagnosing pulmonary congestion, but its value in primary care remains unclear. We investigated whether LUS improved diagnostic accuracy in outpatients with heart failure (HF) suspicion. METHODS AND RESULTS: LUS was performed on 2 anterior (A), 2 lateral (L), and 2 posterior (P) areas per hemithorax. An area was positive when ≥3 B-lines were observed. Two diagnostic criteria were used: for LUS-C1, 2 positive areas of 4 (A-L) on each hemithorax; and for LUS-C2, 2 positive areas of 6 (A-L-P) on each hemithorax. A cardiologist blinded to LUS validated HF diagnosis. 162 patients were included (age 75.6 ± 9.4 years, 70.4% women). Both LUS criteria, alone and combined with other HF diagnostic criteria, were accurate for identifying HF. LUS-C2 outperformed LUS-C1, showing remarkable specificity (0.99) and positive predictive value (0.92). LUS-C2, together with Framingham criteria, N-terminal pro-B-type natriuretic peptide, and electrocardiogram, added diagnostic value (area under the receiver operating characteristic curves 0.90 with LUS-C2 vs 0.84 without; P = .006). In the absence of N-terminal pro-B-type natriuretic peptide, LUS-C2 significantly reclassified one-third of patients above Framingham criteria and electrocardiogram (net reclassification improvement 0.65, 95% confidence interval 0.04-1.1). CONCLUSIONS: LUS was accurate enough to rule-in HF in a primary care setting. The accuracy of diagnostic workup for HF in primary care is enhanced by incorporating LUS, irrespective NT-proBNP availability.

Long-term LVEF trajectories in patients with type 2 diabetes and heart failure: diabetic cardiomyopathy may underlie functional decline.

BACKGROUND: Left ventricular ejection fraction (LVEF) trajectories and functional recovery with current heart failure (HF) management is increasingly recognized. Type 2 diabetes mellitus (T2D) leads to a worse prognosis in HF patients. However, it is unknown whether T2D interferes with LVEF trajectories. The aim of this study was to prospectively assess very long-term (up to 15 years) LVEF trajectories in patients with and without T2D and underlying HF. METHODS: Ambulatory patients admitted to a multidisciplinary HF clinic were prospectively evaluated by scheduled two-dimensional echocardiography at baseline, 1 year, and then every 2 years afterwards, up to 15 years. Statistical analyses of LVEF change with time were performed using the linear mixed effects (LME) models, and locally weighted error sum of squares (Loess) curves were plotted. RESULTS: Of the 1921 patients, 461 diabetic and 699 non-diabetic patients with LVEF < 50% were included in the study. The mean number of echocardiography measurements performed in diabetic patients was 3.3 ± 1.6. Early LVEF recovery was similar in diabetic and non-diabetic patients, but Loess curves showed a more pronounced inverted U shape in diabetics with a more pronounced decline after 9 years. LME analysis showed a statistical interaction between T2D and LVEF trajectory over time (p = 0.009), which was statistically significant in patients with ischemic etiologies (p < 0.001). Other variables that showed an interaction between LVEF trajectories and T2D were male sex (p = 0.04) and HF duration (p = 0.008). CONCLUSIONS: LVEF trajectories in T2D patients with depressed systolic function showed a pronounced inverted U shape with a marked decline after 9 years. Diabetic cardiomyopathy may underlie the functional decline observed.

Advanced remote care for heart failure in times of COVID-19 using an implantable pulmonary artery pressure sensor: the new normal.

Heart failure (HF) is a major public health problem and a leading cause of hospitalization in western countries. Over the past decades, the goal has been to find the best method for monitoring congestive symptoms to prevent hospitalizations. Addressing this task through regular physician visits, blood tests, and imaging has proven insufficient for optimal control and has not decreased enough HF-related hospitalization rates. In recent years, new devices have been developed for this reason and CardioMEMS is one of the therapeutic monitoring options. CardioMEMS has shown to be effective in preventing and reducing HF hospitalizations in patients both with HF with reduced ejection fraction and HF with preserved ejection fraction. CardioMEMS' versatility has made it a great option for pulmonary artery pressure monitoring, both during the coronavirus disease-19 (COVID-19) pandemic and when the clinic visits have (partially) resumed. CardioMEMS is the remote haemodynamic monitoring system with the most evidence-driven efficacy, and COVID-19 has put it in the spot as a centre-stage technology for HF monitoring. In a few months of the COVID-19 epidemic, CardioMEMS has grown to maturity, making it the new normal for high-quality, high-value remote HF care.

Short-term mortality in end-stage heart failure patients.

OBJECTIVES: This study is aimed at analyzing the impact of the main factors contributing to short and long-term mortality in patients at final stages of heart failure (HF). SETTING: Patients attended at any of the 279 primary health care centers belonging to the Institut Català de la Salut, in Catalonia (Spain). PARTICIPANTS: Patients with Advanced HF. DESIGN: Multicenter cohort study including 1148 HF patients followed for one-year after reaching New York Heart Association (NYHA) IV. MAIN MEASUREMENTS: The primary outcome was all-cause mortality. Multivariate logistic regression models were performed to assess the outcomes at 1, 3, 6, and 12 months. RESULTS: Mean age of patients was 82 (SD 9) years and women represented 61.7%. A total of 135 (11.8%) and 397 (34.6%) patients died three months and one year after inclusion, respectively. Male gender, age, and decreased body mass index were associated with higher mortality at three, six and twelve months. In addition, low systolic blood pressure levels, severe reduction in glomerular filtration, malignancy, and higher doses of loop diuretics were related to higher mortality from 6 to 12 months. The most important risk factor over the whole period was presenting a body mass index lower than 20kg/m2 (three months OR 3.06, 95% CI: 1.58-5.92; six months OR 4.42, 95% CI: 2.08-9.38; and 12 months OR 3.68, 95% CI: 1.76-7.69). CONCLUSIONS: We may conclude that male, age, and decreased body mass index determined higher short-term mortality in NYHA IV. In addition, low systolic blood pressure, reduced glomerular filtration, malignancy, and higher doses of loop diuretics contribute to increasing the risk of mortality at medium and long-term. Such variables are easily measurable and can help to decide the best way to face the most advances stages of the disease.

Social Risk and Mortality: A Cohort Study in Patients With Advanced Heart Failure.

BACKGROUND: Heart failure (HF) is a chronic condition that usually leads to death a few years after diagnosis. Although several clinical factors have been found to be related to increased mortality, less is known about the impact of social context, especially at the end stage of the disease. Knowing about social context is important to properly classify risk and provide holistic management for patients with advanced HF. OBJECTIVE: The aim of this study was to determine the impact of social context on mortality in patients with advanced HF. METHODS: A retrospective cohort study was conducted using data from clinical records on community-dwelling patients with HF and with New York Heart Association IV functional class living in Catalonia in northeastern Spain. Clinical data, patient dependency for basic activities of daily living, and social assessments were collected between 2010 and 2013. The primary outcome was all-cause mortality. RESULTS: Data from 1148 New York Heart Association class IV patients were analyzed. Mean (SD) age was 82 (9.0) years, and 61.7% were women. The mean (SD) follow-up was 18.2 (11.9) months. Mortality occurred in 592 patients. Social risk was identified in 63.6% of the patients, and 9.3% acknowledged having social problems. In the adjusted multivariate model, being male (hazard ratio (HR), 1.82; 95% confidence interval [CI], 1.16-2.83), having high dependency on others for basic activities of daily living (HR, 2.16; 95% CI, 1.21-3.85), and presenting with a social problem (HR, 2.46; 95% CI, 1.22-4.97) were related to an increased risk of mortality. CONCLUSIONS: An unfavorable social profile is an independent risk factor for mortality in patients with advanced HF.

Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients.

BACKGROUND: Heart failure (HF) is associated with a high rate of readmissions within 30 days post-discharge and in the following year, especially in frail elderly patients. Biomarker data are scarce in this high-risk population. This study assessed the value of early post-discharge circulating levels of ST2, NT-proBNP, CA125, and hs-TnI for predicting 30-day and 1-year outcomes in comorbid frail elderly patients with HF with mainly preserved ejection fraction (HFpEF). METHODS: Blood samples were obtained at the first visit shortly after discharge (4.9 ± 2 days). The primary endpoint was the composite of all-cause mortality or HF-related rehospitalization at 30 days and at 1 year. All-cause mortality alone at one year was also a major endpoint. HF-related rehospitalizations alone were secondary end-points. RESULTS: From February 2014 to November 2016, 522 consecutive patients attending the STOP-HF Clinic were included (57.1% women, age 82 ± 8.7 years, mean Barthel index 70 ± 25, mean Charlson comorbidity index 5.6 ± 2.2). The composite endpoint occurred in 8.6% patients at 30 days and in 38.5% at 1 year. In multivariable analysis, ST2 [hazard ratio (HR) 1.53; 95% CI 1.19-1.97; p = 0.001] was the only predictive biomarker at 30 days; at 1 year, both ST2 (HR 1.34; 95% CI 1.15-1.56; p < 0.001) and NT-proBNP (HR 1.19; 95% CI 1.02-1.40; p = 0.03) remained significant. The addition of ST2 and NT-proBNP into a clinical predictive model increased the AUC from 0.70 to 0.75 at 30 days (p = 0.02) and from 0.71 to 0.74 at 1 year (p < 0.05). For all-cause death at 1 year, ST2 (HR 1.50; 95% CI 1.26-1.80; p < 0.001), and CA125 (HR 1.41; 95% CI 1.21-1.63; p < 0.001) remained independent predictors in multivariable analysis. The addition of ST2 and CA125 into a clinical predictive model increased the AUC from 0.74 to 0.78 (p = 0.03). For HF-related hospitalizations, ST2 was the only predictive biomarker in multivariable analyses, both at 30 days and at 1 year. CONCLUSIONS: In a comorbid frail elderly population with HFpEF, ST2 outperformed NT-proBNP for predicting the risk of all-cause mortality or HF-related rehospitalization. ST2, a surrogate marker of inflammation and fibrosis, may be a better predictive marker in high-risk HFpEF.

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.

Impact of diabetes on the predictive value of heart failure biomarkers.

BACKGROUND: Patients with diabetes mellitus (DM) have an increased risk of developing heart failure (HF). Further, DM is associated with poor prognosis in patients with HF. Our aim was to determine whether DM has any impact on the predictive value of a multi-biomarker panel in patients with HF. METHODS: We included 1069 consecutive ambulatory HF patients in the study: age 66.2 ± 12.8 years, 33.5 ± 13.3 left ventricular ejection fraction, 36% diabetic patients. We measured serum concentrations of N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity troponin T (hs-TnT), ST2, galectin-3, high-sensitivity C reactive protein (hs-CRP), cystatin-C, soluble transferrin receptor (sTfR), and neprilysin and followed patients for 4.9 ± 2.8 years. Primary endpoints were all-cause and cardiovascular death. RESULTS: During follow-up, 534 patients died; 283 died of cardiovascular causes. Diabetic subjects had higher mortality (57.7 vs. 45.6%, p < 0.001). NTproBNP (p = 0.07), hs-TnT (p < 0.001), galectin-3 (p < 0.001), and cystatin-C (p = 0.001) concentrations were higher in diabetic patients, whereas sTfR levels were lower (p = 0.005). There were no interactions between DM and NTproBNP, hs-TnT, galectin-3, hs-CRP, cystatin-C, sTfR, and neprilysin relative to risk prediction for all-cause or cardiovascular death. By contrast, ST2 significantly interacted with DM for all-cause (p = 0.02) and cardiovascular (p = 0.03) death. In diabetic patients, HRs for ST2 were 1.27 (95% CI 1.16-1.40, p < 0.001) and 1.23 (95% CI 1.09-1.39, p = 0.001) for all-cause and cardiovascular death, respectively. In nondiabetic patients, HRs for ST2 were 1.53 (95% CI 1.35-1.73, p < 0.001) and 1.64 (95% CI 1.31-2.05, p < 0.001) for all-cause and cardiovascular death, respectively. The multivariable Cox regression analysis showed that hs-TnT and ST2 were the only markers that were independently associated with both all-cause and cardiovascular mortality in patients with HF and diabetes. Moreover, in these patients, the combination of these two markers significantly increased discrimination as assessed by the area under the curve. CONCLUSIONS: Biomarkers used in the general population to predict the clinical course of heart failure are also useful in patients with diabetes. In these patients, among all the biomarkers analysed only hs-TnT and ST2 were independently associated with both all-cause and cardiovascular mortality.

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.

[Baseline characteristics and changes in treatment after a period of optimization of the patients included in the study EFICAR]. / Características basales y cambios en el tratamiento tras el periodo de optimización de los pacientes incluidos en el estudio EFICAR.

OBJECTIVES: To describe the baseline date and drugs therapy changes during treatment optimization in patients with heart failure with depressed systolic function included in the EFICAR study. DESIGN: Multicenter randomized clinical trial. LOCATION: Seven Health Centers. PARTICIPANTS: 150 patients (ICFSD) age 68±10 years, 77% male. MEASUREMENTS: Sociodemographic variables, comorbidities (Charlson index), functional capacity and quality of life. Drug therapy optimization was performed. RESULTS: The main etiology was ischemic heart disease (45%), with 89% in functional class II. The Charlson index was 2.03±1.05. The ejection fraction mean was 37%±8, 19% with ejection fraction <30%. With the stress test 6.3±1.6 mean was reached, with the 6 minutes test 446±78 meters and the chair test 13.7±4.4 seconds. The overall quality of life with ejection fraction was 22.8±18.7 and with the Short Form-36 Health Survey, physical health 43.3±8.4 and mental health 50.1±10.6. After optimizing the treatment, the percentage of patients on drugs therapy and the dose of angiotensin converting enzyme inhibitors, angiotensin II receptor antagonists and beta-blockers were not changed. CONCLUSIONS: The majority of the subjects are in functional class II, with functional capacity and quality of life decreased and comorbidity index high. A protocolized drug therapy adjustment did not increase the dose or number of patients with effective drugs for heart failure with depressed systolic function.

ST2 pathogenetic profile in ambulatory heart failure patients.

BACKGROUND: Soluble ST2 is involved in multiple pathogenic pathways, including cardiac strain, inflammation, and myocardial necrosis with remodeling. The relative weight of ST2 and the point at which its prognostic value in heart failure (HF) is affected by different degrees of myocardial strain, inflammation, necrosis, and remodeling is unknown. METHODS AND RESULTS: We examined whether soluble ST2 levels improves HF risk stratification relative to other biomarkers representative of multiple pathogenic pathways-N-terminal pro-B-type natriuretic peptide (NT-proBNP; strain), high-sensitivity C-reactive protein (hsCRP; inflammation), and galectin-3 and high-sensitivity troponin T (hsTnT; necrosis and remodeling)-in 1,015 patients with mean left ventricular ejection fraction (LVEF) 33.5%. Mean follow-up was 4.2 ± 2.1 years. The correlation with soluble ST2 was highest with NT-proBNP (r = 0.32; P < .001) and lowest with galectin-3 (r = 0.15; P < .001). ST2 levels increased with increasing concentrations of the other biomarkers (P < .001 in all cases). During follow-up, 467 patients died. Soluble ST2 remained an independent prognosticator of risk at every tertile of each biomarker. This was observed even after adjusting for clinical parameters. CONCLUSIONS: Soluble ST2 may be regarded as a 3-in-1 prognosis biomarker in HF. ST2 provides valuable long-term risk stratification information in HF beyond that reported by other biomarkers of stretch, inflammation, necrosis, and remodeling.

Long-term prognostic value for patients with chronic heart failure of estimated glomerular filtration rate calculated with the new CKD-EPI equations containing cystatin C.

BACKGROUND: Correct estimation of renal function is crucial in assessing prognosis of patients with heart failure (HF). Recently, two new equations have been proposed to calculate estimated glomerular filtration rate (eGFR) with cystatin C alone or both creatinine and cystatin C. We assessed the prognostic value of eGFR estimated by these new equations in outpatients with HF. METHODS: The study included 879 patients with median age, 70.4 years; main etiology of HF ischemic heart disease, 52.7%; and median LVEF, 34%. RESULTS: eGFR estimates by the new equations correlated significantly with eGFR estimates from previous equations, with the best correlation observed between the 2 equations containing cystatin C [intraclass correlation coefficient 0.95 (95% confidence interval 0.94-0.95)]. During a median follow-up of 3.94 years, 371 patients died. The Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equations containing cystatin C were found to be best for predicting death [area under the ROC curve 0.685 for CKD-EPI-cystatin C and 0.672 for CKD-EPI-creatinine-cystatin C vs 0.632 for simplified Modification of Diet in Renal Disease Study traceable to isotope dilution mass spectrometry and 0.643 for CKD-EPI (all P < 0.001)]. The CKD-EPI-cystatin C equations also showed significantly better calibration and reclassification measurements for both integrated discrimination improvement and net reclassification improvement in predicting death (P < 0.001). Reclassification with these new equations was particularly better in the subgroup with intermediate eGFR [45-74 mL · min(-1) · (1.73 m(2))(-1)]. CONCLUSIONS: The two new CKD-EPI equations containing cystatin C are useful for HF risk stratification and show better prognostic performance than creatinine-only based eGFR equations, mostly in patients with intermediate eGFR. These equations seem appropriate for assessing prognosis of HF patients with moderate renal insufficiency.

Trajectories of Kidney Function in Heart Failure Over a 15-Year Follow-Up: Clinical Profiling and Mortality.

BACKGROUND: Limited data are available on the long-term trajectory of estimated glomerular filtration rate (eGFR) in patients with chronic heart failure. OBJECTIVES: The authors evaluated eGFR dynamics using the 2009 Chronic Kidney Disease Epidemiology Collaboration equation and its prognostic significance in a real-world cohort over a 15-year follow-up. METHODS: A prospective observational registry of ambulatory heart failure outpatients was conducted, with regular eGFR assessments at baseline and on a 3-month schedule for ≤15 years. Urgent kidney function assessments were excluded. Locally weighted error sum of squares curves were plotted for predefined subgroups. Multivariable longitudinal Cox regression analyses were conducted to assess associations with all-cause and cardiovascular death. RESULTS: A total of 2,672 patients were enrolled consecutively between August 2001 and December 2021. The average age was 66.8 ± 12.6 years, and 69.8% were men. Among 40,970 creatinine measurements, 28,634 were used for eGFR analysis, averaging 10.7 ± 8.5 per patient. Over the study period, a significant decline in eGFR was observed in the entire cohort, with a slope of -1.70 mL/min/1.73 m2 per year (95% CI: -1.75 to -1.66 mL/min/1.73 m2 per year). Older patients, those with diabetes, a preserved ejection fraction, a higher baseline eGFR, elevated hospitalization rates, and those who died during follow-up experienced more pronounced decreases in the eGFR. Moreover, the decrease in kidney function correlated independently with all-cause mortality and cardiovascular death. CONCLUSIONS: These findings highlight the sustained decline in eGFR over 15 years in patients with heart failure, with variations based on clinical characteristics, and emphasize the importance of regular eGFR monitoring in this population.

Prognostic implication of lung ultrasound in heart failure: pooled analysis of international cohorts.

BACKGROUND: Lung ultrasound (LUS) is often used to assess congestion in heart failure (HF). In this study, we assessed the prognostic role of LUS in HF patients at admission and hospital discharge, and in an out-patient setting and explored whether clinical factors (age, sex, left ventricular ejection fraction (LVEF) and atrial fibrillation) impact the prognostic value of LUS findings. Further, we assessed the incremental prognostic value of LUS on top of AHEAD and MAGGIC clinical risk scores. METHODS AND RESULTS: We pooled data of patients hospitalized for HF or followed-up in out-patient clinics from international cohorts. We enrolled 1,947 patients, at admission (n=578), discharge (n=389) and in out-patient clinic (n=980). Total LUS B-line count was calculated for the 8-zone scanning protocol. The primary outcome was a composite of re-hospitalization for HF and all-cause death. Compared to those in the lower tertiles of B-lines, patients in the highest tertile were older, more likely to have signs of HF and higher NT-proBNP levels. A higher number of B-lines was associated with increased risk of primary outcome at discharge (Tertile3 vs Tertile1: adjustedHR= 5.74 (3.26- 10.12), p<0.0001) and in out-patients (Tertile3 vs Tertile1: adjustedHR= 2.66 (1.08- 6.54), p=0.033). Age and LVEF did not influence the prognostic capacity of LUS in different clinical settings. Adding B-line count to MAGGIC and AHEAD scores improved net reclassification significantly in all three clinical settings. CONCLUSION: A higher number of B-lines in patients with HF was associated with increased risk of morbidity and mortality, regardless of the clinical setting.

Investigating silent strokes in hypertensives: a magnetic resonance imaging study (ISSYS): rationale and protocol design.

BACKGROUND: Silent brain infarcts are detected by neuroimaging in up to 20% of asymptomatic patients based on population studies. They are five times more frequent than stroke in general population, and increase significantly both with advancing age and hypertension. Moreover, they are independently associated with the risk of future stroke and cognitive decline.Despite these numbers and the clinical consequences of silent brain infarcts, their prevalence in Mediterranean populations is not well known and their role as predictors of future cerebrovascular and cardiovascular events in hypertensive remains to be determined.ISSYS (Investigating Silent Strokes in Hypertensives: a magnetic resonance imaging study) is an observational cross-sectional and longitudinal study aimed to: 1- determine the prevalence of silent cerebrovascular infarcts in a large cohort of 1000 hypertensives and to study their associated factors and 2-to study their relationship with the risk of future stroke and cognitive decline. METHODS/DESIGN: Cohort study in a randomly selected sample of 1000 participants, hypertensive aged 50 to 70 years old, with no history of previous stroke or dementia.On baseline all participants will undergo a brain MRI to determine the presence of brain infarcts and other cerebrovascular lesions (brain microbleeds, white matter changes and enlarged perivascular spaces) and will be also tested to determine other than brain organ damage (heart-left ventricular hypertrophy, kidney-urine albumin to creatinine ratio, vessels-pulse wave velocity, ankle brachial index), in order to establish the contribution of other subclinical conditions to the risk of further vascular events. Several sub-studies assessing the role of 24 hour ambulatory BP monitoring and plasma or genetic biomarkers will be performed.Follow-up will last for at least 3 years, to assess the rate of further stroke/transient ischemic attack, other cardiovascular events and cognitive decline, and their predictors. DISCUSSION: Improving the knowledge on the frequency and determinants of these lesions in our setting might help in the future to optimize treatments or establish new preventive strategies to minimize clinical and socioeconomic consequences of stroke and cognitive decline.

Left-to-right ventricular volume ratio and outcome in heart failure with preserved ejection fraction.

BACKGROUND: Age-specific and gender-specific reference values for left ventricular (LV) and right ventricle volumes are available. The prognostic implications of the ratio between these volumes in heart failure and preserved ejection fraction (HFpEF) have never been evaluated. METHODS: We examined all HFpEF outpatients undergoing a cardiac magnetic resonance from 2011 to 2021. The left-to-right ventricular volume ratio (LRVR) was defined as the ratio between the LV and right ventricle end-diastolic volume indexes (LVEDVi/RVEDVi). RESULTS: Among 159 patients [median age 58 years (interquartile range 49-69), 64% men, LV ejection fraction 60% (54-70%)] the median LRVR was 1.21 (1.07-1.40). Over 3.5 years (1.5-5.0), 23 patients (15%) experienced all-cause death or heart failure hospitalization, and 22 (14%) cardiovascular death or heart failure hospitalization. The risk of all-cause death or heart failure hospitalization increased with an LRVR less than 1.0 or at least 1.4. An LRVR less than 1.0 was associated with a higher risk of all-cause death or heart failure hospitalization [hazard ratio 5.95, 95% confidence interval (CI) 1.67-21.28; P = 0.006] and cardiovascular death or heart failure hospitalization (hazard ratio 5.68, 95% CI 1.58-20.35; P = 0.008) as compared with LRVR 1.0-1.3. Furthermore, an LRVR at least 1.4 was associated with a higher risk of all-cause death or heart failure hospitalization (hazard ratio 4.10, 95% CI 1.58-10.61; P = 0.004) and cardiovascular death or heart failure hospitalization (hazard ratio 3.71, 95% CI 1.41-9.79; P = 0.008) as compared with LRVR 1.0-1.3. These results were confirmed in patients without dilation of either ventricle. CONCLUSION: LRVR values less than 1.0 or at least 1.4 are associated with worse outcomes in HFpEF. LRVR may become a valuable tool for risk prediction in HFpEF.

Prediction of Left Ventricular Reverse Remodeling and Outcomes by Circulating Collagen-Derived Peptides.

BACKGROUND: Myocardial fibrosis may increase vulnerability to poor prognosis in patients with heart failure (HF), even in those patients exhibiting left ventricular reverse remodeling (LVRR) after guideline-based therapies. OBJECTIVES: This study sought to characterize fibrosis at baseline in patients with HF with left ventricular ejection fraction (LVEF) <50% by determining serum collagen type I-derived peptides (procollagen type I C-terminal propeptide [PICP] and ratio of collagen type I C-terminal telopeptide to matrix metalloproteinase-1) and to evaluate their association with LVRR and prognosis. METHODS: Peptides were determined in 1,034 patients with HF at baseline. One-year echocardiography was available in 665 patients. Associations of peptides with 1-year changes in echocardiographic variables were analyzed by multivariable linear mixed models. LVEF was considered improved if it increased by ≥15% or to ≥50% or if it increased by ≥10% to >40% in patients with LVEF ≤40%. Cardiovascular death and HF-related outcomes were analyzed in all patients randomized to derivation (n = 648) and validation (n = 386) cohorts. RESULTS: Continuous associations with echocardiographic changes were observed only for PICP. Compared with high-PICP (≥108.1 ng/mL) patients, low-PICP (<108.1 ng/mL) patients exhibited enhanced LVRR and a lower risk of HF-related outcomes (P ≤ 0.018), with women and nonischemic patients with HF showing a stronger LVEF increase (interaction P ≤ 0.010). LVEF increase was associated with a better prognosis, particularly in low-PICP patients (interaction P ≤ 0.029). Only patients with both low PICP and improved LVEF exhibited a better clinical evolution than patients with nonimproved LVEF (P < 0.001). CONCLUSIONS: Phenotyping with PICP, a peptide associated with myocardial fibrosis, may be useful to differentiate patients with HF who are more likely to experience clinical myocardial recovery from those with partial myocardial improvement.

Evolocumab has no effects on heart failure with reduced ejection fraction injury biomarkers: The EVO-HF trial.

AIM: Patients with heart failure with reduced ejection fraction (HFrEF) have not been shown to benefit from statins. We hypothesized that, by limiting disease progression in stable HFrEF of ischaemic etiology, the proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor evolocumab could reduce circulating troponin levels, a surrogate biomarker of myocyte injury and atherosclerosis progression. METHODS AND RESULTS: The EVO-HF multicentre prospective randomized trial compared evolocumab (420 mg/month administered subcutaneously) plus guideline-directed medical therapy (GDMT; n = 17) versus GDMT alone (n = 22) for 1 year in patients with stable coronary artery disease and left ventricular ejection fraction (LVEF) <40%, ischaemic aetiology, New York Heart Association class II, N-terminal pro-B-type natriuretic peptide (NT-proBNP) ≥400 pg/ml, high-sensitivity troponin T (hs-TnT) >10 pg/ml, low-density lipoprotein cholesterol (LDL-C) ≥70 mg/dl. The primary endpoint was change in hs-TnT concentration. Secondary endpoints included NT-proBNP, interleukin-1 receptor-like 1 (ST2), high-sensitivity C-reactive protein (hs-CRP), LDL, low-density lipoprotein receptor (LDLR), high-density lipoprotein cholesterol (HDL-C), and PCSK9 levels at 1 year. Patients were mainly Caucasian (71.8%), male (79.5%), relatively young (mean age 68.1 ± 9.4 years), with a mean LVEF of 30.4 ± 6.5%, and managed with contemporary treatments. No significant changes in hs-TnT levels were observed in any group at 1 year. NT-proBNP and ST2 levels decreased in the GDMT plus evolocumab group (p = 0.045 and p = 0.008, respectively), without changes in hs-CRP, HDL-C, or LDLR. Total and LDL-C decreased in both groups, significantly higher in the intervention group (p = 0.003), and PCSK9 levels increased in the intervention group. CONCLUSIONS: This prospective randomized pilot trial, although with the limitation of the small sample size, does not support the benefit of evolocumab in reducing troponin levels in patients with elevated LDL-C levels, history of coronary artery disease, and stable HFrEF.