0000000001302560
AUTHOR
Javier Santesmases
showing 24 related works from this author
Long-term LVEF trajectories in patients with type 2 diabetes and heart failure: diabetic cardiomyopathy may underlie functional decline
2020
Abstract 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 anal…
Pulmonary hypertension and right ventricular dysfunction in heart failure: prognosis and 15‐year prospective longitudinal trajectories in survivors
2020
Aims Systolic pulmonary artery pressure (SPAP), tricuspid annular plane systolic excursion (TAPSE), and TAPSE/SPAP ratio trajectories are not fully characterized in chronic heart failure (HF). We assessed very long-term longitudinal SPAP, TAPSE and TAPSE/SPAP trajectories in HF patients, and their dynamic changes in outcomes. Methods and results Prospective, consecutive, observational registry of real-life HF patients, performing echocardiography studies at baseline and according to a prospectively structured schedule after 1 year, and then every 2 years, up to 15 years. Pulmonary hypertension (PH) was defined as SPAP ≥40 mmHg; right ventricular dysfunction (RVD) was defined at TAPSE ≤16 mm…
Circulating neprilysin hypothesis: A new opportunity for sacubitril/valsartan in patients with heart failure and preserved ejection fraction?
2021
BackgroundCirculating Neprilysin (sNEP) has emerged as a potential prognostic biomarker in heart failure (HF). In PARAGON-HF benefit of sacubitril/valsartan was only observed in patients with left ventricular ejection fraction (LVEF) ≤57%. We aimed to assess the prognostic value of sNEP in outpatients with HF and LVEF >57%, in comparison with patients with LVEF ≤57%.MethodsConsecutive HF outpatients were included from May-2006 to February-2016. The primary endpoint was the composite of all-cause death or HF hospitalization and the main secondary endpoint was the composite of cardiovascular death or HF hospitalization. For the later competing risk methods were used.ResultssNEP was measure…
A bio-clinical approach for prediction of sudden cardiac death in outpatients with heart failure: The ST2-SCD score
2019
Sudden cardiac death (SCD) is one of the main modes of death in heart failure (HF) patients and its prediction remains a real challenge. Our aim was to assess the incidence of SCD at 5 years HF contemporary managed outpatients, and to find a simple prediction model for SCD.SCD was considered any unexpected death, witnessed or not, occurring in a previously stable patient with no evidence of worsening HF or any other cause of death. A competing risk strategy was adopted using the Fine-Gray method of Cox regressions analyses that considered other causes of death as the competing event.The derivation cohort included 744 consecutive outpatients (72% men, age 67.9 ± 12.2 years, left ventricular …
Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients.
2018
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 mo…
Head-to-head comparison of contemporary heart failure risk scores.
2021
Altres ajuts: acords transformatius de la UAB Aims: Several heart failure (HF) web-based risk scores are currently used in clinical practice. Currently, we lack head-to-head comparison of the accuracy of risk scores. This study aimed to assess correlation and mortality prediction performance of Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC-HF) risk score, which includes clinical variables + medications; Seattle Heart Failure Model (SHFM), which includes clinical variables + treatments + analytes; PARADIGM Risk of Events and Death in the Contemporary Treatment of Heart Failure (PREDICT-HF) and Barcelona Bio-Heart Failure (BCN-Bio-HF) risk calculator, which also include biomarke…
Trends in modes of death in heart failure over the last two decades: less sudden death but cancer deaths on the rise.
2019
AIMS Better management of heart failure (HF) over the past two decades has improved survival, mainly by reducing the incidence of death due to cardiovascular (CV) causes. Deaths due to non-CV causes, particularly cancer, may be increasing. This study explored the modes of death of consecutive patients who attended a HF clinic over 17 years. METHODS AND RESULTS A total of 935 deaths were ascertained from 2002 to 2018 among 1876 patients (mean age 65.8 ± 12.5 years, 75% men, left ventricular ejection fraction < 50%) admitted to our HF clinic. Median follow-up was 4.2 years [1.9-7.8]. Mode of death was curated from patient health records and verified by the Catalan and Spanish health system da…
Bio-profiling and bio-prognostication of chronic heart failure with mid-range ejection fraction.
2018
Abstract Background Recent ESC guidelines on heart failure (HF) have introduced a new phenotype based on left ventricular ejection fraction (LVEF), called the mid-range (HFmrEF). This phenotype falls between the classical reduced (HFrEF) and preserved (HFpEF) HF phenotypes. We aimed to characterize the HFmrEF biomarker profile and outcomes. Methods 1069 consecutive ambulatory patients were included in the study (age 66.2 ± 12.8 years); 800 with HFrEF (74.8%), 134 with HFmrEF (12.5%), and 135 with HFpEF (12.5%). We measured serum concentrations of N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity troponin T (hs-TnT), soluble suppression of tumorigenicity (ST2), galectin-…
Comorbidities, Fragility, and Quality of Life in Heart Failure Patients With Midrange Ejection Fraction.
2018
Objective: To assess the effects of comorbidities, fragility, and quality of life (QOL) on long-term prognosis in ambulatory patients with heart failure (HF) with midrange left ventricular ejection fraction (HFmrEF), an unexplored area. Patients and Methods: Consecutive patients prospectively evaluated at an HF clinic between August 1, 2001, and December 31, 2015, were retrospectively analyzed on the basis of left ventricular ejection fraction category. We compared patients with HFmrEF (n=185) to those with reduced (HFrEF; n=1058) and preserved (HFpEF; n=162) ejection fraction. Fragility was defined as 1 or more abnormal evaluations on 4 standardized geriatric scales (Barthel Index, Older A…
Heart failure with preserved ejection fraction infrequently evolves toward a reduced phenotype in long-term survivors: a long-term prospective longit…
2019
Background: Long-term trajectories of left ventricular ejection fraction (LVEF) in heart failure (HF) patients with preserved EF (HFpEF) remain unclear. Our objective was to assess long-term longitudinal trajectories in consecutive HFpEF patients and the prognostic impact of LVEF dynamic changes over time. Methods and Results: Consecutive ambulatory HFpEF patients admitted to a multidisciplinary HF Unit were prospectively evaluated by 2-dimensional echocardiography at baseline and at 1, 3, 5, 7, 9, and 11 years of follow-up. Exclusion criteria were patients having a previous known LVEF <50%, patients undergoing only 1 echocardiogram study, and those with a diagnosis of dilated, noncompa…
Additional file 3: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients
2018
Table S3. Cox regression analyses for 1-year HF-related hospitalization. A competing risk strategy using the Gray method was adopted, considering death as the competing risk in both univariate and multivariate Cox regression analyses. (DOCX 27 kb)
Additional file 2: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients
2018
Table S2. Cox regression analyses for 30-day rehospitalization. A competing risk strategy using the Gray method was adopted, considering death as the competing risk in both univariate and multivariate Cox regression analyses. (DOCX 27 kb)
Additional file 3: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients
2018
Table S3. Cox regression analyses for 1-year HF-related hospitalization. A competing risk strategy using the Gray method was adopted, considering death as the competing risk in both univariate and multivariate Cox regression analyses. (DOCX 27 kb)
Additional file 2: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients
2018
Table S2. Cox regression analyses for 30-day rehospitalization. A competing risk strategy using the Gray method was adopted, considering death as the competing risk in both univariate and multivariate Cox regression analyses. (DOCX 27 kb)
Additional file 2 of Long-term LVEF trajectories in patients with type 2 diabetes and heart failure: diabetic cardiomyopathy may underlie functional …
2020
Additional file 2: Table S1. Demographic, clinical, and therapeutic characteristics at baseline and treatments during follow-up according to etiology of heart failure and presence of diabetes mellitus. Table S2. Paired wise means data analysis in diabetic patients. Table S3. Causes of death of the studied cohort during the 15-year follow-up, according the presence or absence of diabetes mellitus. Table S4. Multivariable Cox regression analysis for all-cause death and the composite end-point all-cause death or heart failure hospitalization.
Additional file 1: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients
2018
Table S1. Correlations between studied biomarkers. Correlation between the different studied biomarkers was performed using Pearson correlation test of log-transformed values of each biomarker. (DOCX 25 kb)
Additional file 1: of Predictive biomarkers for death and rehospitalization in comorbid frail elderly heart failure patients
2018
Table S1. Correlations between studied biomarkers. Correlation between the different studied biomarkers was performed using Pearson correlation test of log-transformed values of each biomarker. (DOCX 25 kb)
Additional file 8 of Long-term LVEF trajectories in patients with type 2 diabetes and heart failure: diabetic cardiomyopathy may underlie functional …
2020
Additional file 8: Figure S4. Survival and event-free survival curves related to the presence of diabetes mellitus and to etiology (ischemic vs. non-ischemic). Panel B: Event-free survival curves (composite end-point of all-cause death or HF hospitalizations). Diabetic patients from ischemic etiology (dark purple) showed the worse prognosis, while non-diabetic from non-ischemic etiology (blue) showed the best. Remarkably diabetic patients from non-ischemic etiology (soft orange) showed slightly worse prognosis than non-diabetic patients from ischemic etiology (green).
Additional file 1 of Long-term LVEF trajectories in patients with type 2 diabetes and heart failure: diabetic cardiomyopathy may underlie functional …
2020
Additional file 1: Figure S1. Distribution of the number of echocardiograms performed per patient. Number of echocardiograms per patient ranged from 2 (minimum inclusion criteria) to 9 (patients with all the per protocol pre-specified echocardiograms).
Additional file 6 of Long-term LVEF trajectories in patients with type 2 diabetes and heart failure: diabetic cardiomyopathy may underlie functional …
2020
Additional file 6: Figure S3. Loess spline curves of long-term LVEF trajectories based on sex. Panel B: Women. P value for trajectory changes on LVEF <0.001 for both groups. P for comparison between groups (interaction between trajectory changes and diabetes) = 0.14. Shaded regions displayed around curves represent the confidence interval at level = 0.95.
Additional file 5 of Long-term LVEF trajectories in patients with type 2 diabetes and heart failure: diabetic cardiomyopathy may underlie functional …
2020
Additional file 5: Figure S3. Loess spline curves of long-term LVEF trajectories based on sex. Panel A: Men. Diabetic (orange) vs. non-diabetic (blue) patients. P value for trajectory changes on LVEF
Additional file 3 of Long-term LVEF trajectories in patients with type 2 diabetes and heart failure: diabetic cardiomyopathy may underlie functional …
2020
Additional file 3: Figure S2. Loess spline curves of long-term LVEF trajectories based on heart failure duration. Panel A: Patients with HF duration ≤ 12 months; Diabetic (orange) vs. non-diabetic (blue) patients. P value for trajectory changes on LVEF
Additional file 4 of Long-term LVEF trajectories in patients with type 2 diabetes and heart failure: diabetic cardiomyopathy may underlie functional …
2020
Additional file 4: Figure S2. Loess spline curves of long-term LVEF trajectories based on heart failure duration. Panel B: Patients with HF duration > 12 months. P value for trajectory changes on LVEF
Additional file 7 of Long-term LVEF trajectories in patients with type 2 diabetes and heart failure: diabetic cardiomyopathy may underlie functional …
2020
Additional file 7: Figure S4. Survival and event-free survival curves related to the presence of diabetes mellitus and to etiology (ischemic vs. non-ischemic). Panel A: All-cause death survival curves.