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Background: Galectin-3 (Gal-3) is a mediator of myocardial fibrosis involved in cardiac remodeling and a potential new prognosis marker in heart failure (HF). Aim: To measure Gal-3 at the moment of discharge in patients hospitalized for HF and its association with different variables. Material and Methods: Patients hospitalized for decompensated HF from four hospitals between August 2014 and March 2015, were included. Demographic, clinical and laboratory variables were recorded at the time of admission. At discharge, a blood sample was withdrawn to measure Gal-3 and brain natriuretic propeptide (Pro-BNP). Patients were separated in two groups, according to the level of Gal-3 (using a cutoff value of 17.8 ng/mL), comparing clinical and laboratory values between groups. Results: We included 52 patients with HF aged 70 ± 17 years (42% females). Functional capacity was III-IV in 46% of patients and the ejection fraction was 34.9 ± 13.4%. Pro-BNP values at discharge were 5,323 ± 8,665 pg/mL. Gal-3 values were 23.8 ± 16.6 ng/mL. Sixty percent of patients had values over 17.8 ng/mL. Those with elevated Gal-3 levels were older (75 ±16 and 62 ± 15 years, respectively, p = 0.025) and were hypertensive in a higher proportion (90.5% and 57.1% respectively, p = 0.021). Conclusions: In patients hospitalized for HF, Gal-3 levels are higher in older and hypertensive subjects.

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BACKGROUND: Frailty is a geriatric syndrome characterized by a progressive impairment in the subjects’ ability to respond to environmental stress. Frailty is more commonly found in heart failure (HF) patients than in general population and it is an independent predictor of rehospitalization, emergency room visits and death. AIM: To estimate the prevalence of frailty in patients with decompensated HF admitted to four hospitals in Santiago, Chile. MATERIAL AND METHODS: Cross-sectional study. Subjects aged 60 or older consecutively admitted for decompensated HF to the study centers between August 2014 and March 2015 were included. Frailty was defined as the presence of three or more of the following criteria: unintended weight loss, muscular weakness, depression symptoms (exhaustion), reduced gait speed and low physical activity. Independent variables were tested for association using simple logistic regression. Variables associated with frailty (p < 0.05) were included in a multiple logistic regression model. RESULTS: Seventy-nine subjects were included. The prevalence of frailty was 50.6%. Frail patients were mostly female (52.6%) and older than non-frail subjects (73.7± 7.9 vs 68.2 ± 7.1; p < 0.003). Independent predictors of frailty were age (Odds raio (OR) 1.10; 95% confidence intervals (CI): 1.03-1.17), quality of life measured with the Minnesota Living with Heart Failure Questionnaire (OR 1.07; IC95%: 1.03-1.11), previous hospitalizations (OR 2.56; 95%CI: 1.02-6.43) and number of medications (OR 4.46; 95%CI: 1.11-17.32). CONCLUSIONS: The prevalence of frailty in patients admitted to the hospital for decompensated heart failure is high. Age, quality of life, hospitalizations and polypharmacy were factors associated with frailty in this group of participants.

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Background: Frailty is a geriatric syndrome characterized by a progressive impairment in the subjects’ ability to respond to environmental stress. Frailty is more commonly found in heart failure (HF) patients than in general population and it is an independent predictor of rehospitalization, emergency room visits and death. Aim: To estimate the prevalence of frailty in patients with decompensated HF admitted to four hospitals in Santiago, Chile. Material and Methods: Cross-sectional study. Subjects aged 60 or older consecutively admitted for decompensated HF to the study centers between August 2014 and March 2015 were included. Frailty was defined as the presence of three or more of the following criteria: unintended weight loss, muscular weakness, depression symptoms (exhaustion), reduced gait speed and low physical activity. Independent variables were tested for association using simple logistic regression. Variables associated with frailty (p < 0.05) were included in a multiple logistic regression model. Results: Seventy-nine subjects were included. The prevalence of frailty was 50.6%. Frail patients were mostly female (52.6%) and older than non-frail subjects (73.7± 7.9 vs 68.2 ± 7.1; p < 0.003). Independent predictors of frailty were age (Odds raio (OR) 1.10; 95% confidence intervals (CI): 1.03-1.17), quality of life measured with the Minnesota Living with Heart Failure Questionnaire (OR 1.07; IC95%: 1.03-1.11), previous hospitalizations (OR 2.56; 95%CI: 1.02-6.43) and number of medications (OR 4.46; 95%CI: 1.11-17.32). Conclusions: The prevalence of frailty in patients admitted to the hospital for decompensated heart failure is high. Age, quality of life, hospitalizations and polypharmacy were factors associated with frailty in this group of participants.

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BACKGROUND: Framingham risk score (FRS) has limitations and can underestimate risk. Carotid ultrasound to measure intima media thickness or plaques is recommended for cardiovascular risk assessment. AIM: To determine the prevalence of subclinical atherosclerosis in asymptomatic subjects classified as low and intermediate risk. MATERIAL AND METHODS: Cross-sectional study performed in subjects without cardiovascular disease. Cardiovascular risk was estimated using the Chilean FRS and the General Cardiovascular Disease FRS. Carotid ultrasound was performed in all subjects. We defined subclinical atherosclerosis as the presence of carotid plaque or intima media thickness greater than 75th percentile by gender and age. RESULTS: We studied 203 subjects aged 47.2 ± 9.6 years (54% males). Mean intima media thickness was 0.62 ± 0.1 mm. An abnormal value was detected in 68 subjects (33%) and carotid plaques in 32 subjects (15.7%). Based on Chilean FRS, 96% were considered at low risk, 4% at intermediate, and none at high risk. In the low risk group the prevalence of abnormal intima media thickness and plaques was 40 and 14% respectively. Presence of plaques was more common in women than men (23 and 7% respectively, p < 0.01). According to the General Cardiovascular Disease FRS, 23% were at low, 39% at low intermediate and 28% at high intermediate risk. In the low risk group the prevalence of an abnormal intima media thickness was 34% and no subject had plaques. CONCLUSIONS: Carotid plaques were detected in Chilean subjects classified as having a low FRS risk. The underestimation of risk was higher in Chilean women.

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Background: Framingham risk score (FRS) has limitations and can underestimate risk. Carotid ultrasound to measure intima media thickness or plaques is recommended for cardiovascular risk assessment. Aim: To determine the prevalence of subclinical atherosclerosis in asymptomatic subjects classified as low and intermediate risk. Material and Methods: Cross-sectional study performed in subjects without cardiovascular disease. Cardiovascular risk was estimated using the Chilean FRS and the General Cardiovascular Disease FRS. Carotid ultrasound was performed in all subjects. We defined subclinical atherosclerosis as the presence of carotid plaque or intima media thickness greater than 75th percentile by gender and age. Results: We studied 203 subjects aged 47.2 ± 9.6 years (54% males). Mean intima media thickness was 0.62 ± 0.1 mm. An abnormal value was detected in 68 subjects (33%) and carotid plaques in 32 subjects (15.7%). Based on Chilean FRS, 96% were considered at low risk, 4% at intermediate, and none at high risk. In the low risk group the prevalence of abnormal intima media thickness and plaques was 40 and 14% respectively. Presence of plaques was more common in women than men (23 and 7% respectively, p < 0.01). According to the General Cardiovascular Disease FRS, 23% were at low, 39% at low intermediate and 28% at high intermediate risk. In the low risk group the prevalence of an abnormal intima media thickness was 34% and no subject had plaques. Conclusions: Carotid plaques were detected in Chilean subjects classified as having a low FRS risk. The underestimation of risk was higher in Chilean women.

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Antecedentes: Uno de los principales predictores de eventos adversos en pacientes con insuficiencia cardíaca (IC) es el deterioro de función renal luego de una hospitalización. Estudios recientes han cuestionado la utilidad de la fórmula de Cockroft-Gault (CG) para estimar la función renal en estos pacientes. Objetivo: Evaluar la utilidad de distintos modelos para determinación indirecta de función renal como pre-dictores de mortalidad alejada en sujetos con IC. Método: Estudio descriptivo analítico. Se incorporaron en forma consecutiva pacientes admitidos de 14 hospitales chilenos con el diagnóstico de IC descompensada entre enero 2002 y julio 2012. Las características de los pacientes se compararon mediante t de Student o chi cuadrado según correspondía. En base a la creatininemia al alta se estimó la tasa de filtración glomerular mediante las formulas CG, MDRD-4 y CKD-Epi. El acuerdo entre los resultados de cada fórmula se analizó mediante kappa de acuerdo para clasificación en estadios de función renal y según el método de Bland-Alt-man. Los pacientes se clasificaron por cuartiles según la estimación de cada fórmula; la sobrevida se analizó con el método de Kaplan-Meier y la capacidad de cada fórmula para predecir eventos mediante un modelo de riesgo proporcional de Cox. La mortalidad al fin del seguimiento se determinó por la base de datos del Servicio Nacional de Registro Civil e Identificación. Resultados: Se incluyeron 1584 pacientes, 45,3 por ciento de sexo femenino. La edad promedio fue de 70,5+/-20 años. La creatinina al ingreso fue 1,63+/-1,48 mg/dL y al egreso de 1,59+/-1,41 mg/dL (p=NS). Todos los modelos estimaron un porcentaje similar de población con falla renal al momento del alta (Cl Crea < 60 ml/min/1.73m2): CG 57,3 por ciento, MDRD-4 54,9 por ciento y CKD-Epi 54,9 por ciento. El clearance de creatinina estimado por CG (59,4+/-30,4 mL/min/1,74) fue mayor al estimado por CKD-Epi o MDRD-4 (54,2+/-25,1 y 57,8+/-27 mL/min/1,73m2)...

Background. One of the best predictors of adverse events in patients with congestive heart failure (CHF) is the deterioration of renal function following hospitalization. Recent studies have questioned the usefulness of the Cockroft-Gault (CG) formula to estimate renal function in these patients. Aim: To evaluate the usefulness of different indirect methods for estimation of renal function in the prediction of late mortality in patients with CHF. Method: Consecutive patients admitted for CHF in 14 different hospitals from January 2002 and July 2012 were analyzed. Student’s t or Chi square were used as appropriate for statistical comparisons. The serum creatinine level at the time of discharge was used to estimate glomerular filtration rate (GFR) from 3 different formulae: CG, MDRD-4 and CKD-Epi. Agreement among methods for different assignment to different stages of renal failure was evaluated by the "kappa" statistics and the Bland- Altmann method. Survival according to the estimation from each formula was compared by the log-rank statistics on Kaplan-Meier’s survival curves. The ability of each formula to predict adverse events was evaluated by a Cox proportional hazards method. Mortality was obtained from de National Identification Registry. Results: 1548 patients were included, 45.3 percent of them females. Mean age was 70.5 years (SD 20). Creatinine level was 1,63+/-1,48 mg/dL at admission and 1,59+/-1,41 mg/dL at discharge (p=NS). The proportion of patients with renal failure ( creatinine clearance < 60ml/min/1.73 m2) was similar for all methods (CG: 57.3 percent, MDRD-4 54.9 percent and CKD-Epi 54.9 percent). Creatinine clearance by CG (59,4+/-30,4 mL/min/1,73m2) was higher than that estimated by CKD-EPI (54,2+/-25,1/1.73 m2) or MDRD-4 (57,8+/-27 mL/min/1,73m2). Both CKD-Epi and MDMD-4 correctly identified a subgroup of patients with lower late mortality (CKD-Epi quartiles 3 and 4, OR 0,5 IC95 percent 0,35-0,72; MDRD-4 quartiles 3 and 4...

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OBJECTIVES: Heart failure (HF) is associated with changes in myocardial metabolism that lead to impairment of contractile function. Trimetazidine (TMZ) modulates cardiac energetic efficiency and improves outcomes in ischemic heart disease. We evaluated the effects of TMZ on left ventricular ejection fraction (LVEF), cardiac metabolism, exercise capacity, O2 uptake, and quality of life in patients with nonischemic HF. METHODS AND RESULTS: Sixty patients with stable nonischemic HF under optimal medical therapy were included in this randomized double-blind study. Patients were randomized to TMZ (35 mg orally twice a day) or placebo for 6 months. LVEF, 6-minute walk test (6MWT), maximum O2 uptake in cardiopulmonary exercise test, different markers of metabolism, oxidative stress, and endothelial function, and quality of life were assessed at baseline and after TMZ treatment. Left ventricular peak glucose uptake was evaluated with the use of the maximum standardized uptake value (SUV) by 18-fluorodeoxyglucose positron emission tomography ((18)FDG-PET). Etiology was idiopathic in 85% and hypertensive in 15%. Both groups were similar in age, functional class, LVEF, and levels of N-terminal pro-B-type natriuretic peptide at baseline. After 6 months of TMZ treatment, no changes were observed in LVEF (31 ± 10% vs 34 ± 8%; P = .8), 6MWT (443 ± 25 m vs 506 ± 79 m; P = .03), maximum O2 uptake (19.1 ± 5.0 mL kg(-1) min(-1) vs 23.0 ± 7.2 mL kg(-1) min(-1); P = .11), functional class (percentages of patients in functional classes I/II/III/IV 10/3753/0 vs 7/40/50/3; P = .14), or quality of life (32 ± 26 points vs 24 ± 18 points; P = .25) in TMZ versus placebo, respectively. In the subgroup of patients evaluated with (18)FDG-PET, no significant differences were observed in SUV between both groups (7.0 ± 3.6 vs 8.2 ± 3.4 respectively; P = .47). CONCLUSIONS: In patients with nonischemic HF, the addition of TMZ to optimal medical treatment does not result in significant changes of LVEF, exercise capacity, O2 uptake, or quality of life.

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BACKGROUND: Carotid intima-media thickness (IMT) is a surrogate marker of subclinical atherosclerosis and is associated with cardiovascular risk factors (CVRF) AIM: To analyze the association of CVRF and metabolic factors (MF) with IMT, and if the clustering of these factors modify IMT. MATERIAL AND METHODS: Cross sectional study in 187 participants aged 46±10 years (53% male) without CV disease. Weight, height, waist circumference (WC), blood pressure, fasting plasma glucose and lipid profile were measured. Abdominal obesity (AOb) was defined by ATP III criteria. Mean carotid IMT was measured at the far wall of the common carotid artery. The cutoff point for an abnormally high IMT was set at the 75th IMT percentile of the sample. RESULTS: The 75th IMT percentile of the sample was 0.67 mm. In a multivariate analysis four factors were significantly related with a high IMT: age (odds ratio (OR): 5.3, confidence intervals (CI): 2.2-12.9), dyslipidemia (OR: 6.4 CI: 2.3-17.9), systolic blood pressure (OR: 2.9, CI: 1.2-7.1) and AOb (OR: 2.9 (IC: 1.1-7.2). The presence of Oto 4 of these factors was associated with an IMT increment from 0.54 to 0.71 mm (p < 0,001). CONCLUSIONS: In this sample dyslipidemia, systolic blood pressure and abdominal obesity were the main predictors of a high IMT.

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Background: Carotid intima-media thickness (IMT) is a surrogate marker of subclinical atherosderosis and is associated with cardiovascular risk factors (CVRF) Aim: To analyze the association of CVRF and metabolic factors (MF) with IMT, and if the clustering of these factors modify IMT. Material and Methods: Cross sectional study in 187 participants aged 46±10years (53% male) without CV disease. Weight, height, waist circumference (WC), blood pressure, fasting plasma glucose and lipid profile were measured. Abdominal obesity (AOb) was defined by ATP III criteria. Mean carotid IMT was measured at the far watt of the common carotid artery. The cutoff point for an abnormally high IMT was set at the 75th IMT percentile of the sample. Results: The 75th IMT percentile of the sample was 0.67 mm. In a multivariate analysis four factors were significantly related with a high IMT: age (odds ratio (OR): 5.3, confidence intervals (CI): 2.2-12.9), dyslipidemia (OR: 6.4 CI: 2.3-17.9), systolic blood pressure (OR: 2.9, CI: 1.2-7.1) and AOb (OR: 2.9 (IC: 1.1-7.2). The presence of Oto 4 of these factors was associated with an IMT increment from 0.54 to 0.71 mm (p < 0,001). Conclusions: In this sample dyslipidemia, systolic blood pressure and abdominal obesity were the main predictors of a high IMT.

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