Cause of Death in Heart Failure Based on Etiology: Long-Term Cohort Study of All-Cause and Cardiovascular Mortality.

We assessed differences in long-term all-cause and cardiovascular (CV) mortality in heart failure (HF) outpatients based on the etiology of HF. Consecutive patients admitted to the HF Clinic from August 2001 to September 2019 (N = 2587) were considered for inclusion. HF etiology was divided into ischemic heart disease (IHD), dilated cardiomyopathy (DCM), hypertensive heart disease, alcoholic cardiomyopathy, drug-induced cardiomyopathy (DICM), valvular heart disease, and hypertrophic cardiomyopathy. All-cause death and CV death were the primary end points. Among 2387 patients included in the analysis (mean age 66.5 ± 12.5 years, 71.3% men), 1317 deaths were recorded (731 from CV cause) over a maximum follow-up of 18 years (median 4.1 years, interquartile range (IQR) 2-7.8). Considering IHD as the reference, only DCM had a lower risk of all-cause death (adjusted hazard ratio (aHR) 0.68, 95% confidence interval (CI) 0.56-0.83, p < 0.001), and only DICM had a higher risk of all-cause death (aHR 1.47, 95% CI 1.02-2.11, p = 0.04). However, almost all etiologies had a significantly lower risk of CV death than IHD. Among the studied HF etiologies, DCM and DICM have the lowest and highest risk of all-cause death, respectively, whereas IHD has the highest adjusted risk of CV death.

Comorbidities, Fragility, and Quality of Life in Heart Failure Patients With Midrange Ejection Fraction.

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 Americans Resources and Services scale, Pfeiffer Test, and abbreviated-Geriatric Depression Scale). The QOL was assessed with the Minnesota Living with Heart Failure Questionnaire. A comorbidity score (0-7) was constructed. All-cause death, HF-related hospitalization, and the composite end point of both were assessed. RESULTS: Comorbidities and QOL scores were similar in HFmrEF (2.41±1.5 and 30.1±18.3, respectively) and HFrEF (2.30±1.4 and 30.8±18.5, respectively) and were higher in HFpEF (3.02±1.5, P<.001, and 36.5±20.7, P=.003, respectively). No statistically significant differences in fragility between HFmrEF (48.6%) and HFrEF (41.9%) (P=.09) nor HFpEF (54.3%) (P=.29) were found. In univariate analysis, the association of comorbidities, QOL, and fragility with the 3 end points was higher for HFmrEF than for HFrEF and HFpEF. In multivariate analysis, comorbidities were independently associated with the 3 end points (P≤.001), and fragility was independently associated with all-cause death and the composite end point (P<.001) in HFmrEF. CONCLUSION: Comorbidities and fragility are independent predictors of outcomes in ambulatory patients with HFmrHF and should be considered in the routine clinical assessment of HFmrEF.

Weight Loss in Obese Patients With Heart Failure.

BACKGROUND: In heart failure (HF), weight loss (WL) has been associated with an adverse prognosis whereas obesity has been linked to lower mortality (the obesity paradox). The impact of WL in obese patients with HF is incompletely understood. Our objective was to explore the prevalence of WL and its impact on long-term mortality, with an emphasis on obese patients, in a cohort of patients with chronic HF. METHODS AND RESULTS: Weight at first visit and the 1-year follow-up and vital status after 3 years were assessed in 1000 consecutive ambulatory, chronic HF patients (72.7% men; mean age 65.8±12.1 years). Significant WL was defined as a loss of ≥5% weight between baseline and 1 year. Obesity was defined as body mass index ≥30 kg/m(2) (N=272). Of the 1000 patients included, 170 experienced significant WL during the first year of follow-up. Mortality was significantly higher in patients with significant WL (27.6% versus 15.3%, P<0.001). In univariable Cox regression analysis, patients with significant WL had 2-fold higher mortality (hazard ratio 1.95 [95% CI 1.39-2.72], P<0.001). In multivariable analysis, adjusting for age, sex, body mass index, New York Heart Association functional class, left ventricular ejection fraction, HF duration, ischemic etiology, diabetes, and treatment, significant WL remained independently associated with higher mortality (hazard ratio 1.89 [95% CI 1.32-2.68], P<0.001). Among obese patients with HF, significant WL was associated with an even more ominous prognosis (adjusted hazard ratio for death of 2.38 [95% CI 1.31-4.32], P=0.004) than that observed in nonobese patients (adjusted hazard ratio 1.83 [95% CI 1.16-2.89], P=0.01). CONCLUSIONS: Weight loss ≥5% in patients with chronic HF was associated with high long-term mortality, particularly among obese patients with HF.

Aging and Heart Rate in Heart Failure: Clinical Implications for Long-term Mortality.

OBJECTIVE: To assess the relationship between resting heart rate and long-term all-cause mortality in ambulatory patients with heart failure (HF) relative to age, considering that although heart rate has been strongly associated with mortality in HF, the influence of age on target heart rate is incompletely characterized. PATIENTS AND METHODS: Consecutive patients in sinus rhythm referred to an ambulatory HF clinic of a university hospital between August 1, 2001, and March 31, 2012, were included. Unadjusted and adjusted Cox regression analyses were performed to assess heart rate as a prognostic marker, both as a continuous variable and after categorization into quintiles. Smooth spline estimates and hazard ratios (HRs) were plotted for 2 age strata (<75 years vs ≥75 years) for each individual heart rate. RESULTS: A total of 1033 patients were included (766 men [74.2%]; mean age, 65.1±12.6 years). During a mean follow-up of 4.6±3.3 years (median, 3.8 years [25th-75th percentile, 1.9-6.9]), 476 patients (46.1%) died. Mortality was associated with a statistically greater heart rate in the total cohort (HR, 1.18; 95% CI, 1.11-1.26; P<.001). From a clinical viewpoint, this means an 18% increased risk for every 10-beats/min elevation in heart rate. The same characteristics were present in the relationship between heart rate assessed after 6 months and long-term mortality (HR, 1.30; 95% CI, 1.20-1.42; P<.001). Overall, the prognostic importance of heart rate in ambulatory patients with HF was largely influenced by patient age. Remarkably, in the elderly population (≥75 years), heart rate below 68 beats/min conferred an increased risk of death, whereas in younger patients, mortality exhibited a declining slope at even the lowest heart rates. CONCLUSION: Our research, if applicable to the prospective management of patients with ambulatory HF, suggests that patients aged 75 years or older have the best outcomes with target heart rates of 68 beats/min; however, younger patients may benefit from lower heart rates, even below 55 beats/min.

Body mass index, body fat, and nutritional status of patients with heart failure: The PLICA study.

BACKGROUND & AIMS: Nutritional assessment may help to explain the incompletely understood obesity paradox in patients with heart failure (HF). Currently, obesity is usually identified by body mass index (BMI). Our objective was to assess the prognostic influence of undernourishment in HF outpatients. METHODS: Two published definitions of undernourishment were used to assess 214 ambulatory HF patients. Definition 1 included albumin, total lymphocyte count, tricipital skinfold (TS), subscapular skinfold, and arm muscle circumference (AMC) measurements (≥2 below normal considered undernourishment). Definition 2 included TS, AMC, and albumin (≥1 below normal considered undernourishment). Patients were also stratified by BMI and body fat percentage and followed for 2 years. All-cause death or HF hospitalization was the primary endpoint. RESULTS: Based on BMI strata, among underweight patients, 60% and 100% were undernourished by Definitions 1 and 2, respectively (31% and 44% among normal-weight, 4% and 11% among overweight, and 0% and 3% among obese patients, respectively, according to the two definitions). The most prevalent undernourishment type was marasmus-like (18% of the total cohort). Undernourishment by both definitions was significantly associated with lower event-free survival. Following multivariable analysis, age, NYHA functional class, NTproBNP, and undernourishment (hazard ratio [HR] 2.25 [1.11-4.56] and 2.24 [1.19-4.21] for Definitions 1 and 2, respectively) remained in the model. In this cohort, BMI and percentage of body fat did not independently predict 2-year event-free survival. CONCLUSIONS: Nutritional status is a key prognostic factor in HF above and beyond BMI and percentage of body fat. Patients in normal BMI range and even in overweight and obese groups showed undernourishment. The high mortality observed in undernourishment, infrequent in high BMI patients, may help to partly explain the obesity paradox. Proper undernourishment assessment should become routine in patients with HF.

Fragility is a key determinant of survival in heart failure patients.

BACKGROUND: Heart failure (HF) is a chronic condition with poor prognosis, and has a high prevalence among older adults. Due to older age, fragility is often present among HF patients. However, even young HF patients show a high degree of fragility. The effect of fragility on long-term prognosis in HF patients, irrespective of age, remains unexplored. The aim of this study was to assess the influence of fragility on long-term prognosis in outpatients with HF. METHODS AND RESULTS: At least one abnormal evaluation among four standardized geriatric scales was used to identify fragility. Predefined criteria for such scales were: Barthel Index, <90; OARS scale, <10 in women and <6 in men; Pfeiffer Test, >3 (± 1, depending on educational grade); and ≥ 1 positive response for depression on the abbreviated Geriatric Depression Scale (GDS). We assessed 1314 consecutive HF outpatients (27.8% women, mean age years 66.7 ± 12.4 years with different etiologies. Fragility was detected in 581 (44.2%) patients. 626 deaths occurred during follow-up; the median follow-up was 3.6 years [P25-P75: 1.8-6.7] for the total cohort, and 4.9 years [P25-P75: 2.5-8.4] for living patients. Fragility and its components were significantly associated with decreased survival by univariate analysis. In a comprehensive multivariable Cox regression analysis, fragility remained independently associated with survival in the entire cohort, and in age and left ventricular ejection fraction subgroups. CONCLUSION: Fragility is a key determinant of survival in ambulatory patients with HF across all age strata.

Soluble ST2 serum concentration and renal function in heart failure.

BACKGROUND: Soluble ST2 (sST2) provides important prognostic information in patients with heart failure (HF). How sST2 serum concentration is related to renal function is uncertain. We evaluated the association between sST2 and renal function and compared its prognostic value in HF patients with renal insufficiency. METHODS AND RESULTS: Patients (n = 879; median age 70.4 years; 71.8% men) were divided into 3 subgroups according to estimated glomerular filtration rate (eGFR): ≥60 mL/min/1.73 m(2) (n = 337); 30-59 mL/min/1.73 m(2) (n = 352); and <30 mL/min/1.73 m(2) (n = 190). sST2 (rho = -0.16; P < .001), N-terminal pro-B-type natriuretic peptide (rho = -0.40; P < .001), and high-sensitivity cardiac troponin T (rho = -0.47; P < .001) inversely correlated with eGFR. All-cause mortality was the primary end point. During a median follow-up of 3.46 years, 312 patients (35%) died, 246 of them from the subgroup of 542 patients with eGFR <60 mL/min/1.73 m(2) (45%). Biomarker combination including sST2 showed best discrimination, calibration, and reclassification metrics in renal insufficiency patients (net reclassification improvement 16.6 [95% confidence interval (CI) 8.1-25; P < .001]; integrated discrimination improvement 4.2 [95% CI 2.2-6.2; P < .001]). Improvement in reclassification was higher in these patients than in the total cohort. CONCLUSIONS: The prognostic value of sST2 was not influenced by renal function. On top of other biomarkers, sST2 improved long-term prediction in patients with renal insufficiency even more than in the total cohort.

Effect of fragility on quality of life in patients with heart failure.

Heart failure (HF) is a chronic disease that frequently causes quality of life (QoL) impairment. We aimed to evaluate whether fragility affects QoL perception in outpatients with HF across age strata. The Minnesota Living with Heart Failure Questionnaire (MLWHFQ) was used to assess QoL, and fragility was defined according to basic standardized geriatric scales. Predefined criteria for such scales were scores of Barthel index <90, Older Americans' Resources and Services scale <10 in women and <6 in men, and Pfeiffer test >3 (±1 depending on educational grade) and ≥1 positive depression response on the abbreviated Geriatric Depression Scale. We evaluated 1,405 consecutive outpatients with HF (27.8% women, median age 69 years [twenty-fifth to seventy-fifth percentiles: 59 to 76 years]). Fragility, defined as at least 1 abnormal evaluation, was detected in 621 patients (44.2%). A positive depression response on the abbreviated Geriatric Depression Scale was the most prevalent (31.2%) component of fragility. We found a strong correlation between MLWHFQ score and the presence of fragility and all fragility components (all p <0.001). These associations prevailed in both younger (<75 years) and older patients (≥75 years; all p values <0.001 except for Pfeiffer test in younger patients [p = 0.007]). In multivariate regression analysis, QoL remained significantly associated with fragility after adjustment for age, gender, etiology of HF, left ventricular ejection fraction, New York Heart Association functional class, co-morbidities, and HF treatment, in both younger and older patients (p <0.001). In conclusion, MLWHFQ, a specific HF QoL questionnaire, is significantly influenced by fragility regardless of age.

Head-to-head comparison of high-sensitivity troponin T and sensitive-contemporary troponin I regarding heart failure risk stratification.

BACKGROUND: High-sensitivity assays for cardiac troponins have recently become available, increasing the value of troponins in heart failure (HF) prognostication. We head-to-head compared the prognostic significance of high-sensitivity cardiac troponin T (hs-cTnT) and sensitive-contemporary cardiac troponin I (sc-cTnI) in an outpatient HF population. METHODS: We studied 876 patients, mainly of ischemic etiology (52.1%). Median left ventricular ejection fraction was 34%. Median follow-up was 3.45 years. Comprehensive statistical measurements of performance (discrimination, calibration, and reclassification) were obtained. RESULTS: hs-cTnT was ubiquitous in the patient cohort; sc-cTnI was detected in 276 patients (31.5%). During follow-up 311 patients died. According to multivariable Cox regression analysis, both hs-cTnT (HR 2.09, 95% CI 1.46-2.99, P<0.001) and sc-cTnI (HR 1.61, 95% CI 1.24-2.08, P<0.001) remained independent predictors of all cause and cardiovascular mortality. Using the best predictive cut-off point for both troponins calibration was better for hs-cTnT, which also reclassified a larger number of patients (NRI 9.0 [2.5;15.5] P = 0.007). The higher sensitivity of hs-cTnT permitted the identification of almost the double of deaths. CONCLUSION: Both hs-cTnT and sc-cTnI predict mortality in a real-life cohort of ambulatory HF patients. However, hs-cTnT showed globally better measures of performance and identified a higher proportion of decedents during follow-up.

Quality of life monitoring in ambulatory heart failure patients: temporal changes and prognostic value.

AIMS: Heart failure (HF) is a chronic condition that typically affects a patient's quality of life (QoL). Little is known about long-term QoL monitoring in HF. This study aimed to evaluate the temporal changes and prognostic value of QoL assessment in a real-life cohort of HF patients. METHODS AND RESULTS: The Minnesota Living with Heart Failure Questionnaire was used to monitor QoL at baseline and at 1, 3, and 5 years for 1151 consecutive patients {71.7% men, median age 69 years [25th-75th percentiles (P(25)-P(75)) 59-76]} in an HF unit. Follow-up for prognosis assessment was extended to 6 years. The number of answered questionnaires was 1151 at baseline, 746 at 1 year, 268 at 3 years, and 240 at 5 years. QoL scores showed a steep decrease (indicating QoL improvement) during the first year [29 (P(25)-P(75) 16-43) at baseline vs. 15 (P(25)-P(75) 8-27) at 1 year, P < 0.001], which was tempered, yet significant up to 5 years [12 (P(25)-P(75) 7-23) at 3 years vs. 10 (P(25)-P(75) 5-21) at 5 years, P = 0.012]. We recorded 457 deaths during follow-up. In a comprehensive multivariable Cox regression analysis, baseline QoL remained a significant prognosticator during follow-up [hazard ratio (HR)(Cox) for death 1.012, 95% confidence interval 1.006-1.018, P < 0.001]. QoL monitoring showed that a score increase ≥10% between consecutive assessments stratified high-risk patients within the next 12 months (P = 0.008). CONCLUSION: Both baseline and follow-up QoL monitoring were useful for patient risk stratification in a real-life HF cohort. Worse QoL may warn of a worse prognosis. Widespread QoL monitoring in routine clinical practice is recommended.

The obesity paradox in heart failure: is etiology a key factor?

BACKGROUND: Obesity is paradoxically associated with survival in patients with heart failure (HF). Our objective was to assess whether the relationship between body mass index (BMI) and long-term survival is associated with HF etiology (ischemic vs. non-ischemic) in a cohort of ambulatory HF patients. METHODS: BMI and survival status after a median follow-up of 6.1 years (IQR 2.2-7.8) were available for 504 patients (73% men; median age 68 years [IQR 58-74]). Fifty-nine percent of patients had ischemic etiology. Median left ventricular ejection fraction (LVEF) was 30% (IQR 23-39.7%). Most patients were in NYHA functional class II (51%) or III (42%). Patients were divided into four groups according to BMI: low weight (BMI < 20.5 kg/m(2)), normal weight (BMI 20.5 to < 25.5 kg/m(2)), overweight (BMI 25.5 to < 30 kg/m(2)), and obese (BMI ≥ 30 kg/m(2)). RESULTS: Mortality differed significantly across the BMI strata in non-ischemic patients (log-rank p < 0.0001) but not in ischemic patients. Using normal weight patients as a reference, hazard ratios for low weight, overweight, and obese patients were 2.08 (1.16-3.75, p = 0.014), 0.88 (0.54-1.43, p = 0.60), and 0.49 (0.28-0.86, p = 0.01), respectively, for non-ischemic patients and 1.19 (0.48-2.97, p = 0.71), 0.88 (0.61-1.27, p = 0.48), and 0.96 (0.66-1.41, p = 0.85), respectively, for ischemic patients. After adjusting for age, sex, NYHA functional class, LVEF, co-morbidities, and treatment, BMI remained an independent predictor of survival in non-ischemic patients. CONCLUSION: Over long-term follow-up of ischemic and non-ischemic HF, the obesity paradox was only observed in patients with non-ischemic HF.

Depression, antidepressants, and long-term mortality in heart failure.

BACKGROUND: This study was designed to assess whether depression and the use of antidepressants were related to long-term mortality in heart failure. METHODS: Heart failure outpatients (n=1017) from a specialized tertiary unit in Spain were prospectively studied for a median follow-up of 5.4 years (IQR 3.1-8.1). Depressive symptoms were assessed using an abbreviated version of the geriatric depression scale. Survival rates during the study period (August 2001 until December 2010) and hazard ratios (HR) for mortality were adjusted by several demographic and clinical variables. RESULTS: Depressive symptoms were detected in 302 patients (29.7%) at baseline and 222 (21.8%) de novo during follow-up; 304 patients (29.9%) received at least one prescription of antidepressants, mainly selective serotonin reuptake inhibitors (92.8%); 441 patients (43.4%) died. In a multivariate Cox proportional hazard model, depression was associated with an increased all-cause (HR, 1.39; 95% CI, 1.15-1.68), but not cardiovascular, mortality risk after adjustment for several demographic and clinical confounders. The use of any antidepressant was not independently associated with mortality (HR, 0.89; 95% CI, 0.71-1.13), but benzodiazepines showed a protective role (HR, 0.70; 95% CI, 0.57-0.87). On the contrary, fluoxetine prescriptions, but not duration of fluoxetine treatment, were associated with increased mortality (HR, 1.66; 95% CI, 1.13-2.44). CONCLUSIONS: Depressive symptoms are associated with long-term mortality, but the use of antidepressants and benzodiazepines is safe regarding survival in HF patients, although further research is needed considering individual antidepressants separately.

Statins in heart failure: the paradox between large randomized clinical trials and real life.

OBJECTIVE: To assess the relationship between statins and prognosis in ischemic and nonischemic patients with heart failure (HF) in a real-life cohort followed up for a long period. PATIENTS AND METHODS: This prospective study included 960 patients with HF with preserved or depressed left ventricular ejection fraction (LVEF), irrespective of HF etiology, who were referred to the HF clinic of a university hospital between August 1, 2001, and December 31, 2008. The patients were followed up for a maximum of 9.1 years (median, 3.7 years), and survival in ischemic and nonischemic patients was determined. RESULTS: Median age was 69 years, and median LVEF was 31%. Of the 960 patients, 532 (55.4%) had ischemic HF etiology, and most received angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (846; 88.1%) and ß-blockers (776; 80.8%). Patients with HF of ischemic origin were more often treated with statins (P<.001). During follow-up, 440 patients (45.8%) died. Statin therapy was associated with significantly improved survival (hazard ratio, 0.45 [95% confidence interval, 0.37-0.54]; P<.001). After adjustment for HF prognostic factors (age, sex, cholesterol level, New York Heart Association class, HF etiology, LVEF, body mass index, HF duration, atrial fibrillation, implantable cardioverter-defibrillator therapy, and medicines), statins remained significantly associated with lower mortality risk in both ischemic (P=.007) and nonischemic (P=.002) patients. CONCLUSION: In contrast to results of large randomized trials, statins were independently and significantly associated with lower mortality risk in our real-life HF cohort, including patients with nonischemic HF etiology.

Mortality and cause of death in patients with heart failure: findings at a specialist multidisciplinary heart failure unit.

INTRODUCTION AND OBJECTIVES: Heart failure mortality is similar to or even higher than that due to various cancers. It is usually associated with disease progression, though sudden death has also been reported as a frequent cause of mortality. The objectives of this study were to investigate mortality and its causes in outpatients with heart failure of different etiologies who were treated in a specialist multidisciplinary unit, and to identify associated factors. METHODS: The follow-up cohort study (median duration 36 months) involved 960 patients (70.9% male; median age 69 years; ejection fraction 31%; and the majority had an ischemic etiology and were in functional class II or III). RESULTS: Overall, 351 deaths (36.5%) occurred: 230 due to cardiovascular causes (65.5%), mainly heart failure (33.2%) and sudden death (16%); 94 due to non-cardiovascular causes (26.8%), mainly malignancies (10.5%) and septic processes (6.8%); and 27 (7.7%) due to unknown causes. Mortality was independently associated with age, sex, functional class, ejection fraction, time since symptom onset, ischemic etiology, diabetes, creatinine clearance rate, peripheral vascular disease, fragility, and the absence of treatment with an angiotensin-converting enzyme inhibitor or angiotensin-II receptor blocker, beta-blockers, statins or antiplatelet agents. The principal factor associated with cardiovascular death was an ischemic etiology. No factor studied clearly predicted sudden death. CONCLUSIONS: Even though mortality in patients treated at a specialist heart failure unit was not low, a quarter died from non-cardiovascular causes. The principal factor associated with cardiovascular death was an ischemic etiology. Only 5.8% of the study population experienced sudden death.

Mortalidad y causas de muerte en pacientes con insuficiencia cardiaca: experiencia de una unidad especializada multidisciplinaria / Mortality and cause of death in patients with heart failure: findings at a specialist multidisciplinary heart failure unit

Introducción y objetivos. La mortalidad de la insuficiencia cardiaca es similar o incluso superior a la de muchos cánceres. Suele ocurrir por progresión de la enfermedad, aunque la muerte súbita se ha descrito como una causa frecuente. El objetivo es evaluar la mortalidad y sus causas en una población ambulatoria de pacientes con insuficiencia cardiaca de etiología diversa tratados en una unidad especializada multidisciplinaria y analizar los factores asociados con ellas. Métodos. Estudio de seguimiento de cohorte (mediana, 36 meses) de 960 pacientes (el 70,9% varones; mediana de edad, 69 años; mayoritariamente de etiología isquémica, con fracción de eyección del 31% y en clase funcional fundamentalmente II y III). Resultados. Se registraron 351 fallecimientos (36,5%): 230 de causa cardiovascular (65,5%), fundamentalmente por insuficiencia cardiaca (33,2%) y muerte súbita (16%), 94 de causa no cardiovascular (26,8%), fundamentalmente neoplasias (10,5%) y procesos sépticos (6,8%), y 27 (7,7%) de causa desconocida. Mostraron relación independiente con la mortalidad: edad, sexo, clase funcional, fracción de eyección, tiempo de evolución, etiología isquémica, diabetes mellitus, aclaramiento de creatinina, vasculopatía periférica, fragilidad y ausencia de tratamiento con inhibidores de la enzima de conversión de angiotensina o antagonistas de los receptores de la angiotensina II, bloqueadores beta, estatinas y antiagregantes. El factor principal asociado a muerte cardiovascular fue la etiología isquémica. No hallamos ningún factor predictor claramente determinante de muerte súbita. Conclusiones. Aunque la mortalidad de los pacientes atendidos en una unidad especializada de insuficiencia cardiaca no fue baja, una cuarta parte falleció de causa no cardiovascular. El principal factor asociado a muerte cardiovascular fue la etiología isquémica. La muerte súbita afectó sólo al 5,8% de la población (AU)

Introduction and objectives. Heart failure mortality is similar to or even higher than that due to various cancers. It is usually associated with disease progression, though sudden death has also been reported as a frequent cause of mortality. The objectives of this study were to investigate mortality and its causes in outpatients with heart failure of different etiologies who were treated in a specialist multidisciplinary unit, and to identify associated factors. Methods. The follow-up cohort study (median duration 36 months) involved 960 patients (70.9% male; median age 69 years; ejection fraction 31%; and the majority had an ischemic etiology and were in functional class II or III). Results. Overall, 351 deaths (36.5%) occurred: 230 due to cardiovascular causes (65.5%), mainly heart failure (33.2%) and sudden death (16%); 94 due to noncardiovascular causes (26.8%), mainly malignancies (10.5%) and septic processes (6.8%); and 27 (7.7%) due to unknown causes. Mortality was independently associated with age, sex, functional class, ejection fraction, time since symptom onset, ischemic etiology, diabetes, creatinine clearance rate, peripheral vascular disease, fragility, and the absence of treatment with an angiotensin-converting enzyme inhibitor or angiotensin-II receptor blocker, betablockers, statins or antiplatelet agents. The principal factor associated with cardiovascular death was an ischemic etiology. No factor studied clearly predicted sudden death. Conclusions. Even though mortality in patients treated at a specialist heart failure unit was not low, a quarter died from non-cardiovascular causes. The principal factor associated with cardiovascular death was an ischemic etiology. Only 5.8% of the study population experienced sudden death (AU)

Effectiveness of a geriatric intervention in primary care: a randomized clinical trial.

OBJECTIVE: To assess the effectiveness of an intervention after comprehensive geriatric assessment (CGA) in reducing morbidity and mortality in patients over 74 years in primary care. METHODS: Randomized controlled trial with 18 months of follow-up. Patients in the control group (CG) followed usual care. Patients in the intervention group (IG) were classified as at risk or non-risk of frailty based on the CGA. Patients at non-risk of frailty in the IG were provided with recommendations about healthy habits and adherence to treatment in group sessions, while patients at risk of frailty were visited individually by a geriatrician. RESULTS: Six hundred and twenty patients were randomized to the IG (49.7%) or to the CG (50.3%), 83.2% completed follow-up. Cox's proportional hazards model showed as covariates the study group (hazard ratio [HR] 0.58; 95% confidence interval [CI] 0.28-1.22), risk of frailty (HR 1.33; 95% CI 0.71-2.51) and the interaction between both (HR 3.08; 95% CI 1.22-7.78). Forty-nine percent of the patients in the IG and 43% in the CG were at risk of frailty at baseline. At the end of the study, 27.9% of the IG and 13.5% of the CG had reversed their initial at risk of frailty status (P = 0.027). Multivariate predictors of reversible risk of frailty were younger age, not being at risk of depression, low consumption of medications and the intervention itself. CONCLUSIONS: A specific intervention in patients over 74 years attended in primary care reduces morbidity and mortality in patients at risk of frailty and increases the proportion of patients that reversed their initial status at risk of frailty.

Prognostic implication of frailty and depressive symptoms in an outpatient population with heart failure.

INTRODUCTION AND OBJECTIVES: Heart failure patients have high levels of frailty and dependence. Our aim was to determine the impact of frailty and depressive symptoms on the 1-year mortality rate and the rate of hospitalization for heart failure during a follow-up period of 1 year. METHODS: All patients underwent geriatric evaluation, and frailty and depressive symptoms were identified. The study included 622 patients (72.5% male; median age, 68 years; 92% in New York Heart Association class II or III; and median ejection fraction, 30%). RESULTS: During follow-up, 60 patients (9.5%) died and 101 (16.2%) were hospitalized for heart failure. Overall, 39.9% of patients exhibited frailty, while 25.2% had depressive symptoms. There were significant associations between mortality at 1 year and the presence of frailty (16.9% vs. 4.8%; P< .001) and depressive symptoms (15.3% vs. 7.7%; P=.006). There was also a significant relationship between heart failure hospitalization and the presence of frailty (20.5% vs. 13.3%; P=.01). No relationship was found between heart failure hospitalization and depressive symptoms. Frailty was an independent predictor of mortality but not of hospitalization. CONCLUSIONS: Univariate analysis demonstrated significant relationships between frailty and depressive symptoms and mortality at 1 year. In addition, there was a significant relationship between frailty and the need for heart failure hospitalization. However, only frailty showed prognostic value to predict mortality, which was independent of other variables strongly associated to outcome.