Association between a lifestyle score and all-cause mortality: a prospective analysis of the Chilean National Health Survey 2009-2010.

OBJECTIVE: To investigate the association between a lifestyle score and all-cause mortality in the Chilean population. DESIGN: Prospective study. SETTINGS: The score was based on seven modifiable behaviours: salt intake, fruit and vegetable intake, alcohol consumption, sleep duration, smoking, physical activity and sedentary behaviours. 1-point was assigned for each healthy recommendation. Points were summed to create an unweighted score from 0 (less healthy) to 7 (healthiest). According to their score, participants were then classified into: less healthy (0-2 points), moderately healthy (3-4 points) and the healthiest (5-7 points). Associations between the categories of lifestyle score and all-cause mortality were investigated using Cox proportional hazard models adjusted for confounders. Nonlinear associations were also investigated. PARTICIPANTS: 2706 participants from the Chilean National Health Survey 2009-2010. RESULTS: After a median follow-up of 10·9 years, 286 (10·6 %) participants died. In the maximally adjusted model, and compared with the healthiest participants, those less healthy had 2·55 (95 % CI 1·75, 3·71) times higher mortality risk due to any cause. Similar trends were identified for the moderately healthy group. Moreover, there was a significant trend towards increasing the mortality risk when increasing unhealthy behaviours (hazard ratio model 3: 1·61 (95 % CI 1·34, 1·94)). There was no evidence of nonlinearity between the lifestyle score and all-cause mortality. CONCLUSION: Individuals in the less healthy lifestyle category had higher mortality risk than the healthiest group. Therefore, public health strategies should be implemented to promote adherence to a healthy lifestyle across the Chilean population.

Latent class analyses of multimorbidity and all-cause mortality: A prospective study in Chilean adults.

Multimorbidity patterns can lead to differential risks for all-cause mortality. Within the Chilean context, research on morbidity and mortality predominantly emphasizes individual diseases or combinations thereof, rather than specific disease clusters. This study aimed to identify multimorbidity patterns, along with their associations with mortality, within a representative sample of the Chilean population. 3,701 participants aged ≥18 from the Chilean National Health Survey 2009-2010 were included in this prospective study. Multimorbidity patterns were identified from 16 chronic conditions and then classified using latent class analyses. All-cause mortality data were extracted from the Chilean Civil Registry. The association of classes with all-cause mortality was carried out using Cox proportional regression models, adjusting by sociodemographic and lifestyle variables. Three classes were identified: a) Class 1, the healthiest (72.1%); b) Class 2, the depression/cardiovascular disease/cancer class (17.5%); and c) Class 3, hypertension/chronic kidney disease class (10.4%). Classes 2 and 3 showed higher mortality risk than the healthiest class. After adjusting, Class 2 showed 45% higher mortality risk, and Class 3 98% higher mortality risk, compared with the healthiest class. Hypertension appeared to be a critical underlying factor of all-cause morbidity. Particular combinations of chronic diseases have a higher excess risk of mortality than others.

Incidencia y letalidad intrahospitalaria por insuficiencia cardiaca en Chile: ¿Existen diferencias por sexo? / Incidence and hospital mortality due to heart failure. Are there any differences by sex?

Background: Gender may influence the incidence, severity and hospital mortality due to heart failure (HF). Aim: To evaluate the influence of sex on the proportion of patients hospitalized due to heart failure, its incidence and hospital mortality. Methods: Analysis of the hospital discharge database of the Chilean Ministry of Health during 2014. All hospital admissions for HF were considered according to ICD-10 codes, including the discharge diagnosis of congestive HF (I500), left ventricular HF (I501) and non-specified HF (I509). Incidence rates, proportion of discharges due to HF and hospital mortality were calculated according to age and sex. Results: During 2014, there were 1,306,431 discharges from Chilean hospitals. Of these, 125,484 were for cardiovascular disease and 10% of these corresponded to HF (12,825). The incidence rate was slightly higher in men than in women (0.71 and 0.70 per 1,000 admissions respectively). Among patients aged 80 years or more, the prevalence of admissions for HF was higher in women (19.1 and 15.9% respectively, p < 0.01). Hospital mortality was also higher in women (9.7 and 8.6% respectively, p = 0.03). The factors associated with a higher hospital mortality were an age over 80 years (Odds Ratio (OR) 2.11; 95% confidence intervals (CI): 1.87-2.40; p < 0.01), a length of stay over seven days (OR 1.13; 95%CI: 1.01-1.29; p = 0.04), being admitted to high complexity facilities (OR 1.29; 95%CI: 1.12-1.50; p = 0.01) and being insured by the public national health fund (OR 1.94; 95%CI: 1.54-2.43; p < 0.01). Conclusions: The incidence of hospital admissions due to HF is similar in men and women. There is high hospital mortality, especially in women.

Galectina-3: experiencia en pacientes chilenos con diagnóstico de insuficiencia cardíaca descompensada / Galectin-3 levels in patients hospitalized for decompensated heart failure

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.

[Frailty in patients admitted to hospital with acute decompensated heart failure]. / Factores asociados a fragilidad en pacientes hospitalizados con insuficiencia cardiaca descompensada.

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.

Factores asociados a fragilidad en pacientes hospitalizados con insuficiencia cardiaca descompensada / Frailty in patients admitted to hospital with acute decompensated heart failure

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.