[Predictors of hospital death and prolonged hospitalization in patients with cardiac failure in Chilean hospitals].
BACKGROUND
Heart failure (HF) is one of the most common causes for hospital admission.


OBJECTIVE
To evaluate clinical predictors of mortality and prolonged hospital stay among patients admitted for HF in Chilean hospitals.


METHODS
Prospective registry of 14 centers. Patients admitted for HF in functional class III and IV were included. Epidemiological, clinical data, functional class, decompensation cause, electrocardiogram, echocardiogram, treatment and evolution were registered. The endpoint was hospital death and hospital stay greater than 10 days.


RESULTS
Data from 646 patients (mean age 69+/-13 years, 56% men) was collected. The main etiologies of HF were hypertensive in 29.6%, ischemic in 27.1% and valvular in 20%. Mean hospital stay was 10+/-9 days and mortality was 5.6%. Independent predictors of death and prolonged hospital stay were serum sodium <130 mEq/L at admission (odds ratio (OR) 2.6, confidence interval (CI) = 1.2-5.9), serum albumin <3 g/dL (OR 3.2, CI= 1.42-7.2) and a history of hypertension (OR 1.98, CI = 1.1-3.85). The model predicted correctly the occurrence of the endpoint in 67% of cases.


CONCLUSIONS
In patients admitted for worsening HF, low serum sodium, decreased serum albumin on admission and a history of hypertension increase the risk for in-hospital death and prolonged hospital stay.
Castro G
Pablo
P
Departamento Enfermedades Cardiovasculares, Pontificia Universidad Católica de Chile, Santiago, Chile. pcastro@med.puc.cl
Verdejo P
Hugo
H
Vukasovic R
José Luis
JL
Garcés
Eduardo
E
González
Ilse
I
D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002677:Chile / Q000453:epidemiology; D005260:Female; D006333:Heart Failure / Q000401:mortality*; D017052:Hospital Mortality; D006801:Humans; D007902:Length of Stay / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D011446:Prospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D017678:Sex Distribution