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Heart ; 88(1): 61-6, 2002 Jul.
Article in English | MEDLINE | ID: mdl-12067947

ABSTRACT

OBJECTIVE: To evaluate predictors of long term prognosis in infective endocarditis. DESIGN: Retrospective cohort study. SETTING: Tertiary care centre. PATIENTS: 212 consecutive patients with infective endocarditis between 1980 and 1995 MAIN OUTCOME MEASURES: Overall and cardiac mortality; event-free survival; and the following events: recurrence, need for late valve surgery, bleeding and embolic complications, cerebral dysfunction, congestive heart failure. RESULTS: During a mean follow up period of 89 months (range 1-244 months), 56% of patients died. In 180 hospital survivors, overall and cardiac mortality amounted to 45% and 24%, respectively. By multivariate analysis, early surgical treatment, infection by streptococci, age < 55 years, absence of congestive heart failure, and > 6 symptoms or signs of endocarditis during active infection were predictive of improved overall long term survival. Independent determinants of event-free survival were infection by streptococci and age < 55 years. Event-free survival was 17% at the end of follow up both in medically-surgically treated patients and in medically treated patients. CONCLUSIONS: Long term survival following infective endocarditis is 50% after 10 years and is predicted by early surgical treatment, age < 55 years, lack of congestive heart failure, and the initial presence of more symptoms of endocarditis.


Subject(s)
Endocarditis, Bacterial/drug therapy , Endocarditis, Bacterial/surgery , Adolescent , Adult , Aged , Aged, 80 and over , Brain Diseases/etiology , Brain Diseases/mortality , Cohort Studies , Disease-Free Survival , Embolism/etiology , Embolism/mortality , Europe/epidemiology , Female , Heart Failure/etiology , Heart Valve Diseases/etiology , Heart Valve Diseases/surgery , Hospital Mortality , Humans , Male , Middle Aged , Recurrence , Retrospective Studies , Risk Factors , Staphylococcal Infections/complications , Streptococcal Infections/complications , Survival Analysis , Time Factors
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