title: Predicting long-term mortality after a myocardial infarction from routine hospital data.
abstract: Among 528 patients under 67 years of age discharged alive after a myocardial infarction (MI), the cumulative survival rates after 3, 5, and 7 years were 84.1%, 75.9% and 68.6%, respectively. Compared with the "normal" population, the relative mortality risk was 4.8 for the first year, 3.1 for the second, and on average 2.1 for the next 5 years. Significant age differences were not observed for relative mortality. A multivariate Cox proportional hazards model showed long-term mortality to be independently related to higher age, a reduced working activity before the MI, previous cardiovascular disease, and a higher inhospital complication score, which was computed by summing eight defined clinical events weighted for severity. The results indicate that a reasonable prediction of long-term survival after a MI can be made from routine hospital data.
authors.affiliation: Institute of Hygiene and Social Medicine, University of Bergen, Norway.
authors.forename: J G
authors.initials: JG
authors.lastname: Maeland
authors.forename: K
authors.initials: K
authors.lastname: Meen
mesh_terms: D000328:Adult; D000368:Aged; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009203:Myocardial Infarction / Q000209:etiology / Q000401:mortality* / Q000503:physiopathology; D009664:Norway; D011379:Prognosis; D011446:Prospective Studies; D012307:Risk Factors; D013997:Time Factors