Specific comorbidity risk adjustment was a better predictor of 5-year acute myocardial infarction mortality than general methods.
J Clin Epidemiol
; 59(3): 274-80, 2006 Mar.
Article
en En
| MEDLINE
| ID: mdl-16488358
OBJECTIVE: To compare methods of risk adjustment in a population of individuals with acute myocardial infarction (AMI), in order to assist clinicians in assessing patient prognosis. STUDY DESIGN AND SETTING: A historical inception cohort design was established, with follow-up of or=66 years who had an AMI in 1994 or 1995 were selected (n = 4,874). The three risk-adjustment methods were the Ontario AMI prediction rule (OAMIPR), the D'Hoore adaptation of the Charlson Index, and the total number of distinct comorbidities. Logistic regression models were built including each of the adjustment methods, age, sex, socioeconomic status, previous AMI, and cardiac procedures at time of AMI. RESULTS: The OAMIPR had the highest C-statistic and R(2). CONCLUSION: Clinicians are advised to consider the specific comorbidities that are present, not merely their number, and those that emerge over time, not merely those present at the time of the infarct.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Comorbilidad
/
Modelos Logísticos
/
Ajuste de Riesgo
/
Infarto del Miocardio
Tipo de estudio:
Etiology_studies
/
Incidence_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Aged
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
J Clin Epidemiol
Asunto de la revista:
EPIDEMIOLOGIA
Año:
2006
Tipo del documento:
Article
País de afiliación:
Canadá
Pais de publicación:
Estados Unidos