Why the study?
Does incorporating socioeconomic status measures into a clinical-based model improve long-term mortality risk prediction in patients after incident myocardial infarction?
Population
1,178 consecutive patients aged ≤65 years discharged from 8 hospitals in central Israel after incident…
Comparison
Extended risk prediction model incorporating… vs Basic risk prediction model including only…
Design
Cohort
Follow-up
13 years
Authors
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Incorporating individual and neighborhood socioeconomic status measures into clinical risk models substantially improves long-term mortality risk prediction after myocardial infarction.
Does incorporating socioeconomic status measures into a clinical-based model improve long-term mortality risk prediction in patients after incident myocardial infarction?
Incorporating individual and neighborhood socioeconomic status measures into clinical risk models substantially improves long-term mortality risk prediction after myocardial infarction.
Molshatzki et al. (2011) studied this question.
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