The value of parental medical records for the prediction of diabetes and cardiovascular disease: a novel method for generating and incorporating family histories

The value of parental medical records for the prediction of diabetes and cardiovascular disease: a novel method for generating and incorporating family histories

Abstract Objective To determine whether data-driven family histories (DDFH) derived from linked EHRs of patients and their parents can improve prediction of patients’ 10-year risk of diabetes and atherosclerotic cardiovascular disease (ASCVD). Materials and Methods A retrospective cohort study using...

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Veröffentlicht in:Journal of the American Medical Informatics Association : JAMIA 2023-11, Vol.30 (12), p.1915-1924
Hauptverfasser: Barak-Corren, Yuval, Tsurel, David, Keidar, Daphna, Gofer, Ilan, Shahaf, Dafna, Leventer-Roberts, Maya, Barda, Noam, Reis, Ben Y
Format: Artikel
Sprache:eng
Schlagworte:
Adult
Atherosclerosis
Cardiovascular Diseases
Diabetes Mellitus
Humans
Medical Records
Parents
Research and Applications
Retrospective Studies
Risk Assessment
Risk Factors
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Zusammenfassung:Abstract Objective To determine whether data-driven family histories (DDFH) derived from linked EHRs of patients and their parents can improve prediction of patients’ 10-year risk of diabetes and atherosclerotic cardiovascular disease (ASCVD). Materials and Methods A retrospective cohort study using data from Israel’s largest healthcare organization. A random sample of 200 000 subjects aged 40–60 years on the index date (January 1, 2010) was included. Subjects with insufficient history (
ISSN:1067-5027
1527-974X
1527-974X
DOI:10.1093/jamia/ocad154