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Journal of Cardiovascular Translational Research

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01-06-2016 | Original Article

Improvement in Cardiovascular Risk Prediction with Electronic Health Records

Authors: Mindy M. Pike, Paul A. Decker, Nicholas B. Larson, Jennifer L. St. Sauver, Paul Y. Takahashi, Véronique L. Roger, Walter A. Rocca, Virginia M. Miller, Janet E. Olson, Jyotishman Pathak, Suzette J. Bielinski

Published in: Journal of Cardiovascular Translational Research | Issue 3/2016

Abstract

The aim of this study was to compare the QRISKII, an electronic health data-based risk score, to the Framingham Risk Score (FRS) and atherosclerotic cardiovascular disease (ASCVD) score. Risk estimates were calculated for a cohort of 8783 patients, and the patients were followed up from November 29, 2012, through June 1, 2015, for a cardiovascular disease (CVD) event. During follow-up, 246 men and 247 women had a CVD event. Cohen’s kappa statistic for the comparison of the QRISKII and FRS was 0.22 for men and 0.23 for women, with the QRISKII classifying more patients in the higher-risk groups. The QRISKII and ASCVD were more similar with kappa statistics of 0.49 for men and 0.51 for women. The QRISKII shows increased discrimination with area under the curve (AUC) statistics of 0.65 and 0.71, respectively, compared to the FRS (0.59 and 0.66) and ASCVD (0.63 and 0.69). These results demonstrate that incorporating additional data from the electronic health record (EHR) may improve CVD risk stratification.

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Title: Improvement in Cardiovascular Risk Prediction with Electronic Health Records
Authors: Mindy M. Pike
Paul A. Decker
Nicholas B. Larson
Jennifer L. St. Sauver
Paul Y. Takahashi
Véronique L. Roger
Walter A. Rocca
Virginia M. Miller
Janet E. Olson
Jyotishman Pathak
Suzette J. Bielinski
Publication date: 01-06-2016
Publisher: Springer US
Published in: Journal of Cardiovascular Translational Research / Issue 3/2016
Print ISSN: 1937-5387
Electronic ISSN: 1937-5395
DOI: https://doi.org/10.1007/s12265-016-9687-z

2024 ASCO Annual Meeting

Springer Medicine

Improvement in Cardiovascular Risk Prediction with Electronic Health Records

Abstract

2024 ASCO Annual Meeting

Springer Medicine

Abstract

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