4.5 Article

Standardization of the Fried frailty phenotype improves cardiovascular disease risk discrimination

期刊

EXPERIMENTAL GERONTOLOGY
卷 119, 期 -, 页码 40-44

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.exger.2019.01.021

关键词

Cardiovascular disease; Frailty; Women; Aging

资金

  1. St. Boniface Hospital Foundation, Winnipeg, Manitoba, Canada

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Background: Standardizing the Fried criteria (S-FC) using cutoffs specific to the patient population improves adverse outcome prediction. However, there is limited evidence to determine if a S-FC assessment can improve discrimination of cardiovascular disease (CVD) risk in middle-aged and older women. Design: The objective of this cross-sectional analysis was to compare the ability of the Fried frailty phenotype criteria (FC) to discriminate between individuals at higher risk for CVD according to the Framingham Risk Score and Rasmussen Disease Score in comparison to the S-FC. Setting: Asper Clinical Research Institute, St. Boniface Hospital Research Centre. Participants: 985 women 55 years of age or older with no previous history of CVD. Measurements: Discrimination of individuals with high CVD risk according to the Framingham and Rasmussen Disease scores was assessed using receiver operating characteristic (ROC) curves, integrated discrimination index (IDI) and net reclassification index (NRI). Results: The S-FC showed superior ability to discriminate CVD risk as assessed by area under the ROC curve (AUROC) based on the Framingham (0.728 vs 0.634, p < 0.001), but not for the Rasmussen (0.594 vs 0.552, p = 0.079) risk score. Net reclassification index identified improved discrimination for both the Framingham (67.9%, p < 0.001) and Rasmussen Disease scores (26.0%, p = 0.003). Integrated discrimination index also identified improved CVD risk discrimination with the Framingham (3.0%, p < 0.001) and Rasmussen Disease scores (1.5%, p < 0.001). Conclusion: In this study, the Fried frailty phenotype better discriminated cardiovascular disease risk when standardized to the study population.

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