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National cardiovascular data registry model predicts long-term mortality in patients undergoing percutaneous coronary interventions

Cardiology Mar 22, 2021

Agasthi P, Chao CJ, Wang P, et al. - Researchers aimed at determining the ability of the National Cardiovascular Data Registry (NCDR)-based logistic regression model to predict the short- and long-term risk of all-cause mortality in patients undergoing percutaneous coronary intervention (PCI). They enrolled all patients undergoing PCI in the Mayo Clinic Health System in the Mayo Clinic CathPCI registry. Among a total of 17,356 included patients (mean age: 66.9 ± 12.5 years; 71% men) in the final analysis who underwent CABG surgery, the 6-month, 1-year, 2-year, and 5-year all-cause mortality rates were 4.2%, 5.8%, 8.06%, and 14.2%, respectively. For predicting 6-month, 1-year, 2-year, and 5-year all-cause mortality, the NCDR model generated the AUCs of 0.84, 0.82, 0.80, and 0.78, respectively. Overall findings support the capability of the NCDR model in enabling accurate prediction of both short- and long-term all-cause mortality after PCI.

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