Mayo Clinic Risk Score for Percutaneous Coronary Intervention Predicts In-Hospital Mortality in Patients Undergoing Coronary Artery Bypass Graft Surgery | Zendy

Mandeep Singh | Zendy; Bernard J. Gersh | Zendy; Shuang Li | Zendy; John S. Rumsfeld | Zendy; John A. Spertus | Zendy; Sean M. O’Brien | Zendy; Rakesh M. Suri | Zendy; Eric D. Peterson | Zendy

Open Access

Mayo Clinic Risk Score for Percutaneous Coronary Intervention Predicts In-Hospital Mortality in Patients Undergoing Coronary Artery Bypass Graft Surgery

Author(s) -

Mandeep Singh,

Bernard J. Gersh,

Shuang Li,

John S. Rumsfeld,

John A. Spertus,

Sean M. O’Brien,

Rakesh M. Suri,

Eric D. Peterson

Publication year - 2008

Publication title -

circulation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.795

H-Index - 607

eISSN - 1524-4539

pISSN - 0009-7322

DOI - 10.1161/circulationaha.107.711523

Subject(s) - medicine , percutaneous coronary intervention , myocardial infarction , cardiology , coronary artery disease , coronary artery bypass surgery , confidence interval , bypass surgery , surgery , ejection fraction , population , diabetes mellitus , heart failure , artery , environmental health , endocrinology

Current risk models predict in-hospital mortality after either coronary artery bypass graft surgery or percutaneous coronary interventions separately, yet the overlap suggests that the same variables can define the risks of alternative coronary reperfusion therapies. Our goal was to seek a preprocedure risk model that can predict in-hospital mortality after either percutaneous coronary intervention or coronary artery bypass graft surgery.

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