Predictors of Long-Term Survival After Coronary Artery Bypass Grafting Surgery
Author(s) -
David M. Shahian,
Sean M. O’Brien,
Shubin Sheng,
Frederick L. Grover,
John E. Mayer,
Jeffrey P. Jacobs,
Jocelyn M. Weiss,
Elizabeth R. DeLong,
Eric D. Peterson,
William S. Weintraub,
Maria V. GrauSepulveda,
Lloyd W. Klein,
Richard E. Shaw,
Kirk N. Garratt,
Issam Moussa,
Cynthia M. Shewan,
George Dangas,
Fred H. Edwards
Publication year - 2012
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.111.066902
Subject(s) - medicine , proportional hazards model , medicaid , dialysis , surgery , artery , cohort , emergency medicine , health care , economics , economic growth
Most survival prediction models for coronary artery bypass grafting surgery are limited to in-hospital or 30-day end points. We estimate a long-term survival model using data from the Society of Thoracic Surgeons Adult Cardiac Surgery Database and Centers for Medicare and Medicaid Services.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom