Development and validation of a risk calculator for prediction of cardiac risk after surgery

Prateek K. Gupta, Himani Gupta, Abhishek Sundaram, Manu Kaushik, Xiang Fang, Weldon J. Miller, Dennis J. Esterbrooks, Claire B. Hunter, Iraklis I. Pipinos, Jason M. Johanning, Thomas G. Lynch, R. Armour Forse, Syed M. Mohiuddin, Aryan N. Mooss

Research output: Contribution to journalArticle

272 Citations (Scopus)

Abstract

Bacground-: Perioperative myocardial infarction or cardiac arrest is associated with significant morbidity and mortality. The Revised Cardiac Risk Index is currently the most commonly used cardiac risk stratification tool; however, it has several limitations, one of which is its relatively low discriminative ability. The objective of the present study was to develop and validate a predictive cardiac risk calculator. Methods and Results-: Patients who underwent surgery were identified from the American College of Surgeons' 2007 National Surgical Quality Improvement Program database, a multicenter (>250 hospitals) prospective database. Of the 211 410 patients, 1371 (0.65%) developed perioperative myocardial infarction or cardiac arrest. On multivariate logistic regression analysis, 5 predictors of perioperative myocardial infarction or cardiac arrest were identified: type of surgery, dependent functional status, abnormal creatinine, American Society of Anesthesiologists' class, and increasing age. The risk model based on the 2007 data set was subsequently validated on the 2008 data set (n=257 385). The model performance was very similar between the 2007 and 2008 data sets, with C statistics (also known as area under the receiver operating characteristic curve) of 0.884 and 0.874, respectively. Application of the Revised Cardiac Risk Index to the 2008 National Surgical Quality Improvement Program data set yielded a relatively lower C statistic (0.747). The risk model was used to develop an interactive risk calculator. Conclusions-: The cardiac risk calculator provides a risk estimate of perioperative myocardial infarction or cardiac arrest and is anticipated to simplify the informed consent process. Its predictive performance surpasses that of the Revised Cardiac Risk Index.

Original languageEnglish
Pages (from-to)381-387
Number of pages7
JournalCirculation
Volume124
Issue number4
DOIs
StatePublished - Jul 26 2011

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Heart Arrest
Myocardial Infarction
Quality Improvement
Databases
Informed Consent
ROC Curve
Creatinine
Logistic Models
Regression Analysis
Morbidity
Mortality
Datasets

All Science Journal Classification (ASJC) codes

  • Physiology (medical)
  • Cardiology and Cardiovascular Medicine

Cite this

Development and validation of a risk calculator for prediction of cardiac risk after surgery. / Gupta, Prateek K.; Gupta, Himani; Sundaram, Abhishek; Kaushik, Manu; Fang, Xiang; Miller, Weldon J.; Esterbrooks, Dennis J.; Hunter, Claire B.; Pipinos, Iraklis I.; Johanning, Jason M.; Lynch, Thomas G.; Forse, R. Armour; Mohiuddin, Syed M.; Mooss, Aryan N.

In: Circulation, Vol. 124, No. 4, 26.07.2011, p. 381-387.

Research output: Contribution to journalArticle

Gupta, PK, Gupta, H, Sundaram, A, Kaushik, M, Fang, X, Miller, WJ, Esterbrooks, DJ, Hunter, CB, Pipinos, II, Johanning, JM, Lynch, TG, Forse, RA, Mohiuddin, SM & Mooss, AN 2011, 'Development and validation of a risk calculator for prediction of cardiac risk after surgery', Circulation, vol. 124, no. 4, pp. 381-387. https://doi.org/10.1161/CIRCULATIONAHA.110.015701
Gupta, Prateek K. ; Gupta, Himani ; Sundaram, Abhishek ; Kaushik, Manu ; Fang, Xiang ; Miller, Weldon J. ; Esterbrooks, Dennis J. ; Hunter, Claire B. ; Pipinos, Iraklis I. ; Johanning, Jason M. ; Lynch, Thomas G. ; Forse, R. Armour ; Mohiuddin, Syed M. ; Mooss, Aryan N. / Development and validation of a risk calculator for prediction of cardiac risk after surgery. In: Circulation. 2011 ; Vol. 124, No. 4. pp. 381-387.
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AU - Hunter, Claire B.

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AU - Lynch, Thomas G.

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AU - Mohiuddin, Syed M.

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