A risk score to predict in-hospital mortality for percutaneous coronary interventions

Chuntao Wu, Edward L. Hannan, Gary Walford, John A. Ambrose, David Holmes, Spencer B. King, Luther T. Clark, Stanley Katz, Samin Sharma, Robert H. Jones

Research output: Contribution to journalArticle

132 Citations (Scopus)

Abstract

OBJECTIVES: Our purpose was to develop a risk score to predict in-hospital mortality for percutaneous coronary intervention (PCI) using a statewide population-based PCI registry. BACKGROUND: Risk scores predicting adverse outcomes after PCI have been developed from a single or a small group of hospitals, and their abilities to be generalized to other patient populations might be affected. METHODS: A logistic regression model was developed to predict in-hospital mortality for PCI using data from 46,090 procedures performed in 41 hospitals in the New York State Percutaneous Coronary Intervention Reporting System in 2002. A risk score was derived from this model and was validated using 2003 data from New York. RESULTS: The risk score included nine significant risk factors (age, gender, hemodynamic state, ejection fraction, pre-procedural myocardial infarction, peripheral arterial disease, congestive heart disease, renal failure, and left main disease) that were consistent with other reports. The point values for risk factors range from 1 to 9, and the total risk score ranges from 0 to 40. The observed and recalibrated predicted risks in 2003 were highly correlated for all PCI patients as well as for those in the higher-risk subgroup who suffered myocardial infarctions within 24 h before the procedure. The total risk score for mortality is strongly associated with complication rates and length of stay in the 2003 PCI data. CONCLUSIONS: The risk score accurately predicted in-hospital death for PCI procedures using future New York data. Its performance in other patient populations needs to be further studied.

Original languageEnglish (US)
Pages (from-to)654-660
Number of pages7
JournalJournal of the American College of Cardiology
Volume47
Issue number3
DOIs
StatePublished - Feb 7 2006

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Percutaneous Coronary Intervention
Hospital Mortality
Logistic Models
Myocardial Infarction
Population
Peripheral Arterial Disease
Renal Insufficiency
Registries
Heart Diseases
Length of Stay
Hemodynamics
Mortality

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

A risk score to predict in-hospital mortality for percutaneous coronary interventions. / Wu, Chuntao; Hannan, Edward L.; Walford, Gary; Ambrose, John A.; Holmes, David; King, Spencer B.; Clark, Luther T.; Katz, Stanley; Sharma, Samin; Jones, Robert H.

In: Journal of the American College of Cardiology, Vol. 47, No. 3, 07.02.2006, p. 654-660.

Research output: Contribution to journalArticle

Wu, C, Hannan, EL, Walford, G, Ambrose, JA, Holmes, D, King, SB, Clark, LT, Katz, S, Sharma, S & Jones, RH 2006, 'A risk score to predict in-hospital mortality for percutaneous coronary interventions', Journal of the American College of Cardiology, vol. 47, no. 3, pp. 654-660. https://doi.org/10.1016/j.jacc.2005.09.071
Wu, Chuntao ; Hannan, Edward L. ; Walford, Gary ; Ambrose, John A. ; Holmes, David ; King, Spencer B. ; Clark, Luther T. ; Katz, Stanley ; Sharma, Samin ; Jones, Robert H. / A risk score to predict in-hospital mortality for percutaneous coronary interventions. In: Journal of the American College of Cardiology. 2006 ; Vol. 47, No. 3. pp. 654-660.
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