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Validating the Clinical Outcomes Assessment Program risk model for percutaneous coronary intervention.
YingXing Wu1, Ruyun Jin, Gary L Grunkemeier
1Providence Health System Cardiovascular Study Group, Providence Health System, Portland, OR, USA. yingxing.wu@providence.org
American Heart Journal
|June 20, 2006
Summary
The Clinical Outcomes Assessment Program (COAP) risk model for percutaneous coronary intervention (PCI) mortality was validated in western US hospitals. This study confirms the COAP model’s effectiveness and highlights the need for periodic updates to PCI risk models.
Area of Science:
- Cardiovascular Medicine
- Health Services Research
- Biostatistics
Background:
- A risk model for hospital mortality after percutaneous coronary intervention (PCI) was developed by the Clinical Outcomes Assessment Program (COAP).
- This COAP model was previously validated in northeastern US hospitals.
- Further validation was conducted using data from Providence Health System (PHS) hospitals in western US states.
Purpose of the Study:
- To validate the COAP risk model for hospital mortality after PCI using an independent dataset from PHS hospitals.
- To assess the model's discrimination and calibration in a different patient population and geographic region.
Main Methods:
- A total of 13,124 consecutive PCI procedures from 6 PHS hospitals (July 2001-June 2004) were analyzed.
- Model discrimination was tested using the c-index.
- Model calibration was assessed using the Hosmer-Lemeshow test, le Cessie-van Houwelingen-Copas test, and cumulative sum method.
Main Results:
- Patient demographics and overall mortality (1.4% in PHS vs. 1.6% in COAP) were similar between the COAP and PHS datasets.
- The COAP model demonstrated excellent discrimination with a c-index of 0.893 (95% CI: 0.859-0.928) when applied to PHS data.
- Good global goodness of fit was observed, indicating successful calibration of the model.
Conclusions:
- The COAP risk model for PCI-related hospital mortality was successfully validated using PHS data.
- Periodic updates of PCI risk models are essential to reflect advancements in technology and changes in patient profiles.
- Objective, clearly defined, and easily obtainable predictors are crucial for the transportability of PCI risk models.