Multivariate Model of Qureshi et al for Predicting In-Hospital Mortality Following a Percutaneous Coronary Intervention (PCI)


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In addition to the simple score described in the previous section, Qureshi et al developed a model based on multivariate logistic regression to identify patients at risk for in-hospital mortality following a percutaneous coronary intervention (PCI). This can help identify patients who require closer monitoring and more aggressive therapy. The authors are from William Beaumont Hospital in Royal Oak, Michigan.

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