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Validation of Mayo clinic risk adjustment model for in-hospital complications after percutaneous coronary interventions, using the National Heart, Lung, and Blood Institute dynamic registry

Mandeep Singh, MD^*,*, Charanjit S. Rihal, MD^*, Faith Selzer, PhD, Kevin E. Kip, PhD, Katherine Detre, MD, DrPH and David R. Holmes, Jr, MD^*

^* Division of Cardiovascular Diseases and Internal Medicine, Mayo Clinic, Rochester, Minnesota, USA
Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

View larger version (17K): [in a new window]   Figure 1 Observed major procedural complication rate by integer score categories in the NHLBI Dynamic Registry. The integers are proportional to the estimated continuous coefficient from the Mayo Clinic risk score logistic model. The values from the integer risk score were categorized as follows: very low risk (0 to 5), low risk (6 to 8), moderate risk (9 to 11), high risk (12 to 14), and very high risk (15). There was a linear association between incident procedural events and integer risk score categories (test for trend p < 0.001).