Comorbid conditions and outcomes after percutaneous coronary intervention. Issue 11 (8th October 2007)

• Record Type: Journal Article
• Authors: Singh, M; Rihal, C S; Roger, V L; Lennon, R J; Spertus, J; Jahangir, A; Holmes, D R
• Is Part Of: Heart. Volume 94:Issue 11(2008)
• Page Start: 1424
• Page End: 1428
• Publication Date: 2007-10-08
• Subjects: Heart -- Diseases -- Treatment -- Periodicals; Cardiology -- Periodicals; 616.12
• DOI: 10.1136/hrt.2007.126649
• Languages: English
• ISSNs: 1355-6037

Abstract

Abstract : Objective: To evaluate whether adding comorbid conditions to a risk model can help predict in-hospital outcome and long-term mortality after percutaneous coronary intervention (PCI). Design: Retrospective chart review Setting: Academic medical centre. Patients: 7659 patients who had 9032 PCIs. Interventions: PCI performed at Mayo Clinic between 1 January 1999 and 30 June 2004. Main outcome measures: The Mayo Clinic Risk Score (MCRS) and the coronary artery disease (CAD)-specific index for determination of comorbid conditions in all patients. Results: The mean (SD) MCRS score was 6.5 (2.9). The CAD-specific index was 0 or 1 in 46%, 2 or 3 in 30% and 4 or higher in 24%. The rate of in-hospital major adverse cardiovascular events (MACE) increased with higher MCRS and CAD-specific index (Cochran–Armitage test, p<0.001 for both models). The c-statistic for the MCRS for in-hospital MACE was 0.78; adding the CAD-specific index did not improve its discriminatory ability for in-hospital MACE (c-statistic = 0.78; likelihood ratio test, p = 0.29). A total of 707 deaths after dismissal occurred after 7253 successful procedures. The c-statistic for all-cause mortality was 0.69 for the MCRS model alone and 0.75 for the MCRS and CAD-specific indices together (likelihood ratio test, p<0.001), indicating significant improvement in the discriminatory ability. Conclusions: Addition of comorbid conditions to the MCRS adds significant prognostic information for post-dismissal mortality but adds little prognostic information about in-hospital complications after PCI. Such health-status measures should be included in future risk stratification models that predict long-term mortality after PCI.