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Neely, Megan L

Mayo Clinic

From the Duke Clinical Research Institute, Durham, NC (C.N.H., S.V.R., L.A.M., M.L.N., E.D.P.); Mayo Clinic, Rochester, MN (M.S.); Saint Luke's Mid America Heart Institute, Kansas City, MO (J.A.S.); Department of Medicine, Washington University School of M

Citations 1

Identification of Hospital Outliers in Bleeding Complications After Percutaneous Coronary Intervention
Hess, Connie N. , McCoy, Lisa A., Spertus, John A. , Krone, Ronald J. , Weaver, W. Douglas, Peterson, Eric D., Rao, Sunil V. , Neely, Megan L, Neely, Megan Lee , Singh, Mandeep , Peterson, Eric D. , Spertus, John A

Circulation: Cardiovascular Quality and Outcomes | November 26, 2014 | Volume: 8 | Issue: 1 | Pages: 15-22

10.1161/circoutcomes.113.000749 Get It

Background— Post-percutaneous coronary intervention (PCI) bleeding complications are an important quality metric. We sought to characterize site-level variation in post-PCI bleeding and explore the influence of patient and procedural factors on hospital bleeding performance. Methods and Results— Hospital-level bleeding performance was compared pre- and postadjustment using the newly revised CathPCI Registry ® bleeding risk model (c-index, 0.77) among 1292 National Cardiovascular Data Registry ® hospitals performing >50 PCIs from 7/2009 to 9/2012 (n=1 984 998 procedures). Using random effects models, outlier sites were identified based on 95% confidence intervals around the hospital’s random intercept. Bleeding 72 hours post-PCI was defined as: arterial access site, retroperitoneal, gastrointestinal, or genitourinary bleeding; intracranial hemorrhage; cardiac tamponade; nonbypass surgery–related blood transfusion with preprocedure hemoglobin ≥8 g/dL; or absolute decrease in hemoglobin value ≥3 g/dL with preprocedure hemoglobin ≤16 g/dL. Overall, the median unadjusted post-PCI bleeding rate was 5.2% and varied among hospitals from 2.6% to 10.4% (5th, 95th percentiles). Center-level bleeding variation persisted after case-mix adjustment (2.8%–9.5%; 5th, 95th percentiles). Although hospitals’ observed and risk-adjusted bleeding ranks were correlated (Spearman ρ: 0.88), individual rankings shifted after risk-adjustment (median Δ rank order: ±91.5; interquartile range: 37.0, 185.5). Outlier classification changed postadjustment for 29.3%, 16.1%, and 26.5% of low-, non-, and high-outlier sites, respectively. Hospital use of bleeding avoidance strategies (bivalirudin, radial access, or vascular closure device) was associated with risk-adjusted bleeding rates. Conclusions— Despite adjustment for patient case-mix, there is wide variation in rates of hospital PCI-related bleeding in the United States. Opportunities may exist for best performers to share practices with other sites.