Quality assessment and improvement in interventional cardiology: A position statement of the society of cardiovascular angiography and interventions, Part II: Public reporting and risk adjustment

Overcoming Obstacles in Designing and Sustaining a High-Quality Cardiovascular Procedure Environment

Accurate evaluation of the quality of invasive cardiology procedures requires appraisal of case selection, technical performance, and procedural and clinical outcomes. Regrettably, the medical care delivery system poses a number of obstacles to developing and sustaining a high-quality environment. The purposes of this viewpoint are to summarize the most common impediments, followed to summarize the most common impediments, followed by the optimal ways to design and sustain a quality assurance program to overcome these barriers. A 7-step program to create and implement an effective quality assurance program is outlined.

Modified CHA2DS2-VASc score predicts in-hospital mortality and procedural complications in acute coronary syndrome treated with percutaneous coronary intervention

Background

Current risk prediction models in acute coronary syndrome (ACS) patients undergoing PCI are mathematically complex. This study was undertaken to assess the accuracy of a modified CHA₂DS₂-VASc score, comprised of easily accessible clinical factors in predicting adverse events.

Methods

The National Inpatient Sample (NIS) was queried for ACS patients who underwent PCI between 2010 and 2014. We developed a modified CHA₂DS₂-VASc score for risk prediction in ACS patients. Multivariate mixed effect logistic regression was utilized to study the adjusted risk for adverse outcomes based on the score. The primary outcome evaluated was in-hospital mortality. Secondary outcomes assessed were stroke, respiratory failure, acute kidney injury, all-cause bleeding, pacemaker insertion, vascular complications, length of stay and cost.

Results

There were 252,443 patients admitted with ACS included. Mean age was 62 ± 12 years. The mean CH₃A₂DS-VASc score was 1.6 ± 1.6. The in-hospital mortality rate was 2.5%. CH₃A₂DS-VASc score was highly correlated with increased rate of mortality and all secondary outcomes. ROC curve analysis for association of CH₃A₂DS-VASc score with mortality demonstrates that area under the curve (AUC) = 0.83 (95%C: 0.82–0.84). Stepwise increases in CH₃A₂DS-VASc score correlated with incremental risk, and total score was an independent predictor of mortality (adjusted OR: 1.99 (95%CI: 1.96–2.03) p < 0.001) and all secondary outcomes.

Conclusion

This study supports the applicability of the CH₃A₂DS-VASc score as an accurate risk prediction model for ACS patients undergoing PCI and could supplant more complicated models for quality assurance.

Trends in proportions of hospitals and operators not meeting minimum percutaneous coronary intervention volume standards in Taiwan, 2001-2013

OBJECTIVE

To examine trends in proportions of hospitals and operators not meeting the minimum percutaneous coronary intervention (PCI) volume standards in Taiwan during 2001-2013.

BACKGROUND

The 2013 Clinical Competence Statement recommends that operators perform a minimum of ≥50 PCIs annually (averaged over a 2-year period) in hospitals conducting ≥200 PCIs annually.

METHODS

Taiwan National Health Insurance claims data from 2001 to 2013 are used to determine the annual numbers of PCIs performed by each hospital and operator.

RESULTS

The percentage of hospitals conducting annual PCI volumes of <200 decreased from 57% (26/46) in 2001 to 39% (29/74) in 2007 and 33% (33/91) in 2013; the percentage of operators conducting PCI volumes <50 annually remained relatively constant at 60% (146/243) in 2001, 60% (270/452) in 2007, and 58% (354/611) in 2013; and the percentage of operators conducting low volumes (<50) in low-volume hospitals (<200) decreased from 24% (57/243) in 2001 to 15% (66/452) in 2007 and 12% (76/611) in 2013.

CONCLUSIONS

Approximately one-third of hospitals and three-fifths of operators in Taiwan failed to meet minimum PCI volume standards. Further research examining patient outcomes from PCIs performed by low-volume hospitals and operators is recommended.

Hospital Performance on Percutaneous Coronary Intervention Process and Outcomes Measures

BACKGROUND

The Physician Consortium for Performance Improvement recently proposed percutaneous coronary intervention (PCI)-specific process measures. However, information about hospital performance on these measures and the association of PCI process and outcomes measures are not available.

METHODS AND RESULTS

We linked the National Cardiovascular Data Registry (NCDR) CathPCI Registry with Medicare claims data to assess hospital performance on established PCI process measures (aspirin, thienopyridines, and statins on discharge; door-to-balloon time; and referral to cardiac rehabilitation), newly proposed PCI process measures (documentation of contrast dose, glomerular filtration rate, and PCI indication; appropriate indication for elective PCI; and use of embolic protection device), and a composite of all process measures. We calculated weighted pair-wise correlations between each set of process metrics and performed weighted correlation analyses to assess the association between composite measure performance with corresponding 30-day risk-standardized mortality and readmission rates. We reported the variance in risk-standardized 30-day outcome rates explained by process measures. We analyzed 1 268 860 PCIs from 1331 hospitals. For many process measures, median hospital performance exceeded 90%. We found strong correlations between medication-specific process measures (P<0.01) and weak correlations between hospital performance on the newly proposed and established process measures. The composite process measure explained only 1.3% and 2.0% of the observed variation in mortality and readmission rates, respectively.

CONCLUSIONS

Hospital performance on many PCI-specific process measures demonstrated little opportunity for improvement and explained only a small percentage of hospital variation in 30-day outcomes. Efforts to measure and improve hospital quality for PCI patients should focus on both process and outcome measures.

State mandated public reporting and outcomes of percutaneous coronary intervention in the United States

Public reporting has been proposed as a strategy to improve health care quality. Percutaneous coronary interventions (PCIs) performed in the United States from July 1, 2009, to June 30, 2011, included in the CathPCI Registry were identified (n = 1,340,213). Patient characteristics and predicted and observed in-hospital mortality were compared between patients treated with PCI in states with mandated public reporting (Massachusetts, New York, Pennsylvania) and states without mandated public reporting. Most PCIs occurred in states without mandatory public reporting (88%, n = 1,184,544). Relative to patients treated in nonpublic reporting states, those who underwent PCI in public reporting states had similar predicted in-hospital mortality (1.39% vs 1.37%, p = 0.17) but lower observed in-hospital mortality (1.19% vs 1.41%, adjusted odds ratio [ORadj] 0.80; 95% confidence interval [CI] 0.74, 0.88; p <0.001). In patients for whom outcomes were available at 180 days, the differences in mortality persisted (4.6% vs 5.4%, ORadj 0.85, 95% CI 0.79 to 0.92, p <0.001), whereas there was no difference in myocardial infarction (ORadj 0.97, 95% CI 0.89 to 1.07) or revascularization (ORadj 1.05, 95% CI 0.92 to 1.20). Hospital readmissions were increased at 180 days in patients who underwent PCI in public reporting states (ORadj 1.08, 95% CI 1.03 to 1.12, p = 0.001). In conclusion, patients who underwent PCI in states with mandated public reporting of outcomes had similar predicted risks but significantly lower observed risks of death during hospitalization and in the 6 months after PCI. These findings support considering public reporting as a potential strategy for improving outcomes of patients who underwent PCI although further studies are warranted to delineate the reasons for these differences.

Risk scores for 30-day mortality after percutaneous coronary intervention: new insights into causes and risk of death

OBJECTIVE

To determine the causes and risk of death after percutaneous coronary interventions (PCIs) and to compare the discriminatory ability of the New York State Risk Score (NYSRS) with the Mayo Clinic Risk Score (MCRS).

PATIENTS AND METHODS

We studied in-hospital and 30-day mortality after PCI in 4898 patients treated at Mayo Clinic in Rochester, Minnesota, from January 1, 2007, through December 31, 2010, to validate the NYSRS equation with recalibrated predicted probabilities of death.

RESULTS

Of the 4898 patients studied, 93 (1.9%) died during the index hospitalization, and 36 (0.7%) died within 30 days after discharge. For the in-hospital and 30-day mortality, respectively, the area under the receiver operating characteristic curve was 0.92 and 0.88 for the NYSRS and 0.93 and 0.90 for the MCRS, indicating excellent discrimination. The NYSRS model underpredicted event rates when applied in Mayo Clinic data (2.6% observed [127 of 4898 patients] vs 2.3% predicted [114 of 4898 patients]), even after recalibration. The instantaneous hazard over time revealed the highest risk of death in the first 3 days after PCI (daily probability, >0.2%), declined to 0.1% until about day 12, and then decreased below 0.1%. Cardiac causes (mainly myocardial infarction) dominated in the first week (83 of 85 deaths [97.6%]) and then decreased to 59.5% (25 of 42 deaths) between 8 and 30 days after PCI.

CONCLUSION

The discriminatory ability of the NYSRS and the MCRS for in-hospital and 30-day mortality after PCI is roughly interchangeable. The risk of death is highest during the first 2 weeks and is dominated by cardiac causes of death.

Risk modelling in quality clinical registries: monitoring lesion treatment failure rate in percutaneous coronary interventions

AIMS

This paper describes the development of a risk adjustment (RA) model predictive of individual lesion treatment failure in percutaneous coronary interventions (PCI) for use in a quality monitoring and improvement program.

METHODS AND RESULTS

Prospectively collected data for 3972 consecutive revascularisation procedures (5601 lesions) performed between January 2003 and September 2011 were studied. Data on procedures to September 2009 (n=3100) were used to identify factors predictive of lesion treatment failure. Factors identified included lesion risk class (p<0.001), occlusion type (p<0.001), patient age (p=0.001), vessel system (p<0.04), vessel diameter (p<0.001), unstable angina (p=0.003) and presence of major cardiac risk factors (p=0.01). A Bayesian RA model was built using these factors with predictive performance of the model tested on the remaining procedures (area under the receiver operating curve: 0.765, Hosmer-Lemeshow p value: 0.11). Cumulative sum, exponentially weighted moving average and funnel plots were constructed using the RA model and subjectively evaluated.

CONCLUSION

A RA model was developed and applied to SPC monitoring for lesion failure in a PCI database. If linked to appropriate quality improvement governance response protocols, SPC using this RA tool might improve quality control and risk management by identifying variation in performance based on a comparison of observed and expected outcomes.