Evaluation of Peer Review of Percutaneous Coronary Intervention Operator Performance.

Circ Cardiovasc Qual Outcomes

Division of Cardiology, Department of Medicine, University of Washington, Seattle (J.A.D., E.J.S., D.H.A.).

Published: January 2025

Background: Case-based peer review of percutaneous coronary intervention (PCI) is used by many hospitals for quality improvement and to make decisions regarding physician competency. However, there are no studies testing the reliability or validity of peer review for PCI performance evaluation.

Methods: We recruited interventional cardiologists from 12 Veterans Affairs Health System facilities throughout the United States to provide PCI cases for review. Ten reviewers performed blinded reviews such that each case was reviewed twice. Cases were rated on a scale of 1 to 5 (with 5 being the best) for 6 care domains (Appropriateness, Lesion Suitability, Strategy, Technical Performance, Outcome, and Documentation) with a summary performance score calculated as the average of all domains. Separately, reviewers determined whether the standard of care was met. Interobserver reliability of the summary performance score was calculated using interclass correlation coefficient. We examined procedural complications and 30-day mortality and major adverse cardiac events for all PCIs performed by these operators from 2019 to 2022 when stratified in tertiles by summary performance score.

Results: Of the 65 cases provided by 13 operators, the mean summary performance score was 3.90 (SD=0.78) out of 5. The interclass correlation coefficient was 0.53, indicating moderate interobserver reliability. For 19 cases (29.2%), 1 reviewer indicated that the performance did not meet the standard of care; however, the second reviewer disagreed in all these cases. Average performance scores ranged from 3.35 to 4.38. Among the 3390 PCIs performed by reviewed cardiologists from 2019 to 2022, the lowest-rated tertile had higher rates of complications (2.9% versus 1.8%, <0.01) and major adverse cardiac events (10.6% versus 8.0%, <0.01) compared with the highest-rated tertile.

Conclusions: Case-based peer review identifies variation in physician performance that is correlated with PCI outcomes. However, reviewer disagreements about the standard of care raise concerns about the use of peer review for high-stakes assessments of physician competency.

Download full-text PDF

Source
http://dx.doi.org/10.1161/CIRCOUTCOMES.124.011159DOI Listing

Publication Analysis

Top Keywords

summary performance
16
peer review
12
performance score
12
performance
9
review percutaneous
8
percutaneous coronary
8
coronary intervention
8
score calculated
8
standard care
8
interobserver reliability
8

Similar Publications

The mini-cutting physiological condition is vital for the rooting process. For accurate interpretation, considering all mini-cutting responses in an experiment is necessary to identify significant rooting-biomarkers. The study investigates rooting-biomarkers during vegetative propagation, focusing on Ilex paraguariensis (yerba mate) clones of contrasting mini-cutting rooting performance as a case study (i.

View Article and Find Full Text PDF

Observational studies have shown that the risk of developing herpes zoster (HZ) increases with the use of statins. However, there are many confounding factors in observational studies. Therefore, our Mendelian randomization (MR) study aimed to explore the causal role of lipids in HZ and to assess the causal impact of lipid-lowering drug targets on HZ risk.

View Article and Find Full Text PDF

Prediction of pulmonary embolism by an explainable machine learning approach in the real world.

Sci Rep

January 2025

Department of Respiratory and Critical Care Medicine, Changhai Hospital, The Second Military Medical University, Shanghai, People's Republic of China.

In recent years, large amounts of researches showed that pulmonary embolism (PE) has become a common disease, and PE remains a clinical challenge because of its high mortality, high disability, high missed and high misdiagnosed rates. To address this, we employed an artificial intelligence-based machine learning algorithm (MLA) to construct a robust predictive model for PE. We retrospectively analyzed 1480 suspected PE patients hospitalized in West China Hospital of Sichuan University between May 2015 and April 2020.

View Article and Find Full Text PDF

DOME: Directional medical embedding vectors from electronic health records.

J Biomed Inform

January 2025

Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address:

Motivation: The increasing availability of electronic health record (EHR) systems has created enormous potential for translational research. Recent developments in representation learning techniques have led to effective large-scale representations of EHR concepts along with knowledge graphs that empower downstream EHR studies. However, most existing methods require training with patient-level data, limiting their abilities to expand the training with multi-institutional EHR data.

View Article and Find Full Text PDF

Introduction: Observational studies have found that higher iron levels are associated with an increased risk of diabetes mellitus. Given the limitations of causal inferences from observational studies and the expensive and time-consuming nature of randomized controlled trials, Mendelian randomization analysis presents a reasonable alternative to study causal relationships. Previous MR analyses studying iron levels and diabetes have used indirect markers of iron levels, such as serum ferritin, and found conflicting results.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!