Risk-adjusted performance evaluation in three academic thoracic surgery units using the Eurolung risk models

Area of Science:

• Thoracic Surgery Outcomes Research
• Healthcare Quality Improvement
• Predictive Modeling in Medicine

Background:

• Evaluating the performance of thoracic surgery centers is crucial for ensuring high-quality patient care.
• Risk models are essential tools for standardizing performance comparisons and identifying areas for improvement.
• The Eurolung risk models provide a framework for assessing morbidity and mortality in lung resections.

Purpose of the Study:

• To assess the performance of three distinct thoracic surgery centers.
• To evaluate the utility of the Eurolung risk models in predicting morbidity and mortality.
• To compare observed outcomes with risk-adjusted predictions within each center.

Main Methods:

• Retrospective analysis of anatomical lung resection data from 2014-2016 across three academic centers.
• Application of Eurolung1 and Eurolung2 models to predict risk-adjusted cardiopulmonary morbidity and 30-day mortality.
• Comparison of observed patient outcomes against model-predicted rates for each participating center.

Main Results:

• Centre 2 demonstrated significantly lower observed morbidity (20.2%) and mortality (1.2%) than predicted.
• Centre 3 exhibited higher observed morbidity (41.1%) than predicted, although mortality was in line with predictions.
• Centre 1 showed observed morbidity consistent with predictions but higher observed mortality (3.6%) than predicted.

Conclusions:

• The Eurolung models served as effective risk-adjusting instruments for internal auditing of thoracic surgery centers.
• The study confirms the applicability of Eurolung models for quality improvement initiatives in thoracic surgery.
• Variations in observed versus predicted outcomes highlight the need for continuous performance monitoring.