Related Experiment Video
Updated: May 18, 2026
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
Use of diagnostic information submitted to the United Kingdom Central Cardiac Audit Database: development of
Kate L Brown1, Sonya Crowe, Christina Pagel
1Cardiac Unit, Great Ormond Street Hospital NHS Trust, London, United Kingdom.
Insights
This study categorizes pediatric cardiac diagnoses in the UK Central Cardiac Audit Database to improve risk adjustment for surgery. The developed schemes accurately identify diagnoses, enhancing case mix analysis for better outcomes.
Area of Science:
- Pediatric Cardiology
- Cardiac Surgery Outcomes
- Health Informatics
Background:
- Accurate primary cardiac diagnosis is crucial for risk adjustment in pediatric cardiac surgery.
- Existing data in the UK Central Cardiac Audit Database lacks detailed diagnostic categorization.
- Improving diagnostic data enhances the analysis of surgical complexity and patient outcomes.
Purpose of the Study:
- To categorize records by primary cardiac diagnosis within the UK Central Cardiac Audit Database.
- To integrate this diagnostic information into a risk adjustment model for pediatric cardiac surgery.
- To establish standardized diagnostic schemes for national cardiac audit data.
Main Methods:
- Codes from the International Paediatric Congenital Cardiac Code were mapped to primary cardiac diagnosis groupings.
- A hierarchical approach was used, considering the number of functional ventricles and presence of aortic obstruction.
- Data from 13,551 first surgical episodes in the UK Central Cardiac Audit Database (since 2004) were analyzed.
Main Results:
- Scheme 1 identified ventricular septal defect (13%), patent ductus arteriosus (10.4%), and tetralogy of Fallot (9.5%) as most prevalent.
- Scheme 2 revealed biventricular heart without aortic obstruction (64.2%) as most common.
- Diagnostic categorization improved identification for 'not a specific procedure' cases (97.1-97.2% accuracy).
Conclusions:
- Diagnostic information significantly enhances surgical procedural data for national database case mix analysis.
- The developed categorization schemes can be used for future studies on condition frequency and long-term outcome evaluation.
- Standardized diagnostic classification is vital for understanding and improving pediatric cardiac surgical care.
Objective:
To categorise records according to primary cardiac diagnosis in the United Kingdom Central Cardiac Audit Database in order to add this information to a risk adjustment model for paediatric cardiac surgery.
Design:
Codes from the International Paediatric Congenital Cardiac Code were mapped to recognisable primary cardiac diagnosis groupings, allocated using a hierarchy and less refined diagnosis groups, based on the number of functional ventricles and presence of aortic obstruction.
Setting:
A National Clinical Audit Database. Patients Children undergoing cardiac interventions: the proportions for each diagnosis scheme are presented for 13,551 first patient surgical episodes since 2004.
Results:
In Scheme 1, the most prevalent diagnoses nationally were ventricular septal defect (13%), patent ductus arteriosus (10.4%), and tetralogy of Fallot (9.5%). In Scheme 2, the prevalence of a biventricular heart without aortic obstruction was 64.2% and with aortic obstruction was 14.1%; the prevalence of a functionally univentricular heart without aortic obstruction was 4.3% and with aortic obstruction was 4.7%; the prevalence of unknown (ambiguous) number of ventricles was 8.4%; and the prevalence of acquired heart disease only was 2.2%. Diagnostic groups added to procedural information: of the 17% of all operations classed as "not a specific procedure", 97.1% had a diagnosis identified in Scheme 1 and 97.2% in Scheme 2.
Conclusions:
Diagnostic information adds to surgical procedural data when the complexity of case mix is analysed in a national database. These diagnostic categorisation schemes may be used for future investigation of the frequency of conditions and evaluation of long-term outcome over a series of procedures.
Related Concept Videos
01:30Acute Coronary Syndrome III: Diagnostic Studies
01:30Heart Failure IV: Classification and Diagnostic Evaluation
01:25Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT