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. 2024 Mar 5;13(5):e029798.
doi: 10.1161/JAHA.123.029798. Epub 2024 Feb 23.

Consensus-Based Development of a Pediatric Echocardiography Complexity Score: Design, Rationale, and Results of a Quality Improvement Collaborative

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Consensus-Based Development of a Pediatric Echocardiography Complexity Score: Design, Rationale, and Results of a Quality Improvement Collaborative

Sowmya Balasubramanian et al. J Am Heart Assoc. .

Abstract

Background: The complexity of congenital heart disease has been primarily stratified on the basis of surgical technical difficulty, specific diagnoses, and associated outcomes. We report on the refinement and validation of a pediatric echocardiography complexity (PEC) score.

Methods and results: The American College of Cardiology Quality Network assembled a panel from 12 centers to refine a previously published PEC score developed in a single institution. The panel refined complexity categories and included study modifiers to account for complexity related to performance of the echocardiogram. Each center submitted data using the PEC scoring tool on 15 consecutive inpatient and outpatient echocardiograms. Univariate and multivariate analyses were performed to assess for independent predictors of longer study duration. Among the 174 echocardiograms analyzed, 68.9% had underlying congenital heart disease; 44.8% were outpatient; 34.5% were performed in an intensive care setting; 61.5% were follow-up; 46.6% were initial or preoperative; and 9.8% were sedated. All studies had an assigned PEC score. In univariate analysis, longer study duration was associated with several patient and study variables (age <2 years, PEC 4 or 5, initial study, preoperative study, junior or trainee scanner, and need for additional imaging). In multivariable analysis, a higher PEC score of 4 or 5 was independently associated with longer study duration after controlling for study variables and center variation.

Conclusions: The PEC scoring tool is feasible and applicable in a variety of clinical settings and can be used for correlation with diagnostic errors, allocation of resources, and assessment of physician and sonographer effort in performing, interpreting, and training in pediatric echocardiography.

Keywords: complexity score; congenital heart disease; pediatric echocardiography; resource use.

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Figures

Figure 1
Figure 1. Pediatric echocardiography complexity (PEC) scoring tool developed by consensus using representation from 12 centers and validated with submission of 15 random echocardiograms per center.
ASD indicates atrial septal defect; AV, atrioventricular; CICU, cardiac intensive care unit; DORV, double‐outlet right ventricle; ECMO, extracorporeal membrane oxygenation; ICU, intensive care unit; MAPCA, major aortopulmonary collateral artery; NICU, neonatal intensive care unit; OR, operating room; PA, pulmonary atresia; PICU, pediatric intensive care unit; TGA, transposition of the great arteries; TOF, tetralogy of Fallot; TTE, transthoracic echocardiogram; VAD, ventricular assist device; and VSD, ventricular septal defect.
Figure 2
Figure 2. Pie graph showing the distribution of pediatric echocardiography complexity (PEC) scores for the entire cohort (n=174).
PEC 1 indicates limited study; PEC 2, normal anatomy; PEC 3, acquired heart disease/cardiomyopathy; PEC 4, nonanatomically complex congenital heart disease; PEC 5, anatomically complex congenital heart disease; and PEC 6, mechanical support. No studies were submitted with PEC 6.
Figure 3
Figure 3. Box‐and‐whisker plot showing the distribution of pediatric echocardiography complexity (PEC) scores and the associated study duration for each category.
Compared with PEC 1 to 3, study duration was significantly higher for PEC 4 or 5. *P<0.0001.
Figure 4
Figure 4. Box‐and‐whisker plot showing anatomic categories and their associated study duration for each category (P>0.05).
ASD indicates atrial septal defect; PDA, patent ductus arteriosus; and VSD, ventricular septal defect.
Figure 5
Figure 5. Scatterplot showing distribution of scan length for the 12 academic centers, with variations between centers (P<0.0001).

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