Format

Send to

Choose Destination
Comput Methods Programs Biomed. 2018 Oct;165:107-116. doi: 10.1016/j.cmpb.2018.08.014. Epub 2018 Aug 20.

A novel, data-driven conceptualization for critical left heart obstruction.

Author information

1
Division of Cardiovascular Surgery, The Hospital for Sick Children, Toronto, CA . Electronic address: james.meza@duke.edu.
2
Division of Pediatric Cardiology, Radboud University Medical Center, Nijmegan, the Netherlands.
3
Division of Cardiovascular and Thoracic Surgery and Department of Quantitative Health Sciences, The Cleveland Clinic, Cleveland, OH.
4
Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, CA.
5
Division of Pediatric Cardiac Surgery, Arnold Palmer Children's Hospital, Orlando, FL.
6
Division of Cardiothoracic Surgery, University of Alabama-Birmingham, Birmingham, AL.
7
Division of Pediatric Cardiac Surgery, Yale-New Haven Children's Hospital, New Haven, CT.
8
Division of Cardiothoracic Surgery, St. Louis Children's Hospital, St. Louis. MO.
9
Division of Cardiothoracic Surgery, Children's Hospital of Los Angeles, Los Angeles, CA.
10
Division of Cardiothoracic Surgery, Primary Children's Medical Center, Salt Lake City, UT.
11
Division of Cardiac Surgery, Johns Hopkins Heart and Vascular Institute, Baltimore, MD.
12
Division of Thoracic and Cardiovascular Surgery, Phoenix Children's Hospital, Phoenix, AZ.
13
Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, CA ; Division of Pediatric Cardiac Surgery, Arnold Palmer Children's Hospital, Orlando, FL ; Department of Pediatrics, University of Toronto, Toronto, CA . Electronic address: brian.mccrindle@sickkids.ca.

Abstract

BACKGROUND:

Qualitative features of aortic and mitral valvar pathology have traditionally been used to classify congenital cardiac anomalies for which the left heart structures are unable to sustain adequate systemic cardiac output. We aimed to determine if novel groups of patients with greater clinical relevance could be defined within this population of patients with critical left heart obstruction (CLHO) using a data-driven approach based on both qualitative and quantitative echocardiographic measures.

METHODS:

An independent standardized review of recordings from pre-intervention transthoracic echocardiograms for 651 neonates with CLHO was performed. An unsupervised cluster analysis, incorporating 136 echocardiographic measures, was used to group patients with similar characteristics. Key measures differentiating the groups were then identified.

RESULTS:

Based on all measures, cluster analysis linked the 651 neonates into groups of 215 (Group 1), 338 (Group 2), and 98 (Group 3) patients. Aortic valve atresia and left ventricular (LV) end diastolic volume were identified as significant variables differentiating the groups. The median LV end diastolic area was 1.35, 0.69, and 2.47 cm2 in Groups 1, 2, and 3, respectively (p < 0.0001). Aortic atresia was present in 11% (24/215), 87% (294/338), and 8% (8/98), in Groups 1, 2, and 3, respectively (p < 0.0001). Balloon aortic valvotomy was the first intervention for 9% (19/215), 2% (6/338), and 61% (60/98), respectively (p < 0.0001). For those with an initial operation, single ventricle palliation was performed in 90% (176/215), 98% (326/338), and 58% (22/38) (p < 0.0001). Overall mortality in each group was 27% (59/215), 41% (138/338), and 12% (12/98) (p < 0.0001).

CONCLUSIONS:

Using a data-driven approach, we conceptualized three distinct patient groups, primarily based quantitatively on baseline LV size and qualitatively by the presence of aortic valve atresia. Management strategy and overall mortality differed significantly by group. These groups roughly correspond anatomically and are analogous to multi-level LV hypoplasia, hypoplastic left heart syndrome, and critical aortic stenosis, respectively. Our analysis suggests that quantitative and qualitative assessment of left heart structures, particularly LV size and type of aortic valve pathology, may yield conceptually more internally consistent groups than a simplistic scheme limited to valvar pathology alone.

KEYWORDS:

Cluster analysis; Congenital aortic stenosis; Data science; Hypoplastic left heart syndrome

PMID:
30337065
DOI:
10.1016/j.cmpb.2018.08.014

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center