Exercise Capacity After Arterial Switch Operation in Patients with D-Transposition of Great Arteries: Does the Coronary Artery Anatomy Matter?
Daiji TakajoChenni S SriramDeemah MahadinSanjeev AggarwalPublished in: Pediatric cardiology (2022)
Variant coronary anatomy (VarCA) is frequent in D-Transposition of the great arteries (d-TGA). There are a paucity of data on the effect of the VarCA on the exercise capacity (XC) in patients with repaired d-TGA. This retrospective study included patients with d-TGA who underwent an arterial switch operation (ASO) and had at least one cardiopulmonary exercise test (CPET). Data from the treadmill CPET and simultaneously performed spirometry were collected. The parameters of CPET were compared between patients with usual anatomy vs. VarCA. Longitudinal changes in XC in patients with ASO were also analyzed. A total of 44 patients with either usual coronary anatomy (n = 27, 61%) or VarCA (n = 17, 39%) met inclusion criteria. There was no significant difference in oxygen consumption (%VO 2 ) at initial CPET (104 vs. 100%, p = 0.53) between the two groups. Abnormal %VO 2 (< 85%) was uncommon in both groups (n = 2, 7.4% vs. n = 4; 23.5%; p = ns). For longitudinal changes, there was no significant decline in %VO 2 in either group: (i) usual coronary anatomy (n = 15, median follow-up 4.8 years, %VO 2 111 vs. 108%; p = 0.306) and (ii) VarCA (n = 10, median follow-up 6.6 years, %VO 2 106 vs. 92%; p = 0.441). Spirometry was abnormal in 25 (59.5%) patients [restrictive (n = 8, 19.0%), obstructive (n = 15, 35.7%), and mixed (n = 2, 4.8%)] butabnormal spirometry had no impact on the XC. Patients with d-TGA who underwent neonatal ASO uniformly exhibited good XC without any longitudinal decline on medium-term follow-up, regardless of coronary artery anatomy. Although frequent (60%), abnormal spirometry was not associated with reduced exercise capacity.
Keyphrases
- coronary artery
- high intensity
- pulmonary artery
- coronary artery disease
- lung function
- physical activity
- resistance training
- end stage renal disease
- ejection fraction
- cross sectional
- electronic health record
- chronic kidney disease
- big data
- aortic stenosis
- machine learning
- peritoneal dialysis
- heart failure
- zika virus
- air pollution
- chronic obstructive pulmonary disease
- patient reported outcomes
- atrial fibrillation
- gestational age
- data analysis