Dextrocardia: an analysis of cardiac structures in 125 patients

摘要: Abstract Background: Dextrocardia is associated with multiple and complex congenital cardiac anomalies. Precise anatomical diagnosis essential for successful surgery. Spectrum of malformations in cases dextrocardia based primarily on two-dimensional echocardiographic studies. The purpose the current study was to use colour Doppler echocardiography large number patients. Methods: Patients were studied retrospectively, by reviewing database our laboratory over last 10 years. Standard criteria situs used. Detailed segmental analysis anatomy done using previously suggested well accepted terms definitions. Cardiac confirmed catheterization during surgery few cases. Results: Of total 125 patients, most common inversus (39.2%) followed solitus (34.4%) ambiguous [26.4% (right isomerism 18.4% left 8.0%)]. Mean age 9.2±11.2 years (range; 3 days 60 years), 82 males 43 females. In dextrocardia, majority (73.4%) had concordant atrioventricular (AV) connections while discordant AV univentricular (UVAVC) present 12.2 14.3% respectively. Majority patients (72.2%) also VA (ventriculo–arterial) (conotruncal anomalies commonest). Similarly, (66.7%) connections. Commonly (44.9%), these presented decreased pulmonary blood flow (Qp). Total 28.6% normal intracardiac (10.2% rheumatic heart disease). (51.2%) concordance UVAVC 41.9 7.0% connections, (77.2%) (majority increased Qp due pre or post-tricuspid shunts). (88.9%) (88.9% Qp). Only anatomy. striking features right male predominance (male:female ratio 2.2:1), cyanosis 86.9%, high incidence venous system (39.1% each). Striking biventricular all except one, presentation 60.0% presence inferior vena caval interruption Conclusions: Present study, largest till date reconfirms that have variable depending upon their types These can different haemodynamic subsets, which be correctly identified echocardiography. Diagnostic accuracy a better understanding various are essential, since improved surgical techniques made it possible correct many abnormalities.