Classification of Prenatal Congenital Heart Diseases

2020 ◽  
pp. 1-20
Author(s):  
Maciej Słodki ◽  
Maria Respondek-Liberska
Keyword(s):  
Congenital Heart ◽  
Heart Diseases ◽  
Congenital Heart Diseases

scholarly journals Classification of Congenital Heart Diseases By SVM-MFCC Using Phonocardiograph

2017 ◽  
Author(s):  
Gholamreza Attarodi ◽  
Asghar Tareh ◽  
Nader Jafarnia Dabanloo ◽  
Ali Adeliansedehi
Keyword(s):  
Congenital Heart ◽  
Heart Diseases ◽  
Congenital Heart Diseases

scholarly journals Accuracy of claim data in the identification and classification of adults with congenital heart diseases in electronic medical records

2019 ◽  
Vol 112 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Sarah Cohen ◽  
Anne-Sophie Jannot ◽  
Laurence Iserin ◽  
Damien Bonnet ◽  
Anita Burgun ◽  
...  
Keyword(s):  
Electronic Medical Records ◽  
Medical Records ◽  
Congenital Heart ◽  
Heart Diseases ◽  
Claim Data ◽  
Congenital Heart Diseases

scholarly journals Use of computed radiology as a screening test for the identification of congenital heart disease in dogs

2020 ◽  
Vol 41 (4) ◽  
pp. 1213
Author(s):  
Stephany Buba Lucina ◽  
Marco Antonio Ferreira da Silva ◽  
Amália Turner Giannico ◽  
Marlos Gonçalves Sousa ◽  
Tilde Rodrigues Froes
Keyword(s):  
Heart Disease ◽  
Predictive Value ◽  
Screening Test ◽  
Congenital Heart ◽  
Heart Diseases ◽  
Screening Method ◽  
Congenital Heart Diseases ◽  
Cardiac Silhouette ◽  
Sensitivity Specificity

The objectives of this study were to evaluate the accuracy of thoracic radiology as a screening test for congenital heart diseases in dogs, to identify the main contributions and limitations of this modality, and to verify the reproducibility of the evaluations by three observers with different levels of training. An interobserver, observational, retrospective and prospective study was carried out, including ninety dogs: thirty healthy animals, thirty with acquired heart diseases and thirty with congenital heart diseases, which all had thoracic radiographs and a confirmed echocardiographic diagnosis. The cases were separated and randomized by a mediator who did not participate in the reading of the radiographic examinations, and no evaluator had access to the patients' data. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy of each observer were calculated in relation to the correct classification of dogs to groups of normal or acquired and congenital heart diseases, as well as identification of enlargement of the cardiac silhouette and large vessels of dogs with congenital heart diseases. Finally, the Kappa coefficient was obtained between the observers to verify the reproducibility of the radiological evaluations performed. In general, sensitivity, PPV and accuracy were unsatisfactory ( 70%), and the agreement ranged from poor to reasonable (between 0 and 0.39). Although greater accuracy was achieved in the differentiation of healthy dogs from those with acquired and congenital heart diseases by thoracic radiography, when compared to the other studies, the modality was able only to identify healthy patients, and could not differentiate the individuals with different forms of heart disease or define the cardiac malformations. In addition, there was low reproducibility between observers, therefore, this technique should not be used as a sole screening method in dogs with suspected congenital heart diseases.

scholarly journals Prevalence of associated extracardiac anomalies in prenatally diagnosed congenital heart diseases

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248894
Author(s):  
Chi-Son Chang ◽  
Sir-yeon Hong ◽  
Seo-yeon Kim ◽  
Yoo-min Kim ◽  
Ji-Hee Sung ◽  
...  
Keyword(s):  
Retrospective Cohort ◽  
Congenital Heart ◽  
Septal Defect ◽  
Heart Diseases ◽  
Heart Defects ◽  
Chromosomal Anomaly ◽  
Congenital Heart Diseases ◽  
Clinical Classification ◽  
22Q11.2 Microdeletion

Objective To investigate the prevalence of extracardiac anomalies (ECA) in prenatally diagnosed congenital heart diseases (CHD), and to provide more information for counseling of women with prenatally diagnosed fetal CHD. Methods This was a retrospective cohort study of 791 cases of fetal CHD diagnosed by prenatal ultrasound from January 2005 to April 2018. Associated ECAs included extracardiac structural malformation (ECM), chromosomal anomaly, and 22q11.2 microdeletion. CHD was classified into 10 groups according to a modified anatomic and clinical classification of congenital heart defects. Results The overall prevalence of ECA in our CHD cohort was 28.6% (226/791): ECM, 25.3%; chromosomal anomaly, 11.7%; and 22q11.2 microdeletion, 5.5%. For those with ECM, ventricular septal defect (VSD) had the highest prevalence (34.5%), followed by anomalies of atrioventricular junctions and valves (28.8%) and heterotaxy (26.9%). For those with chromosomal anomaly, anomalies of atrioventricular junctions and valves had the highest prevalence (37.5%), followed by anomalies of atria and interatrial communications (25.0%) and VSD (22.9%). 22q11.2 microdeletion was detected only in those with anomalies of extrapericardial arterial trunks (14.3%) or ventricular outflow tracts (6.4%). Conclusion ECM, chromosomal anomaly, and 22q11.2 microdeletion have different prevalence according to the type of CHD.

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