Diagnostic Accuracy of Fetal Echocardiography in Congenital Heart Disease

被引:24
|
作者
Mozumdar, Namrita [1 ]
Rowland, John [2 ]
Pan, Stephanie [2 ]
Rajagopal, Hari [1 ]
Geiger, Miwa K. [1 ]
Srivastava, Shubhika [1 ]
Stern, Kenan W. D. [1 ]
机构
[1] Icahn Sch Med Mt Sinai, Dept Pediat, Div Cardiol, New York, NY 10029 USA
[2] Icahn Sch Med Mt Sinai, Dept Populat Hlth Sci & Policy, New York, NY 10029 USA
关键词
Fetal echocardiography; Congenital heart disease; Neonatal; PRENATAL-DIAGNOSIS; IMPACT; POPULATION; DEFECTS; ERRORS;
D O I
10.1016/j.echo.2020.06.017
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The accuracy of fetal echocardiography (FE) is not well defined, and reporting of diagnostic discrepancies (DDs) is not standardized. The authors applied a categorization scheme developed by the American College of Cardiology Quality Metric Working Group and applied it to FE. Methods: A retrospective single-center study was conducted of prenatally diagnosed major structural congenital heart disease, defined as expected need for intervention within the first year of life. DDs between pre- and postnatal findings were identified and categorized. Minor DDs had no clinical impact, moderate DDs had impact without harm, and severe DDs resulted in adverse events. Multivariate regression analysis was used to determine factors associated with discrepancy. Results: From December 2008 to September 2017, 17,096 fetal echocardiograms were obtained, among which 222 fetuses with a median gestational age at first FE of 24 weeks were included. There were 30 DDs (13.5%), of which the majority were false negatives (56.7%). Most were minor or moderate in severity, with one severe DD. The majority were possibly preventable (90%), with the most common contributing factor being technical limitations (43.3%). The most common anatomic segment involved was the ventricular septum (23%), primarily missed septal defects. Comparing cases with DDs versus those without, those with DDs were more likely to have high anatomic complexity (16.7% vs 3.6%, P = .01), maternal comorbidities (40.0% vs 22.1%, P = .03), and a younger maternal age (median, 27 vs 30 years, P = .02). They were also more likely to have later gestation at initial FE (median, 29.5 vs 24 weeks, P = .003), to have fewer total fetal echocardiograms (median, 2 vs 3, P = .002), and to have a fellow as the initial sonographer (36.7% vs 16.7%, P = .03). There were no significant differences in maternal race/ethnicity, fetal comorbidities, and interpreting physician experience between cases with DDs and those without. On multivariate analysis, variables associated with DD included high anatomic complexity, maternal comorbidities, and fellow as initial imager. A greater number of fetal echocardiograms was associated with reduced DD. Conclusions: FE had a DD rate of 13.5%, mostly minor and moderate in severity. Factors associated with DD included high anatomic complexity, maternal comorbidities, fellow as the initial sonographer, and fewer fetal echocardiograms. Strategies to reduce DD could include a regular secondary review and repeat FE, particularly when anatomic complexity is high.
引用
收藏
页码:1384 / 1390
页数:7
相关论文
共 50 条
  • [31] Comparing the accuracy of obstetric sonography and fetal echocardiography during pediatric cardiology consultation in the prenatal diagnosis of congenital heart disease
    Lai, Carman Wing Sze
    Chau, Adolphus Kai Tung
    Lee, Chin Peng
    JOURNAL OF OBSTETRICS AND GYNAECOLOGY RESEARCH, 2016, 42 (02) : 166 - 171
  • [32] Accuracy of fetal echocardiography diagnosis and anticipated perinatal and early postnatal care in congenital heart disease in mid-gestation
    Nurmi, Max O.
    Pitkanen-Argillander, Olli
    Rasanen, Juha
    Sarkola, Taisto
    ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA, 2022, 101 (10) : 1112 - 1119
  • [33] Accuracy of fetal echocardiography in the routine detection of congenital heart disease among unselected and low risk populations: a systematic review
    Randall, P
    Brealey, S
    Hahn, S
    Khan, KS
    Parsons, JM
    BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, 2005, 112 (01) : 24 - 30
  • [34] Bio inspired technological performance in color Doppler ultrasonography and echocardiography for enhanced diagnostic precision in fetal congenital heart disease
    Zhang, Kang
    Zhong, Jing
    SLAS TECHNOLOGY, 2024, 29 (06):
  • [35] Congenital heart disease diagnosis: routine screening, fetal echocardiography and precision medicine
    Munoz, Hernan
    Enriquez, Gabriela
    Ortega, Ximena
    Pinto, Mauricio
    Hosiasson, Stefan
    Germain, Alfredo
    Diaz, Carlos
    Cortes, Fanny
    REVISTA MEDICA CLINICA LAS CONDES, 2023, 34 (01): : 44 - 56
  • [36] High Throughput Congenital Heart Disease Phenotyping in Mice with Noninvasive Fetal Echocardiography
    Lo, Cecilia Wen-Ya
    Liu, X.
    Subramanian, R.
    Tobita, K.
    Tsuchya, M.
    Kim, A.
    Leatherubry, L.
    Devine, W.
    Kim, Y.
    Anderton, S.
    Wong, L.
    Chang, C.
    Ramirez, R.
    FASEB JOURNAL, 2011, 25
  • [37] Fetal echocardiography in pregnancies of women with congenital heart disease -: Clinical utility and limitations
    Oberhänsli, I
    Extermann, P
    Jaggi, E
    Pfizenmaier, M
    THORACIC AND CARDIOVASCULAR SURGEON, 2000, 48 (06): : 323 - 327
  • [38] Diagnosis of Congenital Heart Disease by Early and Second-Trimester Fetal Echocardiography
    Volpe, Paolo
    De Robertis, Valentina
    Campobasso, Gianluca
    Tempesta, Annalisa
    Volpe, Grazia
    Rembouskos, Georgios
    JOURNAL OF ULTRASOUND IN MEDICINE, 2012, 31 (04) : 563 - 568
  • [39] A brief history of fetal echocardiography and its impact on the management of congenital heart disease
    Maulik, Dev
    Nanda, Navin C.
    Maulik, Devika
    Vilchez, Gustavo
    ECHOCARDIOGRAPHY-A JOURNAL OF CARDIOVASCULAR ULTRASOUND AND ALLIED TECHNIQUES, 2017, 34 (12): : 1760 - 1767
  • [40] Fetal Intelligent Navigation Echocardiography (FINE) Detects 98% of Congenital Heart Disease
    Yeo, Lami
    Luewan, Suchaya
    Romero, Roberto
    JOURNAL OF ULTRASOUND IN MEDICINE, 2018, 37 (11) : 2577 - 2593