Effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long QT syndrome

Author:

Kaizer Alexander M1ORCID,Winbo Annika23ORCID,Clur Sally-Ann B45ORCID,Etheridge Susan P6ORCID,Ackerman Michael J78910ORCID,Horigome Hitoshi11ORCID,Herberg Ulrike1213ORCID,Dagradi Federica14ORCID,Spazzolini Carla14ORCID,Killen Stacy A S15ORCID,Wacker-Gussmann Annette16ORCID,Wilde Arthur A M51718ORCID,Sinkovskaya Elena19,Abuhamad Alfred19,Torchio Margherita14,Ng Chai-Ann2021ORCID,Rydberg Annika25ORCID,Schwartz Peter J14ORCID,Cuneo Bettina F22ORCID

Affiliation:

1. Biostatistics and Informatics, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus , Aurora, CO , USA

2. Department of Clinical Sciences, Pediatrics, Umeå University , Umea , Sweden

3. Department of Physiology, University of Auckland , Auckland , New Zealand

4. Department of Pediatric Cardiology, Emma Children’s Hospital, Amsterdam University Medical Centers , Amsterdam , The Netherlands

5. Department of Cardiology, University Medical Center, Amsterdam, The Netherlands

6. Department of Pediatrics, Division of Cardiology, University of Utah School of Medicine , Salt Lake City, UT , USA

7. Department of Cardiovascular Medicine, Division of Heart Rhythm Services, Mayo Clinic , Rochester, MN , USA

8. Department of Pediatric and Adolescent Medicine, Division of Pediatric Cardiology, Mayo Clinic , Rochester, MN , USA

9. Department of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic , Rochester, MN , USA

10. Windland Smith Rice Genetic Heart Rhythm Clinic and Windland Smith Rice Sudden Death Genomics Laboratory, Mayo Clinic , Rochester, MN , USA

11. Department of Pediatrics, Section of Cardiology, Tsukuba University , Tsukuba , Japan

12. Department of Pediatric Cardiology, RWTH University Hospital Aachen , Aachen , Germany

13. Department of Pediatric Cardiology, University Hospital Bonn , Bonn , Germany

14. Center for Cardiac Arrhythmias of Genetic Origin and Laboratory of Cardiovascular Genetics, IRCCS Istituto Auxologico Italiano , Via Pier Lombardo 22 , 2015 Milan, Italy

15. Department of Pediatrics, Division of Cardiology, Vanderbilt University Medical Center , Nashville, TN , USA

16. Department of Congenital Heart Disease and Paediatric Cardiology, German Heart Center , Munich , Germany

17. Department of Cardiology, Amsterdam UMC Location University of Amsterdam , Amsterdam , The Netherlands

18. Department of Cardiology, Amseterdam University Medical Center, Amsterdam, The Netherlands

19. Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, Eastern Virginia Medical School , Norfolk, VA , USA

20. Mark Cowley Lidwill Research Program in Cardiac Electrophysiology, Victor Chang Cardiac Research Institute , Darlinghurst, New South Wales , Australia

21. The School of Clinical Medicine, UNSW Sydney , Darlinghurst, New South Wales , Australia

22. Department of Pediatrics, Section of Cardiology, University of Denver School of Medicine , 13123 16th Ave, Box 100 , Aurora, CO 80045, USA

Abstract

Abstract Aims In long QT syndrome (LQTS), primary prevention improves outcome; thus, early identification is key. The most common LQTS phenotype is a foetal heart rate (FHR) < 3rd percentile for gestational age (GA) but the effects of cohort, genotype, variant, and maternal β-blocker therapy on FHR are unknown. We assessed the influence of these factors on FHR in pregnancies with familial LQTS and developed a FHR/GA threshold for LQTS. Methods and results In an international cohort of pregnancies in which one parent had LQTS, LQTS genotype, familial variant, and maternal β-blocker effects on FHR were assessed. We developed a testing algorithm for LQTS using FHR and GA as continuous predictors. Data included 1966 FHRs at 7–42 weeks’ GA from 267 pregnancies/164 LQTS families [220 LQTS type 1 (LQT1), 35 LQTS type 2 (LQT2), and 12 LQTS type 3 (LQT3)]. The FHRs were significantly lower in LQT1 and LQT2 but not LQT3 or LQTS negative. The LQT1 variants with non-nonsense and severe function loss (current density or β-adrenergic response) had lower FHR. Maternal β-blockers potentiated bradycardia in LQT1 and LQT2 but did not affect FHR in LQTS negative. A FHR/GA threshold predicted LQT1 and LQT2 with 74.9% accuracy, 71% sensitivity, and 81% specificity. Conclusion Genotype, LQT1 variant, and maternal β-blocker therapy affect FHR. A predictive threshold of FHR/GA significantly improves the accuracy, sensitivity, and specificity for LQT1 and LQT2, above the infant’s a priori 50% probability. We speculate this model may be useful in screening for LQTS in perinatal subjects without a known LQTS family history.

Funder

United States National Institute of Health

Italian Ministry of Health Ricerca Corrente

Mayo Clinic Windland Smith Rice Comprehensive Sudden Cardiac Death

PREDICT2

Australian Government’s Medical Research Future Fund

Health Research Council of New Zealand

United States National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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