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

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 u...

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Autores principales: Kaizer, Alexander M, Winbo, Annika, Clur, Sally-Ann B, Etheridge, Susan P, Ackerman, Michael J, Horigome, Hitoshi, Herberg, Ulrike, Dagradi, Federica, Spazzolini, Carla, Killen, Stacy A S, Wacker-Gussmann, Annette, Wilde, Arthur A M, Sinkovskaya, Elena, Abuhamad, Alfred, Torchio, Margherita, Ng, Chai-Ann, Rydberg, Annika, Schwartz, Peter J, Cuneo, Bettina F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655062/
https://www.ncbi.nlm.nih.gov/pubmed/37975542
http://dx.doi.org/10.1093/europace/euad319
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author Kaizer, Alexander M
Winbo, Annika
Clur, Sally-Ann B
Etheridge, Susan P
Ackerman, Michael J
Horigome, Hitoshi
Herberg, Ulrike
Dagradi, Federica
Spazzolini, Carla
Killen, Stacy A S
Wacker-Gussmann, Annette
Wilde, Arthur A M
Sinkovskaya, Elena
Abuhamad, Alfred
Torchio, Margherita
Ng, Chai-Ann
Rydberg, Annika
Schwartz, Peter J
Cuneo, Bettina F
author_facet Kaizer, Alexander M
Winbo, Annika
Clur, Sally-Ann B
Etheridge, Susan P
Ackerman, Michael J
Horigome, Hitoshi
Herberg, Ulrike
Dagradi, Federica
Spazzolini, Carla
Killen, Stacy A S
Wacker-Gussmann, Annette
Wilde, Arthur A M
Sinkovskaya, Elena
Abuhamad, Alfred
Torchio, Margherita
Ng, Chai-Ann
Rydberg, Annika
Schwartz, Peter J
Cuneo, Bettina F
author_sort Kaizer, Alexander M
collection PubMed
description 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.
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spelling pubmed-106550622023-11-17 Effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long QT syndrome Kaizer, Alexander M Winbo, Annika Clur, Sally-Ann B Etheridge, Susan P Ackerman, Michael J Horigome, Hitoshi Herberg, Ulrike Dagradi, Federica Spazzolini, Carla Killen, Stacy A S Wacker-Gussmann, Annette Wilde, Arthur A M Sinkovskaya, Elena Abuhamad, Alfred Torchio, Margherita Ng, Chai-Ann Rydberg, Annika Schwartz, Peter J Cuneo, Bettina F Europace Clinical Research 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. Oxford University Press 2023-11-17 /pmc/articles/PMC10655062/ /pubmed/37975542 http://dx.doi.org/10.1093/europace/euad319 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Clinical Research
Kaizer, Alexander M
Winbo, Annika
Clur, Sally-Ann B
Etheridge, Susan P
Ackerman, Michael J
Horigome, Hitoshi
Herberg, Ulrike
Dagradi, Federica
Spazzolini, Carla
Killen, Stacy A S
Wacker-Gussmann, Annette
Wilde, Arthur A M
Sinkovskaya, Elena
Abuhamad, Alfred
Torchio, Margherita
Ng, Chai-Ann
Rydberg, Annika
Schwartz, Peter J
Cuneo, Bettina F
Effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long QT syndrome
title Effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long QT syndrome
title_full Effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long QT syndrome
title_fullStr Effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long QT syndrome
title_full_unstemmed Effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long QT syndrome
title_short Effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long QT syndrome
title_sort effects of cohort, genotype, variant, and maternal β-blocker treatment on foetal heart rate predictors of inherited long qt syndrome
topic Clinical Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655062/
https://www.ncbi.nlm.nih.gov/pubmed/37975542
http://dx.doi.org/10.1093/europace/euad319
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