Fetal LQTS: Prospective Identification of Long QT Syndrome in Fetal Life

Sponsor
University of Colorado, Denver (Other)
Overall Status
Completed
CT.gov ID
NCT02876380
Collaborator
Children's Hospital Colorado (Other), University of Pavia (Other), University of Utah (Other), Mayo Clinic (Other), University of Helsinki (Other), University of Amsterdam (Other), University of Oslo (Other), University Hospital, Umeå (Other), Deutsches Herzzentrum Muenchen (Other), Vanderbilt University (Other), University of Bonn (Other), University of Tsukuba (Other), Eastern Virginia Medical School (Other)
25
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56.2
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Study Details

Study Description

Brief Summary

The postnatal diagnosis of Long QT Syndrome (LQTS) is suggested by a prolonged QT interval on 12 lead electrocardiogram (ECG), strengthened by a positive family history and/or characteristic arrhythmias and confirmed by genetic testing. However, for several reasons such LQTS testing cannot be performed successfully before birth. First, fetal ECG is not possible and direct measure of the fetal QT interval by magnetocardiography is limited to fewer than 10 sites world-wide. Second, while genetic testing can be performed in utero, there is risk to the pregnancy and the fetus. Third, although some fetuses present with arrhythmias easily recognized as LQTS (torsade des pointes (TdP) and/or 2° atrioventricular (AV) block, this is uncommon, occurring in <25% of fetal LQTS cases. Rather, the most common presentation of fetal LQTS is sinus bradycardia, a subtle rhythm disturbance that often is unappreciated to be abnormal. Consequently, the majority of LQTS cases are unsuspected and undiagnosed during fetal life, with dire consequences. For example, maternal medications commonly used during pregnancy can prolong the fetal QT interval and may provoke lethal fetal ventricular arrhythmias. But the most significant consequence is the missed opportunity for primary prevention of life threatening ventricular arrhythmias after birth because the infant is not suspected to have LQTS before birth. The over-arching goal of the study is to overcome the barriers to prenatal detection of LQTS. The investigators plan to do so by developing an algorithm using fetal heart rate (FHR) which will discriminate fetuses with or without LQTS.

Immediate Goal: The investigators propose a multicenter pre-birth observational cohort study to develop a Fetal Heart Rate (FHR)/Gestational Age (GA) algorithm from a cohort of fetuses recruited from 13 national and international centers where one parent is known by prior genetic testing to have a mutation in one of the common LQTS genes: potassium voltage-gated channel subfamily Q member 1 (KCNQ1), potassium voltage-gated channel subfamily H member 2 (KCNH2), or sodium voltage-gated channel alpha subunit 5 (SCN5A). The investigators have chosen this population because 1) These mutations are the most common genetic causes of LQTS, and 2) Offspring will have high risk of LQTS as inheritance of these LQTS gene mutations is autosomal dominant. Thus, progeny of parents with a known mutation are at high (50%) risk of having the same parental LQTS mutation. The algorithm will be developed using FHR measured serially throughout pregnancy. All offspring will undergo postnatal genetic testing for the parental mutation as the gold standard for diagnosing the presence or absence of LQTS.

Condition or Disease Intervention/Treatment Phase

    Detailed Description

    Ascertainment of LQTS, an inherited arrhythmia disorder in a group of conditions known as the channelopathies, is challenging before birth. Recently, in a retrospective study it was reported that a gestational age dependent bradycardia allows a much higher recognition of genotype positive LQTS than the standard obstetrical gestational age independent definition of bradycardia (Mitchell 2012).

    However, the fetal heart rate in pregnancies with maternal or paternal LQTS diagnosed prior to the pregnancy has not been evaluated prospectively from the first trimester to birth. Nor is it known if the fetal heart rate /gestational age profile might be mutation specific. In addition, the use of fetal heart rate to successfully distinguish between LQTS and normal fetuses of pregnancies in which a parent has a known mutation has not been tested.

    The investigators believe that fetuses with an LQTS mutation born to families in which the mother or father has an LQTS mutation will have slower heart compared to fetuses, shown after birth not to have the family mutation. If the investigators hypothesis is correct, these findings could be applied to the general population of pregnant women to prospectively identify fetuses with LQTS and without a known family history. Since a fetal proband has been led to the identification of unsuspecting family members, prospectively identifying affected fetuses would increase ascertainment of life-threatening mutations in all ages (Cuneo 2013).

    Study Design

    Study Type:
    Observational
    Actual Enrollment :
    25 participants
    Observational Model:
    Cohort
    Time Perspective:
    Other
    Official Title:
    Prospective Identification of Long QT Syndrome in Fetal Life
    Actual Study Start Date :
    Nov 1, 2014
    Actual Primary Completion Date :
    Jul 8, 2019
    Actual Study Completion Date :
    Jul 8, 2019

    Arms and Interventions

    Arm Intervention/Treatment
    Prospective cohort

    These are women who are currently pregnant and who have a LQTS mutation. This also includes women whose partner/father of the baby has a LQTS mutation. If the father of the child has the LQTS mutation, the father will also be enrolled.

    Retrospective cohort

    In this cohort the investigators will collect information about previous pregnancies affected by the LQTS mutation. Parents may enroll in both retrospective and prospective cohorts

    Outcome Measures

    Primary Outcome Measures

    1. Effectiveness of an Fetal Heart Rate/Gestational Age, FHR/GA, Algorithm [5 years]

      The investigators hypothesize that from this fetal cohort, they can construct a FHR/GA algorithm that will discriminate fetuses who inherit the parental LQTS mutation from those who do not, with an area under the ROC ≥0.75.

    2. Differences in the Receiver Operating Characteristic (ROC) of FHR/GA vs gold standard of genetic testing [5 years]

      The area under the ROC of the FHR/GA algorithm compared to a gold standard of genetic testing will remain ≥0.75 across mutation types and offspring sex. Based on power calculations using preliminary studies, the investigators estimate they can test this hypothesis by study of 200 fetal subjects.

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    18 Years to 45 Years
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No

    Inclusion Criteria: (Prospective arm)

    1. 18-45 years of age

    2. Pregnant women with a previously identified mutation in a known LQTS gene or pregnant women whose partner (and the father of the baby) has a previously identified mutation in a known LQTS gene will be invited to participate. If the pregnant partner of a man with a LQTS gene is enrolled, then the man/father of child will be enrolled as well.

    3. Women at 7-30 weeks of gestation

    Exclusion Criteria: (Prospective arm)

    1. Phenotype positive but genotype negative pregnant woman or father of the fetus,

    2. Fetuses with congenital or chromosomal anomaly identified before or after birth

    3. Pregnant women who present beyond 30 weeks of pregnancy.

    Inclusion Criteria (Retrospective arm)

    1. 18-45 years of age

    2. Women with a previous pregnancy and a known LQTS gene or where the father of the baby had a known LQTS gene

    3. Women with a mutation in a known LQTS gene, or

    4. Women whose partner/father of the baby has a mutation in a known LQTS gene (The father of the child will be enrolled if mother of child is enrolled)

    Exclusion Criteria (Retrospective arm)

    1. Phenotype positive but genotype negative pregnant woman or father of the fetus,

    2. Fetuses with congenital or chromosomal anomaly identified before or after birth

    3. Fetal heart rate data unavailable prior to 30 weeks of pregnancy

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Children's Hospital Colorado Aurora Colorado United States 80045

    Sponsors and Collaborators

    • University of Colorado, Denver
    • Children's Hospital Colorado
    • University of Pavia
    • University of Utah
    • Mayo Clinic
    • University of Helsinki
    • University of Amsterdam
    • University of Oslo
    • University Hospital, Umeå
    • Deutsches Herzzentrum Muenchen
    • Vanderbilt University
    • University of Bonn
    • University of Tsukuba
    • Eastern Virginia Medical School

    Investigators

    • Principal Investigator: Bettina F Cuneo, MD, University of Colorado, Denver

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    University of Colorado, Denver
    ClinicalTrials.gov Identifier:
    NCT02876380
    Other Study ID Numbers:
    • 13-3129
    First Posted:
    Aug 23, 2016
    Last Update Posted:
    Feb 21, 2022
    Last Verified:
    Feb 1, 2022
    Individual Participant Data (IPD) Sharing Statement:
    No
    Plan to Share IPD:
    No
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Feb 21, 2022