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Differences in Short QT Syndrome Subtypes: A Systematic Literature Review and Pooled Analysis

BACKGROUND: Short QT syndrome (SQTS) is a rare syndrome and affects different types of genes. However, data on differences of clinical profile and outcome of different SQTS types are sparse. METHODS: We conducted a pooled analysis of 110 SQTS patients. Patients have been diagnosed between 2000 and 2...

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Autores principales: Raschwitz, Laura S., El-Battrawy, Ibrahim, Schlentrich, Kim, Besler, Johanna, Veith, Michael, Roterberg, Gretje, Liebe, Volker, Schimpf, Rainer, Lang, Siegfried, Wolpert, Christian, Zhou, Xiaobo, Akin, Ibrahim, Borggrefe, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6979065/
https://www.ncbi.nlm.nih.gov/pubmed/32010184
http://dx.doi.org/10.3389/fgene.2019.01312
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author Raschwitz, Laura S.
El-Battrawy, Ibrahim
Schlentrich, Kim
Besler, Johanna
Veith, Michael
Roterberg, Gretje
Liebe, Volker
Schimpf, Rainer
Lang, Siegfried
Wolpert, Christian
Zhou, Xiaobo
Akin, Ibrahim
Borggrefe, Martin
author_facet Raschwitz, Laura S.
El-Battrawy, Ibrahim
Schlentrich, Kim
Besler, Johanna
Veith, Michael
Roterberg, Gretje
Liebe, Volker
Schimpf, Rainer
Lang, Siegfried
Wolpert, Christian
Zhou, Xiaobo
Akin, Ibrahim
Borggrefe, Martin
author_sort Raschwitz, Laura S.
collection PubMed
description BACKGROUND: Short QT syndrome (SQTS) is a rare syndrome and affects different types of genes. However, data on differences of clinical profile and outcome of different SQTS types are sparse. METHODS: We conducted a pooled analysis of 110 SQTS patients. Patients have been diagnosed between 2000 and 2017 at our institution (n = 12) and revealed using a literature review (n = 98). 29 studies were identified by analysing systematic data bases (PubMed, Web of Science, Cochrane Libary, Cinahl). RESULTS: 67 patients with genotype positive SQTS origin and 43 patients with genotype negative origin were found. A significant difference is documented between the sex with a higher predominance of male in genotype negative SQTS patients and predominance of females in genotype positive SQTS patients (male 52% versus 84%, female 45% versus 14%; p = 0.0016). No relevant difference of their median age (genotype positive 27 ± 19 versus genotype negative 29 ± 15; p = 0.48) was found. Asymptomatic patients and patients reporting symptoms such as syncope, sudden cardiac death, atrial flutter and ventricular fibrillation documented in both groups were similar except atrial fibrillation (genotype positive 19% versus genotype negative 0%; p = 0.0055). The QTc interval was not significantly different in both groups (genotype positive 315 ± 32 versus genotype negative 320 ± 19; p = 0.30). The treatments (medical treatment and ICD implantation) in both groups were comparable. Electrophysiology studies were not significantly higher documented in patients with genotype positive and negative origin (24% versus 9%; p = 0.075). Events at follow up such as VT, VF, and SCD were not higher presented in patients with genotype positive (13% versus 9%) (p = 0.25). 54% of genotype positive SQTS patients showed SQTS 1 followed by STQS 2 (21%) and SQTS 3 (10%). CONCLUSIONS: The long-term risk of a malignant arrhythmic event is not higher in patients with genotype positive. However, patients with genotype positive present themselves more often with AF with a female predominance. Also, other events at follow up such as syncope, atrial flutter and palpitation were not significantly higher (9% versus 0%; p = 0.079).
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spelling pubmed-69790652020-02-01 Differences in Short QT Syndrome Subtypes: A Systematic Literature Review and Pooled Analysis Raschwitz, Laura S. El-Battrawy, Ibrahim Schlentrich, Kim Besler, Johanna Veith, Michael Roterberg, Gretje Liebe, Volker Schimpf, Rainer Lang, Siegfried Wolpert, Christian Zhou, Xiaobo Akin, Ibrahim Borggrefe, Martin Front Genet Genetics BACKGROUND: Short QT syndrome (SQTS) is a rare syndrome and affects different types of genes. However, data on differences of clinical profile and outcome of different SQTS types are sparse. METHODS: We conducted a pooled analysis of 110 SQTS patients. Patients have been diagnosed between 2000 and 2017 at our institution (n = 12) and revealed using a literature review (n = 98). 29 studies were identified by analysing systematic data bases (PubMed, Web of Science, Cochrane Libary, Cinahl). RESULTS: 67 patients with genotype positive SQTS origin and 43 patients with genotype negative origin were found. A significant difference is documented between the sex with a higher predominance of male in genotype negative SQTS patients and predominance of females in genotype positive SQTS patients (male 52% versus 84%, female 45% versus 14%; p = 0.0016). No relevant difference of their median age (genotype positive 27 ± 19 versus genotype negative 29 ± 15; p = 0.48) was found. Asymptomatic patients and patients reporting symptoms such as syncope, sudden cardiac death, atrial flutter and ventricular fibrillation documented in both groups were similar except atrial fibrillation (genotype positive 19% versus genotype negative 0%; p = 0.0055). The QTc interval was not significantly different in both groups (genotype positive 315 ± 32 versus genotype negative 320 ± 19; p = 0.30). The treatments (medical treatment and ICD implantation) in both groups were comparable. Electrophysiology studies were not significantly higher documented in patients with genotype positive and negative origin (24% versus 9%; p = 0.075). Events at follow up such as VT, VF, and SCD were not higher presented in patients with genotype positive (13% versus 9%) (p = 0.25). 54% of genotype positive SQTS patients showed SQTS 1 followed by STQS 2 (21%) and SQTS 3 (10%). CONCLUSIONS: The long-term risk of a malignant arrhythmic event is not higher in patients with genotype positive. However, patients with genotype positive present themselves more often with AF with a female predominance. Also, other events at follow up such as syncope, atrial flutter and palpitation were not significantly higher (9% versus 0%; p = 0.079). Frontiers Media S.A. 2020-01-17 /pmc/articles/PMC6979065/ /pubmed/32010184 http://dx.doi.org/10.3389/fgene.2019.01312 Text en Copyright © 2020 Raschwitz, El-Battrawy, Schlentrich, Besler, Veith, Roterberg, Liebe, Schimpf, Lang, Wolpert, Zhou, Akin and Borggrefe http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Raschwitz, Laura S.
El-Battrawy, Ibrahim
Schlentrich, Kim
Besler, Johanna
Veith, Michael
Roterberg, Gretje
Liebe, Volker
Schimpf, Rainer
Lang, Siegfried
Wolpert, Christian
Zhou, Xiaobo
Akin, Ibrahim
Borggrefe, Martin
Differences in Short QT Syndrome Subtypes: A Systematic Literature Review and Pooled Analysis
title Differences in Short QT Syndrome Subtypes: A Systematic Literature Review and Pooled Analysis
title_full Differences in Short QT Syndrome Subtypes: A Systematic Literature Review and Pooled Analysis
title_fullStr Differences in Short QT Syndrome Subtypes: A Systematic Literature Review and Pooled Analysis
title_full_unstemmed Differences in Short QT Syndrome Subtypes: A Systematic Literature Review and Pooled Analysis
title_short Differences in Short QT Syndrome Subtypes: A Systematic Literature Review and Pooled Analysis
title_sort differences in short qt syndrome subtypes: a systematic literature review and pooled analysis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6979065/
https://www.ncbi.nlm.nih.gov/pubmed/32010184
http://dx.doi.org/10.3389/fgene.2019.01312
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