Clinical and genetic insights into non-compaction: a meta-analysis and systematic review on 7598 individuals

  • Elham Kayvanpour
  • Farbod Sedaghat-Hamedani
  • Weng-Tein Gi
  • Oguz Firat Tugrul
  • Ali Amr
  • Jan Haas
  • Feng Zhu
  • Philipp Ehlermann
  • Lorenz Uhlmann
  • Hugo A. Katus
  • Benjamin MederEmail author
Original Paper



Left ventricular non-compaction has been increasingly diagnosed in recent years. However, it is still debated whether non-compaction is a pathological condition or a physiological trait. In this meta-analysis and systematic review, we compare studies, which investigated these two different perspectives. Furthermore, we provide a comprehensive overview on the clinical outcome as well as genetic background of left ventricular non-compaction cardiomyopathy in adult patients.

Methods and results

We retrieved PubMed/Medline literatures in English language from 2000 to 19/09/2018 on clinical outcome and genotype of patients with non-compaction. We summarized and extensively reviewed all studies that passed selection criteria and performed a meta-analysis on key phenotypic parameters. Altogether, 35 studies with 2271 non-compaction patients were included in our meta-analysis. The mean age at diagnosis was the mid of their fifth decade. Two-thirds of patients were male. Congenital heart diseases including atrial or ventricular septum defect or Ebstein anomaly were reported in 7% of patients. Twenty-four percent presented with family history of cardiomyopathy. The mean frequency of neuromuscular diseases was 5%. Heart rhythm abnormalities were reported frequently: conduction disease in 26%, supraventricular tachycardia in 17%, and sustained or non-sustained ventricular tachycardia in 18% of patients. Three important outcome measures were reported including systemic thromboembolic events with a mean frequency of 9%, heart transplantation with 4%, and adequate ICD therapy with 15%. Nine studies investigated the genetics of non-compaction cardiomyopathy. The most frequently mutated gene was TTN with a pooled frequency of 11%. The average frequency of MYH7 mutations was 9%, for MYBPC3 mutations 5%, and for CASQ2 and LDB3 3% each. TPM1, MIB1, ACTC1, and LMNA mutations had an average frequency of 2% each. Mutations in PLN, HCN4, TAZ, DTNA, TNNT2, and RBM20 were reported with a frequency of 1% each. We also summarized the results of eight studies investigating the non-compaction in altogether 5327 athletes, pregnant women, patients with sickle cell disease, as well as individuals from population-based cohorts, in which the presence of left ventricular hypertrabeculation ranged from 1.3 to 37%.


The summarized data indicate that non-compaction may lead to unfavorable outcome in different cardiomyopathy entities. The presence of key features in a multimodal diagnostic approach could distinguish between benign morphological trait and manifest cardiomyopathy.


Left ventricular non-compaction Genetic background Clinical outcome 


Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Elham Kayvanpour
    • 1
    • 2
  • Farbod Sedaghat-Hamedani
    • 1
    • 2
  • Weng-Tein Gi
    • 1
    • 2
  • Oguz Firat Tugrul
    • 1
    • 2
  • Ali Amr
    • 1
    • 2
  • Jan Haas
    • 1
    • 2
  • Feng Zhu
    • 1
    • 4
  • Philipp Ehlermann
    • 1
  • Lorenz Uhlmann
    • 3
  • Hugo A. Katus
    • 1
    • 2
  • Benjamin Meder
    • 1
    • 2
    • 5
    Email author
  1. 1.Department of Medicine III, Institute for CardiomyopathyUniversity of HeidelbergHeidelbergGermany
  2. 2.DZHK (German Centre for Cardiovascular Research)BerlinGermany
  3. 3.Institute of Medical Biometry and InformaticsUniversity of HeidelbergHeidelbergGermany
  4. 4.Department of Cardiology, Institute of Cardiology, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
  5. 5.Department of Genetics, Stanford Genome Technology CenterStanford University School of MedicineStanfordUSA

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