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African Cardiomyopathy and Myocarditis Registry Program (IMHOTEP)
African Cardiomyopathy and Myocarditis Registry Program logo
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Sample details

IMHOTEP is designed to clarify the epidemiology, clinical features, genetics, environmental factors, outcome and management of all forms of cardiomyopathy and myocarditis in people from all regions of Africa. Beginning in 2016, the program has been recruiting patients aged at least 13 years with a diagnosis of cardiomyopathy or myocarditis who underwent diagnostic evaluation at participating centres in South Africa and Mozambique. As of 2024, the program has recruited over 600 patients. Participants are followed up annually. Plans are in place to expand recruitment to Botswana, Zimbabwe, Tanzania, Kenya, Uganda, Sudan, Nigeria, Guinea, Sierra Leone and Egypt.

Study design
Registry, Cohort - clinical, Cohort

Number of participants at first data collection

665 (patients)

Recruitment is ongoing

Age at first data collection

≥ 13 years (patients)

Participant year of birth

Varied (patients)

Participant sex
All

Representative sample at baseline?
No

Sample features

Adults
Cardiovascular disease patients
Children and young people
Patients and clinical populations
Dataset details
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Countries

Mozambique, South Africa

Year of first data collection

2016

Primary Institutions

University of Cape Town (iYunivesithi yaseKapa, Universiteit van Kaapstad, UCT)

University of the Free State, Bloemfontein (Universiteit van die Vrystaat, Yunivesithi ya Freistata)

University of the Witwatersrand, Johannesburg

Links

chdru.uct.ac.za/IMHOTEP

gtr.ukri.org/projects

doi.org/10.1016/j.jacadv.2024.100952

health.uct.ac.za/sites/default/files/content_migration/health_uct_ac_za/1079/files/Imhotep%2520Poster%2520for%2520the%25202017%2520WCPCCS.pdf

Funders

GlaxoSmithKline (GSK)

Medical Research Council (MRC)

Newton Fund

South African Medical Research Council (SAMRC)

Ongoing?
Yes

Data types collected

dataLinkage
Quantitative data collection
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
  • Mortality data
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Cardiovascular health and disease
    Clinical outcomes
    Diagnostic information
    Genetics
    Morbidity and mortality
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