Neurocysticercosis Among Zambian Children and Adolescents With Human Immunodeficiency Virus: A Geographic Information Systems Approach.


Journal

Pediatric neurology
ISSN: 1873-5150
Titre abrégé: Pediatr Neurol
Pays: United States
ID NLM: 8508183

Informations de publication

Date de publication:
01 2020
Historique:
received: 14 05 2019
revised: 27 07 2019
accepted: 29 07 2019
pubmed: 8 9 2019
medline: 15 12 2020
entrez: 8 9 2019
Statut: ppublish

Résumé

Neurocysticercosis is the most common parasitic infection of the brain and a leading cause of epilepsy in resource-limited settings. Although neurocysticercosis and human immunodeficiency virus coinfections have commonly been reported, there are few data on how they interact. As part of an observational study of human immunodeficiency virus and cognition in Lusaka, Zambia, we identified a cluster of subjects with neurocysticercosis. We hypothesized that the neighborhood of residence may be an important factor driving clustering of neurocysticercosis and used a geographic information systems approach to investigate this association. A total of 34 subjects with human immunodeficiency virus and 13 subjects without human immunodeficiency virus (aged eight to 17 years) enrolled in the HIV-Associated Neurocognitive Disorders in Zambia study, had magnetic resonance imaging of the brain performed, and were evaluated for neurocysticercosis. Quantitative geographic information systems was utilized to investigate the relationship between neighborhood of residence, HIV, and neurocysticercosis. Three of 34 subjects with human immunodeficiency virus (8.82%) and one of 13 controls were found to have neurocysticercosis. Geographic cluster analysis demonstrated that all subjects with neurocysticercosis were clustered in two adjacent neighborhoods (Chawama and Kanyama) with lower rates of piped water (Chawama: 22.8%, Kanyama: 26.7%) and flush toilets (Chawama: 14.0%, Kanyama: 14.0%) than the surrounding neighborhoods. We describe a cluster of patients with both neurocysticercosis and human immunodeficiency virus in Lusaka. Cases of neurocysticercosis clustered in neighborhoods with low rates of piped water and limited access to flush toilets. Geographic information systems may be a useful approach for studying the relationship between human immunodeficiency virus and neurocysticercosis. Larger studies are necessary to further investigate this association.

Sections du résumé

BACKGROUND
Neurocysticercosis is the most common parasitic infection of the brain and a leading cause of epilepsy in resource-limited settings. Although neurocysticercosis and human immunodeficiency virus coinfections have commonly been reported, there are few data on how they interact. As part of an observational study of human immunodeficiency virus and cognition in Lusaka, Zambia, we identified a cluster of subjects with neurocysticercosis. We hypothesized that the neighborhood of residence may be an important factor driving clustering of neurocysticercosis and used a geographic information systems approach to investigate this association.
METHODS
A total of 34 subjects with human immunodeficiency virus and 13 subjects without human immunodeficiency virus (aged eight to 17 years) enrolled in the HIV-Associated Neurocognitive Disorders in Zambia study, had magnetic resonance imaging of the brain performed, and were evaluated for neurocysticercosis. Quantitative geographic information systems was utilized to investigate the relationship between neighborhood of residence, HIV, and neurocysticercosis.
RESULTS
Three of 34 subjects with human immunodeficiency virus (8.82%) and one of 13 controls were found to have neurocysticercosis. Geographic cluster analysis demonstrated that all subjects with neurocysticercosis were clustered in two adjacent neighborhoods (Chawama and Kanyama) with lower rates of piped water (Chawama: 22.8%, Kanyama: 26.7%) and flush toilets (Chawama: 14.0%, Kanyama: 14.0%) than the surrounding neighborhoods.
CONCLUSION
We describe a cluster of patients with both neurocysticercosis and human immunodeficiency virus in Lusaka. Cases of neurocysticercosis clustered in neighborhoods with low rates of piped water and limited access to flush toilets. Geographic information systems may be a useful approach for studying the relationship between human immunodeficiency virus and neurocysticercosis. Larger studies are necessary to further investigate this association.

Identifiants

pubmed: 31492585
pii: S0887-8994(19)30491-6
doi: 10.1016/j.pediatrneurol.2019.07.017
pmc: PMC7864625
mid: NIHMS1652808
pii:
doi:

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

36-43

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS094037
Pays : United States
Organisme : NINDS NIH HHS
ID : L40 NS080264
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI045008
Pays : United States
Organisme : NINDS NIH HHS
ID : K23 NS117310
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI078498
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

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Auteurs

Alexandra Buda (A)

University of Rochester School of Medicine, Rochester, New York.

Owen Dean (O)

University of Rochester School of Medicine, Rochester, New York.

Heather R Adams (HR)

University of Rochester School of Medicine, Rochester, New York.

Sylvia Mwanza-Kabaghe (S)

Department of Psychology, University of Zambia, Lusaka, Zambia.

Michael J Potchen (MJ)

Department of Radiology, University of Rochester School of Medicine, Rochester, New York.

Esau G Mbewe (EG)

Division of Child Neurology, Department of Neurology, University of Rochester School of Medicine, Rochester, New York.

Pelekelo P Kabundula (PP)

Department of Psychology, University of Zambia, Lusaka, Zambia.

Sarah Mohajeri Moghaddam (SM)

Department of Radiology, University of Rochester School of Medicine, Rochester, New York.

Milimo Mweemba (M)

University Teaching Hospital, Neurology Research Office, Lusaka, Zambia.

Beauty Matoka (B)

University Teaching Hospital, Neurology Research Office, Lusaka, Zambia.

Manoj M Mathews (MM)

University of Zambia School of Medicine, Lusaka, Zambia.

Gretchen L Birbeck (GL)

University of Zambia School of Medicine, Lusaka, Zambia; Division of Epilepsy, Department of Neurology, Rochester, New York.

David R Bearden (DR)

Division of Child Neurology, Department of Neurology, University of Rochester School of Medicine, Rochester, New York. Electronic address: david_bearden@urmc.rochester.edu.

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Classifications MeSH