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An integrated modelling methodology for estimating global incidence and prevalence of hereditary spastic paraplegia subtypes SPG4, SPG7, SPG11, and SPG15
BACKGROUND: Hereditary spastic paraplegias (HSPs) are progressively debilitating neurodegenerative disorders that follow heterogenous patterns of Mendelian inheritance. Available epidemiological evidence provides limited incidence and prevalence data, especially at the genetic subtype level, prevent...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944001/ https://www.ncbi.nlm.nih.gov/pubmed/35331153 http://dx.doi.org/10.1186/s12883-022-02595-4 |
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author | Vander Stichele, Geert Durr, Alexandra Yoon, Grace Schüle, Rebecca Blackstone, Craig Esposito, Giovanni Buffel, Connor Oliveira, Inês Freitag, Christian van Rooijen, Stephane Hoffmann, Stéphanie Thielemans, Leen Cowling, Belinda S. |
author_facet | Vander Stichele, Geert Durr, Alexandra Yoon, Grace Schüle, Rebecca Blackstone, Craig Esposito, Giovanni Buffel, Connor Oliveira, Inês Freitag, Christian van Rooijen, Stephane Hoffmann, Stéphanie Thielemans, Leen Cowling, Belinda S. |
author_sort | Vander Stichele, Geert |
collection | PubMed |
description | BACKGROUND: Hereditary spastic paraplegias (HSPs) are progressively debilitating neurodegenerative disorders that follow heterogenous patterns of Mendelian inheritance. Available epidemiological evidence provides limited incidence and prevalence data, especially at the genetic subtype level, preventing a realistic estimation of the true social burden of the disease. The objectives of this study were to (1) review the literature on epidemiology of HSPs; and (2) develop an epidemiological model of the prevalence of HSP, focusing on four common HSP genetic subtypes at the country and region-level. METHODS: A model was constructed estimating the incidence at birth, survival, and prevalence of four genetic subtypes of HSP based on the most appropriate published literature. The key model parameters were assessed by HSP clinical experts, who provided feedback on the validity of assumptions. A model was then finalized and validated through comparison of outputs against available evidence. The global, regional, and national prevalence and patient pool were calculated per geographic region and per genetic subtype. RESULTS: The HSP global prevalence was estimated to be 3.6 per 100,000 for all HSP forms, whilst the estimated global prevalence per genetic subtype was 0.90 (SPG4), 0.22 (SPG7), 0.34 (SPG11), and 0.13 (SPG15), respectively. This equates to an estimated 3365 (SPG4) and 872 (SPG11) symptomatic patients, respectively, in the USA. CONCLUSIONS: This is the first epidemiological model of HSP prevalence at the genetic subtype-level reported at multiple geographic levels. This study offers additional data to better capture the burden of illness due to mutations in common genes causing HSP, that can inform public health policy and healthcare service planning, especially in regions with higher estimated prevalence of HSP. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-022-02595-4. |
format | Online Article Text |
id | pubmed-8944001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89440012022-03-25 An integrated modelling methodology for estimating global incidence and prevalence of hereditary spastic paraplegia subtypes SPG4, SPG7, SPG11, and SPG15 Vander Stichele, Geert Durr, Alexandra Yoon, Grace Schüle, Rebecca Blackstone, Craig Esposito, Giovanni Buffel, Connor Oliveira, Inês Freitag, Christian van Rooijen, Stephane Hoffmann, Stéphanie Thielemans, Leen Cowling, Belinda S. BMC Neurol Research Article BACKGROUND: Hereditary spastic paraplegias (HSPs) are progressively debilitating neurodegenerative disorders that follow heterogenous patterns of Mendelian inheritance. Available epidemiological evidence provides limited incidence and prevalence data, especially at the genetic subtype level, preventing a realistic estimation of the true social burden of the disease. The objectives of this study were to (1) review the literature on epidemiology of HSPs; and (2) develop an epidemiological model of the prevalence of HSP, focusing on four common HSP genetic subtypes at the country and region-level. METHODS: A model was constructed estimating the incidence at birth, survival, and prevalence of four genetic subtypes of HSP based on the most appropriate published literature. The key model parameters were assessed by HSP clinical experts, who provided feedback on the validity of assumptions. A model was then finalized and validated through comparison of outputs against available evidence. The global, regional, and national prevalence and patient pool were calculated per geographic region and per genetic subtype. RESULTS: The HSP global prevalence was estimated to be 3.6 per 100,000 for all HSP forms, whilst the estimated global prevalence per genetic subtype was 0.90 (SPG4), 0.22 (SPG7), 0.34 (SPG11), and 0.13 (SPG15), respectively. This equates to an estimated 3365 (SPG4) and 872 (SPG11) symptomatic patients, respectively, in the USA. CONCLUSIONS: This is the first epidemiological model of HSP prevalence at the genetic subtype-level reported at multiple geographic levels. This study offers additional data to better capture the burden of illness due to mutations in common genes causing HSP, that can inform public health policy and healthcare service planning, especially in regions with higher estimated prevalence of HSP. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12883-022-02595-4. BioMed Central 2022-03-24 /pmc/articles/PMC8944001/ /pubmed/35331153 http://dx.doi.org/10.1186/s12883-022-02595-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Vander Stichele, Geert Durr, Alexandra Yoon, Grace Schüle, Rebecca Blackstone, Craig Esposito, Giovanni Buffel, Connor Oliveira, Inês Freitag, Christian van Rooijen, Stephane Hoffmann, Stéphanie Thielemans, Leen Cowling, Belinda S. An integrated modelling methodology for estimating global incidence and prevalence of hereditary spastic paraplegia subtypes SPG4, SPG7, SPG11, and SPG15 |
title | An integrated modelling methodology for estimating global incidence and prevalence of hereditary spastic paraplegia subtypes SPG4, SPG7, SPG11, and SPG15 |
title_full | An integrated modelling methodology for estimating global incidence and prevalence of hereditary spastic paraplegia subtypes SPG4, SPG7, SPG11, and SPG15 |
title_fullStr | An integrated modelling methodology for estimating global incidence and prevalence of hereditary spastic paraplegia subtypes SPG4, SPG7, SPG11, and SPG15 |
title_full_unstemmed | An integrated modelling methodology for estimating global incidence and prevalence of hereditary spastic paraplegia subtypes SPG4, SPG7, SPG11, and SPG15 |
title_short | An integrated modelling methodology for estimating global incidence and prevalence of hereditary spastic paraplegia subtypes SPG4, SPG7, SPG11, and SPG15 |
title_sort | integrated modelling methodology for estimating global incidence and prevalence of hereditary spastic paraplegia subtypes spg4, spg7, spg11, and spg15 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944001/ https://www.ncbi.nlm.nih.gov/pubmed/35331153 http://dx.doi.org/10.1186/s12883-022-02595-4 |
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