A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/52837 https://doi.org/10.1080/21678421.2022.2102429 |
Resumo: | Objective: amyotrophic lateral sclerosis (ALS) is a rare and fatal neurodegenerative disorder with variable incidence and prevalence worldwide. However, clinical-epidemiological studies on ALS are scarce in Brazil. Thus, this study investigated whether ALS incidence had uniform spatial distribution in population-based cluster analysis in Rio Grande do Norte state (Brazil), from 2005 to 2018. Methods: new cases of ALS were identified in a database of the ALS multidisciplinary care center of the Onofre Lopes University Hospital in Natal (Rio Grande do Norte, Brazil). Approaches were based on incidence (empirical Bayes estimator and Moran's I analysis) and cluster analyses (Moran scatter plot and spatial correlogram). Results: a total of 177 patients (59% males) participated in the study; the mean age of ALS onset was 57 years. Mean annual incidence of ALS was 0.3769 per 100,000 inhabitants (95% confidence interval of 0.0889), higher in males than in females (0.4516 per 100,000 vs. 0.3044 per 100,000). According to spatial statistics, patients were homogeneously distributed throughout the studied area. Conclusion: a low estimate was observed compared with other populations. Results did not indicate areas of increased risk or significant spatial geographic dependence, suggesting a random ALS incidence in Rio Grande do Norte. |
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Gonçalves, Maria De JesusOliveira, Roberto Teodoro Gurgel DeSantana, Glauciane CostaFregonezi, Guilherme Augusto De FreitasVale, Sancha Helena De LimaLais, Lucia Leitehttps://orcid.org/0000-0003-2580-485X2023-06-21T23:02:26Z2023-06-21T23:02:26Z2022OLIVEIRA, Roberto Teodoro Gurgel de; SANTANA, Glauciane Costa; GONÇALVES, Maria de Jesus; FREGONEZI, Guilherme Augusto de Freitas; VALE, Sancha Helena de Lima; LEITE-LAIS, Lucia; DOURADO, Mário Emílio Teixeira. A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018. Amyotrophic Lateral Sclerosis And Frontotemporal Degeneration, [S.L.], v. 24, n. 1-2, p. 117-124, 2 ago. 2022. Informa UK Limited. http://dx.doi.org/10.1080/21678421.2022.2102429. Disponível em: https://www.tandfonline.com/doi/full/10.1080/21678421.2022.2102429. Acesso em: 19 jun. 2023.https://repositorio.ufrn.br/handle/123456789/52837https://doi.org/10.1080/21678421.2022.2102429Taylor and Francis Groupamyotrophic lateral sclerosismotor neuron diseaseepidemiologyincidencespatial analysisA geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleObjective: amyotrophic lateral sclerosis (ALS) is a rare and fatal neurodegenerative disorder with variable incidence and prevalence worldwide. However, clinical-epidemiological studies on ALS are scarce in Brazil. Thus, this study investigated whether ALS incidence had uniform spatial distribution in population-based cluster analysis in Rio Grande do Norte state (Brazil), from 2005 to 2018. Methods: new cases of ALS were identified in a database of the ALS multidisciplinary care center of the Onofre Lopes University Hospital in Natal (Rio Grande do Norte, Brazil). Approaches were based on incidence (empirical Bayes estimator and Moran's I analysis) and cluster analyses (Moran scatter plot and spatial correlogram). Results: a total of 177 patients (59% males) participated in the study; the mean age of ALS onset was 57 years. Mean annual incidence of ALS was 0.3769 per 100,000 inhabitants (95% confidence interval of 0.0889), higher in males than in females (0.4516 per 100,000 vs. 0.3044 per 100,000). According to spatial statistics, patients were homogeneously distributed throughout the studied area. Conclusion: a low estimate was observed compared with other populations. Results did not indicate areas of increased risk or significant spatial geographic dependence, suggesting a random ALS incidence in Rio Grande do Norte.engreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNinfo:eu-repo/semantics/openAccessORIGINALGeographicalStudyAmyotrophic_Gonçalves_2022.pdfGeographicalStudyAmyotrophic_Gonçalves_2022.pdfapplication/pdf1976396https://repositorio.ufrn.br/bitstream/123456789/52837/1/GeographicalStudyAmyotrophic_Gon%c3%a7alves_2022.pdf6acdb7716667c1ab3fd25c017add9fbfMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/52837/2/license.txte9597aa2854d128fd968be5edc8a28d9MD52123456789/528372023-06-21 20:02:27.032oai:https://repositorio.ufrn.br:123456789/52837Tk9OLUVYQ0xVU0lWRSBESVNUUklCVVRJT04gTElDRU5TRQoKCkJ5IHNpZ25pbmcgYW5kIGRlbGl2ZXJpbmcgdGhpcyBsaWNlbnNlLCBNci4gKGF1dGhvciBvciBjb3B5cmlnaHQgaG9sZGVyKToKCgphKSBHcmFudHMgdGhlIFVuaXZlcnNpZGFkZSBGZWRlcmFsIFJpbyBHcmFuZGUgZG8gTm9ydGUgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgb2YKcmVwcm9kdWNlLCBjb252ZXJ0IChhcyBkZWZpbmVkIGJlbG93KSwgY29tbXVuaWNhdGUgYW5kIC8gb3IKZGlzdHJpYnV0ZSB0aGUgZGVsaXZlcmVkIGRvY3VtZW50IChpbmNsdWRpbmcgYWJzdHJhY3QgLyBhYnN0cmFjdCkgaW4KZGlnaXRhbCBvciBwcmludGVkIGZvcm1hdCBhbmQgaW4gYW55IG1lZGl1bS4KCmIpIERlY2xhcmVzIHRoYXQgdGhlIGRvY3VtZW50IHN1Ym1pdHRlZCBpcyBpdHMgb3JpZ2luYWwgd29yaywgYW5kIHRoYXQKeW91IGhhdmUgdGhlIHJpZ2h0IHRvIGdyYW50IHRoZSByaWdodHMgY29udGFpbmVkIGluIHRoaXMgbGljZW5zZS4gRGVjbGFyZXMKdGhhdCB0aGUgZGVsaXZlcnkgb2YgdGhlIGRvY3VtZW50IGRvZXMgbm90IGluZnJpbmdlLCBhcyBmYXIgYXMgaXQgaXMKdGhlIHJpZ2h0cyBvZiBhbnkgb3RoZXIgcGVyc29uIG9yIGVudGl0eS4KCmMpIElmIHRoZSBkb2N1bWVudCBkZWxpdmVyZWQgY29udGFpbnMgbWF0ZXJpYWwgd2hpY2ggZG9lcyBub3QKcmlnaHRzLCBkZWNsYXJlcyB0aGF0IGl0IGhhcyBvYnRhaW5lZCBhdXRob3JpemF0aW9uIGZyb20gdGhlIGhvbGRlciBvZiB0aGUKY29weXJpZ2h0IHRvIGdyYW50IHRoZSBVbml2ZXJzaWRhZGUgRmVkZXJhbCBkbyBSaW8gR3JhbmRlIGRvIE5vcnRlIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdCB0aGlzIG1hdGVyaWFsIHdob3NlIHJpZ2h0cyBhcmUgb2YKdGhpcmQgcGFydGllcyBpcyBjbGVhcmx5IGlkZW50aWZpZWQgYW5kIHJlY29nbml6ZWQgaW4gdGhlIHRleHQgb3IKY29udGVudCBvZiB0aGUgZG9jdW1lbnQgZGVsaXZlcmVkLgoKSWYgdGhlIGRvY3VtZW50IHN1Ym1pdHRlZCBpcyBiYXNlZCBvbiBmdW5kZWQgb3Igc3VwcG9ydGVkIHdvcmsKYnkgYW5vdGhlciBpbnN0aXR1dGlvbiBvdGhlciB0aGFuIHRoZSBVbml2ZXJzaWRhZGUgRmVkZXJhbCBkbyBSaW8gR3JhbmRlIGRvIE5vcnRlLCBkZWNsYXJlcyB0aGF0IGl0IGhhcyBmdWxmaWxsZWQgYW55IG9ibGlnYXRpb25zIHJlcXVpcmVkIGJ5IHRoZSByZXNwZWN0aXZlIGFncmVlbWVudCBvciBhZ3JlZW1lbnQuCgpUaGUgVW5pdmVyc2lkYWRlIEZlZGVyYWwgZG8gUmlvIEdyYW5kZSBkbyBOb3J0ZSB3aWxsIGNsZWFybHkgaWRlbnRpZnkgaXRzIG5hbWUgKHMpIGFzIHRoZSBhdXRob3IgKHMpIG9yIGhvbGRlciAocykgb2YgdGhlIGRvY3VtZW50J3MgcmlnaHRzCmRlbGl2ZXJlZCwgYW5kIHdpbGwgbm90IG1ha2UgYW55IGNoYW5nZXMsIG90aGVyIHRoYW4gdGhvc2UgcGVybWl0dGVkIGJ5CnRoaXMgbGljZW5zZQo=Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2023-06-21T23:02:27Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018 |
title |
A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018 |
spellingShingle |
A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018 Gonçalves, Maria De Jesus amyotrophic lateral sclerosis motor neuron disease epidemiology incidence spatial analysis |
title_short |
A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018 |
title_full |
A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018 |
title_fullStr |
A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018 |
title_full_unstemmed |
A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018 |
title_sort |
A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018 |
author |
Gonçalves, Maria De Jesus |
author_facet |
Gonçalves, Maria De Jesus Oliveira, Roberto Teodoro Gurgel De Santana, Glauciane Costa Fregonezi, Guilherme Augusto De Freitas Vale, Sancha Helena De Lima Lais, Lucia Leite |
author_role |
author |
author2 |
Oliveira, Roberto Teodoro Gurgel De Santana, Glauciane Costa Fregonezi, Guilherme Augusto De Freitas Vale, Sancha Helena De Lima Lais, Lucia Leite |
author2_role |
author author author author author |
dc.contributor.authorID.pt_BR.fl_str_mv |
https://orcid.org/0000-0003-2580-485X |
dc.contributor.author.fl_str_mv |
Gonçalves, Maria De Jesus Oliveira, Roberto Teodoro Gurgel De Santana, Glauciane Costa Fregonezi, Guilherme Augusto De Freitas Vale, Sancha Helena De Lima Lais, Lucia Leite |
dc.subject.por.fl_str_mv |
amyotrophic lateral sclerosis motor neuron disease epidemiology incidence spatial analysis |
topic |
amyotrophic lateral sclerosis motor neuron disease epidemiology incidence spatial analysis |
description |
Objective: amyotrophic lateral sclerosis (ALS) is a rare and fatal neurodegenerative disorder with variable incidence and prevalence worldwide. However, clinical-epidemiological studies on ALS are scarce in Brazil. Thus, this study investigated whether ALS incidence had uniform spatial distribution in population-based cluster analysis in Rio Grande do Norte state (Brazil), from 2005 to 2018. Methods: new cases of ALS were identified in a database of the ALS multidisciplinary care center of the Onofre Lopes University Hospital in Natal (Rio Grande do Norte, Brazil). Approaches were based on incidence (empirical Bayes estimator and Moran's I analysis) and cluster analyses (Moran scatter plot and spatial correlogram). Results: a total of 177 patients (59% males) participated in the study; the mean age of ALS onset was 57 years. Mean annual incidence of ALS was 0.3769 per 100,000 inhabitants (95% confidence interval of 0.0889), higher in males than in females (0.4516 per 100,000 vs. 0.3044 per 100,000). According to spatial statistics, patients were homogeneously distributed throughout the studied area. Conclusion: a low estimate was observed compared with other populations. Results did not indicate areas of increased risk or significant spatial geographic dependence, suggesting a random ALS incidence in Rio Grande do Norte. |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022 |
dc.date.accessioned.fl_str_mv |
2023-06-21T23:02:26Z |
dc.date.available.fl_str_mv |
2023-06-21T23:02:26Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
OLIVEIRA, Roberto Teodoro Gurgel de; SANTANA, Glauciane Costa; GONÇALVES, Maria de Jesus; FREGONEZI, Guilherme Augusto de Freitas; VALE, Sancha Helena de Lima; LEITE-LAIS, Lucia; DOURADO, Mário Emílio Teixeira. A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018. Amyotrophic Lateral Sclerosis And Frontotemporal Degeneration, [S.L.], v. 24, n. 1-2, p. 117-124, 2 ago. 2022. Informa UK Limited. http://dx.doi.org/10.1080/21678421.2022.2102429. Disponível em: https://www.tandfonline.com/doi/full/10.1080/21678421.2022.2102429. Acesso em: 19 jun. 2023. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/52837 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1080/21678421.2022.2102429 |
identifier_str_mv |
OLIVEIRA, Roberto Teodoro Gurgel de; SANTANA, Glauciane Costa; GONÇALVES, Maria de Jesus; FREGONEZI, Guilherme Augusto de Freitas; VALE, Sancha Helena de Lima; LEITE-LAIS, Lucia; DOURADO, Mário Emílio Teixeira. A geographical study on amyotrophic lateral sclerosis in Rio Grande Do Norte, Brazil, from 2005 to 2018. Amyotrophic Lateral Sclerosis And Frontotemporal Degeneration, [S.L.], v. 24, n. 1-2, p. 117-124, 2 ago. 2022. Informa UK Limited. http://dx.doi.org/10.1080/21678421.2022.2102429. Disponível em: https://www.tandfonline.com/doi/full/10.1080/21678421.2022.2102429. Acesso em: 19 jun. 2023. |
url |
https://repositorio.ufrn.br/handle/123456789/52837 https://doi.org/10.1080/21678421.2022.2102429 |
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eng |
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Taylor and Francis Group |
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