SPATIAL DISTRIBUTION OF NEWBORNS WITH SICKLE CELL TRAIT IN SERGIPE, BRAZIL
ABSTRACT Objective: To use the spatial distribution of the sickle cell trait (SCT) to analyze the frequency of hemoglobin S (HbS) carriers in Sergipe. Methods: The sample consisted of all individuals born in Sergipe from October 2011 to October 2012 who underwent neonatal screening in the public...
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| Format: | Article |
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Sociedade de Pediatria de São Paulo
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| Series: | Revista Paulista de Pediatria |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822020000100427&tlng=en |
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| author | Débora Cristina Fontes Leite Rosana Cipolotti Ricardo Queiroz Gurgel Paulo Ricardo Saquete Martins Filho Gabriel Dantas Lopes |
| author_facet | Débora Cristina Fontes Leite Rosana Cipolotti Ricardo Queiroz Gurgel Paulo Ricardo Saquete Martins Filho Gabriel Dantas Lopes |
| author_sort | Débora Cristina Fontes Leite |
| collection | DOAJ |
| description | ABSTRACT Objective: To use the spatial distribution of the sickle cell trait (SCT) to analyze the frequency of hemoglobin S (HbS) carriers in Sergipe. Methods: The sample consisted of all individuals born in Sergipe from October 2011 to October 2012 who underwent neonatal screening in the public health system. Tests were carried out in basic health units and forwarded to the University Hospital laboratory, where they were analyzed. We used spatial autocorrelation (Moran’s index) to assess the spatial distribution of heterozygous individuals with hemoglobinopathies. Results: Among 32,906 newborns, 1,202 showed other types of hemoglobin besides Hemoglobin A. We found a positive correlation between the percentage of black and multiracial people and the incidence of SCT. Most SCT cases occurred in the cities of Aracaju (n=273; 22.7%), Nossa Senhora do Socorro (n=102; 8.4%), São Cristóvão (n=58; 4.8%), Itabaiana (n=39; 4.2%), Lagarto (n=37; 4.01%), and Estância (n=46; 4.9%). Conclusions: The spatial distribution analysis identified regions in the state with a high frequency of HbS carriers. This information is important health care planning. This method can be applied to detect other places that need health units to guide and care for sickle cell disease patients and their families. |
| first_indexed | 2024-12-13T17:47:37Z |
| format | Article |
| id | doaj.art-72c521f433654883918be2b5b8cfecb3 |
| institution | Directory Open Access Journal |
| issn | 1984-0462 |
| language | English |
| last_indexed | 2024-12-13T17:47:37Z |
| publisher | Sociedade de Pediatria de São Paulo |
| record_format | Article |
| series | Revista Paulista de Pediatria |
| spelling | doaj.art-72c521f433654883918be2b5b8cfecb32022-12-21T23:36:35ZengSociedade de Pediatria de São PauloRevista Paulista de Pediatria1984-046210.1590/1984-0462/2020/38/2018229SPATIAL DISTRIBUTION OF NEWBORNS WITH SICKLE CELL TRAIT IN SERGIPE, BRAZILDébora Cristina Fontes LeiteRosana CipolottiRicardo Queiroz GurgelPaulo Ricardo Saquete Martins FilhoGabriel Dantas LopesABSTRACT Objective: To use the spatial distribution of the sickle cell trait (SCT) to analyze the frequency of hemoglobin S (HbS) carriers in Sergipe. Methods: The sample consisted of all individuals born in Sergipe from October 2011 to October 2012 who underwent neonatal screening in the public health system. Tests were carried out in basic health units and forwarded to the University Hospital laboratory, where they were analyzed. We used spatial autocorrelation (Moran’s index) to assess the spatial distribution of heterozygous individuals with hemoglobinopathies. Results: Among 32,906 newborns, 1,202 showed other types of hemoglobin besides Hemoglobin A. We found a positive correlation between the percentage of black and multiracial people and the incidence of SCT. Most SCT cases occurred in the cities of Aracaju (n=273; 22.7%), Nossa Senhora do Socorro (n=102; 8.4%), São Cristóvão (n=58; 4.8%), Itabaiana (n=39; 4.2%), Lagarto (n=37; 4.01%), and Estância (n=46; 4.9%). Conclusions: The spatial distribution analysis identified regions in the state with a high frequency of HbS carriers. This information is important health care planning. This method can be applied to detect other places that need health units to guide and care for sickle cell disease patients and their families.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822020000100427&tlng=enSickle cell diseaseSickle cell traitNeonatal screeningResidence characteristics |
| spellingShingle | Débora Cristina Fontes Leite Rosana Cipolotti Ricardo Queiroz Gurgel Paulo Ricardo Saquete Martins Filho Gabriel Dantas Lopes SPATIAL DISTRIBUTION OF NEWBORNS WITH SICKLE CELL TRAIT IN SERGIPE, BRAZIL Revista Paulista de Pediatria Sickle cell disease Sickle cell trait Neonatal screening Residence characteristics |
| title | SPATIAL DISTRIBUTION OF NEWBORNS WITH SICKLE CELL TRAIT IN SERGIPE, BRAZIL |
| title_full | SPATIAL DISTRIBUTION OF NEWBORNS WITH SICKLE CELL TRAIT IN SERGIPE, BRAZIL |
| title_fullStr | SPATIAL DISTRIBUTION OF NEWBORNS WITH SICKLE CELL TRAIT IN SERGIPE, BRAZIL |
| title_full_unstemmed | SPATIAL DISTRIBUTION OF NEWBORNS WITH SICKLE CELL TRAIT IN SERGIPE, BRAZIL |
| title_short | SPATIAL DISTRIBUTION OF NEWBORNS WITH SICKLE CELL TRAIT IN SERGIPE, BRAZIL |
| title_sort | spatial distribution of newborns with sickle cell trait in sergipe brazil |
| topic | Sickle cell disease Sickle cell trait Neonatal screening Residence characteristics |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-05822020000100427&tlng=en |
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