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Impact of prematurity and immigration on neonatal screening for sickle cell disease
BACKGROUND: Others have described a relationship between hemoglobin A levels and gestational age, gender and ethnicity. However, studies are needed to determine normal cut-off points considering these factors. To address this issue we designed a study to determine the percentiles of normality of neo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295701/ https://www.ncbi.nlm.nih.gov/pubmed/28170418 http://dx.doi.org/10.1371/journal.pone.0171604 |
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author | Cortés-Castell, Ernesto Palazón-Bru, Antonio Pla, Carolina Goicoechea, Mercedes Rizo-Baeza, María Mercedes Juste, Mercedes Gil-Guillén, Vicente Francisco |
author_facet | Cortés-Castell, Ernesto Palazón-Bru, Antonio Pla, Carolina Goicoechea, Mercedes Rizo-Baeza, María Mercedes Juste, Mercedes Gil-Guillén, Vicente Francisco |
author_sort | Cortés-Castell, Ernesto |
collection | PubMed |
description | BACKGROUND: Others have described a relationship between hemoglobin A levels and gestational age, gender and ethnicity. However, studies are needed to determine normal cut-off points considering these factors. To address this issue we designed a study to determine the percentiles of normality of neonatal hemoglobin A levels taking these factors into account. METHODS: This cross-sectional study involved 16,025 samples for sickle cell disease screening in the province of Alicante, Spain, which has a high immigration rate. The primary variable was hemoglobin A, and the secondary variables were gender, gestational age (preterm and full term) and maternal origin (Spain, the rest of Europe, North Africa, Sub-Saharan Africa, Latin America and Asia). Percentiles of normality (1 and 99) were obtained by origin, gender and gestational age using quantile regression models and bootstrap samples. The association between these percentiles of normality and altered levels (≥1%) of hemoglobin E was analyzed. We obtained the percentiles of normality (1 and 99) for each maternal origin, gender and gestational age. RESULTS: Of a total of 88 possible E carriers, 65 had above-normal hemoglobin A levels (74%). The levels of normality for hemoglobin A varied greatly according to the maternal origin and gestational age. CONCLUSION: With the levels of normality that we established it is possible to discard samples with unrecorded blood transfusions. Our methodology could be applied to other diseases in the neonatal screening. |
format | Online Article Text |
id | pubmed-5295701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-52957012017-02-17 Impact of prematurity and immigration on neonatal screening for sickle cell disease Cortés-Castell, Ernesto Palazón-Bru, Antonio Pla, Carolina Goicoechea, Mercedes Rizo-Baeza, María Mercedes Juste, Mercedes Gil-Guillén, Vicente Francisco PLoS One Research Article BACKGROUND: Others have described a relationship between hemoglobin A levels and gestational age, gender and ethnicity. However, studies are needed to determine normal cut-off points considering these factors. To address this issue we designed a study to determine the percentiles of normality of neonatal hemoglobin A levels taking these factors into account. METHODS: This cross-sectional study involved 16,025 samples for sickle cell disease screening in the province of Alicante, Spain, which has a high immigration rate. The primary variable was hemoglobin A, and the secondary variables were gender, gestational age (preterm and full term) and maternal origin (Spain, the rest of Europe, North Africa, Sub-Saharan Africa, Latin America and Asia). Percentiles of normality (1 and 99) were obtained by origin, gender and gestational age using quantile regression models and bootstrap samples. The association between these percentiles of normality and altered levels (≥1%) of hemoglobin E was analyzed. We obtained the percentiles of normality (1 and 99) for each maternal origin, gender and gestational age. RESULTS: Of a total of 88 possible E carriers, 65 had above-normal hemoglobin A levels (74%). The levels of normality for hemoglobin A varied greatly according to the maternal origin and gestational age. CONCLUSION: With the levels of normality that we established it is possible to discard samples with unrecorded blood transfusions. Our methodology could be applied to other diseases in the neonatal screening. Public Library of Science 2017-02-07 /pmc/articles/PMC5295701/ /pubmed/28170418 http://dx.doi.org/10.1371/journal.pone.0171604 Text en © 2017 Cortés-Castell et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Cortés-Castell, Ernesto Palazón-Bru, Antonio Pla, Carolina Goicoechea, Mercedes Rizo-Baeza, María Mercedes Juste, Mercedes Gil-Guillén, Vicente Francisco Impact of prematurity and immigration on neonatal screening for sickle cell disease |
title | Impact of prematurity and immigration on neonatal screening for sickle cell disease |
title_full | Impact of prematurity and immigration on neonatal screening for sickle cell disease |
title_fullStr | Impact of prematurity and immigration on neonatal screening for sickle cell disease |
title_full_unstemmed | Impact of prematurity and immigration on neonatal screening for sickle cell disease |
title_short | Impact of prematurity and immigration on neonatal screening for sickle cell disease |
title_sort | impact of prematurity and immigration on neonatal screening for sickle cell disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5295701/ https://www.ncbi.nlm.nih.gov/pubmed/28170418 http://dx.doi.org/10.1371/journal.pone.0171604 |
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