Streptococcus agalactiae in childbearing age immigrant women in Comunitat Valenciana (Spain)

Streptococcus agalactiae (GBS) remains the leading cause of meningitis and neonatal sepsis in the world, and causes disease in pregnant and puerperal women. This is a retrospective study of GBS infections on women of childbearing age living in Comunitat Valenciana, Spain (years 2009–2014) and GBS co...

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Published inScientific reports Vol. 10; no. 1; p. 9904
Main Authors Sahuquillo-Arce, José Miguel, Hernández-Cabezas, Alicia, Castaño-Aroca, María Jesús, Chouman-Arcas, Rabab, Díaz-Aguirre, Estefanía, Acosta-Boga, Beatriz, López-Hontangas, José Luis
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 18.06.2020
Nature Publishing Group
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Summary:Streptococcus agalactiae (GBS) remains the leading cause of meningitis and neonatal sepsis in the world, and causes disease in pregnant and puerperal women. This is a retrospective study of GBS infections on women of childbearing age living in Comunitat Valenciana, Spain (years 2009–2014) and GBS colonization rate on pregnant women attending Hospital La Fe (years 2013–2015) according to their origin. An aggregated total of 6,641,960 women exposed during the study period had an average GBS isolation rate of 5.19‰ (5.14–5.25‰), geographical group rates being: Western Europe (2.2‰), North America (2.1‰), Australia (3.7‰), Spain (4.6‰), Latin America II (4.5‰), Eastern Europe (5.3‰), Asia (6.7‰), Latin America I (7.7‰), Middle East (7.9‰), Indian Subcontinent (17.2‰), North Africa (17.8‰), Sub-Saharan Africa (22.7‰). The 4532 pregnant women studied had an average GBS colonization rate of 12.47% (11.51–13.43) and geographical group rates varied similar to geographical isolation rates. Low GDP and high temperatures of the birth country were associated with higher colonization rates. Thus, differences in GBS colonization depend on the country of origin; Africa and the Indian subcontinent presented the highest, while Western Europe and North America had the lowest. This variability portrays a geographical pattern influenced by temperature and GDP.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-020-66811-2