MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1371/journal.pone.0230692

Медицинская библиотека · PloS one · 2020

Serologic surveillance of maternal Zika infection in a prospective cohort in Leon, Nicaragua during the peak of the Zika epidemic.

Collins Matthew H, Zepeda Omar, Blette Bryan, Jadi Ramesh, Morales Marlen, Pérez Rigoberto, Liou Guei-Jiun Alice, Montoya-Cruz Magelda, Harris Eva, Becker-Dreps Sylvia, de Silva Aravinda M, Stringer Jeffrey, Bucardo Filemon, Stringer Elizabeth

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПоддержка службы здравоохранения СШАПеревод в очереди

Аннотация

BACKGROUND

Zika virus caused thousands of congenital anomalies during a recent epidemic. Because Zika emerged in areas endemic for dengue and these related flaviviruses elicit cross-reactive antibodies, it is challenging to serologically monitor pregnant women for Zika infection.

METHODS

A prospective cohort of 253 pregnant women was established in León, Nicaragua. Women were followed during prenatal care through delivery. Serologic specimens were obtained at each visit, and birth outcome was recorded. Established flavivirus serologic methods were adapted to determine Zika seroprevalence, and a stepwise testing algorithm estimated timing of Zika infection in relation to pregnancy.

RESULTS

Zika seroprevalence was approximately 59% among women tested. Neutralization testing was highly concordant with Zika NS1 BOB results. Per study algorithm, 21% (40/187) of women were classified as experiencing Incident ZIKV infection during pregnancy. Importantly, the Incident ZIKV group included mostly women pregnant during the 2016 Zika epidemic peak and the only 3 subjects in the cohort with RT-PCR-confirmed infections. Approximately 17% of births had complications; 1.5% (3/194) manifesting clinical criteria of congenital Zika syndrome, one was RT-PCR-confirmed as a case of congenital Zika syndrome. Adverse birth outcome did not correlate with timing of Zika infection.

CONCLUSIONS

By leveraging prenatal care systems, we developed a simple algorithm for identifying women who were likely infected by Zika during pregnancy.

Для цитирования: Collins Matthew H, Zepeda Omar, Blette Bryan, Jadi Ramesh, Morales Marlen, Pérez Rigoberto, Liou Guei-Jiun Alice, Montoya-Cruz Magelda, Harris Eva, Becker-Dreps Sylvia, de Silva Aravinda M, Stringer Jeffrey, Bucardo Filemon, Stringer Elizabeth. Serologic surveillance of maternal Zika infection in a prospective cohort in Leon, Nicaragua during the peak of the Zika epidemic.. PloS one. 2020. DOI: 10.1371/journal.pone.0230692.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.