Division of Infectious Diseases, Department of Medicine, School of Medicine, Emory University, Atlanta, Georgia, United States of America.
Department of Microbiology, Faculty of Medical Science, National Autonomous University of Nicaragua, León UNAN-León, Managua, Nicaragua.
PLoS One. 2020 Apr 3;15(4):e0230692. doi: 10.1371/journal.pone.0230692. eCollection 2020.
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.
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.
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.
By leveraging prenatal care systems, we developed a simple algorithm for identifying women who were likely infected by Zika during pregnancy.
寨卡病毒在最近的一次疫情中导致了数千例先天性畸形。由于寨卡病毒出现在登革热流行地区,而这些相关的黄病毒会引起交叉反应性抗体,因此通过血清学监测孕妇寨卡病毒感染具有挑战性。
在尼加拉瓜莱昂建立了一个由 253 名孕妇组成的前瞻性队列。妇女在产前护理期间通过分娩进行随访。在每次就诊时获得血清学标本,并记录出生结局。采用已建立的黄病毒血清学方法来确定寨卡病毒血清流行率,并采用逐步测试算法来估计寨卡病毒感染与妊娠的时间关系。
在接受检测的妇女中,寨卡病毒血清流行率约为 59%。中和试验与 Zika NS1 BOB 结果高度一致。根据研究算法,21%(40/187)的孕妇被归类为在怀孕期间发生了新发寨卡病毒感染。重要的是,新发寨卡病毒组主要包括在 2016 年寨卡病毒流行高峰期怀孕的妇女,以及该队列中唯一的 3 例经 RT-PCR 确诊感染的患者。大约 17%的分娩出现并发症;1.5%(3/194)表现出先天性寨卡综合征的临床标准,其中 1 例经 RT-PCR 确诊为先天性寨卡综合征病例。不良的分娩结局与寨卡病毒感染的时间无关。
通过利用产前保健系统,我们开发了一种简单的算法,用于识别在怀孕期间可能感染寨卡病毒的妇女。