TY - JOUR
T1 - Adverse fetal and perinatal outcomes associated with Zika virus infection during pregnancy: an individual participant data meta-analysis
AU - The Zika Virus Individual Participant Data Consortium
AU - Acosta Pérez, Edna
AU - Aguilar Ticona, Juan
AU - Alger, Jackeline
AU - Alpuche Aranda, Celia
AU - Niño, Angélica Amado
AU - Ansusinha, Emily
AU - Araújo, Thalia
AU - Arias, Juan
AU - Arriaga Nieto, Lumumba
AU - Ávila, Marcos
AU - Bardají, Azucena
AU - Becerra Mojica, Carlos
AU - Benedetti, Andrea
AU - Bertozzi, Ana
AU - Bethencourt, Sarah
AU - Blackmon, Karen
AU - Borja Aburto, Victor
AU - Brasil, Patrícia
AU - Brickley, Elizabeth
AU - Britt, William
AU - Broutet, Nathalie
AU - Buekens, Pierre
AU - Cabié, André
AU - Cabrera-Gaytán, David Alejandro
AU - Cachay, Rodrigo
AU - Cafferata, Maria Luisa
AU - Caicedo-Castro, Isaac
AU - Calle, Juan
AU - Calvet, Guilherme
AU - Campbell, Harlan
AU - Campos, Maribel
AU - Carabali, Mabel
AU - Cerigo, Helen
AU - Cordon, Celia
AU - Corrêa, Juliana Silva
AU - Costa, Federico
AU - Coutinho, Conrado
AU - Cunha, Antonio
AU - Cure Cure, Carlos
AU - Damen, Johanna
AU - Daza, Marcela
AU - De La Hoz Siegler, Ilich
AU - DeBiasi, Roberta
AU - Debray, Thomas
AU - de Jong, Valentijn
AU - Delgado-López, Camille
AU - Duarte, Geraldo
AU - Duarte Miranda, Gabriella
AU - Eckert, Valorie
AU - Wei, Yinghui
PY - 2025/5/1
Y1 - 2025/5/1
N2 - Background: Zika virus (ZIKV) infection during pregnancy is associated with an increased risk of congenital malformations. The prevalence of short and long-term consequences, however, remains uncertain due to heterogeneity across studies. Individual Participant Data Meta-Analysis (IPD-MA) offers an alternative approach to provide more precise and generalisable estimates through data harmonisation across studies, allowing for standardised definitions and exploration of heterogeneity. This project was undertaken to estimate absolute and relative risks of adverse outcomes for individuals with ZIKV infection during pregnancy. Methods: IPD-MA studies and their datasets were identified through a systematic search conducted in 2018 with the following criteria: observational longitudinal or surveillance-based studies investigating ZIKV during pregnancy or at birth, measured fetal, infant, or child outcomes, and included at least 10 participants. Here we used IPD data shared by March 2022 from 18 studies from international health organisations and research networks, comprising 24 unique datasets, in 11 countries. Datasets were harmonised with standardised definitions, using variables related to pregnant individuals, methods used for ZIKV diagnoses, fetal characteristics and outcomes, and pooled for analysis. Frequentist and Bayesian regression methods were applied to estimate outcome prevalence and evaluate the association between maternal ZIKV infection and fetal loss, microcephaly and congenital zika syndrome as primary outcomes. Findings: Data including 9568 pregnant individuals and 9608 newborns, were harmonised. The risk of severe primary microcephaly was significantly higher in ZIKV-positive pregnancies (1.5%, CI 0.8%–2.7%) compared to ZIKV-negative ones (0.3%, CI 0.1%–1.0%), with a relative risk of 4.5 (CI 1.5–13.3) in the one-stage meta-analysis. While some risk estimates were consistent between Bayesian and Frequentist methods, estimates for other outcomes varied, underscoring the influence of both the analytical approach and the definition of ZIKV on the associations. Interpretation: Our findings align with previously published meta-analyses and indicate an added burden to adverse pregnancy outcomes with higher prevalence compared to pre-epidemic population-based average values. Future research should focus on additional outcomes with clear definitions of maternal infection. Women of reproductive age should be informed about the risks of Zika infection during pregnancy to support reproductive planning. Funding: This project was supported by the Wellcome Trust grant number 206532/Z/17/Z, the WHO Health Emergencies Programme Global Arbovirus Initiative, and the WHO Department of Sexual and Reproductive Health and Research, including the Human Reproduction Special Programme (HRP).
AB - Background: Zika virus (ZIKV) infection during pregnancy is associated with an increased risk of congenital malformations. The prevalence of short and long-term consequences, however, remains uncertain due to heterogeneity across studies. Individual Participant Data Meta-Analysis (IPD-MA) offers an alternative approach to provide more precise and generalisable estimates through data harmonisation across studies, allowing for standardised definitions and exploration of heterogeneity. This project was undertaken to estimate absolute and relative risks of adverse outcomes for individuals with ZIKV infection during pregnancy. Methods: IPD-MA studies and their datasets were identified through a systematic search conducted in 2018 with the following criteria: observational longitudinal or surveillance-based studies investigating ZIKV during pregnancy or at birth, measured fetal, infant, or child outcomes, and included at least 10 participants. Here we used IPD data shared by March 2022 from 18 studies from international health organisations and research networks, comprising 24 unique datasets, in 11 countries. Datasets were harmonised with standardised definitions, using variables related to pregnant individuals, methods used for ZIKV diagnoses, fetal characteristics and outcomes, and pooled for analysis. Frequentist and Bayesian regression methods were applied to estimate outcome prevalence and evaluate the association between maternal ZIKV infection and fetal loss, microcephaly and congenital zika syndrome as primary outcomes. Findings: Data including 9568 pregnant individuals and 9608 newborns, were harmonised. The risk of severe primary microcephaly was significantly higher in ZIKV-positive pregnancies (1.5%, CI 0.8%–2.7%) compared to ZIKV-negative ones (0.3%, CI 0.1%–1.0%), with a relative risk of 4.5 (CI 1.5–13.3) in the one-stage meta-analysis. While some risk estimates were consistent between Bayesian and Frequentist methods, estimates for other outcomes varied, underscoring the influence of both the analytical approach and the definition of ZIKV on the associations. Interpretation: Our findings align with previously published meta-analyses and indicate an added burden to adverse pregnancy outcomes with higher prevalence compared to pre-epidemic population-based average values. Future research should focus on additional outcomes with clear definitions of maternal infection. Women of reproductive age should be informed about the risks of Zika infection during pregnancy to support reproductive planning. Funding: This project was supported by the Wellcome Trust grant number 206532/Z/17/Z, the WHO Health Emergencies Programme Global Arbovirus Initiative, and the WHO Department of Sexual and Reproductive Health and Research, including the Human Reproduction Special Programme (HRP).
KW - Congenital Zika Syndrome
KW - Individual participant data meta-analysis
KW - Microcephaly
KW - Perinatal outcomes
KW - Pregnancy
KW - Zika virus
UR - https://pearl.plymouth.ac.uk/context/secam-research/article/3109/viewcontent/PIIS2589537025001634.pdf
U2 - 10.1016/j.eclinm.2025.103231
DO - 10.1016/j.eclinm.2025.103231
M3 - Article
SN - 2589-5370
VL - 83
JO - eClinicalMedicine
JF - eClinicalMedicine
M1 - 103231
ER -