Skip to main content
BMJ Open Access logoLink to BMJ Open Access
. 2021 Sep 3;107(3):244–250. doi: 10.1136/archdischild-2020-321031

Neurodevelopment in normocephalic children with and without prenatal Zika virus exposure

Karen Blackmon 1,2,, Roberta Evans 2, Michelle Fernandes 3,4, Barbara Landon 2, Trevor Noel 2, Calum Macpherson 2, Nikita Cudjoe 2, Kemi S Burgen 2, Bianca Punch 2, Amy Krystosik 5, Elysse N Grossi-Soyster 5, Angelle Desiree LaBeaud 5, Randall Waechter 2,6
PMCID: PMC8857021  NIHMSID: NIHMS1736335  PMID: 34479857

Abstract

Objective

Zika virus (ZIKV) targets neural stem cells in the developing brain. However, the majority of ZIKV-exposed children are born without apparent neurological manifestations. It remains unclear if these children were protected from ZIKV neurotropism or if they harbour subtle pathology that is disruptive to brain development. We assess this by comparing neurodevelopmental outcomes in normocephalic ZIKV-exposed children relative to a parallel control group of unexposed controls.

Design

Cohort study.

Setting

Public health centres in Grenada, West Indies.

Patients

384 mother–child pairs were enrolled during a period of active ZIKV transmission (April 2016–March 2017) and prospectively followed up to 30 months. Child exposure status was based on laboratory assessment of prenatal and postnatal maternal serum.

Main outcome measures

The INTERGROWTH-21st Neurodevelopment Assessment (INTER-NDA) package and Cardiff Vision Tests, administered and scored by research staff masked to child’s exposure status.

Results

A total of 131 normocephalic ZIKV exposed (n=68) and unexposed (n=63) children were assessed between 22 and 30 months of age. Approximately half of these children completed vision testing. There were no group differences in sociodemographics. Deficits in visual acuity (31%) and contrast sensitivity (23%) were apparent in the ZIKV-exposed infants in the absence of cognitive, motor, language or behavioural delays.

Conclusions

Overall neurodevelopment is likely to be unaffected in ZIKV-exposed children with normal head circumference at birth and normal head growth in the first 2 years of life. However, the visual system may be selectively vulnerable, which indicates the need for vision testing by 3 years of age.

Keywords: neonatology, neurology, psychology, virology, ophthalmology


A follow up study of infants born to mothers with pregnancy exposure to Zika virus showed infants who had been exposed to Zika virus but who had a normal head circumference had overall normal development, but all such Zika virus infants should undergo formal visual testing.


What is already known?

  • Zika virus (ZIKV) infection during pregnancy confers an increased risk of microcephaly in the exposed neonate, ranging from 1% to 13%.

  • The majority of children with prenatal ZIKV exposure are born without any apparent neurological manifestations, but their risk for postnatal developmental delays is unclear.

What this study adds?

  • Normocephalic ZIKV-exposed children do not show global developmental delays at 2 years of age but do show elevated risk for vision deficits.

Introduction

Prenatal exposure to Zika virus (ZIKV) is associated with elevated risk for brain malformations such as microcephaly, which can predispose children to developmental delays.1 It remains unclear whether normocephalic ZIKV-exposed children are protected from ZIKV neurotropism during gestation or whether they harbour subtle pathology that might disrupt neurodevelopment. Neuroimaging of ZIKV-exposed children reveals a spectrum of brain abnormalities that vary from severe microcephaly to more subtle and focal malformations.1 2 In many resource-limited regions where neuroimaging is not available or is cost prohibitive, neurodevelopmental assessment may be the only means available for probing neurotropism in normocephalic ZIKV-exposed children.

Prior case series of normocephalic ZIKV-exposed children suggest an elevated rate of developmental delays on standardised neurodevelopmental assessments1 3–6; however, the absence of a parallel local control group of ZIKV-unexposed children is a limiting factor.7 When study populations culturally differ from normative reference populations, reduced scores can result from test-specific factors (eg, item unfamiliarity) and/or sociodemographic factors (eg, poverty, food insecurity and low parental education). Variance in test performance across cultures calls for increased caution when interpreting standardised scores.8 The absence of local normative reference groups in many ZIKV-endemic regions makes it important to compare exposed and unexposed groups before drawing conclusions about long-term risk associated with exposure. Such an approach was used in one prior study that found no differences in developmental delay rates between ZIKV exposed and unexposed normocephalic children.9

In the current study, we prospectively tracked neurodevelopment in a large cohort of ZIKV exposed and unexposed children who were born during a period of active ZIKV transmission in Grenada, Carriacou and Petite Martinique.10 We conducted the INTERGROWTH-21st Neurodevelopment Assessment (INTER-NDA),11 Cardiff Visual Acuity Test (CAT)12 and Cardiff Contrast Test (CCT)13 when the children were between 22 and 30 months of age to determine whether there were cognitive, motor, language, behaviour and/or vision deficits associated with ZIKV exposure, after accounting for confounding variables such as neonatal complications, household income, parental education and food security.

Methods

Participants

Mother–child pairs were prospectively enrolled between April 2016 and March 2017. A total of 384 women consented to participate (see figure 1).

Figure 1.

Figure 1

Flow diagram of maternal enrolment, maternal serum testing, maternal Zika virus infection classification, child exposure status and child outcome evaluation. Figure represents original work created by authors.

Antenatal cohort

A total of 153 pregnant women were enrolled during pregnancy. Maternal serum was collected at a single time point during the prenatal period as well as at a follow-up time point during the postnatal period (0–12 months postpartum).

Postnatal cohort

A total of 231 women were recruited during the postnatal period. Maternal serum was collected at a single time point during the postnatal period (0–12 months postpartum).

Laboratory testing

Maternal serum samples were initially assessed for flavivirus exposure with indirect IgG capture ELISA using pooled dengue virus (DENV) antigen from all four DENV serotypes.14 Maternal serum samples were further assessed using a multiplexed assay on a nanostructured plasmonic gold (pGOLD) platform (Nirmidas Biotech, Palo Alto, California, USA) for the detection of IgG against ZIKV and DENV antigens.15 The pGOLD IgG immunoassay was used to cross-validate ELISA results and distinguish ZIKV from DENV exposure, as it has demonstrated sensitivity and specificity to ZIKV greater than 90% and 98%, respectively, in the convalescent phase.15

Head circumference classification

Children’s occipitofrontal head circumference was measured at birth and at a follow-up visit between 22 and 30 months of age to ensure that none of the children developed late onset microcephaly.16 Measurements were made by three independent raters and the mean of these measurements was used. Normocephalic was defined as occipitofrontal head circumference between the 3rd and 97th percentile for sex and age in accordance with WHO child growth standards.17 18

Sociodemographic measures

We administered a structured interview and questionnaire set to primary caregivers to determine whether ZIKV exposed and unexposed children were similar in terms of household demographics, such as maternal age at delivery, maternal education, household income, maternal social support (Social Support Questionnaire),19 food security (Food Security Questionnaire),20 and household stress (Chaos, Hubbub, and Order scale).21 We assessed child anthropometrics to determine whether the two groups were comparable in physical growth at the time of outcome assessment.22

Neurodevelopmental assessment

The INTER-NDA was conducted between the ages of 22 and 30 months. The INTER-NDA is a 37-item measure that combines caregiver report with objective assessment of developmental skill acquisition.11 23 24 It has been validated as a measure of neurodevelopment in 22–30 month old children,24 with minimal variance across cultures.25 Normative standards were created from over 1200 healthy children from Brazil, India, Italy, Kenya and the UK.11 The INTER-NDA was administered by trained technicians who were masked to the child’s serological status and fluent in the local culture and dialect. Cognition, motor and language items are scored on a four-point scale with higher scores indicating more optimal performance. Behavioural items are rated on a three-point scale with higher scores indicating more positive or negative behaviours. Mean index scores were calculated for each child and converted to standardised scores (range=0–100, mean=50). The threshold for normalcy was defined as ≥10th percentile, which translated to a standardised score ≥38.5 for cognition, ≥25.7 for fine motor, ≥51.7 for gross motor, ≥17.8 for language, ≥51.4 for positive behaviour and ≤50.0 for negative behaviour, in accordance with the INTER-NDA standard protocol.11

Visual acuity

The CAT12 was used to assess visual acuity, which is the ability to detect fine visual detail. The CAT involves preferential looking towards two-dimensional pictures that progressively ‘vanish’ by becoming smaller in outline. Picture cards were presented to children at a distance of 50 cm. Resulting ‘Logarithm of the Minimum Angle of Resolution (LogMAR)’ scores were used for analyses. LogMAR scores range from 0.1 to 1.0, with lower scores indicating better visual acuity.26 The CAT has been validated for use in toddlers.12 Both vision tests were performed binocularly.

Visual contrast sensitivity

The CCT13 was used to assess contrast sensitivity, which is the ability to visually detect large but faint objects. Administration is similar to the CAT with vanishing optotypes that progressively decrease in light/dark contrast. Normative estimates for toddlers range from 33.33 to 100, with higher scores indicating better contrast sensitivity.13

Inclusion criteria

Children were included in the normocephalic ZIKV-exposed group if: (1) they were born to mothers classified as ‘ZIKV-Infected’ during pregnancy based on positive prenatal laboratory results for ZIKV, with avidity testing showing infection in the past 6 months15; (2) they were normocephalic on birth and postnatal measurements; and (3) they completed at least 50% of the items on the INTER-NDA.

Children were included in the normocephalic unexposed group if: (1) they were born to mothers who were classified as ‘ZIKV-Uninfected’ during pregnancy, based on prenatal and postnatal negative laboratory results for ZIKV; (2) they were normocephalic on birth and postnatal measurements; and (3) they completed at least 50% of the items on the INTER-NDA.

Statistical analysis

Sociodemographics, birth complications and anthropometrics were compared across the two groups using the χ2 test for categorical variables and t-tests for continuous variables. Analysis of covariance was used to compare the main outcome measures across groups, with age entered as a covariate. Stratified risk categories were compared across groups using the Fisher’s exact test. SPSS V.23 was used for statistical analyses. All hypothesis testing was two sided with a significance threshold of p<0.05.

Standard protocol approval, registrations and patient consent

Informed consent was obtained from all mothers who participated in this study. There was no financial compensation.

Results

After application of inclusion criteria, a total of 68 exposed and 63 unexposed children were included in outcome analyses (online supplementary appendix 1; figure 1). There were no differences in sociodemographics between mothers who consented for outcome assessment and those who were lost to follow-up (see table 1).

Table 1.

Sociodemographic characteristics of normocephalic ZIKV exposed and unexposed children who were lost to follow-up

Children lost to follow-up (n=98) (%) Children followed (n=131) (%) χ2 P value
Household income (monthly Eastern Caribbean dollars) 2.18 0.70
 Under 1000 9 (9) 9 (7)
 1001–2000 16 (16) 19 (15)
 2001–3000 19 (19) 25 (19)
 Over 3000 9 (9) 20 (15)
 Unknown/refused 45 (46) 58 (44)
Maternal education 2.60 0.63
 Primary 10 (10) 20 (15)
 Secondary 53 (55) 72 (55)
 College degree 8 (8) 9 (7)
 Graduate degree 4 (4) 8 (6)
 Unknown/refused 23 (23) 22 (17)

ZIKV, Zika virus.

Supplementary data

archdischild-2020-321031supp001.pdf (45KB, pdf)

There were no findings of craniofacial disproportions, arthrogryposis or motor abnormalities in the two groups at birth. This suggests that, in addition to normal head circumference, our sample of ZIKV-exposed infants had no apparent neurological manifestations at birth. The two groups did not differ in the rate of premature births or neonatal complications such as jaundice, eye infections, respiratory infections or need for respiratory assistance (see table 2).

Table 2.

Demographic characteristics of the cohort

ZIKV-exposed children (n=68), n (%) ZIKV-unexposed children* (n=63), n (%) χ2 P value
Child’s sex 0.021 0.88
 Males 38 (56) 36 (57)
 Females 30 (44) 27 (43)
Household income (monthly Eastern Caribbean dollars) 1.87 0.76
 Under 1000 5 (7) 4 (7)
 1001–2000 9 (13) 10 (17)
 2001–3000 11 (16) 14 (23)
 Over 3000 10 (15) 9 (15)
 Unknown/refused 33 (49) 23 (38)
Maternal education 2.09 0.72
 Primary 11 (16) 8 (13)
 Secondary 35 (52) 35 (58)
 College degree 5 (7) 4 (7)
 Graduate degree 6 (9) 2 (3)
 Unknown/refused 11 (16) 11 (19)
Food security 2.79 0.42
 Food secure 27 (40) 25 (41)
 Food insecure (moderate) 18 (26) 21 (35)
 Food insecure (severe) 8 (12) 7 (12)
 Unknown/refused 15 (22) 7 (12)
Prematurity 4.05 0.13
 Delivery at >37 weeks gestation 53 (78) 51 (85)
 Delivery at ≤37 weeks gestation 3 (4) 5 (8)
 Unknown/refused 12 (18) 4 (7)
Neonatal complications 0.89 0.64
 No complication 48 (71) 45 (75)
 Neonatal complications 17 (25) 14 (23)
 Unknown/refused 3 (4) 1 (2)
Mean (SD) Mean (SD) t-Value P value
Gestational age at delivery (in weeks) 39.39 (1.67) 38.80 (2.60) −1.43 0.16
Mother’s age at delivery (in years) 29.15 (5.85) 28.51 (7.13) −0.55 0.58
Child’s age at outcome (in months) 24.65 (1.30) 24.61 (0.92) −0.18 0.86
Child’s head circumference (z-score)† 0.56 (0.89) 0.53 (0.95) −0.19 0.85
Child’s weight (z-score)† 0.48 (1.06) 0.37 (1.19) −0.54 0.59
Child’s height (z-score)† 0.14 (1.05) −0.08 (0.98) −1.15 0.25
Household CHAOS Scale 26.79 (7.72) 27.14 (7.72) −0.21 0.83
Household Social Support Questionnaire 38.08 (10.10) 35.23 (9.42) −1.39 0.17

*Household variables will sum to n=60, rather than n=63, due to three twin births in unexposed group.

†Z-scores were calculated using WHO Child Growth Standards.

CHAOS, chaos, order, and hubbub; ZIKV, Zika virus.

Sociodemographic and anthropometric measures

Comparison of sociodemographic features between the two groups showed no differences in maternal age at delivery, income, maternal education, food security, social support and household stress (see table 2). There were also no group differences in sex distribution, age, head circumference, weight or height (at time of outcome assessment), indicating a similar rate of physical development (see table 2).

Neurodevelopmental outcomes

There were no group differences in standardised INTER-NDA scores across cognition, motor, language and behavioural domains (see table 3) or in the number of children classified as being at elevated risk for developmental delays in these domains based on standardised cut-off scores (see table 4).

Table 3.

INTERGROWTH 21st Neurodevelopmental Assessment (INTER-NDA) and Cardiff Vision Test scores

ZIKV exposed (n=68) ZIKV unexposed (n=63)
INTER-NDA domains Standardised domain score mean (SD; 95% CI) Standardised domain score mean (SD; 95% CI) F* P value
 Cognition 63.71 (13.22; 60.57 to 66.86) 67.17 (12.92; 63.91 to 70.44) 2.280 0.134
 Fine motor 91.99 (11.16; 89.25 to 94.95) 93.83 (11.72; 90.97 to 96.68) 0.833 0.363
 Gross motor 92.97 (10.67; 90.31 to 95.63) 92.77 (11.49; 90.01 to 95.54) 0.011 0.918
 Language 66.20 (19.45; 61.43 to 70.95) 66.10 (20.38; 61.17 to 71.05) 0.001 0.981
 Positive behaviour 75.26 (22.13; 70.42 to 79.77) 78.61 (19.57; 73.45 to 83.18) 0.830 0.364
 Negative behaviour 26.59 (26.89; 19.15 to 34.04) 18.42 (23.40; 10.74 to 26.46) 2.900 0.091
Cardiff Vision Tests ZIKV exposed (n=29) Unexposed (n=38)
 Visual acuity (logMAR) 0.36 (0.14; 0.31 to 0.41) 0.26 (0.14; 0.21 to 0.30) 9.77 0.003
ZIKV exposed (n=26) ZIKV unexposed (n=30)
 Contrast sensitivity 42.31 (18.24; 35.17 to 49.74) 50.89 (17.32; 46.70 to 60.26) 4.94 0.03

*With age entered as a covariate.

logMAR, logarithm of the minimum angle of resolution; ZIKV, Zika virus.

Table 4.

Developmental delay risk stratification in children with and without prenatal ZIKV exposure

ZIKV exposed (n=68), n (%) ZIKV unexposed (n=63), n (%) χ2 Fisher’s exact p value
Cognition
 Low risk of delay* 64 (94) 61 (97) 0.549 0.682
 Med to high risk of delay* 4 (6) 2 (3)
Fine motor NA* NA*
 Low risk of delay* 68 (100) 63 (100)
 Med to high risk of delay* 0 (0) 0 (0)
Gross motor NA* NA*
 Low risk of delay* 68 (100) 63 (100)
 Med to high risk of delay* 0 (0) 0 (0)
Language 0.003 1.000
 Low risk of delay* 67 (99) 62 (98)
 Med to high risk of delay* 1 (1) 1 (2)
Positive behaviour 1.621 0.232
 Low risk of delay* 55 (81) 56 (89)
 Med to high risk of delay* 13 (19) 7 (11)
Negative behaviour
 Low risk of delay* 56 (89) 52 (91) 0.182 0.766
 Med to high risk of delay* 7 (11) 5 (9)
ZIKV exposed (n=29) ZIKV unexposed
(n=38)
χ2 P value
Visual acuity (logMAR) 4.424 0.035
 Low risk of delay† 20 (69) 34 (89%)
 Med to high risk of delay† 9 (31) 4 (11)
ZIKV exposed (n=26) ZIKV unexposed
(n=30)
Contrast sensitivity 3.063 0.080
 Low risk of delay† 20 (77) 28 (93)
 Med to high risk of delay† 6 (23) 2 (7)

NA=not applicable because cell sizes were too small to run proportional analyses.

*Cut-off scores for classification of delay risk (<10th percentile) in cognition, fine motor, gross motor, and language domains were obtained from the INTER-NDA international standardisation sample.17

†Cut-off scores for classification of delays in visual acuity and contrast sensitivity were obtained from the Cardiff standardisation samples.18

INTER-NDA, INTERGROWTH-21st Neurodevelopment Assessment; logMAR, logarithm of the minimum angle of resolution; ZIKV, Zika virus.

Visual acuity and contrast sensitivity

A total to 65 children completed visual acuity testing (29 exposed, 36 unexposed) and 54 children completed contrast sensitivity testing (26 exposed, 28 unexposed). Visual acuity and contrast sensitivity were reduced in ZIKV-exposed children relative to unexposed children (see table 3). When compared with the CAT normative standards, 9/29 (31%) ZIKV exposed and 4/36 (11%) unexposed children were below age expectations in visual acuity (see table 4), with more pronounced deficits (logMAR score >0.5) in 3/29 (10%) exposed and 0/36 (0%) unexposed. When compared with CCT normative standards, 6/26 (23%) exposed and 2/28 (7%) unexposed children were below age expectations.

Discussion

In this study, we found no evidence of delays in cognition, language functions, motor skills, or behaviour in normocephalic ZIKV-exposed children at 22–30 months of age, relative to a group of sociodemographically matched unexposed children. However, ZIKV-exposed children did show more deficits in visual acuity and contrast sensitivity, which is consistent with the rate of vision abnormalities found in other cohorts of infants with prenatal ZIKV exposure but without any other central nervous system findings.27 This suggests that vision may be particularly vulnerable to prenatal ZIKV exposure, even in the absence of other neurodevelopmental delays.

Developmental delays in normocephalic ZIKV-exposed children have been previously reported1 3–6 but without comparison with local unexposed controls. Use of non-local reference groups can lead to overestimated risk of developmental delays when children are sociodemographically and culturally different from those represented by the normative sample.8 We overcame these limitations by comparison of exposed and unexposed groups that had similar rates of prematurity, neonatal complications, low household income, low parental education and food insecurity. This approach revealed that ZIKV-exposed children perform on par with unexposed children across measures of cognitive, motor, language and behavioural development at 2 years of age.

Nevertheless, there was evidence for deficits in visual acuity and contrast sensitivity. This is consistent with animal studies and human case series that demonstrate a particular vulnerability in the developing brain’s visual system to ZIKV infection. In mice, ZIKV targets neural progenitor cells and glial cells in a pattern that suggests local astrocytic release of ZIKV progeny.28 29 ZIKV appears to have an affinity for the retinal ganglion cells, optic nerve and lateral geniculate nucleus in mice.28 Ocular abnormalities, such as focal pigmentary changes and chorioretinal atrophy and scarring, are common in children with congenital Zika syndrome and microcephaly30–32 and are also found in normocephalic ZIKV-exposed children.27 33 This indicates that eye abnormalities can result from intrauterine ZIKV infection, even without other obvious neurological signs.

Visual acuity deficits are apparent in approximately 90% of infants with congenital Zika syndrome and microcephaly.34 We show that approximately 31% of normocephalic ZIKV-exposed children have deficits in visual acuity at 2 years of age. It is unclear whether this may be due to retinal anomalies or delays in the maturation of cortical visual functions. The visual system undergoes rapid cortical development in the first 2 years of life,35 with binocular visual acuity normally reaching adult levels after 5 years of age.36 Additional follow-up testing with funduscopy is needed to confirm whether early ocular abnormalities may be the primary driver of later visual acuity and contrast sensitivity deficits in our cohort.

In terms of the timing of formal visual testing in ZIKV-exposed children, we recommend assessment prior to school entry; however, assessment of vision in young children can be challenging due to limited attention and cooperation. We were unable to obtain valid vision test results in approximately half of the children who cooperated with other INTER-NDA domains. Assessment around 36 months of age may be the optimal time window to allow for sufficient behavioural maturation to support cooperation with vision test procedures and to identify problems early enough to promote school readiness.

Study limitations include a small sample size, particularly for vision assessments. However, our sample should be considered sociodemographically representative of the larger Grenadian population, given that recruitment took place in public health centres and mothers who consented to outcome assessments did not differ sociodemographically from those who were lost to follow-up. Second, the absence of an ophthalmologist on our research team precluded our ability to rule out retinal or optic nerve damage in the children with lower CAT or CCT scores. Given our results, we have now enlisted a paediatric ophthalmologist to perform an examination with funduscopy at follow-up time-points. Third, neuroimaging was not performed; therefore, we could not determine whether ZIKV-associated imaging findings commonly found in normocephalic ZIKV-exposed children were also present in our cohort.2 Fourth, although it is assumed that the ZIKV strain transmitted by Aedes aegypti in Grenada is of the same Asian lineage as that transmitted in Brazil and other South American countries, it is not clear whether virus-specific adaptations may have led to variations in pathogenesis across different regions.37 38 Fifth, it is difficult to distinguish between mosquito-borne viruses by serology due to cross-reactivity within viral families; however, we used the pGOLD platform, which is specifically designed to minimise cross-reactivity and distinguish between ZIKV and DENV.15 Finally, by including all pregnant mothers, regardless of symptom status, we were unable to confirm the timing of ZIKV infection. This makes it unclear whether low rates of neurodevelopmental delays may be due to infection occurring later in pregnancy, after a protective zone of mature villous trophoblasts has been established in the uteroplacental circulatory system,39 40 or other yet to be identified protective factors. However, the presence of visual deficits suggests incomplete protection in at least a subset of the children.

Conclusion

Prospective tracking of normocephalic ZIKV-exposed children alongside a parallel group of unexposed children revealed no major delays in cognition, motor skills, language or behaviour at 2 years of age. However, the presence of visual acuity and contrast sensitivity deficits suggests that the visual system may be selectively vulnerable to prenatal ZIKV exposure. Ophthalmological evaluations should be considered essential components of surveillance initiatives in the event of future ZIKV outbreaks, and formal vision testing is recommended in ZIKV-exposed infants around 3 years of age.

Acknowledgments

We would like to thank the women, children and their families who participated in the assessments and the Ministry of Health of Grenada for their support and use of public health centres. We would like to acknowledge Aklemia Rhonda Lucas for her assistance with scheduling participants, Veronica Mapp for her assistance with serum preparation, Erin Ingraham for assistance with data entry and the following team members for assistance with data collection: Rashida Isaac, Elbernezer Andrew, Adlyn Matthew, Kimberly Douglas, Nekisha St. Bernard and Ann Hopkin.

Footnotes

Correction notice: This article has been updated since it was published online. Author Elysse Grossi-Soyster's surname has been corrected.

Contributors: KB and RE drafted the manuscript and contributed equally as co-first authors. All authors critically revised the manuscript for important intellectual content. KB conducted statistical analyses. ENG-S conducted serological analyses. KB, MF, BL, ADL and RW obtained funding. RE, NC, KSB, BP, TN, CM, AK and ENG-S contributed administrative and technical support. ADL and RW are co-last authors.

Funding: This work was supported by St George’s University/Windward Islands Research and Education Foundation (grant number GSP-SRGI-18009 to KB); US Agency for International Development (grant number AID-OAA-A-14-00028 to KB, RW and ADL); National Institutes of Health (grant number R21HD093551-01 to RW, BL and MF); Stanford Maternal Child Health Research Institute (ADL); and an Academic Clinical Fellowship in Paediatrics from the National Institute for Health Research, UK, to the University of Southampton (MF).

Competing interests: None declared.

Provenance and peer review: Not commissioned; externally peer reviewed.

Supplemental material: This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

Data availability statement

Data are available on reasonable request.

Ethics statements

Patient consent for publication

Not required.

Ethics approval

Institutional Review Board approval was obtained at St George’s University (IRB#16061) and Stanford University (IRB#45242).

References

  • 1. Cranston JS, Tiene SF, Nielsen-Saines K, et al. Association between antenatal exposure to Zika virus and anatomical and neurodevelopmental abnormalities in children. JAMA Netw Open 2020;3:e209303. 10.1001/jamanetworkopen.2020.9303 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Aragao MFVV, Holanda AC, Brainer-Lima AM, et al. Nonmicrocephalic Infants with Congenital Zika Syndrome Suspected Only after Neuroimaging Evaluation Compared with Those with Microcephaly at Birth and Postnatally: How Large Is the Zika Virus "Iceberg"? AJNR Am J Neuroradiol 2017;38:1427–34. 10.3174/ajnr.A5216 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Lopes Moreira ME, Nielsen-Saines K, Brasil P, et al. Neurodevelopment in infants exposed to Zika virus in utero. N Engl J Med 2018;379:2377–9. 10.1056/NEJMc1800098 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Nielsen-Saines K, Brasil P, Kerin T, et al. Delayed childhood neurodevelopment and neurosensory alterations in the second year of life in a prospective cohort of ZIKV-exposed children. Nat Med 2019;25:1213–7. 10.1038/s41591-019-0496-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Faiçal AV, de Oliveira JC, Oliveira JVV, et al. Neurodevelopmental delay in normocephalic children with in utero exposure to Zika virus. BMJ Paediatr Open 2019;3:e000486. 10.1136/bmjpo-2019-000486 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Mulkey SB, Arroyave-Wessel M, Peyton C, et al. Neurodevelopmental abnormalities in children with in utero Zika virus exposure without congenital Zika syndrome. JAMA Pediatr 2020;174:269–76. 10.1001/jamapediatrics.2019.5204 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Vouga M, Pomar L, Panchaud A, et al. A critical analysis of the neurodevelopmental and neurosensory outcomes after 2 years for children with in utero Zika virus exposure. Nat Med 2019;25:1641–2. 10.1038/s41591-019-0630-0 [DOI] [PubMed] [Google Scholar]
  • 8. Pendergast LL, Schaefer BA, Murray-Kolb LE, et al. Assessing development across cultures: invariance of the Bayley-III scales across seven international MAL-ED sites. Sch Psychol Q 2018;33:604–14. 10.1037/spq0000264 [DOI] [PubMed] [Google Scholar]
  • 9. Gerzson LR, de Almeida CS, Silva JHda, et al. Neurodevelopment of Nonmicrocephalic children, after 18 months of life, exposed prenatally to Zika virus. J Child Neurol 2020;35:278–82. 10.1177/0883073819892128 [DOI] [PubMed] [Google Scholar]
  • 10. Brenciaglia M, Noël TP, Fields PJ, et al. Clinical, serological, and molecular observations from a case series study during the Asian lineage Zika virus outbreak in Grenada during 2016. Can J Infect Dis Med Microbiol 2018;2018:1–9. 10.1155/2018/4635647 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Fernandes M, Villar J, Stein A, et al. INTERGROWTH-21st project international INTER-NDA standards for child development at 2 years of age: an international prospective population-based study. BMJ Open 2020;10:e035258. 10.1136/bmjopen-2019-035258 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Adoh TO, Woodhouse JM. The Cardiff acuity test used for measuring visual acuity development in toddlers. Vision Res 1994;34:555–60. 10.1016/0042-6989(94)90168-6 [DOI] [PubMed] [Google Scholar]
  • 13. Barbareza R, Woodhouse M, Oduwaiye K. A new contrast sensitivity test for young children?The Cardiff contrast test. Ophthalmic and Physiological Optics 1997;17:175. 10.1016/S0275-5408(97)80752-1 [DOI] [Google Scholar]
  • 14. Grossi-Soyster EN, Cook EAJ, de Glanville WA, et al. Serological and spatial analysis of alphavirus and flavivirus prevalence and risk factors in a rural community in Western Kenya. PLoS Negl Trop Dis 2017;11:e0005998. 10.1371/journal.pntd.0005998 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Zhang B, Pinsky BA, Ananta JS, et al. Diagnosis of Zika virus infection on a nanotechnology platform. Nat Med 2017;23:548–50. 10.1038/nm.4302 [DOI] [PubMed] [Google Scholar]
  • 16. van der Linden V, Pessoa A, Dobyns W, et al. Description of 13 Infants Born During October 2015-January 2016 With Congenital Zika Virus Infection Without Microcephaly at Birth - Brazil. MMWR Morb Mortal Wkly Rep 2016;65:1343–8. 10.15585/mmwr.mm6547e2 [DOI] [PubMed] [Google Scholar]
  • 17. World Health Organization . Screening, assessment and management of neonates and infants with complications associated with Zika virus exposure in utero. WHO, 2016. Available: http://apps.who.int/iris/bitstream/10665/204475/1/WHO_ZIKV_MOC_16.3_eng.pdf?ua=1 [Accessed 7 Apr 2020].
  • 18. World Health Organization . WHO child growth standards: head circumference-for-age, arm circumference-for-age, triceps skinfold-for-age and subscapular skinfold-for-age: methods and development [Internet. Geneva, Switzerland: World Health Organization, 2007. https://apps.who.int/iris/handle/10665/43706 [Google Scholar]
  • 19. Sarason IG, Levine HM, Basham RB, et al. Assessing social support: the social support questionnaire. J Pers Soc Psychol 1983;44:127–39. 10.1037/0022-3514.44.1.127 [DOI] [Google Scholar]
  • 20. Bickel G, Nord M, Price C. Measuring Food Security in the United States Guide to Measuring Household Food Security Revised 2000. United States Dep Agric, 2000. https://fns-prod.azureedge.net/sites/default/files/FSGuide.pdf [Google Scholar]
  • 21. Matheny AP, Wachs TD, Ludwig JL, et al. Bringing order out of chaos: psychometric characteristics of the confusion, hubbub, and order scale. J Appl Dev Psychol 1995;16:429–44. 10.1016/0193-3973(95)90028-4 [DOI] [Google Scholar]
  • 22. Grummer-Strawn LM, Reinold C, Krebs NF, et al. Use of World Health organization and CDC growth charts for children aged 0-59 months in the United States. MMWR Recomm Rep 2010;59:1–15. [PubMed] [Google Scholar]
  • 23. Fernandes M, Stein A, Newton CR, et al. The INTERGROWTH-21st project neurodevelopment package: a novel method for the multi-dimensional assessment of neurodevelopment in pre-school age children. PLoS One 2014;9:e113360. 10.1371/journal.pone.0113360 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Murray E, Fernandes M, Newton CRJ, et al. Evaluation of the INTERGROWTH-21st neurodevelopment assessment (INTER-NDA) in 2 year-old children. PLoS One 2018;13:e0193406. 10.1371/journal.pone.0193406 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Villar J, Fernandes M, Purwar M, et al. Neurodevelopmental milestones and associated behaviours are similar among healthy children across diverse geographical locations. Nat Commun 2019;10:511. 10.1038/s41467-018-07983-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Rosser DA, Laidlaw DA, Murdoch IE. The development of a "reduced logMAR" visual acuity chart for use in routine clinical practice. Br J Ophthalmol 2001;85:432–6. 10.1136/bjo.85.4.432 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Zin AA, Tsui I, Rossetto J, et al. Screening criteria for ophthalmic manifestations of congenital Zika virus infection. JAMA Pediatr 2017;171:847–54. 10.1001/jamapediatrics.2017.1474 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. van den Pol AN, Mao G, Yang Y, et al. Zika virus targeting in the developing brain. J Neurosci 2017;37:2161–75. 10.1523/JNEUROSCI.3124-16.2017 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Cugola FR, Fernandes IR, Russo FB, et al. The Brazilian Zika virus strain causes birth defects in experimental models. Nature 2016;534:267–71. 10.1038/nature18296 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Ventura CV, Maia M, Bravo-Filho V, et al. Zika virus in Brazil and macular atrophy in a child with microcephaly. Lancet 2016;387:228. 10.1016/S0140-6736(16)00006-4 [DOI] [PubMed] [Google Scholar]
  • 31. de Paula Freitas B, de Oliveira Dias JR, Prazeres J, et al. Ocular findings in infants with microcephaly associated with presumed Zika virus congenital infection in Salvador, Brazil. JAMA Ophthalmol 2016;134:529–35. 10.1001/jamaophthalmol.2016.0267 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Ventura CV, Ventura LO. Ophthalmologic manifestations associated with Zika virus infection. Pediatrics 2018;141:S161–6. 10.1542/peds.2017-2038E [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Ventura CV, Maia M, Dias N, et al. Zika: neurological and ocular findings in infant without microcephaly. Lancet 2016;387:2502. 10.1016/S0140-6736(16)30776-0 [DOI] [PubMed] [Google Scholar]
  • 34. Ventura LO, Ventura CV, Dias NdeC, et al. Visual impairment evaluation in 119 children with congenital Zika syndrome. J Aapos 2018;22:218–22. 10.1016/j.jaapos.2018.01.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Braddick O, Atkinson J. Development of human visual function. Vision Res 2011;51:1588–609. 10.1016/j.visres.2011.02.018 [DOI] [PubMed] [Google Scholar]
  • 36. Leat SJ, Yadav NK, Irving EL. Development of visual acuity and contrast sensitivity in children. J Optom 2009;2:19–26. 10.3921/joptom.2009.19 [DOI] [Google Scholar]
  • 37. Hu T, Li J, Carr MJ, et al. The Asian lineage of Zika virus: transmission and evolution in Asia and the Americas. Virol Sin 2019;34:1–8. 10.1007/s12250-018-0078-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Noguchi KK, Swiney BS, Williams SL, et al. Zika virus infection in the developing mouse produces dramatically different neuropathology dependent on viral strain. J Neurosci 2020;40:1145–61. 10.1523/JNEUROSCI.1376-19.2019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Bayer A, Lennemann NJ, Ouyang Y, et al. Type III interferons produced by human placental trophoblasts confer protection against Zika virus infection. Cell Host Microbe 2016;19:705–12. 10.1016/j.chom.2016.03.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Sheridan MA, Yunusov D, Balaraman V, et al. Vulnerability of primitive human placental trophoblast to Zika virus. Proc Natl Acad Sci U S A 2017;114:E1587–96. 10.1073/pnas.1616097114 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary data

archdischild-2020-321031supp001.pdf (45KB, pdf)

Data Availability Statement

Data are available on reasonable request.


Articles from Archives of Disease in Childhood are provided here courtesy of BMJ Publishing Group

RESOURCES