Zika virus

Douglas-Vail, Matt; Su, Hong Yu

doi:10.5206/uwomj.v85i2.4143

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…Newborns of mothers infected with Zika virus during pregnancy presented severe brain malformations and abnormalities of development [2], notably, microcephaly [3,4]. The identification of Zika virus ribonucleic acid (RNA) in the amniotic fluid of mothers whose fetuses had cerebral abnormalities suggested Zika virus transmission occurred during pregnancy [5,6]. Zika virus-related microcephaly is associated with central nervous system lesions that include destructive, calcification, hypoplasia, and migration disturbances [7].…”

Section: Introductionmentioning

confidence: 99%

Zika virus congenital microcephaly severity classification and the association of severity with neuropsychomotor development

et al. 2022

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Background: Zika virus infection during pregnancy is linked to birth defects, most notably, microcephaly, which in its turn, is associated with neurodevelopmental delays. Objective: The goal of the study is to propose a method for severity classification of congenital microcephaly based on neuroradiological findings of MRI scans, and to investigate the association of severity with neuropsychomotor developmental scores. We also propose a semiautomated method for MRI-based severity classification of microcephaly. Methods: Cross-sectional investigation of 42 infants born with congenital Zika infection. Bayley-III developmental evaluations and MRI scans were carried out at ages 13-39 months (mean: 24.8, SD: 5.8). The severity score was generated based on neuroradiologist evaluations of brain malformations. Next, we established a distribution of Zika virusmicrocephaly severity score into mild, moderate, and severe and investigated the association of severity with neuropsychomotor developmental scores. Finally, we propose a simplified semi-automated procedure for estimating the severity score, based only on volumetric measures. Results: Results showed a correlation of r = 0.89 (p < 0.001) between the Zika virus-microcephaly severity score and the semi-automated method. The trimester of infection did not correlate with the semi-automated method. Neuropsychomotor development correlated with the severity classification based on radiological readings and with the semi-automated method; the more severe the imaging scores, the lower neuropsychomotor developmental scores. Conclusion: The severity classification methods may be used to evaluate severity of microcephaly and possible association with developmental consequences. The semi-automated methods thus may be an alternative for prediction of severity of microcephaly using only one MRI sequence.

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Section: Introductionmentioning

confidence: 99%

Zika virus congenital microcephaly severity classification and the association of severity with neuropsychomotor development

et al. 2022

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Zika Virus Congenital Microcephaly Severity Classification and the Association of Severity with Neuropsychomotor Development

Esper

Franco

Soder

et al. 2020

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Objectives: We propose and evaluate a system for assessing severity of ZikV-related microcephaly brain abnormalities called RaRe (Radiological Reading score). The system is a combination of neuroradiologist evaluation scores; we also propose and evaluate its semi-automated version, which is generated from MRI indices. Design: We carried out a cross-sectional study with retrospective data collection at birth and 13-39 months; data collection includes radiologists evaluation of MRI images and a semi-automated system for analyzing MRI images from ZikV-related microcephaly patients; we also evaluated the association of severity and RaRe scores with developmental outcomes. Setting: Brain Institute of Rio Grande do Sul and Memorial Hospital Arthur Ramos, both in Brazil. Participants: 42 infants with ZikV-related congenital microcephaly (age at second evaluation M = 24.83 months; SD = 5.82). Mothers were infected by Zika Virus during pregnancy and were symptomatic or asymptomatic. Main outcome measures: Clinical and radiological outcomes (blindly reviewed); severity classification system (semi-automated - RaRe-Auto or based on neuroradiological evaluation - RaRe-Clin) and association with developmental outcomes (Bayley-III scales). Results: RaRe-Clin positively correlated with RaRe-Auto (r = 0.892; p < 0.001). Severity negatively associated with neurodevelopment scores assessed by Bayley-III scales in all three domains: cognition, language and motor skills. There was no association between trimester of infection and head circumference at birth (r = 0.160; p = 0.338) but there was an association between trimester of infection and RaRe-Clin (r = -0.355; p = 0.029). Conclusions: The clinical and semi-automated RaRe scores predicted Bayley scores. RaRe-Clin and RaRe-Auto can predict the trimester of infection and severity of outcomes and should be investigated in their further application with other congenital and infection-related brain abnormalities.

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Zika virus

Cited by 2 publications

References 8 publications

Zika virus congenital microcephaly severity classification and the association of severity with neuropsychomotor development

Zika virus congenital microcephaly severity classification and the association of severity with neuropsychomotor development

Zika Virus Congenital Microcephaly Severity Classification and the Association of Severity with Neuropsychomotor Development

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