| Literature DB >> 30424827 |
Mariana Kikuti1,2, Cristiane W Cardoso3, Ana P B Prates3, Igor A D Paploski1,2, Uriel Kitron1,4, Mitermayer G Reis1,2, Ganeshwaran H Mochida5,6,7, Guilherme S Ribeiro1,2.
Abstract
BackgroundNorth-eastern Brazil was the region most affected by the outbreak of congenital Zika syndrome that followed the 2015 Zika virus (ZIKV) epidemics, with thousands of suspected microcephaly cases reported to the health authorities, mostly between late 2015 and early 2016. Aim: To describe clinical and epidemiological aspects of the outbreak of congenital brain abnormalities (CBAs) and to evaluate the accuracy of different head circumference screening criteria in predicting CBAs.MethodBetween April 2015 and July 2016, the Centers for Information and Epidemiologic Surveillance of Salvador, Brazil investigated the reported cases suspected of microcephaly and, based on intracranial imaging studies, confirmed or excluded a diagnosis of CBA. Sensitivity, specificity and positive and negative predictive values of different head circumference screening criteria in predicting CBAs were calculated.ResultsOf the 365 investigated cases, 166 (45.5%) had confirmed CBAs. The most common findings were intracranial calcifications and ventriculomegaly in 143 (86.1%) and 111 (66.9%) of the 166 CBA cases, respectively. Prevalence of CBAs peaked in December 2015 (2.24 cases/100 live births). Cases of CBAs were significantly more likely to have been born preterm and to mothers who had clinical manifestations of arboviral infection during pregnancy. None of the head circumference screening criteria performed optimally in predicting CBAs.ConclusionThis study highlights the magnitude of neurological consequences of the ZIKV epidemic and the limitations of head circumference in accurately identifying children with CBA. Gestational symptoms compatible with ZIKV infection should be combined with imaging studies for efficient detection of suspect CBAs during ZIKV epidemics.Entities:
Keywords: Zika virus; brain abnormalities; microcephaly; nervous system malformation; prevalence; sensitivity and specificity
Mesh:
Year: 2018 PMID: 30424827 PMCID: PMC6234531 DOI: 10.2807/1560-7917.ES.2018.23.45.1700757
Source DB: PubMed Journal: Euro Surveill ISSN: 1025-496X
Figure 1Epidemic curve of the reported cases suspected of microcephaly per week of birth by status of congenital brain abnormalitya, Salvador, Brazil, April 2015–July 2016 (n = 631b)
Clinical characteristics of suspected microcephaly cases, Salvador, Brazil, April 2015–July 2016 (n = 365)
| Clinical characteristics | Congenital brain abnormalities diagnosis | |||
|---|---|---|---|---|
| Confirmed (n = 166) | Excluded (n = 199) | |||
| n | % | n | % | |
| Male sex | 76 | 45.8 | 65 | 32.7 |
|
| ||||
| < 37 weeks | 54 | 33.3 | 13 | 7.0 |
| 37–42 weeks | 108 | 66.7 | 172 | 93.0 |
|
| ||||
| Head circumference (cm), median and IQRb,c | 30.0 | 28.0–31.0 | 32.0 | 31.0–32.0 |
| Head circumference (cm), min–maxb,c | 21.5–42.0 | 28.0–36.0 | ||
|
| ||||
| Ultrasound | 136 | 81.9 | 192 | 96.5 |
| Computed tomography | 53 | 31.9 | 9 | 4.5 |
| Magnetic resonance imaging | 17 | 10.2 | 4 | 2.0 |
|
| ||||
| Intracranial calcifications | 143 | 86.1 | 0 | 0.0 |
| Ventriculomegaly | 111 | 66.9 | 0 | 0.0 |
| Agenesis of the corpus callosum | 20 | 12.1 | 0 | 0.0 |
| Dysgenesis of the corpus callosum | 19 | 11.5 | 0 | 0.0 |
| Lissencephaly | 17 | 10.2 | 0 | 0.0 |
| Cerebellar abnormalitiesd | 9 | 5.4 | 0 | 0.0 |
| Anencephaly | 3 | 1.8 | 0 | 0.0 |
|
| ||||
| Oligohydramnios | 17 | 10.2 | 7 | 3.5 |
| Intrauterine growth restriction | 14 | 8.4 | 2 | 1.0 |
| Subependymal cysts | 16 | 9.6 | 7 | 3.5 |
| Arthrogryposis | 11 | 6.6 | 0 | 0.0 |
| Auditory abnormalitiese | 20 | 19.2 | 10 | 11.5 |
| Ophthalmological abnormalitiesf | 13 | 18.8 | 3 | 4.5 |
| Deathg | 6 | 3.6 | 0 | 0.0 |
IQR: interquartile range.
Suspected microcephaly cases may have undergone more than one imaging testing and presented with more than one finding.
a Data available for 162 confirmed cases and 185 excluded cases. The lowest gestational age for the confirmed and excluded cases were 20 and 30 weeks, respectively.
b Data on head circumference were not available for two confirmed cases. Data on head circumference of three confirmed cases and eight excluded cases were not considered in the analysis due to a late measurement without a precise date (> 28 days post birth).
c Some of the cases from both groups of confirmed and excluded congenital brain abnormalities diagnosis had a head circumference size greater than the screening limits used to detect microcephaly. This is because reporting cases of spontaneous abortions, stillbirths or pregnancies with any detected alterations in the fetal central nervous system in women with self-reported history of rash during pregnancy was also encouraged, though not mandatory.
d Cerebellar vermis agenesis or cerebellar hypoplasia.
e Data on auditory abnormalities were available for 104 confirmed cases (86 by auditory screening method, three by brainstem evoked response audiometry test (BERA) and 15 by both) and for 87 excluded cases (79 by auditory screening method, three by BERA test and five by both).
f Data on ophthalmological abnormalities were available for 69 confirmed cases and for 67 excluded cases. Among the confirmed cases, two had pigmentary abnormalities in macula, one abnormal red reflex, one bilateral chorioretinal atrophy and optic disc hypoplasia, one cataracts, one macular atrophy, one corneal excoriation, one chorioretinitis, one optic disc excavation, one coloboma, and three without information on type of abnormality. Among excluded cases, one had retinal haemorrhage, one retinal excavation and one cataracts.
g Death occurred on the day of birth for two cases, within 2 days for one case, within 2 months for two cases and within 4 months for one case.
Maternal clinical characteristics of suspected microcephaly cases, Salvador, Brazil, April 2015–July 2016 (n = 365)
| Characteristics | Congenital brain abnormalities diagnosis | OR | 95% CI | p value | |||
|---|---|---|---|---|---|---|---|
| Confirmed | Excluded | ||||||
| n/Na | % | n/Na | % | ||||
| Mother’s age in years, median and IQRb | 26 | 21–32 | 25 | 21– 31 | NA | NA | 0.38 |
|
| |||||||
| Multifetal | 5/163 | 3.1 | 4/195 | 2.0 | 1.51 | 0.32–7.74 | 0.54 |
| Single | 158/163 | 96.9 | 191/195 | 98.0 | 1 | NA | |
|
| |||||||
| Feverc | 66/155 | 42.3 | 42/187 | 22.5 | 2.56 | 1.56–4.21 | < 0.001 |
| Exanthema | 118/161 | 73.3 | 68/193 | 35.2 | 5.04 | 3.12–8.19 | < 0.001 |
|
| |||||||
| First trimester | 75/108 | 69.4 | 25/57 | 43.9 | 2.91 | 1.42–5.97 | 0.001 |
| Second or third trimester | 33/108 | 30.6 | 32/57 | 56.1 | 1 | NA | |
|
| |||||||
| Pruritus | 72/133 | 54.1 | 36/143 | 25.2 | 3.51 | 2.05–6.04 | < 0.001 |
| Arthralgia | 60/135 | 44.4 | 31/143 | 21.7 | 2.89 | 1.66–5.06 | < 0.001 |
| Myalgia | 51/135 | 37.8 | 25/142 | 17.6 | 2.84 | 1.58–5.17 | < 0.001 |
| Headache | 48/133 | 36.1 | 25/142 | 17.6 | 2.64 | 1.46–4.83 | 0.001 |
| Retro-orbital pain | 24/133 | 18.1 | 6/142 | 4.2 | 4.99 | 1.89–15.38 | < 0.001 |
| Conjunctival hyperaemia | 21/133 | 15.8 | 9/142 | 6.3 | 2.77 | 1.16–7.14 | 0.01 |
NA: not applicable; CI: confidence interval (95%); IQR: interquartile range; OR: odds ratio.
a The denominators in this column may vary as they are based on the number of cases with known information on the characteristic in question.
b Data on mothers’ ages were not available for nine confirmed and four excluded cases.
c Fever was defined as axillary temperatures of ≥ 37.8 °C.
d Data on trimester of exanthema are presented for the mothers who had exanthema (n = 118 for the mothers of confirmed congenital brain abnormality cases, and n = 68 for those of the excluded cases). For 10 confirmed and 11 excluded cases the trimester of the exanthema was unknown.
Imaging findings of confirmed congenital brain abnormalities cases, according to the timing of maternal exanthema, Salvador, Brazil, April 2015–July 2016 (n = 151)
| Congenital brain abnormalities | Pregnancy trimester of exanthema | |||||||
|---|---|---|---|---|---|---|---|---|
| First | Second | Third | Without exanthema | |||||
| n | % | n | % | n | % | n | % | |
| Intracranial calcifications | 68 | 90.7 | 23 | 95.8 | 7 | 77.8 | 32 | 74.4 |
| Ventriculomegaly | 48 | 64.0 | 18 | 75 | 8 | 88.9 | 28 | 65.1 |
| Agenesis of the corpus callosum | 11 | 14.7 | 3 | 12.5 | 2 | 22.2 | 4 | 9.3 |
| Dysgenesis of the corpus callosum | 8 | 10.7 | 5 | 20.8 | 0 | 0.0 | 5 | 11.6 |
| Lissencephaly | 6 | 8.0 | 4 | 16.7 | 2 | 22.2 | 4 | 9.3 |
| Cerebellar abnormalitiesa | 6 | 8.0 | 1 | 4.2 | 0 | 0.0 | 1 | 2.3 |
| Arthrogryposis | 6 | 8.0 | 2 | 8.3 | 0 | 0.0 | 2 | 4.7 |
| Oligohydramnios | 12 | 16.0 | 1 | 4.2 | 0 | 0.0 | 3 | 7.0 |
| Intrauterine growth restriction | 9 | 12.0 | 3 | 12.5 | 0 | 0.0 | 1 | 2.3 |
| Subependymal cysts | 7 | 9.3 | 1 | 4.2 | 1 | 11.1 | 6 | 14.0 |
a Cerebellar vermis agenesis or cerebellar hypoplasia.
Accuracy of different head circumference screening criteria in detecting congenital malformations, Salvador, Brazil, April 2015–July 2016 (n = 365)
| Criteria | Sensitivity | Specificity | PPV | NPV | ||||
|---|---|---|---|---|---|---|---|---|
| % | 95% CI | % | 95% CI | % | 95% CI | % | 95% CI | |
| Fenton Preterm Growth Chart | 67.7 | 59.0–75.5 | 60.6 | 52.9–67.9 | 56.6 | 48.5–64.4 | 71.1 | 63.2–78.3 |
| INTERGROWTH-21st standards | 63.4 | 54.7–71.6 | 72.4 | 65.1–78.9 | 63.9 | 55.1–72.1 | 72.0 | 64.7–78.5 |
| WHO Child Growth Standards | 75.5 | 66.2–83.3 | 54.2 | 46.3–61.9 | 51.0 | 42.9–59.0 | 77.8 | 69.2–84.9 |
| Brazilian MoH (Nov–11 Dec 2015) | 83.6 | 76.4–89.3 | 7.3 | 3.9–12.1 | 41.3 | 35.5–47.3 | 36.1 | 20.8–53.8 |
| Brazilian MoH (12 Dec 2015–12 Mar 2016) | 79.3 | 71.6–85.7 | 11.2 | 7.0–16.7 | 41.1 | 35.2–47.2 | 40.8 | 27.0–55.8 |
| Brazilian MoH (13 Mar 2016–present) | 68.6 | 60.2–76.1 | 55.3 | 47.7–62.7 | 54.5 | 46.9–62.1 | 69.2 | 61.0–76.7 |
| Pan American Health Organization recommendation | 73.6 | 65.5–80.7 | 40.2 | 33.0–47.8 | 49.0 | 42.1–56.0 | 66.1 | 56.4–74.9 |
CI: confidence interval (95%); MoH: Ministry of Health; NPV: negative predictive value; PPV: positive predictive value; WHO: World Health Organization.