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Population-based surveillance for congenital zika virus syndrome: a latent class analysis of recorded cases from 2015–2018

OBJECTIVE: This study aims to describe clinical findings and determine the medium-term survival of congenital zika syndrome (CZS) suspected cases. METHODS: A retrospective cohort study using routine register-based linked data. It included all suspected cases of CZS born in Brazil from January 1, 201...

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Autores principales: Paixao, Enny S., Rodrigues, Laura C., Costa, Maria da Conceição N., de Carvalho-Sauer, Rita de Cassia Oliveira, Oliveira, Wanderson K., Cardim, Luciana L., Schuler-Faccini, Lavinia, Andrade, Roberto F. S., Rodrigues, Moreno S., Brickley, Elizabeth B., Veiga, Rafael V., Costa, Larissa C., Carmo, Eduardo H., Smeeth, Liam, Barreto, Mauricio L., Teixeira, Maria Gloria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245223/
https://www.ncbi.nlm.nih.gov/pubmed/35768806
http://dx.doi.org/10.1186/s12884-022-04860-3
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author Paixao, Enny S.
Rodrigues, Laura C.
Costa, Maria da Conceição N.
de Carvalho-Sauer, Rita de Cassia Oliveira
Oliveira, Wanderson K.
Cardim, Luciana L.
Schuler-Faccini, Lavinia
Andrade, Roberto F. S.
Rodrigues, Moreno S.
Brickley, Elizabeth B.
Veiga, Rafael V.
Costa, Larissa C.
Carmo, Eduardo H.
Smeeth, Liam
Barreto, Mauricio L.
Teixeira, Maria Gloria
author_facet Paixao, Enny S.
Rodrigues, Laura C.
Costa, Maria da Conceição N.
de Carvalho-Sauer, Rita de Cassia Oliveira
Oliveira, Wanderson K.
Cardim, Luciana L.
Schuler-Faccini, Lavinia
Andrade, Roberto F. S.
Rodrigues, Moreno S.
Brickley, Elizabeth B.
Veiga, Rafael V.
Costa, Larissa C.
Carmo, Eduardo H.
Smeeth, Liam
Barreto, Mauricio L.
Teixeira, Maria Gloria
author_sort Paixao, Enny S.
collection PubMed
description OBJECTIVE: This study aims to describe clinical findings and determine the medium-term survival of congenital zika syndrome (CZS) suspected cases. METHODS: A retrospective cohort study using routine register-based linked data. It included all suspected cases of CZS born in Brazil from January 1, 2015, to December 31, 2018, and followed up from birth until death, 36 months, or December 31, 2018, whichever came first. Latent class analysis was used to cluster unconfirmed cases into classes with similar combinations of anthropometry at birth, imaging findings, maternally reported rash, region, and year of birth. Kaplan–Meier curves were plotted, and Cox proportional hazards models were fitted to determine mortality up to 36 months. RESULTS: We followed 11,850 suspected cases of CZS, of which 28.3% were confirmed, 9.3% inconclusive and 62.4% unconfirmed. Confirmed cases had almost two times higher mortality when compared with unconfirmed cases. Among unconfirmed cases, we identified three distinct clusters with different mortality trajectories. The highest mortality risk was observed in those with abnormal imaging findings compatible with congenital infections (HR = 12.6; IC95%8.8–18.0) and other abnormalities (HR = 11.6; IC95%8.6–15.6) compared with those with normal imaging findings. The risk was high in those with severe microcephaly (HR = 8.2; IC95%6.4–10.6) and macrocephaly (HR = 6.6; IC95%4.5–9.7) compared with normal head size. CONCLUSION: Abnormal imaging and head circumference appear to be the main drivers of the increased mortality among suspected cases of CZS. We suggest identifying children who are more likely to die and have a greater need to optimise interventions and resource allocation regardless of the final diagnoses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04860-3.
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spelling pubmed-92452232022-07-01 Population-based surveillance for congenital zika virus syndrome: a latent class analysis of recorded cases from 2015–2018 Paixao, Enny S. Rodrigues, Laura C. Costa, Maria da Conceição N. de Carvalho-Sauer, Rita de Cassia Oliveira Oliveira, Wanderson K. Cardim, Luciana L. Schuler-Faccini, Lavinia Andrade, Roberto F. S. Rodrigues, Moreno S. Brickley, Elizabeth B. Veiga, Rafael V. Costa, Larissa C. Carmo, Eduardo H. Smeeth, Liam Barreto, Mauricio L. Teixeira, Maria Gloria BMC Pregnancy Childbirth Research OBJECTIVE: This study aims to describe clinical findings and determine the medium-term survival of congenital zika syndrome (CZS) suspected cases. METHODS: A retrospective cohort study using routine register-based linked data. It included all suspected cases of CZS born in Brazil from January 1, 2015, to December 31, 2018, and followed up from birth until death, 36 months, or December 31, 2018, whichever came first. Latent class analysis was used to cluster unconfirmed cases into classes with similar combinations of anthropometry at birth, imaging findings, maternally reported rash, region, and year of birth. Kaplan–Meier curves were plotted, and Cox proportional hazards models were fitted to determine mortality up to 36 months. RESULTS: We followed 11,850 suspected cases of CZS, of which 28.3% were confirmed, 9.3% inconclusive and 62.4% unconfirmed. Confirmed cases had almost two times higher mortality when compared with unconfirmed cases. Among unconfirmed cases, we identified three distinct clusters with different mortality trajectories. The highest mortality risk was observed in those with abnormal imaging findings compatible with congenital infections (HR = 12.6; IC95%8.8–18.0) and other abnormalities (HR = 11.6; IC95%8.6–15.6) compared with those with normal imaging findings. The risk was high in those with severe microcephaly (HR = 8.2; IC95%6.4–10.6) and macrocephaly (HR = 6.6; IC95%4.5–9.7) compared with normal head size. CONCLUSION: Abnormal imaging and head circumference appear to be the main drivers of the increased mortality among suspected cases of CZS. We suggest identifying children who are more likely to die and have a greater need to optimise interventions and resource allocation regardless of the final diagnoses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04860-3. BioMed Central 2022-06-29 /pmc/articles/PMC9245223/ /pubmed/35768806 http://dx.doi.org/10.1186/s12884-022-04860-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Paixao, Enny S.
Rodrigues, Laura C.
Costa, Maria da Conceição N.
de Carvalho-Sauer, Rita de Cassia Oliveira
Oliveira, Wanderson K.
Cardim, Luciana L.
Schuler-Faccini, Lavinia
Andrade, Roberto F. S.
Rodrigues, Moreno S.
Brickley, Elizabeth B.
Veiga, Rafael V.
Costa, Larissa C.
Carmo, Eduardo H.
Smeeth, Liam
Barreto, Mauricio L.
Teixeira, Maria Gloria
Population-based surveillance for congenital zika virus syndrome: a latent class analysis of recorded cases from 2015–2018
title Population-based surveillance for congenital zika virus syndrome: a latent class analysis of recorded cases from 2015–2018
title_full Population-based surveillance for congenital zika virus syndrome: a latent class analysis of recorded cases from 2015–2018
title_fullStr Population-based surveillance for congenital zika virus syndrome: a latent class analysis of recorded cases from 2015–2018
title_full_unstemmed Population-based surveillance for congenital zika virus syndrome: a latent class analysis of recorded cases from 2015–2018
title_short Population-based surveillance for congenital zika virus syndrome: a latent class analysis of recorded cases from 2015–2018
title_sort population-based surveillance for congenital zika virus syndrome: a latent class analysis of recorded cases from 2015–2018
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9245223/
https://www.ncbi.nlm.nih.gov/pubmed/35768806
http://dx.doi.org/10.1186/s12884-022-04860-3
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