Population-based surveillance for congenital zika virus syndrome : a latent class analysis of recorded cases from 2015–2018
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/267053 |
Resumo: | Abstract Objective: This study aims to describe clinical fndings 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 frst. Latent class analysis was used to cluster unconfrmed cases into classes with similar combinations of anthropometry at birth, imaging fndings, maternally reported rash, region, and year of birth. Kaplan–Meier curves were plotted, and Cox proportional hazards models were ftted to determine mortality up to 36 months Results: We followed 11,850 suspected cases of CZS, of which 28.3% were confrmed, 9.3% inconclusive and 62.4% unconfrmed. Confrmed cases had almost two times higher mortality when compared with unconfrmed cases. Among unconfrmed cases, we identifed three distinct clusters with diferent mortality trajectories. The highest mor‑ tality risk was observed in those with abnormal imaging fndings 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 fndings. 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 fnal diagnoses. |
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Paixão, Enny Santos daRodrigues, Laura CunhaCosta, Maria da Conceição NascimentoCarvalho-Sauer, Rita de Cassia OliveiraOliveira, Wanderson Kleber deCardim, Luciana LobatoFaccini, Lavinia SchulerAndrade, Roberto Fernandes SilvaRodrigues, Moreno Magalhães de SouzaBrickley, Elizabeth B.Veiga, Rafael ValenteCosta, Larissa CatharinaCarmo, Eduardo HageSmeeth, LiamBarreto, Mauricio LimaTeixeira, Maria Gloria2023-11-11T03:26:08Z20221471-2393http://hdl.handle.net/10183/267053001153714Abstract Objective: This study aims to describe clinical fndings 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 frst. Latent class analysis was used to cluster unconfrmed cases into classes with similar combinations of anthropometry at birth, imaging fndings, maternally reported rash, region, and year of birth. Kaplan–Meier curves were plotted, and Cox proportional hazards models were ftted to determine mortality up to 36 months Results: We followed 11,850 suspected cases of CZS, of which 28.3% were confrmed, 9.3% inconclusive and 62.4% unconfrmed. Confrmed cases had almost two times higher mortality when compared with unconfrmed cases. Among unconfrmed cases, we identifed three distinct clusters with diferent mortality trajectories. The highest mor‑ tality risk was observed in those with abnormal imaging fndings 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 fndings. 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 fnal diagnoses.application/pdfengBMC pregnancy and childbirth. United Kingdom. Vol. 22 (2022), e530, 10 p.Zika virusInfecção por Zika virusMortalidadeCongenital zika syndromeImaging findingsPopulation-based surveillance for congenital zika virus syndrome : a latent class analysis of recorded cases from 2015–2018Estrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001153714.pdf.txt001153714.pdf.txtExtracted Texttext/plain0http://www.lume.ufrgs.br/bitstream/10183/267053/2/001153714.pdf.txtd41d8cd98f00b204e9800998ecf8427eMD52ORIGINAL001153714.pdfTexto completo (inglês)application/pdf3326974http://www.lume.ufrgs.br/bitstream/10183/267053/1/001153714.pdfa6d353864d24ad262b3f4b8befbdc4e7MD5110183/2670532024-09-21 06:42:40.789089oai:www.lume.ufrgs.br:10183/267053Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2024-09-21T09:42:40Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
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 |
spellingShingle |
Population-based surveillance for congenital zika virus syndrome : a latent class analysis of recorded cases from 2015–2018 Paixão, Enny Santos da Zika virus Infecção por Zika virus Mortalidade Congenital zika syndrome Imaging findings |
title_short |
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_sort |
Population-based surveillance for congenital zika virus syndrome : a latent class analysis of recorded cases from 2015–2018 |
author |
Paixão, Enny Santos da |
author_facet |
Paixão, Enny Santos da Rodrigues, Laura Cunha Costa, Maria da Conceição Nascimento Carvalho-Sauer, Rita de Cassia Oliveira Oliveira, Wanderson Kleber de Cardim, Luciana Lobato Faccini, Lavinia Schuler Andrade, Roberto Fernandes Silva Rodrigues, Moreno Magalhães de Souza Brickley, Elizabeth B. Veiga, Rafael Valente Costa, Larissa Catharina Carmo, Eduardo Hage Smeeth, Liam Barreto, Mauricio Lima Teixeira, Maria Gloria |
author_role |
author |
author2 |
Rodrigues, Laura Cunha Costa, Maria da Conceição Nascimento Carvalho-Sauer, Rita de Cassia Oliveira Oliveira, Wanderson Kleber de Cardim, Luciana Lobato Faccini, Lavinia Schuler Andrade, Roberto Fernandes Silva Rodrigues, Moreno Magalhães de Souza Brickley, Elizabeth B. Veiga, Rafael Valente Costa, Larissa Catharina Carmo, Eduardo Hage Smeeth, Liam Barreto, Mauricio Lima Teixeira, Maria Gloria |
author2_role |
author author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Paixão, Enny Santos da Rodrigues, Laura Cunha Costa, Maria da Conceição Nascimento Carvalho-Sauer, Rita de Cassia Oliveira Oliveira, Wanderson Kleber de Cardim, Luciana Lobato Faccini, Lavinia Schuler Andrade, Roberto Fernandes Silva Rodrigues, Moreno Magalhães de Souza Brickley, Elizabeth B. Veiga, Rafael Valente Costa, Larissa Catharina Carmo, Eduardo Hage Smeeth, Liam Barreto, Mauricio Lima Teixeira, Maria Gloria |
dc.subject.por.fl_str_mv |
Zika virus Infecção por Zika virus Mortalidade |
topic |
Zika virus Infecção por Zika virus Mortalidade Congenital zika syndrome Imaging findings |
dc.subject.eng.fl_str_mv |
Congenital zika syndrome Imaging findings |
description |
Abstract Objective: This study aims to describe clinical fndings 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 frst. Latent class analysis was used to cluster unconfrmed cases into classes with similar combinations of anthropometry at birth, imaging fndings, maternally reported rash, region, and year of birth. Kaplan–Meier curves were plotted, and Cox proportional hazards models were ftted to determine mortality up to 36 months Results: We followed 11,850 suspected cases of CZS, of which 28.3% were confrmed, 9.3% inconclusive and 62.4% unconfrmed. Confrmed cases had almost two times higher mortality when compared with unconfrmed cases. Among unconfrmed cases, we identifed three distinct clusters with diferent mortality trajectories. The highest mor‑ tality risk was observed in those with abnormal imaging fndings 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 fndings. 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 fnal diagnoses. |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022 |
dc.date.accessioned.fl_str_mv |
2023-11-11T03:26:08Z |
dc.type.driver.fl_str_mv |
Estrangeiro info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/267053 |
dc.identifier.issn.pt_BR.fl_str_mv |
1471-2393 |
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001153714 |
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1471-2393 001153714 |
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http://hdl.handle.net/10183/267053 |
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eng |
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BMC pregnancy and childbirth. United Kingdom. Vol. 22 (2022), e530, 10 p. |
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openAccess |
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