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dc.contributor.authorPaixão, Enny Santos dapt_BR
dc.contributor.authorRodrigues, Laura Cunhapt_BR
dc.contributor.authorCosta, Maria da Conceição Nascimentopt_BR
dc.contributor.authorCarvalho-Sauer, Rita de Cassia Oliveirapt_BR
dc.contributor.authorOliveira, Wanderson Kleber dept_BR
dc.contributor.authorCardim, Luciana Lobatopt_BR
dc.contributor.authorFaccini, Lavinia Schulerpt_BR
dc.contributor.authorAndrade, Roberto Fernandes Silvapt_BR
dc.contributor.authorRodrigues, Moreno Magalhães de Souzapt_BR
dc.contributor.authorBrickley, Elizabeth B.pt_BR
dc.contributor.authorVeiga, Rafael Valentept_BR
dc.contributor.authorCosta, Larissa Catharinapt_BR
dc.contributor.authorCarmo, Eduardo Hagept_BR
dc.contributor.authorSmeeth, Liampt_BR
dc.contributor.authorBarreto, Mauricio Limapt_BR
dc.contributor.authorTeixeira, Maria Gloriapt_BR
dc.date.accessioned2023-11-11T03:26:08Zpt_BR
dc.date.issued2022pt_BR
dc.identifier.issn1471-2393pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/267053pt_BR
dc.description.abstractAbstract 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.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofBMC pregnancy and childbirth. United Kingdom. Vol. 22 (2022), e530, 10 p.pt_BR
dc.rightsOpen Accessen
dc.subjectZika viruspt_BR
dc.subjectCongenital zika syndromeen
dc.subjectInfecção por Zika viruspt_BR
dc.subjectImaging findingsen
dc.subjectMortalidadept_BR
dc.titlePopulation-based surveillance for congenital zika virus syndrome : a latent class analysis of recorded cases from 2015–2018pt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001153714pt_BR
dc.type.originEstrangeiropt_BR


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