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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.
Afiliação
  • Paixao ES; London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK. enny.cruz@lshtm.ac.uk.
  • Rodrigues LC; Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil. enny.cruz@lshtm.ac.uk.
  • Costa MDCN; London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK.
  • de Carvalho-Sauer RCO; Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.
  • Oliveira WK; Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.
  • Cardim LL; Instituto de Saude Coletiva, Federal University of Bahia, Salvador, Bahia, Brazil.
  • Schuler-Faccini L; East Regional Health Center of the State Health Secretariat of Bahia, Santo Antonio de Jesus, Bahia, Brazil.
  • Andrade RFS; Ministry of Defense Hospital das Armed Forces, Technical Directorate of Education and Research, Brasília, Brazil.
  • Rodrigues MS; Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.
  • Brickley EB; Genetics Department, Universidade Federal Do Rio Grande Do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
  • Veiga RV; Medical Genetics Service, Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil.
  • Costa LC; Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.
  • Carmo EH; Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.
  • Smeeth L; London School of Hygiene and Tropical Medicine, Keppel St, London, WC1E 7HT, UK.
  • Barreto ML; Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.
  • Teixeira MG; Center of Data and Knowledge Integration for Health (CIDACS), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil.
BMC Pregnancy Childbirth ; 22(1): 530, 2022 Jun 29.
Article em En | MEDLINE | ID: mdl-35768806
ABSTRACT

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Complicações Infecciosas na Gravidez / Zika virus / Infecção por Zika virus / Microcefalia Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Child / Female / Humans / Newborn / Pregnancy País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Complicações Infecciosas na Gravidez / Zika virus / Infecção por Zika virus / Microcefalia Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Child / Female / Humans / Newborn / Pregnancy País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2022 Tipo de documento: Article