Factores asociados a malformaciones congénitas del sistema nervioso central en recién nacidos de madres con Zika Thesis

short description

  • Master's thesis

Thesis author

  • Guasmayan Cruz, Lesly Milena
  • Quiroga Rojas, Angélica María

external tutor

  • Zarante, Ignacio

abstract

  • In May of 2015, the WHO/PAHO emitted alert for a virus Zika. In Colombia and Bogotá, was detected in October of 2015; Bogota is no an endemic area for not having weather conditions for a development vector, presenting latent risk due to the displacement to nearby endemic areas. In February of 2016, the WHO determined emergency for public health by association of Zika and congenital malformations of SNC. OBJECTIVE: Determine the Sociodemographic, environmental, and clinical factors, associated with the development of congenial malformations, of the SNC in newborns of pregnant women, with Sika infection in Bogota. METHODOLOGY: Case-control studies nested in a cohort of pregnant women, notified between October 2015 and October 2016, and RN from July 2016 to July 2017 in the SIVIGILA district by Sika. There were 159 confirmed by clinical and laboratory, with 40 cases (RN with malformations of the SNC) and 119 controls (RN without malformations of the SNC). RESULTS: The variables that could influence the development of congenital malformations of SNC, are no having presented rash and arthralgia, housewife occupation and less than 8 prenatal controls. CONCLUTIONS: The Sociodemographic factors associated with congenital malforations SNC, are low schooling of parents, belonging to the contributory regimen of social security in health and housewife occupation. The clinical variables that presented association were infections in the first trimester of pregnancy. Less than 8 controls prenatal and having had infection without fever, rash arthralgia or cephalic.

publication date

  • October 4, 2018 6:28 PM

keywords

  • Arthralgia
  • Congenital malformations
  • Immune system
  • Risk Factors
  • SNC
  • Zika
  • microcephaly
  • rash

Document Id

  • 1bf4555e-3598-4ffb-8d45-86f1629ba56f