title: Prediction of risk and incidence of dry eye in critical patients.
abstract: OBJECTIVE
  to estimate the incidence of dry eye, to identify risk factors and to establish a risk prediction model for its development in adult patients admitted to the intensive care unit of a public hospital.
  
  
  METHODS
  concurrent cohort, conducted between March and June, 2014, with 230 patients admitted to an intensive care unit. Data were analyzed by bivariate descriptive statistics, with multivariate survival analysis and Cox regression.
  
  
  RESULTS
  53% out of 230 patients have developed dry eye, with onset mean time of 3.5 days. Independent variables that significantly and concurrently impacted the time for dry eye to occur were: O2 in room air, blinking more than five times per minute (lower risk factors) and presence of vascular disease (higher risk factor).
  
  
  CONCLUSIONS
  dry eye is a common finding in patients admitted to adults intensive care units, and care for its prevention should be established.
authors.affiliation: Escola de Enfermagem, Universidade Federal de Minas Gerais, Montes Claros, MG, Brazil.
authors.forename: Diego Dias
authors.initials: DD
authors.lastname: de Araújo
authors.affiliation: Secretaria Municipal de Saúde, Prefeitura Municipal de Belo Horizonte, Belo Horizonte, Brazil.
authors.forename: Natália Gherardi
authors.initials: NG
authors.lastname: Almeida
authors.affiliation: Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
authors.forename: Priscila Marinho Aleixo
authors.initials: PM
authors.lastname: Silva
authors.affiliation: Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
authors.forename: Nayara Souza
authors.initials: NS
authors.lastname: Ribeiro
authors.affiliation: Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
authors.forename: Andreza
authors.initials: A
authors.lastname: Werli-Alvarenga
authors.affiliation: Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
authors.forename: Tânia Couto Machado
authors.initials: TC
authors.lastname: Chianca
mesh_terms: D003422:Critical Care / Q000706:statistics & numerical data; D015352:Dry Eye Syndromes / Q000453:epidemiology* / Q000517:prevention & control; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D015994:Incidence; D007362:Intensive Care Units / Q000706:statistics & numerical data*; D012307:Risk Factors