Cargando…

Prediction of risk and incidence of dry eye in critical patients

OBJECTIVES: 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. METHOD: concurrent cohort, conducted between March and June, 2014, with 230 patients adm...

Descripción completa

Detalles Bibliográficos
Autores principales: de Araújo, Diego Dias, Almeida, Natália Gherardi, Silva, Priscila Marinho Aleixo, Ribeiro, Nayara Souza, Werli-Alvarenga, Andreza, Chianca, Tânia Couto Machado
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863418/
https://www.ncbi.nlm.nih.gov/pubmed/27192415
http://dx.doi.org/10.1590/1518-8345.0897.2689
_version_ 1782431478658891776
author de Araújo, Diego Dias
Almeida, Natália Gherardi
Silva, Priscila Marinho Aleixo
Ribeiro, Nayara Souza
Werli-Alvarenga, Andreza
Chianca, Tânia Couto Machado
author_facet de Araújo, Diego Dias
Almeida, Natália Gherardi
Silva, Priscila Marinho Aleixo
Ribeiro, Nayara Souza
Werli-Alvarenga, Andreza
Chianca, Tânia Couto Machado
author_sort de Araújo, Diego Dias
collection PubMed
description OBJECTIVES: 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. METHOD: 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). CONCLUSION: dry eye is a common finding in patients admitted to adults intensive care units, and care for its prevention should be established.
format Online
Article
Text
id pubmed-4863418
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo
record_format MEDLINE/PubMed
spelling pubmed-48634182016-05-20 Prediction of risk and incidence of dry eye in critical patients de Araújo, Diego Dias Almeida, Natália Gherardi Silva, Priscila Marinho Aleixo Ribeiro, Nayara Souza Werli-Alvarenga, Andreza Chianca, Tânia Couto Machado Rev Lat Am Enfermagem Original Articles OBJECTIVES: 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. METHOD: 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). CONCLUSION: dry eye is a common finding in patients admitted to adults intensive care units, and care for its prevention should be established. Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo 2016-05-17 /pmc/articles/PMC4863418/ /pubmed/27192415 http://dx.doi.org/10.1590/1518-8345.0897.2689 Text en http://creativecommons.org/licenses/by/4.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License
spellingShingle Original Articles
de Araújo, Diego Dias
Almeida, Natália Gherardi
Silva, Priscila Marinho Aleixo
Ribeiro, Nayara Souza
Werli-Alvarenga, Andreza
Chianca, Tânia Couto Machado
Prediction of risk and incidence of dry eye in critical patients
title Prediction of risk and incidence of dry eye in critical patients
title_full Prediction of risk and incidence of dry eye in critical patients
title_fullStr Prediction of risk and incidence of dry eye in critical patients
title_full_unstemmed Prediction of risk and incidence of dry eye in critical patients
title_short Prediction of risk and incidence of dry eye in critical patients
title_sort prediction of risk and incidence of dry eye in critical patients
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863418/
https://www.ncbi.nlm.nih.gov/pubmed/27192415
http://dx.doi.org/10.1590/1518-8345.0897.2689
work_keys_str_mv AT dearaujodiegodias predictionofriskandincidenceofdryeyeincriticalpatients
AT almeidanataliagherardi predictionofriskandincidenceofdryeyeincriticalpatients
AT silvapriscilamarinhoaleixo predictionofriskandincidenceofdryeyeincriticalpatients
AT ribeironayarasouza predictionofriskandincidenceofdryeyeincriticalpatients
AT werlialvarengaandreza predictionofriskandincidenceofdryeyeincriticalpatients
AT chiancataniacoutomachado predictionofriskandincidenceofdryeyeincriticalpatients