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 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.
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Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo
2016
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oai:scielo:S0104-116920160001003232016-08-22Prediction of risk and incidence of dry eye in critical patientsAraújo,Diego Dias deAlmeida,Natália GherardiSilva,Priscila Marinho AleixoRibeiro,Nayara SouzaWerli-Alvarenga,AndrezaChianca,Tânia Couto Machado Dry Eye Syndromes Corneal Diseases Intensive Care Units Nursing Nursing Diagnosis 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.info:eu-repo/semantics/openAccessEscola de Enfermagem de Ribeirão Preto / Universidade de São PauloRevista Latino-Americana de Enfermagem v.24 20162016-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-11692016000100323en10.1590/1518-8345.0897.2689 |
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Araújo,Diego Dias de Almeida,Natália Gherardi Silva,Priscila Marinho Aleixo Ribeiro,Nayara Souza Werli-Alvarenga,Andreza Chianca,Tânia Couto Machado |
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Araújo,Diego Dias de 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 |
| author_facet |
Araújo,Diego Dias de Almeida,Natália Gherardi Silva,Priscila Marinho Aleixo Ribeiro,Nayara Souza Werli-Alvarenga,Andreza Chianca,Tânia Couto Machado |
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Araújo,Diego Dias de |
| title |
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_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_sort |
prediction of risk and incidence of dry eye in critical patients |
| 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. |
| publisher |
Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo |
| publishDate |
2016 |
| url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-11692016000100323 |
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