Loading…
Prediction of risk and incidence of dry eye in critical patients
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. concurrent cohort, conducted between March and June, 2014, with 230 patients admitted to an intensiv...
Saved in:
Published in: | Revista latino-americana de enfermagem 2016-01, Vol.24, p.e2689-e2689 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c510t-a003f73e38c79e6e7183105ef0099d3c3c90ee41040510d862da34ea9d2df2433 |
---|---|
cites | cdi_FETCH-LOGICAL-c510t-a003f73e38c79e6e7183105ef0099d3c3c90ee41040510d862da34ea9d2df2433 |
container_end_page | e2689 |
container_issue | |
container_start_page | e2689 |
container_title | Revista latino-americana de enfermagem |
container_volume | 24 |
creator | de Araújo, Diego Dias Almeida, Natália Gherardi Silva, Priscila Marinho Aleixo Ribeiro, Nayara Souza Werli-Alvarenga, Andreza Chianca, Tânia Couto Machado |
description | 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.
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.
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).
dry eye is a common finding in patients admitted to adults intensive care units, and care for its prevention should be established. |
doi_str_mv | 10.1590/1518-8345.0897.2689 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_d6e8293b802e4a54b76c540681387de8</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><scielo_id>S0104_11692016000100323</scielo_id><doaj_id>oai_doaj_org_article_d6e8293b802e4a54b76c540681387de8</doaj_id><sourcerecordid>1790454609</sourcerecordid><originalsourceid>FETCH-LOGICAL-c510t-a003f73e38c79e6e7183105ef0099d3c3c90ee41040510d862da34ea9d2df2433</originalsourceid><addsrcrecordid>eNpVUU2LFDEUDKK44-ovEKSPXnp8-ezkIsrix8KCgnoOmeT1mrGnMyY9C_PvTZx1cE8hlXpVlVeEvKSwptLAGyqp7jUXcg3aDGumtHlEVmf0MVkBBdFTqswFeVbKFoAZCvQpuWADNUxQuSLvvmYM0S8xzV0auxzLr87NoYuzjwFnjw0N-djhESvY-RyX6N3U7d0ScV7Kc_JkdFPBF_fnJfnx8cP3q8_9zZdP11fvb3ovKSy9A-DjwJFrPxhUOFDNKUgcAYwJ3HNvAFHUwFD5QSsWHBfoTGBhZILzS3J90g3Jbe0-x53LR5tctH-BlG-tyzXahDYo1MzwjQaGwkmxGZSXApSmXA8BddVan7SKjzglu02HPNfw9lvbmG0bY0AVQL0CZ8387Wlgf9jsMPj68eymBykevszxp71Nd1ZoxQVtjq_vBXL6fcCy2F0sHqfJzZgOxdLBgJBCgalUfqL6nErJOJ5tKNhWvG0V21axbcXbVnydevV_wvPMv6b5H-qhpME</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1790454609</pqid></control><display><type>article</type><title>Prediction of risk and incidence of dry eye in critical patients</title><source>PubMed Central (Open Access)</source><source>Publicly Available Content (ProQuest)</source><source>SciELO</source><creator>de Araújo, Diego Dias ; Almeida, Natália Gherardi ; Silva, Priscila Marinho Aleixo ; Ribeiro, Nayara Souza ; Werli-Alvarenga, Andreza ; Chianca, Tânia Couto Machado</creator><creatorcontrib>de Araújo, Diego Dias ; Almeida, Natália Gherardi ; Silva, Priscila Marinho Aleixo ; Ribeiro, Nayara Souza ; Werli-Alvarenga, Andreza ; Chianca, Tânia Couto Machado</creatorcontrib><description>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.
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.
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).
dry eye is a common finding in patients admitted to adults intensive care units, and care for its prevention should be established.</description><identifier>ISSN: 0104-1169</identifier><identifier>ISSN: 1518-8345</identifier><identifier>EISSN: 1518-8345</identifier><identifier>EISSN: 0104-1169</identifier><identifier>DOI: 10.1590/1518-8345.0897.2689</identifier><identifier>PMID: 27192415</identifier><language>eng</language><publisher>Brazil: Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo</publisher><subject>Critical Care - statistics & numerical data ; Diagnóstico de Enfermería ; Dry Eye Syndromes - epidemiology ; Dry Eye Syndromes - prevention & control ; Enfermedades de la Córnea ; Enfermería ; Hospitalization - statistics & numerical data ; Humans ; Incidence ; Intensive Care Units - statistics & numerical data ; NURSING ; Original ; Risk Factors ; Síndrome de Ojo Seco ; Unidades de Cuidados Intensivos</subject><ispartof>Revista latino-americana de enfermagem, 2016-01, Vol.24, p.e2689-e2689</ispartof><rights>This work is licensed under a Creative Commons Attribution 4.0 International License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c510t-a003f73e38c79e6e7183105ef0099d3c3c90ee41040510d862da34ea9d2df2433</citedby><cites>FETCH-LOGICAL-c510t-a003f73e38c79e6e7183105ef0099d3c3c90ee41040510d862da34ea9d2df2433</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863418/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863418/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,24150,27924,27925,37013,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27192415$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>de Araújo, Diego Dias</creatorcontrib><creatorcontrib>Almeida, Natália Gherardi</creatorcontrib><creatorcontrib>Silva, Priscila Marinho Aleixo</creatorcontrib><creatorcontrib>Ribeiro, Nayara Souza</creatorcontrib><creatorcontrib>Werli-Alvarenga, Andreza</creatorcontrib><creatorcontrib>Chianca, Tânia Couto Machado</creatorcontrib><title>Prediction of risk and incidence of dry eye in critical patients</title><title>Revista latino-americana de enfermagem</title><addtitle>Rev Lat Am Enfermagem</addtitle><description>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.
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.
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).
dry eye is a common finding in patients admitted to adults intensive care units, and care for its prevention should be established.</description><subject>Critical Care - statistics & numerical data</subject><subject>Diagnóstico de Enfermería</subject><subject>Dry Eye Syndromes - epidemiology</subject><subject>Dry Eye Syndromes - prevention & control</subject><subject>Enfermedades de la Córnea</subject><subject>Enfermería</subject><subject>Hospitalization - statistics & numerical data</subject><subject>Humans</subject><subject>Incidence</subject><subject>Intensive Care Units - statistics & numerical data</subject><subject>NURSING</subject><subject>Original</subject><subject>Risk Factors</subject><subject>Síndrome de Ojo Seco</subject><subject>Unidades de Cuidados Intensivos</subject><issn>0104-1169</issn><issn>1518-8345</issn><issn>1518-8345</issn><issn>0104-1169</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVUU2LFDEUDKK44-ovEKSPXnp8-ezkIsrix8KCgnoOmeT1mrGnMyY9C_PvTZx1cE8hlXpVlVeEvKSwptLAGyqp7jUXcg3aDGumtHlEVmf0MVkBBdFTqswFeVbKFoAZCvQpuWADNUxQuSLvvmYM0S8xzV0auxzLr87NoYuzjwFnjw0N-djhESvY-RyX6N3U7d0ScV7Kc_JkdFPBF_fnJfnx8cP3q8_9zZdP11fvb3ovKSy9A-DjwJFrPxhUOFDNKUgcAYwJ3HNvAFHUwFD5QSsWHBfoTGBhZILzS3J90g3Jbe0-x53LR5tctH-BlG-tyzXahDYo1MzwjQaGwkmxGZSXApSmXA8BddVan7SKjzglu02HPNfw9lvbmG0bY0AVQL0CZ8387Wlgf9jsMPj68eymBykevszxp71Nd1ZoxQVtjq_vBXL6fcCy2F0sHqfJzZgOxdLBgJBCgalUfqL6nErJOJ5tKNhWvG0V21axbcXbVnydevV_wvPMv6b5H-qhpME</recordid><startdate>20160101</startdate><enddate>20160101</enddate><creator>de Araújo, Diego Dias</creator><creator>Almeida, Natália Gherardi</creator><creator>Silva, Priscila Marinho Aleixo</creator><creator>Ribeiro, Nayara Souza</creator><creator>Werli-Alvarenga, Andreza</creator><creator>Chianca, Tânia Couto Machado</creator><general>Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo</general><general>Universidade de São Paulo</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>GPN</scope><scope>DOA</scope></search><sort><creationdate>20160101</creationdate><title>Prediction of risk and incidence of dry eye in critical patients</title><author>de Araújo, Diego Dias ; Almeida, Natália Gherardi ; Silva, Priscila Marinho Aleixo ; Ribeiro, Nayara Souza ; Werli-Alvarenga, Andreza ; Chianca, Tânia Couto Machado</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c510t-a003f73e38c79e6e7183105ef0099d3c3c90ee41040510d862da34ea9d2df2433</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Critical Care - statistics & numerical data</topic><topic>Diagnóstico de Enfermería</topic><topic>Dry Eye Syndromes - epidemiology</topic><topic>Dry Eye Syndromes - prevention & control</topic><topic>Enfermedades de la Córnea</topic><topic>Enfermería</topic><topic>Hospitalization - statistics & numerical data</topic><topic>Humans</topic><topic>Incidence</topic><topic>Intensive Care Units - statistics & numerical data</topic><topic>NURSING</topic><topic>Original</topic><topic>Risk Factors</topic><topic>Síndrome de Ojo Seco</topic><topic>Unidades de Cuidados Intensivos</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Araújo, Diego Dias</creatorcontrib><creatorcontrib>Almeida, Natália Gherardi</creatorcontrib><creatorcontrib>Silva, Priscila Marinho Aleixo</creatorcontrib><creatorcontrib>Ribeiro, Nayara Souza</creatorcontrib><creatorcontrib>Werli-Alvarenga, Andreza</creatorcontrib><creatorcontrib>Chianca, Tânia Couto Machado</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SciELO</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Revista latino-americana de enfermagem</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Araújo, Diego Dias</au><au>Almeida, Natália Gherardi</au><au>Silva, Priscila Marinho Aleixo</au><au>Ribeiro, Nayara Souza</au><au>Werli-Alvarenga, Andreza</au><au>Chianca, Tânia Couto Machado</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of risk and incidence of dry eye in critical patients</atitle><jtitle>Revista latino-americana de enfermagem</jtitle><addtitle>Rev Lat Am Enfermagem</addtitle><date>2016-01-01</date><risdate>2016</risdate><volume>24</volume><spage>e2689</spage><epage>e2689</epage><pages>e2689-e2689</pages><issn>0104-1169</issn><issn>1518-8345</issn><eissn>1518-8345</eissn><eissn>0104-1169</eissn><abstract>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.
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.
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).
dry eye is a common finding in patients admitted to adults intensive care units, and care for its prevention should be established.</abstract><cop>Brazil</cop><pub>Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo</pub><pmid>27192415</pmid><doi>10.1590/1518-8345.0897.2689</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0104-1169 |
ispartof | Revista latino-americana de enfermagem, 2016-01, Vol.24, p.e2689-e2689 |
issn | 0104-1169 1518-8345 1518-8345 0104-1169 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_d6e8293b802e4a54b76c540681387de8 |
source | PubMed Central (Open Access); Publicly Available Content (ProQuest); SciELO |
subjects | Critical Care - statistics & numerical data Diagnóstico de Enfermería Dry Eye Syndromes - epidemiology Dry Eye Syndromes - prevention & control Enfermedades de la Córnea Enfermería Hospitalization - statistics & numerical data Humans Incidence Intensive Care Units - statistics & numerical data NURSING Original Risk Factors Síndrome de Ojo Seco Unidades de Cuidados Intensivos |
title | Prediction of risk and incidence of dry eye in critical patients |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T15%3A44%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prediction%20of%20risk%20and%20incidence%20of%20dry%20eye%20in%20critical%20patients&rft.jtitle=Revista%20latino-americana%20de%20enfermagem&rft.au=de%20Ara%C3%BAjo,%20Diego%20Dias&rft.date=2016-01-01&rft.volume=24&rft.spage=e2689&rft.epage=e2689&rft.pages=e2689-e2689&rft.issn=0104-1169&rft.eissn=1518-8345&rft_id=info:doi/10.1590/1518-8345.0897.2689&rft_dat=%3Cproquest_doaj_%3E1790454609%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c510t-a003f73e38c79e6e7183105ef0099d3c3c90ee41040510d862da34ea9d2df2433%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1790454609&rft_id=info:pmid/27192415&rft_scielo_id=S0104_11692016000100323&rfr_iscdi=true |