Ventilator Dependence Risk Score for the Prediction of Prolonged Mechanical Ventilation in Patients Who Survive Sepsis/Septic Shock with Respiratory Failure
We intended to develop a scoring system to predict mechanical ventilator dependence in patients who survive sepsis/septic shock with respiratory failure. This study evaluated 251 adult patients in medical intensive care units (ICUs) between August 2013 to October 2015, who had survived for over 21 d...
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| Veröffentlicht in: | Scientific reports 2018-04, Vol.8 (1), p.5650-11, Article 5650 |
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| description | We intended to develop a scoring system to predict mechanical ventilator dependence in patients who survive sepsis/septic shock with respiratory failure. This study evaluated 251 adult patients in medical intensive care units (ICUs) between August 2013 to October 2015, who had survived for over 21 days and received aggressive treatment. The risk factors for ventilator dependence were determined. We then constructed a ventilator dependence (VD) risk score using the identified risk factors. The ventilator dependence risk score was calculated as the sum of the following four variables after being adjusted by proportion to the beta coefficient. We assigned a history of previous stroke, a score of one point, platelet count less than 150,000/μL a score of one point, pH value less than 7.35 a score of two points, and the fraction of inspired oxygen on admission day 7 over 39% as two points. The area under the curve in the derivation group was 0.725 (p |
| doi_str_mv | 10.1038/s41598-018-24028-4 |
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This study evaluated 251 adult patients in medical intensive care units (ICUs) between August 2013 to October 2015, who had survived for over 21 days and received aggressive treatment. The risk factors for ventilator dependence were determined. We then constructed a ventilator dependence (VD) risk score using the identified risk factors. The ventilator dependence risk score was calculated as the sum of the following four variables after being adjusted by proportion to the beta coefficient. We assigned a history of previous stroke, a score of one point, platelet count less than 150,000/μL a score of one point, pH value less than 7.35 a score of two points, and the fraction of inspired oxygen on admission day 7 over 39% as two points. The area under the curve in the derivation group was 0.725 (p < 0.001). We then applied the VD risk score for validation on 175 patients. The area under the curve in the validation group was 0.658 (p = 0.001). VD risk score could be applied to predict prolonged mechanical ventilation in patients who survive sepsis/septic shock.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-018-24028-4</identifier><identifier>PMID: 29618837</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/499 ; 692/699/1785/3193 ; Humanities and Social Sciences ; Intensive care units ; Mechanical ventilation ; multidisciplinary ; Patients ; Respiratory failure ; Respiratory therapy ; Risk factors ; Science ; Science (multidisciplinary) ; Sepsis ; Septic shock ; Ventilators</subject><ispartof>Scientific reports, 2018-04, Vol.8 (1), p.5650-11, Article 5650</ispartof><rights>The Author(s) 2018</rights><rights>2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-e7aecfa5effe7c950826af22eff46258b6570fd6f6cc9b74e7ee845380fc6d113</citedby><cites>FETCH-LOGICAL-c474t-e7aecfa5effe7c950826af22eff46258b6570fd6f6cc9b74e7ee845380fc6d113</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/PMC5884833/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884833/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27903,27904,41099,42168,51554,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29618837$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chang, Ya-Chun</creatorcontrib><creatorcontrib>Huang, Kuo-Tung</creatorcontrib><creatorcontrib>Chen, Yu-Mu</creatorcontrib><creatorcontrib>Wang, Chin-Chou</creatorcontrib><creatorcontrib>Wang, Yi-Hsi</creatorcontrib><creatorcontrib>Tseng, Chia-Cheng</creatorcontrib><creatorcontrib>Lin, Meng-Chih</creatorcontrib><creatorcontrib>Fang, Wen-Feng</creatorcontrib><title>Ventilator Dependence Risk Score for the Prediction of Prolonged Mechanical Ventilation in Patients Who Survive Sepsis/Septic Shock with Respiratory Failure</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>We intended to develop a scoring system to predict mechanical ventilator dependence in patients who survive sepsis/septic shock with respiratory failure. This study evaluated 251 adult patients in medical intensive care units (ICUs) between August 2013 to October 2015, who had survived for over 21 days and received aggressive treatment. The risk factors for ventilator dependence were determined. We then constructed a ventilator dependence (VD) risk score using the identified risk factors. The ventilator dependence risk score was calculated as the sum of the following four variables after being adjusted by proportion to the beta coefficient. We assigned a history of previous stroke, a score of one point, platelet count less than 150,000/μL a score of one point, pH value less than 7.35 a score of two points, and the fraction of inspired oxygen on admission day 7 over 39% as two points. The area under the curve in the derivation group was 0.725 (p < 0.001). We then applied the VD risk score for validation on 175 patients. The area under the curve in the validation group was 0.658 (p = 0.001). VD risk score could be applied to predict prolonged mechanical ventilation in patients who survive sepsis/septic shock.</description><subject>692/499</subject><subject>692/699/1785/3193</subject><subject>Humanities and Social Sciences</subject><subject>Intensive care units</subject><subject>Mechanical ventilation</subject><subject>multidisciplinary</subject><subject>Patients</subject><subject>Respiratory failure</subject><subject>Respiratory therapy</subject><subject>Risk factors</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Sepsis</subject><subject>Septic shock</subject><subject>Ventilators</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kctu1TAQhiMEolXpC7BAltiwCfU1djZIqFBAKqLq4bK0fJxx4zbHDnZyUN-Fh8XhtKWwwJvxeL75PaO_qp4S_JJgpo4yJ6JVNSaqphxTVfMH1T7FXNSUUfrw3n2vOsz5EpcjaMtJ-7jao21DlGJyv_r5FcLkBzPFhN7ACKGDYAGd-3yFVjYmQK5Uph7QWYLO28nHgKIrWRxiuIAOfQTbm-CtGdCt1sL4gM7Krbxk9K2PaDWnrd8CWsGYfT4qYfIWrfpor9APP_XoHPLo0zLINToxfpgTPKkeOTNkOLyJB9WXk7efj9_Xp5_efTh-fVpbLvlUgzRgnRHgHEjbCqxoYxylJecNFWrdCIld17jG2nYtOUgAxQVT2NmmI4QdVK92uuO83kBny9DJDHpMfmPStY7G678rwff6Im61UIorxorAixuBFL_PkCe98dnCMJgAcc6aYkoJbUmzoM__QS_jnEJZb6GIFEwQWSi6o2yKOSdwd8MQrBf_9c5_XfzXv_3XvDQ9u7_GXcut2wVgOyCXUjEv_fn7P7K_ALKwv5o</recordid><startdate>20180404</startdate><enddate>20180404</enddate><creator>Chang, Ya-Chun</creator><creator>Huang, Kuo-Tung</creator><creator>Chen, Yu-Mu</creator><creator>Wang, Chin-Chou</creator><creator>Wang, Yi-Hsi</creator><creator>Tseng, Chia-Cheng</creator><creator>Lin, Meng-Chih</creator><creator>Fang, Wen-Feng</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180404</creationdate><title>Ventilator Dependence Risk Score for the Prediction of Prolonged Mechanical Ventilation in Patients Who Survive Sepsis/Septic Shock with Respiratory Failure</title><author>Chang, Ya-Chun ; Huang, Kuo-Tung ; Chen, Yu-Mu ; Wang, Chin-Chou ; Wang, Yi-Hsi ; Tseng, Chia-Cheng ; Lin, Meng-Chih ; Fang, Wen-Feng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-e7aecfa5effe7c950826af22eff46258b6570fd6f6cc9b74e7ee845380fc6d113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>692/499</topic><topic>692/699/1785/3193</topic><topic>Humanities and Social Sciences</topic><topic>Intensive care units</topic><topic>Mechanical ventilation</topic><topic>multidisciplinary</topic><topic>Patients</topic><topic>Respiratory failure</topic><topic>Respiratory therapy</topic><topic>Risk factors</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Sepsis</topic><topic>Septic shock</topic><topic>Ventilators</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chang, Ya-Chun</creatorcontrib><creatorcontrib>Huang, Kuo-Tung</creatorcontrib><creatorcontrib>Chen, Yu-Mu</creatorcontrib><creatorcontrib>Wang, Chin-Chou</creatorcontrib><creatorcontrib>Wang, Yi-Hsi</creatorcontrib><creatorcontrib>Tseng, Chia-Cheng</creatorcontrib><creatorcontrib>Lin, Meng-Chih</creatorcontrib><creatorcontrib>Fang, Wen-Feng</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chang, Ya-Chun</au><au>Huang, Kuo-Tung</au><au>Chen, Yu-Mu</au><au>Wang, Chin-Chou</au><au>Wang, Yi-Hsi</au><au>Tseng, Chia-Cheng</au><au>Lin, Meng-Chih</au><au>Fang, Wen-Feng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ventilator Dependence Risk Score for the Prediction of Prolonged Mechanical Ventilation in Patients Who Survive Sepsis/Septic Shock with Respiratory Failure</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2018-04-04</date><risdate>2018</risdate><volume>8</volume><issue>1</issue><spage>5650</spage><epage>11</epage><pages>5650-11</pages><artnum>5650</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>We intended to develop a scoring system to predict mechanical ventilator dependence in patients who survive sepsis/septic shock with respiratory failure. This study evaluated 251 adult patients in medical intensive care units (ICUs) between August 2013 to October 2015, who had survived for over 21 days and received aggressive treatment. The risk factors for ventilator dependence were determined. We then constructed a ventilator dependence (VD) risk score using the identified risk factors. The ventilator dependence risk score was calculated as the sum of the following four variables after being adjusted by proportion to the beta coefficient. We assigned a history of previous stroke, a score of one point, platelet count less than 150,000/μL a score of one point, pH value less than 7.35 a score of two points, and the fraction of inspired oxygen on admission day 7 over 39% as two points. The area under the curve in the derivation group was 0.725 (p < 0.001). We then applied the VD risk score for validation on 175 patients. The area under the curve in the validation group was 0.658 (p = 0.001). VD risk score could be applied to predict prolonged mechanical ventilation in patients who survive sepsis/septic shock.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>29618837</pmid><doi>10.1038/s41598-018-24028-4</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | 692/499 692/699/1785/3193 Humanities and Social Sciences Intensive care units Mechanical ventilation multidisciplinary Patients Respiratory failure Respiratory therapy Risk factors Science Science (multidisciplinary) Sepsis Septic shock Ventilators |
| title | Ventilator Dependence Risk Score for the Prediction of Prolonged Mechanical Ventilation in Patients Who Survive Sepsis/Septic Shock with Respiratory Failure |
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