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Perioperative Factors for Predicting the Need for Postoperative Intensive Care after Major Lung Resection

DC FieldValueLanguage
dc.contributor.author김승현-
dc.contributor.author김정민-
dc.contributor.author나성원-
dc.contributor.author박성용-
dc.contributor.author이진애-
dc.contributor.author정환호-
dc.date.accessioned2019-07-11T03:40:35Z-
dc.date.available2019-07-11T03:40:35Z-
dc.date.issued2019-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/170083-
dc.description.abstractPostoperative management after major lung surgery is critical. This study evaluates risk factors for predicting mandatory intensive care unit (ICU) admission immediately after major lung resection. We retrospectively reviewed patients for whom the surgeon requested an ICU bed before major lung resection surgery. Patients were classified into three groups. Univariable and multivariable logistic regression analyses were performed, and a clinical nomogram was constructed. Among 340 patients, 269, 50, and 21 were classified into the no need for ICU, mandatory ICU admission, and late-onset complication groups, respectively. Predictive postoperative diffusion capacity of the lung for carbon monoxide (47.2 (interquartile range (IQR) 43.3-65.7)% versus vs. 67.8 (57.1-79.7)%; p = 0.003, odds ratio (OR) 0.969, 95% confidence interval (CI) 0.95-0.99), intraoperative blood loss (400.00 (250.00-775.00) mL vs. 100.00 (50.00-250.00) mL; p = 0.040, OR 1.001, 95% CI 1.000-1.002), and open thoracotomy (p = 0.030, OR 2.794, 95% CI 1.11-7.07) were significant predictors for mandatory ICU admission. The risk estimation nomogram demonstrated good accuracy in estimating the risk of mandatory ICU admission (concordance index 83.53%). In order to predict the need for intensive care after major lung resection, preoperative and intraoperative factors need to be considered.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherMDPI AG-
dc.relation.isPartOfJOURNAL OF CLINICAL MEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titlePerioperative Factors for Predicting the Need for Postoperative Intensive Care after Major Lung Resection-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Anesthesiology and Pain Medicine (마취통증의학교실)-
dc.contributor.googleauthorSeung Hyun Kim-
dc.contributor.googleauthorSungwon Na-
dc.contributor.googleauthorSeong Yong Park-
dc.contributor.googleauthorJinae Lee-
dc.contributor.googleauthorYhen-Seung Kang-
dc.contributor.googleauthorHwan-ho Jung-
dc.contributor.googleauthorJeongmin Kim-
dc.identifier.doi10.3390/jcm8050744-
dc.contributor.localIdA05098-
dc.contributor.localIdA00884-
dc.contributor.localIdA00884-
dc.contributor.localIdA01232-
dc.contributor.localIdA01232-
dc.contributor.localIdA01508-
dc.contributor.localIdA01508-
dc.contributor.localIdA04641-
dc.contributor.localIdA04641-
dc.contributor.localIdA05415-
dc.contributor.localIdA05415-
dc.relation.journalcodeJ03556-
dc.identifier.eissn2077-0383-
dc.identifier.pmid31137710-
dc.subject.keywordintensive care-
dc.subject.keywordmajor lung resection-
dc.subject.keywordperioperative risk factors-
dc.contributor.alternativeNameKim, Seung Hyun-
dc.contributor.affiliatedAuthor김승현-
dc.contributor.affiliatedAuthor김정민-
dc.contributor.affiliatedAuthor김정민-
dc.contributor.affiliatedAuthor나성원-
dc.contributor.affiliatedAuthor나성원-
dc.contributor.affiliatedAuthor박성용-
dc.contributor.affiliatedAuthor박성용-
dc.contributor.affiliatedAuthor이진애-
dc.contributor.affiliatedAuthor이진애-
dc.contributor.affiliatedAuthor정환호-
dc.contributor.affiliatedAuthor정환호-
dc.citation.volume8-
dc.citation.number5-
dc.citation.startPageE744-
dc.citation.endPage12-
dc.identifier.bibliographicCitationJOURNAL OF CLINICAL MEDICINE, Vol.8(5) : E744-12, 2019-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Anesthesiology and Pain Medicine (마취통증의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Thoracic and Cardiovascular Surgery (흉부외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers

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