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Postoperative air leak grading is useful to predict prolonged air leak after pulmonary lobectomy

DC Field Value Language
dc.contributor.authorOh, Sang Gi-
dc.contributor.authorJung, Yochun-
dc.contributor.authorJheon, Sanghoon-
dc.contributor.authorChoi, Yunhee-
dc.contributor.authorYun, Ju Sik-
dc.contributor.authorNa, Kook Joo-
dc.contributor.authorAhn, Byoung Hee-
dc.date.accessioned2017-02-02T02:33:10Z-
dc.date.available2017-02-02T02:33:10Z-
dc.date.issued2017-01-23-
dc.identifier.citationJournal of Cardiothoracic Surgery, 12(1):1ko_KR
dc.identifier.urihttps://hdl.handle.net/10371/100384-
dc.descriptionThis article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made.
ko_KR
dc.description.abstractBackground
Results of studies to predict prolonged air leak (PAL; air leak longer than 5days) after pulmonary lobectomy have been inconsistent and are of limited use. We developed a new scale representing the amount of early postoperative air leak and determined its correlation with air leak duration and its potential as a predictor of PAL.

Methods
We grade postoperative air leak using a 5-grade scale. All 779 lobectomies from January 2005 to December 2009 with available medical records were reviewed retrospectively. We devised six SUM variables using air leak grades in the initial 72h postoperatively.

Results
Excluding unrecorded cases and postoperative broncho-pleural fistulas, there were 720 lobectomies. PAL occurred in 135 cases (18.8%). Correlation analyses showed each SUM variable highly correlated with air leak duration, and the SUM4to9, which was the sum of six consecutive values of air leak grades for every 8h record on postoperative days 2 and 3, was proved to be the most powerful predictor of PAL; PAL could be predicted with 75.7% and 77.7% positive and negative predictive value, respectively, when SUM4to9 ≥ 16. When 4 predictors derived from multivariable logistic regression of perioperative variables were combined with SUM4to9, there was no significant increase in predictability compared with SUM4to9 alone.

Conclusions
This simple new method to predict PAL using SUM4to9 showed that the amount of early postoperative air leak is the most powerful predictor of PAL, therefore, grading air leak after pulmonary lobectomy is a useful method to predict PAL.
ko_KR
dc.language.isoenko_KR
dc.publisherBioMed Centralko_KR
dc.subjectProlonged air leakko_KR
dc.subjectLobectomyko_KR
dc.subjectAir leak gradeko_KR
dc.titlePostoperative air leak grading is useful to predict prolonged air leak after pulmonary lobectomyko_KR
dc.typeArticleko_KR
dc.contributor.AlternativeAuthor오상기-
dc.contributor.AlternativeAuthor정요천-
dc.contributor.AlternativeAuthor전상훈-
dc.contributor.AlternativeAuthor윤주식-
dc.contributor.AlternativeAuthor나국주-
dc.contributor.AlternativeAuthor안병희-
dc.identifier.doi10.1186/s13019-017-0568-6-
dc.language.rfc3066en-
dc.rights.holderThe Author(s).-
dc.date.updated2017-01-29T03:03:53Z-
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