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

BACKGROUND: Results of studies to predict prolonged air leak (PAL; air leak longer than 5 days) 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 durat...

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Autores principales: Oh, Sang Gi, Jung, Yochun, Jheon, Sanghoon, Choi, Yunhee, Yun, Ju Sik, Na, Kook Joo, Ahn, Byoung Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260096/
https://www.ncbi.nlm.nih.gov/pubmed/28114952
http://dx.doi.org/10.1186/s13019-017-0568-6
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author Oh, Sang Gi
Jung, Yochun
Jheon, Sanghoon
Choi, Yunhee
Yun, Ju Sik
Na, Kook Joo
Ahn, Byoung Hee
author_facet Oh, Sang Gi
Jung, Yochun
Jheon, Sanghoon
Choi, Yunhee
Yun, Ju Sik
Na, Kook Joo
Ahn, Byoung Hee
author_sort Oh, Sang Gi
collection PubMed
description BACKGROUND: Results of studies to predict prolonged air leak (PAL; air leak longer than 5 days) 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 72 h 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 SUM(4to9), which was the sum of six consecutive values of air leak grades for every 8 h 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 SUM(4to9) ≥ 16. When 4 predictors derived from multivariable logistic regression of perioperative variables were combined with SUM(4to9), there was no significant increase in predictability compared with SUM(4to9) alone. CONCLUSIONS: This simple new method to predict PAL using SUM(4to9) 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.
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spelling pubmed-52600962017-01-26 Postoperative air leak grading is useful to predict prolonged air leak after pulmonary lobectomy Oh, Sang Gi Jung, Yochun Jheon, Sanghoon Choi, Yunhee Yun, Ju Sik Na, Kook Joo Ahn, Byoung Hee J Cardiothorac Surg Research Article BACKGROUND: Results of studies to predict prolonged air leak (PAL; air leak longer than 5 days) 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 72 h 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 SUM(4to9), which was the sum of six consecutive values of air leak grades for every 8 h 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 SUM(4to9) ≥ 16. When 4 predictors derived from multivariable logistic regression of perioperative variables were combined with SUM(4to9), there was no significant increase in predictability compared with SUM(4to9) alone. CONCLUSIONS: This simple new method to predict PAL using SUM(4to9) 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. BioMed Central 2017-01-23 /pmc/articles/PMC5260096/ /pubmed/28114952 http://dx.doi.org/10.1186/s13019-017-0568-6 Text en © The Author(s). 2017 Open AccessThis 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Oh, Sang Gi
Jung, Yochun
Jheon, Sanghoon
Choi, Yunhee
Yun, Ju Sik
Na, Kook Joo
Ahn, Byoung Hee
Postoperative air leak grading is useful to predict prolonged air leak after pulmonary lobectomy
title Postoperative air leak grading is useful to predict prolonged air leak after pulmonary lobectomy
title_full Postoperative air leak grading is useful to predict prolonged air leak after pulmonary lobectomy
title_fullStr Postoperative air leak grading is useful to predict prolonged air leak after pulmonary lobectomy
title_full_unstemmed Postoperative air leak grading is useful to predict prolonged air leak after pulmonary lobectomy
title_short Postoperative air leak grading is useful to predict prolonged air leak after pulmonary lobectomy
title_sort postoperative air leak grading is useful to predict prolonged air leak after pulmonary lobectomy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5260096/
https://www.ncbi.nlm.nih.gov/pubmed/28114952
http://dx.doi.org/10.1186/s13019-017-0568-6
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