A risk score for predicting respiratory complications after thoracic surgery

© The Author(s) 2019. Background: Respiratory complications are some of the most common complications following thoracic surgery and can lead to higher perioperative morbidity and mortality. The purpose of this study was to develop a simple clinical score for prediction of respiratory complications...

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Main Authors: Tanyong Pipanmekaporn, Nutchanart Bunchungmongkol, Yodying Punjasawadwong, Worawut Lapisatepun, Apichat Tantraworasin, Surasak Saokaew
Format: Journal
Published: 2019
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/65758
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-657582019-08-05T04:40:34Z A risk score for predicting respiratory complications after thoracic surgery Tanyong Pipanmekaporn Nutchanart Bunchungmongkol Yodying Punjasawadwong Worawut Lapisatepun Apichat Tantraworasin Surasak Saokaew Medicine © The Author(s) 2019. Background: Respiratory complications are some of the most common complications following thoracic surgery and can lead to higher perioperative morbidity and mortality. The purpose of this study was to develop a simple clinical score for prediction of respiratory complications after thoracic surgery, and determine the internal validity. Methods: In this retrospective cohort study, all consecutive patients were aged 18 years and over and undergoing non-cardiac thoracic surgery at a tertiary-care university hospital. Respiratory complications included bronchospasm, atelectasis, pneumonia, respiratory failure, and adult respiratory distress syndrome within 30 days of surgery or before discharge. Results: A total of 1488 patients were included over a 7-year period, and 15.8% (235 of 1488 patients) developed respiratory complications. The significant predictors of respiratory complications were chronic obstructive pulmonary disease, American Society of Anesthesiologist physical status ≥ 3, right-sided surgery, duration of surgery longer than 180 min, preoperative arterial oxygen saturation on room air < 96%, and open thoracotomy. The area under receiving operating characteristic curve was 0.78 (95% confidence interval: 0.75–0.82) and 0.76 (95% confidence interval: 0.70–0.83) for the derivation and validation cohorts, respectively. The model was well calibrated with a Hosmer-Lemeshow goodness-of-fit of 7.32 (p = 0.293). Conclusions: This study developed and internally validated a simple clinical risk score for prediction of respiratory complications following thoracic surgery. This score can be used to stratify high-risk patients, address modifiable risk factors for respiratory complications, and provide preventive strategies for improving postoperative outcomes. 2019-08-05T04:40:34Z 2019-08-05T04:40:34Z 2019-05-01 Journal 18165370 02184923 2-s2.0-85062936345 10.1177/0218492319835994 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062936345&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65758
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Medicine
spellingShingle Medicine
Tanyong Pipanmekaporn
Nutchanart Bunchungmongkol
Yodying Punjasawadwong
Worawut Lapisatepun
Apichat Tantraworasin
Surasak Saokaew
A risk score for predicting respiratory complications after thoracic surgery
description © The Author(s) 2019. Background: Respiratory complications are some of the most common complications following thoracic surgery and can lead to higher perioperative morbidity and mortality. The purpose of this study was to develop a simple clinical score for prediction of respiratory complications after thoracic surgery, and determine the internal validity. Methods: In this retrospective cohort study, all consecutive patients were aged 18 years and over and undergoing non-cardiac thoracic surgery at a tertiary-care university hospital. Respiratory complications included bronchospasm, atelectasis, pneumonia, respiratory failure, and adult respiratory distress syndrome within 30 days of surgery or before discharge. Results: A total of 1488 patients were included over a 7-year period, and 15.8% (235 of 1488 patients) developed respiratory complications. The significant predictors of respiratory complications were chronic obstructive pulmonary disease, American Society of Anesthesiologist physical status ≥ 3, right-sided surgery, duration of surgery longer than 180 min, preoperative arterial oxygen saturation on room air < 96%, and open thoracotomy. The area under receiving operating characteristic curve was 0.78 (95% confidence interval: 0.75–0.82) and 0.76 (95% confidence interval: 0.70–0.83) for the derivation and validation cohorts, respectively. The model was well calibrated with a Hosmer-Lemeshow goodness-of-fit of 7.32 (p = 0.293). Conclusions: This study developed and internally validated a simple clinical risk score for prediction of respiratory complications following thoracic surgery. This score can be used to stratify high-risk patients, address modifiable risk factors for respiratory complications, and provide preventive strategies for improving postoperative outcomes.
format Journal
author Tanyong Pipanmekaporn
Nutchanart Bunchungmongkol
Yodying Punjasawadwong
Worawut Lapisatepun
Apichat Tantraworasin
Surasak Saokaew
author_facet Tanyong Pipanmekaporn
Nutchanart Bunchungmongkol
Yodying Punjasawadwong
Worawut Lapisatepun
Apichat Tantraworasin
Surasak Saokaew
author_sort Tanyong Pipanmekaporn
title A risk score for predicting respiratory complications after thoracic surgery
title_short A risk score for predicting respiratory complications after thoracic surgery
title_full A risk score for predicting respiratory complications after thoracic surgery
title_fullStr A risk score for predicting respiratory complications after thoracic surgery
title_full_unstemmed A risk score for predicting respiratory complications after thoracic surgery
title_sort risk score for predicting respiratory complications after thoracic surgery
publishDate 2019
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062936345&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/65758
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