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The value of preoperative spirometry testing for predicting postoperative risk in upper abdominal and thoracic surgery assessed using big-data analysis

BACKGROUND: Spirometry is used to evaluate postoperative outcomes in thoracic surgery. However, the clinical utility of spirometry for predicting postoperative complications has not been determined. We used big-data analysis to examine the relationship between pulmonary function tests and postoperat...

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Autores principales: Park, Hyung Jun, Kim, Sung min, Kim, Hong Rae, Ji, Wonjun, Choi, Chang-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475606/
https://www.ncbi.nlm.nih.gov/pubmed/32944327
http://dx.doi.org/10.21037/jtd-19-2687
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author Park, Hyung Jun
Kim, Sung min
Kim, Hong Rae
Ji, Wonjun
Choi, Chang-Min
author_facet Park, Hyung Jun
Kim, Sung min
Kim, Hong Rae
Ji, Wonjun
Choi, Chang-Min
author_sort Park, Hyung Jun
collection PubMed
description BACKGROUND: Spirometry is used to evaluate postoperative outcomes in thoracic surgery. However, the clinical utility of spirometry for predicting postoperative complications has not been determined. We used big-data analysis to examine the relationship between pulmonary function tests and postoperative complications. METHODS: We retrospectively analysed clinical data from 31,827 patients who underwent spirometry within the 3 months prior to their surgery between January 2000 and December 2014 at a single tertiary referral hospital. The data were extracted in de-identified form via the automated clinical research information system. Surgical procedures included thoracic and upper abdominal surgery. RESULTS: Multivariable logistic regression analysis showed that type of surgery, older age (>65 years), low albumin and smoking were associated with postoperative infections [95% confidence interval (CI) of the odds ratio (OR) 1.27–1.60 (>65 years); 1.52–1.96 (low albumin); 1.40–1.98 (current smoker)]. Notably, lower forced vital capacity (FVC) was an independent risk factor for postoperative infection, prolonged intensive care unit stay, and in-hospital death, regardless of airflow limitation [OR 95% CI: 1.31–1.69 (FVC 50–80%); 2.02–4.24 (FVC <50%)]. Lower forced expiratory volume in 1 sec (FEV(1)) was also an independent risk factor for postoperative infection [OR 95% CI: 1.61–2.26 (FEV(1) 50–80%); 2.27–4.21 (FEV(1) <50%)]. Airflow limitation assessed by FEV(1) was negatively correlated with postoperative infection in multivariable analysis (OR 95% CI: 0.51–0.88). CONCLUSIONS: Lower preoperative FVC could be used to predict postoperative infection and complications in thoracic and upper abdominal surgery regardless of airflow limitation.
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spelling pubmed-74756062020-09-16 The value of preoperative spirometry testing for predicting postoperative risk in upper abdominal and thoracic surgery assessed using big-data analysis Park, Hyung Jun Kim, Sung min Kim, Hong Rae Ji, Wonjun Choi, Chang-Min J Thorac Dis Original Article BACKGROUND: Spirometry is used to evaluate postoperative outcomes in thoracic surgery. However, the clinical utility of spirometry for predicting postoperative complications has not been determined. We used big-data analysis to examine the relationship between pulmonary function tests and postoperative complications. METHODS: We retrospectively analysed clinical data from 31,827 patients who underwent spirometry within the 3 months prior to their surgery between January 2000 and December 2014 at a single tertiary referral hospital. The data were extracted in de-identified form via the automated clinical research information system. Surgical procedures included thoracic and upper abdominal surgery. RESULTS: Multivariable logistic regression analysis showed that type of surgery, older age (>65 years), low albumin and smoking were associated with postoperative infections [95% confidence interval (CI) of the odds ratio (OR) 1.27–1.60 (>65 years); 1.52–1.96 (low albumin); 1.40–1.98 (current smoker)]. Notably, lower forced vital capacity (FVC) was an independent risk factor for postoperative infection, prolonged intensive care unit stay, and in-hospital death, regardless of airflow limitation [OR 95% CI: 1.31–1.69 (FVC 50–80%); 2.02–4.24 (FVC <50%)]. Lower forced expiratory volume in 1 sec (FEV(1)) was also an independent risk factor for postoperative infection [OR 95% CI: 1.61–2.26 (FEV(1) 50–80%); 2.27–4.21 (FEV(1) <50%)]. Airflow limitation assessed by FEV(1) was negatively correlated with postoperative infection in multivariable analysis (OR 95% CI: 0.51–0.88). CONCLUSIONS: Lower preoperative FVC could be used to predict postoperative infection and complications in thoracic and upper abdominal surgery regardless of airflow limitation. AME Publishing Company 2020-08 /pmc/articles/PMC7475606/ /pubmed/32944327 http://dx.doi.org/10.21037/jtd-19-2687 Text en 2020 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Park, Hyung Jun
Kim, Sung min
Kim, Hong Rae
Ji, Wonjun
Choi, Chang-Min
The value of preoperative spirometry testing for predicting postoperative risk in upper abdominal and thoracic surgery assessed using big-data analysis
title The value of preoperative spirometry testing for predicting postoperative risk in upper abdominal and thoracic surgery assessed using big-data analysis
title_full The value of preoperative spirometry testing for predicting postoperative risk in upper abdominal and thoracic surgery assessed using big-data analysis
title_fullStr The value of preoperative spirometry testing for predicting postoperative risk in upper abdominal and thoracic surgery assessed using big-data analysis
title_full_unstemmed The value of preoperative spirometry testing for predicting postoperative risk in upper abdominal and thoracic surgery assessed using big-data analysis
title_short The value of preoperative spirometry testing for predicting postoperative risk in upper abdominal and thoracic surgery assessed using big-data analysis
title_sort value of preoperative spirometry testing for predicting postoperative risk in upper abdominal and thoracic surgery assessed using big-data analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475606/
https://www.ncbi.nlm.nih.gov/pubmed/32944327
http://dx.doi.org/10.21037/jtd-19-2687
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