Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Predicting arterial oxygenation during one-lung anaesthesia.

P Slinger1, S Suissa, W Triolet

  • 1Department of Anaesthesia, McGill University, Montreal, Quebec, Canada.

Canadian Journal of Anaesthesia = Journal Canadien D'Anesthesie
|December 1, 1992
PubMed
Summary

Predicting arterial oxygenation during one-lung anesthesia (OLA) is challenging. However, a predictive equation using preoperative FEV1% and intraoperative two-lung ventilation PaO2 can identify patients at risk for low oxygen levels during OLA.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hypoxaemia during one lung ventilation.

BJA education·2023
Same author

Pioglitazone and bladder cancer: improving research methods.

Diabetic medicine : a journal of the British Diabetic Association·2020
Same author

A systematic review of observational studies of the association between pioglitazone use and bladder cancer.

Diabetic medicine : a journal of the British Diabetic Association·2018
Same author

Drospirenone-containing oral contraceptive pills and the risk of venous thromboembolism: a systematic review of observational studies.

BJOG : an international journal of obstetrics and gynaecology·2017
Same author

Cardiotoxicity of aromatase inhibitors and tamoxifen in postmenopausal women with breast cancer: a systematic review and meta-analysis of randomized controlled trials.

Annals of oncology : official journal of the European Society for Medical Oncology·2016
Same author

Drospirenone-containing combined oral contraceptives and the risk of arterial thrombosis: a population-based nested case-control study.

BJOG : an international journal of obstetrics and gynaecology·2016

Area of Science:

  • Anesthesiology
  • Thoracic Surgery
  • Respiratory Physiology

Background:

  • One-lung anesthesia (OLA) is crucial for thoracic surgery but can lead to significant arterial oxygen desaturation.
  • Predicting oxygenation during OLA is essential for patient safety and anesthetic management.

Purpose of the Study:

  • To develop and validate a predictive model for arterial oxygen tension (PaO2) during OLA in patients undergoing elective thoracotomy.
  • To identify preoperative and intraoperative factors that influence PaO2 during OLA.

Main Methods:

  • Retrospective analysis of 50 patients to develop a multiple linear regression model for PaO2 prediction.
  • Prospective validation of the predictive equation in 30 additional patients.
  • Key predictors evaluated included age, side of operation, preoperative FEV1%, and PaO2 during two-lung ventilation.

Related Experiment Videos

Main Results:

  • The predictive equation for PaO2 during OLA was: PaO2 = 100 - 72 (side) - 1.86 (FEV1%) + 0.75 (two-lung) PaO2.
  • Significant predictors for PaO2 during OLA were: side of operation (P < 0.05), preoperative FEV1% (P < 0.01), and intraoperative PaO2 during two-lung ventilation (P = 0.0001).
  • Prospective validation showed a significant correlation (r = 0.73, P < 0.01) between predicted and observed PaO2.
  • Four patients with predicted PaO2 < 150 mmHg required OLA abandonment due to desaturation.

Conclusions:

  • While precise individual PaO2 prediction during OLA is not feasible, a model can identify patients likely to experience significant oxygen desaturation.
  • Preoperative FEV1% and intraoperative two-lung ventilation PaO2 are valuable predictors for identifying patients at risk during OLA.
  • This predictive capability allows for proactive anesthetic management to mitigate risks associated with OLA.