Analysis of risk factors for hypoxemia in PACU for patients undergoing thoracoscopic lung cancer resection based on logistic regression model

Abstract Objective This study aims to identify risk factors of hypoxemia in patients undergoin thoracoscopic lung surgery during their stay in the post-anesthesia care unit (PACU). Hypoxemia was defined as any instance of SpO₂ ≤90% lasting for more than one minute during the PACU stay. Methods We co...

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Main Authors: Xi Luo, Yanmei Ying, Lu Yin, Pan Chang
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Anesthesiology
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Online Access:https://doi.org/10.1186/s12871-025-03043-9
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author Xi Luo
Yanmei Ying
Lu Yin
Pan Chang
author_facet Xi Luo
Yanmei Ying
Lu Yin
Pan Chang
author_sort Xi Luo
collection DOAJ
description Abstract Objective This study aims to identify risk factors of hypoxemia in patients undergoin thoracoscopic lung surgery during their stay in the post-anesthesia care unit (PACU). Hypoxemia was defined as any instance of SpO₂ ≤90% lasting for more than one minute during the PACU stay. Methods We conducted a prospective research involving 398 patients who underwent elective thoracoscopic lung surgery in West China Hospital, Sichuan University, from April to July 2024. Patients were classified into hypoxemia and non-hypoxemia groups based on the presence of hypoxemia in the PACU. We compared clinical data between the two groups to identify factors influencing hypoxemia. Variables with statistical significance (P < 0.05) in univariate analysis were included in logistic regression to identify independent risk factors for hypoxemia. Results Among the 398 patients studied, 149 (37.4%) experienced hypoxemia. Univariate analysis indicated significant differences in age, BMI, height, ASA classification, hypertension, diabetes, lung function test with Forced Expiratory Volume at 1 s / Forced Vital Capacity (FEV1/FVC), and awakening time between the groups. Logistic regression revealed that age, BMI, ASA classification, hypertension, diabetes, and awakening time were independent risk factors for hypoxemia during anesthesia recovery, while preoperative SpO2 upon entering operating room (OR = 0.882, 95% CI: 0.783–0.993, P = 0.038) was identified as a protective factor. Conclusion Age, BMI, ASA classification, and preoperative conditions such as hypertension and diabetes are found to contribute to an increased incidence of hypoxemia in PACU following thoracoscopic lung surgery. Emphasizing preoperative lung function assessments and enhanced monitoring may also facilitate timely interventions, thereby improving post-anesthesia recovery and patient outcomes.
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spelling doaj-art-368c455db6404cb8bb8aad152f2015bb2025-08-20T02:17:02ZengBMCBMC Anesthesiology1471-22532025-04-012511910.1186/s12871-025-03043-9Analysis of risk factors for hypoxemia in PACU for patients undergoing thoracoscopic lung cancer resection based on logistic regression modelXi Luo0Yanmei Ying1Lu Yin2Pan Chang3Department of Anesthesiology, West China Hospital, Sichuan University, West China School of Nursing, Sichuan UniversityDepartment of Anesthesiology, West China Hospital, Sichuan University, West China School of Nursing, Sichuan UniversityDepartment of Anesthesiology, West China Hospital, Sichuan University, West China School of Nursing, Sichuan UniversityDepartment of Anesthesiology, West China Hospital, Sichuan universityAbstract Objective This study aims to identify risk factors of hypoxemia in patients undergoin thoracoscopic lung surgery during their stay in the post-anesthesia care unit (PACU). Hypoxemia was defined as any instance of SpO₂ ≤90% lasting for more than one minute during the PACU stay. Methods We conducted a prospective research involving 398 patients who underwent elective thoracoscopic lung surgery in West China Hospital, Sichuan University, from April to July 2024. Patients were classified into hypoxemia and non-hypoxemia groups based on the presence of hypoxemia in the PACU. We compared clinical data between the two groups to identify factors influencing hypoxemia. Variables with statistical significance (P < 0.05) in univariate analysis were included in logistic regression to identify independent risk factors for hypoxemia. Results Among the 398 patients studied, 149 (37.4%) experienced hypoxemia. Univariate analysis indicated significant differences in age, BMI, height, ASA classification, hypertension, diabetes, lung function test with Forced Expiratory Volume at 1 s / Forced Vital Capacity (FEV1/FVC), and awakening time between the groups. Logistic regression revealed that age, BMI, ASA classification, hypertension, diabetes, and awakening time were independent risk factors for hypoxemia during anesthesia recovery, while preoperative SpO2 upon entering operating room (OR = 0.882, 95% CI: 0.783–0.993, P = 0.038) was identified as a protective factor. Conclusion Age, BMI, ASA classification, and preoperative conditions such as hypertension and diabetes are found to contribute to an increased incidence of hypoxemia in PACU following thoracoscopic lung surgery. Emphasizing preoperative lung function assessments and enhanced monitoring may also facilitate timely interventions, thereby improving post-anesthesia recovery and patient outcomes.https://doi.org/10.1186/s12871-025-03043-9HypoxemiaPACUThoracoscopic lung surgeryLogistic regressionPostoperative recoverySpO₂
spellingShingle Xi Luo
Yanmei Ying
Lu Yin
Pan Chang
Analysis of risk factors for hypoxemia in PACU for patients undergoing thoracoscopic lung cancer resection based on logistic regression model
BMC Anesthesiology
Hypoxemia
PACU
Thoracoscopic lung surgery
Logistic regression
Postoperative recovery
SpO₂
title Analysis of risk factors for hypoxemia in PACU for patients undergoing thoracoscopic lung cancer resection based on logistic regression model
title_full Analysis of risk factors for hypoxemia in PACU for patients undergoing thoracoscopic lung cancer resection based on logistic regression model
title_fullStr Analysis of risk factors for hypoxemia in PACU for patients undergoing thoracoscopic lung cancer resection based on logistic regression model
title_full_unstemmed Analysis of risk factors for hypoxemia in PACU for patients undergoing thoracoscopic lung cancer resection based on logistic regression model
title_short Analysis of risk factors for hypoxemia in PACU for patients undergoing thoracoscopic lung cancer resection based on logistic regression model
title_sort analysis of risk factors for hypoxemia in pacu for patients undergoing thoracoscopic lung cancer resection based on logistic regression model
topic Hypoxemia
PACU
Thoracoscopic lung surgery
Logistic regression
Postoperative recovery
SpO₂
url https://doi.org/10.1186/s12871-025-03043-9
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