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Analysis of risk factors for hypoxemia in PACU for patients undergoing thoracoscopic lung cancer resection based on logistic regression model
BMC Anesthesiology volume 25, Article number: 174 (2025)
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.
Introduction
Lung cancer is the most prevalent malignant tumor worldwide, accounting for approximately 14% of all new cancer cases annually [1]. Surgery remains the primary treatment modality. With the rapid development of minimally invasive techniques, thoracoscopic lung surgery has become widely adopted due to its advantages, including reduced postoperative pain, minimal impact on lung function, fewer complications, quicker recovery, and shorter hospital stays [2]. However, despite these benefits, respiratory complications, particularly hypoxemia, remain common during the post-anesthesia care unit (PACU) recovery period and can significantly affect patient outcomes [3,4,5,6,7].
Hypoxemia, characterized by inadequate oxygen levels in the blood, is commonly defined by a peripheral oxygen saturation (SpO₂) ≤ 90% for more than one minute [8,9,10]. Causes of hypoxemia during recovery include surgical trauma, residual anesthetics, respiratory depression, and impaired ventilation-perfusion matching [11]. Hypoxemia not only delays recovery and extubation but also increases the risk of cardiovascular complications and postoperative morbidity and mortality [12]. Reported incidence rates of postoperative hypoxemia following thoracoscopic surgery range from 30% to over 35% [13,14,15].
Although several studies have explored risk factors for hypoxemia in broader surgical or ICU populations, there is a significant lack of research specifically focusing on hypoxemia in the PACU among patients undergoing thoracoscopic lung cancer surgery [16, 17]. This is a critical knowledge gap, as the PACU is a high-risk phase where early respiratory deterioration can develop rapidly and unpredictably. Currently, few studies offer clear evidence on perioperative predictors of hypoxemia in this specific population, limiting the ability of clinicians to identify at-risk patients and take preemptive action.
In light of this gap, the present study aims to analyze the perioperative risk factors associated with hypoxemia in the PACU following thoracoscopic lung cancer surgery, based on a prospective observational cohort. By identifying independent predictors through logistic regression modeling, we hope to assist clinicians in early risk assessment, optimize postoperative care, and develop tailored preventive strategies. Ultimately, this study seeks to enhance patient safety, reduce complications, and contribute practical clinical evidence to thoracic surgical and anesthetic practice.
Materials and methods
Study population
This prospective observational study received approval from the Ethical Committee of the West China Hospital of Sichuan University on 24 February 2024 (Approval No. 2024 − 611), and was registered with the Chinese Clinical Trial Registry (Registration No. ChiCTR2400083595, http://www.chictr.org.cn). We screened 398 patients who underwent thoracoscopic lung surgery under general anesthesia and were admitted to the PACU at West China Hospital between April and July 2024. Written informed consent was obtained from all participants before entering the trial, and the study adhered to the Declaration of Helsinki.
Inclusion criteria
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1.
Age ≥ 18 years.
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2.
Elective thoracoscopic lung surgery.
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3.
ASA classification I-III.
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4.
Postoperative admission to the PACU with endotracheal intubation (controlled ventilation).
Exclusion criteria
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1.
Preoperative hypoxemia.
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2.
Previous thoracoscopic surgery.
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3.
Contraindications to anesthesia-related medications.
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4.
Severe deterioration during recovery requiring ICU transfer.
Anesthesia, surgery, and recovery methods
Upon admission to the operating room, intravenous access was established, and routine monitoring (heart rate, blood pressure, oxygen saturation, respiratory rate) was initiated. For preoxygenation, patients received oxygen via a mask at a flow rate of 8–10 L/min for 3 min before anesthesia induction. Anesthesia induction involved administering intravenous propofol (1-2.5 mg/kg), sufentanil (0.1–0.5 µg/kg), cisatracurium (0.15 mg/kg), midazolam (1–2 mg), and penehyclidine hydrochloride (0.5-1 mg). Assisted ventilation was provided after loss of consciousness, and a double-lumen endotracheal tube was inserted with video guidance. Mechanical ventilation was initiated with pure oxygen, employing a respiratory rate of 12–16 breaths/min, tidal volume of 6–8 ml/kg, and an inspiratory to expiratory ratio of 1:2. One-lung ventilation commenced before surgery, with adjustments made as necessary. Following chest closure, bilateral lung ventilation was restored, and anesthesia was maintained with a continuous intravenous infusion of remifentanil (0.1–0.2 µg/kg/min) and inhalation of 1-2% sevoflurane.
Postoperatively, patients were transferred to the PACU while still intubated, with mechanical ventilation parameters consistent with those used during surgery. Extubation was carried out on reaching extubation criteria with patients fully conscious, having good spontaneous efforts. To prevent respiratory depression from residual neuromuscular blockade, intravenous neostigmine (0.02 mg/kg) and atropine (5–10 µg/kg) were administered before extubation. After extubation, patients received oxygen via face mask at 3–6 L/min for 15 min, and SpO2 was monitored. If SpO2 remained ≥ 92%, further observation occurred without oxygen supplementation; otherwise, oxygen therapy was continued.
Study methods
Clinical data collection and observation indicators
A clinical data collection form was developed to gather comprehensive patient information, including demographics (gender, age, height, weight, BMI, ASA classification), preoperative smoking and alcohol history, comorbidities (hypertension, diabetes, heart disease, hypothyroidism, hyperthyroidism), preoperative tests (pulmonary function tests: FEV1/FVC, Metabolic Equivalent of Task (MET) to evaluate exercise tolerance, hemoglobin levels), and surgery and anesthesia-related factors. These included surgical details (surgery type, surgical site and position, surgical duration, one-lung ventilation duration, intraoperative blood loss and fluid balance), anesthesia-related variables (anesthesia duration, ventilation mode, intraoperative administration of propofol, sufentanil, remifentanil, and cis-atracurium), vital signs (SpO2 upon entering OR before anesthesia induction, heart rate, respiratory rate), pain scores (VAS upon PACU admission and discharge, and immediate post-extubation pain), as well as PACU outcomes (duration of PACU stay, delayed awakening, nausea, vomiting, chills, agitation, catheterization time, and the incidence of hypoxemia). VAS upon PACU admission and discharg was assessed using a Visual Analog Scale (VAS) ranging from 0 (‘no pain’) to 10 (‘worst pain’) [18]. Patients marked their pain level on a 10 cm line immediately after extubation. Exercise tolerance was classified using Metabolic Equivalent of Task (MET) values: <3 MET (light activities), 3–6 MET (moderate activities), and >6 MET (vigorous activities) [19]. Patients self-reported daily activities via a standardized questionnaire, and responses were mapped to MET values from validated tables.
Data were collected via bedside interviews and the West China Hospital Information Management System and the Anesthesia and Surgery Clinical Information System, encompassing basic patient information, intraoperative conditions, anesthesia usage, and PACU recovery details. The surgery duration was defined as the interval from skin incision to closure, while anesthesia duration encompassed from the time propofol injection was initiated to the session of continuous infusion of remifentanil.
Hypoxemia assessment
Hypoxemia was defined according to established literature and clinical practice. In this study, hypoxemia was defined and used interchangeably with peripheral oxygen saturation (SpO₂), specifically referring to any instance of SpO₂ ≤90% lasting for more than one minute after endotracheal tube (ETT) removal during the PACU stay [20]. No arterial oxygen partial pressure (PaO₂) measurements were included in this definition due to routine invasive arterial puncture for blood pressure measurement and arterial blood gas analysis was not performed for all patients, this study defined hypoxemia based on peripheral oxygen saturation (SpO₂) since SpO₂ is also widely used for hypoxemia screening. All patients were immediately transported to the PACU after the cessation of anesthetic infusion in the operating room and received the recovery period in the PACU where perioperative management was provided by trained anesthesiologists and nurses following standardized PACU protocols.
Sample size calculation
Based on previous studies, the incidence of postoperative hypoxemia in patients undergoing thoracic surgery was estimated to be 30% [15]. With a margin of error (△) of 5%, the sample size was calculated as follows:
N={Uα/△}2×P(1-P)={1.96/0.05}2 × 0.3× (1-0.3) =323.
Considering a 15% loss to follow-up, the expected sample size was estimated at 371 patients:
323 × (1+15%)=371.
Statistical methods
Statistical analysis was performed using SPSS 26.0. Normally distributed data were expressed as mean ± standard deviation (SD) and compared between groups using an independent sample t-test. Non-normally distributed data were expressed as median (interquartile range) [M (Q1, Q3)] and compared using the non-parametric Mann-Whitney U test. Categorical variables were expressed as frequency and percentage (n, %), and comparisons between groups were conducted using Fisher’s exact test or χ² test. Variables with P < 0.05 in univariate analysis were included in a multivariate logistic regression analysis, and results were presented as odds ratios (OR) with 95% confidence intervals (CI).
Results
Figure 1 shows the flow diagram for research plan. A total of 525 patients were initially screened for this study, and 127 were excluded based on inclusion and exclusion criteria, resulting in 398 patients being included in the final statistical analysis. Among these, 149 patients (37.4%) developed hypoxemia during their stay in the PACU.
Univariate analysis demonstrated significant differences between the hypoxemia and non-hypoxemia groups in preoperative SpO₂ upon entering the operating room (OR) and immediate post-extubation pain. Preoperative SpO₂ upon entering the OR was significantly lower in the hypoxemia group compared to the non-hypoxemia group (97.00 [96.00, 98.00] vs. 98.00 [96.00, 99.00], p = 0.005), suggesting that lower baseline oxygenation is associated with an increased risk of developing postoperative hypoxemia. Immediate pain upon extubation was significantly higher in the hypoxemia group than in the non-hypoxemia group (2.00 [1.00, 2.00] vs. 1.00 [1.00, 2.00], p = 0.009), indicating that post-extubation discomfort may contribute to impaired respiratory effort and subsequent oxygen desaturation. Duration of PACU stay was notably longer in the hypoxemia group (80.0 [66.0, 98.0] minutes vs. 69.50 [58.0, 79.75] minutes, p < 0.001), highlighting the clinical impact of hypoxemia on postoperative recovery time.
Other intraoperative variables, including anesthesia duration, surgical duration, single-lung ventilation time, intraoperative fluid volume, intraoperative blood loss, and administered anesthetic agents (propofol, sufentanil, remifentanil, and cis-atracurium), did not show statistically significant differences between the two groups. Additionally, no significant differences were found in surgical position, ventilation mode, surgical site, or type of surgery, suggesting that procedural factors had minimal direct influence on the incidence of hypoxemia (refer to Tables 1 and 2).
To identify independent risk factors for hypoxemia, statistically significant variables from the univariate analysis were included in a multivariate logistic regression model. The logistic regression model demonstrated good fit, as indicated by the Hosmer-Lemeshow test (P = 0.743), and a Nagelkerke R² of 0.298, suggesting that the included predictors moderately explained the variation in postoperative hypoxemia. The results identified: Age (OR = 1.037, 95% CI: 1.015–1.059, p = 0.001), BMI (OR = 1.132, 95% CI: 1.041–1.230, p = 0.004), Duration of PACU stay (OR = 1.036, 95% CI: 1.022–1.049, p < 0.001), Immediate post-extubation pain (OR = 1.377, 95% CI: 1.115–1.700, p = 0.003), as independent risk factors for hypoxemia in the PACU following thoracoscopic lung surgery. Conversely, preoperative SpO₂ upon entering the operating room (OR = 0.882, 95% CI: 0.783–0.993, p = 0.038) indicated that higher baseline oxygen saturation levels were associated with a lower likelihood of postoperative hypoxemia (refer to Table 3).
Discussion
The incidence of hypoxemia in patients undergoing thoracoscopic lung surgery in the PACU was observed to be 37.4%, aligning closely with the 34% reported by Liu et al. for postoperative hypoxemia following similar procedures [20]. This finding underscores hypoxemia as a prevalent complication, posing challenges to recovery and increasing the workload in the PACU. Our analysis highlights that age, BMI, immediate post-extubation pain, and prolonged PACU stay independently contribute to the risk of hypoxemia, whereas higher preoperative SpO₂ serves as a protective factor.
Age emerged as a significant risk factor, corroborating prior studies [21]. With advancing age, patients experience systemic degenerative changes, diminished organ reserve, and reduced pulmonary compliance, all of which heighten susceptibility to hypoxemia during recovery [22]. Additionally, age-related comorbidities, such as hypertension and diabetes, further amplify this risk [23]. Strategies to address these risks include optimizing preoperative preparation, meticulous anesthetic management, and enhanced intraoperative monitoring. However, it is critical to consider that age alone does not dictate outcomes, emphasizing the multifactorial nature of postoperative recovery.
BMI was identified as another key risk factor for hypoxemia. Obesity impairs pulmonary mechanics by increasing airway resistance and decreasing lung compliance, thereby compromising gas exchange. Obese patients often present with comorbidities such as obstructive sleep apnea, exacerbating the risk. These findings align with the conclusions of Campos and Feider regarding perioperative respiratory risks in obese individuals [24,25,26]. Preoperative weight management and customized anesthetic plans are essential to mitigate these risks. Obesity is a well-documented risk factor for perioperative hypoxemia [27], and thus, preoperative weight control, comprehensive pulmonary function testing, and thorough risk assessments are critical for reducing the likelihood of PACU hypoxemia [28]. Postoperative management of obese patients should include enhanced monitoring of respiratory function and supplemental oxygen therapy to further minimize the risk of hypoxemia. Additionally, the use of muscle relaxants during anesthesia in obese patients can significantly reduce functional residual capacity and lung compliance, resulting in airway collapse and ventilation-perfusion mismatch, contributing to postoperative hypoxemia [29].
Immediate post-extubation pain significantly influenced hypoxemia risk, likely due to its adverse effects on effective ventilation and coughing, which are vital for maintaining oxygenation [30]. Pain-induced sympathetic activation may lead to tachycardia, hypertension, and additional stress on the cardiovascular system, which can further compromise cardiopulmonary function, as noted by Kehlet et al. [31]. Additionally, inadequate pain management can inhibit effective coughing, increasing the risk of atelectasis and pulmonary infections, which further contribute to hypoxemia [32]. Research shows that patients with well-managed postoperative pain are more likely to engage in early ambulation and deep breathing exercises, significantly reducing the risk of pulmonary complications [33]. While opioids are effective for pain relief, their potential to depress the respiratory center may exacerbate the risk of hypoxemia [34]. Conversely, insufficient pain control can lead to atelectasis and compromised pulmonary function, further increasing the likelihood of hypoxemia. Multimodal analgesia, incorporating regional techniques and nerve blocks, provides effective pain relief while minimizing the risk of respiratory depression [35]. A balanced approach is essential to ensure optimal pain management without exacerbating hypoxemia.
In this study, preoperative SpO₂ refers to peripheral oxygen saturation measured upon entering the operating room, rather than arterial blood gas parameters obtained at rest, such as PaO₂ or the alveolar-arterial oxygen gradient (PA–a gradient), which are standard indicators for assessing pulmonary reserve or oxygenation capacity. Although preoperative SpO₂ was statistically associated with a reduced risk of postoperative hypoxemia (OR < 1, P = 0.038), labeling it as a “protective factor” may be an oversimplification from a physiological and anesthetic standpoint. Instead, preoperative SpO₂ more likely reflects baseline pulmonary function, the presence of chronic hypoxic conditions (e.g., pulmonary disease or anemia), and may serve as a surrogate predictor of limited oxygenation reserve [36]. Therefore, although preoperative SpO₂ should not be interpreted as a direct protective factor, it may serve as a practical and accessible indicator for evaluating preoperative oxygenation status and predicting postoperative respiratory outcomes.
Although the duration of PACU stay was included in the multivariate logistic regression analysis and demonstrated a significant association with hypoxemia, it must be interpreted with caution. Given that PACU duration is recorded after the occurrence of hypoxemia, it may be better regarded as a consequence or marker of clinical deterioration rather than a true predisposing factor. Nevertheless, it was retained in the model to reflect the downstream clinical impact of hypoxemia and to capture the recovery burden [37]. Future prospective studies with time-sequenced variable collection are needed to clarify the temporal and causal relationship between PACU stay duration and hypoxemia.
The prolonged duration of PACU stay observed in the hypoxemia group suggests that hypoxemia extends the postoperative recovery period, potentially leading to increased healthcare resource utilization. Patients experiencing hypoxemia may require prolonged monitoring, additional oxygen therapy, or unplanned interventions, thereby increasing the burden on healthcare systems [38]. This highlights the need for early identification of at-risk patients and targeted interventions to minimize hypoxemia episodes, ultimately improving recovery efficiency and reducing resource consumption.
This study has several limitations that warrant discussion. First, the sample was derived from a single center, which may limit the generalizability of the findings to other populations or healthcare settings. Differences in surgical protocols, anesthesia practices, and patient demographics across institutions could influence the risk factors and incidence of hypoxemia in PACU settings. Second, although we identified several independent risk factors through logistic regression, residual confounding cannot be entirely ruled out. The observational nature of this study necessitates cautious interpretation, as external factors such as surgical techniques or perioperative practices may also influence results. In addition, unmeasured variables such as specific anesthetic techniques or variations in postoperative management may have impacted the outcomes but were not included in the analysis. Finally, this study was observational in design, which precludes establishing causal relationships between the identified risk factors and hypoxemia. Future studies incorporating randomized interventions targeting modifiable risk factors, such as BMI or immediate post-extubation pain, are needed to confirm these associations and inform clinical guidelines.
In conclusion, this study emphasizes the need for proactive measures to reduce hypoxemia incidence in the PACU following thoracoscopic lung surgery. Focused interventions targeting elderly and obese patients, coupled with effective pain management and careful monitoring of preoperative SpO₂, can significantly enhance recovery. The prolonged PACU stay associated with hypoxemia further underscores the clinical and economic burden of this complication. Future research should explore perioperative interventions aimed at reducing hypoxemia incidence and optimizing postoperative recovery in this patient population.
Data availability
All data that support the findings of this study are included within the article (and any supplementary files).
Abbreviations
- PACU:
-
The post-anesthetic care unit
- FEV1:
-
Forced Expiratory Volume at 1 s
- FVC:
-
Forced Vital Capacity
- SpO2:
-
Pulse Oximetry Oxygen Saturation
- PaO<:
-
Subscript>2</Subscript> Arterial oxygen partial pressure
- VAS:
-
Visual analog scale pain scores
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Acknowledgements
This study thanks the nursing care team in the post-operative anesthesia recovery room of West China Hospital of Sichuan University for data collection.
Funding
This work was supported by the Sichuan Province Science and Technology Program (2023YFS0136), NSF of China (No.82304648), Clinical & Translational Medicine (2023-I2M-C&T-B-121).
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Xi Luo: conducted the experiments, analyzed the data, and wrote the original draft. Yanmei Ying and Lu Yin: data collection, validation and data curation; Pan Chang: conceptualization, methodology, resources, supervision, writing – review & editing, funding acquisition. All authors reviewed the manuscript.
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Prior to the recruitment of participants, this study received approval from the Ethics Committee of West China Hospital, Sichuan University (2024 − 611), and was registered on the Chinese Clinical Trial Registry (ChiCTR2400083595). The study design strictly adhered to the declaration of Helsinki and the STROBE statement. All participants signed a written informed consent form before enrolment.
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Not Applicable.
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The authors declare no competing interests.
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Luo, X., Ying, Y., Yin, L. et al. Analysis of risk factors for hypoxemia in PACU for patients undergoing thoracoscopic lung cancer resection based on logistic regression model. BMC Anesthesiol 25, 174 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12871-025-03043-9
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DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12871-025-03043-9