Comparison of Continuous Serratus Anterior Plane Block (cSAPB) with Bupivacaine Versus Single Liposomal Bupivacaine Block in Postoperative Analgesia after Video-Assisted Thoracoscopic Surgery (VATS) : A Randomised Controlled Trial

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Abstract Background Video-Assisted Thoracoscopic Surgery (VATS) is a commonly used minimally invasive technique in thoracic surgery. The continuous serratus anterior plane block (cSAPB) involves the placement of a catheter deep in the serratus anterior fascia for the slow and continuous infusion of local anesthetics. Liposomal bupivacaine is a formulation of bupivacaine encapsulated in liposomes, which prolongs the release of the drug. This study compares the impact of cSAPB with bupivacaine and single-shot SAPB with liposomal bupivacaine on postoperative recovery quality and pain control after VATS. Methods Patients were randomly assigned to two groups: one receiving cSAPB with conventional bupivacaine (cSAPB + CB) and the other receiving SAPB with liposomal bupivacaine (SAPB + LB). The primary outcome measure was the Quality of Recovery (QoR-15) scores at 24 and 48 hours post-surgery. Secondary outcomes included: pain intensity assessed using the Visual Analog Scale (VAS) pain scale at rest and during deep breathing at 24 and 48 hours postoperatively, postoperative pulmonary function, total opioid consumption during and after surgery, and adverse events. Results QoR-15 scores were significantly elevated in the SAPB + LB group at both 24 and 48 hours post-surgery(24h: p = 0.001; 48h: p = 0.02). Comparative analysis revealed no statistically significant differences between the SAPB + CB group and the SAPB + LB group in terms of VAS scores for pain at rest at 24 and 48 hours (24h: p = 0.06; 48h: p = 0.46), or during deep breathing (24h: p = 0.45; 48h: p = 0.73). Additionally, there were no significant differences in lung function tests (FEV1/FVC ratio, p = 0.95), total intraoperative opioid consumption (p = 0.76), or total postoperative opioid consumption (p = 0.69). However, the incidence of local complications such as swelling and pain was significantly reduced in the SAPB + LB group (p = 0.03). Conclusions The use of single liposomal bupivacaine serratus anterior plane block provides superior early postoperative recovery quality and reduces the incidence of local complications. Trial registration Chinese Clinical Trial Registry, identifier ChiCTR2100054089, June 28,2024.
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Comparison of Continuous Serratus Anterior Plane Block (cSAPB) with Bupivacaine Versus Single Liposomal Bupivacaine Block in Postoperative Analgesia after Video-Assisted Thoracoscopic Surgery (VATS) : A Randomised Controlled Trial | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Comparison of Continuous Serratus Anterior Plane Block (cSAPB) with Bupivacaine Versus Single Liposomal Bupivacaine Block in Postoperative Analgesia after Video-Assisted Thoracoscopic Surgery (VATS) : A Randomised Controlled Trial Mingyue Zhang, Zhuo Zheng, Xianfeng Xie, Yuee Dai, Maosen Zhao, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5458521/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract Background Video-Assisted Thoracoscopic Surgery (VATS) is a commonly used minimally invasive technique in thoracic surgery. The continuous serratus anterior plane block (cSAPB) involves the placement of a catheter deep in the serratus anterior fascia for the slow and continuous infusion of local anesthetics. Liposomal bupivacaine is a formulation of bupivacaine encapsulated in liposomes, which prolongs the release of the drug. This study compares the impact of cSAPB with bupivacaine and single-shot SAPB with liposomal bupivacaine on postoperative recovery quality and pain control after VATS. Methods Patients were randomly assigned to two groups: one receiving cSAPB with conventional bupivacaine (cSAPB + CB) and the other receiving SAPB with liposomal bupivacaine (SAPB + LB). The primary outcome measure was the Quality of Recovery (QoR-15) scores at 24 and 48 hours post-surgery. Secondary outcomes included: pain intensity assessed using the Visual Analog Scale (VAS) pain scale at rest and during deep breathing at 24 and 48 hours postoperatively, postoperative pulmonary function, total opioid consumption during and after surgery, and adverse events. Results QoR-15 scores were significantly elevated in the SAPB + LB group at both 24 and 48 hours post-surgery(24h: p = 0.001; 48h: p = 0.02). Comparative analysis revealed no statistically significant differences between the SAPB + CB group and the SAPB + LB group in terms of VAS scores for pain at rest at 24 and 48 hours (24h: p = 0.06; 48h: p = 0.46), or during deep breathing (24h: p = 0.45; 48h: p = 0.73). Additionally, there were no significant differences in lung function tests (FEV1/FVC ratio, p = 0.95), total intraoperative opioid consumption (p = 0.76), or total postoperative opioid consumption (p = 0.69). However, the incidence of local complications such as swelling and pain was significantly reduced in the SAPB + LB group (p = 0.03). Conclusions The use of single liposomal bupivacaine serratus anterior plane block provides superior early postoperative recovery quality and reduces the incidence of local complications. Trial registration Chinese Clinical Trial Registry, identifier ChiCTR2100054089, June 28,2024. Continuous Serratus Anterior Plane Block Liposomal Bupivacaine Video-Assisted Thoracoscopic Surgery Pain Figures Figure 1 Figure 2 1. Background Video-assisted thoracic surgery (VATS) is a surgical technique performed within the thoracic cavity that utilizes video cameras and specialized instruments to operate through several small incisions, instead of traditional large open surgery[ 1 ]. With continuous technological advancements and improvements in medical devices, the application scope of VATS in thoracic surgery has significantly expanded. The progress of VATS in thoracic medicine enables an increasing number of patients to benefit from surgeries with smaller incisions, faster recovery, and fewer complications, and it offers more options for the treatment of pulmonary and thoracic disorders[ 2 , 3 ]. Although the implementation of VATS has greatly reduced postoperative pain, managing pain after VATS still presents multiple challenges. Thoracotomy, the surgery involving chest opening, is among the procedures with the most intense incisional pain[ 4 ]. Inadequate pain management can lead to a range of complications, reducing patient satisfaction and quality of recovery, and result in prolonged hospital stay and increased healthcare costs[ 5 , 6 ]. Effective pain management strategies can prevent these outcomes and improve pulmonary function after thoracic surgeries. The management of postoperative pain subsequent to VATS encompasses a myriad of methodologies[ 5 , 7 ]. These include systemic pharmacologic analgesia, which incorporates α 2 adrenergic agonists, opioid analgesics, nonsteroidal anti-inflammatory drugs or cyclooxygenase-2 specific inhibitors, glucocorticoids, and gabapentinoids[ 5 ]. Non-pharmacologic interventions comprise transcutaneous electrical nerve stimulation therapy and cryoanalgesia[ 8 ]. Techniques for local analgesia include paravertebral nerve block, erector spinae plane block, serratus anterior plane block (SAPB), thoracic epidural analgesia, intercostal nerve block, and infiltration anesthesia at the surgical site[ 9 – 11 ]. The serratus plane block, a relatively innovative local anesthetic technique, is executed by administering an ultrasound-guided injection of local anesthetics into the fascial plane, facilitating their diffusion across the serratus anterior muscle, and achieving analgesia by obstructing the lateral cutaneous branches of the intercostal nerves that traverse this plane[ 9 , 12 ]. The ultrasound-guided SAPB is characterized by its safety and ease of execution, and it does not adversely affect the patient's cognitive or cardiorespiratory status. This method considerably reduces the risk of pleural, spinal cord, or nerve root injuries typically associated with paravertebral blocks and thoracic epidural analgesia[ 13 ]. By strategically placing a catheter within the deep fascial layer of the serratus anterior and administering a slow infusion of local anesthetics, a continuous serratus plane nerve blockade is established, thereby extending the efficacy period of local analgesia[ 14 ]. Bupivacaine, a member of the amide class of local anesthetics, exerts its pharmacological effects by binding to specific receptors on the neuronal membrane, subsequently inhibiting sodium ion channels[ 15 ]. This inhibition elevates the threshold for the generation of nerve action potentials, alters neuronal membrane depolarization, and suppresses both the generation and propagation of action potentials, thereby facilitating its anesthetic function. The pharmacodynamic duration of bupivacaine spans approximately 4–6 hours, making it extensively utilized for analgesia following surgical procedures. However, pharmacotoxicological risks associated with bupivacaine include potential central nervous system and cardiac toxicities when administered in excessive quantities. The development of sustained-release formulations of local anesthetics enhances both the duration and efficacy of analgesia while concurrently mitigating risks associated with central nervous system and cardiac toxicities, thus reducing the likelihood of adverse effects consequent to high dosage administration. Liposomes are nanoscale vesicles encapsulated by one or more lipid bilayers, predominantly constituted of phospholipids and cholesterol[ 16 ]. These vesicles adopt micellar configurations in aqueous media and possess the capability to transport both hydrophilic and lipophilic pharmacological agents[ 17 ]. Bupivacaine, when incorporated into liposomal formulations, benefits from a controlled release mechanism afforded by these lipidic enclosures. This modulation in drug release kinetics significantly prolongs the residence time of bupivacaine in localized tissue environments[ 18 ]. Therefore, compared to conventional bupivacaine formulations, liposomal bupivacaine demonstrates an extended pharmacological activity duration. Furthermore, the stabilization of bupivacaine concentrations within tissues through liposomal encapsulation mitigates the cytotoxicity and adverse pharmacological responses, thereby enhancing therapeutic safety and efficacy. It is currently unknown whether single administration of liposomal bupivacaine for serratus anterior plane block provides better postoperative recovery quality and longer analgesia duration than continuous serratus anterior plane block utilizing conventional bupivacaine. Therefore, this study aims to compare the effects of these two analgesic methods, combined with patient-controlled intravenous analgesia (PCIA), on postoperative recovery quality after VATS. 2. Methods 2.1 Ethics This study was conducted following the evaluation and approval of the Ethics Committee of the Second People's Hospital of Chengdu (Chairperson Prof Ruoxi Zhang) on 31 May 2024, with the specified study period being (Ethics Approval Number: 2024335). This study was registered at ClinicalTrials.gov (ChiCTR2400086348) and adheres to the applicable Equator guidelines. 2.2 Inclusion criteria Eligible participants must meet all the following criteria to be considered for inclusion in this study: Demonstrated comprehensive understanding of the study's objectives, nature, methodologies, and potential adverse outcomes, coupled with voluntary participation and the provision of a signed informed consent document; scheduled to undergo unilateral thoracoscopic thoracic surgical procedures, such as lobectomy, wedge resection, or segmentectomy, under general anesthesia within the timeframe of July 2024 to October 2024, with an anticipated operative duration ranging from 1 to 3 hours and a projected cumulative incision length of no less than 6 centimeters; assigned a classification of Class I or II by the American Society of Anesthesiologists (ASA); aged inclusively between 18 and 65 years, regardless of gender; maintaining a Body Mass Index (BMI) between 18 and 30 kg/m 2 , with male participants weighing at least 50 kg and female participants at least 45 kg; exhibiting the ability to communicate effectively with the research team, understand the trial’s demands, and proficiently use the VAS for pain measurement. 2.3 Exclusion criteria Participants presenting with any of the criteria listed below shall be excluded from the study: documented hypersensitivity or contraindications to amide-type local anesthetics such as bupivacaine, or to any components of liposomal bupivacaine; presence of infection at the proposed injection site or systemic infection; significant coagulopathies; history of opioid misuse; presence of persistent pain conditions; cognitive dysfunction; severe comorbid conditions involving the cardiovascular, hepatic, renal, respiratory, hematological, lymphatic, endocrine, immunological, neurological, or gastrointestinal systems; presence of any of the following conditions within one year prior to the commencement of the study: heart failure (classified as NYHA Class III or IV), angina pectoris, a history of myocardial infarction, pulmonary heart disease, severe cardiac arrhythmias, uncontrolled asthma with one or more acute episodes per week, history of coronary artery bypass grafting; previous thoracic surgery on the same side and/or any concurrent surgical procedures planned during the study period, such as bilateral thoracoscopy; history of chronic pain or continuous pain management prior to surgery. 2.4 General anesthesia Upon admission to the procedure room, standard cardiopulmonary monitoring is initiated, encompassing electrocardiography, transcutaneous oxygen saturation, and non-invasive arterial pressure measurements. A radial artery catheter is placed under local anesthesia and connected to a pressure transducer to facilitate continuous arterial pressure monitoring. Anesthetic induction involves the administration of the following pharmacological agents: midazolam at a dose range of 0.02–0.05 mg/kg; penehyclidine between 0.005–0.01 mg/kg; propofol at 2 mg/kg; sufentanil at 0.5 µg/kg; and rocuronium at 0.6–0.8 mg/kg, all administered intravenously as bolus injections. Subsequent to the induction phase, optimal preoxygenation and denitrogenation procedures are conducted prior to intubation using a double-lumen left Robertshaw tube for bronchial intubation, verified via fiberoptic bronchoscopy. Lung isolation is achieved by selecting unilateral ventilation for either the left or right lung, depending on the surgical site. Ventilatory management employs a pressure-controlled mode, with settings adjusted to maintain a tidal volume of 5–6 ml/kg, an inhalation to exhalation ratio of 1:2, a positive end-expiratory pressure (PEEP) of 5 cm H 2 O, and an inspired oxygen fraction (FiO 2 ) of 100%. Adjustments to the respiratory rate are made based on the end-tidal carbon dioxide (ETCO 2 ) levels, aiming to keep ETCO 2 within the range of 35–45 mmHg. Anesthesia is maintained using a combination of sevoflurane, propofol, remifentanil, and rocuronium, with sevoflurane concentrations maintained at 1.5%. Propofol dosing is dynamically adjusted in response to the Bispectral Index (BIS) values, maintaining BIS between 40–60, with dosages ranging from 4 to 6 mg/kg/h. The administration of remifentanil is tailored to intraoperative hemodynamics, with dosages adjusted between 0.1 to 0.3 µg/kg/min to maintain mean arterial pressure within 20% of the baseline value. Rocuronium is administered intermittently as clinically indicated. Upon completion of the surgical intervention, neuromuscular blockade reversal is achieved through the intravenous administration of neostigmine (0.04 mg/kg) and atropine (0.02 mg/kg). Following stabilization of vital signs and confirmation of readiness for extubation, the tracheal tube is removed. The patient is then monitored in the Post Anesthesia Care Unit (PACU) for 45 minutes before being transferred to the general ward. 2.5 Pain management Upon the completion of anesthesia induction and tracheal intubation, and following the positioning of the patient for surgery, ultrasound-guided SAPB is performed by an experienced anesthesiologist, either as a single-shot or continuous technique based on the allocated group. Utilizing a superficial linear ultrasound probe, scanning begins at the mid-clavicular line and progresses sagittally downwards and laterally until reaching the axillary midline at the level of the fourth or fifth rib to determine the puncture site. Following aseptic preparation, an 18-G, 80 mm nerve block needle is guided by ultrasound through the latissimus dorsi muscle to reach the deep plane of the serratus anterior muscle. Before initiating the continuous block, a negative pressure aspiration through the needle is performed to ensure no blood return, followed by the injection of 5 ml of saline to confirm the needle tip's placement within the fascial layer and facilitate the expansion of the fascial space between the deep planes of the serratus anterior muscle, aiding in the insertion of a continuous nerve block catheter (20 G, 1000 mm, Contiplex D, 4895819NCN, Melsungen, Germany). After administering 10 ml of bupivacaine, the catheter is positioned 4.5 cm within the deep fascial plane of the serratus anterior muscle under ultrasound guidance[ 19 ] (Figure.1). For patients receiving a single-shot serratus anterior plane block, after confirming the needle tip's position via the aforementioned steps, 10 ml of 1.33% liposomal bupivacaine is injected through the nerve block needle. Ultrasound scanning confirms the adequate distribution of the local anesthetic within the fascial plane between the serratus anterior and external intercostal muscles. For patients undergoing continuous serratus anterior plane block, a patient-controlled analgesia (PCA) pump is connected to the continuous nerve block catheter postoperatively to administer 0.25% bupivacaine at a basal rate of 5 ml/h. The continuous infusion of bupivacaine is maintained for 48 hours before the catheter is removed. All participants enrolled in the study receive patient-controlled intravenous analgesia, with the PCA pump prepared with 50 µg of sufentanil and 20 mg of metoclopramide in 100 ml. The basal rate of the PCA is set at 0.06 mg/kg/h, with the patient-controlled dose set at 0.06 mg/kg per demand, and a lockout interval of 15 minutes. For patients experiencing severe pain upon returning to the general ward postoperatively, an intramuscular injection of 10 mg of pethidine is administered by a surgical physician for pain relief. 2.6 Randomization Participants enrolled in the study were randomly assigned in a 1:1 ratio to either the cSAPB with bupivacaine group or the SAPB with liposomal bupivacaine group. Each participant was allocated a unique identifier initially. Subsequently, an equal division of participants into two groups was facilitated through a computer-generated random sequence module. The first group was designated as "cSAPB + CB" (continuous SAPB with conventional bupivacaine), and the second group was termed "SAPB + LB" (single-shot SAPB with liposomal bupivacaine). 2.7 Outcome measures The primary outcome measure of this study is a comparative analysis of scores from the QoR-15 questionnaire at 24 and 48 hours postoperatively. The QoR-15 is an established scale that quantitatively assesses the quality of recovery across multiple dimensions in postoperative patients. This succinct and pragmatic instrument evaluates the recovery across physiological, psychological, and social domains of a patient's post-surgical state[ 20 ]. Comprising 15 items, it explores various domains of postoperative recovery including patient comfort, mobility, emotional well-being, nutrition, and sleep quality. Each item is scored on a Likert scale ranging from 0 to 10, where 0 represents the poorest conceivable condition and 10 denotes optimal recovery, with aggregate higher scores indicative of enhanced recovery outcomes. The QoR-15 is administered to the patients 24 and 48 hours postoperatively, who are expected to independently complete the questionnaire in their respective wards. Secondary outcomes include evaluations of pain using the VAS at 24 and 48 hours post-surgery. The VAS is a standardized tool utilized for the quantification of pain intensity. It features a linear scale, typically 10 centimeters in length, labeled at one end as 'no pain' and at the other as 'the most severe pain imaginable' or 'unbearable pain.' Patients are instructed to mark their perceived level of pain on this scale, and the position marked is subsequently converted into a numerical value to objectively measure the intensity of pain. VAS assessments are conducted at the specified postoperative intervals with patients indicating their pain levels on the scale, and the positions marked are recorded in centimeters. Further secondary outcomes encompass assessments of pulmonary function through spirometry. The pulmonary function tests are performed using a digital spirometer (Spirobank II, Rome, Italy), both preoperatively and 48 hours following surgery. The primary pulmonary metrics assessed are the Forced Expiratory Volume in one second (FEV1) and Forced Vital Capacity (FVC), with the ratio of FEV1/FVC serving as a critical indicator of pulmonary function. The analysis of postoperative changes in FEV1/FVC ratio serves as a measure for evaluating the recovery of pulmonary function post-surgery. An unchanged or improved FEV1/FVC ratio postoperatively suggests satisfactory pulmonary recovery, whereas a decline may indicate adverse surgical impacts on pulmonary function[ 14 ]. Additional secondary outcomes measured include the total amount of opioids administered intraoperatively and postoperatively, as well as the incidence of adverse events. 2.8 Data analysis Data were analyzed using Graph Pad Prism version 8 (GraphPad, Salt Lake City, UT, USA). The required sample size for this study was calculated based on the primary outcome measures. The primary outcome was the QoR-15 score at 24 h postoperatively. The minimum clinically important difference (MCID) for the QoR-15 scale was set at 8.0. Moreover, the standard deviation (SD) of QoR-15 scores following major surgery is approximately 16, with scores ranging from 1 to 150. Therefore, assuming a Type I error rate (α) of 0.05 and a Type II error rate (β) of 0.2, which corresponds to a statistical power of 80% to detect the aforementioned MCID, a minimum of 30 subjects per group is required to ensure adequate study power. The normality of data distributions was initially assessed using the Kolmogorov-Smirnov test. For data conforming to a normal distribution, unpaired t-tests were employed to compare the two groups. For data not adhering to a normal distribution, the Mann-Whitney U test was utilized. Differences between groups were assessed using Fisher’s exact test for categorical variables. Normally distributed continuous variables are presented as mean ± SD, and comparisons between groups were conducted using independent samples t-tests. Skewed continuous data are reported as median (Q1, Q3), and categorical data are expressed as frequencies and percentages (%). A p-value of less than 0.05 was considered statistically significant. 3. Results During the study period, a total of 102 patients underwent VATS surgery, of which 32 were excluded from the trial due to meeting one or more of the exclusion criteria. The remaining 70 patients were divided into two groups: 35 patients in the cSAPB+CB group and 35 patients in the SAPB+LB group. During the study period, 5 patients in the cSAPB+CB group experienced catheter dislodgement, and 5 patients in the SAPB+LB group were unable to complete the postoperative assessment due to being transferred to another hospital. Consequently, each of the continuous serratus anterior plane block with bupivacaine group and the single-dose liposomal bupivacaine serratus anterior plane block group had 30 patients included in the analysis of various postoperative outcomes (Figure 2). Figure 2: Flow‑chart Study. (cSAPB, continuous serratus anterior plane block; SAPB, serratus anterior plane block). Detailed information about all patients is provided in table 1. All patients underwent three-port thoracoscopic surgery. Table1:Details of the Participating Patients Group. disparities were assessed utilizing the independent t-test. Categorical variables underwent analysis via the Fisher's exact test as appropriate. Continuous variables are presented as mean ± standard deviation and categorical data as n (%). BMI: Body Mass Index; ASA score: American Society of Anesthesiologists physical status classification system; SAPB, serratus anterior plane block; cSAPB, continuous serratus anterior plane block. Table 2 delineates the statistical outcomes associated with the study endpoints. Notably, in assessing the principal study outcome utilizing postoperative scores derived from the QoR-15 questionnaire, the cSAPB+CB group registered scores of 88.64 ± 10.54 at 24 hours and 107.60 ± 10.76 at 48 hours postoperatively. In comparison, the SAPB+LB group achieved scores of 104.10 ± 8.96 at 24 hours and 118.40 ± 8.74 at 48 hours postoperatively. Consequently, the postoperative quality of recovery in the SAPB+LB group was significantly superior to that observed in the cSAPB+CB group at both 24 hours (p=0.001) and 48 hours (p=0.02) p postoperatively. Table 2: Outcomes of Patients. Between-group differences are evaluated using the Fisher exact test. Normally distributed continuous data are presented as mean ± standard deviation (SD) and compared using an independent samples t-test. Count data are presented as frequency and percentage (%). A p-value less than 0.05 is considered statistically significant. For secondary outcomes, the Visual Analogue Scale (VAS) score for pain at rest showed that the cSAPB+CB group scored 5.36 ± 1.03 at 24 hours and 3.75 ± 1.19 at 48 hours postoperatively, while the SAPB+LB group scored 4.55 ± 0.52 at 24 hours and 3.46 ± 0.82 at 48 hours. There were no statistically significant differences between the groups in pain scores at rest at 24 hours (p = 0.06) and 48 hours (p = 0.46). In terms of VAS scores during deep inhalation, the cSAPB+CB group scored 6.23 ± 1.30 at 24 hours and 4.62 ± 1.12 at 48 hours postoperatively, while the SAPB+LB group scored 5.75 ± 0.45 at 24 hours and 4.92 ± 1.08 at 48 hours. There were also no statistically significant differences between the groups in pain scores during deep breathing at 24 hours (p = 0.45) and 48 hours (p = 0.73). Additionally, there were no significant differences in postoperative pulmonary function recovery, as measured by the FEV1/FVC ratio (p = 0.95)(Table 2). Furthermore, the intraoperative and postoperative total consumption of opioids and related adverse events were compared. The cSAPB+CB group used 612.41 ± 98.41 µg of remifentanil intraoperatively and 13.81 ± 2.51 mg of opioids postoperatively, whereas the SAPB+LB group used 573.15 ± 99.79 µg of remifentanil intraoperatively and 12.87 ± 3.81 mg of opioids postoperatively. There were no statistically significant differences between the groups in the use of remifentanil (p = 0.76) or total postoperative opioid consumption (p = 0.69). There were also no significant differences in surgical duration (p = 0.52) or total hospital stay (p = 0.71) (Table 2). In terms of postoperative complications, the cSAPB+CB group experienced significantly more local swelling and pain at the puncture site compared to the SAPB+LB group (p = 0.03). Other complications such as nausea, vomiting (p = 0.46), postoperative pneumonia (p = 0.73), and pulmonary atelectasis (p = 0.91) showed no differences between the groups (Table 2). Discussion The main objective of this study was to compare the impact of continuous serratus anterior plane block with bupivacaine (cSAPB+CB) and single serratus anterior plane block using liposomal bupivacaine (SAPB+LB) on the quality of recovery in patients after VATS, as well as the effectiveness of these two methods in providing long-term analgesia. Effective pain management after VATS is crucial; although VATS is less invasive than traditional thoracic surgeries, it still involves significant surgical damage[21]. The results of this study indicate that a single serratus anterior plane block using liposomal bupivacaine showed significantly higher QoR-15 scores at 24 hours (p = 0.001) and 48 hours (p = 0.02) postoperatively compared to continuous serratus anterior plane block, suggesting that the use of liposomal bupivacaine for the serratus anterior plane block enhances the quality of postoperative recovery. Additionally, the incidence of local swelling and pain at the block site was lower (p = 0.03). The primary differences between the two groups may stem from several factors. Firstly, liposomal bupivacaine provides a sustained-release mechanism that prolongs the effect of bupivacaine without the need for continuous infusion. This prolonged analgesic effect may lead to an improved overall quality of early postoperative recovery experienced by patients. Secondly, patients in the SAPB+LB group showed a lower incidence of local complications such as swelling and pain, which could directly influence their overall recovery experience and QoR-15 scores. Moreover, although there were no significant differences between the groups in VAS pain scores, pulmonary function test results, and the total amount of opioids used during and after surgery, indicating similar effects in these aspects. However, from the perspectives of overall recovery quality and local complications, a single serratus anterior plane block with liposomal bupivacaine yielded superior results. These findings support the use of liposomal bupivacaine as an effective strategy for pain management after VATS, especially in scenarios where improving postoperative quality of life and reducing recovery time are priorities. In the United States and Europe, liposomal bupivacaine has been extensively researched and applied in various types of surgeries including abdominal and orthopedic procedures. Studies have shown that liposomal bupivacaine is highly effective in providing prolonged pain relief[22]. Previous studies have shown that applying liposomal bupivacaine for femoral or interscalene nerve blocks prior to knee or shoulder surgeries can significantly alleviate postoperative pain between 42 to 72 hours and reduce the total consumption of opioids[23]. Similar results have been obtained with the use of liposomal bupivacaine for transversus abdominis plane blocks in managing postoperative pain following laparoscopic surgeries[24]. However, current research on the application of liposomal bupivacaine in thoracic surgery is limited. Thus, the novelty of this study lies in the application of analgesic techniques and the use of drug release technology. Although serratus anterior plane blocks have been used for post-thoracic surgery analgesia, this systematic comparison between continuous bupivacaine use and single-use liposomal bupivacaine provides new insights, particularly in the context of video-assisted thoracic surgeries. Furthermore, the liposomal bupivacaine used in this study represents an innovative drug delivery system. By encapsulating bupivacaine within liposomes, the duration of the drug's effect can be extended, and side effects can be reduced, which is crucial for enhancing postoperative comfort and reducing drug-related toxicity. The serratus anterior plane block is a relatively simple, intuitive, and safe technique in anesthetic ultrasonography that can completely block one half of the thorax[25-27]. Past studies have demonstrated that after performing bilateral serratus anterior nerve blocks at the fifth intercostal space along the mid-axillary line on cadavers, ultrasonographic examination of the spread of the anesthetic showed cranial extension between the second and fourth intercostal spaces, and caudal spread below the rib margin[28]. Thus, it can be demonstrated that good analgesic effects on the lateral chest wall can be achieved following serratus anterior nerve blocks. By injecting local anesthetic between the serratus anterior and the external intercostal muscles, the lateral cutaneous branches of the intercostal nerves can be blocked, thereby providing an extensive analgesic coverage for thoracoscopic surgeries[28, 29]. This study has several potential limitations. Being a single-center study, it may be subject to regional bias, and its results may not be generalizable to other regions or countries. A multicenter study would provide more representative and broadly applicable data. Additionally, the study may focus only on short-term postoperative pain and recovery, without long-term follow-up of patient recovery and potential delayed complications. Also, as participants may primarily come from a specific region or have particular health conditions, the results might not apply to all patients undergoing thoracoscopic surgery. Furthermore, the study may not have detailed the baseline characteristics of patients, such as pre-existing health issues, which could affect the outcomes of pain management. Lastly, although QoR-15 and VAS are widely used to assess postoperative recovery and pain, the subjectivity of these tools might affect the accuracy of assessments. A patient's personal perception and expression of pain can be influenced by various factors, including psychological state and individual pain threshold. Designed as a randomized clinical trial, this study compared the effects of single-dose and continuous serratus anterior plane block techniques on post-VATS pain control and patient recovery quality. Although liposomal bupivacaine is more expensive per unit, its prolonged duration may reduce the overall amount of medication used throughout the treatment period, potentially lowering costs. In conclusion, this study aims to provide a new and effective method for postoperative pain management, offering scientific evidence and guidance for VATS and other surgeries requiring effective postoperative pain control, with significant clinical and socio-economic implications. By comparing two different serratus anterior nerve block techniques, this study offers more choices for future pain treatment, promoting the development of more optimized and personalized medical pain management. Conclusion The single-dose liposomal bupivacaine serratus anterior nerve block has fewer complications, longer pain control duration, and better postoperative recovery quality compared to the continuous bupivacaine serratus anterior nerve block. Abbreviations VATS Video-Assisted Thoracoscopic Surgery SAPB Serratus Anterior Plane Block cSAPB Continuous Serratus Anterior Plane Block CB Conventional Bupivacaine LB Liposomal Bupivacaine QoR-15 Quality of Recovery VAS Visual Analog Scale PEEP Positive End-Expiratory Pressure FEV1 Forced Expiratory Volume FVC Forced Vital Capacity MCID Minimum Clinically Important Difference SD Standard Deviation Declarations Data availability Data is provided within the manuscript. Acknowledgements We would like to express our gratitude to all the staff of the Department of Anesthesia and the operating theater for their support in this study. Funding This work was supported by the Sichuan Science and Technology Program[2022YFS0439], the Health Commission of Sichuan Province Medical Science and Technology Program[2022-217] , the Sichuan Medical Association’s Research in the fields of oncology, anesthesia Program (Hengrui) [SC202402]. Ethics declarations Ethics approval and consent to participate This study was conducted following the evaluation and approval of the Ethics Committee of the Second People's Hospital of Chengdu (Chairperson Prof Ruoxi Zhang) on 31 May 2024, with the specified study period being (Ethics Approval Number: 2024335). This study was registered at ClinicalTrials.gov (ChiCTR2400086348) and adheres to the applicable Equator guidelines. Consent for publication Not applicable. Competing interests The authors declare no competing interests. References Mehrotra M, D'Cruz JR, Bishop MA, Arthur ME. Video-Assisted Thoracoscopy. In: StatPearls. edn. Treasure Island (FL) ineligible companies. Disclosure: Jason D'Cruz declares no relevant financial relationships with ineligible companies. Disclosure: Michael Bishop declares no relevant financial relationships with ineligible companies. Disclosure: Mary Arthur declares no relevant financial relationships with ineligible companies.; 2024. Holbek BL, Horsleben Petersen R, Kehlet H, Hansen HJ. Fast-track video-assisted thoracoscopic surgery: future challenges. Scand Cardiovasc J. 2016;50(2):78–82. Klapper J, D'Amico TA. VATS versus open surgery for lung cancer resection: moving toward a minimally invasive approach. J Natl Compr Canc Netw. 2015;13(2):162–4. Joshi GP, Schug SA, Kehlet H. Procedure-specific pain management and outcome strategies. Best Pract Res Clin Anaesthesiol. 2014;28(2):191–201. Feray S, Lubach J, Joshi GP, Bonnet F, Van de Velde M, Anaesthesia PWGotESoR, Pain T. PROSPECT guidelines for video-assisted thoracoscopic surgery: a systematic review and procedure-specific postoperative pain management recommendations. Anaesthesia. 2022;77(3):311–25. Bendixen M, Jorgensen OD, Kronborg C, Andersen C, Licht PB. Postoperative pain and quality of life after lobectomy via video-assisted thoracoscopic surgery or anterolateral thoracotomy for early stage lung cancer: a randomised controlled trial. Lancet Oncol. 2016;17(6):836–44. Rodriguez-Aldrete D, Candiotti KA, Janakiraman R, Rodriguez-Blanco YF. Trends and New Evidence in the Management of Acute and Chronic Post-Thoracotomy Pain-An Overview of the Literature from 2005 to 2015. J Cardiothorac Vasc Anesth. 2016;30(3):762–72. Chen J, Zhang Y, Li X, Wan Y, Ji X, Wang W, Kang X, Yan W, Fan Z. Efficacy of transcutaneous electrical acupoint stimulation combined with general anesthesia for sedation and postoperative analgesia in minimally invasive lung cancer surgery: A randomized, double-blind, placebo-controlled trial. Thorac Cancer. 2020;11(4):928–34. Okmen K, Metin Okmen B. Evaluation of the effect of serratus anterior plane block for pain treatment after video-assisted thoracoscopic surgery. Anaesth Crit Care Pain Med. 2018;37(4):349–53. Shim JG, Ryu KH, Kim PO, Cho EA, Ahn JH, Yeon JE, Lee SH, Kang DY. Evaluation of ultrasound-guided erector spinae plane block for postoperative management of video-assisted thoracoscopic surgery: a prospective, randomized, controlled clinical trial. J Thorac Dis. 2020;12(8):4174–82. Scarci M, Joshi A, Attia R. In patients undergoing thoracic surgery is paravertebral block as effective as epidural analgesia for pain management? Interact Cardiovasc Thorac Surg. 2010;10(1):92–6. Chen JQ, Yang XL, Gu H, Chai XQ, Wang D. The Role of Serratus Anterior Plane Block During in Video-Assisted Thoracoscopic Surgery. Pain Ther. 2021;10(2):1051–66. Giang NT, Van Nam N, Trung NN, Anh LV, Cuong NM, Van Dinh N, Pho DC, Geiger P, Kien NT. Patient-controlled paravertebral analgesia for video-assisted thoracoscopic surgery lobectomy. Local Reg Anesth. 2018;11:115–21. Gao W, Yang XL, Hu JC, Gu H, Wu XN, Hu SS, Wang S, Chai XQ, Wang D. Continuous Serratus Anterior Plane Block Improved Early Pulmonary Function After Lung Cancer Surgical Procedure. Ann Thorac Surg. 2022;113(2):436–43. Moore PA. Bupivacaine: a long-lasting local anesthetic for dentistry. Oral Surg Oral Med Oral Pathol. 1984;58(4):369–74. McCann ME. Liposomal Bupivacaine. Anesthesiology. 2021;134(2):139–42. Candiotti K. Liposomal bupivacaine: an innovative nonopioid local analgesic for the management of postsurgical pain. Pharmacotherapy. 2012;32(9 Suppl):S19–26. Gailey AD, Ostrum RF. The use of liposomal bupivacaine in fracture surgery: a review. J Orthop Surg Res. 2023;18(1):267. Kim RK, Brodt J, MacArthur JW, Tsui BCH. Continuous Serratus Anterior Plane Block: A Team Approach. J Cardiothorac Vasc Anesth. 2022;36(4):1217–8. Myles PS, Shulman MA, Reilly J, Kasza J, Romero L. Measurement of quality of recovery after surgery using the 15-item quality of recovery scale: a systematic review and meta-analysis. Br J Anaesth. 2022;128(6):1029–39. Glare P, Aubrey KR, Myles PS. Transition from acute to chronic pain after surgery. Lancet. 2019;393(10180):1537–46. Ilfeld BM, Eisenach JC, Gabriel RA. Clinical Effectiveness of Liposomal Bupivacaine Administered by Infiltration or Peripheral Nerve Block to Treat Postoperative Pain. Anesthesiology. 2021;134(2):283–344. Barrington JW, Olugbode O, Lovald S, Ong K, Watson H, Emerson RH Jr.. Liposomal Bupivacaine: A Comparative Study of More Than 1000 Total Joint Arthroplasty Cases. Orthop Clin North Am. 2015;46(4):469–77. Ayad S, Babazade R, Elsharkawy H, Nadar V, Lokhande C, Makarova N, Khanna R, Sessler DI, Turan A. Comparison of Transversus Abdominis Plane Infiltration with Liposomal Bupivacaine versus Continuous Epidural Analgesia versus Intravenous Opioid Analgesia. PLoS ONE. 2016;11(4):e0153675. Finnerty DT, McMahon A, McNamara JR, Hartigan SD, Griffin M, Buggy DJ. Comparing erector spinae plane block with serratus anterior plane block for minimally invasive thoracic surgery: a randomised clinical trial. Br J Anaesth. 2020;125(5):802–10. Park MH, Kim JA, Ahn HJ, Yang MK, Son HJ, Seong BG. A randomised trial of serratus anterior plane block for analgesia after thoracoscopic surgery. Anaesthesia. 2018;73(10):1260–4. Wu W, Xu H, Chen X, He W, Shi H. Comparison of erector spinae plane block and serratus anterior plane block for postoperative analgesia in uniportal thoracoscopic lobectomy: a randomized controlled trial. BMC Anesthesiol. 2023;23(1):394. Mayes J, Davison E, Panahi P, Patten D, Eljelani F, Womack J, Varma M. An anatomical evaluation of the serratus anterior plane block. Anaesthesia. 2016;71(9):1064–9. Bashandy GM, Abbas DN. Pectoral nerves I and II blocks in multimodal analgesia for breast cancer surgery: a randomized clinical trial. Reg Anesth Pain Med. 2015;40(1):68–74. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 18 Nov, 2024 Editor assigned by journal 18 Nov, 2024 Submission checks completed at journal 15 Nov, 2024 First submitted to journal 15 Nov, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5458521","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":379442720,"identity":"13549714-af2e-408c-b724-52935c224c44","order_by":0,"name":"Mingyue Zhang","email":"","orcid":"","institution":"Chengdu Second People’s Hospital,","correspondingAuthor":false,"prefix":"","firstName":"Mingyue","middleName":"","lastName":"Zhang","suffix":""},{"id":379442721,"identity":"96392eca-46aa-4108-9433-a7739856af68","order_by":1,"name":"Zhuo Zheng","email":"","orcid":"","institution":"Chengdu Second People’s Hospital,","correspondingAuthor":false,"prefix":"","firstName":"Zhuo","middleName":"","lastName":"Zheng","suffix":""},{"id":379442722,"identity":"ab594060-cc49-4793-9dc7-de6a3c8d854e","order_by":2,"name":"Xianfeng Xie","email":"","orcid":"","institution":"Chengdu Second People’s Hospital,","correspondingAuthor":false,"prefix":"","firstName":"Xianfeng","middleName":"","lastName":"Xie","suffix":""},{"id":379442723,"identity":"33ef6632-c81f-4734-b323-f952f129064d","order_by":3,"name":"Yuee Dai","email":"","orcid":"","institution":"Science and Technology Department of Sichuan Province","correspondingAuthor":false,"prefix":"","firstName":"Yuee","middleName":"","lastName":"Dai","suffix":""},{"id":379442726,"identity":"710af27b-4267-44db-8c39-d1e84340bb53","order_by":4,"name":"Maosen Zhao","email":"","orcid":"","institution":"Chengdu Second People’s Hospital,","correspondingAuthor":false,"prefix":"","firstName":"Maosen","middleName":"","lastName":"Zhao","suffix":""},{"id":379442727,"identity":"cb31947d-e256-4ce2-a9aa-ad36a17bbe8e","order_by":5,"name":"Ke Gao","email":"","orcid":"","institution":"Chengdu Second People’s Hospital,","correspondingAuthor":false,"prefix":"","firstName":"Ke","middleName":"","lastName":"Gao","suffix":""},{"id":379442728,"identity":"a917c94d-64ed-456e-98bf-c9c38ab79eeb","order_by":6,"name":"Shaoxing Liu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABAElEQVRIie3Rv0vDQBTA8RcOXpbXdj250P4LJwdOHfxTLghmaaGTZMjS5bJI57joHyE4XwhkyuDuks21EJBMxQQEu3hmFLzv9Ib7cL8AfL4/2JwBsHFAgKDVabbEMLdOgmeEyWNTqzk12k3gi4zzxYNh8SO/lm4Skup22To+iPxVEGJiOGjo0xfHwehKFPWtwqjZKaJoa8TeBvfNm5MwwmqJfKNviOPWRFazwDiJ6uhU0UgqkixBruVvRIqZGXdJyn2hmZ5A8E7MDsNd+IbB0daXZnjk0nWXxaJ67uhjHT8VyXsfn7LVKs/Ltk9/JmfR93fYKeuHwnbiQp/P5/tvfQIoEEsgKtGayQAAAABJRU5ErkJggg==","orcid":"","institution":"Chengdu Second People’s Hospital,","correspondingAuthor":true,"prefix":"","firstName":"Shaoxing","middleName":"","lastName":"Liu","suffix":""}],"badges":[],"createdAt":"2024-11-15 07:38:19","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5458521/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5458521/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":71797503,"identity":"a16f6f36-ab72-433c-9e7a-d3de9c152515","added_by":"auto","created_at":"2024-12-18 16:20:03","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":383064,"visible":true,"origin":"","legend":"\u003cp\u003ePlacement of continuous erector spinae plane block under ultrasound guidance.\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-5458521/v1/850bd9d1f351a2e86488a78a.png"},{"id":71797505,"identity":"05117850-adb3-4cf0-bb26-9d5323149e95","added_by":"auto","created_at":"2024-12-18 16:20:03","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":160369,"visible":true,"origin":"","legend":"\u003cp\u003eFlow‑chart Study. (cSAPB, continuous serratus anterior plane block; SAPB, serratus anterior plane block).\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-5458521/v1/324150c177b764d0091570ef.png"},{"id":71798952,"identity":"d742f369-443f-4e8c-bd43-360727f7b468","added_by":"auto","created_at":"2024-12-18 16:28:03","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1277326,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5458521/v1/00edfe65-b091-4adf-8b4a-ec96f5d7cc8c.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Comparison of Continuous Serratus Anterior Plane Block (cSAPB) with Bupivacaine Versus Single Liposomal Bupivacaine Block in Postoperative Analgesia after Video-Assisted Thoracoscopic Surgery (VATS) : A Randomised Controlled Trial","fulltext":[{"header":"1. Background","content":"\u003cp\u003eVideo-assisted thoracic surgery (VATS) is a surgical technique performed within the thoracic cavity that utilizes video cameras and specialized instruments to operate through several small incisions, instead of traditional large open surgery[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. With continuous technological advancements and improvements in medical devices, the application scope of VATS in thoracic surgery has significantly expanded. The progress of VATS in thoracic medicine enables an increasing number of patients to benefit from surgeries with smaller incisions, faster recovery, and fewer complications, and it offers more options for the treatment of pulmonary and thoracic disorders[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Although the implementation of VATS has greatly reduced postoperative pain, managing pain after VATS still presents multiple challenges. Thoracotomy, the surgery involving chest opening, is among the procedures with the most intense incisional pain[\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Inadequate pain management can lead to a range of complications, reducing patient satisfaction and quality of recovery, and result in prolonged hospital stay and increased healthcare costs[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Effective pain management strategies can prevent these outcomes and improve pulmonary function after thoracic surgeries.\u003c/p\u003e \u003cp\u003eThe management of postoperative pain subsequent to VATS encompasses a myriad of methodologies[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. These include systemic pharmacologic analgesia, which incorporates α\u003csub\u003e2\u003c/sub\u003e adrenergic agonists, opioid analgesics, nonsteroidal anti-inflammatory drugs or cyclooxygenase-2 specific inhibitors, glucocorticoids, and gabapentinoids[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Non-pharmacologic interventions comprise transcutaneous electrical nerve stimulation therapy and cryoanalgesia[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Techniques for local analgesia include paravertebral nerve block, erector spinae plane block, serratus anterior plane block (SAPB), thoracic epidural analgesia, intercostal nerve block, and infiltration anesthesia at the surgical site[\u003cspan additionalcitationids=\"CR10\" citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe serratus plane block, a relatively innovative local anesthetic technique, is executed by administering an ultrasound-guided injection of local anesthetics into the fascial plane, facilitating their diffusion across the serratus anterior muscle, and achieving analgesia by obstructing the lateral cutaneous branches of the intercostal nerves that traverse this plane[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. The ultrasound-guided SAPB is characterized by its safety and ease of execution, and it does not adversely affect the patient's cognitive or cardiorespiratory status. This method considerably reduces the risk of pleural, spinal cord, or nerve root injuries typically associated with paravertebral blocks and thoracic epidural analgesia[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. By strategically placing a catheter within the deep fascial layer of the serratus anterior and administering a slow infusion of local anesthetics, a continuous serratus plane nerve blockade is established, thereby extending the efficacy period of local analgesia[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eBupivacaine, a member of the amide class of local anesthetics, exerts its pharmacological effects by binding to specific receptors on the neuronal membrane, subsequently inhibiting sodium ion channels[\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. This inhibition elevates the threshold for the generation of nerve action potentials, alters neuronal membrane depolarization, and suppresses both the generation and propagation of action potentials, thereby facilitating its anesthetic function. The pharmacodynamic duration of bupivacaine spans approximately 4\u0026ndash;6 hours, making it extensively utilized for analgesia following surgical procedures. However, pharmacotoxicological risks associated with bupivacaine include potential central nervous system and cardiac toxicities when administered in excessive quantities. The development of sustained-release formulations of local anesthetics enhances both the duration and efficacy of analgesia while concurrently mitigating risks associated with central nervous system and cardiac toxicities, thus reducing the likelihood of adverse effects consequent to high dosage administration. Liposomes are nanoscale vesicles encapsulated by one or more lipid bilayers, predominantly constituted of phospholipids and cholesterol[\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. These vesicles adopt micellar configurations in aqueous media and possess the capability to transport both hydrophilic and lipophilic pharmacological agents[\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Bupivacaine, when incorporated into liposomal formulations, benefits from a controlled release mechanism afforded by these lipidic enclosures. This modulation in drug release kinetics significantly prolongs the residence time of bupivacaine in localized tissue environments[\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. Therefore, compared to conventional bupivacaine formulations, liposomal bupivacaine demonstrates an extended pharmacological activity duration. Furthermore, the stabilization of bupivacaine concentrations within tissues through liposomal encapsulation mitigates the cytotoxicity and adverse pharmacological responses, thereby enhancing therapeutic safety and efficacy.\u003c/p\u003e \u003cp\u003eIt is currently unknown whether single administration of liposomal bupivacaine for serratus anterior plane block provides better postoperative recovery quality and longer analgesia duration than continuous serratus anterior plane block utilizing conventional bupivacaine. Therefore, this study aims to compare the effects of these two analgesic methods, combined with patient-controlled intravenous analgesia (PCIA), on postoperative recovery quality after VATS.\u003c/p\u003e"},{"header":"2. Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 \u003cem\u003eEthics\u003c/em\u003e\u003c/h2\u003e \u003cp\u003e This study was conducted following the evaluation and approval of the Ethics Committee of the Second People's Hospital of Chengdu (Chairperson Prof Ruoxi Zhang) on 31 May 2024, with the specified study period being (Ethics Approval Number: 2024335). This study was registered at ClinicalTrials.gov (ChiCTR2400086348) and adheres to the applicable Equator guidelines.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 \u003cem\u003eInclusion criteria\u003c/em\u003e\u003c/h2\u003e \u003cp\u003eEligible participants must meet all the following criteria to be considered for inclusion in this study: Demonstrated comprehensive understanding of the study's objectives, nature, methodologies, and potential adverse outcomes, coupled with voluntary participation and the provision of a signed informed consent document; scheduled to undergo unilateral thoracoscopic thoracic surgical procedures, such as lobectomy, wedge resection, or segmentectomy, under general anesthesia within the timeframe of July 2024 to October 2024, with an anticipated operative duration ranging from 1 to 3 hours and a projected cumulative incision length of no less than 6 centimeters; assigned a classification of Class I or II by the American Society of Anesthesiologists (ASA); aged inclusively between 18 and 65 years, regardless of gender; maintaining a Body Mass Index (BMI) between 18 and 30 kg/m\u003csup\u003e2\u003c/sup\u003e, with male participants weighing at least 50 kg and female participants at least 45 kg; exhibiting the ability to communicate effectively with the research team, understand the trial\u0026rsquo;s demands, and proficiently use the VAS for pain measurement.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3 \u003cem\u003eExclusion criteria\u003c/em\u003e\u003c/h2\u003e \u003cp\u003eParticipants presenting with any of the criteria listed below shall be excluded from the study: documented hypersensitivity or contraindications to amide-type local anesthetics such as bupivacaine, or to any components of liposomal bupivacaine; presence of infection at the proposed injection site or systemic infection; significant coagulopathies; history of opioid misuse; presence of persistent pain conditions; cognitive dysfunction; severe comorbid conditions involving the cardiovascular, hepatic, renal, respiratory, hematological, lymphatic, endocrine, immunological, neurological, or gastrointestinal systems; presence of any of the following conditions within one year prior to the commencement of the study: heart failure (classified as NYHA Class III or IV), angina pectoris, a history of myocardial infarction, pulmonary heart disease, severe cardiac arrhythmias, uncontrolled asthma with one or more acute episodes per week, history of coronary artery bypass grafting; previous thoracic surgery on the same side and/or any concurrent surgical procedures planned during the study period, such as bilateral thoracoscopy; history of chronic pain or continuous pain management prior to surgery.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4 \u003cem\u003eGeneral anesthesia\u003c/em\u003e\u003c/h2\u003e \u003cp\u003eUpon admission to the procedure room, standard cardiopulmonary monitoring is initiated, encompassing electrocardiography, transcutaneous oxygen saturation, and non-invasive arterial pressure measurements. A radial artery catheter is placed under local anesthesia and connected to a pressure transducer to facilitate continuous arterial pressure monitoring. Anesthetic induction involves the administration of the following pharmacological agents: midazolam at a dose range of 0.02\u0026ndash;0.05 mg/kg; penehyclidine between 0.005\u0026ndash;0.01 mg/kg; propofol at 2 mg/kg; sufentanil at 0.5 \u0026micro;g/kg; and rocuronium at 0.6\u0026ndash;0.8 mg/kg, all administered intravenously as bolus injections. Subsequent to the induction phase, optimal preoxygenation and denitrogenation procedures are conducted prior to intubation using a double-lumen left Robertshaw tube for bronchial intubation, verified via fiberoptic bronchoscopy. Lung isolation is achieved by selecting unilateral ventilation for either the left or right lung, depending on the surgical site. Ventilatory management employs a pressure-controlled mode, with settings adjusted to maintain a tidal volume of 5\u0026ndash;6 ml/kg, an inhalation to exhalation ratio of 1:2, a positive end-expiratory pressure (PEEP) of 5 cm H\u003csub\u003e2\u003c/sub\u003eO, and an inspired oxygen fraction (FiO\u003csub\u003e2\u003c/sub\u003e) of 100%. Adjustments to the respiratory rate are made based on the end-tidal carbon dioxide (ETCO\u003csub\u003e2\u003c/sub\u003e) levels, aiming to keep ETCO\u003csub\u003e2\u003c/sub\u003e within the range of 35\u0026ndash;45 mmHg. Anesthesia is maintained using a combination of sevoflurane, propofol, remifentanil, and rocuronium, with sevoflurane concentrations maintained at 1.5%. Propofol dosing is dynamically adjusted in response to the Bispectral Index (BIS) values, maintaining BIS between 40\u0026ndash;60, with dosages ranging from 4 to 6 mg/kg/h. The administration of remifentanil is tailored to intraoperative hemodynamics, with dosages adjusted between 0.1 to 0.3 \u0026micro;g/kg/min to maintain mean arterial pressure within 20% of the baseline value. Rocuronium is administered intermittently as clinically indicated. Upon completion of the surgical intervention, neuromuscular blockade reversal is achieved through the intravenous administration of neostigmine (0.04 mg/kg) and atropine (0.02 mg/kg). Following stabilization of vital signs and confirmation of readiness for extubation, the tracheal tube is removed. The patient is then monitored in the Post Anesthesia Care Unit (PACU) for 45 minutes before being transferred to the general ward.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e2.5 \u003cem\u003ePain management\u003c/em\u003e\u003c/h2\u003e \u003cp\u003eUpon the completion of anesthesia induction and tracheal intubation, and following the positioning of the patient for surgery, ultrasound-guided SAPB is performed by an experienced anesthesiologist, either as a single-shot or continuous technique based on the allocated group. Utilizing a superficial linear ultrasound probe, scanning begins at the mid-clavicular line and progresses sagittally downwards and laterally until reaching the axillary midline at the level of the fourth or fifth rib to determine the puncture site. Following aseptic preparation, an 18-G, 80 mm nerve block needle is guided by ultrasound through the latissimus dorsi muscle to reach the deep plane of the serratus anterior muscle. Before initiating the continuous block, a negative pressure aspiration through the needle is performed to ensure no blood return, followed by the injection of 5 ml of saline to confirm the needle tip's placement within the fascial layer and facilitate the expansion of the fascial space between the deep planes of the serratus anterior muscle, aiding in the insertion of a continuous nerve block catheter (20 G, 1000 mm, Contiplex D, 4895819NCN, Melsungen, Germany). After administering 10 ml of bupivacaine, the catheter is positioned 4.5 cm within the deep fascial plane of the serratus anterior muscle under ultrasound guidance[\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] (Figure.1). For patients receiving a single-shot serratus anterior plane block, after confirming the needle tip's position via the aforementioned steps, 10 ml of 1.33% liposomal bupivacaine is injected through the nerve block needle. Ultrasound scanning confirms the adequate distribution of the local anesthetic within the fascial plane between the serratus anterior and external intercostal muscles. For patients undergoing continuous serratus anterior plane block, a patient-controlled analgesia (PCA) pump is connected to the continuous nerve block catheter postoperatively to administer 0.25% bupivacaine at a basal rate of 5 ml/h. The continuous infusion of bupivacaine is maintained for 48 hours before the catheter is removed. All participants enrolled in the study receive patient-controlled intravenous analgesia, with the PCA pump prepared with 50 \u0026micro;g of sufentanil and 20 mg of metoclopramide in 100 ml. The basal rate of the PCA is set at 0.06 mg/kg/h, with the patient-controlled dose set at 0.06 mg/kg per demand, and a lockout interval of 15 minutes. For patients experiencing severe pain upon returning to the general ward postoperatively, an intramuscular injection of 10 mg of pethidine is administered by a surgical physician for pain relief.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e2.6 \u003cem\u003eRandomization\u003c/em\u003e\u003c/h2\u003e \u003cp\u003eParticipants enrolled in the study were randomly assigned in a 1:1 ratio to either the cSAPB with bupivacaine group or the SAPB with liposomal bupivacaine group. Each participant was allocated a unique identifier initially. Subsequently, an equal division of participants into two groups was facilitated through a computer-generated random sequence module. The first group was designated as \"cSAPB\u0026thinsp;+\u0026thinsp;CB\" (continuous SAPB with conventional bupivacaine), and the second group was termed \"SAPB\u0026thinsp;+\u0026thinsp;LB\" (single-shot SAPB with liposomal bupivacaine).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e2.7 \u003cem\u003eOutcome measures\u003c/em\u003e\u003c/h2\u003e \u003cp\u003eThe primary outcome measure of this study is a comparative analysis of scores from the QoR-15 questionnaire at 24 and 48 hours postoperatively. The QoR-15 is an established scale that quantitatively assesses the quality of recovery across multiple dimensions in postoperative patients. This succinct and pragmatic instrument evaluates the recovery across physiological, psychological, and social domains of a patient's post-surgical state[\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Comprising 15 items, it explores various domains of postoperative recovery including patient comfort, mobility, emotional well-being, nutrition, and sleep quality. Each item is scored on a Likert scale ranging from 0 to 10, where 0 represents the poorest conceivable condition and 10 denotes optimal recovery, with aggregate higher scores indicative of enhanced recovery outcomes. The QoR-15 is administered to the patients 24 and 48 hours postoperatively, who are expected to independently complete the questionnaire in their respective wards.\u003c/p\u003e \u003cp\u003eSecondary outcomes include evaluations of pain using the VAS at 24 and 48 hours post-surgery. The VAS is a standardized tool utilized for the quantification of pain intensity. It features a linear scale, typically 10 centimeters in length, labeled at one end as 'no pain' and at the other as 'the most severe pain imaginable' or 'unbearable pain.' Patients are instructed to mark their perceived level of pain on this scale, and the position marked is subsequently converted into a numerical value to objectively measure the intensity of pain. VAS assessments are conducted at the specified postoperative intervals with patients indicating their pain levels on the scale, and the positions marked are recorded in centimeters.\u003c/p\u003e \u003cp\u003eFurther secondary outcomes encompass assessments of pulmonary function through spirometry. The pulmonary function tests are performed using a digital spirometer (Spirobank II, Rome, Italy), both preoperatively and 48 hours following surgery. The primary pulmonary metrics assessed are the Forced Expiratory Volume in one second (FEV1) and Forced Vital Capacity (FVC), with the ratio of FEV1/FVC serving as a critical indicator of pulmonary function. The analysis of postoperative changes in FEV1/FVC ratio serves as a measure for evaluating the recovery of pulmonary function post-surgery. An unchanged or improved FEV1/FVC ratio postoperatively suggests satisfactory pulmonary recovery, whereas a decline may indicate adverse surgical impacts on pulmonary function[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. Additional secondary outcomes measured include the total amount of opioids administered intraoperatively and postoperatively, as well as the incidence of adverse events.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e2.8 \u003cem\u003eData analysis\u003c/em\u003e\u003c/h2\u003e \u003cp\u003eData were analyzed using Graph Pad Prism version 8 (GraphPad, Salt Lake City, UT, USA). The required sample size for this study was calculated based on the primary outcome measures. The primary outcome was the QoR-15 score at 24 h postoperatively. The minimum clinically important difference (MCID) for the QoR-15 scale was set at 8.0. Moreover, the standard deviation (SD) of QoR-15 scores following major surgery is approximately 16, with scores ranging from 1 to 150. Therefore, assuming a Type I error rate (α) of 0.05 and a Type II error rate (β) of 0.2, which corresponds to a statistical power of 80% to detect the aforementioned MCID, a minimum of 30 subjects per group is required to ensure adequate study power. The normality of data distributions was initially assessed using the Kolmogorov-Smirnov test. For data conforming to a normal distribution, unpaired t-tests were employed to compare the two groups. For data not adhering to a normal distribution, the Mann-Whitney U test was utilized. Differences between groups were assessed using Fisher\u0026rsquo;s exact test for categorical variables. Normally distributed continuous variables are presented as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD, and comparisons between groups were conducted using independent samples t-tests. Skewed continuous data are reported as median (Q1, Q3), and categorical data are expressed as frequencies and percentages (%). A p-value of less than 0.05 was considered statistically significant.\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cp\u003eDuring the study period, a total of 102 patients underwent VATS surgery, of which 32 were excluded from the trial due to meeting one or more of the exclusion criteria. The remaining 70 patients were divided into two groups: 35 patients in the cSAPB+CB group and 35 patients in the SAPB+LB group. During the study period, 5 patients in the cSAPB+CB group experienced catheter dislodgement, and 5 patients in the SAPB+LB group were unable to complete the postoperative assessment due to being transferred to another hospital. Consequently, each of the continuous serratus anterior plane block with bupivacaine group and the single-dose liposomal bupivacaine serratus anterior plane block group had 30 patients included in the analysis of various postoperative outcomes (Figure 2).\u003c/p\u003e\n\u003cp\u003eFigure 2: Flow‑chart Study. (cSAPB, continuous serratus anterior plane block; SAPB, serratus anterior plane block).\u003c/p\u003e\n\u003cp\u003eDetailed information about all patients is provided in table 1. All patients underwent three-port thoracoscopic surgery.\u003c/p\u003e\n\u003cp\u003eTable1:Details of the Participating Patients Group. disparities were assessed utilizing the independent t-test. Categorical variables underwent analysis via the Fisher\u0026apos;s exact test as appropriate. Continuous variables are presented as mean \u0026plusmn; standard deviation and categorical data as n (%). BMI: Body Mass Index; ASA score: American Society of Anesthesiologists physical status classification system; SAPB, serratus anterior plane block; cSAPB, continuous serratus anterior plane block.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eTable 2 delineates the statistical outcomes associated with the study endpoints. Notably, in assessing the principal study outcome utilizing postoperative scores derived from the QoR-15 questionnaire, the cSAPB+CB group registered scores of 88.64 \u0026plusmn; 10.54 at 24 hours and 107.60 \u0026plusmn; 10.76 at 48 hours postoperatively. In comparison, the SAPB+LB group achieved scores of 104.10 \u0026plusmn; 8.96 at 24 hours and 118.40 \u0026plusmn; 8.74 at 48 hours postoperatively. Consequently, the postoperative quality of recovery in the SAPB+LB group was significantly superior to that observed in the cSAPB+CB group at both 24 hours (p=0.001) and 48 hours (p=0.02) p postoperatively.\u003c/p\u003e\n\u003cp\u003eTable 2: Outcomes of Patients. Between-group differences are evaluated using the Fisher exact test. Normally distributed continuous data are presented as mean \u0026plusmn; standard deviation (SD) and compared using an independent samples t-test. Count data are presented as frequency and percentage (%). A p-value less than 0.05 is considered statistically significant.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eFor secondary outcomes, the Visual Analogue Scale (VAS) score for pain at rest showed that the cSAPB+CB group scored 5.36 \u0026plusmn; 1.03 at 24 hours and 3.75 \u0026plusmn; 1.19 at 48 hours postoperatively, while the SAPB+LB group scored 4.55 \u0026plusmn; 0.52 at 24 hours and 3.46 \u0026plusmn; 0.82 at 48 hours. There were no statistically significant differences between the groups in pain scores at rest at 24 hours (p = 0.06) and 48 hours (p = 0.46). In terms of VAS scores during deep inhalation, the cSAPB+CB group scored 6.23 \u0026plusmn; 1.30 at 24 hours and 4.62 \u0026plusmn; 1.12 at 48 hours postoperatively, while the SAPB+LB group scored 5.75 \u0026plusmn; 0.45 at 24 hours and 4.92 \u0026plusmn; 1.08 at 48 hours. There were also no statistically significant differences between the groups in pain scores during deep breathing at 24 hours (p = 0.45) and 48 hours (p = 0.73). Additionally, there were no significant differences in postoperative pulmonary function recovery, as measured by the FEV1/FVC ratio (p = 0.95)(Table 2).\u003c/p\u003e\n\u003cp\u003eFurthermore, the intraoperative and postoperative total consumption of opioids and related adverse events were compared. The cSAPB+CB group used 612.41 \u0026plusmn; 98.41 \u0026micro;g of remifentanil intraoperatively and 13.81 \u0026plusmn; 2.51 mg of opioids postoperatively, whereas the SAPB+LB group used 573.15 \u0026plusmn; 99.79 \u0026micro;g of remifentanil intraoperatively and 12.87 \u0026plusmn; 3.81 mg of opioids postoperatively. There were no statistically significant differences between the groups in the use of remifentanil (p = 0.76) or total postoperative opioid consumption (p = 0.69). There were also no significant differences in surgical duration (p = 0.52) or total hospital stay (p = 0.71) (Table 2).\u003c/p\u003e\n\u003cp\u003eIn terms of postoperative complications, the cSAPB+CB group experienced significantly more local swelling and pain at the puncture site compared to the SAPB+LB group (p = 0.03). Other complications such as nausea, vomiting (p = 0.46), postoperative pneumonia (p = 0.73), and pulmonary atelectasis (p = 0.91) showed no differences between the groups (Table 2).\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe main objective of this study was to compare the impact of continuous serratus anterior plane block with bupivacaine (cSAPB+CB) and single serratus anterior plane block using liposomal bupivacaine (SAPB+LB) on the quality of recovery in patients after VATS, as well as the effectiveness of these two methods in providing long-term analgesia.\u0026nbsp;Effective pain management after VATS is crucial; although VATS is less invasive than traditional thoracic surgeries, it still involves significant surgical damage[21].\u0026nbsp;The results of this study indicate that a single serratus anterior plane block using liposomal bupivacaine showed significantly higher QoR-15 scores at 24 hours (p = 0.001) and 48 hours (p = 0.02) postoperatively compared to continuous serratus anterior plane block, suggesting that the use of liposomal bupivacaine for the serratus anterior plane block enhances the quality of postoperative recovery. Additionally, the incidence of local swelling and pain at the block site was lower (p = 0.03). The primary differences between the two groups may stem from several factors. Firstly, liposomal bupivacaine provides a sustained-release mechanism that prolongs the effect of bupivacaine without the need for continuous infusion. This prolonged analgesic effect may lead to an improved overall quality of early postoperative recovery experienced by patients. Secondly, patients in the SAPB+LB group showed a lower incidence of local complications such as swelling and pain, which could directly influence their overall recovery experience and QoR-15 scores. Moreover, although there were no significant differences between the groups in VAS pain scores, pulmonary function test results, and the total amount of opioids used during and after surgery, indicating similar effects in these aspects.\u0026nbsp;However, from the perspectives of overall recovery quality and local complications, a single serratus anterior plane block with liposomal bupivacaine yielded superior results. These findings support the use of liposomal bupivacaine as an effective strategy for pain management after VATS, especially in scenarios where improving postoperative quality of life and reducing recovery time are priorities.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn the United States and Europe, liposomal bupivacaine has been extensively researched and applied in various types of surgeries including abdominal and orthopedic procedures. Studies have shown that liposomal bupivacaine is highly effective in providing prolonged pain relief[22]. Previous studies have shown that applying liposomal bupivacaine for femoral or interscalene nerve blocks prior to knee or shoulder surgeries can significantly alleviate postoperative pain between 42 to 72 hours and reduce the total consumption of opioids[23]. Similar results have been obtained with the use of liposomal bupivacaine for transversus abdominis plane blocks in managing postoperative pain following laparoscopic surgeries[24].\u0026nbsp;However, current research on the application of liposomal bupivacaine in thoracic surgery is limited. Thus, the novelty of this study lies in the application of analgesic techniques and the use of drug release technology. Although serratus anterior plane blocks have been used for post-thoracic surgery analgesia, this systematic comparison between continuous bupivacaine use and single-use liposomal bupivacaine provides new insights, particularly in the context of video-assisted thoracic surgeries. Furthermore, the liposomal bupivacaine used in this study represents an innovative drug delivery system. By encapsulating bupivacaine within liposomes, the duration of the drug\u0026apos;s effect can be extended, and side effects can be reduced, which is crucial for enhancing postoperative comfort and reducing drug-related toxicity.\u003c/p\u003e\n\u003cp\u003eThe serratus anterior plane block is a relatively simple, intuitive, and safe technique in anesthetic ultrasonography that can completely block one half of the thorax[25-27]. Past studies have demonstrated that after performing bilateral serratus anterior nerve blocks at the fifth intercostal space along the mid-axillary line on cadavers, ultrasonographic examination of the spread of the anesthetic showed cranial extension between the second and fourth intercostal spaces, and caudal spread below the rib margin[28]. Thus, it can be demonstrated that good analgesic effects on the lateral chest wall can be achieved following serratus anterior nerve blocks. By injecting local anesthetic between the serratus anterior and the external intercostal muscles, the lateral cutaneous branches of the intercostal nerves can be blocked, thereby providing an extensive analgesic coverage for thoracoscopic surgeries[28, 29].\u003c/p\u003e\n\u003cp\u003eThis study has several potential limitations. Being a single-center study, it may be subject to regional bias, and its results may not be generalizable to other regions or countries. A multicenter study would provide more representative and broadly applicable data. Additionally, the study may focus only on short-term postoperative pain and recovery, without long-term follow-up of patient recovery and potential delayed complications. Also, as participants may primarily come from a specific region or have particular health conditions, the results might not apply to all patients undergoing thoracoscopic surgery. Furthermore, the study may not have detailed the baseline characteristics of patients, such as pre-existing health issues, which could affect the outcomes of pain management. Lastly, although QoR-15 and VAS are widely used to assess postoperative recovery and pain, the subjectivity of these tools might affect the accuracy of assessments. A patient\u0026apos;s personal perception and expression of pain can be influenced by various factors, including psychological state and individual pain threshold.\u003c/p\u003e\n\u003cp\u003eDesigned as a randomized clinical trial, this study compared the effects of single-dose and continuous serratus anterior plane block techniques on post-VATS pain control and patient recovery quality. Although liposomal bupivacaine is more expensive per unit, its prolonged duration may reduce the overall amount of medication used throughout the treatment period, potentially lowering costs. In conclusion, this study aims to provide a new and effective method for postoperative pain management, offering scientific evidence and guidance for VATS and other surgeries requiring effective postoperative pain control, with significant clinical and socio-economic implications. By comparing two different serratus anterior nerve block techniques, this study offers more choices for future pain treatment, promoting the development of more optimized and personalized medical pain management.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThe single-dose liposomal bupivacaine serratus anterior nerve block has fewer complications, longer pain control duration, and better postoperative recovery quality compared to the continuous bupivacaine serratus anterior nerve block.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eVATS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eVideo-Assisted Thoracoscopic Surgery\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSAPB\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eSerratus Anterior Plane Block\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ecSAPB\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eContinuous Serratus Anterior Plane Block\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCB\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eConventional Bupivacaine\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eLB\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eLiposomal Bupivacaine\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eQoR-15\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eQuality of Recovery\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eVAS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eVisual Analog Scale\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePEEP\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ePositive End-Expiratory Pressure\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFEV1\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eForced Expiratory Volume\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eFVC\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eForced Vital Capacity\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eMCID\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eMinimum Clinically Important Difference\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eSD\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eStandard Deviation\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eData is provided within the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe would like to express our gratitude to all the staff of the Department of Anesthesia and the operating theater for their support in this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by the Sichuan Science and Technology Program[2022YFS0439], the Health Commission of Sichuan Province Medical Science and Technology Program[2022-217] , the Sichuan Medical Association\u0026rsquo;s Research in the fields of oncology, anesthesia Program (Hengrui) [SC202402].\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics declarations\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEthics approval and consent to participate\u003c/p\u003e\n\u003cp\u003eThis study was conducted following the evaluation and approval of the Ethics Committee of the Second People\u0026apos;s Hospital of Chengdu (Chairperson Prof Ruoxi Zhang) on 31 May 2024, with the specified study period being (Ethics Approval Number: 2024335). This study was registered at ClinicalTrials.gov (ChiCTR2400086348) and adheres to the applicable Equator guidelines.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eMehrotra M, D'Cruz JR, Bishop MA, Arthur ME. Video-Assisted Thoracoscopy. In: \u003cem\u003eStatPearls.\u003c/em\u003e edn. Treasure Island (FL) ineligible companies. Disclosure: Jason D'Cruz declares no relevant financial relationships with ineligible companies. Disclosure: Michael Bishop declares no relevant financial relationships with ineligible companies. Disclosure: Mary Arthur declares no relevant financial relationships with ineligible companies.; 2024.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHolbek BL, Horsleben Petersen R, Kehlet H, Hansen HJ. Fast-track video-assisted thoracoscopic surgery: future challenges. Scand Cardiovasc J. 2016;50(2):78\u0026ndash;82.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKlapper J, D'Amico TA. VATS versus open surgery for lung cancer resection: moving toward a minimally invasive approach. J Natl Compr Canc Netw. 2015;13(2):162\u0026ndash;4.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJoshi GP, Schug SA, Kehlet H. Procedure-specific pain management and outcome strategies. Best Pract Res Clin Anaesthesiol. 2014;28(2):191\u0026ndash;201.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFeray S, Lubach J, Joshi GP, Bonnet F, Van de Velde M, Anaesthesia PWGotESoR, Pain T. PROSPECT guidelines for video-assisted thoracoscopic surgery: a systematic review and procedure-specific postoperative pain management recommendations. Anaesthesia. 2022;77(3):311\u0026ndash;25.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBendixen M, Jorgensen OD, Kronborg C, Andersen C, Licht PB. Postoperative pain and quality of life after lobectomy via video-assisted thoracoscopic surgery or anterolateral thoracotomy for early stage lung cancer: a randomised controlled trial. Lancet Oncol. 2016;17(6):836\u0026ndash;44.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRodriguez-Aldrete D, Candiotti KA, Janakiraman R, Rodriguez-Blanco YF. Trends and New Evidence in the Management of Acute and Chronic Post-Thoracotomy Pain-An Overview of the Literature from 2005 to 2015. J Cardiothorac Vasc Anesth. 2016;30(3):762\u0026ndash;72.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChen J, Zhang Y, Li X, Wan Y, Ji X, Wang W, Kang X, Yan W, Fan Z. Efficacy of transcutaneous electrical acupoint stimulation combined with general anesthesia for sedation and postoperative analgesia in minimally invasive lung cancer surgery: A randomized, double-blind, placebo-controlled trial. Thorac Cancer. 2020;11(4):928\u0026ndash;34.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOkmen K, Metin Okmen B. Evaluation of the effect of serratus anterior plane block for pain treatment after video-assisted thoracoscopic surgery. Anaesth Crit Care Pain Med. 2018;37(4):349\u0026ndash;53.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eShim JG, Ryu KH, Kim PO, Cho EA, Ahn JH, Yeon JE, Lee SH, Kang DY. Evaluation of ultrasound-guided erector spinae plane block for postoperative management of video-assisted thoracoscopic surgery: a prospective, randomized, controlled clinical trial. J Thorac Dis. 2020;12(8):4174\u0026ndash;82.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eScarci M, Joshi A, Attia R. In patients undergoing thoracic surgery is paravertebral block as effective as epidural analgesia for pain management? Interact Cardiovasc Thorac Surg. 2010;10(1):92\u0026ndash;6.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChen JQ, Yang XL, Gu H, Chai XQ, Wang D. The Role of Serratus Anterior Plane Block During in Video-Assisted Thoracoscopic Surgery. Pain Ther. 2021;10(2):1051\u0026ndash;66.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGiang NT, Van Nam N, Trung NN, Anh LV, Cuong NM, Van Dinh N, Pho DC, Geiger P, Kien NT. Patient-controlled paravertebral analgesia for video-assisted thoracoscopic surgery lobectomy. Local Reg Anesth. 2018;11:115\u0026ndash;21.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGao W, Yang XL, Hu JC, Gu H, Wu XN, Hu SS, Wang S, Chai XQ, Wang D. Continuous Serratus Anterior Plane Block Improved Early Pulmonary Function After Lung Cancer Surgical Procedure. Ann Thorac Surg. 2022;113(2):436\u0026ndash;43.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMoore PA. Bupivacaine: a long-lasting local anesthetic for dentistry. Oral Surg Oral Med Oral Pathol. 1984;58(4):369\u0026ndash;74.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMcCann ME. Liposomal Bupivacaine. Anesthesiology. 2021;134(2):139\u0026ndash;42.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCandiotti K. Liposomal bupivacaine: an innovative nonopioid local analgesic for the management of postsurgical pain. Pharmacotherapy. 2012;32(9 Suppl):S19\u0026ndash;26.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGailey AD, Ostrum RF. The use of liposomal bupivacaine in fracture surgery: a review. J Orthop Surg Res. 2023;18(1):267.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKim RK, Brodt J, MacArthur JW, Tsui BCH. Continuous Serratus Anterior Plane Block: A Team Approach. J Cardiothorac Vasc Anesth. 2022;36(4):1217\u0026ndash;8.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMyles PS, Shulman MA, Reilly J, Kasza J, Romero L. Measurement of quality of recovery after surgery using the 15-item quality of recovery scale: a systematic review and meta-analysis. Br J Anaesth. 2022;128(6):1029\u0026ndash;39.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGlare P, Aubrey KR, Myles PS. Transition from acute to chronic pain after surgery. Lancet. 2019;393(10180):1537\u0026ndash;46.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eIlfeld BM, Eisenach JC, Gabriel RA. Clinical Effectiveness of Liposomal Bupivacaine Administered by Infiltration or Peripheral Nerve Block to Treat Postoperative Pain. Anesthesiology. 2021;134(2):283\u0026ndash;344.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBarrington JW, Olugbode O, Lovald S, Ong K, Watson H, Emerson RH Jr.. Liposomal Bupivacaine: A Comparative Study of More Than 1000 Total Joint Arthroplasty Cases. Orthop Clin North Am. 2015;46(4):469\u0026ndash;77.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAyad S, Babazade R, Elsharkawy H, Nadar V, Lokhande C, Makarova N, Khanna R, Sessler DI, Turan A. Comparison of Transversus Abdominis Plane Infiltration with Liposomal Bupivacaine versus Continuous Epidural Analgesia versus Intravenous Opioid Analgesia. PLoS ONE. 2016;11(4):e0153675.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFinnerty DT, McMahon A, McNamara JR, Hartigan SD, Griffin M, Buggy DJ. Comparing erector spinae plane block with serratus anterior plane block for minimally invasive thoracic surgery: a randomised clinical trial. Br J Anaesth. 2020;125(5):802\u0026ndash;10.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePark MH, Kim JA, Ahn HJ, Yang MK, Son HJ, Seong BG. A randomised trial of serratus anterior plane block for analgesia after thoracoscopic surgery. Anaesthesia. 2018;73(10):1260\u0026ndash;4.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWu W, Xu H, Chen X, He W, Shi H. Comparison of erector spinae plane block and serratus anterior plane block for postoperative analgesia in uniportal thoracoscopic lobectomy: a randomized controlled trial. BMC Anesthesiol. 2023;23(1):394.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMayes J, Davison E, Panahi P, Patten D, Eljelani F, Womack J, Varma M. An anatomical evaluation of the serratus anterior plane block. Anaesthesia. 2016;71(9):1064\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBashandy GM, Abbas DN. Pectoral nerves I and II blocks in multimodal analgesia for breast cancer surgery: a randomized clinical trial. Reg Anesth Pain Med. 2015;40(1):68\u0026ndash;74.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-anesthesiology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bane","sideBox":"Learn more about [BMC Anesthesiology](http://bmcanesthesiol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bane","title":"BMC Anesthesiology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Continuous Serratus Anterior Plane Block, Liposomal Bupivacaine, Video-Assisted Thoracoscopic Surgery, Pain","lastPublishedDoi":"10.21203/rs.3.rs-5458521/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5458521/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eVideo-Assisted Thoracoscopic Surgery (VATS) is a commonly used minimally invasive technique in thoracic surgery. The continuous serratus anterior plane block (cSAPB) involves the placement of a catheter deep in the serratus anterior fascia for the slow and continuous infusion of local anesthetics. Liposomal bupivacaine is a formulation of bupivacaine encapsulated in liposomes, which prolongs the release of the drug. This study compares the impact of cSAPB with bupivacaine and single-shot SAPB with liposomal bupivacaine on postoperative recovery quality and pain control after VATS.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003ePatients were randomly assigned to two groups: one receiving cSAPB with conventional bupivacaine (cSAPB\u0026thinsp;+\u0026thinsp;CB) and the other receiving SAPB with liposomal bupivacaine (SAPB\u0026thinsp;+\u0026thinsp;LB). The primary outcome measure was the Quality of Recovery (QoR-15) scores at 24 and 48 hours post-surgery. Secondary outcomes included: pain intensity assessed using the Visual Analog Scale (VAS) pain scale at rest and during deep breathing at 24 and 48 hours postoperatively, postoperative pulmonary function, total opioid consumption during and after surgery, and adverse events.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eQoR-15 scores were significantly elevated in the SAPB\u0026thinsp;+\u0026thinsp;LB group at both 24 and 48 hours post-surgery(24h: p\u0026thinsp;=\u0026thinsp;0.001; 48h: p\u0026thinsp;=\u0026thinsp;0.02). Comparative analysis revealed no statistically significant differences between the SAPB\u0026thinsp;+\u0026thinsp;CB group and the SAPB\u0026thinsp;+\u0026thinsp;LB group in terms of VAS scores for pain at rest at 24 and 48 hours (24h: p\u0026thinsp;=\u0026thinsp;0.06; 48h: p\u0026thinsp;=\u0026thinsp;0.46), or during deep breathing (24h: p\u0026thinsp;=\u0026thinsp;0.45; 48h: p\u0026thinsp;=\u0026thinsp;0.73). Additionally, there were no significant differences in lung function tests (FEV1/FVC ratio, p\u0026thinsp;=\u0026thinsp;0.95), total intraoperative opioid consumption (p\u0026thinsp;=\u0026thinsp;0.76), or total postoperative opioid consumption (p\u0026thinsp;=\u0026thinsp;0.69). However, the incidence of local complications such as swelling and pain was significantly reduced in the SAPB\u0026thinsp;+\u0026thinsp;LB group (p\u0026thinsp;=\u0026thinsp;0.03).\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eThe use of single liposomal bupivacaine serratus anterior plane block provides superior early postoperative recovery quality and reduces the incidence of local complications.\u003c/p\u003e\u003ch2\u003eTrial registration\u003c/h2\u003e \u003cp\u003eChinese Clinical Trial Registry, identifier ChiCTR2100054089, June 28,2024.\u003c/p\u003e","manuscriptTitle":"Comparison of Continuous Serratus Anterior Plane Block (cSAPB) with Bupivacaine Versus Single Liposomal Bupivacaine Block in Postoperative Analgesia after Video-Assisted Thoracoscopic Surgery (VATS) : A Randomised Controlled Trial","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-12-18 16:19:58","doi":"10.21203/rs.3.rs-5458521/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-11-18T11:44:36+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-11-18T11:38:46+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-11-16T04:55:26+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Anesthesiology","date":"2024-11-15T07:35:04+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-anesthesiology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bane","sideBox":"Learn more about [BMC Anesthesiology](http://bmcanesthesiol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bane","title":"BMC Anesthesiology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"b39e014c-dc09-47c9-9d4b-d509aaf53bf9","owner":[],"postedDate":"December 18th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-07-07T05:38:40+00:00","versionOfRecord":[],"versionCreatedAt":"2024-12-18 16:19:58","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5458521","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5458521","identity":"rs-5458521","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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