Background: Local anesthesia can reduce the response to surgical stress and decrease the consumption of opioids, which may reduce immunosuppression and potentially delay postoperative tumor recurrence. We compared paravertebral block (PVB) combined with general anesthesia (GA) and general anesthesia regarding their effects on postoperative pain and matrix metalloproteinase-9 (MMP-9) after video-assisted thoracoscopic surgery (VATS) lobectomy. Methods: 54 patients undergoing elective VATS lobectomy at a single tertiary care, teaching hospital located in Qingdao between May 2, 2018 and Sep 28, 2018 were randomised by computer to either paravertebral block combined with general anesthesia or general anesthesia. The primary outcomes were pain scores at rest and on cough at 1, 4, 24, and 48 h after surgery. The secondary outcome were plasma concentrations of MMP-9, complications, and length of postoperative hospital stay. Results: 75 were enrolled to the study, of whom 21 were excluded before surgery. We analyzed lobectomy patients undergoing paravertebral block combined with general anesthesia (n = 25) or general anesthesia (n = 24). Both groups were similar regarding baseline characteristics. Pain scores at rest at 4 h and 24 h, on cough at 4 h were lower in PVB/GA group, compared with GA group (P < 0.05). There were no difference in pain scores at rest at 1 h, 48 h and on cough at 1 h, 24 h, and 48 h between groups. Patients in the PVB/GA group showed a greater decrease in plasma MMP-9 level at T1 and T2 after VATS lobectomy (P < 0.05). Postoperative complications and length of stay did not differ by anesthetic technique. Conclusions: The paravertebral block/general anesthesia can provide statistically better pain relief and attenuate MMP-9 response to surgery and after VATS lobectomy. This technique may be beneficial for patients to recover rapidly after lung surgery and reduce postoperative tumor recurrence. Trial registration: Chinese Clinical Trial registration number ChiCTR1800016379. Registered 28 May 2018.

Altered bone morphogenetic protein (BMP) signaling is associated with many musculoskeletal diseases. However, it remains unknown whether BMP dysfunction has direct contribution to debilitating pain reported in many of these disorders. Here, we identified a novel neuropathic pain phenotype in patients with fibrodysplasia ossificans progressiva (FOP), a rare autosomal-dominant musculoskeletal disorder characterized by progressive heterotopic ossification. Ninety-seven percent of these patients carry an R206H gain-of-function point mutation in the BMP type I receptor ACVR1 (ACVR1^R206H), which causes neofunction to Activin A and constitutively activates signaling through phosphorylated SMAD1/5/8. Although patients with FOP can harbor pathological lesions in the peripheral and central nervous system, their etiology and clinical impact are unclear. Quantitative sensory testing of patients with FOP revealed significant heat and mechanical pain hypersensitivity. Although there was no major effect of ACVR1^R206H on differentiation and maturation of nociceptive sensory neurons (iSNs) derived from FOP induced pluripotent stem cells, both intracellular and extracellular electrophysiology analyses of the ACVR1^R206H iSNs displayed ACVR1-dependent hyperexcitability, a hallmark of neuropathic pain. Consistent with this phenotype, we recorded enhanced responses of ACVR1^R206H iSNs to TRPV1 and TRPA1 agonists. Thus, activated ACVR1 signaling can modulate pain processing in humans and may represent a potential target for pain management in FOP and related BMP pathway diseases.

Background: We compared the effects of thoracic epidural analgesia (TEA) to conventional patient‐controlled analgesia (PCA) on several postoperative parameters of recovery after elective video‐assisted thoracoscopic (VATS) lobectomy.Methods: Ninety‐eight patients undergoing elective VATS lobectomy were enrolled. The primary endpoint was pain score. Recovery of bowel function, length of stay in the postanesthesia care unit (PACU), duration of postoperative hospital stay, and complications were assessed. Continuous variables were expressed and compared between groups using either a two‐tailed Student's t or Mann‐Whitney U test. Recovery of bowel function was compared using the log‐rank test.Results: Baseline characteristics between the groups were similar. Dynamic pain scores on postoperative days (PODs) 0–2 were significantly lower in the TEA group, as were resting pain scores on PODs 1 and 2 (P < 0.05). The mean duration to first flatus (16 ± 0.7 vs. 26 ± 0.7 hours; P < 0.001) and the mean length of stay in the PACU (34 vs. 67 minutes; P = 0.027) were shorter in the TEA compared to the PCA group, respectively. The only difference in postoperative complications was regarding confusion (5 TEA vs. 18 PCA patients; P = 0.002). No difference in overall length of stay was noted.Conclusions: Compared to PCA, TEA provided better postoperative pain control after VATS lobectomy and facilitated postoperative recovery of bowel function without increasing the length of hospital stay. This beneficial effect of TEA might be attributed to the attenuation of sympathetic hyperactivation, improved analgesia, and reduced opioid use.

Purpose: Anesthesia for metabolic–bariatric surgery is challenging due to the increased risk of opioid-related adverse events. The purpose of the investigation was to assess the feasibility and efficacy of multimodal opioid-free general anesthesia with transversus abdominis plane (TAP) block for laparoscopic sleeve gastrectomy in contrast with conventional opioid-based general anesthesia. Patients and Methods: Eighty patients who underwent laparoscopic sleeve gastrectomy and eventually 71 patients included in the analysis. They were randomly divided into an opioid-based anesthesia group (control group) with sufentanil or opioid-free anesthesia (OFA) group. Esketamine, dexmedetomidine, and TAP were as part of the OFA. Sevoflurane, dexamethasone, and muscle relaxants were administered intraoperatively to all patients. The primary outcome was antiemetic rescue within 24 hours after surgery. The secondary outcomes included pain scores, analgesic needs, extubation time, complications, the hemodynamic changes, and duration of hospital stay. Results: In contrast with the control group, the need for antiemetic rescue was significantly reduced (p= 0.035). Furthermore, the visual Analog Scale (VAS) for postoperative pain was considerably lower in the OFA group (p < 0.01) than it was in the control group. There was no significant difference in the need for analgesic rescue in both groups (p= 0.155). Extubation time and post-anesthesia care unit (PACU) stay duration were equal between the two groups (p =0.328 and p =0.54). At the end of the surgery and after extubation, hemodynamic changes was more pronounced in the OFA group (p =0.027) than the control group. The length of the hospital stay was significantly shorter compared with the control group (p =0.002). Conclusion: OFA with TAP results in a significant decrease in the need for antiemetic rescue, a lower level of pain after the surgery, and a shorter hospital stay in contrast with anesthesia based on opioids.

Background: At present, the early warning of difficult airway remains fraught with challenges. Previous ultrasonic quantitative parameters have demonstrated favorable application potential in difficult airway assessment, and deep learning techniques have also exhibited satisfactory performance in the interpretation of this condition. Based on this, we aim to construct a “two-model, three-step” hierarchical strategy, develop an ultrasound image-based artificial intelligence (AI) framework for difficult airway prediction, and conduct its internal validation. Methods: In this study, we included 903 patients who underwent elective general anesthesia surgery at the Affiliated Hospital of Qingdao University between May 2024 and April 2025. 752 cases were used for model training and validation, and 151 cases served as an internal test set. Four planes of neck ultrasound images were scanned for each patient and used to develop two artificial intelligence models (based on convolutional neural networks): CL-AI for initial screening and VIDIAC-AI for secondary risk stratification. Model performance was evaluated using five-fold cross-validation and internal testing. External validation was not performed. Results: Among 903 patients, difficult laryngoscopy occurred in 189 cases (20.9%) under direct laryngoscopy and in 50 cases (5.5%) under video laryngoscopy. In the independent test set, the CL-AI model achieved an AUC of 0.86 (95% CI: 0.79–0.91), with an accuracy of 0.84, sensitivity of 0.84, specificity of 0.84, precision of 0.59, and an F1 score of 0.69. The VIDIAC-AI model achieved an AUC of 0.82 (95% CI: 0.75–0.88), with an accuracy of 0.81, sensitivity of 0.75, specificity of 0.81, precision of 0.18, and an F1 score of 0.29. Conclusions: This study proposes an ultrasound-based AI framework for risk stratification of difficult laryngoscopic exposure. The Two-Model, Three-Step decision framework is intended as a clinician decision-support tool, not an independent diagnostic method, and requires further validation in large multicenter cohorts.