Background Opioid-free anesthesia (OFA) has been proposed to reduce opioid-related adverse effects, although its impact on overall postoperative recovery remains uncertain. We evaluated whether OFA improves postoperative quality of recovery compared with opioid-based anesthesia (OA) in elderly patients undergoing laparoscopic abdominal surgery. Methods In this single-center randomized controlled trial, 200 patients aged ≥60 years undergoing elective laparoscopic abdominal surgery were randomized to receive either OFA (dexmedetomidine, esketamine, and lidocaine) or conventional OA. The primary outcome was quality of recovery measured using the QoR-15 questionnaire at 24 h after surgery. Secondary outcomes included postoperative nausea and vomiting (PONV), pain scores, opioid consumption, gastrointestinal recovery, sleep quality, chronic postsurgical pain, hemodynamic events, extubation time, PACU length of stay, and hospital length of stay. Results A total of 195 patients completed the study (OFA, n = 98; OA, n = 97). QoR-15 scores at 24 h were higher in the OFA group (110 ± 12 vs. 106 ± 15, mean difference 4 points, 95% CI 2–8; p = 0.002). However, the observed difference was below the prespecified threshold for clinical significance and was no longer present at 48 or 72 h. OFA reduced the incidence of PONV during the first 72 postoperative hours and modestly reduced postoperative opioid consumption. Gastrointestinal recovery occurred earlier with OFA, whereas pain scores were largely similar between groups except during the immediate PACU period. OFA was associated with longer extubation times, prolonged PACU stay, and a higher incidence of intraoperative hypertension. Hospital length of stay and postoperative delirium were similar between groups. Although chronic postsurgical pain at 3 months was less frequent in the OFA group, this secondary finding should be considered exploratory. Conclusion In elderly patients undergoing laparoscopic abdominal surgery, OFA reduced postoperative nausea and vomiting and modestly accelerated gastrointestinal recovery. However, it did not result in a clinically meaningful improvement in overall postoperative recovery as measured by the QoR-15 and was associated with delayed emergence, prolonged PACU stay, and more frequent intraoperative hypertension. These findings suggest that the principal benefit of OFA in this setting may be reduction of opioid-related adverse effects rather than substantial enhancement of global postoperative recovery.
Qianchuan Zhao, Yang Wang, Fujian Huang et al.· Frontiers in Medicine· 0 citations
Robust tensor decomposition (RTD) is designed to distinguish low-rank and sparse tensors from noisy high-dimensional data, which holds fundamental significance in the fields of machine learning and computer vision. Nevertheless, current RTD-based methods fall short in addressing the issues of automatic noise adaptation and determination of model capacity. In response to these challenges, this paper introduces a robust non-parametric Bayesian method known as the Bayesian adaptive tensor ring decomposition (BATR) method. More precisely, BATR models unknown noise using a Dirichlet process Gaussian mixture model (DP-GMM), with automatic determination of the noise components. Besides, BATR accomplishes an adaptive low tensor ring (TR) rank model by incorporating a more advanced generalized hyperbolic (GH) prior into the probabilistic framework, thereby facilitating automatic TR rank determination. Furthermore, a variational Bayesian inference algorithm is employed to update the posteriors of the model. Extensive experiments on synthetic data, color images, face images, multispectral images, and hyperspectral images demonstrate the improved performance of BATR compared to other state-of-the-art methods.
A PAC-Bayesian account in which quantum policy design is reframe around an entanglement--generalization trade-off rather than expressivity alone is given, where entangled circuits consistently generalize worse than non-entangled circuits of equal parameter count.
Jian Xu, Delu Zeng, John W. Paisley et al.· 0 citations
The contribution is accordingly not a better estimator but a characterization of \emph{when prior-based correction is justified}, plus designs that supply the missing information when it is not, plus designs that supply the missing information when it is not.
Jian Xu, Delu Zeng, John W. Paisley et al.· 0 citations