Study Objective: We evaluated the perioperative analgesic effects of the inter-semispinal plane (ISP) block in patients undergoing posterior cervical spine surgery.
Design: Prospective, randomized, controlled, double-blinded trial.
Setting: Operating room and surgical ward.
Patients: 60 patients aged 18-60 years of either gender, ASA I-II, undergoing elective posterior cervical spine surgery.
Interventions: Patients were randomly assigned into a control group (general anesthesia only), ISP group received bilateral ultrasound guided ISP block at the level of C5 using 20 ml bupivacaine 0.25% on each side.
Measurements: Visual analog scale (VAS), intraoperative fentanyl and 24 h postoperative pethidine consumptions and time to first rescue analgesic request were documented.
Main Results: The median (quartiles) of 24 h postoperative rescue pethidine consumption was significantly lower in the ISP group [0 (0-46.25) mg] compared to that of the control group [143 (116.75-169.00) mg]; P < 0.001). VAS was significantly lower in the ISP group at 30 min, 1 h, 2 h,4 h, 6 h, 8 h and 12 h postoperative compared to control group (P < 0.05). At 18 and 24 h, VAS was not significantly different between groups. The median (quartiles) of intraoperative fentanyl consumption in the ISP group [0 (0-40.75) μg] was significantly lower compared to that of the control group [63.5 (39.5-90.25) μg]; P < 0.001]. The time to first rescue analgesic administration was significantly longer in the ISP group compared to the control group (P < 0.001).
Conclusion: Bilateral ultrasound-guided ISP block can provide decreased 24 h postoperative analgesic consumption as well as lower pain scores in the first 12 postoperative hours in patients undergoing posterior cervical spine surgery.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jclinane.2022.110974 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Narrative mobile video game-based cognitive training to enhance frontal function in patients with mild cognitive impairment.
Sci Rep
January 2025
Nunaps Inc., Seoul, Korea.
Although cognitive training has been proposed as a possible therapeutic modality for mild cognitive impairment (MCI), most serious games focus on specific tasks. This study aimed to investigate the feasibility and efficacy of narrative video game-based cognitive intervention for MCI. A four-week (± 1-week) mobile game intervention was given to 17 MCI participants (mean age (SD) = 72.
View Article and Find Full Text PDFA novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients.
Comput Biol Med
January 2025
Department of Electrical Engineering, Qatar University, Doha 2713, Qatar. Electronic address:
Article Synopsis
- Sepsis is a critical global health issue caused by the body's reaction to infection, significantly impacting patient health and healthcare costs in the U.S.
- This study presents a new machine learning model that effectively predicts sepsis using diverse datasets from over 40,000 patients, focusing on vital signs and lab results.
- Results indicated that the combination of stacking ML models with advanced data-splitting techniques improved prediction accuracy, with peaks in F1 scores using COPULA augmentation, outperforming previous methods and underscoring its potential for early sepsis detection in clinical settings.
PPG2RespNet: a deep learning model for respirational signal synthesis and monitoring from photoplethysmography (PPG) signal.
Phys Eng Sci Med
December 2024
Department of Electrical Engineering, Qatar University, Doha, 2713, Qatar.
Breathing conditions affect a wide range of people, including those with respiratory issues like asthma and sleep apnea. Smartwatches with photoplethysmogram (PPG) sensors can monitor breathing. However, current methods have limitations due to manual parameter tuning and pre-defined features.
View Article and Find Full Text PDFNovel Hybrid Quantum Architecture-Based Lung Cancer Detection Using Chest Radiograph and Computerized Tomography Images.
Bioengineering (Basel)
August 2024
Intelligent Signal Processing (ISP) Research Lab, Department of Electronics and Communication Engineering, Kuwait College of Science and Technology, Block 4, Doha 13133, Kuwait.
Lung cancer, the second most common type of cancer worldwide, presents significant health challenges. Detecting this disease early is essential for improving patient outcomes and simplifying treatment. In this study, we propose a hybrid framework that combines deep learning (DL) with quantum computing to enhance the accuracy of lung cancer detection using chest radiographs (CXR) and computerized tomography (CT) images.
View Article and Find Full Text PDFPreclinical proof of principle for orally delivered Th17 antagonist miniproteins.
Cell
August 2024
Department of Biochemistry, University of Washington, Seattle, WA 98195, USA; Institute for Protein Design, University of Washington, Seattle, WA 98195, USA; Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195, USA. Electronic address:
Interleukin (IL)-23 and IL-17 are well-validated therapeutic targets in autoinflammatory diseases. Antibodies targeting IL-23 and IL-17 have shown clinical efficacy but are limited by high costs, safety risks, lack of sustained efficacy, and poor patient convenience as they require parenteral administration. Here, we present designed miniproteins inhibiting IL-23R and IL-17 with antibody-like, low picomolar affinities at a fraction of the molecular size.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!