Background: The incidence of postoperative recall under total intravenous anesthesia (TIVA) is not yet fully established. Avoidance of inhalational agent is a known risk factor for awareness. In addition, lack of reliable technique to monitor drug concentration needed for adequate depth of anesthesia makes TIVA challenging. Hence, we intend to evaluate our standard anesthesia practice for postoperative recall.
Methodology: This questionnaire-based observational study was done over the period of 2 years. We enrolled 1080 adult (American Society of Anesthesiologists physical status Class I or II) patients undergoing TIVA for Endoscopic retrograde cholangiopancreatography (ERCP). All patients received fentanyl, midazolam and propofol-based anesthesia. Manual boluses of propofol were given to achieve adequate sedation. (Ramsay sedation scale of 5) in accordance with clinical signs as judged by the primary anesthesiologist. Postoperatively within 12-24 h, patients were assessed for recall using Brice questionnaire. Primary outcome was number of patients reporting postoperative recall in the Brice interview. Secondary outcome was the incidence of dreaming.
Results: On postoperative interview, none of the patients reported awareness. 12.5% of patients had dreams which were pleasant. None of the dreams was unpleasant. The worst thing about surgery was pain.
Conclusion: Our study suggests that if adequate doses of propofol are adhered to and necessary action is taken against responses indicating wakefulness, postoperative recall under TIVA is an uncommon occurrence.
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http://dx.doi.org/10.4103/aer.aer_126_21 | DOI Listing |
J Sex Med
January 2025
Department of Plastic, Aesthetic & Reconstructive Surgery, Tenon Hospital, 75020 Paris, France.
Background: Demand for gender-affirming surgery (GAS) is rising. The main objective of this surgery is the creation of a perineo-genital complex that appears and functions as femininely as possible, with a sensitive clitoris and a vagina capable of receptive intercourse. Penile skin inversion is currently regarded as the gold standard technique.
View Article and Find Full Text PDFJ Pediatr (Rio J)
January 2025
Department of General Surgery and Neonatal Surgery, Liangjiang Wing, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China. Electronic address:
Objective: This study aimed to develop a predictive model using a random forest algorithm to determine the likelihood of postoperative adhesive small bowel obstruction (ASBO) in infants under 3 months with intestinal malrotation.
Methods: A machine learning model was used to predict postoperative adhesive small bowel obstruction using comprehensive clinical data extracted from 107 patients with a follow-up of at least 24 months. The Boruta algorithm was used for selecting clinical features, and nested cross-validation tuned and selected hyper-parameters for the random forest model.
J Med Internet Res
December 2024
Guangzhou Cadre and Talent Health Management Center, Guangzhou, China.
Background: Large language models have shown remarkable efficacy in various medical research and clinical applications. However, their skills in medical image recognition and subsequent report generation or question answering (QA) remain limited.
Objective: We aim to finetune a multimodal, transformer-based model for generating medical reports from slit lamp images and develop a QA system using Llama2.
PLoS One
December 2024
College of Interdisciplinary Studies, Thammasat University, Pathum Thani, Thailand.
This study aimed to evaluate the performance of a deep learning-based segmentation model for predicting outcomes of non-surgical endodontic treatment. Preoperative and 3-year postoperative periapical radiographic images of each tooth from routine root canal treatments performed by endodontists from 2015 to 2021 were obtained retrospectively from Thammasat University hospital. Preoperative radiographic images of 1200 teeth with 3-year follow-up results (440 healed, 400 healing, and 360 disease) were collected.
View Article and Find Full Text PDFFront Cardiovasc Med
December 2024
Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Background: Coronary artery bypass grafting (CABG) surgery has been a widely accepted method for treating coronary artery disease. However, its postoperative complications can have a significant effect on long-term patient outcomes. A retrospective study was conducted to identify before and after surgery that contribute to postoperative stroke in patients undergoing CABG, and to develop predictive models and recommendations for single-factor thresholds.
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