Results 81 to 90 of about 2,716,125 (274)

Postoperative Nausea and Vomiting: Validation of the Portuguese Version of the Postoperative Nausea and Vomiting Intensity Score

open access: yesBrazilian Journal of Anesthesiology, 2013
Background and objectives: The Postoperative Nausea and Vomiting (PONV) Intensity Scale was developed to define clinically important PONV. The aim of this study was to translate, retranslate and validate the PONV Intensity Scale for use in Portuguese Post
Veiga Dalila   +5 more
doaj  

Adjuvants as Part of Anaesthetic Care in Prevention of Postoperative Nausea and Vomiting

open access: yesОбщая реаниматология, 2013
Study Objective: to assess the efficacy and safety of different combinations of antiemetic drugs and adjuvants as part of anesthetic care in prevention of postoperative nausea and vomiting in oncological patients.
D. S. Baskakov, V. E. Khoronenko
doaj   +1 more source

Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder [PDF]

open access: yesarXiv, 2018
This paper proposes a new objective metric of exceptional motion in VR video contents for VR sickness assessment. In VR environment, VR sickness can be caused by several factors which are mismatched motion, field of view, motion parallax, viewing angle, etc.
arxiv  

CYP2D6 basic genotyping as a potential tool to improve the antiemetic efficacy of ondansetron in prophylaxis of postoperative nausea and vomiting.

open access: yesAdvances in Clinical and Experimental Medicine, 2018
BACKGROUND Postoperative nausea and vomiting (PONV) is a common complication after anesthesia and surgery. Ondansetron is one of the most widely used drugs in the prophylaxis of PONV and is extensively metabolized in humans.
P. Niewiński   +6 more
semanticscholar   +1 more source

Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks [PDF]

open access: yesarXiv, 2020
Accurate prediction of postoperative complications can inform shared decisions regarding prognosis, preoperative risk-reduction, and postoperative resource use. We hypothesized that multi-task deep learning models would outperform random forest models in predicting postoperative complications, and that integrating high-resolution intraoperative ...
arxiv  

Effect of the Dexamethasone-Ondansetron Combination Versus Dexamethasone-Aprepitant Combination to Prevent Postoperative Nausea and Vomiting.

open access: yesTurkish Journal of Anaesthesiology and Reanimation, 2018
Objective Postoperative nausea and vomiting (PONV) is a common problem associated with general anaesthesia. The incidence can be as high as 80% in high-risk patients.
S. Bilgen   +5 more
semanticscholar   +1 more source

Treatment of postoperative nausea and vomiting [PDF]

open access: yesBMJ, 2003
Better data, improved control have been achieved during recent years Postoperative nausea and vomiting is a nuisance. The anaesthetist is usually blamed, despite evidence that postoperative nausea and vomiting results from several factors, some related to anaesthesia, others to surgery, and some to the patients themselves.
openaire   +3 more sources

Evaluating the Effect of Intravenous Haloperidol and Midazolam on Postoperative Nausea and Vomiting after Strabismus Surgery

open access: yesمجله دانشکده پزشکی اصفهان, 2014
Background: Usage of midazolam and haloperidol for prevention of postoperative nausea and vomiting has been considered before. Purpose of this study was to evaluate the anti-emetic effect of combination of haloperidol with midazolam on postoperative ...
Omid Aghadavoudi, Mojdeh Mirkheshti
doaj  

A Quest for the Structure of Intra- and Postoperative Surgical Team Networks: Does the Small World Property Evolve over Time? [PDF]

open access: yesarXiv, 2018
We examined the structure of intra- and postoperative case-collaboration networks among the surgical service providers in a quaternary-care academic medical center, using retrospective electronic medical record (EMR) data. We also analyzed the evolution of the network properties over time, as changes in nodes and edges can affect the network structure.
arxiv  

A Novel Generative Multi-Task Representation Learning Approach for Predicting Postoperative Complications in Cardiac Surgery Patients [PDF]

open access: yesJ. Am. Med. Inform. Assoc. (2024) ocae316
Early detection of surgical complications allows for timely therapy and proactive risk mitigation. Machine learning (ML) can be leveraged to identify and predict patient risks for postoperative complications. We developed and validated the effectiveness of predicting postoperative complications using a novel surgical Variational Autoencoder (surgVAE ...
arxiv   +1 more source

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