Impact of introduction of point-of-care viscoelastic testing on transfusion practice in major obstetric haemorrhage
Year: 2024
Type: article
Abstract: duration and blood loss, and the eXtreme Gradient Boosting model for postoperative patient placement predictions.Results: The tool achieved an adjusted R 2 of 0.92 (CI 0.909e0.939) in predicting surgical duration (Fig. 1), adjusted R 2 of 0.66 (CI 0.649e0.671)for operative blood loss, and a receiver operating characteristic area under the curve of 0.83 (CI 0.819e0.841)for predicting postoperative ward placement.The model also includes a feedback loop from patient outcomes, ensuring continuous improvement and refinement of the tool.Important predictors of an extended surgical duration were BMI (odds ratio [OR] 5.54, CI 5.42e5.65),international normalized ratio (OR 4.74, CI 4.65e4.84),heart failure (OR 1.41, CI 1.32e1.50).Conclusions: The Pre-Anesthesia AI Tool has been developed to serve as a Software as Medical Device (SaMD) for physicians, aiding in the preoperative planning process.We believe that this ISO 13485 certified tool will contribute to improved patient outcomes and operational efficiency.Incidence of early postoperative cognitive dysfunction and overall patient and surgical risks in older patients undergoing cardiac surgery
Source: BJA Open
Authors: A. Phillips, F. Breckenridge
Language: English
Subfield: Biochemistry
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,870
OpenAlex ID: W4403289023