Novel Analgesic Index for Postoperative Pain Assessment Based on a Photoplethysmographic Spectrogram and Convolutional Neural Network: Observational Study.

Background: Although commercially available analgesic indices based on biosignal processing have been used to quantify nociception during general anesthesia, their performance is low in conscious patients. Therefore, there is a need to develop a new analgesic index with improved performance to quantify postoperative pain in conscious patients.

Objective: This study aimed to develop a new analgesic index using photoplethysmogram (PPG) spectrograms and a convolutional neural network (CNN) to objectively assess pain in conscious patients.

Anesthetic management for a patient with severe mento-sternal contracture: difficult airway and scarce venous access -A case report-.

There are many problems in the anesthetic management of patients with scar contracture. In this case, a 41-year-old male with severe scar contracture on his face, neck, anterior chest, and both shoulders underwent surgery for resurfacing with flaps. We tried to awake fiberoptic orotracheal intubation with GlideScope® Video laryngoscope guide after surgical release of contracture under local anesthesia.

Proposing a scoring system for the research criteria of complex regional pain syndrome.

This study evaluated the structure of complex regional pain syndrome (CRPS) population and suggested a weighted scoring system to balance on objective signs. One hundred sixty-eight consecutive patients were evaluated using the Budapest Research Criteria (BRC). By using multidimensional scaling and logistic regression analysis, we analyzed the degree of importance and relationships between objective findings.