{"id":4372,"date":"2025-04-09T11:27:20","date_gmt":"2025-04-09T02:27:20","guid":{"rendered":"https:\/\/bionauts.jp\/?p=4372"},"modified":"2025-04-11T06:18:11","modified_gmt":"2025-04-10T21:18:11","slug":"monitoring-device-for-early-prediction-of-laryngospasm-during-general-anesthesia","status":"publish","type":"post","link":"https:\/\/bionauts.jp\/?p=4372","title":{"rendered":"Monitoring Device for Early Prediction of Laryngospasm During General Anesthesia"},"content":{"rendered":"<h3>Advantage and Core Benefit<\/h3>\n<ul>\n<li>Predicts ventilatory difficulty events over one minute before onset using time-series data from routinely monitored intraoperative physiological parameters.<\/li>\n<li>Machine learning model developed using data from approximately 460 pediatric patients.<\/li>\n<li>Addresses a significant clinical need for safe airway management in pediatric general anesthesia with supraglottic airway devices (SGAs).<\/li>\n<\/ul>\n<h3>Background and Technology<\/h3>\n<p>Supraglottic airway devices (SGAs) are commonly used for airway management during general anesthesia. Compared to tracheal intubation, SGAs are less invasive and are associated with fewer hemodynamic responses and postoperative complications. They are frequently used for minor surgeries involving the limbs or superficial tissues.<br \/>\nHowever, inadequate anesthesia during SGA use can lead to laryngospasm\u2014a protective airway reflex triggered by pain or secretions\u2014especially in children. Laryngospasm may result in complete airway obstruction, causing ventilation difficulty, hypoxemia (SpO\u2082 &lt; 90%), and potentially cardiac arrest. The incidence of laryngospasm is higher in children, particularly those with upper respiratory infections or when managed by less experienced anesthesiologists.<br \/>\nAlthough several technologies aim to detect hypoxemia, there is limited reaction time once it occurs. Therefore, early prediction and prevention of the preceding event\u2014ventilatory difficulty\u2014is highly desirable.<\/p>\n<p>The research team hypothesized that changes in vital signs and airway compliance could signal impending ventilatory difficulty. They developed a machine learning model that uses intraoperative time-series physiological data\u2014including indicators of sympathetic activity and respiratory status\u2014to predict such events. Two board-certified anesthesiologists reviewed surgical data, ventilation settings, and clinical notes to identify events of ventilatory difficulty. The model was trained in approximately 460 pediatric cases and validated on around 120 additional cases. It achieved a sensitivity of approximately 60% for detecting ventilatory difficulty within the window from 5 to 1 minute before onset, with a low false positive rate.<\/p>\n<h3>Data<\/h3>\n<ul>\n<li>The prediction model was evaluated using archived time-series monitoring data. The model using clinically important features identified by experienced anesthesiologists\u2014heart rate (HR), systolic blood pressure (SBP), end-tidal CO\u2082 (EtCO\u2082), peak inspiratory pressure (PIP), tidal volume (TV), and minute ventilation (MV)\u2014achieved a true positive rate (TPR) of 57% and a false positive rate (FPR) of 0.65 events per hour.<\/li>\n<\/ul>\n<h3>Patent &amp; Publication<\/h3>\n<p>Toshiyuki Nakanishi et al., The 38th Annual Conference of the Japanese Society for Artificial Intelligence (2024)<br \/>\nDOI: <a href=\"https:\/\/www.jstage.jst.go.jp\/article\/pjsai\/JSAI2024\/0\/JSAI2024_1K3GS1002\/_article\/-char\/en\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.11517\/pjsai.JSAI2024.0_1K3GS1002<\/a><\/p>\n<h3>Researcher<\/h3>\n<p>Dr. Toshiyuki Nakanishi (Nagoya City University)<\/p>\n<h3>Expectations<\/h3>\n<p>We are seeking collaboration with companies involved in anesthesia-related equipment and monitoring systems to co-develop this program. We envision its integration into intraoperative monitoring systems with a dedicated mode for supraglottic airway device use. Meetings with the principal investigator can be arranged upon request.<\/p>\n<p>&nbsp;<\/p>\n<p>Project ID: WL-04937<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Real-time prediction of ventilatory difficulty under general anesthesia with SGA<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[1],"tags":[],"categories_of_inventions":[48],"disease_categories___indication":[],"asset_type":[],"development_phase":[],"medicine":[],"other_than_medicine":[141,142],"material":[],"engineering":[157,156],"software_it":[158,159],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/bionauts.jp\/index.php?rest_route=\/wp\/v2\/posts\/4372"}],"collection":[{"href":"https:\/\/bionauts.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bionauts.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4372"}],"version-history":[{"count":2,"href":"https:\/\/bionauts.jp\/index.php?rest_route=\/wp\/v2\/posts\/4372\/revisions"}],"predecessor-version":[{"id":4374,"href":"https:\/\/bionauts.jp\/index.php?rest_route=\/wp\/v2\/posts\/4372\/revisions\/4374"}],"wp:attachment":[{"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4372"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4372"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4372"},{"taxonomy":"categories_of_inventions","embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories_of_inventions&post=4372"},{"taxonomy":"disease_categories___indication","embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fdisease_categories___indication&post=4372"},{"taxonomy":"asset_type","embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fasset_type&post=4372"},{"taxonomy":"development_phase","embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fdevelopment_phase&post=4372"},{"taxonomy":"medicine","embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedicine&post=4372"},{"taxonomy":"other_than_medicine","embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fother_than_medicine&post=4372"},{"taxonomy":"material","embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmaterial&post=4372"},{"taxonomy":"engineering","embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fengineering&post=4372"},{"taxonomy":"software_it","embeddable":true,"href":"https:\/\/bionauts.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fsoftware_it&post=4372"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}