首页> 外国专利> SYSTEMS AND METHODS FOR AUTOMATED PREDICTION OF RISK FOR PERIOPERATIVE COMPLICATIONS BASED ON THE LEVEL OF OBSTRUCTIVE SLEEP APNEA

SYSTEMS AND METHODS FOR AUTOMATED PREDICTION OF RISK FOR PERIOPERATIVE COMPLICATIONS BASED ON THE LEVEL OF OBSTRUCTIVE SLEEP APNEA

机译:基于阻塞性睡眠呼吸暂停水平自动预测围手术期并发症风险的系统和方法

摘要

A system for predicting risk for perioperative complications is described including a user device for receiving a set of risk factors to determine perioperative complications for a patient including patient data useful to determine the likelihood of obstructive sleep apnea. The system also includes an acquisition module to receive data from an obstructive sleep apnea sleep study of the patient. Further a determination module can determine the severity of obstructive sleep apnea for the patient. The system can also include an analysis module having a predictive model that incorporates one or more prediction equations for predicting perioperative complications derived from one or more databases having multiple patient data relevant to predict perioperative complications. The analysis module can be configured to apply the one or more prediction equations to the set of risk factors and the severity of obstructive sleep apnea for the patient in order to identify perioperative complication risks of that patient and to generate a perioperative complications report for the patient.
机译:描述了一种用于预测围手术期并发症的风险的系统,该系统包括用于接收一组风险因素以确定用于患者的围手术期并发症的用户设备,该用户因素包括用于确定阻塞性睡眠呼吸暂停的可能性的患者数据。该系统还包括采集模块,以从患者的阻塞性睡眠呼吸暂停睡眠研究中接收数据。此外,确定模块可以确定患者的阻塞性睡眠呼吸暂停的严重程度。该系统还可以包括具有预测模型的分析模块,该预测模型结合了一个或多个预测方程式,用于从一个或多个数据库中获得用于预测围手术期并发症的数据库,该数据库具有与预测围手术期并发症相关的多个患者数据。分析模块可以被配置为将一个或多个预测方程式应用于该组患者的危险因素和阻塞性睡眠呼吸暂停的严重程度,以便识别该患者的围手术期并发症风险并生成该患者的围手术期并发症报告。

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