{"title":"如何评定阻塞性睡眠呼吸暂停的严重程度指数","authors":"Gonzalo Labarca , Mario Henríquez-Beltrán","doi":"10.1016/j.rmclc.2024.05.006","DOIUrl":null,"url":null,"abstract":"<div><p>Currently, obstructive sleep apnea (OSA) is defined as having an apnea-hypopnea index (AHI) of 5 events per hour. The AHI is based on the frequency of respiratory events over time and is used to predict disease severity and guide therapeutic interventions. However, the AHI fails to capture the substantial heterogeneity present in OSA, including patterns of hypoxemia, sympathetic response, and gender differences. In recent years, multiple metrics derived from pulse oximeter signals, heart rate, electroencephalogram, and ventilation signals have been described. This article will focus on those metrics that have been validated through external studies and possess greater clinical relevance.</p></div>","PeriodicalId":31544,"journal":{"name":"Revista Medica Clinica Las Condes","volume":"35 3","pages":"Pages 273-280"},"PeriodicalIF":0.2000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0716864024000373/pdfft?md5=8518e80cd5b46f673eb24b07c09f8506&pid=1-s2.0-S0716864024000373-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Cómo calificar el índice de gravedad en la apnea obstructiva del sueño\",\"authors\":\"Gonzalo Labarca , Mario Henríquez-Beltrán\",\"doi\":\"10.1016/j.rmclc.2024.05.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Currently, obstructive sleep apnea (OSA) is defined as having an apnea-hypopnea index (AHI) of 5 events per hour. The AHI is based on the frequency of respiratory events over time and is used to predict disease severity and guide therapeutic interventions. However, the AHI fails to capture the substantial heterogeneity present in OSA, including patterns of hypoxemia, sympathetic response, and gender differences. In recent years, multiple metrics derived from pulse oximeter signals, heart rate, electroencephalogram, and ventilation signals have been described. This article will focus on those metrics that have been validated through external studies and possess greater clinical relevance.</p></div>\",\"PeriodicalId\":31544,\"journal\":{\"name\":\"Revista Medica Clinica Las Condes\",\"volume\":\"35 3\",\"pages\":\"Pages 273-280\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2024-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0716864024000373/pdfft?md5=8518e80cd5b46f673eb24b07c09f8506&pid=1-s2.0-S0716864024000373-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Revista Medica Clinica Las Condes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0716864024000373\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Medica Clinica Las Condes","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0716864024000373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
摘要
目前,阻塞性睡眠呼吸暂停(OSA)的定义是呼吸暂停-低通气指数(AHI)达到每小时 5 次。AHI 基于呼吸事件随时间变化的频率,用于预测疾病的严重程度并指导治疗干预。然而,AHI 无法捕捉 OSA 中存在的大量异质性,包括低氧血症模式、交感神经反应和性别差异。近年来,从脉搏血氧仪信号、心率、脑电图和通气信号中衍生出了多种指标。本文将重点介绍那些已通过外部研究验证并具有更大临床意义的指标。
Cómo calificar el índice de gravedad en la apnea obstructiva del sueño
Currently, obstructive sleep apnea (OSA) is defined as having an apnea-hypopnea index (AHI) of 5 events per hour. The AHI is based on the frequency of respiratory events over time and is used to predict disease severity and guide therapeutic interventions. However, the AHI fails to capture the substantial heterogeneity present in OSA, including patterns of hypoxemia, sympathetic response, and gender differences. In recent years, multiple metrics derived from pulse oximeter signals, heart rate, electroencephalogram, and ventilation signals have been described. This article will focus on those metrics that have been validated through external studies and possess greater clinical relevance.