{"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}
引用次数: 0
Abstract
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.