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临床试验/NCT04366193
NCT04366193Unknown不适用

Validation of a High-resolution Oximeter Using a Cloud-based Algorithm to Diagnose Obstructive Sleep Apnea

University of Sao Paulo General Hospital1 个研究点 分布在 1 个国家目标入组 500 人开始时间: 2019年12月12日最近更新:
适应症

试验速览

阶段
不适用
入组人数
500
试验地点
1
主要终点
Diagnostic accuracy of high-resolution oximetry for OSA

研究概览

简要总结

The aim of this study was to compare an overnight digital monitoring device (ODM) with home sleep apnea testing (HSAT) using respiratory flow and effort parameters in a large population sample, who were in a waiting list for Polysomnography (PSG).

详细描述

Obstructive Sleep Apnea (OSA) is extremely common has prompted the popularization of home sleep test (HST). HST record a limited number of respiratory signals, provide a more comfortable testing option to the patient at a lower cost. HST has a performance as good as PSG among patients with suspected OSA and no significant co-morbidities.

Our study was designed to investigate the performance of a simple solution that consists of a high-resolution wireless oximeter with a built-in accelerometer linked to a smartphone application and automated cloud algorithm for detection of oxygen desaturation, described herein as Overnight Digital Monitoring (ODM) (BilogixTM). We will compare the results of ODM with HST performed by ApneaLink Air by Resmed®.

We have already compared ODM to PSG with excellent results in a prior study and intend to see the results in uncontrolled environment (home) .

Population: Men and women from the São Paulo Department of Health, who are awaiting examination for diagnosis of OSAS.We intend to compare the ODM with the HST. Patients with indication for CPAP titration will be excluded. The participants will wear a wireless oximeter (Oxistar, Biologix Sistemas Ltda., Brazil) with a built-in accelerometer on a finger of the same hand as the HST oximeter and we will compare both methods for diagnosing OSA.

All HST studies will be scored by 2 independent certified technicians blinded to the ODM results. Hypopnea will be defined as a peak signal excursion drop by ≥ 30% of pre-event baseline nasal pressure signal lasting ≥ 10 sec. Hypopneas will be scored according the acceptable AASM criteria for hypopnea (≥ 4% reduction in SpO2). Mild, moderate and severe OSA will be defined according to the current standards (5 ≤ AHI <15; 15 ≤ AHI <30 and AHI ≥30 events/h, respectively).ODI results from ODM will be expressed as the number of desaturations per recording time and will be automatically analyzed at the cloud. In order to compare with TST-AHI4%, ODM will be matched using 4% desaturation criteria (ODM-ODI4%, respectively).

研究设计

研究类型
Observational
观察模型
Other
时间视角
Prospective

入排标准

年龄范围
18 Years 至 100 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Adult ambulatory patients who are in a waiting list for polysomnography that are able to properly place the oximeter and home sleep test at home

排除标准

  • patients under treatment for OSA

结局指标

主要结局

Diagnostic accuracy of high-resolution oximetry for OSA

时间窗: single night

Accuracy will be tested against home sleep test using ROC, sensitivity and specificity

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Geraldo Lorenzi Filho

Associate Professor

University of Sao Paulo General Hospital

研究点 (1)

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