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1.
J Clin Sleep Med ; 19(8): 1429-1435, 2023 08 01.
Article in English | MEDLINE | ID: mdl-37078187

ABSTRACT

STUDY OBJECTIVES: The objective of this study was to independently validate a disposable and a reusable home sleep apnea test (HSAT) recording on peripheral arterial tonometry, compared to laboratory polysomnography (PSG), for the diagnosis of obstructive sleep apnea (OSA). METHODS: 115 participants undergoing PSG for suspected OSA were recruited and fitted with the two study devices (NightOwl, Ectosense, Belgium). After exclusions were applied and device failures were removed, data from 100 participants were analyzed. HSAT-derived apnea-hypopnea index (AHI), OSA severity category, total sleep time, and oxygen desaturation index 3% were compared to PSG. RESULTS: Both study devices demonstrated satisfactory levels of agreement with minimal mean bias for determination of AHI and oxygen desaturation index 3% (disposable: AHI mean bias 2.04 events/h [95% limits of agreement -20.9 to 25.0], oxygen desaturation index 3% mean bias -0.21/h [-18.1 to 17.7]; reusable: AHI mean bias 2.91 events/h [-16.9 to 22.7], oxygen desaturation index 3% mean bias 0.77/h [-15.7 to 17.3]). Level of agreement diminished at higher AHI levels although misclassification for severe OSA occurred infrequently. Total sleep time level of agreement for the reusable HSAT was also satisfactory with minimal mean bias (4.18 minutes, -125.1 to 112.4), but the disposable HSAT was impacted by studies with high signal rejection (23.7 minutes, -132.7 to 180.1). Categorization of OSA severity demonstrated moderate agreement with laboratory PSG, with a kappa of 0.52 and 0.57 for the disposable and reusable HSATs respectively. CONCLUSIONS: The two HSAT devices were comparable and performed well compared to laboratory PSG for the diagnosis of OSA. CLINICAL TRIAL REGISTRATION: Registry: Australian New Zealand Clinical Trials Registry; Identifier: ANZCTR12621000444886. CITATION: Lyne CJ, Hamilton GS, Turton ARE, et al. Validation of a single-use and reusable home sleep apnea test based on peripheral arterial tonometry compared to laboratory polysomnography for the diagnosis of obstructive sleep apnea. J Clin Sleep Med. 2023;19(8):1429-1435.


Subject(s)
Sleep Apnea, Obstructive , Humans , Polysomnography , Australia , Sleep Apnea, Obstructive/diagnosis , Manometry , Oxygen
3.
Chemosphere ; 271: 129429, 2021 May.
Article in English | MEDLINE | ID: mdl-33445015

ABSTRACT

With the potentially fatal effect of COVID-19 and its devastating impact on economies worldwide, some environmental scientist has suggested the use of waste from household sewage to trace the movement of SARS-CoV-2, within a given country. However, this approach is not without challenges where developing countries lack proper and adequate hygiene and sanitation, resulting in widespread defecation. Limited scientific research has been done to determine how many times a recently infected person can defecate and the quantification of SARS-CoV-2 found in a single expel. On the other hand, there is no detailed research to specify where the heavy viral load of SARS-CoV-2 can be found in human excreta. In this paper, we present some obstacles that this approach could face in the absence of an intense lockdown in developing nations such as sub-Saharan countries. To achieve this, we identify some research needs that will strengthen our understanding of the transmission, occurrence, and persistence of SARS-CoV-2 in sewage and wastewater, including the life-span that depends on temperature. A methodology to follow in the process of identifying a hotspot on a small scale using some mathematical distributions, including the normal distribution, log-normal distribution, and the most complex one known as Blancmange function, was presented with some examples. Our investigation showed that this method might have some challenges, especially in developing countries (sub-Sahara countries) where open latrine usage is very high. Some recommendations we suggested to ensure the efficiency of such a method on a small scale. However, in general, it is essential to note the extraction/detection method will not help more than the testing method used all over the world to trace SARS-CoV-2 -19 in humans.


Subject(s)
COVID-19 , Wastewater , Communicable Disease Control , Humans , SARS-CoV-2 , Sewage
4.
Sleep Breath ; 17(1): 139-46, 2013 Mar.
Article in English | MEDLINE | ID: mdl-22318784

ABSTRACT

PURPOSE: Obstructive sleep apnea (OSA) may be associated with increased energy expenditure (EE) during sleep. As actigraphy is inaccurate at estimating EE from body movement counts alone, we aimed to compare a multiple physiological sensor with polysomnography for determination of sleep and wake, and to test the hypothesis that OSA is associated with increased EE during sleep. METHODS: We studied 50 adults referred for routine overnight polysomnography. In addition to polysomnography, the SenseWear Pro3 Armband(TM) (Bodymedia Inc.) was placed on the upper right arm. Epoch-by-epoch agreement rate between the measures of sleep versus wake was calculated. Linear regression analyses were performed for EE against apnea-hypopnea index (AHI), 3% oxygen desaturation index (ODI), body mass index (BMI), waist-hip ratio (WHR), gender, age, and average heart rate during sleep. RESULTS: The epoch-by-epoch agreement rate was high (79.9 ± 1.6%) and the ability of the SenseWear to estimate sleep was very good (sensitivity, 88.7 ± 1.5%). However, it was less accurate in determining wake (specificity 49.9 ± 3.6%). Sleep EE was associated with AHI, 3% ODI, BMI, WHR, and male gender (p < 0.001 for all). Stepwise multiple linear regression however revealed that BMI, male gender, age, and average heart rate during sleep were independent predictors of EE (Model R (2) = 0.78). CONCLUSIONS: The SenseWear armband provides a reasonable estimation of sleep but a poor estimation of wake. Furthermore, in a selected population of OSA patients, increasing OSA severity is associated with increased EE during sleep, although primarily through an association with increased BMI. However, as our data are not adjusted for fat-free mass and the SenseWear has yet to be validated for EE in OSA patients, these data should be interpreted with caution.


Subject(s)
Actigraphy/instrumentation , Energy Metabolism/physiology , Polysomnography/instrumentation , Sleep Apnea, Obstructive/physiopathology , Sleep Stages/physiology , Wakefulness/physiology , Adult , Age Factors , Arousal/physiology , Body Mass Index , Equipment Design , Female , Heart Rate/physiology , Humans , Male , Middle Aged , Oxygen/blood , Predictive Value of Tests , Sex Factors , Waist-Hip Ratio , Work of Breathing/physiology
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