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Park JH, Wang C, Shin H. FDA-cleared home sleep apnea testing devices. NPJ Digit Med 2024; 7:123. [PMID: 38740907 DOI: 10.1038/s41746-024-01112-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 04/12/2024] [Indexed: 05/16/2024] Open
Abstract
The demand for home sleep apnea testing (HSAT) devices is escalating, particularly in the context of the coronavirus 2019 (COVID-19) pandemic. The absence of standardized development and verification procedures poses a significant challenge. This study meticulously analyzed the approval process characteristics of HSAT devices by the U.S. Food and Drug Administration (FDA) from September 1, 2003, to September 1, 2023, with a primary focus on ensuring safety and clinical effectiveness. We examined 58 reports out of 1046 that underwent FDA clearance via the 510(k) and de novo pathways. A substantial surge in certifications after the 2022 pandemic was observed. Type-3 devices dominated, signifying a growing trend for both home and clinical use. Key measurement items included respiration and sleep analysis, with the apnea-hypopnea index (AHI) and sleep stage emerging as pivotal indicators. The majority of FDA-cleared HSAT devices adhered to electrical safety and biocompatibility standards. Critical considerations encompass performance and function testing, usability, and cybersecurity. This study emphasized the nearly indispensable role of clinical trials in ensuring the clinical effectiveness of HSAT devices. Future studies should propose guidances that specify stringent requirements, robust clinical trial designs, and comprehensive performance criteria to guarantee the minimum safety and clinical effectiveness of HSATs.
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Affiliation(s)
- Ji Hyeun Park
- Department of Convergence Medicine, Asan Medical Center, Brain Korea 21 Project, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea
| | - Changwon Wang
- Biomedical Engineering Research Center, Asan Medical Center, Seoul, 05505, Republic of Korea
| | - Hangsik Shin
- Department of Convergence Medicine, Asan Medical Center, Brain Korea 21 Project, University of Ulsan College of Medicine, Seoul, 05505, Republic of Korea.
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Subramanian H, Fuchsova V, Elder E, Brand A, Howle J, DeFazio A, Mann GJ, Amis T, Kairaitis K. Screening for obstructive sleep apnoea in post-treatment cancer patients. Cancer Rep (Hoboken) 2023; 6:e1740. [PMID: 36512174 PMCID: PMC10026305 DOI: 10.1002/cnr2.1740] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 08/31/2022] [Accepted: 10/13/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND AND AIMS For cancer patients, comorbid obstructive sleep apnea (OSA) poses additional risk to their surgical/anaesthetic outcomes, quality of life, and survival. However, OSA screening is not well-established in oncology settings. We tested two screening tools (STOP-Bang questionnaire [SBQ] and the at-home monitoring device, ApneaLink™Air), for predicting polysomnography (PSG) confirmed OSA in post-treatment cancer patients. METHODS Breast (n = 56), endometrial (n = 37) and melanoma patients (n = 50) were recruited from follow-up clinics at Westmead Hospital (Sydney, Australia). All underwent overnight PSG, 137 completed SBQ, and 99 completed ApneaLink™Air. Positive (PPV) and negative (NPV) predictive values for PSG-determined moderate-to-severe OSA and severe OSA, were calculated using an SBQ threshold ≥3 au and ApneaLink™Air apnoea-hypopnea index thresholds of ≥10, ≥15 and ≥30 events/h. RESULTS Both SBQ and ApneaLink™Air had high NPVs (92.7% and 85.2%-95.6% respectively) for severe OSA, but NPVs were lower for moderate-to-severe OSA (69.1% and 59.1%-75.5%, respectively). PPV for both tools were relatively low (all <73%). Combining both tools did not improve screening performance. CONCLUSIONS These screening tools may help identify cancer patients without severe OSA, but both are limited in identifying those with moderate-to-severe or severe OSA. PSG remains optimal for adequately identifying and managing comorbid OSA in cancer patients.
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Affiliation(s)
- Harini Subramanian
- Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, Westmead, Australia
| | - Veronika Fuchsova
- Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, Westmead, Australia
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, Australia
| | - Elisabeth Elder
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, Australia
- Breast Cancer Institute, Westmead Hospital, Westmead, Australia
| | - Alison Brand
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, Australia
- Department of Gynaecological Oncology, Westmead Hospital, Westmead, Australia
| | - Julie Howle
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, Australia
- Crown Princess Mary Cancer Centre, Westmead and Blacktown Hospitals, Blacktown, Australia
- Melanoma Institute Australia, The University of Sydney, Camperdown, Australia
| | - Anna DeFazio
- Department of Gynaecological Oncology, Westmead Hospital, Westmead, Australia
- Centre for Cancer Research, The Westmead Institute for Medical Research, Westmead, Australia
- The Daffodil Centre, The University of Sydney, Camperdown, Australia
| | - Graham J Mann
- Melanoma Institute Australia, The University of Sydney, Camperdown, Australia
- Centre for Cancer Research, The Westmead Institute for Medical Research, Westmead, Australia
- John Curtin School of Medical Research, Australian National University, Canberra, Australia
| | - Terence Amis
- Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, Westmead, Australia
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, Australia
- Department of Respiratory and Sleep Medicine, Westmead Hospital, Westmead, Australia
| | - Kristina Kairaitis
- Ludwig Engel Centre for Respiratory Research, The Westmead Institute for Medical Research, Westmead, Australia
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, Australia
- Department of Respiratory and Sleep Medicine, Westmead Hospital, Westmead, Australia
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Gender differences of clinical and polysomnographic findings with obstructive sleep apnea syndrome. Sci Rep 2021; 11:5938. [PMID: 33723369 PMCID: PMC7960714 DOI: 10.1038/s41598-021-85558-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 03/03/2021] [Indexed: 11/30/2022] Open
Abstract
Obstructive sleep apnea syndrome (OSAS) is underdiagnosed in females and gender differences in clinical and polysomnographic findings have not been widely investigated in China. We examined clinical and polysomnographic differences between males and females with OSAS in order to determine the influence of gender on clinical presentation and polysomnographic features. Data were collected from 303 adult patients diagnosed with OSAS (237 males and 66 females) from 2017 to 2019. All the patients completed physical examination, Epworth sleepiness scale, and whole night polysomnography. AVONA, univariate and multivariate logistic regression analyses were conducted to assess gender differences of clinical and polysomnographic findings with OSAS. P < 0.05 was statistically significant. The average age was 48.4 ± 12.6 years for females and 43.4 ± 12.4 years for males. Compared with female patients with OSAS, male patients were taller and heavier, had higher systolic blood pressure in the morning, shorter duration of slow wave sleep, more micro-arousal events, greater AHI, and more complex sleep apnea events. There are obvious gender differences of clinical and polysomnographic characteristics with OSAS. Understanding gender differences will contribute to better clinical recognition of OSAS in females as well as the provision of proper health care and therapeutic practice.
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Van Steenkiste T, Groenendaal W, Dreesen P, Lee S, Klerkx S, de Francisco R, Deschrijver D, Dhaene T. Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning. IEEE J Biomed Health Inform 2020; 24:2589-2598. [DOI: 10.1109/jbhi.2020.2967872] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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