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  1. Article ; Online: CPAP Treatment of OSA and Outcomes in Patients With Melanoma: A Step Forward.

    Kaminska, Marta / Magalang, Ulysses J

    Chest

    2023  Volume 164, Issue 6, Page(s) 1354–1355

    Language English
    Publishing date 2023-12-07
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1032552-9
    ISSN 1931-3543 ; 0012-3692
    ISSN (online) 1931-3543
    ISSN 0012-3692
    DOI 10.1016/j.chest.2023.07.018
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  2. Article ; Online: Pro: Comparing adherent to non-adherent patients can provide useful estimates of the effect of CPAP on cardiovascular outcomes.

    Keenan, Brendan T / Magalang, Ulysses J / Maislin, Greg

    Sleep

    2024  

    Language English
    Publishing date 2024-03-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 424441-2
    ISSN 1550-9109 ; 0161-8105
    ISSN (online) 1550-9109
    ISSN 0161-8105
    DOI 10.1093/sleep/zsae064
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  3. Article ; Online: Night-to-night reliability and agreement of physiological endotypes: two steps forward, one step back.

    Keenan, Brendan T / Magalang, Ulysses J / Schwab, Richard J

    Sleep

    2023  Volume 46, Issue 8

    MeSH term(s) Humans ; Aged ; Polysomnography ; Reproducibility of Results ; Sleep Apnea, Obstructive
    Language English
    Publishing date 2023-06-14
    Publishing country United States
    Document type Editorial ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 424441-2
    ISSN 1550-9109 ; 0161-8105
    ISSN (online) 1550-9109
    ISSN 0161-8105
    DOI 10.1093/sleep/zsad116
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  4. Article ; Online: A Need for Understanding Clinically Meaningful Differences in Endotypes Derived From Polysomnography.

    Keenan, Brendan T / Magalang, Ulysses J / Schwab, Richard J

    Chest

    2023  Volume 164, Issue 5, Page(s) e160–e161

    Language English
    Publishing date 2023-11-07
    Publishing country United States
    Document type Letter
    ZDB-ID 1032552-9
    ISSN 1931-3543 ; 0012-3692
    ISSN (online) 1931-3543
    ISSN 0012-3692
    DOI 10.1016/j.chest.2023.05.032
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  5. Article ; Online: Symptom Subtypes in OSA: Ready for the Clinic?

    Magalang, Ulysses J / Keenan, Brendan T

    Chest

    2021  Volume 160, Issue 6, Page(s) 2003–2004

    MeSH term(s) Ambulatory Care Facilities ; Humans ; Polysomnography ; Sleep Apnea, Obstructive/diagnosis ; Sleep Apnea, Obstructive/epidemiology ; Sleep Apnea, Obstructive/therapy
    Language English
    Publishing date 2021-12-06
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1032552-9
    ISSN 1931-3543 ; 0012-3692
    ISSN (online) 1931-3543
    ISSN 0012-3692
    DOI 10.1016/j.chest.2021.09.022
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  6. Article ; Online: Understanding stability of obstructive sleep apnea endotypes: a step forward.

    Magalang, Ulysses J / Grant, Brydon J B

    Sleep

    2022  Volume 45, Issue 9

    MeSH term(s) Asthma ; Humans ; Phenotype ; Sleep Apnea, Obstructive
    Language English
    Publishing date 2022-08-09
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 424441-2
    ISSN 1550-9109 ; 0161-8105
    ISSN (online) 1550-9109
    ISSN 0161-8105
    DOI 10.1093/sleep/zsac174
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  7. Article ; Online: Global burden of sleep-disordered breathing and its implications.

    Lyons, M Melanie / Bhatt, Nitin Y / Pack, Allan I / Magalang, Ulysses J

    Respirology (Carlton, Vic.)

    2020  Volume 25, Issue 7, Page(s) 690–702

    Abstract: One-seventh of the world's adult population, or approximately one billion people, are estimated to have OSA. Over the past four decades, obesity, the main risk factor for OSA, has risen in striking proportion worldwide. In the past 5 years, the WHO ... ...

    Abstract One-seventh of the world's adult population, or approximately one billion people, are estimated to have OSA. Over the past four decades, obesity, the main risk factor for OSA, has risen in striking proportion worldwide. In the past 5 years, the WHO estimates global obesity to affect almost two billion adults. A second major risk factor for OSA is advanced age. As the prevalence of the ageing population and obesity increases, the vulnerability towards having OSA increases. In addition to these traditional OSA risk factors, studies of the global population reveal select contributing features and phenotypes, including extreme phenotypes and symptom clusters that deserve further examination. Untreated OSA is associated with significant comorbidities and mortality. These represent a tremendous threat to the individual and global health. Beyond the personal toll, the economic costs of OSA are far-reaching, affecting the individual, family and society directly and indirectly, in terms of productivity and public safety. A better understanding of the pathophysiology, individual and ethnic similarities and differences is needed to better facilitate management of this chronic disease. In some countries, measures of the OSA disease burden are sparse. As the global burden of OSA and its associated comorbidities are projected to further increase, the infrastructure to diagnose and manage OSA will need to adapt. The use of novel approaches (electronic health records and artificial intelligence) to stratify risk, diagnose and affect treatment are necessary. Together, a unified multi-disciplinary, multi-organizational, global approach will be needed to manage this disease.
    MeSH term(s) Age Factors ; Artificial Intelligence ; Comorbidity ; Ethnic Groups ; Global Burden of Disease ; Global Health ; Humans ; Obesity/epidemiology ; Prevalence ; Risk Factors ; Sleep Apnea Syndromes/epidemiology ; Sleep Apnea Syndromes/physiopathology ; Sleep Apnea, Obstructive/epidemiology ; Sleep Apnea, Obstructive/physiopathology
    Language English
    Publishing date 2020-05-21
    Publishing country Australia
    Document type Journal Article ; Review
    ZDB-ID 1435849-9
    ISSN 1440-1843 ; 1323-7799
    ISSN (online) 1440-1843
    ISSN 1323-7799
    DOI 10.1111/resp.13838
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    Zs.A 4957: Show issues Location:
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  8. Article ; Online: Adaptive Servo-Ventilation for Central Sleep Apnea in Heart Failure.

    Magalang, Ulysses J / Pack, Allan I

    The New England journal of medicine

    2016  Volume 374, Issue 7, Page(s) 691

    MeSH term(s) Cardiovascular Diseases/mortality ; Female ; Heart Failure, Systolic/complications ; Humans ; Male ; Positive-Pressure Respiration/methods ; Sleep Apnea, Central/therapy
    Language English
    Publishing date 2016-02-18
    Publishing country United States
    Document type Comment ; Letter
    ZDB-ID 207154-x
    ISSN 1533-4406 ; 0028-4793
    ISSN (online) 1533-4406
    ISSN 0028-4793
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  9. Article ; Online: To RCT or not to RCT? Depends on the question. A response to McEvoy et al.

    Pack, Allan I / Magalang, Ulysses J / Singh, Bhajan / Kuna, Samuel T / Keenan, Brendan T / Maislin, Greg

    Sleep

    2021  Volume 44, Issue 4

    MeSH term(s) Cardiovascular Diseases ; Humans ; Randomized Controlled Trials as Topic ; Sleep Apnea, Obstructive
    Language English
    Publishing date 2021-03-07
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 424441-2
    ISSN 1550-9109 ; 0161-8105
    ISSN (online) 1550-9109
    ISSN 0161-8105
    DOI 10.1093/sleep/zsab042
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  10. Article ; Online: Scoring sleep with artificial intelligence enables quantification of sleep stage ambiguity: hypnodensity based on multiple expert scorers and auto-scoring.

    Bakker, Jessie P / Ross, Marco / Cerny, Andreas / Vasko, Ray / Shaw, Edmund / Kuna, Samuel / Magalang, Ulysses J / Punjabi, Naresh M / Anderer, Peter

    Sleep

    2022  Volume 46, Issue 2

    Abstract: Study objectives: To quantify the amount of sleep stage ambiguity across expert scorers and to validate a new auto-scoring platform against sleep staging performed by multiple scorers.: Methods: We applied a new auto-scoring system to three datasets ... ...

    Abstract Study objectives: To quantify the amount of sleep stage ambiguity across expert scorers and to validate a new auto-scoring platform against sleep staging performed by multiple scorers.
    Methods: We applied a new auto-scoring system to three datasets containing 95 PSGs scored by 6-12 scorers, to compare sleep stage probabilities (hypnodensity; i.e. the probability of each sleep stage being assigned to a given epoch) as the primary output, as well as a single sleep stage per epoch assigned by hierarchical majority rule.
    Results: The percentage of epochs with 100% agreement across scorers was 46 ± 9%, 38 ± 10% and 32 ± 9% for the datasets with 6, 9, and 12 scorers, respectively. The mean intra-class correlation coefficient between sleep stage probabilities from auto- and manual-scoring was 0.91, representing excellent reliability. Within each dataset, agreement between auto-scoring and consensus manual-scoring was significantly higher than agreement between manual-scoring and consensus manual-scoring (0.78 vs. 0.69; 0.74 vs. 0.67; and 0.75 vs. 0.67; all p < 0.01).
    Conclusions: Analysis of scoring performed by multiple scorers reveals that sleep stage ambiguity is the rule rather than the exception. Probabilities of the sleep stages determined by artificial intelligence auto-scoring provide an excellent estimate of this ambiguity. Compared to consensus manual-scoring, sleep staging derived from auto-scoring is for each individual PSG noninferior to manual-scoring meaning that auto-scoring output is ready for interpretation without the need for manual adjustment.
    MeSH term(s) Humans ; Artificial Intelligence ; Reproducibility of Results ; Observer Variation ; Sleep ; Sleep Stages
    Language English
    Publishing date 2022-06-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 424441-2
    ISSN 1550-9109 ; 0161-8105
    ISSN (online) 1550-9109
    ISSN 0161-8105
    DOI 10.1093/sleep/zsac154
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