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Record W2343953831 · doi:10.5665/sleep.5776

Sleep Apnea Severity Classification — Revisited

2016· letter· en· W2343953831 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSLEEP · 2016
Typeletter
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSleep apneaMedicineApneaSleep (system call)Obstructive sleep apneaPolysomnographyInternal medicineComputer science

Abstract

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Dr. Hudgel has indicated no financial conflicts of interest. As I read Ho et al.,1 I was abruptly reminded of a dilemma that our field of sleep medicine has failed to clarify: the relationship between the apnea-hypopnea index (AHI) and the severity categorization of sleep-disordered breathing (SDB). As polysomnogram (PSG) scoring criteria have changed over time, severity classification categories have remained constant. These authors make it blatantly clear that the AHI can vary widely with the use of different hypopnea scoring criteria. In this study, the original Sleep Heart Health Study PSGs were re-scored using three hypopnea definitions: “decrease in airflow or chest wall or abdominal excursion greater than 30% from baseline, but not meeting apnea definitions associated with either: (1) a 4% or greater fall in oxyhemoglobin saturation; (2) a 3% or greater fall in oxyhemoglobin saturation; or (3) a 3% or greater fall in oxyhemoglobin saturation or an event-related arousal.” They investigated the change in SDB severity classification that occurred with the change in AHI. The severity classifications used were: mild (AHI = 5–14), moderate (AHI = 15–30), and severe (AHI > 30).2 From the 1999 “conservative” hypopnea scoring criteria, > 4% oxyhemoglobin desaturation,2 to the new, “liberal” definition, > 3% oxyhemoglobin desaturation or an event-related arousal,3,,4 there was a dramatic increase in the AHI and SDB severity in this representative “normal” US population. The prevalence of those with a combined moderate + severe sleep apnea increased from 22% to 45% and the prevalence of those having a normal PSG (AHI < 5 events/h) decreased from 48% to 17% with use of the “liberalized” scoring criteria. It would seem logical that as AHI increases with use of the “liberal” hypopnea scoring criteria, the SDB severity classification also should be modified. Ho et al. is not the first publication describing this AHI variability. In fact, Sleep Heart Health Study data have been analyzed previously. Redline et al.5 showed large variation in the respiratory disturbance index (RDI) from 2 to 29 events/h, depending on the PSG scoring criteria used. Consistency was found in RDIs that required some level of arterial oxy-hemoglobin desaturation versus RDIs based on oronasal flow variability or arousals. Ruehland et al.6 found similar results in a sleep clinic referral population with the percent of this population having OSA, as defined by an AHI of > 5 events/h ranging from 59% to 92%, depending on which hypopnea scoring criteria were used.6 In a very detailed study, Tsai et al.7 found that including arousal in the hypopnea scoring criteria in a sleep clinic referral population significantly increased the diagnosis of SDB,7 again without changing the SDB severity classification. The aforementioned SDB severity categories were formalized primarily empirically in 1999 with the following proviso: “The data to justify a severity index based on event frequency are derived from the Wisconsin Sleep Cohort data that show an increased risk of hypertension that becomes substantial at an AHI of approximately 30.8 Currently there are no data available to indicate an appropriate distinction between mild and moderate degrees of obstructed breathing events during sleep.”2 Surely, these guidelines are based on insufficient evidence to determine severity of SDB. Yes, a positive correlation has been identified between AHI and comorbidities, such as self-reported cardiovascular disease. As Punjabi et al.9 point out, this correlation is significant using the > 4% oxyhemoglobin desaturation criterion for AHI scoring, not the > 3% desaturation criterion with or without an arousal.9 As indicted by Redline et al., several other studies have shown a relationship between AHI and various cardiovascular disease variables, significant arrhythmias, and cardiovascular risk factors.10 Several of these studies did not demonstrate a threshold AHI level for the association between AHI and cardiovascular disease, therefore, not supporting the designation of distinct categorical ranges to define SDB severity. Surely, use of various hypopnea scoring criteria makes it difficult to predict the susceptibility of individual patients or subject groups to the potential comorbidities of SDB. As Berry et al.4 concluded “…thresholds for identification of the presence and severity of OSA, and for inferring health-related consequences of OSA, must be calibrated to the hypopnea definition employed.”4 The field of sleep medicine has failed to make this important adjustment. The wide variability in AHI scoring, in addition to the various qualitative respiratory flow and effort sensors used in various laboratories, leaves the PSG as a less-than-ideal tool for assessing SDB severity. As the results of Ho et al1 indicate, patients with rather low AHIs, who often present a diagnostic and therapeutic dilemma, are susceptible to being part of different SDB severity categories, depending on the hypopnea scoring criteria used to score their PSGs. It would be appropriate and timely for one of our professional organizations to sponsor a re-evaluation of SDB severity categorization along with the recommendations to change the scoring criteria. Further research may be needed to define the relationship between AHI variation and clinical symptom-atology, cognition, sleepiness, and cardiometabolic co-morbidities. In the meantime, the PSG is best viewed as only one of the tools for determining SDB severity and subsequent therapy, as stated in the 1999 guideline.2 The AHI should not dictate patient care solely, but best be considered as a continuous variable without being forced into an arbitrary severity category. Of at least of equivalent if not of higher significance, the clinician should take into account symptoms, degree of daytime sleepiness, sleep time and quality, body mass index, pharyngeal anatomy, cognitive function, behavioral factors, occupation, and the presence or absence of cardiometabolic diseases and/or other co-morbidities in identifying SDB severity. This view of evaluating SDB severity is supported by the discussion of severity criteria within the International Classification of Sleep Disorders: “…a single numerical cut point (such as apnea index) is often not an appropriate division between levels of severity, and clinical judgment of several indexes of severity is considered superior.”11 Patients with SDB would be best served if sleep medicine practitioners remain cognizant of AHI scoring criteria used when incorporating the AHI into their diagnosis and therapeutic plan.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.305
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it