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Record W4309821626 · doi:10.1097/wno.0000000000001734

Obstructive Sleep Apnea in Men With Idiopathic Intracranial Hypertension: A Prospective Case–Control Study

2022· article· en· W4309821626 on OpenAlexaff
Anna Kabanovski, Aaron Chan, Colin M. Shapiro, Edward Margolin

Bibliographic record

VenueJournal of Neuro-Ophthalmology · 2022
Typearticle
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsSNC-Lavalin (Canada)Toronto East General Hospital
Fundersnot available
KeywordsMedicineHypercapniaObstructive sleep apneaPolysomnographyBody mass indexCulpritAnesthesiaApneaProspective cohort studySleep apneaSleep studyInternal medicineCardiologyAcidosis

Abstract

fetched live from OpenAlex

BACKGROUND: Idiopathic intracranial hypertension (IIH) is uncommon in men. Previous studies reported on high frequency of obstructive sleep apnea (OSA) in men with IIH, but the pathophysiology of this association remains unclear. One possible culprit for increased intracranial pressure in patients with OSA is hypercapnia. The purpose of this study was to compare the rate of hypercapnia during polysomnography (PSG) study in men with and without IIH and to report on the rate and severity of OSA in men with IIH compared with control subjects of similar age and body mass index (BMI). METHODS: Prospective case-control study of male patients diagnosed with IIH underwent PSG with continuous oxygen and carbon dioxide monitoring overnight. Healthy control subjects with similar age and BMI also underwent PSG. The incidence of OSA diagnosis, rate of hypercapnia and hypoxia, and apnea hypopnea index (AHI) were compared between 2 groups. RESULTS: Eleven subjects with IIH and 10 controls underwent PSG. Both groups were similar regarding age and BMI on the Mann-Whitney U test ( P = 0.072 for age, P = 0.251 for BMI). Subjects for whom carbon dioxide data were not available for more than 50% of total sleep time were excluded from hypercapnia analysis. The mean age was 41.9 years, and the mean BMI was 33.8 kg/m 2 in subjects and controls. OSA was diagnosed in 9 of 11 men with IIH and 4 of 10 controls. There was no statistically significant difference in the rate of hypercapnia and hypoxia between 2 groups for whom the data were available. All patients with BMI over 30 kg/m 2 (7 of 7) and 50% (2 of 4) controls with BMI over 30 kg/m 2 were diagnosed with OSA compared with 50% (2 of 4) of cases and 33% (2 of 6) of controls with BMI less than 30 kg/m 2 . BMI was a significant predictor of total AHI ( P = 0.042) and OSA severity ( P = 0.023), but IIH diagnosis was not ( P > 0.05). CONCLUSIONS: There was no difference in hypercapnia rate between men with IIH and controls; thus, hypercapnia is an unlikely causative factor in pathophysiology of IIH. OSA on PSG was almost 2 times as prevalent in patients with IIH compared with controls; however, BMI was the strongest predictor of OSA diagnosis, and most patients (9 of 11) with BMI over 30 kg/m 2 had OSA on PSG. In men with BMI less than 30, the rate of OSA on PSG study was higher in men with IIH. Based on these data, we recommend that all men with the diagnosis of IIH should undergo PSG study.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.262
Teacher spread0.244 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2022
Admission routes1
Has abstractyes

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