Evidence map›Paper›PMID 36258886›Full record

ArticleLaryngoscope investigative otolaryngology2022

Hypoglossal nerve stimulator patient usage: Patterns and trends over time.

Elliot Morse, Maria Suurna

Abstract read
In one paragraph

Article in Laryngoscope investigative otolaryngology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Elliot MorseDepartment of Otolaryngology-Head and Neck Surgery Weill Cornell Medicine New York New York USA.ORCID https://orcid.org/0000-0003-2585-8188
Maria SuurnaDepartment of Otolaryngology-Head and Neck Surgery Weill Cornell Medicine New York New York USA.ORCID https://orcid.org/0000-0002-7032-0902

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Hypoglossal nerve stimulation (HNS) is an effective treatment for obstructive sleep apnea (OSA) patients intolerant of continuous positive airway pressure but is only effective if used regularly. Usage patterns have not been studied in detail. In this study, we aimed to characterize granular HNS usage patterns. Methods: Patients implanted by a single surgeon at an academic medical center from August 2016 to January 2021 were identified from a prospective database, which was merged with the Inspire Cloud usage database. Patient, OSA, and usage characteristics were summarized, and patient- and OSA-related characteristics were associated with usage characteristics by Wilcoxon rank-sum analyses. Usage trends over time were summarized in the overall cohort and stratified by initial usage. Results: Fifty patients were included. Median usage was 94% of nights (interquartile range [IQR]: 82%-98%) for 5.8 h per night (IQR: 4.9-6.4). Higher post-operative apnea-hypopnea index predicted fewer nights used (92% [IQR: 82%-97%] vs. 96% [IQR: 91%-99%]). No other characteristics examined were significantly associated with usage. Median hours used per night decreased from 6.80 h (IQR: 5.32-7.94) on Day 1 to 5.76 (IQR: 1.81-7.13) on Day 361. This decrease was most pronounced in the quartile with the lowest initial usage. Conclusion: This study found that most patient and OSA characteristics were not associated with HNS usage, and that usage generally decreased over time. This decrease in usage over time was most pronounced in patients with the lowest initial usage. Further work should identify interventions to improve usage patterns to optimize clinical outcomes.

Indexed as

apnea–hypopnea indexCPAP intoleranceEpworth sleepiness scaleobstructive sleep apneasleep medicineupper airway stimulation

Identifiers

PMID36258886
PMCPMC9575119

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.