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Record W4406916465 · doi:10.1002/epd2.20334

Recurrent obstructive sleep apnea precipitated by vagus nerve stimulator despite weight loss and uvulopalatopharyngoplasty

2025· article· en· W4406916465 on OpenAlexaffabout
Derek Fisk, Marcus Ng

Bibliographic record

VenueEpileptic Disorders · 2025
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsUvulopalatopharyngoplastyMedicineObstructive sleep apneaAnesthesiaVagus nerveApneaSleep (system call)NeurologyWeight lossSleep apneaPolysomnographyStimulationInternal medicineObesity

Abstract

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Obstructive sleep apnea (OSA) is highly prevalent in epilepsy and significantly impacts severity and treatment effectiveness.1, 2 Vagal nerve stimulators (VNS) are commonly used to treat drug-resistant epilepsy (DRE) and are associated with an increased risk of OSA.3-10 Herein, we report a patient with DRE whose OSA recurred after VNS implantation despite a previous uncomplicated uvulopalatopharyngoplasty (UPPP) and significant weight loss. In 1995, a 29-year-old right-handed male developed temporal lobe epilepsy (TLE) 2 years after a bout of viral meningitis. His seizures were refractory to multiple anti-seizure medications (ASM), cannabidiol, and a ketogenic diet. In 2003, he was diagnosed with OSA on a home sleep study (records unavailable) despite prior tonsillectomy. In 2005, he underwent UPPP and went on to lose 64 pounds, lowering his BMI from 34.7 to 25.8 kg/m2. All OSA symptoms resolved without the need for continuous positive airway pressure (CPAP). In 2013, he was referred to an epilepsy surgical center where he first received left lesional corticoamygdalectomy as part of a two-stage approach to minimize risks of memory impairment from a resection in the dominant hemisphere. Nevertheless, a larger resection was later planned if seizures persisted. He continued experiencing focal unaware seizures with gustatory aura, most commonly upon awakening and triggered by sleep deprivation. These seizures were confirmed by video-EEG telemetry in 2016 but he initially declined pursuing the second stage of the two-staged approach recommended by the epilepsy surgical center due to persistent fears of memory impairment. Instead, he received a VNS (SenTiva™ M1000) in 2019. After the procedure, the dosing of his Lamotrigine, Topiramate, and Clobazam (started in 2010) remained unchanged. The device's autotitration schedule was followed to an output current (OC) of 1 mA. Settings were then increased every 2 months to optimize seizure control. During autotitration, he reported recurrent hoarseness and shortness of breath (OC: 0.25 mA) and throat tightness (OC: 1.0 mA). These symptoms occurred for less than a minute every 5 min, consistent with respective VNS signals on and off-times. At the settings displayed in Table S1 (Supporting information), he started experiencing unrefreshing sleep, increased daytime somnolence, and worsened snoring according to his partner. In 2021, a home sleep study was performed at a time when OSA symptoms remained unchanged despite OC reduction from 1.75 to 1.625 mA. The study (Figure 1) confirmed moderate OSA. Sleep-disordered breathing events occurred at an oddly consistent frequency of three to four times every 10 min, closely corresponding to the 3-min VNS cycle. Trials of dental appliances and CPAP failed. In 2022, due to seizure persistence and the side effects described above, he requested VNS removal. Further trials of reduced settings were declined. VNS explantation resulted in improved sleep, reduced daytime somnolence, and a cessation of snoring according to his partner. In 2023, he underwent stereo-EEG followed by left anterior temporal lobectomy, which has rendered him seizure-free for 2 years. Limitations include the sleep study before VNS occurring over a decade prior to implantation. Furthermore, no sleep study was performed after VNS explantation such that OSA resolution was based clinically. Similarly, timing of VNS activation relative to apneic events was not recorded during the sleep study. However, the strongly coincidental frequency of VNS activation and apnea raised concern that his VNS was directly responsible for OSA relapse. Moreover, OSA recurred despite significant weight loss. As obesity is a significant OSA risk factor,11, 12 the significant BMI reduction at the time of OSA recurrence points toward an alternate explanation for relapse such as his VNS. Our case agrees with a growing body of epilepsy literature that indicates a likely role of VNS in precipitating OSA.13 Indeed, OSA prevalence in adult patients with DRE increases from 16.7% to 37.5% after VNS implantation.10 Many hypothesized mechanisms exist, including vocal cord paresis, supraglottic muscle collapse,14 or brainstem-mediated changes in respiration.7 The OC at which OSA recurred (1.75 mA) is congruent with observations that OSA most commonly occurs at and above 2 mA,10 but can occur as low as 1.25 mA.15, 16 Similarly, the OC and duty cycle (25%) at OSA recurrence is corroborated by Fahoum et al.'s17 observation that tolerability and probability of response decreases above an OC of 1.61 mA or duty cycle over 17.1%. Our case highlights the potential ability of VNS to recapitulate previously resolved OSA despite significant lifestyle and surgical intervention such as UPPP. Consequently, clinicians should hold a high index of suspicion and low threshold to screen for OSA in such patients, even those who have undergone significant weight loss or OSA surgery. Given that OSA adversely impacts seizure control,1 OSA occurrence after VNS implantation could interfere with a patient's ability to tolerate VNS titration to optimal anti-seizure settings. In such cases, significant efforts to treat OSA may improve seizure control directly by removing OSA as a seizure-provoking factor, and indirectly by helping patients reach maximally effective VNS settings. We thank the Misericordia Health Centre Sleep Disorder Centre for providing sleep study testing data and clinician documentation. MCN receives publishing royalties from Demos Medical Publishing. He also receives speaking honoraria from and is on the advisory boards for Eisai Canada and UCB Canada. He is on the advisory board for Paladin Canada. All honoraria were donated to the local hospital charity foundation. Data S1. Data S2. Table S1. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. Which of the below options represents a mechanism by which VNS are believed to cause OSA in some patients? In patients who receive VNS for DRE, OSA has been most frequently observed in patients with output currents that are: Which of the following was discussed as a reason to treat OSA when it occurs in patients being treated with a VNS? Answers may be found in the Supporting information.

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 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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.266
Teacher spread0.260 · 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 teacher head, not a consensus.

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".

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Citations1
Published2025
Admission routes2
Has abstractyes

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