Optimizing Inspire Hypoglossal Nerve Stimulator Settings in Pediatric Obstructive Sleep Apnea

INTRODUCTION

Hypoglossal nerve stimulation (HGNS) is an effective therapy for carefully selected pediatric patients with Down syndrome (DS) and obstructive sleep apnea (OSA), but optimization of device settings has been focused on stimulation settings. The potential benefits of sensing lead setting optimization have not been investigated. We describe a series of three cases of HGNS in children with DS where optimization of both the stimulation lead and sensing lead settings, as well as utilization of drug-induced sleep endoscopy (DISE), when indicated, was more effective than stimulation lead optimization alone.

METHODS

Using our novel titration algorithm, among the three identified pediatric patients with DS in whom HGNS initially failed to reduce the apnea-hypopnea index (AHI), two patients in whom sleep studies were characterized as hypopnea-dominant were assigned to advanced titration (optimization of stimulation settings and sensing lead settings). The third patient, with an obstructive apnea-dominant sleep study, was referred for interrogated DISE. Advanced titration included adjustment of both stimulation settings and sensing lead settings.

RESULTS

Application of the advanced titration algorithm, tailored to obstructive apnea- versus hypopnea-dominant sleep patterns, resulted in approximately 50% or greater reduction in AHI in all three patients. "Normal to mild OSA" AHI (AHI <5) was achieved in two patients.

CONCLUSIONS

A novel diagnostic and therapeutic titration algorithm for the Inspire HGNS system significantly reduced AHI in three pediatric patients with DS and OSA who had failed to respond to the standard device titration that focused solely on stimulation settings.

LEVEL OF EVIDENCE

4 Laryngoscope, 134:5164-5169, 2024.

Upper Airway Stimulation for Children and Adolescents with Down Syndrome: Long-Term Follow-Up

OBJECTIVE(S)

Hypoglossal nerve stimulation (HGNS) is safe and effective for patients with Down syndrome (DS) and severe persistent obstructive sleep apnea (OSA). Long-term outcomes for this patient population have not been evaluated.

METHODS

A prospective single-group multicenter cohort study with 1-year follow-up was conducted between 2015 and 2021 among 42 adolescent patients with DS and severe persistent OSA. Here, we evaluate long-term outcomes in this patient cohort. Patients were evaluated with polysomnogram (PSG) at three timepoints: pre-implantation (timepoint 1), 1-year post-implantation (timepoint 2), and long-term follow-up (timepoint 3).

RESULTS

Long-term follow-up data were available for 33 of 42 patients. Mean (SD) of timepoint 3 was 4.0 (1.9) years after implantation. Using a therapy response definition of a 50% decrease in Apnea Hypopnea INdez (AHI) from timepoint 1, the response rate was 69.7% (23/33) at timepoint 2 and 87.9% (29/33) at timepoint 3. From timepoint 1, there was a mean (SD) decrease in AHI of 12.7 (13.4) events/h at timepoint 2 and 15.7 (13.1) events/h at timepoint 3. The mean percentage change in AHI between timepoints 1 and 2 was -51.1% (95% CI: -32.8% to -69.3%) and between timepoints 1 and 3 was -59.6% (95% CI: -42.0% to -77.3%).

CONCLUSION

Patients with DS and severe persistent OSA who undergo HGNS implantation may continue to experience improvement in PSG parameters at long-term follow-up. Future studies are needed to assess additional long-term outcomes in this patient population, including neurocognition and quality of life.

LEVEL OF EVIDENCE

3 Laryngoscope, 2024.

Sustainable improvement in upstream and downstream outcomes for intubated patients three years after an airway-based educational intervention in a low-resource pediatric intensive care unit

OBJECTIVE

To determine whether implementation of an education-based intervention can sustainably improve upstream and downstream outcomes in intubated patients in a pediatric intensive care unit (PICU) in a low-resource country.

DESIGN

Quality improvement study comparing airway-related morbidity in two previously studied patient cohorts pre-intervention (Epoch 1) and immediately post-intervention (Epoch 2) with a third cohort thirty-six months post-intervention (Epoch 3).

SETTING

PICU of the largest public children's hospital in El Salvador.

PATIENTS

147 patients under 18 years requiring intubation and mechanical ventilation (MV) met inclusion criteria in the long-term follow-up period and were consecutively sampled without exclusion (Epoch 3) (compared to 98 previously studied patients in the short-term follow-up period (Epoch 2)).

INTERVENTION

A low-cost, education-based intervention to close knowledge gaps, improve communication among PICU doctors, nurses, and respiratory therapists, and optimize patient outcomes.

MEASUREMENTS AND MAIN RESULTS

The primary outcome measure was change in unplanned extubation (UE) between Epochs 2 and 3. Other outcomes included use of cuffed endotracheal tubes (ETT), rate of elective ETT change and days of MV. The 17 % decrease in UE previously reported for Epoch 2 was sustained in Epoch 3. There was a statistically significant increase in use of cuffed ETT from 35.7 % in Epoch 2-55.1 % in Epoch 3 (p = 0.003, z-score -2.99). There was also a statistically significant mean difference in rate of elective ETT change per 100 MV days from Epoch 2 to Epoch 3 of 1.7 (p = 0.007; 95 % CI 0.15-0.84). There was no change in MV days from Epoch 2 to Epoch 3 (p-value 0.764; 95 % CI -1.48-2.02). Beyond these quantifiable results, many unanticipated practice changes were observed three years after the initial intervention.

CONCLUSIONS

Sustained improvement in upstream and downstream outcomes (UE, cuffed ETT use, elective ETT change) for intubated patients in a low-resource PICU were observed three years after a low-cost, low-touch, education-based intervention.

Practical quality improvement changes for a low-resourced pediatric unit

Background

This work describes a sustainable and replicable initiative to optimize multi-disciplinary care and uptake of clinical best practices for patients in a pediatric intensive care unit in Low/Middle Income Countries and to understand the various factors that may play a role in the reduction in child mortality seen after implementation of the Quality Improvement Initiative.

Methods

This was a longitudinal assessment of a quality improvement program with the primary outcome of intubated pediatric patient mortality. The program was assessed 36 months following implementation of the quality improvement intervention using a t-test with linear regression to control for co-variates. An Impact Pathway model was developed to describe potential pathways for improvement, and context was added with an exploratory analysis of adoption of the intervention and locally initiated interventions.

Results

147 patients were included in the sustainability cohort. Comparing the initial post-implementation cohort to the sustainability cohort, the overall PICU unexpected extubations per 100 days mechanical ventilation decreased significantly from baseline (6.98) to the first year post intervention (3.52; p < 0.008) but plateaued without further significant decrease in the final cohort (3.0; p = 0.73), whereas the mortality decreased from 22.4 (std 0.42) to 9.5% (std 0.29): p value: 0.002 (confidence intervals: 0.05;0.21). The regression model that examined age, sex, diagnosis and severity of illness (via aggregate Pediatric Risk of Mortality (PRISM) scores between epochs) yielded an adjusted R-squared (adjusting for the number of predictors) value of 0.046, indicating that approximately 4.6% of the variance in mortality was explained by the predictors included in the model. The overall significance of the regression model was supported by an F-statistic of 3.198 (p = 0.00828). age, weight, diagnosis, and severity of illness. 15 new and locally driven quality practices were observed in the PICU compared to the initial post-implementation time period. The Impact Pathway model suggested multiple unique potential pathways connecting the improved patient outcomes with the intervention components.

Conclusion

Sustained improvements were seen in the care of intubated pediatric patients. While some of this improvement may be attributable to the intervention, it appears likely that the change is multifactorial, as evidenced by a significant number of new quality improvement projects initiated by the local clinical team. Although currently limited by available data, the use of Driver Diagram and Impact Pathway models demonstrates several proposed causal pathways and holds potential for further elucidating the complex dynamics underlying such improvements.

AI Model Versus Clinician Otoscopy in the Operative Setting for Otitis Media Diagnosis

Prior work has demonstrated improved accuracy in otitis media diagnosis based on otoscopy using artificial intelligence (AI)-based approaches compared to clinician evaluation. However, this difference in accuracy has not been shown in a setting resembling the point-of-care. In this study, we compare the diagnostic accuracy of a machine-learning model to that of pediatricians using standard handheld otoscopes. We find that the model is more accurate than clinicians (90.6% vs 59.4%, P = .01). This is a step towards validation of AI-based diagnosis under more real-world conditions. With further validation, for example on different patient populations and in deployment, this technology could be a useful addition to the clinician's toolbox in accurately diagnosing otitis media.

Hypoglossal Nerve Stimulation for Obstructive Sleep Apnea in a Young Child With Down Syndrome

Obstructive sleep apnea (OSA) is common in children with Down syndrome (DS). Adenoidectomy and/or tonsillectomy are the usual first interventions employed to treat OSA in children with DS but sometimes do not achieve adequate resolution of clinical signs. Positive airway pressure treatment is often used next, but this treatment is poorly tolerated by this population. Persistent OSA can adversely affect a child's health and cognitive development. Hypoglossal nerve stimulation (HGNS), previously shown to be safe and effective in adults with OSA, has been used in children as young as 10 years old with DS and has achieved measurable neurocognitive benefits. The US Food and Drug Administration recently lowered the age for HGNS implantation to 13 years for children with DS. However, questions remain regarding treatment of refractory OSA in younger children. Here, we report the case of a 4-year-old boy with DS and treatment-refractory OSA who underwent successful HGNS implantation. The decision to proceed with HGNS implantation in such a young child involved discussions about anatomic feasibility and potential neurocognitive benefits. The device was implanted without complication and with minimal postoperative bulk. This case suggests a possible treatment option that can be discussed in the course of shared decision-making between clinicians and families of young children with DS and treatment-refractory OSA.

Harnessing the power of electronic health records and open natural language data mining to capture meaningful patient experience during routine clinical care

INTRODUCTION

Electronic health records (EHR) are a rich data source for both quality improvement and clinical research. Natural language processing can be harnessed to extract data from these previously difficult to access sources.

OBJECTIVE

The objective of this study was to create and apply a natural language search query to extract EHR data to ask and answer quality improvement questions at a pediatric aerodigestive center.

METHODS

We developed a combined natural language search query to extract clinically meaningful data along with International Statistical Classification of Diseases (ICD10) and Current Procedural Terminology (CPT) code data. This search query was applied to a single pediatric aerodigestive center to answer key clinical questions asked by families. Data were extracted from EHR data from first clinic visit, operative note, microbiology lab report, and pathology report for all new patients from 2020 to 2021. Included as three queries were: 1) if I bring my child to a pediatric aerodigestive center, how often will my child obtain a medical diagnosis without needing an intervention? 2) if my child has a diagnostic procedure, how often will a diagnosis be made? 3) if a diagnosis is made, can it be addressed during that endoscopic intervention?

RESULTS

For the 711 new patients coming to the pediatric aerodigestive center from 2020 to 2021, only 26-32% required an interventional triple endoscopy (rigid/flexible bronchoscopy with esophagoduodenoscopy). Of these triple endoscopies, 75.7% resulted in a positive finding that enabled optimization of that child's care. Of the 221 patients who underwent diagnostic triple endoscopies, 40.7% underwent intervention at the same time for laryngeal cleft (injection or suture, dependent upon age).

CONCLUSION

Here we created an effective model of open language search query to extract meaningful metrics of patient experience from EHR data. This model easily allows the EHR to be harnessed to create retrospective and prospective databases that can be readily queried to answer clinical questions important to patients. Such databases are widely applicable not just to pediatric aerodigestive centers but to any clinical care setting using an EHR.

Paediatric sleep apnea event prediction using nasal air pressure and machine learning

Sleep-disordered breathing is an important health issue for children. The objective of this study was to develop a machine learning classifier model for the identification of sleep apnea events taken exclusively from nasal air pressure measurements acquired during overnight polysomnography for paediatric patients. A secondary objective of this study was to differentiate site of obstruction exclusively from hypopnea event data using the model. Computer vision classifiers were developed via transfer learning to either normal breathing while asleep, obstructive hypopnea, obstructive apnea or central apnea. A separate model was trained to identify site of obstruction as either adeno-tonsillar or tongue base. In addition, a survey of board-certified and board-eligible sleep physicians was completed to compare clinician versus model classification performance of sleep events, and indicated very good performance of our model relative to human raters. The nasal air pressure sample database available for modelling comprised 417 normal, 266 obstructive hypopnea, 122 obstructive apnea and 131 central apnea events derived from 28 paediatric patients. The four-way classifier achieved a mean prediction accuracy of 70.0% (95% confidence interval [67.1-72.9]). Clinician raters correctly identified sleep events from nasal air pressure tracings 53.8% of the time, whereas the local model was 77.5% accurate. The site of obstruction classifier achieved a mean prediction accuracy of 75.0% (95% confidence interval [68.7-81.3]). Machine learning applied to nasal air pressure tracings is feasible and may exceed the diagnostic performance of expert clinicians. Nasal air pressure tracings of obstructive hypopneas may "encode" information regarding the site of obstruction, which may only be discernable by machine learning.

Making Use of Artificial Intelligence-Generated Synthetic Tympanic Membrane Images

This diagnostic study examines the application of generative artificial intelligence in clinical tool research and development.

Hospital Prices for Pediatric Tympanostomy Tube Placement and Adenotonsillectomy in 2021

OBJECTIVES

Hospital prices vary substantially for myringotomy with tympanostomy tube placement (M&T) and adenotonsillectomy (T&A). The Centers for Medicare and Medicaid Services recently implemented hospital price transparency requirements to help families make financially informed decisions about where to seek care. We sought to determine price availability and the extent of price variation for these procedures.

METHODS

We performed a cross-sectional analysis of the Turquoise Health Hospital Rates Data Platform, which extracts prices for facility fees from publicly available hospital chargemasters. We determined the proportion of hospitals serving pediatric patients that published payer-specific prices for M&T and T&A. We additionally characterized the extent of variation in payer-specific prices both across and within hospitals.

RESULTS

Approximately 40% (n = 909 of 2,266 hospitals) serving pediatric patients disclosed prices for M&T or T&A. Among disclosing hospitals, across-center ratios (adjusted for Medicare hospital wage indices) ranged from 11.0 (M&T; 10th percentile adjusted median price: $536.80 versus 90th percentile adjusted median price: $5,929.93) to 23.4 (revision adenoidectomy age >12 years; 10th percentile: $393.82 versus 90th percentile: $9,209.88). Median within-center price ratios for procedures ranged from 2.2 to 2.7, indicating that some private payers reimbursed the same hospital more than twice as much as other payers for the same procedure.

CONCLUSION

The majority of hospitals serving pediatric patients were non-compliant with federal requirements to disclose prices for M&T and T&A. Among disclosing hospitals, there was wide variation in payer-specific prices between and within institutions. Further research is necessary to understand whether disclosure of prices will enable families to make more financially informed decisions.

LEVEL OF EVIDENCE

3 Laryngoscope, 133:948-955, 2023.

Generation of synthetic tympanic membrane images: Development, human validation, and clinical implications of synthetic data

Synthetic clinical images could augment real medical image datasets, a novel approach in otolaryngology-head and neck surgery (OHNS). Our objective was to develop a generative adversarial network (GAN) for tympanic membrane images and to validate the quality of synthetic images with human reviewers. Our model was developed using a state-of-the-art GAN architecture, StyleGAN2-ADA. The network was trained on intraoperative high-definition (HD) endoscopic images of tympanic membranes collected from pediatric patients undergoing myringotomy with possible tympanostomy tube placement. A human validation survey was administered to a cohort of OHNS and pediatrics trainees at our institution. The primary measure of model quality was the Frechet Inception Distance (FID), a metric comparing the distribution of generated images with the distribution of real images. The measures used for human reviewer validation were the sensitivity, specificity, and area under the curve (AUC) for humans' ability to discern synthetic from real images. Our dataset comprised 202 images. The best GAN was trained at 512x512 image resolution with a FID of 47.0. The progression of images through training showed stepwise "learning" of the anatomic features of a tympanic membrane. The validation survey was taken by 65 persons who reviewed 925 images. Human reviewers demonstrated a sensitivity of 66%, specificity of 73%, and AUC of 0.69 for the detection of synthetic images. In summary, we successfully developed a GAN to produce synthetic tympanic membrane images and validated this with human reviewers. These images could be used to bolster real datasets with various pathologies and develop more robust deep learning models such as those used for diagnostic predictions from otoscopic images. However, caution should be exercised with the use of synthetic data given issues regarding data diversity and performance validation. Any model trained using synthetic data will require robust external validation to ensure validity and generalizability.

Aspiration does not mean the end of a breast-feeding relationship

OBJECTIVE

Breastfeeding is widely recommended as optimal nutrition for infants. However, there are no known publications on the impact of prandial aspiration of breast milk fed infants with dysphagia. The goal of this study was to assess pulmonary outcomes in infants with dysphagia who were given medical clearance for intake of breast milk.

METHODS

This retrospective cohort study included review of 80 infants examined between August 2016 to March 2021. Patients were evaluated by an interdisciplinary team of providers in a tertiary pediatric aerodigestive center. Patient inclusion criteria included a VFSS with documented aspiration or penetration with thin liquids. Participants met inclusion criteria if given medical clearance for intake of breast milk despite aspiration risk. Pulmonary health was monitored for three months following medical clearance for the consumption of breast milk. Pulmonary illness was defined as development of bronchiolitis, wheezing, unexplained stridor during feeding, croup, pneumonia, or persistent bacterial bronchitis requiring medical intervention.

RESULTS

Forty-three males (54%) and 37 females (46%) enrolled in the study with an age range of 1 month-6 months corrected age. Mean age at initial VFSS was 3.6 months. Twenty-six out of 80 (32.5%) had a report of a mild cough but did not require intervention. Eight out of 80 (10%) received a diagnosis of a pulmonary illness. Seventy-two out of 80 (90%) did not report pulmonary illness.

CONCLUSION

This pilot study reveals that the majority (90%) of this single institution, small sample size cohort of breast milk fed infants with documented oropharyngeal dysphagia remained healthy despite continued intake of breast milk. Prospective investigation is warranted to follow pulmonary health outcomes longitudinally and a head to head comparative study would be helpful to identify whether there were indeed significant changes to pulmonary health according to differential feeding regimens offered and followed.

"Human vs Machine" Validation of a Deep Learning Algorithm for Pediatric Middle Ear Infection Diagnosis

OBJECTIVE

We compared the diagnostic performance of human clinicians with that of a neural network algorithm developed using a library of tympanic membrane images derived from children taken to the operating room with the intent of performing myringotomy and possible tube placement for recurrent acute otitis media (AOM) or otitis media with effusion (OME).

STUDY DESIGN

Retrospective cohort study.

SETTING

Tertiary academic medical center from 2018 to 2021.

METHODS

A training set of 639 images of tympanic membranes representing normal, OME, and AOM was used to train a neural network as well as a proprietary commercial image classifier from Google. Model diagnostic prediction performance in differentiating normal vs nonpurulent vs purulent effusion was scored based on classification accuracy. A web-based survey was developed to test human clinicians' diagnostic accuracy on a novel image set, and this was compared head to head against our model.

RESULTS

Our model achieved a mean prediction accuracy of 80.8% (95% CI, 77.0%-84.6%). The Google model achieved a prediction accuracy of 85.4%. In a validation survey of 39 clinicians analyzing a sample of 22 endoscopic ear images, the average diagnostic accuracy was 65.0%. On the same data set, our model achieved an accuracy of 95.5%.

CONCLUSION

Our model outperformed certain groups of human clinicians in assessing images of tympanic membranes for effusions in children. Reduced diagnostic error rates using machine learning models may have implications in reducing rates of misdiagnosis, potentially leading to fewer missed diagnoses, unnecessary antibiotic prescriptions, and surgical procedures.

Evaluation of Upper Airway Stimulation for Adolescents With Down Syndrome and Obstructive Sleep Apnea

Importance

Patients with Down syndrome have a high incidence of persistent obstructive sleep apnea (OSA) and limited treatment options. Upper airway hypoglossal stimulation has been shown to be effective for adults with OSA but has not yet been evaluated for pediatric populations.

Objective

To evaluate the safety and effectiveness of upper airway stimulation for adolescent patients with Down syndrome and severe OSA.

Design, Setting, and Participants

This prospective single-group multicenter cohort study with 1-year follow-up was conducted between April 1, 2015, and July 31, 2021, among a referred sample of 42 consecutive adolescent patients with Down syndrome and persistent severe OSA after adenotonsillectomy.

Intervention

Upper airway stimulation.

Main Outcomes and Measures

The prespecified primary outcomes were safety and the change in apnea-hypopnea index (AHI) from baseline to 12 months postoperatively. Polysomnographic and quality of life outcomes were assessed at 1, 2, 6, and 12 months postoperatively.

Results

Among the 42 patients (28 male patients [66.7%]; mean [SD] age, 15.1 [3.0] years), there was a mean (SD) decrease in AHI of 12.9 (13.2) events/h (95% CI, -17.0 to -8.7 events/h). With the use of a therapy response definition of a 50% decrease in AHI, the 12-month response rate was 65.9% (27 of 41), and 73.2% of patients (30 of 41) had a 12-month AHI of less than 10 events/h. The most common complication was temporary tongue or oral discomfort, which occurred in 5 patients (11.9%). The reoperation rate was 4.8% (n = 2). The mean (SD) improvement in the OSA-18 total score was 34.8 (20.3) (95% CI, -42.1 to -27.5), and the mean (SD) improvement in the Epworth Sleepiness Scale score was 5.1 (6.9) (95% CI, -7.4 to -2.8). The mean (SD) duration of nightly therapy was 9.0 (1.8) hours, with 40 patients (95.2%) using the device at least 4 hours a night.

Conclusions and Relevance

Upper airway stimulation was able to be safely performed for 42 adolescents who had Down syndrome and persistent severe OSA after adenotonsillectomy with positive airway pressure intolerance. There was an acceptable adverse event profile with high rates of therapy response and quality of life improvement.

Trial Registration

ClinicalTrials.gov Identifier: NCT02344108.

A low-cost educational intervention to reduce unplanned extubation in low-resourced pediatric intensive care units

INTRODUCTION

Unplanned extubation (UE) is orders of magnitude worse in low-income Pediatric Intensive Care Units (PICUs) than their high-income counterparts. Furthermore, a significant percent (20 %) of UEs result in a destabilizing event or cardiac collapse that negatively contributes to morbidity and mortality. As the principles of safe airway management are universal, we hypothesize that a multi-disciplinary educational intervention bundle which included provision of low-cost cuffed endotracheal tubes (ETT) and ETT tape will decrease the rate of unplanned extubation (UE) in a low-resourced PICU.

METHODS

This is a pre-post interventional study powered to evaluate UE of intubated pediatric patients in an El Salvadorian PICU after a multi-disciplinary educational effort and provision of low-cost disposable materials. A multidisciplinary (otolaryngologists, intensivists, anesthesiologists, respiratory therapists, and nurses) educational curriculum involving hands on training, online video modules readily available via bedside QR codes, and pre- and post-testing was administered. The cost of the intervention materials was $1.32 per child. PICU mortality was evaluated as an exploratory outcome.

RESULTS

Nine-hundred and fifty-seven (859 pre-intervention and 98 post-intervention) patients met inclusion criteria. Patients with one or more UEs decreased significantly from 29.4 % to 17.3 % post-intervention (p = 0.01; CI: 0.28-0.88) with an odds ratio of 0.51. The use of a cuffed ETT increased from 12 % to 36 % (p < 0.001; CI: 0.17-0.44; OR:3.74) and cuffed ETT use was associated with a reduction in UE with an odds ratio of 0.40 (p < 0.001; CI: 0.24-0.66). Finally, there was a 4.3 % decrease in pediatric mortality from 26.7 % to 22.4 % that equates to a number needed to treat to prevent a single child mortality of 23. Therefore, the ICER per mortality prevented is $30.7 and the ICER per Disability Adjusted Life Year (DALY) is $0.44.

CONCLUSION

This multi-faceted intervention bundle is an accessible, scalable, cost-effective means to reduce UE and has implications in reducing global pediatric mortality.

Long-term stability of hypoglossal nerve stimulation for the treatment of obstructive sleep apnea in children with Down syndrome

IMPORTANCE

Obstructive sleep apnea (OSA) occurs in 55-97% of people with Down syndrome (DS). Even after adenotonsillectomy, residual OSA often persists into adulthood due, in part, to tongue base collapse. Implantable hypoglossal nerve stimulators are being investigated in children and young adults with DS and persistent, moderate to severe OSA. However, the long-term necessity for such an intervention-especially as patients mature and voltage adjustment becomes warranted-has not been previously reported in the pediatric DS population.

OBJECTIVE

To assess the long-term need for implantable hypoglossal nerve stimulators and the necessity for voltage adjustment in children and young adults with Down syndrome.

DESIGN

This is a case series from an ongoing clinical trial assessing safety and efficacy of hypoglossal nerve stimulation among 42 children and young adults with DS and persistent OSA, despite adenotonsillectomy and trialed positive airway pressure (PAP) therapy. We focus here on the first 4 participants who have undergone implantation by age 13 and have completed at least 44 months of follow-up.

PARTICIPANTS

4 participants (2 male, 2 female; ages 10-13 years) with DS and persistent, severe OSA (AHI > 10 events/h) underwent hypoglossal nerve stimulator implantation and were followed for 44-58 months.

SETTING

Participants completed in-lab sleep studies at baseline (before implantation), 1 year postoperatively, and 44-58 months postoperatively. During their most recent follow-up, 2 participants completed split-night sleep studies in which assessment was done with the device both on and off.

INTERVENTIONS

Hypoglossal nerve stimulator implantation.

MAIN OUTCOMES AND MEASURES

Stability in titrated and untitrated OSA as measured by the apnea-hypopnea index (AHI); growth measures including BMI; and quality of life as measured by the OSA-18 questionnaire.

RESULTS

Compared to baseline, all 4 participants maintained reductions of at least 50% in AHI over the course of follow-up. At recent follow-up, two participants had persistent, moderate OSA despite stimulation therapy. The other two participants achieved 100% reductions in AHI with stimulation therapy; when they underwent split-night sleep studies, the severe OSA persisted with the device turned off. Improvement in OSA-18 quality of life scores was observed in three of the four participants.

CONCLUSION

and Relevance: Hypoglossal nerve stimulation continues to effectively control OSA in children with DS as they mature, while their underlying untitrated OSA appears to persist into adulthood.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT2344108.

Opioid prescribing practices in academic otolaryngology: A single institutional survey

OBJECTIVES

Opioids are highly addictive medications and otolaryngologists have a responsibility to practice opioid stewardship. We investigated postoperative opioid prescribing patterns among resident and attending physicians as an educational platform to underscore the importance of conscientious opioid prescribing.

METHODS

This quality improvement study was designed as a cross-sectional electronic survey. Residents and attending clinical faculty members at a single academic institution were queried from February through April 2020. An electronic survey was distributed to capture postoperative opioid prescribing patterns after common procedures. At the conclusion of the study, results were sent to all faculty and residents.

RESULTS

A total of 29 attending otolaryngologists and 22 residents completed the survey. Resident physicians prescribed on average fewer postoperative opioid pills than attendings. Among attendings, the largest number of opioids were prescribed following tonsillectomy (dose varied by patient age), neck dissection (12.6 pills), brow lift (13.3 pills), facelift (13.3 pills), and open reduction of facial trauma (10.7 pills). For residents, surgeries with the most postoperatively prescribed opioids were for tonsillectomy (varied by patient age), neck dissection (13.4 pills), open reduction of facial trauma (10.5 pills), parotidectomy (10.0 pills), and thyroid/parathyroidectomy (9.0 pills). The largest volume of postoperative opioids for both groups was prescribed following tonsillectomy. Attendings prescribed significantly more opioids after facelift and brow lift than did residents (p = 0.01 and p = 0.003, respectively).

CONCLUSION

There was good concordance between resident and attending prescribers. Improvement in opioid prescribing and pain management should be an essential component of otolaryngology residency education and attending continuing medical education.

LEVEL OF EVIDENCE

4.

Machine Learning for Accurate Intraoperative Pediatric Middle Ear Effusion Diagnosis

OBJECTIVES

Misdiagnosis of acute and chronic otitis media in children can result in significant consequences from either undertreatment or overtreatment. Our objective was to develop and train an artificial intelligence algorithm to accurately predict the presence of middle ear effusion in pediatric patients presenting to the operating room for myringotomy and tube placement.

METHODS

We trained a neural network to classify images as " normal" (no effusion) or "abnormal" (effusion present) using tympanic membrane images from children taken to the operating room with the intent of performing myringotomy and possible tube placement for recurrent acute otitis media or otitis media with effusion. Model performance was tested on held-out cases and fivefold cross-validation.

RESULTS

The mean training time for the neural network model was 76.0 (SD ± 0.01) seconds. Our model approach achieved a mean image classification accuracy of 83.8% (95% confidence interval [CI]: 82.7-84.8). In support of this classification accuracy, the model produced an area under the receiver operating characteristic curve performance of 0.93 (95% CI: 0.91-0.94) and F1-score of 0.80 (95% CI: 0.77-0.82).

CONCLUSIONS

Artificial intelligence-assisted diagnosis of acute or chronic otitis media in children may generate value for patients, families, and the health care system by improving point-of-care diagnostic accuracy. With a small training data set composed of intraoperative images obtained at time of tympanostomy tube insertion, our neural network was accurate in predicting the presence of a middle ear effusion in pediatric ear cases. This diagnostic accuracy performance is considerably higher than human-expert otoscopy-based diagnostic performance reported in previous studies.

Association of perioperative ibuprofen exposure with post-tonsillectomy bleeding requiring operative management

INTRODUCTION

Pediatric tonsillectomy is one of the most common surgical procedures performed in the United States. The safety of ibuprofen use after surgery is debated given concern for increased bleeding. The primary objective of this study was to compare the rate of post-tonsillectomy hemorrhage requiring operative management in patients who received ibuprofen perioperatively vs. patients who did not.

METHODS

Retrospective cohort study of patients 0-18 years old who underwent tonsillectomy with or without adenoidectomy (T&A) with recorded inpatient medication administration data at a single tertiary care institution from 1/2005-1/2019. The association between perioperative medication administration and return to operating room (OR) for control was evaluated using multivariable logistic regression adjusted for patient demographics and operative indication. Secondary outcomes evaluated included the time to operative bleed when it occurred.

RESULTS

A total of 4098 patients with a median age of 6 years old (IQR 4-10) underwent T&A over the study period. The overall rate of post-tonsillectomy hemorrhage requiring OR was 3.37% (n = 138/4098). After adjustment for confounders, the odds of bleeding requiring OR did not differ significantly between the ibuprofen (OR 1.16, 95% CI (0.76, 1.74), 3.55%, n = 41/1,156, p = 0.47) and non-ibuprofen groups (3.30%, n = 97/2942). The median time to bleeding requiring OR was postoperative day 6.5 (IQR6-8) in the ibuprofen group and day 6 (IQR 3-8) in the non-ibuprofen group.

CONCLUSIONS

No difference in post-tonsillectomy hemorrhage requiring OR was observed between patients receiving perioperative ibuprofen versus those patients not receiving this medication. Additional research is required to definitively determine a safe dose and interval for ibuprofen administration following tonsillectomy.

Carotid artery mobilization prior to pharyngeal flap inset for patients with 22q11.2 deletion syndrome

The management of velopharyngeal insufficiency (VPI) in patients with 22q11.2 deletion syndrome (22q11DS) poses a significant clinical challenge due to presence of a large velopharyngeal gap and a relatively high rate of internal carotid artery (ICA) medialization. To our knowledge, we are the first group to have successfully managed VPI in a series of seven pediatric patients with 22q11DS with medialized ICAs via a novel surgical technique involving carotid artery mobilization followed by pharyngeal flap insertion. Thus far, we have found this technique to be reliably safe with no significant morbidity and caregivers have reported postoperative improvement in speech, swallowing and nasal regurgitation symptoms. Herein, we provide a detailed description of our novel surgical approach, including an instructional video, for correction of VPI in patients with medialized ICAs, who have previously had limited management options.

Leveraging telemedicine to preserve pediatric global health missions in the era of COVID-19

This paper outlines the use of a global telehealth program to leverage the potential of telehealth to not only 1) preserve the previous progress of our pediatric surgical airway global teaching mission, but also: 2) to provide rapid, international dissemination of information related to care of pediatric COVID-19 patients; 3) to virtually support the attainment of self-sufficiency of our host countries in relation to our teaching mission; and 4) to inspire host countries to be local champions for each other during the COVID-19 crisis.

Redefining Success by Focusing on Failures After Pediatric Hypoglossal Stimulation in Down Syndrome

OBJECTIVES/HYPOTHESIS

Patients with Down syndrome have a high incidence of obstructive sleep apnea (OSA) and limited treatment options. Hypoglossal stimulation has shown efficacy but has not yet been approved for pediatric populations. Our objective is to characterize the therapy response of adolescent patients with down syndrome and severe OSA who underwent hypoglossal stimulation.

STUDY DESIGN

Prospective longitudinal trial.

METHODS

We are conducting a multicenter single-arm trial of hypoglossal stimulation for adolescent patients with Down syndrome and severe OSA. Interim analysis was performed to compare objective sleep and quality of life outcomes at 12 months postoperatively for the first 20 patients.

RESULTS

The mean age was 15.5 and baseline AHI 24.2. Of the 20 patients, two patients (10.0%) had an AHI under 1.5 at 12 months; nine patients of 20 (45.0%) under five; and 15 patients of 20 (75.0%) under 10. The mean decrease in AHI was 15.1 (P < .001). Patients with postoperative AHI over five had an average baseline OSA-18 survey score of 3.5 with an average improvement of 1.7 (P = .002); in addition, six of these patients had a relative decrease of apneas compared to hypopneas and seven had an improvement in percentage of time with oxygen saturation below 90%.

CONCLUSIONS

Patients with persistently elevated AHI 12 months after hypoglossal implantation experienced improvement in polysomnographic and quality of life outcomes. These results suggest the need for a closer look at physiologic markers for success beyond reporting AHI as the gold standard.

LEVEL OF EVIDENCE

4 Laryngoscope, 131:1663-1669, 2021.