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.

Neurostimulation for Pediatric Obstructive Sleep Apnea.

Up to 80% of children with Down syndrome (DS) are affected by obstructive sleep apnea (OSA), and only 16% to 30% will have resolution of their OSA with adenotonsillectomy. Hypoglossal nerve stimulation is a well-established therapy for adults with OSA and was recently approved by the Food and Drug Administration for use in children with DS and residual OSA. There is robust experience with this therapy in adults that has led to well-established care pathways. However, given the challenges inherent to caring for a complex pediatric population, these pathways are not directly transferrable to children with DS.

Overcoming language barriers in pediatric care: a multilingual, AI-driven curriculum for global healthcare education.

Background: Online medical education often faces challenges related to communication and comprehension barriers, particularly when the instructional language differs from the healthcare providers' and caregivers' native languages. Our study addresses these challenges within pediatric healthcare by employing generative language models to produce a linguistically tailored, multilingual curriculum that covers the topics of team training, surgical procedures, perioperative care, patient journeys, and educational resources for healthcare providers and caregivers. Methods: An interdisciplinary group formulated a video curriculum in English, addressing the nuanced challenges of pediatric healthcare. Subsequently, it was translated into Spanish, primarily emphasizing Latin American demographics, utilizing OpenAI's GPT-4. Videos were enriched with synthetic voice profiles of native speakers to uphold the consistency of the narrative. Results: We created a collection of 45 multilingual video modules, each ranging from 3 to 8 min in length and covering essential topics such as teamwork, how to improve interpersonal communication, "How I Do It" surgical procedures, as well as focused topics in anesthesia, intensive care unit care, ward nursing, and transitions from hospital to home. Through AI-driven translation, this comprehensive collection ensures global accessibility and offers healthcare professionals and caregivers a linguistically inclusive resource for elevating standards of pediatric care worldwide. Conclusion: This development of multilingual educational content marks a progressive step toward global standardization of pediatric care. By utilizing advanced language models for translation, we ensure that the curriculum is inclusive and accessible. This initiative aligns well with the World Health Organization's Digital Health Guidelines, advocating for digitally enabled healthcare education.

Pediatric Down Syndrome Upper Airway Stimulation: Patient Selection and Post-Implantation Optimization.

OBJECTIVE: The Food and Drug Administration recently approved upper airway stimulation (UAS) for children with Down Syndrome and persistent obstructive sleep apnea who meet certain inclusion and exclusion criteria. Although there is a robust experience with this therapy in the adult population, established protocols used in adults are not directly transferrable to a complex pediatric population. This review aims to combine the protocols from several institutions for patient selection and postimplantation optimization, including a protocol for Drug-Induced Sleep Endoscopy in children with Down Syndrome, preactivation threshold measurements, device titration, and follow-up sleep studies. STUDY DESIGN: Expert panel development of best Practice algorithm. SETTING: Multi-institutional investigator review. METHODS: An expert panel was assembled of pediatric otolaryngologists with extensive experience in hypoglossal nerve stimulation in children with Down Syndrome. Thirty statements were created during an initial drafting session. A modified Delphi method was used assess consensus among the panel. RESULTS: After 2 rounds of Delphi surveys, 29 statements met criteria for consensus. One statement did not meet consensus. The statements were grouped into several categories to facilitate presentation. CONCLUSIONS: A standardized approach to UAS for children with Down Syndrome must take into account the unique challenges inherent to treating a complex pediatric population with a high rate of sensory processing disorders. This expert panel has met consensus on several statements that will guide clinicians as this novel therapy is adopted.

Bilateral Vocal Cord Paralysis Requiring Long-term Tracheostomy After SARS-CoV-2 Infection.

Bilateral vocal cord paralysis can cause obstruction of glottic airflow, resulting in respiratory distress and the need for a surgical airway. We report a case of acute onset bilateral vocal cord paralysis in a healthy adolescent patient 9 days after a mild severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This 15-year-old patient presented with dyspnea, tachypnea, and stridor. A fiberoptic laryngoscopy revealed bilateral vocal fold paralysis with limited vocal cord abduction causing respiratory distress. A detailed set of diagnostic test results, including blood work, imaging, and a lumbar puncture, were all negative other than her new onset diagnosis of SARS-CoV-2 infection. The patient underwent tracheostomy placement with the subsequent resolution of her symptoms. Her vocal cord function remains impaired, and the patient continues to be tracheostomy-dependent 13 months after the initial presentation. SARS-CoV-2 infection has multiple well-established neurologic complications in children. The current case suggests that vocal cord paralysis may be an additional neuropathic sequela of the virus. Vocal cord pathology should be an important consideration when constructing a differential for children presenting with voice, swallowing, or breathing complaints after SARS-CoV-2 infection.

Challenges and adverse events in pediatric hypoglossal nerve stimulation.

INTRODUCTION: Hypoglossal nerve stimulation was recently FDA approved for use in children with Down Syndrome and persistent obstructive sleep apnea. Although there is a robust experience in hypoglossal nerve stimulation in adults, we observed several challenges that are unique to providing this therapy to a complex pediatric population with a high rate of sensory processing disorders. We sought to review the adverse events and challenges to inform clinicians as hypoglossal nerve stimulation becomes a more accessible option for this complex population. METHODS: Retrospective case series of children with Down Syndrome and persistent OSA who underwent hypoglossal nerve stimulation. Inclusion and exclusion criteria included Down Syndrome, age 10-22 years, persistent severe OSA after adenotonsillectomy (AHI>10 with <25 % central or mixed events), inability to tolerate positive airway pressure, and absence of concentric palatal collapse on sleep endoscopy. Patients were identified and their charts were reviewed. Adverse events and their subsequent management were recorded. The major outcome variable was the total number of adverse events. RESULTS: A total of 53 patients underwent implantation of a hypoglossal nerve stimulator; 35 (66 %) patients were male and the average age at implantation was 15.1 years (standard deviation 3.0y). A total of 30 adverse events were noted, including 17 nonserious and 13 serious. The most common nonserious complications included temporary tongue discomfort, rash at the surgical site, and cellulitis. Serious complications included readmission (for cellulitis, pain, and device extrusion), reoperation (most commonly for battery depletion) and pressure ulcer formation. CONCLUSION: Hypoglossal nerve stimulation provides a much-needed therapy for children with DS and persistent OSA after adenotonsillectomy. Although there is a robust experience in providing this treatment to adults, many considerations must be made when adapting this technology to a pediatric population with a high rate of sensory processing disorders.

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.

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.

Blue light laser recontouring for pediatric benign fibrovascular vocal fold lesions.

INTRODUCTION: Up to 40% of children with hoarseness due to benign fibrovascular vocal fold lesions do not respond to voice therapy and could benefit from further intervention to improve their communication abilities. Currently there are limited surgical options for children too young to comply with post-operative voice rest. We have begun using the 445 nm laser to recontour benign fibrovascular vocal fold lesions without post-operative voice rest in young children with hoarseness due to vocal fold nodules that is unresponsive to voice therapy. This report presents pilot data on the effect of this treatment on pediatric voice-related quality of life. METHODS: Pediatric patients with benign fibrovascular lesions and severe subjective dysphonia (per parents or teachers) were given the option of undergoing surgery or continuing voice therapy. Those that opted for surgery underwent 445 nm laser recontouring of their vocal folds. They were discharged home the same day with no voice rest required. Pre- and post-demographic, acoustic measures, auditory perceptual assessments, and validated patient quality of life measures were collected. RESULTS: Four patients (ages 3-8y, all male) were selected for surgery. The mean pre- and post-op PVRQOL scores were 59.4 (range: 22.5-80) and 98.1 (range: 97.5-100), respectively (low scores suggest lower voice-related QOL), and a mean change of 38.8 (previously established minimum clinically important difference: 12). Pre- and post-acoustic and aerodynamic measures similarly reflected this improvement. CONCLUSION: This pilot case series addresses a commonly seen population (children with benign fibrovascular lesions and significant dysphonia despite voice therapy) where the best practice for timing and types of surgical intervention is unclear. Photoangiolytic lasers (including the 445 nm laser) are gaining popularity for the treatment of benign laryngeal pathologies, and their use may expand treatment possibilities for children with severe dysphonia due to benign vocal fold lesions that do not respond to voice therapy. Further longitudinal investigations are necessary to confirm the safety and efficacy.

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.

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.

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.

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.

"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.

Upper Esophageal Sphincter Dysfunction in Children with Type 1 Laryngeal Cleft after Failed Primary Cleft Repair.

Changes in pharyngeal and upper-esophageal-sphincter (UES) motor dynamics contribute to swallowing dysfunction. Children with type 1 laryngeal clefts can present with swallowing dysfunction and associated symptoms which may persist even after the initial endoscopic intervention. This study sought to characterize pharyngeal and esophageal motor function in children with type 1 laryngeal clefts who had persistent presenting symptoms after their initial therapeutic intervention. We retrospectively analyzed high-resolution esophageal manometry studies of children ≤ 18 years old with type 1 laryngeal clefts who had an esophageal manometry study performed for persistent symptoms after an initial repair. A total of 16 children were found to have significantly increased UES resting pressure, UES pre- and post-swallow maximum pressures, and duration of UES contraction during swallows in comparison to nine age-matched controls of children without pharyngeal anatomical abnormalities. There was no difference between UES residual pressures or pharyngeal dynamics between the two groups. UES resting and residual pressures did not correlate with VFFS in penetration and aspiration scores of children with type 1 laryngeal clefts status post repair. Our study is the first to identify specific changes in UES motor function in patients with type 1 laryngeal cleft post initial repair.

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.

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.

Pediatric intraoperative nerve monitoring during thyroid surgery: A review from the American Head and Neck Society Endocrine Surgery Section and the International Neural Monitoring Study Group.

Children are more likely to experience recurrent laryngeal nerve (RLN) injury during thyroid surgery. Intraoperative nerve monitoring (IONM) may assist in nerve identification and surgical decision making. A literature review of pediatric IONM was performed and used to inform a monitoring technique guide and expert opinion statements. Pediatric IONM is achieved using a variety of methods. When age-appropriate endotracheal tubes with integrated surface electrodes are not available, an alternative method should be used. Patient age and surgeon experience with laryngoscopy influence technique selection; four techniques are described in detail. Surgeons must be familiar with the nuances of monitoring technique and interpretation; opinion statements address optimizing this technology in children. Adult IONM guidelines may offer strategies for surgical decision making in children. In some cases, delay of second-sided surgery may reduce bilateral RLN injury risk.

Hybrid laryngotracheal reconstruction vs single and double stage: Indications and outcomes.

OBJECTIVES: To describe outcomes from laryngotracheal reconstruction and decannulation rates for patients undergoing single stage, double stage and hybrid staged procedures at a single tertiary care institution and evaluate if the 1.5LTR is a viable reconstructive option for patients with subglottic stenosis. STUDY DESIGN: Retrospective chart review. SETTING: Tertiary care otolaryngology specialty hospital and internationally. SUBJECTS: All patients who underwent LTR by a single pediatric otolaryngology surgeon from 2008 to 2018. METHODS: Charts were assessed for age, gender, etiology, type of reconstruction, comorbidities, length of stay, tracheostomy status and socioeconomic status. Analysis was performed using Microsoft Excel and multivariate logistic regression models. RESULTS: 96 patients underwent laryngotracheal reconstruction at MEEI. Internationally, 36 patients underwent laryngotracheal reconstruction with the primary surgeon. Overall decannulation rates for ssLTR, dsLTR, and 1.5LTR were 95.6%, 77.8%, and 91.2% respectively. Our Operation Specific Decannulation Rates (one open airway procedure only) for ssLTR, dsLTR, and 1.5LTR were 87.5%, 33%, and 88% respectively. Adjusted odds of decannulation were not significantly different between males and females, white and non-white patients, or socioeconomic status. Neurological comorbidity was statistically significant for a decreased rate of decannulation (p = 0.0216). CONCLUSION: The 1.5LTR is a viable option for airway reconstruction with strengths derived from both the ssLTR and dsLTR. At our institution we have seen decannulation rates and operation specific decannulation rates with the 1.5LTR approaching our ssLTR. It has replaced the bulk of our dsLTRs, which we reserve for patients that have significant neurological deficits and cannot tolerate extended sedation. LEVEL OF EVIDENCE: 4.