Evaluating the Diagnostic Performance of Large Language Models on Complex Multimodal Medical Cases.

Large language models showed interpretative reasoning in solving diagnostically challenging medical cases.

Clinical effectiveness of mindfulness-based music therapy on improving emotional regulation in blind older women: A randomized controlled trial.

Background: This study aimed to investigate clinical effectiveness of a structured eight-week mindfulness-based music therapy (MBMT) program on improving mood regulation in older women with blindness. This investigation compared a MBMT group with a mindfulness intervention (MI) group and a control group. Methods: Ninety-two older females with blindness from a residential setting in Hong Kong were recruited and randomly allocated to a MBMT (n = 31), MI (n = 30), or control (n = 31) group. Psychological measurements regarding mood regulation and general mood states (namely, Difficulties in Emotion Regulation Scale [DERS], Geriatric Depression Scale [GDS], and Depression Anxiety Stress Scales-21), were taken at pretest and posttest. Outcome assessors were blinded to group assignment. Results: Data was analyzed based on intention-to-treat basis. At posttest, DERS scores in the MBMT group (mean differences and 95% confidence interval: 12.1, 5.5 to 18.8) and the MI group (7.2, 0.5 to 13.8) were lower than that in the control group. GDS scores in the MBMT group (2.9, 1.7 to 4.0) and the MI group (1.7, 0.6 to 2.9) were lower than those in the control group. Compared with the MI group, the MBMT group improved emotional awareness sub-scores in DERS (2.1, 0.2 to 4.1) and appeared to lower depression in GDS scores (1.1, -0.0 to 2.3; p = 0.053). Conclusion: MBMT seems more beneficial than MI alone for improving emotional regulation in older women with blindness. The combination of mindfulness and music can generate a synergetic effect by enhancing both attention and appraisal components within the emotional-regulation process. Trial registration: ClinicalTrials.gov, NCT05583695.

Multi-Modality, Multi-Dimensional Characterization of Pediatric Non-Alcoholic Fatty Liver Disease.

Non-alcoholic fatty liver disease is a multifaceted disease that progresses through multiple phases; it involves metabolic as well as structural changes. These alterations can be measured directly or indirectly through blood, non-invasive imaging, and/or tissue analyses. While some studies have evaluated the correlations between two sets of measurements (e.g., histopathology with cross-sectional imaging or blood biomarkers), the interrelationships, if any, among histopathology, clinical blood profiles, cross-sectional imaging, and metabolomics in a pediatric cohort remain unknown. We created a multiparametric clinical MRI-histopathologic NMR network map of pediatric NAFLD through multimodal correlation networks, in order to gain insight into how these different sets of measurements are related. We found that leptin and other blood markers were correlated with many other measurements; however, upon filtering out the blood biomarkers, the network was decomposed into three independent hubs centered around histopathological features, each with associated MRI and plasma metabolites. These multi-modality maps could serve as a framework for characterizing disease status and progression and could potentially guide medical interventions.

Characterization of the short-term temporal variability of road dust chemical mixtures and meteorological profiles in a near-road urban site in British Columbia.

Implications: Non-tailpipe emissions driven by springtime road dust in northern latitude communities is increasing in importance for air pollution control and improving our understanding of the health effects of chemical mixtures from particulate matter exposure. High-volume samples from a near-road site indicated that days affected by springtime road dust are substantively different from other days with respect to particulate matter mixture composition and meteorological drivers. The high load of trace elements in PM10 on high road dust days has important implications for the acute toxicity of inhaled air and subsequent health effects. The complex relationships between road dust and weather identified in this study may facilitate further research on the health effects of chemical mixtures related to road dust while also highlighting potential changes in this unique form of air pollution as the climate changes.

Chronic Diseases Associated With Mortality in British Columbia, Canada During the 2021 Western North America Extreme Heat Event.

Western North America experienced an unprecedented extreme heat event (EHE) in 2021, characterized by high temperatures and reduced air quality. There were approximately 740 excess deaths during the EHE in the province of British Columbia, making it one of the deadliest weather events in Canadian history. It is important to understand who is at risk of death during EHEs so that appropriate public health interventions can be developed. This study compares 1,614 deaths from 25 June to 02 July 2021 with 6,524 deaths on the same dates from 2012 to 2020 to examine differences in the prevalence of 26 chronic diseases between the two groups. Conditional logistic regression was used to estimate the odds ratio (OR) for each chronic disease, adjusted for age, sex, and all other diseases, and conditioned on geographic area. The OR [95% confidence interval] for schizophrenia among all EHE deaths was 3.07 [2.39, 3.94], and was larger than the ORs for other conditions. Chronic kidney disease and ischemic heart disease were also significantly increased among all EHE deaths, with ORs of 1.36 [1.18, 1.56] and 1.18 [1.00, 1.38], respectively. Chronic diseases associated with EHE mortality were somewhat different for deaths attributed to extreme heat, deaths with an unknown/pending cause, and non-heat-related deaths. Schizophrenia was the only condition associated with significantly increased odds of EHE mortality in all three subgroups. These results confirm the role of mental illness in EHE risk and provide further impetus for interventions that target specific groups of high-risk individuals based on underlying chronic conditions.

Construction of a radiogenomic association map of pancreatic ductal adenocarcinoma.

BACKGROUND: Pancreatic adenocarcinoma (PDAC) persists as a malignancy with high morbidity and mortality that can benefit from new means to characterize and detect these tumors, such as radiogenomics. In order to address this gap in the literature, constructed a transcriptomic-CT radiogenomic (RG) map for PDAC. METHODS: In this Institutional Review Board approved study, a cohort of subjects (n = 50) with gene expression profile data paired with histopathologically confirmed resectable or borderline resectable PDAC were identified. Studies with pre-operative contrast-enhanced CT images were independently assessed for a set of 88 predefined imaging features. Microarray gene expression profiling was then carried out on the histopathologically confirmed pancreatic adenocarcinomas and gene networks were constructed using Weighted Gene Correlation Network Analysis (WCGNA) (n = 37). Data were analyzed with bioinformatics analyses, multivariate regression-based methods, and Kaplan-Meier survival analyses. RESULTS: Survival analyses identified multiple features of interest that were significantly associated with overall survival, including Tumor Height (P = 0.014), Tumor Contour (P = 0.033), Tumor-stroma Interface (P = 0.014), and the Tumor Enhancement Ratio (P = 0.047). Gene networks for these imaging features were then constructed using WCGNA and further annotated according to the Gene Ontology (GO) annotation framework for a biologically coherent interpretation of the imaging trait-associated gene networks, ultimately resulting in a PDAC RG CT-transcriptome map composed of 3 stage-independent imaging traits enriched in metabolic processes, telomerase activity, and podosome assembly (P < 0.05). CONCLUSIONS: A CT-transcriptomic RG map for PDAC composed of semantic and quantitative traits with associated biology processes predictive of overall survival, was constructed, that serves as a reference for further mechanistic studies for non-invasive phenotyping of pancreatic tumors.

International Pediatric Otolaryngology Group: Consensus guidelines on the diagnosis and management of non-tuberculous mycobacterial cervicofacial lymphadenitis.

INTRODUCTION: Non-tuberculous mycobacterial (NTM) infection commonly manifests as subacute or chronic cervicofacial lymphadenitis in immunocompetent children. The optimal management of this pathology remains controversial. OBJECTIVES: This international consensus guideline aims to understand the practice patterns for NTM cervicofacial lymphadenitis and to address the primary diagnostic and management challenges. METHODS: A modified three-iterative Delphi method was used to establish expert recommendations on the diagnostic considerations, expectant or medical management, and operative considerations. The recommendations herein are derived from current expert consensus and critical review of the literature. SETTING: Multinational, multi-institutional, tertiary pediatric hospitals. RESULTS: Consensus recommendations include diagnostic work-up, goals of treatment and management options including surgery, prolonged antibiotic therapy and observation. CONCLUSION: The recommendations formulated in this International Pediatric Otolaryngology Group (IPOG) consensus statement on the diagnosis and management of patients with NTM lymphadenitis are aimed at improving patient care and promoting future hypothesis generation.

Multi-center validation of an artificial intelligence system for detection of COVID-19 on chest radiographs in symptomatic patients.

OBJECTIVES: While chest radiograph (CXR) is the first-line imaging investigation in patients with respiratory symptoms, differentiating COVID-19 from other respiratory infections on CXR remains challenging. We developed and validated an AI system for COVID-19 detection on presenting CXR. METHODS: A deep learning model (RadGenX), trained on 168,850 CXRs, was validated on a large international test set of presenting CXRs of symptomatic patients from 9 study sites (US, Italy, and Hong Kong SAR) and 2 public datasets from the US and Europe. Performance was measured by area under the receiver operator characteristic curve (AUC). Bootstrapped simulations were performed to assess performance across a range of potential COVID-19 disease prevalence values (3.33 to 33.3%). Comparison against international radiologists was performed on an independent test set of 852 cases. RESULTS: RadGenX achieved an AUC of 0.89 on 4-fold cross-validation and an AUC of 0.79 (95%CI 0.78-0.80) on an independent test cohort of 5,894 patients. Delong's test showed statistical differences in model performance across patients from different regions (p < 0.01), disease severity (p < 0.001), gender (p < 0.001), and age (p = 0.03). Prevalence simulations showed the negative predictive value increases from 86.1% at 33.3% prevalence, to greater than 98.5% at any prevalence below 4.5%. Compared with radiologists, McNemar's test showed the model has higher sensitivity (p < 0.001) but lower specificity (p < 0.001). CONCLUSION: An AI model that predicts COVID-19 infection on CXR in symptomatic patients was validated on a large international cohort providing valuable context on testing and performance expectations for AI systems that perform COVID-19 prediction on CXR. KEY POINTS: • An AI model developed using CXRs to detect COVID-19 was validated in a large multi-center cohort of 5,894 patients from 9 prospectively recruited sites and 2 public datasets. • Differences in AI model performance were seen across region, disease severity, gender, and age. • Prevalence simulations on the international test set demonstrate the model's NPV is greater than 98.5% at any prevalence below 4.5%.

Evidence to Eliminate Double-Leg Conditions From the Modified Balance Error Scoring System and Balance Error Scoring System.

OBJECTIVE: The purpose of our study was to assess the differences between the Balance Error Scoring System (BESS), modified BESS (mBESS), and both measures with the double-leg (DL) stances removed [BESS-revised (BESS-R) and mBESS-revised (mBESS-R)] among healthy and concussed collegiate student-athletes. DESIGN: Retrospective, repeated-measures cohort study. SETTING: Clinical. PATIENTS OR OTHER PARTICIPANTS: Healthy and concussed collegiate athletes (baseline n = 622, postinjury n = 41) from 12 National Collegiate Athletic Association Division I sports cheer and dance at a single university. INTERVENTION OR INDEPENDENT VARIABLES: Balance Error Scoring System, mBESS, BESS-R, and mBESS-R test versions from baseline and postinjury testing. MAIN OUTCOME MEASURES: The mBESS and BESS and their revised versions with DL stances removed (mBESS-R and BESS-R) scores were compared at baseline. Baseline and postinjury scores for all 4 BESS variations and the 6 BESS conditions were compared for those who sustained a concussion. RESULTS: The BESS and BESS-R were statistically different at baseline for the entire sample (99.6% confidence interval 0.32, 0.38, P > 0.0001). None of the other comparisons were significantly different ( P > 0.004). CONCLUSION: Although our results do suggest statistically significant differences between the BESS and BESS-R test versions, they do not represent clinically meaningful differences. The greatest mean difference between all test versions was <1 error; therefore, these BESS versions may not be specific enough to identify balance deficits at baseline or postinjury. Elimination of the time intensive DL measures in the revised BESS variations may be a more clinically practical alternative.

Concussion Baseline Retesting Is Necessary When Initial Scores Are Low.

OBJECTIVE: To determine whether (1) initial baseline scores are significantly better for those who have valid (initial valid) versus invalid scores (initial invalid) on their concussion baseline testing, (2) retesting results in significantly improved baseline scores, and (3) there is a significant difference in scores between those who have valid scores on their initial attempt and those who retook baseline tests (retest valid). DESIGN: Prospective, repeated-measures. SETTING: Two years of collegiate preparticipation concussion baseline testing. PARTICIPANTS: Five hundred forty-seven male and female Division I collegiate athletes (19.02 ± 1.31 years, female = 217). INDEPENDENT VARIABLES: Participants were divided into initial valid and initial invalid. The retest group was further divided into their initial (initial invalid) and final valid attempt (retest valid). MAIN OUTCOME MEASURES: Data were analyzed to determine the relationship between the 3 groups and overall initial and final scores on 28 individual items: total symptoms score, coordination, near-point convergence, CNS Vital Signs (CNSVS), Senaptec Sensory Station, and Neurocom Sensory Organization Test (SOT). RESULTS: The initial valid group scored significantly better than the initial invalid group on 8 CNSVS items and 5 Senaptec items (P < 0.002). The retest valid scores were significantly better compared with the initial invalid scores on 17 items (P < 0.002). CONCLUSIONS: Retesting is recommended for individuals who score below acceptable ranges. This is important because athletes may experience a learning effect and are highly motivated during postinjury testing, so accurate baseline scores are imperative for athlete safety. Completion time for the coordination test may be a more informative option.

Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment.

Image regression tasks for medical applications, such as bone mineral density (BMD) estimation and left-ventricular ejection fraction (LVEF) prediction, play an important role in computer-aided disease assessment. Most deep regression methods train the neural network with a single regression loss function like MSE or L1 loss. In this paper, we propose the first contrastive learning framework for deep image regression, namely AdaCon, which consists of a feature learning branch via a novel adaptive-margin contrastive loss and a regression prediction branch. Our method incorporates label distance relationships as part of the learned feature representations, which allows for better performance in downstream regression tasks. Moreover, it can be used as a plug-and-play module to improve performance of existing regression methods. We demonstrate the effectiveness of AdaCon on two medical image regression tasks, i.e., bone mineral density estimation from X-ray images and left-ventricular ejection fraction prediction from echocardiogram videos. AdaCon leads to relative improvements of 3.3% and 5.9% in MAE over state-of-the-art BMD estimation and LVEF prediction methods, respectively.

Machine learning application for the prediction of SARS-CoV-2 infection using blood tests and chest radiograph.

Triaging and prioritising patients for RT-PCR test had been essential in the management of COVID-19 in resource-scarce countries. In this study, we applied machine learning (ML) to the task of detection of SARS-CoV-2 infection using basic laboratory markers. We performed the statistical analysis and trained an ML model on a retrospective cohort of 5148 patients from 24 hospitals in Hong Kong to classify COVID-19 and other aetiology of pneumonia. We validated the model on three temporal validation sets from different waves of infection in Hong Kong. For predicting SARS-CoV-2 infection, the ML model achieved high AUCs and specificity but low sensitivity in all three validation sets (AUC: 89.9-95.8%; Sensitivity: 55.5-77.8%; Specificity: 91.5-98.3%). When used in adjunction with radiologist interpretations of chest radiographs, the sensitivity was over 90% while keeping moderate specificity. Our study showed that machine learning model based on readily available laboratory markers could achieve high accuracy in predicting SARS-CoV-2 infection.

Tissue clearing techniques for three-dimensional optical imaging of intact human prostate and correlations with multi-parametric MRI.

BACKGROUND: Tissue clearing technologies have enabled remarkable advancements for in situ characterization of tissues and exploration of the three-dimensional (3D) relationships between cells, however, these studies have predominantly been performed in non-human tissues and correlative assessment with clinical imaging has yet to be explored. We sought to evaluate the feasibility of tissue clearing technologies for 3D imaging of intact human prostate and the mapping of structurally and molecularly preserved pathology data with multi-parametric volumetric MR imaging (mpMRI). METHODS: Whole-mount prostates were processed with either hydrogel-based CLARITY or solvent-based iDISCO. The samples were stained with a nuclear dye or fluorescently labeled with antibodies against androgen receptor, alpha-methylacyl coenzyme-A racemase, or p63, and then imaged with 3D confocal microscopy. The apparent diffusion coefficient and Ktrans maps were computed from preoperative mpMRI. RESULTS: Quantitative analysis of cleared normal and tumor prostate tissue volumes displayed differences in 3D tissue architecture, marker-specific cell staining, and cell densities that were significantly correlated with mpMRI measurements in this initial, pilot cohort. CONCLUSIONS: 3D imaging of human prostate volumes following tissue clearing is a feasible technique for quantitative radiology-pathology correlation analysis with mpMRI and provides an opportunity to explore functional relationships between cellular structures and cross-sectional clinical imaging.

Prospective Evaluation of Incidental Pituitary Imaging Findings in the Sella Turcica.

PURPOSE: Reported rates of incidentally discovered pituitary sellar lesions vary widely, at least in part because of the inadvertent inclusion of patients with a history suspicious for a pituitary disorder. We prospectively evaluated the incidence of truly incidental sellar findings detected on imaging at a large academic medical center. METHODS: Deidentified data were extracted from the electronic medical record of adults who underwent diagnostic computed tomography (CT) or magnetic resonance imaging (MRI) over a 1-year period for any cause unrelated to known or suspected pituitary disorder both in inpatient and outpatient settings. Patients with International Classification of Diseases, Ninth Revision, (ICD-9) and Tenth Revision (ICD-10) codes indicative of a sellar lesion and those with symptoms suggestive of sellar/parasellar mass effects were excluded. RESULTS: Of 9572 scans performed during the 1-year study period, 3840 met the inclusion criteria to comprise the study cohort; 13 were manually excluded because of findings or symptoms of sellar masses not otherwise captured. The overwhelming majority of evaluable images (n = 3782) showed no sellar lesions. Truly incidental sellar findings were detected in 45 (1.2%), most commonly among inpatients (P < .001). Partially empty sella and empty sella were the most frequent findings, and were twice as likely to be detected on MRI vs CT. All other incidentally discovered lesions, including one microadenoma and one macroadenoma, were detected only by MRI. CONCLUSION: Frequency of incidental sellar lesions in patients with no known or suspected history of pituitary disorder is low. Given the small likelihood of aggressive behavior in these lesions, the clinical significance of truly incidentally discovered sellar lesions should not be overestimated.

International Pediatric Otolaryngology Group (IPOG) management recommendations: Pediatric tracheostomy decannulation.

OBJECTIVES: To provide recommendations to otolaryngologists, pulmonologists, and allied clinicians for tracheostomy decannulation in pediatric patients. METHODS: An iterative questionnaire was used to establish expert recommendations by the members of the International Pediatric Otolaryngology Group. RESULTS: Twenty-six members completed the survey. Recommendations address patient criteria for decannulation readiness, airway evaluation prior to decannulation, decannulation protocol, and follow-up after both successful and failed decannulation. CONCLUSION: Tracheostomy decannulation recommendations are aimed at improving patient-centered care, quality and safety in children with tracheostomies.

Paediatric tonsillectomy in England: A cohort study of clinical practice and outcomes using Hospital Episode Statistics data (2008-2019).

OBJECTIVES: To assess the safety of paediatric tonsillectomy procedures conducted in NHS hospitals in England between 2008 and 2019. DESIGN: Retrospective observational cohort study using Hospital Episode Statistics (HES) data. SETTING: Acute NHS trusts in England conducting paediatric tonsillectomy procedures. PARTICIPANTS: Children (≤16 years old) undergoing bilateral tonsillectomy. MAIN OUTCOME MEASURES: Number of tonsillectomies performed per year by procedural method. In-hospital complications including return to theatre for arrest of haemorrhage. Readmission within 28 days, including those for pain, haemorrhage and surgical arrest of haemorrhage. Long-term outcomes: all-cause mortality, revision tonsillectomy. RESULTS: A total of 318 453 paediatric tonsillectomies were performed from 2008 to 2019:278,772 dissection (87.5%) and 39 681 coblation (12.5%). The proportion of tonsillectomy performed using coblation increased from 7% in 2008/9 to 27% in 2018/9. Five patients died in hospital (including 4 due to respiratory complications). In-hospital complications occurred in 4202 children (1.3%), with the most frequent being haemorrhage. Within 28 days of tonsillectomy, 28 170 patients (8.8%) were readmitted and 7 deaths occurred. Readmission rates for haemorrhage and pain have increased since 2008. The proportion of children undergoing revision tonsillectomy procedures within 5 years following coblation tonsillectomy (1.4%) was approximately double that of dissection (0.6%). CONCLUSIONS: Clinical practice of paediatric tonsillectomy has changed in England over the past 11 years. The overall mortality rate associated with the procedure is 0.0037%. Differences in outcomes have been identified for different procedural methods. However, routine administrative data are limited in differentiating procedural detail (eg we are unable to differentiate intra or extra-capsular techniques from current clinical coding of tonsillectomy procedures). Therefore, prospective national data collection or more granular clinical coding is essential to capture relative outcomes of the different tonsillectomy methods and techniques being used in the NHS.

Computerized attention training for visually impaired older adults with dementia: a case study.

Dementia causes disorders in multiple higher cortical functions. Visual impairment could further impact cognition in those with dementia. This study reports the results of a computerized attention training program in a patient with dementia and visual impairment. The case involves a 98-year-old woman with bilateral maculopathy and moderate dementia. The program consisted of pre- and post-assessments and training sessions. Assessments included the Cantonese version of the Mini-Mental State Examination, the digit span forward test, the Chinese version of the Verbal Learning Test (CVVLT), and the Test of Attentional Performance (TAP). Training sessions were conducted once to twice a week for a total of 8 45-minute sessions. The participant showed a decrease in the CVVLT score and improvements in TAP parameters. The results indicated that, in visually impaired older adults with dementia, attention and processing speed (measured by a sensitive test such as TAP) could potentially be improved with appropriate computerized training.

A demência causa distúrbios em várias funções corticais superiores. O comprometimento da visão pode impactar ainda mais a cognição em pessoas com demência. Este estudo relata os resultados de um programa de treinamento computadorizado de atenção em um paciente com demência e deficiência visual, uma mulher de 98 anos com maculopatia bilateral e demência moderada. O programa consistia em avaliações e pré- e pós-sessões de treinamento. As avaliações incluíram o Mini-Exame do Estado Mental em Cantonês, o teste de extensão de dígitos, a versão chinesa do Teste de Aprendizagem Verbal (CVVLT) e o Teste de Desempenho de Atenção (TAP). As sessões de treinamento foram realizadas uma a duas vezes por semana, com um total de 8 sessões de 45 minutos. A paciente apresentou diminuição no escore CVVLT e melhora nos parâmetros TAP. Os resultados indicaram que em idosos com deficiência visual com demência, a atenção e a velocidade de processamento (medida por um teste sensível como o TAP) poderiam ser melhoradas com a realização de treinamento computadorizado adequado.

Computerized attention training for visually impaired older adults with dementia: a case study / Treino de atenção computadorizado para idosos com comprometimento visual e demência: um estudo de caso

ABSTRACT. Dementia causes disorders in multiple higher cortical functions. Visual impairment could further impact cognition in those with dementia. This study reports the results of a computerized attention training program in a patient with dementia and visual impairment. The case involves a 98-year-old woman with bilateral maculopathy and moderate dementia. The program consisted of pre- and post-assessments and training sessions. Assessments included the Cantonese version of the Mini-Mental State Examination, the digit span forward test, the Chinese version of the Verbal Learning Test (CVVLT), and the Test of Attentional Performance (TAP). Training sessions were conducted once to twice a week for a total of 8 45-minute sessions. The participant showed a decrease in the CVVLT score and improvements in TAP parameters. The results indicated that, in visually impaired older adults with dementia, attention and processing speed (measured by a sensitive test such as TAP) could potentially be improved with appropriate computerized training.

RESUMO. A demência causa distúrbios em várias funções corticais superiores. O comprometimento da visão pode impactar ainda mais a cognição em pessoas com demência. Este estudo relata os resultados de um programa de treinamento computadorizado de atenção em um paciente com demência e deficiência visual, uma mulher de 98 anos com maculopatia bilateral e demência moderada. O programa consistia em avaliações e pré- e pós-sessões de treinamento. As avaliações incluíram o Mini-Exame do Estado Mental em Cantonês, o teste de extensão de dígitos, a versão chinesa do Teste de Aprendizagem Verbal (CVVLT) e o Teste de Desempenho de Atenção (TAP). As sessões de treinamento foram realizadas uma a duas vezes por semana, com um total de 8 sessões de 45 minutos. A paciente apresentou diminuição no escore CVVLT e melhora nos parâmetros TAP. Os resultados indicaram que em idosos com deficiência visual com demência, a atenção e a velocidade de processamento (medida por um teste sensível como o TAP) poderiam ser melhoradas com a realização de treinamento computadorizado adequado.

International Pediatric Otolaryngology Group (IPOG) consensus recommendations: Management of suprastomal collapse in the pediatric population.

INTRODUCTION: Suprastomal Collapse (SuStCo) is a common complication of prolonged tracheostomy in children. There is a paucity of literature on this subject, especially regarding how to manage significant suprastomal collapse that prevents safe decannulation. OBJECTIVE: Provide a definition, classification system, and recommend management options for significant suprastomal collapse in children with tracheostomy. METHODS: Members of the International Pediatric Otolaryngology Group (IPOG) who are experts in pediatric airway conditions were surveyed and results were refined using a modified Delphi method. RESULTS: Consensus was defined as > 70% agreement on a subject. The experts achieved consensus: CONCLUSION: This consensus statement provides recommendations for medical specialists who manage infants and children with tracheostomies with significant Suprastomal Collapse. It provides a classification system to facilitate diagnosis and treatment options for this condition.