Competency-Based Assessment Tool for Pediatric Tracheotomy: International Modified Delphi Consensus

Objectives/Hypothesis: Create a competency-based assessment tool for pediatric tracheotomy. Study Design: Blinded, modified, Delphi consensus process. Methods: Using the REDCap database, a list of 31 potential items was circulated to 65 expert surgeons who perform pediatric tracheotomy. In the first round, items were rated as “keep” or “remove,” and comments were incorporated. In the second round, experts were asked to rate the importance of each item on a seven-point Likert scale. Consensus criteria were determined a priori with a goal of 7 to 25 final items. Results: The first round achieved a response rate of 39/65 (60.0%), and returned questionnaires were 99.5% complete. All items were rated as “keep,” and 137 comments were incorporated. In the second round, 30 task-specific and seven previously validated global rating items were distributed, and the response rate was 44/65 (67.7%), with returned questionnaires being 99.3% complete. Of the Task-Specific Items, 13 reached consensus, 10 were near consensus, and 7 did not achieve consensus. For the 7 previously validated global rating items, 5 reached consensus and two were near consensus. Conclusions: It is feasible to reach consensus on the important steps involved in pediatric tracheotomy using a modified Delphi consensus process. These items can now be considered to create a competency-based assessment tool for pediatric tracheotomy. Such a tool will hopefully allow trainees to focus on the important aspects of this procedure and help teaching programs standardize how they evaluate trainees during this procedure. Level of Evidence: 5 Laryngoscope, 130:2700–2707, 2020

COVID- 19 pandemic and health care disparities in head and neck cancer: Scanning the horizon

The COVID- 19 pandemic has profoundly disrupted head and neck cancer (HNC) care delivery in ways that will likely persist long term. As we scan the horizon, this crisis has the potential to amplify preexisting racial/ethnic disparities for patients with HNC. Potential drivers of disparate HNC survival resulting from the pandemic include (a) differential access to telemedicine, timely diagnosis, and treatment; (b) implicit bias in initiatives to triage, prioritize, and schedule HNC- directed therapy; and (c) the marked changes in employment, health insurance, and dependent care. We present four strategies to mitigate these disparities: (a) collect detailed data on access to care by race/ethnicity, income, education, and community; (b) raise awareness of HNC disparities; (c) engage stakeholders in developing culturally appropriate solutions; and (d) ensure that surgical prioritization protocols minimize risk of racial/ethnic bias. Collectively, these measures address social determinants of health and the moral imperative to provide equitable, high- quality HNC care.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/156210/2/hed26345.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/156210/1/hed26345_am.pd

Structure and Functions of Pediatric Aerodigestive Programs: A Consensus Statement

Aerodigestive programs provide coordinated interdisciplinary care to pediatric patients with complex congenital or acquired conditions affecting breathing, swallowing, and growth. Although there has been a proliferation of programs, as well as national meetings, interest groups and early research activity, there is, as of yet, no consensus definition of an aerodigestive patient, standardized structure, and functions of an aerodigestive program or a blueprint for research prioritization. The Delphi method was used by a multidisciplinary and multi-institutional panel of aerodigestive providers to obtain consensus on 4 broad content areas related to aerodigestive care: (1) definition of an aerodigestive patient, (2) essential construct and functions of an aerodigestive program, (3) identification of aerodigestive research priorities, and (4) evaluation and recognition of aerodigestive programs and future directions. After 3 iterations of survey, consensus was obtained by either a supermajority of 75% or stability in median ranking on 33 of 36 items. This included a standard definition of an aerodigestive patient, level of participation of specific pediatric disciplines in a program, essential components of the care cycle and functions of the program, feeding and swallowing assessment and therapy, procedural scope and volume, research priorities and outcome measures, certification, coding, and funding. We propose the first consensus definition of the aerodigestive care model with specific recommendations regarding associated personnel, infrastructure, research, and outcome measures. We hope that this may provide an initial framework to further standardize care, develop clinical guidelines, and improve outcomes for aerodigestive patients

Analysis of Decision Boundaries Generated by Constructive Neural Network Learning Algorithms

Constructive learning algorithms offer an approach to incremental construction of near-minimal artificial neural networks for pattern classification. Examples of such algorithms include Tower, Pyramid, Upstart, and Tiling algorithms which construct multilayer networks of threshold logic units (or, multi-layer perceptrons). These algorithms differ in terms of the topology of the networks that they construct which in turn biases the search for a decision boundary that correctly classifies the training set. This paper presents an analysis of such algorithms from a geometrical perspective. This analysis helps in a better characterization of the search bias employed by the different algorithms in relation to the geometrical distribution of examples in the training set. Simple experiments with non linearly separable training sets support the results of mathematical analysis of such algorithms. This suggests the possibility of designing more efficient constructive algorithms that dynamically choose among different biases to build near-minimal networks for pattern classification.</p

The Relationship between Croup and Gastroesophageal Reflux: A Systematic Review and Meta-Analysis

Objective: The mechanism by which recurrent croup occurs is unknown. Gastroesophageal reflux is commonly implicated, although this relationship is only loosely documented. We conducted a systematic review with a meta-analysis component to evaluate the relationship between recurrent croup and gastroesophageal reflux disease (GERD), and to assess for evidence of improvement in croup symptoms when treated. Style Design: Systematic Review and Meta Analysis. Methods: We searched five separate databases. Studies were included if they discussed the relationship between croup and GERD in children, \u3e5 subjects, and available in English. Literature retrieved was assessed according to pre-specified criteria. Retrieved articles were reviewed by two independent authors and decisions mediated by a third author. If there was a difference of opinion after first review, a second review was performed to obtain consensus. Heterogeneity was calculated and summarized in forest plots. Results: Of 346 initial records, 15 met inclusion criteria. These were two retrospective cohort and 13 cross-sectional studies. Thirteen of 15 articles support an association between recurrent croup and GERD. Although heterogeneity is high among studies that reported prevalence of GERD, there is less uncertainty in results for improvement to recurrent croup after GERD treatment. Most studies lacked a control group and all carry a moderate-to-high risk of bias. Conclusion: There is limited evidence linking GERD to recurrent croup; Further research is needed to assess for causality as most studies are retrospective, lack a control group, and have a study design exposing them to bias. Patients treated with reflux medication appear to demonstrate a reduced incidence of croup symptoms. Level of Evidence: 1 Laryngoscope, 131:209–217, 2021

Node-pore sensing enables label-free surface-marker profiling of single cells.

Flow cytometry is a ubiquitous, multiparametric method for characterizing cellular populations. However, this method can grow increasingly complex with the number of proteins that need to be screened simultaneously: spectral emission overlap of fluorophores and the subsequent need for compensation, lengthy sample preparation, and multiple control tests that need to be performed separately must all be considered. These factors lead to increased costs, and consequently, flow cytometry is performed in core facilities with a dedicated technician operating the instrument. Here, we describe a low-cost, label-free microfluidic method that can determine the phenotypic profiles of single cells. Our method employs Node-Pore Sensing to measure the transit times of cells as they interact with a series of different antibodies, each corresponding to a specific cell-surface antigen, that have been functionalized in a single microfluidic channel. We demonstrate the capabilities of our method not only by screening two acute promyelocytic leukemia human cells lines (NB4 and AP-1060) for myeloid antigens, CD13, CD14, CD15, and CD33, simultaneously, but also by distinguishing a mixture of cells of similar size—AP-1060 and NALM-1—based on surface markers CD13 and HLA-DR. Furthermore, we show that our method can screen complex subpopulations in clinical samples: we successfully identified the blast population in primary human bone marrow samples from patients with acute myeloid leukemia and screened these cells for CD13, CD34, and HLA-DR. We show that our label-free method is an affordable, highly sensitive, and user-friendly technology that has the potential to transform cellular screening at the benchside