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Objective: Our objective was to identify the hospital- and community-related factors associated with the hospital-level rate of potentially unnecessary interfacility transfers (IFTs) for pediatric patients with asthma exacerbations., Methods: We analyzed California Emergency Department (ED) data from 2016 to 2019 to capture ED visits where a pediatric patient (age, 2-17 years) presented with an asthma exacerbation and was transferred to another ED or acute care hospital. The primary outcome was hospital-level rate of potentially unnecessary IFTs, defined as a visit where length of stay after transfer was <24 hours and no advanced services (eg, critical care) were used. Hospital- and community-related characteristics included urbanicity, teaching hospital status, availability of pediatric resources in the sending facility and patient's community, pediatric patient volume, and Social Vulnerability Index. We described and compared hospitals in the top quartile of potentially unnecessary IFT rate versus all others and used a multivariable modified Poisson model to identify factors associated with potentially unnecessary IFT., Results: A total of 325 sending hospitals were included, with a median 573 pediatric asthma visits (interquartile range, 183-1309) per hospital annually. Nearly half of the hospitals (145/325, 45%) sent a potentially unnecessary IFT. Most (90%) hospitals were urban, 9% were teaching hospitals, 5% had >500 beds, and 22% had a pediatric ED on-site. Factors associated with higher adjusted prevalence of potentially unnecessary IFT included availability of pediatric telehealth (prevalence ratio [PR], 1.5; 95% confidence interval [CI], 1.2-2.0), increased pediatric volume (eg, <1800 vs ≥10,000 visits: PR, 2.6; 95% CI, 1.4-4.7), and higher community Social Vulnerability Index (PR, 1.5; 95% CI, 1.1-1.9)., Conclusions: Several hospital- and community-related factors were associated with potentially unnecessary IFTs among pediatric patients presenting to the ED with asthma exacerbations. These findings provide insight into disparities in potentially unnecessary IFT across communities and can guide the development of future interventions., Competing Interests: Disclosure: The authors declare no conflict of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Glioblastoma, a highly aggressive primary brain tumor, is associated with poor patient outcomes. Although magnetic resonance imaging (MRI) plays a critical role in diagnosing, characterizing, and forecasting glioblastoma progression, public MRI repositories present significant drawbacks, including insufficient postoperative and follow-up studies as well as expert tumor segmentations. To address these issues, we present the "Río Hortega University Hospital Glioblastoma Dataset (RHUH-GBM)," a collection of multiparametric MRI images, volumetric assessments, molecular data, and survival details for glioblastoma patients who underwent total or near-total enhancing tumor resection. The dataset features expert-corrected segmentations of tumor subregions, offering valuable ground truth data for developing algorithms for postoperative and follow-up MRI scans., (© 2023 The Author(s).)

Loss of sensory hair cells leads to deafness and balance deficiencies. In contrast to mammalian hair cells, zebrafish ear and lateral line hair cells regenerate from poorly characterized support cells. Equally ill-defined is the gene regulatory network underlying the progression of support cells to differentiated hair cells. scRNA-Seq of lateral line organs uncovered five different support cell types, including quiescent and activated stem cells. Ordering of support cells along a developmental trajectory identified self-renewing cells and genes required for hair cell differentiation. scRNA-Seq analyses of fgf3 mutants, in which hair cell regeneration is increased, demonstrates that Fgf and Notch signaling inhibit proliferation of support cells in parallel by inhibiting Wnt signaling. Our scRNA-Seq analyses set the foundation for mechanistic studies of sensory organ regeneration and is crucial for identifying factors to trigger hair cell production in mammals. The data is searchable and publicly accessible via a web-based interface., Competing Interests: ML, DD, NK, SB, HB, MS, TG, AR, EB, AP, KH, AP, JH, TP No competing interests declared, (© 2019, Lush et al.)

Preimplantation genetic diagnosis of aneuploidy (PGD-A) with comprehensive chromosome analysis has been known to improve pregnancy outcomes. Accuracy in detecting sex chromosomes becomes important when selecting against embryos at risk for sex-linked disorders. A total of 21,356 PGD-A cycles consisting of day-3 (cleavage) or day-5 (blastocyst) biopsies were received at the same laboratory for PGD-A via fluorescence in situ hybridization (FISH) or array comparative genome hybridization (aCGH) from multiple fertility centres. The misdiagnosis rates were 0.12% (Wilson 95% CI 0.05 to 0.25%) in day-3 FISH cycles, 0.48% (Wilson 95% CI 0.19 to 1.22%) in day-3 aCGH cycles and 0.0% (Wilson 95% CI 0 to 0.26) in day-5 aCGH cycles. Although rare, the likely causative biological event for true misdiagnosis is embryonic XX/XY mosaicism. Reanalysis of 1219 abnormal cleavage-stage research embryos revealed a 73% incidence of minor and major mosaicism. Only four (0.3%) embryos were found to be diploid and contained XX and XY cells that could potentially account for the misdiagnosis of sex. Our investigation identified errors leading to misdiagnosis and their attribution to specific events during PGD-A testing. The reported misdiagnosis rates suggest that PGD-A for sex determination is highly accurate, particularly when using aCGH applied to blastocyst biopsies., (Copyright © 2016. Published by Elsevier Ltd.)