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7,562 results for “Pediatrics”
Predictive scoring for risk of complications in pediatric dengue infection
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Targeted indication of imaging for detection of vesicoureteric reflux after pediatric febrile urinary tract infections based on a multiparametric computational tool
<p>This is the original data used for our study on differentiated indication of a voiding cystourethrography after pediatric febrile urinary tract infections. </p>
Data from: Pediatric intensive care unit admissions for COVID-19: insights using state-level data
<p><i>Introduction</i></p> <p>Intensive care has played a pivotal role during the COVID-19 pandemic as many patients developed severe pulmonary complications. The availability of information in pediatric intensive care (PICUs) remains limited. The purpose of this study is to characterize COVID-19 positive admissions (CPAs) in the United States and to determine factors that may impact those admissions.</p> <p> </p> <p><i>Materials and Methods</i></p> <p>This is a retrospective cohort study using data from the COVID-19 dashboard virtual pediatric system) containing information regarding respiratory support and comorbidities for all CPAs between March and April 2020. The state level data contained 13 different factors from population density, comorbid conditions and social distancing score. The absolute CPAs count was converted to frequency using the state's population. Univariate and multivariate regression analyses were performed to assess the association between CPAs frequency and endpoints.</p> <p> </p> <p><i>Results</i></p> <p>A total of 205 CPAs were reported by 167 PICUs across 48 states. The estimated CPAs frequency was 2.8 per million children. A total of 3,235 tests were conducted with 6.3% positive tests. Children above 11 years of age comprised 69.7% of the total cohort and 35.1% had moderated or severe comorbidities. The median duration of a CPA was 4.9 days [1.25-12.00 days]. Out of the 1,132 total CPA days, 592 [52.2%] were for mechanical ventilation. The inpatient mortalities were 3 [1.4%]. Multivariate analyses demonstrated an association between CPAs with greater population density [beta-coefficient 0.01, p<0.01] and increased percent of children receiving the influenza vaccination [beta-coefficient 0.17, p=0.01].</p> <p> </p> <p><i>Conclusions</i></p> <p>Inpatient mortality during PICU CPAs is relatively low at 1.4%. CPA frequency seems to be impacted by population density while characteristics of illness severity appear to be associated with ultraviolet index, temperature, and comorbidities such as Type 1 diabetes. These factors should be included in future studies using patient-level data.</p>
Tri-modal single cell profiling reveals a distinct pediatric CD8αα T cell subset and broad age-related molecular reprogramming across the T cell compartment
<p>Age-associated changes in the T cell compartment are well-described. However, limitations of current single- or bi-modal single-cell assays, including flow cytometry, RNA-seq, and CITE-seq, have restricted our ability to deconvolve more complex cellular and molecular changes. Here, we profile more than 300,000 single T cells from healthy children (11–13 yrs) and older adults (55–65 yrs) using the trimodal assay, TEA-seq (protein, RNA, and chromatin accessibility), revealing that molecular programming of T cell subsets shifts toward a more activated basal state with age. Naive CD4 T cells, considered relatively resistant to aging, exhibited pronounced transcriptional and epigenetic reprogramming. Moreover, we discovered a novel CD8aa T cell subset lost with age that is epigenetically poised for rapid effector responses and displays distinct inhibitory, co-stimulatory and tissue homing properties. Together, these data reveal new insights into age-associated changes in the T cell compartment that may contribute to differential immune responses.</p>
Validation of Thyroid Cancer-Specific Quality of Life Questionnaire in Indonesian as A Tool to Assess Quality of Life Among Pediatric Thyroid Cancer Patients
<p>Validation of Thyroid Cancer-Specific Quality of Life Questionnaire in Indonesian as A Tool to Assess Quality of Life Among Pediatric Thyroid Cancer Patients</p>
Self-care activities in pediatric patients with type 1 diabetes mellitus
Open the record for dataset details and reuse information.
Files From The Exon Analysis Pipeline of Pediatric Solid Tumors
<p>Long-read iso-seq validation of exon regions:</p> <p>Methods of the Long-read Sequencing:</p> <p>Libraries for each tumor were prepared and sequencing on a Pacific Biosciences (PacBio) RSII instrument at JAX. The raw data files were processed according to the PacBio Isoseq3 pipeline which utilizes a number of command line tools provided in PacBio SMRT Tools v10.2 (<a title="https://www.pacb.com/support/software-downloads/" href="https://www.pacb.com/support/software-downloads/">https://www.pacb.com/support/software-downloads/</a>). </p> <p>The pipeline generates non-redundant full-length (FL) transcripts in the following steps for each tumor sample: (i) compute consensus sequences and read quality, (ii) remove primers and adapters, (iii) remove polyA tail and artificial concatemers, (iii) de novo isoform-level clustering, (iv) minimap2 aligns FL transcripts to human reference (GENCODEv40), (v) transcripts were collapsed based on genomic mapping, long-read abundance was estimated, and GTF annotation file generated, (vi) SQANTI3 performed transcript classification and created both a reference corrected transcriptome fasta file and a corrected GTF file for each tumor. </p> <p> </p> <p>Gene target exon PSI value calculation:</p> <p>The “generateEvents” operation from SUPPA2v2.3 (<a href="https://github.com/comprna/SUPPA">https://github.com/comprna/SUPPA</a>) was used to extract splice sites from each tumor GTF, next “psiPerEvent” operation was applied to calculate Percent Spliced In (PSI) statistic for each alternative splice site using Kallisto estimated transcript abundance values. Gene target exons of interest were selected from output tables using an absolute splice site genomic coordinate match.</p> <p>Please contact Dr Ching Lau for additional inquiries (<a title="mailto:ching.lau@jax.org" href="mailto:ching.lau@jax.org">ching.lau@jax.org</a>). </p>
Imaging Mass cytometry of pediatric liver biopsies in patients with AHUO and possible PASC
<p>IMC Dataset as described in Roettele et al. "<strong><span>Characteristic immune cell interactions in livers of children with acute hepatitis revealed by spatial single-cell analysis identify a possible </span></strong><strong><span>post-acute sequel of COVID-19"</span></strong><strong><span> </span></strong></p>
Sup_Tables 1-4_A serum proteome signature stratifies treatment response to csDMRD in pediatric noninfectious uveitis
<p>Supplementary tables 1 to 4. A serum proteome signature stratifies treatment response to csDMRD in pediatric noninfectious uveitis</p>
mock interview with caretaker for ABA based pediatric feeding therapy
<p>cover all the basis: variety, volume, reinforcers, termination of meals, meal location, feeder, self or nonself feeder, texture, medical background... </p>
mock parental/ caregiver interview for pediatric feeding intake
<p>This is a mock interview. It covers most of the basics. Good to conduct this type of interview prior to home baseline and assessment. </p>
bosentan pediatrics
<p>bosentan pediatrics</p>
Benefit of Stereoscopic Volume Rendering for the Identification of Pediatric Pulmonary Vein Stenosis from CT Angiography
<p> </p> <p>The use of three-dimensional (3D) technologies in medical practice is increasing; however, its use is largely untested. One 3D technology, stereoscopic volume-rendered 3D display, can improve depth perception. Pulmonary vein stenosis (PVS) is a rare cardiovascular pathology, often diagnosed by computed tomography (CT), where volume rendering may be useful. Depth cues may be lost when volume rendered CT is displayed on regular screens instead of 3D displays. The objective of this study was to determine whether the 3D stereoscopic display of volume-rendered CT improved perception compared to standard monoscopic display, as measured by PVS diagnosis. CT angiograms (CTAs) from 18 pediatric patients aged 3 weeks to 2 years were volume rendered and displayed with and without stereoscopic display. Patients had 0 to 4 pulmonary vein stenoses. Participants viewed the CTAs in 2 groups with half on monoscopic and half on stereoscopic display and the converse a minimum of 2 weeks later, and their diagnoses were recorded. A total of 24 study participants, comprised of experienced staff cardiologists, cardiovascular surgeons and radiologists, and their trainees viewed the CTAs and assessed the presence and location of PVS. Cases were classified as simple (2 or fewer lesions) or complex (3 or more lesions). Overall, there were fewer type 2 errors in diagnosis for stereoscopic display than standard display; although the difference was not significant. There was a significant decrease in type 2 errors for complex multiple lesion cases (≥3) vs simpler cases and improvement in localization of pulmonary veins. There was no difference between the 2 groups for type 1 errors. Subjectively, 70% of participants stated that stereoscopy was helpful in the identification of PVS. The stereoscopic display did not result in decreased errors in PVS diagnosis but was helpful for more complex cases.</p>
Environmental Epigenetics- Proposed Algorithm for Pediatric Cancer Susceptibility
Environmental Epigenetics- Proposed Algorithm for Pediatric Cancer Susceptibility
AcuPa Study (Acute Pancreatitis in Pediatric Acute Lymphoblastic Leukemia) Research Data
<p><span>The file contains the raw research data set for the Acute Pancreatitis in Pediatric Acute Lymphoblastic Leukemia (AcuPa) Study. </span></p>
Pediatric CT Noise Texture Augmentation
<p>Dataset of routine and quarter dose anthropomorphic phantom (<a href="https://aapm.onlinelibrary.wiley.com/doi/10.1118/1.4926847">XCAT</a>) CT simulations using the <a href="https://github.com/JeffFessler/mirt">Michigan image Reconstruction Toolbox (MIRT)</a>.</p>
Genetic mechanisms of primary chemotherapy resistance in pediatric acute myeloid leukemia: A report from the TARGET initiative
<p>Acute myeloid leukemias (AML) are characterized by distinct mutations of tumor suppressor and oncogenes, involving distinct genes in adults and children. While certain mutations have been associated with the increased risk of AML relapse the genomic landscape of primary chemotherapy resistant AML is not well defined. As part of the TARGET initiative, we performed whole-genome DNA sequencing, transcriptome RNA, and miRNA sequencing analysis of pediatric AML with failure of induction chemotherapy. We identified three distinct genetic groups of patients with induction failure, including those with <em>NUP98</em> rearrangements, somatic mutations of <em>WT1</em>, <em>ELF1</em>, <em>KMT2C</em>, <em>MLLT10,</em> and additional recurrent gene mutations, fusions, and structural rearrangements, some of which have been observed in other malignancies. Comparison of specimens before and after chemotherapy revealed distinct and invariant gene expression programs. While exhibiting gross therapy resistance, these leukemias had diverse forms of clonal evolution upon chemotherapy exposure. This included selection for mutant alleles of <em>FRMD8</em>, <em>DHX32</em>, <em>PIK3R1</em>, <em>SHANK3</em>, <em>MKLN1</em>, as well as persistence of <em>WT1</em> and <em>TP53</em> mutant clones, and elimination or contraction of <em>FLT3</em>, <em>PTPN11</em>, and <em>NRAS</em> mutant clones. These findings delineate genetic mechanisms of primary chemotherapy resistance in pediatric AML, which should inform improved approaches for its diagnosis and therapy.</p>
MATLAB Code for "Joint Image Processing with Learning-Driven Data Representation and Model Behavior for Non-Intrusive Anemia Diagnosis in Pediatric Patients"
<p>This MATLAB code is part of the study titled <em>"Joint Image Processing with Learning-Driven Data Representation and Model Behavior for Non-Intrusive Anemia Diagnosis in Pediatric Patients"</em>, which has been accepted for publication in the <em>Journal of Imaging (MDPI)</em>. The code supports image processing, feature extraction, and deep learning model training (including LSTM and RexNet) to classify pediatric patients as anemic or non-anemic based on palm, conjunctival, and fingernail images. Full study details are available in this paper:</p> <p>Berghout T. Joint Image Processing with Learning-Driven Data Representation and Model Behavior for Non-Intrusive Anemia Diagnosis in Pediatric Patients. <em>Journal of Imaging</em>. 2024; 10(10):245. <a href="https://doi.org/10.3390/jimaging10100245">https://doi.org/10.3390/jimaging10100245 </a></p> <p>The datsets use in this work are:</p> <p>Asare, J. W., Appiahene, P. & Donkoh, E. (2022). Anemia Detection using Palpable Palm Image Datasets from Ghana. Mendeley Data. https://doi.org/10.17632/ccr8cm22vz.1<br>Asare, J. W., Appiahene, P. & Donkoh, E. (2023). CP-AnemiC (A Conjunctival Pallor) Dataset from Ghana. Mendeley Data. https://doi.org/10.17632/m53vz6b7fx.1<br>Asare, J. W., Appiahene, P. & Donkoh, E. (2020). Detection of Anemia using Colour of the Fingernails Image Datasets from Ghana. Mendeley Data. https://doi.org/10.17632/2xx4j3kjg2.1</p>
Supplementary materials - Pharyngeal airway changes after functional orthodontic treatment – a retrospective case-control study on a pediatric population
<p>Supplementary data for an article: "Pharyngeal airway changes after functional orthodontic treatment – a retrospective case-control study on a pediatric population"</p>
Alert burden in pediatric hospitals: A cross-sectional analysis of six academic pediatric health systems using novel metrics
<p class="Pediatrics">Background: Excessive electronic health record (EHR) alerts reduce the salience of actionable alerts. Little is known about the frequency of interruptive alerts across health systems and how the choice of metric affects which users appear to have the highest alert burden.</p> <p class="Pediatrics">Objective: (1) Analyze alert burden by alert type, care setting, provider type, and individual provider across 6 pediatric health systems. (2) Compare alert burden using different metrics.</p> <p class="Pediatrics">Materials and Methods: We analyzed interruptive alert firings logged in EHR databases at 6 pediatric health systems from 2016-2019 using 4 metrics: (1) alerts per patient encounter, (2) alerts per patient-day, (3) alerts per 100 orders, and (4) alerts per unique clinician days (calendar days with at least one EHR log in the system). We assessed intra- and inter-institutional variation and how alert burden rankings differed based on the chosen metric.</p> <p class="Pediatrics">Results: Alert burden varied widely across institutions, ranging from 0.06 to 0.76 firings per encounter, 0.22 to 1.06 firings per inpatient-day, 0.98 to 17.42 per 100 orders, and 0.08 to 3.34 firings per clinician day logged in the EHR. Custom alerts accounted for the greatest burden at all 6 sites. The rank order of institutions by alert burden was similar regardless of which alert burden metric was chosen. Within institutions, the alert burden metric choice substantially affected which provider types and care settings appeared to experience the highest alert burden.</p> <p>Conclusion: Estimates of the clinical areas with highest alert burden varied substantially by institution and based on the metric used.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.