33 Works

Unplanned Admissions, Emergency Department Visits, and Epilepsy After Critical Neurological Illness Requiring Prolonged Mechanical Ventilation in Children

Matthew B. Spear, Kristen Miller, Craig Press, Christopher Ruzas, Jaime LaVelle, Peter M. Mourani, Tellen D. Bennett & Aline B. Maddux
Background and PurposeLong-term outcomes after pediatric neurocritical illness are poorly characterized. This study aims to characterize the frequency and risk factors for post-discharge unplanned health resource use in a pediatric neurocritical care population using insurance claims data.MethodsRetrospective cohort study evaluating children who survived a hospitalization for an acute neurologic illness or injury requiring mechanical ventilation for >72 hours and had insurance eligibility in Colorado’s All Payers Claims database. Insurance claims identified unplanned readmissions and emergency...

Additional file 5 of Association between treatment failure and hospitalization after receipt of neutralizing monoclonal antibody treatment for COVID-19 outpatients

David J. Douin, Adane F. Wogu, Laurel E. Beaty, Nichole E. Carlson, Tellen D. Bennett, Neil R. Aggarwal, David A. Mayer, Toan C. Ong, Seth Russell, Jeffrey Steele, Jennifer L. Peers, Kyle C. Molina, Matthew K. Wynia & Adit A. Ginde
Additional file 5: Table S1. Medications and conditions used to stratify Mild versus Moderate/Severe immunocompromised status.

Additional file 1 of Microbiome insights into pediatric familial adenomatous polyposis

Thomas M. Attard, Seth Septer, Caitlin E. Lawson, Mark I. Attard, Sonny T. M. Lee & Shahid Umar
Additional file 1: Fig. S1 A. Construction of OTUs and effective reads data. ~1450 bacterial OTUs were detected in stool or tissue samples combined. The y1-axis represents the number of reads. Red and blue bars represent the number of effective and annotated reads, respectively. We also detected some "Unique Reads" (orange bars) with a frequency of 1 that only occurs in one sample. The y2-axis titled "OTUs Number" represents the number of OTUs displayed as...

Additional file 3 of Microbiome insights into pediatric familial adenomatous polyposis

Thomas M. Attard, Seth Septer, Caitlin E. Lawson, Mark I. Attard, Sonny T. M. Lee & Shahid Umar
Additional file 3. The training and validation sets used in machine learning methods.

Supplemental material - Unplanned Admissions, Emergency Department Visits, and Epilepsy After Critical Neurological Illness Requiring Prolonged Mechanical Ventilation in Children

Matthew B. Spear, Kristen Miller, Craig Press, Christopher Ruzas, Jaime LaVelle, Peter M. Mourani, Tellen D. Bennett & Aline B. Maddux
Supplemental material for Unplanned Admissions, Emergency Department Visits, and Epilepsy After Critical Neurological Illness Requiring Prolonged Mechanical Ventilation in Children by Matthew B. Spear, Kristen Miller, Craig Press, Christopher Ruzas, Jaime LaVelle, Peter M. Mourani, Tellen D. Bennett, and Aline B. Maddux in The Neurohospitalist

Additional file 2 of Association between treatment failure and hospitalization after receipt of neutralizing monoclonal antibody treatment for COVID-19 outpatients

David J. Douin, Adane F. Wogu, Laurel E. Beaty, Nichole E. Carlson, Tellen D. Bennett, Neil R. Aggarwal, David A. Mayer, Toan C. Ong, Seth Russell, Jeffrey Steele, Jennifer L. Peers, Kyle C. Molina, Matthew K. Wynia & Adit A. Ginde
Additional file 2: Figure S2. Cumulative incidence of hazard for hospitalization by immunocompromised status.

Additional file 1 of Association between treatment failure and hospitalization after receipt of neutralizing monoclonal antibody treatment for COVID-19 outpatients

David J. Douin, Adane F. Wogu, Laurel E. Beaty, Nichole E. Carlson, Tellen D. Bennett, Neil R. Aggarwal, David A. Mayer, Toan C. Ong, Seth Russell, Jeffrey Steele, Jennifer L. Peers, Kyle C. Molina, Matthew K. Wynia & Adit A. Ginde
Additional file 1: Figure S1. Maximum level of oxygenation support during the index hospitalization for patients who experienced treatment failure. IV: invasive mechanical ventilation; HFC: high flow nasal cannula; NIV: non-invasive ventilation.

Additional file 3 of Association between treatment failure and hospitalization after receipt of neutralizing monoclonal antibody treatment for COVID-19 outpatients

David J. Douin, Adane F. Wogu, Laurel E. Beaty, Nichole E. Carlson, Tellen D. Bennett, Neil R. Aggarwal, David A. Mayer, Toan C. Ong, Seth Russell, Jeffrey Steele, Jennifer L. Peers, Kyle C. Molina, Matthew K. Wynia & Adit A. Ginde
Additional file 3: Figure S3. Adjusted risk difference and adjusted odds ratio (OR) for treatment failure for each risk factor from a conservative imputation model. In this model, we assumed all missing SARS-CoV-2 positive test dates were ten days prior to the mAb administration date. Risk differences were calculated via Firth's bias-reduced multiple regression logistic regression. Adjusted ORs and 95% confidence intervals (95% CI) were computed by penalized profile likelihood.

Association between treatment failure and hospitalization after receipt of neutralizing monoclonal antibody treatment for COVID-19 outpatients

David J. Douin, Adane F. Wogu, Laurel E. Beaty, Nichole E. Carlson, Tellen D. Bennett, Neil R. Aggarwal, David A. Mayer, Toan C. Ong, Seth Russell, Jeffrey Steele, Jennifer L. Peers, Kyle C. Molina, Matthew K. Wynia & Adit A. Ginde
Abstract Background Neutralizing monoclonal antibodies (mAbs) are highly effective in reducing hospitalization and mortality among early symptomatic COVID-19 patients in clinical trials and real-world data. While resistance to some mAbs has since emerged among new variants, characteristics associated with treatment failure of mAbs remain unknown. Methods This multicenter, observational cohort study included patients with COVID-19 who received mAb treatment between November 20, 2020, and December 9, 2021. We utilized electronic health records from a statewide...

Additional file 1 of Utility of illness symptoms for predicting COVID-19 infections in children

Geena Y. Zhou, Nicole Y. Penwill, Grace Cheng, Prachi Singh, Ann Cheung, Minkyung Shin, Margaret Nguyen, Shalini Mittal, William Burrough, Mia-Ashley Spad, Sarah Bourne, Naomi S. Bardach & Emily R. Perito
Additional file 1. Supplemental figures.

Additional file 2 of Utility of illness symptoms for predicting COVID-19 infections in children

Geena Y. Zhou, Nicole Y. Penwill, Grace Cheng, Prachi Singh, Ann Cheung, Minkyung Shin, Margaret Nguyen, Shalini Mittal, William Burrough, Mia-Ashley Spad, Sarah Bourne, Naomi S. Bardach & Emily R. Perito
Additional file 2. Supplemental tables.

Additional file 3 of Microbiome insights into pediatric familial adenomatous polyposis

Thomas M. Attard, Seth Septer, Caitlin E. Lawson, Mark I. Attard, Sonny T. M. Lee & Shahid Umar
Additional file 3. The training and validation sets used in machine learning methods.

Additional file 2 of Microbiome insights into pediatric familial adenomatous polyposis

Thomas M. Attard, Seth Septer, Caitlin E. Lawson, Mark I. Attard, Sonny T. M. Lee & Shahid Umar
Additional file 2: Fig. S2 Schematic of our major findings. The microbiome from fecal specimens with that obtained from normal mucosa in children with FAP and from fecal specimens in healthy controls was compared in addition to biopsies from an adenoma to synchronous normal mucosa. Observations including significant preferential expression of probiotic candidate bacteria in control stool vs. decreased potentially protective bacterial subtypes in polyp compared with normal mucosa were made along with a reduction...

Additional file 4 of Microbiome insights into pediatric familial adenomatous polyposis

Thomas M. Attard, Seth Septer, Caitlin E. Lawson, Mark I. Attard, Sonny T. M. Lee & Shahid Umar
Additional file 4. Accuracy metrics for the machine learning models.

Microbiome insights into pediatric familial adenomatous polyposis

Thomas M. Attard, Seth Septer, Caitlin E. Lawson, Mark I. Attard, Sonny T. M. Lee & Shahid Umar
Abstract Background Individuals with familial adenomatous polyposis (FAP) harbor numerous polyps with inevitable early progression to colon cancer. Complex microbiotic-tumor microenvironment perturbations suggest a dysbiotic relationship between polyp and microbiome. In this study, we performed comprehensive analyses of stool and tissue microbiome of pediatric FAP subjects and compared with unaffected cohabiting relatives through 16S V4 region amplicon sequencing and machine learning platforms. Results Within our FAP and control patient population, Firmicutes and Bacteroidetes were the...

Additional file 2 of Microbiome insights into pediatric familial adenomatous polyposis

Thomas M. Attard, Seth Septer, Caitlin E. Lawson, Mark I. Attard, Sonny T. M. Lee & Shahid Umar
Additional file 2: Fig. S2 Schematic of our major findings. The microbiome from fecal specimens with that obtained from normal mucosa in children with FAP and from fecal specimens in healthy controls was compared in addition to biopsies from an adenoma to synchronous normal mucosa. Observations including significant preferential expression of probiotic candidate bacteria in control stool vs. decreased potentially protective bacterial subtypes in polyp compared with normal mucosa were made along with a reduction...

Additional file 2 of Association between treatment failure and hospitalization after receipt of neutralizing monoclonal antibody treatment for COVID-19 outpatients

David J. Douin, Adane F. Wogu, Laurel E. Beaty, Nichole E. Carlson, Tellen D. Bennett, Neil R. Aggarwal, David A. Mayer, Toan C. Ong, Seth Russell, Jeffrey Steele, Jennifer L. Peers, Kyle C. Molina, Matthew K. Wynia & Adit A. Ginde
Additional file 2: Figure S2. Cumulative incidence of hazard for hospitalization by immunocompromised status.

Additional file 4 of Association between treatment failure and hospitalization after receipt of neutralizing monoclonal antibody treatment for COVID-19 outpatients

David J. Douin, Adane F. Wogu, Laurel E. Beaty, Nichole E. Carlson, Tellen D. Bennett, Neil R. Aggarwal, David A. Mayer, Toan C. Ong, Seth Russell, Jeffrey Steele, Jennifer L. Peers, Kyle C. Molina, Matthew K. Wynia & Adit A. Ginde
Additional file 4: Figure S4. Adjusted risk difference and adjusted odds ratio (OR) for treatment failure for each risk factor from a conservative imputation model. In this model, we included only patients with confirmed dates for both SARS-CoV-2 positive test and mAb administration. Risk differences were calculated via Firth's bias-reduced multiple regression logistic regression. Adjusted ORs and 95% confidence intervals (95% CI) were computed by penalized profile likelihood.

Additional file 4 of Association between treatment failure and hospitalization after receipt of neutralizing monoclonal antibody treatment for COVID-19 outpatients

David J. Douin, Adane F. Wogu, Laurel E. Beaty, Nichole E. Carlson, Tellen D. Bennett, Neil R. Aggarwal, David A. Mayer, Toan C. Ong, Seth Russell, Jeffrey Steele, Jennifer L. Peers, Kyle C. Molina, Matthew K. Wynia & Adit A. Ginde
Additional file 4: Figure S4. Adjusted risk difference and adjusted odds ratio (OR) for treatment failure for each risk factor from a conservative imputation model. In this model, we included only patients with confirmed dates for both SARS-CoV-2 positive test and mAb administration. Risk differences were calculated via Firth's bias-reduced multiple regression logistic regression. Adjusted ORs and 95% confidence intervals (95% CI) were computed by penalized profile likelihood.

Additional file 5 of Association between treatment failure and hospitalization after receipt of neutralizing monoclonal antibody treatment for COVID-19 outpatients

David J. Douin, Adane F. Wogu, Laurel E. Beaty, Nichole E. Carlson, Tellen D. Bennett, Neil R. Aggarwal, David A. Mayer, Toan C. Ong, Seth Russell, Jeffrey Steele, Jennifer L. Peers, Kyle C. Molina, Matthew K. Wynia & Adit A. Ginde
Additional file 5: Table S1. Medications and conditions used to stratify Mild versus Moderate/Severe immunocompromised status.

Association between treatment failure and hospitalization after receipt of neutralizing monoclonal antibody treatment for COVID-19 outpatients

David J. Douin, Adane F. Wogu, Laurel E. Beaty, Nichole E. Carlson, Tellen D. Bennett, Neil R. Aggarwal, David A. Mayer, Toan C. Ong, Seth Russell, Jeffrey Steele, Jennifer L. Peers, Kyle C. Molina, Matthew K. Wynia & Adit A. Ginde
Abstract Background Neutralizing monoclonal antibodies (mAbs) are highly effective in reducing hospitalization and mortality among early symptomatic COVID-19 patients in clinical trials and real-world data. While resistance to some mAbs has since emerged among new variants, characteristics associated with treatment failure of mAbs remain unknown. Methods This multicenter, observational cohort study included patients with COVID-19 who received mAb treatment between November 20, 2020, and December 9, 2021. We utilized electronic health records from a statewide...

Additional file 1 of Utility of illness symptoms for predicting COVID-19 infections in children

Geena Y. Zhou, Nicole Y. Penwill, Grace Cheng, Prachi Singh, Ann Cheung, Minkyung Shin, Margaret Nguyen, Shalini Mittal, William Burrough, Mia-Ashley Spad, Sarah Bourne, Naomi S. Bardach & Emily R. Perito
Additional file 1. Supplemental figures.

Additional file 2 of Utility of illness symptoms for predicting COVID-19 infections in children

Geena Y. Zhou, Nicole Y. Penwill, Grace Cheng, Prachi Singh, Ann Cheung, Minkyung Shin, Margaret Nguyen, Shalini Mittal, William Burrough, Mia-Ashley Spad, Sarah Bourne, Naomi S. Bardach & Emily R. Perito
Additional file 2. Supplemental tables.

Utility of illness symptoms for predicting COVID-19 infections in children

Geena Y. Zhou, Nicole Y. Penwill, Grace Cheng, Prachi Singh, Ann Cheung, Minkyung Shin, Margaret Nguyen, Shalini Mittal, William Burrough, Mia-Ashley Spad, Sarah Bourne, Naomi S. Bardach & Emily R. Perito
Abstract Background The Centers for Disease Control and Prevention and the American Academy of Pediatrics recommend that symptomatic children remain home and get tested to identify potential coronavirus disease 2019 (COVID-19) cases. As the pandemic moves into a new phase, approaches to differentiate symptoms of COVID-19 versus other childhood infections can inform exclusion policies and potentially prevent future unnecessary missed school days. Methods Retrospective analysis of standardized symptom and exposure screens in symptomatic children 0–18...

Data from: Clinical spectrum of STX1B-related epileptic disorders

Stefan Wolking, Patrick May, Davide Mei, Rikke S. Møller, Simona Balestrini, Katherine L. Helbig, Cecilia Desmettre Altuzarra, Nicolas Chatron, Charu Kaiwar, Katharina Stoehr, Peter Widdess-Walsh, Bryce A. Mendelsohn, Adam Numis, Maria R. Cilio, Wim Van Paesschen, Lene L. Svendsen, Stephanie Oates, Elaine Hughes, Sushma Goyal, Kathleen Brown, Margarita Sifuentes Saenz, Thomas Dorn, Hiltrud Muhle, Alistair T. Pagnamenta, Dimitris V. Vavoulis … & Julian Schubert
Objective: The aim of this study was to expand the spectrum of epilepsy syndromes related to STX1B, encoding the presynaptic protein syntaxin-1B, and establish genotype-phenotype correlations by identifying further disease-related variants. Methods: We used next generation sequencing in the framework of research projects and diagnostic testing. Clinical data and EEGs were reviewed, including already published cases. To estimate the pathogenicity of the variants, we used established and newly developed in silico prediction tools. Results: We...

Registration Year

  • 2022
    32
  • 2018
    1

Resource Types

  • Text
    16
  • Collection
    8
  • Image
    8
  • Dataset
    1

Affiliations

  • Children's Hospital Colorado
    33
  • University of Colorado Anschutz Medical Campus
    16
  • Colorado School of Public Health
    12
  • Aberdeen Maternity Hospital
    10
  • University of Kansas Medical Center
    10
  • Children's Mercy Hospital
    10
  • Kansas State University
    10
  • University of California, San Francisco
    7
  • Tufts Medical Center
    6
  • Children's Hospital of Los Angeles
    6