As clinical understanding of pediatric Post-Acute Sequelae of SARS CoV-2 (PASC) develops, and hence the clinical definition evolves, it is desirable to have a method to reliably identify patients who are likely to have post-acute sequelae of SARS CoV-2 (PASC) in health systems data. In this study, we developed and validated a machine learning algorithm to classify which patients have PASC (distinguishing between Multisystem Inflammatory Syndrome in Children (MIS-C) and non-MIS-C variants) from a cohort of patients with positive SARS- CoV-2 test results in pediatric health systems within the PEDSnet EHR network. Patient features included in the model were selected from conditions, procedures, performance of diagnostic testing, and medications using a tree-based scan statistic approach.
View Article and Find Full Text PDFBackground: As clinical understanding of pediatric Post-Acute Sequelae of SARS CoV-2 (PASC) develops, and hence the clinical definition evolves, it is desirable to have a method to reliably identify patients who are likely to have post-acute sequelae of SARS CoV-2 (PASC) in health systems data.
Methods And Findings: In this study, we developed and validated a machine learning algorithm to classify which patients have PASC (distinguishing between Multisystem Inflammatory Syndrome in Children (MIS-C) and non-MIS-C variants) from a cohort of patients with positive SARS-CoV-2 test results in pediatric health systems within the PEDSnet EHR network. Patient features included in the model were selected from conditions, procedures, performance of diagnostic testing, and medications using a tree-based scan statistic approach.
Background: Children with glomerular disease have unique risk factors for compromised bone health. Studies addressing skeletal complications in this population are lacking.
Methods: This retrospective cohort study utilized data from PEDSnet, a national network of pediatric health systems with standardized electronic health record data for more than 6.
Importance: There is limited information on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing and infection among pediatric patients across the United States.
Objective: To describe testing for SARS-CoV-2 and the epidemiology of infected patients.
Design, Setting, And Participants: A retrospective cohort study was conducted using electronic health record data from 135 794 patients younger than 25 years who were tested for SARS-CoV-2 from January 1 through September 8, 2020.
Objectives: Parents frequently decline the influenza vaccine for their child during hospitalization. In this study, we aimed to assess the role of vaccine hesitancy in these declinations.
Methods: This cross-sectional survey study was conducted among English-speaking parents of influenza vaccine-eligible children who were hospitalized between October 2014 and April 2015.
Purpose: The effect of mandatory provider-selected order indications (PSOIs) on appropriateness of antimicrobial ordering in a tertiary pediatric hospital was evaluated.
Methods: Mandatory PSOIs for 14 antimicrobials were implemented in September 2013. Data on initial and final orders in the first 24 hours after ordering were collected from the electronic medical record.
Background: Infants born prematurely or with underlying conditions are at increased risk of severe rotavirus disease and associated complications. Given the theoretical risk of nosocomial transmission of vaccine-type rotavirus, rotavirus vaccination is recommended for infants at or after discharge from neonatal care settings. Because the first dose should be administered by 104 days of age, some infants may be age-ineligible for vaccination if delayed until discharge.
View Article and Find Full Text PDFJ Am Soc Echocardiogr
June 2017
Background: Coarctation of the aorta (CoA) is difficult to diagnose by fetal echocardiogram (F-Echo), often requiring multiple F-Echos during gestation and neonatal echocardiograms (N-Echos) after birth. Furthermore, CoA is the most common ductal-dependent lesion missed on routine physical exam.
Objectives: We sought to determine the most cost-effective diagnostic approach in caring for infants in whom an initial F-Echo is concerning for CoA.
J Am Med Inform Assoc
November 2017
Objective: PEDSnet is a clinical data research network (CDRN) that aggregates electronic health record data from multiple children's hospitals to enable large-scale research. Assessing data quality to ensure suitability for conducting research is a key requirement in PEDSnet. This study presents a range of data quality issues identified over a period of 18 months and interprets them to evaluate the research capacity of PEDSnet.
View Article and Find Full Text PDFBackground: Appendicitis is a common surgical emergency in pediatric patients, and broad-spectrum antibiotic therapy is warranted in their care. A simplified once-daily regimen of ceftriaxone and metronidazole (CTX plus MTZ) is cost effective in perforated patients. The goal of this evaluation is to compare a historic regimen of cefoxitin (CFX) in nonperforated cases and ertapenem (ERT) in perforated and abscessed cases with CTX plus MTZ for all cases in terms of efficacy and cost.
View Article and Find Full Text PDFObjective: Preschool and minority children have not been well represented in obesity treatment studies. This analysis of clinical obesity treatment was carried out within a diverse population of children 2-12 years to identify demographic characteristics associated with successful treatment.
Design And Methods: A medical record review captured BMI and demographics for children 2-12 years who began treatment during a 42-month period (n = 479).
Objectives: The authors sought to determine which quality measures of analgesia delivery are most influenced by emergency department (ED) crowding for pediatric patients with long-bone fractures.
Methods: This cross-sectional, retrospective study included patients 0-21 years seen for acute, isolated long-bone fractures, November 2007 to October 2008, at a children's hospital ED. Nine quality measures were studied: six were based on the timeliness (1-hour receipt) and effectiveness (receipt/nonreceipt) of three fracture-related processes: pain score, any analgesic, and opioid analgesic administration.
Pediatr Emerg Care
September 2011
Objective: We sought to determine which of several simple indicators of emergency department crowding are most predictive of quality of care in 2 pediatric disease models: acute asthma and pain associated with long-bone fractures.
Methods: We performed a retrospective, cross-sectional study of patients 2 to 21 years old seen for acute asthma and patients 0 to 21 years old seen for acute, isolated long-bone fractures from November 1, 2007, to October 31, 2008, at a single, academic children's hospital emergency department. The main outcome measures were quality measures based on 3 asthma care-related processes-asthma score, β-agonist, and corticosteroid-and 2 fracture-related processes-analgesic and opioid analgesic.
Study Objective: We seek to determine which dimensions of quality of care are most influenced by emergency department (ED) crowding for patients with acute asthma exacerbations.
Methods: This cross-sectional study with retrospective data collection included patients aged 2 to 21 years treated for acute asthma during November 2007 to October 2008 at a children's hospital ED. We studied 3 processes of care-asthma score, β-agonist, and corticosteroid administration-and 9 quality measures representing 3 quality dimensions: timeliness (1-hour receipt of each process), effectiveness (receipt/nonreceipt of each process), and equity (language, identified primary care provider, and insurance).
Objective: To determine the clinical course and outcomes of children born early preterm (EPT, <32 weeks), late preterm (LPT, 32 to 35 weeks), and full term (FT, >or=36 weeks) who were subsequently admitted to the pediatric intensive care unit (PICU) with respiratory illness.
Study Design: Retrospective chart review of patients <2 years old admitted to a tertiary PICU with respiratory illness.
Results: Two hundred seventy-one patients met inclusion criteria: 17.
J Am Med Inform Assoc
June 2010
Objective: To examine the impact of billing and clinical data extracted from an electronic medical record system on the calculation of an adverse drug event (ADE) quality measure approved for use in The Joint Commission's ORYX program, a mandatory national hospital quality reporting system.
Design: The Child Health Corporation of America's "Use of Rescue Agents-ADE Trigger" quality measure uses medication billing data contained in the Pediatric Health Information Systems (PHIS) data warehouse to create The Joint Commission-approved quality measure. Using a similar query, we calculated the quality measure using PHIS plus four data sources extracted from our electronic medical record (EMR) system: medications charged, medication orders placed, medication orders with associated charges (orders charged), and medications administered.