A5011075155- Long-Term Effects of COVID-19
- COVID-19 Clinical Research Studies
- Electronic Health Records Systems
- Obesity, Physical Activity, Diet
- Data Quality and Management
- Inflammasome and immune disorders
- COVID-19 and Mental Health
- Hemoglobinopathies and Related Disorders
- Birth, Development, and Health
- Data-Driven Disease Surveillance
- Cardiovascular Health and Risk Factors
- Child Nutrition and Water Access
- Tryptophan and brain disorders
- Diabetes and associated disorders
- Adolescent and Pediatric Healthcare
- Diabetes Management and Research
- Diabetes Treatment and Management
- Medical Coding and Health Information
- Thermal Regulation in Medicine
- Food Security and Health in Diverse Populations
- Global Cancer Incidence and Screening
- Non-Invasive Vital Sign Monitoring
- Healthcare Systems and Public Health
- Cardiovascular Function and Risk Factors
- Iron Metabolism and Disorders
Nemours Children's Health System
2019-2024
Dupont Hospital
2024
Alfred I. duPont Hospital for Children
2020-2022
DuPont (United States)
2022
There is limited information on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing and infection among pediatric patients across the United States.To describe for SARS-CoV-2 epidemiology of infected patients.A retrospective cohort study was conducted using electronic health record data from 135 794 younger than 25 years who were tested January 1 through September 8, 2020. Data PEDSnet, a network 7 US systems, comprising 6.5 million primarily 11 states. analysis performed 8...
Most research to understand postacute sequelae of SARS-CoV-2 infection (PASC), or long COVID, has focused on adults, with less known about this complex condition in children. Research is needed characterize pediatric PASC enable studies underlying mechanisms that will guide future treatment.
Abstract Objective In response to COVID-19, the informatics community united aggregate as much clinical data possible characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) is now largest publicly available HIPAA limited dataset in US history with over 6.4 million patients a testament partnership of 100 organizations. Materials Methods We developed pipeline for ingesting, harmonizing, centralizing from 56...
PEDSnet is a clinical data research network (CDRN) that aggregates electronic health record from multiple children's hospitals to enable large-scale research. Assessing quality ensure suitability for conducting key requirement in PEDSnet. This study presents range of issues identified over period 18 months and interprets them evaluate the capacity PEDSnet.Results were generated by semiautomated assessment workflow. Two investigators reviewed programmatic conducted discussions with partners'...
Amid the ongoing global repercussions of SARS-CoV-2, it is crucial to comprehend its potential long-term psychiatric effects. Several recent studies have suggested a link between COVID-19 and subsequent mental health disorders. Our investigation joins this exploration, concentrating on Schizophrenia Spectrum Psychotic Disorders (SSPD). Different from other studies, we took acute respiratory distress syndrome (ARDS) lab-negative cohorts as control groups accurately gauge impact SSPD. Data...
Understanding social determinants of health (SDOH) that may be risk factors for childhood obesity is important to developing targeted interventions prevent obesity. Prior studies have examined these factors, mostly examining as a static outcome variable.
As clinical understanding of pediatric Post-Acute Sequelae SARS CoV-2 (PASC) develops, and hence the definition evolves, it is desirable to have a method reliably identify patients who are likely post-acute sequelae in health systems data. In this study, we developed validated machine learning algorithm classify which PASC (distinguishing between Multisystem Inflammatory Syndrome Children (MIS-C) non-MIS-C variants) from cohort with positive SARS- test results within PEDSnet EHR network....
Clinical data research networks (CDRNs) aggregate electronic health record from multiple hospitals to enable large-scale research. A critical operation toward building a CDRN is conducting continual evaluations optimize quality. The key challenges include determining the assessment coverage on big datasets, handling variability over time, and facilitating communication with teams. This study presents evolution of systematic workflow for quality in CDRNs.Using specific as use case, was...
Using sickle cell disease (SCD) as a model, the objective of this study was to create comprehensive learning healthcare system support management and research. A multidisciplinary team developed SCD clinical data dictionary standardize bedside entry inform scalable environment capable converting complex electronic records (EHRs) into knowledge accessible in real time.Clinicians expert care describe important SCD-associated health maintenance adverse events. The deployed EHR using EPIC...
Early identification of children at high risk obesity can provide clinicians with the information needed to targeted lifestyle counseling high-risk a critical time change disease course.
Abstract Objective Identifying children at high risk of developing obesity can offer a critical time to change the course disease before it establishes. Numerous studies have tried achieve this; but practical limitations remain, including (i) relying on data not present in routinely available pediatric (like prenatal data), (ii) focusing single age prediction (hence, tested across ages), and (iii) achieving good results or adequately validating those. Methods A customized sequential deep...
Children with glomerular disease have unique risk factors for compromised bone health. Studies addressing skeletal complications in this population are lacking.This retrospective cohort study utilized data from PEDSnet, a national network of pediatric health systems standardized electronic record more than 6.5 million patients 2009 to 2021. Incidence rates (per 10,000 person-years) fracture, slipped capital femoral epiphysis (SCFE), and avascular necrosis/osteonecrosis (AVN) 4598 children...
Understanding social determinants of health (SDOH) that may be risk factors for childhood obesity is important to developing targeted interventions prevent obesity. Prior studies have examined these factors, mostly examining as a static outcome variable.
Abstract Amid the ongoing global repercussions of SARS-CoV-2, it’s crucial to comprehend its potential long-term psychiatric effects. Several recent studies have suggested a link between COVID-19 and subsequent mental health disorders. Our investigation joins this exploration, concentrating on Schizophrenia Spectrum Psychotic Disorders (SSPD). Different from other studies, we took acute respiratory distress syndrome (ARDS) lab negative cohorts as control groups accurately gauge impact SSPD....
As clinical understanding of pediatric Post-Acute Sequelae SARS CoV-2 (PASC) develops, and hence the definition evolves, it is desirable to have a method reliably identify patients who are likely post-acute sequelae in health systems data.In this study, we developed validated machine learning algorithm classify which PASC (distinguishing between Multisystem Inflammatory Syndrome Children (MIS-C) non-MIS-C variants) from cohort with positive SARS-CoV-2 test results within PEDSnet EHR network....
Introduction: Preservation of cardiovascular health (CVH) across the lifespan is essential to reducing disease burden. Greater knowledge relationship between neighborhood level deprivation and CVH in youth needed. Hypothesis: We hypothesized that worse socio/environmental associated with poor/intermediate status adolescents. Methods: Data from 2009-2019 were extracted PEDSnet (a PCORI-funded network pediatric data). modeled deprivation. National Area Deprivation Index values (ADI; scaled...
Introduction: Hypertension (HTN) begins in youth and accounts for ~80% of the cardiovascular disease burden US. Socio/environmental factors are critical, greater knowledge relationship between neighborhood level deprivation blood pressure (BP) is needed. Hypothesis: We hypothesized that associated with intermediate/poor BP status adolescents even after adjusting other factors. Methods: Data from 2009 to 2019 were extracted PEDSnet (a PCORI-funded aggregate pediatric health data). modeled...
Introduction: Efficient methods to obtain and benchmark national data are needed improve comparative quality assessment for children with type 1 diabetes (T1D). PCORnet is a network of clinical research networks whose infrastructure includes standardization Common Data Model (CDM) incorporating electronic health record (EHR)-derived across multiple institutions. The study aimed determine the feasibility automated use EHR assess T1D. Methods: In two networks, PEDSnet OneFlorida, assessed...