Hanieh Razzaghi

ORCID: 0000-0001-5001-1590
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About
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Research Areas
  • Long-Term Effects of COVID-19
  • COVID-19 Clinical Research Studies
  • Data Quality and Management
  • Kawasaki Disease and Coronary Complications
  • Electronic Health Records Systems
  • Kidney Stones and Urolithiasis Treatments
  • Pediatric Urology and Nephrology Studies
  • Diabetes and associated disorders
  • COVID-19 and Mental Health
  • Respiratory Support and Mechanisms
  • SARS-CoV-2 and COVID-19 Research
  • Chronic Disease Management Strategies
  • Artificial Intelligence in Healthcare
  • Inflammasome and immune disorders
  • Healthcare Policy and Management
  • Pharmaceutical Practices and Patient Outcomes
  • Thermal Regulation in Medicine
  • Renal Diseases and Glomerulopathies
  • Respiratory viral infections research
  • Health Systems, Economic Evaluations, Quality of Life
  • Diabetes Management and Education
  • Childhood Cancer Survivors' Quality of Life
  • Ethics in Clinical Research
  • Complement system in diseases
  • Antibiotic Use and Resistance

Children's Hospital of Philadelphia
2017-2025

University of Pennsylvania
2012-2022

Nemours Children's Clinic
2021

Drexel University
2021

Albert Einstein College of Medicine
2008

National Headache Foundation
2008

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...

10.1001/jamapediatrics.2020.5052 article EN JAMA Pediatrics 2020-11-23

The postacute sequelae of SARS-CoV-2 infection (PASC) has emerged as a long-term complication in adults, but current understanding the clinical presentation PASC children is limited.To identify diagnosed symptoms, health conditions, and medications associated with children.This retrospective cohort study used electronic records from 9 US children's hospitals for individuals younger than 21 years who underwent antigen or reverse transcriptase-polymerase chain reaction (RT-PCR) testing between...

10.1001/jamapediatrics.2022.2800 article EN JAMA Pediatrics 2022-08-23

This national study evaluated trends in illness severity among 82 798 children with coronavirus disease 2019 from March 1, 2020, to December 30, 2021.

10.1542/peds.2021-055765 article EN other-oa PEDIATRICS 2022-03-24

Abstract Study Objectives Obstructive sleep apnea (OSA) has been associated with more severe acute coronavirus disease-2019 (COVID-19) outcomes. We assessed OSA as a potential risk factor for Post-Acute Sequelae of SARS-CoV-2 (PASC). Methods the impact preexisting on probable PASC in adults and children using electronic health record data from multiple research networks. Three networks within REsearching COVID to Enhance Recovery initiative (PCORnet Adult, PCORnet Pediatric, National Cohort...

10.1093/sleep/zsad126 article EN SLEEP 2023-05-11

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'...

10.1093/jamia/ocx033 article EN Journal of the American Medical Informatics Association 2017-03-16

Post-acute sequalae of SARS-CoV-2 infection (PASC) is not well defined in pediatrics given its heterogeneity presentation and severity this population. The aim study to use novel methods that rely on data mining approaches rather than clinical experience detect conditions symptoms associated with pediatric PASC.We used a propensity-matched cohort design comparing children identified using the new PASC ICD10CM diagnosis code (U09.9) (N = 1309) 6545) without infection. We tree-based scan...

10.1093/jamiaopen/ooad016 article EN cc-by-nc JAMIA Open 2023-01-06

Abstract Background Adverse events (AEs) on Children's Oncology Group (COG) trials are reported manually by clinical research assistants (CRAs). The Common Terminology Criteria for Events (CTCAE) was developed to provide standardized definitions identifying and grading AEs. CTCAE has expanded significantly over its five versions, but the impact of definitional changes not been examined. Procedure This study compared AE number ascertainment among first four versions using a case vignette....

10.1002/pbc.27747 article EN Pediatric Blood & Cancer 2019-04-09

The benefits and challenges of electronic health records (EHRs) as data sources for clinical epidemiologic research have been well described. However, several factors are important to consider when using EHR study novel, emerging, multifaceted conditions such postacute sequelae SARS-CoV-2 infection or long COVID. In this article, we present opportunities improve our understanding COVID, based on lessons learned from the National Institutes Health (NIH)-funded RECOVER (REsearching COVID...

10.2196/59217 article EN cc-by Journal of Medical Internet Research 2025-03-05

Objective: To estimate work impact of headache among migraineurs. Methods: Data were from a U.S. nationwide mailed questionnaire 193,477 participants in the American Migraine Prevalence and Prevention study. Lost Productive Time (LPT) was sum missed hours plus reduced productivity hour equivalents. The cause LPT self-reported. Results: mean per week 1.8 for 2.8 all health related causes; 76.5% headache-related explained by performance (ie, presenteeism). 29% migraine cases with 11+...

10.1097/jom.0b013e31818180cb article EN Journal of Occupational and Environmental Medicine 2008-07-01

Performing adequately powered clinical trials in pediatric diseases, such as SLE, is challenging. Improved recruitment strategies are needed for identifying patients.Electronic health record algorithms were developed and tested to identify children with SLE both without lupus nephritis. We used single-center electronic data develop computable phenotypes composed of diagnosis, medication, procedure, utilization codes. These evaluated iteratively against a manually assembled database patients...

10.2215/cjn.07810621 article EN Clinical Journal of the American Society of Nephrology 2021-11-03

Significance Statement Clinical advances in glomerular disease have been stymied by the rarity of these health conditions, making identification sufficient numbers patients with for enrollment research studies challenging, particularly pediatric setting. We leveraged PEDSnet system population >6.5 million children to develop and evaluate a highly sensitive specific electronic record (EHR)–based computable phenotype algorithm identify largest cohort date. This tool rapid applied robust...

10.1681/asn.2019040365 article EN Journal of the American Society of Nephrology 2019-11-15

IgA vasculitis is the most common in children and often complicated by acute nephritis (IgAVN). Risk of chronic kidney disease (CKD) among with IgAVN remains unknown. This study aimed to describe clinical management outcomes a large cohort IgAVN.

10.1007/s00467-023-06023-8 article EN cc-by Pediatric Nephrology 2023-06-14

Abstract Background Widespread implementation of electronic health records (EHR) has created new opportunities for pediatric oncology observational research. Little attention been given to using EHR data identify patients with hematologic malignancies. Methods This study used EHR‐derived in a clinical research network, PEDSnet, develop and evaluate computable phenotype algorithm leukemia lymphoma who received treatment chemotherapy. To guide early development, multiple phenotype‐defined...

10.1002/pbc.27876 article EN Pediatric Blood & Cancer 2019-06-17

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....

10.1371/journal.pone.0289774 article EN cc-by PLoS ONE 2023-08-10

Importance Obesity is associated with increased severity of COVID-19. Whether obesity an risk post-acute sequelae SARS-CoV-2 infection (PASC) among pediatric populations, independent its association acute severity, unclear. Objective To quantify the body mass index (BMI) status before PASC risk, controlling for severity. Design, Setting, and Participants This retrospective cohort study occurred at 26 US children’s hospitals from March 2020 to May 2023 a minimum follow-up 179 days. Eligible...

10.1001/jamanetworkopen.2024.41970 article EN cc-by-nc-nd JAMA Network Open 2024-10-28

ObjectivesThe National Patient-Centered Clinical Research Network (PCORnet) supports observational and clinical research using health care data. The PCORnet Antibiotics Childhood Growth Study is one of PCORnet's inaugural studies. We sought to describe the processes used integrate analyze data from children across 35 participating institutions, cohort characteristics, prevalence antibiotic use.MethodsWe included in if they had at least same-day height weight measured each 3 age periods: 1)...

10.1016/j.acap.2018.02.008 article EN cc-by-nc-nd Academic Pediatrics 2018-03-15

Abstract Introduction Secondary use of electronic health record (EHR) data for research requires that the are fit . Data quality (DQ) frameworks have traditionally focused on structural conformance and completeness clinical extracted from source systems. In this paper, we propose a framework evaluating semantic DQ will allow researchers to evaluate fitness prior analyses. Methods We reviewed current literature, as well experience recent multisite network studies, identified gaps in...

10.1002/lrh2.10264 article EN cc-by-nc-nd Learning Health Systems 2021-05-03

The post-acute sequelae of SARS-CoV-2 (PASC) has emerged as a long-term complication in adults, but current understanding the clinical presentation PASC children is limited.To identify diagnosed symptoms, health conditions and medications associated with children.Retrospective cohort study using electronic records from 9 US children's hospitals for individuals <21 years-old who underwent reverse transcriptase polymerase chain reaction (RT-PCR) testing between March 1, 2020 - October 31, 2021...

10.1101/2022.05.24.22275544 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2022-05-25

Abstract Multi-system inflammatory syndrome in children (MIS-C) is a severe post-acute sequela of SARS-CoV-2 infection children, and there critical need to unfold its highly heterogeneous disease patterns. Our objective was characterize the illness spectrum MIS-C for improved recognition management. We conducted retrospective cohort study using data from March 1, 2020–September 30, 2022, 8 pediatric medical centers PEDSnet. included 1139 hospitalized with used their demographics, symptoms,...

10.1038/s41598-023-47655-y article EN cc-by Scientific Reports 2023-11-28

ABSTRACT Purpose To describe the design and rationale of a series postmarketing studies to examine safety saxagliptin, an oral dipeptidyl peptidase‐4 inhibitor for treatment type 2 diabetes mellitus, in real‐world settings. Methods We are conducting retrospective cohort using two UK (General Practice Research Database, The Health Improvement Network) US (Medicare, HealthCore Integrated Database SM ) data sources. primary outcomes interest will include (i) hospitalization with acute liver...

10.1002/pds.3318 article EN Pharmacoepidemiology and Drug Safety 2012-07-05
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