Computable phENotype To Identify Pulmonary Embolism in chilDrEn (CENTIPEDE)

Study Dates

2024-06

Last Modified

Tags




Publisher

PEDSnet

Abstract

Study to test the classification accuracy of an algorithm that has been previously validated in adult pulmonary embolism (PE) patients (“ASPECT”). The algorithm was used to identify a pediatric PE cohort from EHR and evaluate the accuracy of diagnostic and treatment code combinations using EHR data to diagnose pediatric PE at a single center, the Children’s Hospital of Philadelphia.

Funder(s)

This research was made possible through the generous support of the Children's Foundation .

Provenance

Description

The rate of pediatric pulmonary embolism (PPE), the most serious and potentially deadly form of venous thromboembolism, has increased by 200% over the last decade. But it remains rare at individual centers and consequently is challenging to study. Currently, the management of PPE is empiric and not derived from scientific evidence. Electronic health records (EHR) are a rich source of clinical information that can be used to study rare diseases provided a disease cohort is accurately identified. Previous studies in adults have revealed that using appropriate combinations of diagnostic and treatment codes leads to accurate identification of a PE cohort from EHR.

The purpose of this study is to identify the best combination of diagnostic and treatment codes using EHR data that can accurately diagnose PPE at a single center.

Study Aims

  1. Test the classification accuracy of an algorithm (ASPECT) that has been previously validated in adult PE patients to identify pediatric PE cohort from EHR.
  2. Evaluate the accuracy of other combinations of diagnostic and treatment codes using EHR data to diagnose pediatric PE at a single center (CHOP).

Study Design

A retrospective cohort study using structured data and chart reviews to develop a computable phenotype.

Cohort Description

Patients who meet the inclusion and exclusion criteria of the ASPECT computational phenotype from January 2012 to December 2022. ASPECT criteria include an anticoagulant prescription associated with an inpatient or emergency visit at age 21 or younger; a pulmonary embolism diagnosis code associated with an inpatient or emergency visit at age 21 or younger; a diagnostic imaging study performed during or two fewer days before the visit; an anticoagulant dispensed or prescribed during the visit; and excludes patients with an anticoagulant dispensed or prescribed between 7 and 365 days before the visit.

Development Code

Vocabulary

Clinical Subjects Headings

Related Concept Set

Pediatric Pulmonary Embolism
(2023-03-27) Children's Hospital of Philadelphia; Central Michigan University
This concept set is inteded to identify patients with a diagnosis of pediatric pulmonary embolism.
MRI Scan, Chest Region
(2023-03-27) Children's Hospital of Philadelphia; Central Michigan University
Concept set intended to identify patients having undergone a magnetic resonance imaging (MRI) procedure.
Computed Tomography (CT Scan)
(2024-03-04) PEDSnet Data Coordination Center
Concept set intended to identify patients who have received a CT scan procedure.
Anti-coagulants
(2024-03-04) PEDSnet Data Coordinating Center
Concept set intended to identify patients with an exposure to an anti-coagulant medication.

Related Person

Related Data Quality Result

Related Person

Related Phenotype

Children with Pulmonary Embolism
(10/14/24) PEDSnet Data Coordinating Center
Pediatric pulmonary embolism (PE) research has been limited by rarity at individual centers and a lack of multi-center data sources to investigate treatments and outcomes. The goal of this work was to develop a computable phenotype and utilize it in PEDSnet to compare management strategies and outcomes in a validated cohort of children with PE to improve PE care in children.

Related Study

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Creative Commons license

Except where otherwised noted, this item's license is described as a CC-BY 4.0 Attribution license.