Pediatric Pulmonary Embolism

Created

2023-03-27

Last Modified

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dx_2023_03_PulmonaryEmbolism_V1.csv (1.19 KB)
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Abstract

This concept set is inteded to identify patients with a diagnosis of pediatric pulmonary embolism.

Affiliation(s)

Children's Hospital of Philadelphia
Central Michigan University

Funder(s)

Provenance

Computable phENotype To Identify Pulmonary Embolism in chilDrEn (CENTIPEDE)

Description

This concept set was developed as part of a computational phenotype for identifying pediatric pulmonary embolism for the CENTIPEDE study. The concept set was developed from decedents of a list of SNOMED diagnosis codes provided by the study team. The study team reviewed and refined the set according to the needs of the study.

The intention of this concept set was to be used in combination with other facts to create a computational phenotype for pulmonary embolism. That phenotype was validated using chart review. This diagnosis concept set was consequently validated to compare the algorithm’s performance as opposed to the diagnosis concept set alone. Both algorithm and concept set were validated using data solely from the Children’s Hospital of Philadelphia.

Development Code

https://atlassian.chop.edu/bitbucket/projects/PRP/repos/centipede/browse/computational_phenotypes/specs/dx_pe.csv

Vocabulary

SNOMED

Clinical Subjects Headings

Pulmonary Embolism
Lung Diseases
Respiratory Tract Diseases
Embolism and Thrombosis
Embolism

Related Resource

Related Phenotype

Thumbnail Image
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 Person

Related Study

Thumbnail Image
Computable phENotype To Identify Pulmonary Embolism in chilDrEn (CENTIPEDE)
Central Michigan University; Children's Hospital of Philadelphia
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.

Related Concept Set

Related Publications

Creative Commons license

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