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Development of Scalable, Electronic Health Record (EHR)-Based Screening for Undiagnosed Systemic Mastocytosis: PREDICT-SM

Mdegela, Mselenge (2023) Development of Scalable, Electronic Health Record (EHR)-Based Screening for Undiagnosed Systemic Mastocytosis: PREDICT-SM. In: AAAAI Annual Meeting, 2023, 24-27th Feb 2023, San Antonio, TX, USA.

Item Type: Conference or Workshop Item (Poster)

Abstract

This study highlighted the importance of the need to address observed demographic biases in patients diagnosed with systemic mastocytosis (SM) to ensure equity of trained prediction models. There was considerable variability in how often tryptase testing was performed, but this variability did not appear to translate into large differences in the frequency of SM diagnosis across practice sites. Preliminary findings suggest there is potentially a substantial set of patients with SM from which to learn an electronic health recording (HER) prediction model, which has the potential to detect SM-associated symptoms earlier, support providers in diagnosis of SM, and ultimately decrease SM morbidity and mortality. Preliminary findings suggest underutilization of high-sensitivity peripheral blood mutational testing (KIT D816V).

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Related URLs:
Depositing User: Mselenge Mdegela

Identifiers

Item ID: 17244
URI: http://sure.sunderland.ac.uk/id/eprint/17244
Official URL: https://www.blueprintmedicines.com/wp-content/uplo...

Users with ORCIDS

ORCID for Mselenge Mdegela: ORCID iD orcid.org/0000-0002-0374-6583

Catalogue record

Date Deposited: 24 Jan 2024 10:19
Last Modified: 24 Jan 2024 10:30

Contributors

Author: Mselenge Mdegela ORCID iD
Author: Mselenge Mdegela

University Divisions

Faculty of Health Sciences and Wellbeing > School of Psychology

Subjects

Sciences > Biomedical Sciences
Sciences

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