Estimating prevalence of classical homocystinuria in the United States using Optum's de-identified market clarity data.

ABSTRACT:

Background and objectives

Prevalence estimates for classical homocystinuria (HCU) are variable and likely underestimated due to underdiagnosis. Claims data represent a strong but seldom used resource to analyze prevalence of HCU. The aim of this study was to estimate a prevalence range of HCU in the US utilizing a combination of diagnosis codes, total homocysteine levels, and clinical presentations indicative of HCU.

Methods

This was a non-interventional retrospective cohort study, using Optum's de-identified Market Clarity Data, with a patient identification period from January 01, 2016, through September 30, 2021. An algorithm was developed to identify 2 cohorts of patients using broad and strict definitions of HCU. The index date was the date within the identification per

SUBMITTER: Jain M 

PROVIDER: S-EPMC11219957 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature