Assessing ascertainment bias in atrial fibrillation across US minority groups
Lars Hulstaert, Amelia Boehme, Kaitlin Hood, Jennifer Hayden, Clark Jackson, Astra Toyip, Hans Verstraete, Yu Mao, Khaled Sarsour, Daniel Antwi-Amoabeng, Daniel Antwi-Amoabeng, Daniel Antwi-Amoabeng

TL;DR
This study examines how underdiagnosis affects the reported rates of atrial fibrillation in US minority groups compared to white populations.
Contribution
The study quantifies ascertainment bias in AF prevalence estimates across US minority groups using real-world clinical data.
Findings
AF prevalence in minority groups was lower than in non-Hispanic White populations under routine clinical care.
In stroke patients, AF prevalence was 7-10 times higher in Asian and Hispanic/Latino groups compared to overall rates.
Ascertainment bias significantly narrows the AF prevalence gap between minority and non-Hispanic White populations.
Abstract
The aim of this study is to define atrial fibrillation (AF) prevalence and incidence rates across minority groups in the United States (US), to aid in diversity enrollment target setting for randomized controlled trials. In AF, US minority groups have lower clinically detected prevalence compared to the non-Hispanic or Latino White (NHW) population. We assess the impact of ascertainment bias on AF prevalence estimates. We analyzed data from adults in Optum’s de-identified Clinformatics® Data Mart Database from 2017–2020 in a cohort study. Presence of AF at baseline was identified from inpatient and/or outpatient encounters claims using validated ICD-10-CM diagnosis algorithms. AF incidence and prevalence rates were determined both in the overall population, as well as in a population with a recent stroke event, where monitoring for AF is assumed. Differences in prevalence across cohorts…
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Taxonomy
TopicsAtrial Fibrillation Management and Outcomes · Health Systems, Economic Evaluations, Quality of Life · Acute Ischemic Stroke Management
