Evidence map›Paper›PMID 41399462›Full record

ArticleJournal of the American College of Emergency Physicians open2026

Trends and Predictors of Emergency Department Outcomes in Atrial Fibrillation: A Statewide Analysis from North Carolina-2016 to 2023.

Shantanu Srivatsa, Parsa Pazooki, Benjamin K Lau, Anna Waller, Anna Bess Brown, Kimberly McDonald, Anil Gehi, Wayne Rosamond

Abstract read
In one paragraph

Article in Journal of the American College of Emergency Physicians open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Shantanu SrivatsaUNC Chapel Hill School of Medicine, Gillings School of Public Health, Chapel Hill, North Carolina, USA.
Parsa PazookiUNC Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
Benjamin K LauUNC Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA.
Anna WallerCarolina Center for Health Informatics in the Department of Emergency Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Anna Bess BrownDivision of Public Health, North Carolina Department of Health and Human Services, Raleigh, North Carolina, USA.
Kimberly McDonaldDivision of Public Health, North Carolina Department of Health and Human Services, Raleigh, North Carolina, USA.
Anil GehiDivision of Cardiology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Wayne RosamondDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
NHLBI NIH HHS T32 HL007055
6 · The paper itself

Abstract

Objectives: The population burden of atrial fibrillation (AF) continues to rise, leading to significant implications for emergency departments (EDs) managing acute presentations and complications. In this study, we aimed to characterize statewide trends in ED visits, admissions, and mortality related to AF, evaluate the association of AF outcomes with heart failure (HF) subtypes, and identify demographic and clinical predictors of these outcomes. Methods: This retrospective statewide analysis utilized ED data from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT) from 2016 to 2023. AF encounters were identified using ICD-10-CM diagnosis codes (I48.0-I48.2). Multivariable logistic regression was performed to evaluate predictors of hospital admission and mortality. Results: Among 39,445,680 ED visits, 517,722 (1.3%) had a diagnosis of AF. AF-related visits peaked in 2018 and declined significantly during the COVID-19 pandemic but recovered to previous levels by 2023. Hospital admission rates remained consistently high (63.7%-73.3%), whereas intra-encounter mortality was low but increased after 2020 (0.2% [pre-2020] to 0.6% [post-2020]). Patients with concomitant HF had increased odds of admission (HfpEF, OR 2.16; 95% CI [2.11-2.21]; HfrEF, OR 2.43; 95% CI [2.36-2.50]). In models evaluating intra-encounter mortality, AF + HFrEF (OR, 1.30; 95% CI [1.05-1.60]) but not AF + HFpEF (OR, 1.13; 95% CI [0.92-1.37]) was significantly associated with increased mortality; in subanalyzes excluding infectious presentations, AF + HFrEF was still associated with increased mortality (OR, 1.56; 95% CI [1.20-2.03]). Conclusion: These findings highlight continued clinical complexity and disparities in AF management in a large statewide syndromic surveillance database, particularly the association of comorbid HF and AF in emergent settings. Population-wide surveillance of AF can help assess the need for improved outpatient care, especially in populations with comorbid HF or high-risk and underserved populations.

Indexed as

Atrial fibrillationEpidemiologyHeart failureSyndromic surveillance

Identifiers

PMID41399462
PMCPMC12702206

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.