Publication Type
Journal Article
Version
publishedVersion
Publication Date
2-2026
Abstract
Background Patients with panic related-anxiety (i.e., panic attacks or panic disorder) frequently present to emergency departments (EDs) with cardiopulmonary complaints but are often undiagnosed, which can lead to recurrent visits and prolonged distress. This study aimed to derive a new symptom-based multivariable diagnostic prediction model to detect panic-related anxiety in ED patients with cardiopulmonary symptoms.Methods We conducted a single-blind prospective derivation study over 15 months in the ED of a major tertiary hospital in Singapore. Patients presenting with symptoms of palpitations, chest pain, dizziness, or difficulty breathing were assessed using the Structured Clinical Interview for DSM Disorders (SCID) to diagnose panic-related anxiety. A stepwise multivariable prediction model was constructed using 13 SCID-defined panic symptoms as predictors, with the diagnosis of panic-related anxiety as the outcome. Diagnostic accuracy was evaluated through sensitivity, specificity, receiver operating characteristics (ROC), and the Youden index.Results 321 eligible patients were included, with 39% meeting criteria for panic-related anxiety. The optimal cutoff (>= 3 symptoms) in the derived model achieved an area under the curve (AUC) of 0.88, sensitivity of 78.4%, specificity of 85.7%, a Youden index of 64.1%, classified 82.9% correctly, positive likelihood ratio=5.4880, and negative likelihood ratio=0.2520.Conclusions This newly derived model demonstrated strong diagnostic accuracy in identifying panic-related anxiety among ED patients with cardiopulmonary complaints, suggesting its potential utility in clinical screening. Implementation of this model may facilitate timely diagnosis, reduce repeated ED visits, and improve patient outcomes.
Keywords
emergency department, panic attack, panic disorder, prediction model, screening interview
Discipline
Health Psychology | Statistical Models
Publication
Frontiers in Psychiatry
Volume
17
First Page
1
Last Page
8
ISSN
1664-0640
Identifier
10.3389/fpsyt.2026.1750468
Publisher
Frontiers Media
Citation
Sung, Sharon C., Ang, Felicia J. L., Earnest, Arul, Lim, Leslie E. C., Jolly, Shreshtha, NG, Gilaine Rui, Rush, A. John, & Ong, Marcus E. H..(2026). Derivation of an updated brief multivariable prediction model to detect panic-related anxiety in emergency department patients with cardiopulmonary complaints. Frontiers in Psychiatry, 17, 1-8.
Available at: https://ink.library.smu.edu.sg/soss_research/4419
Copyright Owner and License
Authors-CC-BY
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.3389/fpsyt.2026.1750468