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Influencing factors and early predictive model of acute stress disorder in traumatic patients: A clinical comparative cohort study. | LitMetric

Influencing factors and early predictive model of acute stress disorder in traumatic patients: A clinical comparative cohort study.

Injury

Department of Epidemiology and Health Statistics, School of Public Health, Zunyi Medical University, Zunyi, Guizhou, 563006, China; Key Laboratory of Maternal & Child Health and Exposure Science of Guizhou Higher Education Institutes, Zunyi, Guizhou, China; Center for Pediatric Trauma Research & Center for Injury Research and Policy, The Abigail Wexner Research Institute at Nationwide Children's Hospital, The Ohio State University College of Medicine, Columbus, OH, USA. Electronic address:

Published: June 2024

AI Article Synopsis

  • The study aimed to identify key factors influencing Acute Stress Disorder (ASD) in hospitalized patients to enhance early detection and intervention.
  • Researchers analyzed data from 489 inpatients across three hospitals using various statistical methods to understand the impact of trauma, psychological stress, fear, and pain.
  • Findings indicated that trauma exposure and psychological burdens significantly contribute to ASD, with high sensitivity and specificity in predicting cases, suggesting a potential model for early ASD identification.

Article Abstract

Objective: To analyze the main influencing factors of ASD (Acute Stress Disorder) in inpatients, and provide some evidence for early clinical identification and intervention of ASD.

Methods: In this study, 489 inpatients were selected from 3 general hospitals in Zunyi City from September 2020 to August 2021. The patients were followed up with questionnaires. Mann Whitney U test, Logistic Regression analysis and Generalized Estimation Equation were used for difference comparison and influencing factor analyses.

Results: Multivariate logistic regression showed that trauma exposure, psychological burden, fear and pain degree were risk factors of ASD in all inpatients. The sensitivity and specificity of combined using of "trauma, psychological burden, fear and pain" in predicting ASD reached 89.40 % and 79.20 %, respectively; and the area under ROC could reach 0.897.

Conclusion: Based on the different risk factors, an early effective model could be built for ASD prediction in both traumatic and nontraumatic patients.

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Source
http://dx.doi.org/10.1016/j.injury.2024.111578DOI Listing

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