학술논문
Overview of Geriatric Trauma in an Urban Trauma Center in Eastern China: Implications from Computational Intelligence for Localized Trauma-Specific Frailty Index System Design
Document Type
article
Author
Source
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-7 (2023)
Subject
Language
English
ISSN
1875-6883
Abstract
Abstract Due to the lifestyle and activity of the aging population, it is expected that geriatric trauma will increase and become one of the major challenges in health care. The objective of this study was to determine epidemiological differences between geriatric trauma patients and their younger counterparts, and to find the implications for localized Trauma-Specific Frailty Index (TSFI) system design. This study was a retrospective analysis of adult patients registered in the Trauma Registry, comparisons were made between the geriatric patients, aged over 65 years old, and the younger patients, aged 18–64 years old. Variables were collected include demography, injury mechanism, type, severity of injuries sustained, and outcomes. From July 2018 to July 2021, 2594 trauma patients were evaluated. Injury severity score (ISS) in the geriatric patients’ group is not higher than the younger patients’ group statistically (P = 0.066), and results in increased ICU occupancy and mortality risk as compared with the younger patients (P