Frequency, Recognition, and Potential Risk Factors of Incidental Findings on Trauma Computed Tomography Scans: A Cross-Sectional Study at an Urban Level One Trauma Center

创伤计算机断层扫描中意外发现的发生频率、识别率和潜在风险因素:一项在城市一级创伤中心开展的横断面研究

阅读:3

Abstract

BACKGROUND: Computed tomography (CT) use in injured patients has continuously increased in the past decades. We designed and undertook this study to evaluate the frequency, and potential risks of incidental findings (IFs), and how they were processed in trauma patients receiving CT scans. METHODS: We retrospectively reviewed CT scans, official CT reports, and basic demographics in trauma patients who received CT scans at our emergency department in 2016. Scans with IFs prompted a detailed review of medical records to determine clinical significance and how they were processed. IFs were classified into three categories: category I (potentially severe condition, in-time management required), category II (not urgent, follow-up needed), and category III (of minor concern). Multivariable logistic regression models were fitted to determine patient characteristics associated with IFs. RESULTS: In the 4,092 scans enrolled, IFs were identified in 649 (15.9%). There were 13 (2.0%) category I, 306 (47.2%) category II, and 330 (50.8%) category III IFs. Patients with IFs were older than those without. No sex-based difference was found. Most (61.5%) of the scans were performed for the head; however, the abdomen had the highest IF prevalence (26.2%). Documentation about IFs was poor; 31% of category I, 91.9% of category II, and 97.0% of category III have no related record. Old age remains the risk predicting the presence of IFs, and every year of increasing age was independently associated with a higher prevalence of IFs (OR: 1.019; 95% CI: 1.015-1.024). CONCLUSIONS: IFs are common in trauma CT scans; however, recognition and management remain poor. Abdomen and chest scans, and CT in older patients should remind us of increasing risks of IFs.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。