Tertiary Survey in the Days of Modern imaging: Assessing the Detection Rate of Clinically Significant Injuries on Tertiary Survey in a Level 2 Trauma Centre

CUREUS JOURNAL OF MEDICAL SCIENCE(2022)

引用 1|浏览4
暂无评分
摘要
Aim: To determine the utility of tertiary survey (TS) in patients subjected to whole-body CT (WBCT) or selective CT (SCT) following trauma. Methods: A retrospective analysis was performed on trauma patients admitted to a level 2 trauma centre following the introduction of a standardised TS form in 2017. The initial imaging protocol (WBCT versus selective CT versus x-ray), subsequently requested imaging, standardised injury data, and length of stay (LOS) were recorded. Clinically significant injuries were defined as those with an Injury Severity Score (ISS) of 1 on the Abbreviated Injury Scale (AIS). Results: Five hundred and seven patients were included. The rate of additional significant injuries at the time of TS was 1.18% (n-6), each requiring conservative management only. There was no significant difference in injury detection based on the initial imaging protocol; however, there were three near-misses identified. Of these patients, two underwent selective CT and one was subjected to a plain film series, with clinically significant injuries identified early upon completion of trauma imaging. Overall, 2.9% (n-15) of patients had completed trauma imaging during the same admission. WBCT was associated with higher ISS and length of stay (p<0.05). After controlling for ISS, there was no difference in length of stay between imaging modalities except in those patients with an ISS of 0 (no clinically significant injuries), who appeared to have longer admissions if subject to NWT (p<0.001). Conclusion: The rate of missed injuries identified at TS is low. The imaging modality did not alter this. This may allow for the omission of the tertiary survey and earlier discharge in many trauma patients.
更多
查看译文
关键词
selective ct, trauma ct, tertiary survey, whole body ct scan, pan scan
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要