扫描老年人,尽量减少漏诊:EAST 多中心研究。

IF 3.7 2区 医学 Q2 CRITICAL CARE MEDICINE Journal of Trauma and Acute Care Surgery Pub Date : 2025-01-01 Epub Date: 2024-12-14 DOI:10.1097/TA.0000000000004390
Vanessa P Ho, Sami K Kishawi, Hannah Hill, Joseph O'Brien, Asanthi Ratnasekera, Sirivan Suon Seng, Trieu Hai Ton, Christopher A Butts, Alison Muller, Bernardo Fabian Diaz, Gerard A Baltazar, Patrizio Petrone, Tulio Brasileiro Silva Pacheco, Shawna Morrissey, Timothy Chung, Jessica Biller, Lewis E Jacobson, Jamie M Williams, Cole S Nebughr, Pascal O Udekwu, Kimberly Tann, Charles Piehl, Jessica M Veatch, Thomas J Capasso, Eric J Kuncir, Lisa M Kodadek, Samuel M Miller, Defne Altan, Caleb Mentzer, Nicholas Damiano, Rachel Burke, Angela Earley, Stephanie Doris, Erica Villa, Michael C Wilkinson, Jacob K Dixon, Esther Wu, Melissa L Moncrief, Brandi Palmer, Karen Herzing, Tanya Egodage, Jennifer Williams, James Haan, Kelly Lightwine, Kristin P Colling, Melissa L Harry, Jeffry Nahmias, Erika Tay-Lasso, Joseph Cuschieri, Christopher J Hinojosa, Jeffrey A Claridge
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引用次数: 0

摘要

背景:尽管老年人钝性外伤的发生率很高,但对这一人群进行计算机断层扫描(CT)成像却缺乏循证指导。我们旨在确定一种算法,以指导使用全扫描(头部/脊柱/躯干)或选择性扫描(头部/脊柱 ± 躯干)。我们假设患者的初始病史和检查可用于指导成像:我们对 18 家一级/二级创伤中心 65 岁以上的钝性创伤患者进行了前瞻性研究。不包括伤后 24 小时后就诊的患者,也不包括到达时已经死亡的患者。我们收集了病史和体格要素以及最终的损伤诊断。损伤诊断分为头部/脊柱或躯干(胸部、腹部/骨盆和T/L脊柱)CT身体区域。利用机器学习和回归建模以及基于先验临床算法的方法,我们针对数据集测试了各种决策规则。我们的首要任务是找出一种可在床边应用的简单规则,最大限度地提高灵敏度(Sens)和阴性预测值(NPV),以减少漏诊:我们共收治了 5498 名患者,其中有 3082 人受伤。近一半的患者(47.1%,n = 2,587)的损伤位于确定的 CT 身体区域内。目前还没有找到适合临床使用的 Sens/NPV Pan-Scan 指导规则。结合体格检查结果和特定的高风险标准,确定了一种临床算法来识别需要进行 Pan-Scan 扫描的患者,该算法的 Sens 值为 0.94,NPV 值为 0.86,除 90 名患者(1.6%)外,该规则可识别所有患者的损伤,理论上可使 11.9% 的钝性外伤患者(655 名)免于进行躯干 CT 扫描:我们的研究结果主张对所有老年患者进行头部/脊柱 CT 检查,并在临床发现阳性和符合高风险标准的情况下增加躯干 CT 检查。对这一规则的前瞻性验证可简化对这一日益增长的创伤人群的诊断护理:2级,诊断测试或标准。
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Scanning the aged to minimize missed injury: An Eastern Association for the Surgery of Trauma multicenter study.

Background: Despite the high incidence of blunt trauma in older adults, there is a lack of evidence-based guidance for computed tomography (CT) imaging in this population. We aimed to identify an algorithm to guide use of a pan-scan (head/cervical spine [C-spine]/torso) or a selective scan (head/C-spine ± torso). We hypothesized that a patient's initial history and examination could be used to guide imaging.

Methods: We prospectively studied blunt trauma patients 65 years or older at 18 Level I/II trauma centers. Patients presenting >24 hours after injury or who died upon arrival were excluded. We collected history and physical elements and final injury diagnoses. Injury diagnoses were categorized into CT body regions of head/C-spine or Torso (chest, abdomen/pelvis, and thoracolumbar spine). Using machine learning and regression modeling as well as a priori clinical algorithms based, we tested various decision rules against our data set. Our priority was to identify a simple rule, which could be applied at the bedside, maximizing sensitivity and negative predictive value (NPV) to minimize missed injuries.

Results: We enrolled 5,498 patients with 3,082 injuries. Nearly half (n = 2,587 [47.1%]) had an injury within the defined CT body regions. No rule to guide a pan-scan could be identified with suitable sensitivity/NPV for clinical use. A clinical algorithm to identify patients for pan-scan, using a combination of physical examination findings and specific high-risk criteria, was identified and had a sensitivity of 0.94 and NPV of 0.86. This rule would have identified injuries in all but 90 patients (1.6%) and would theoretically spare 11.9% (655) of blunt trauma patients a torso CT.

Conclusion: Our findings advocate for head/C-spine CT in all geriatric patients with the addition of torso CT in the setting of positive clinical findings and high-risk criteria. Prospective validation of this rule could lead to streamlined diagnostic care of this growing trauma population.

Level of evidence: Diagnostic Tests or Criteria; Level II.

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来源期刊
CiteScore
6.00
自引率
11.80%
发文量
637
审稿时长
2.7 months
期刊介绍: The Journal of Trauma and Acute Care Surgery® is designed to provide the scientific basis to optimize care of the severely injured and critically ill surgical patient. Thus, the Journal has a high priority for basic and translation research to fulfill this objectives. Additionally, the Journal is enthusiastic to publish randomized prospective clinical studies to establish care predicated on a mechanistic foundation. Finally, the Journal is seeking systematic reviews, guidelines and algorithms that incorporate the best evidence available.
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