肥胖是儿科创伤患者腹部计算机断层扫描成像的预测因素。

IF 2.9 2区 医学 Q2 CRITICAL CARE MEDICINE
Christina Colosimo, Banan Otaibi, Sai Krishna Bhogadi, Adam Nelson, Audrey L Spencer, Tanya Anand, Collin Stewart, Louis J Magnotti, Bellal Joseph
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引用次数: 0

摘要

背景:计算机断层扫描(CT)有助于降低因遗漏损伤而导致的发病率。然而,CT 成像与辐射暴露有关,因此对儿科患者的适应症有限。在这项研究中,我们旨在确定肥胖与小儿创伤患者腹部 CT 成像之间的关系:我们对美国外科医生学会 2017-2020 年创伤质量改进进行了为期 4 年的回顾性分析。我们确定了所有年龄在 7 到 17 岁之间、出现孤立性腹部创伤(非腹部简略损伤量表评分为 0 分)的儿科创伤患者。我们排除了接受出血控制手术的患者以及身高和体重信息缺失的患者。患者按体重指数分为四组(体重不足、正常、超重和肥胖[体重指数≥30 kg/m2])。结果为接受腹部 CT 成像检查的预测因素。我们进行了描述性统计和多变量逻辑回归分析:我们共发现了 10204 名儿科创伤患者。平均年龄为 13 岁,68% 为男性,77% 为白人。单变量分析显示,体重不足的患者接受 CT 成像检查的比例最低(25%),而肥胖患者接受 CT 成像检查的比例最高(38%)(P < 0.001)。在多变量回归分析中,年龄增加(调整赔率比 [aOR],1.08;95% 置信区间 [CI],1.06-1.10;p < 0.001)、性别为男性(aOR,1.14;95% CI,1.03-1.26;p = 0.009)、白种人(aOR,0.84;95% CI,0.76-0.92;p < 0.011)、穿透性损伤(aOR,1.16;95% CI,1.03-1.32;p = 0.017)、肥胖(aOR,1.30;95% CI,1.07-1.57;p = 0.008)以及在美国外科学院二级(aOR,1.63;95% CI,1.44-1.85;p < 0.001)和三级或更低级中心(aOR,1.17;95% CI,1.06-1.26;p = 0.002)进行管理被确定为接受 CT 成像的独立预测因素:结论:肥胖与小儿创伤患者接受 CT 成像检查的几率增加有关,与损伤特征无关。结论:肥胖与小儿创伤患者接受 CT 成像检查的几率增加有关,而与受伤特征无关。未来有必要确定小儿创伤患者接受 CT 成像检查的适当适应症,以减少 CT 辐射的不良影响:预后和流行病学;III 级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Obesity is a predictor of abdominal computed tomography imaging in pediatric trauma patients.

Background: Computed tomography (CT) has helped to reduce the morbidity due to missed injuries. However, CT imaging is associated with radiation exposure and thus has limited indications in pediatric patients. In this study, we aimed to identify the association between obesity and abdominal CT imaging in pediatric trauma patients.

Methods: We performed a 4-year retrospective analysis of the American College of Surgeons Trauma Quality Improvement 2017-2020. We identified all pediatric trauma patients aged between 7 and 17 years presenting with isolated abdominal trauma (nonabdominal Abbreviated Injury Scale score, 0). We excluded patients undergoing hemorrhage control surgeries and those with missing information in height and weight. Patients were stratified by body mass index into four groups (underweight, normal, overweight, and obese [body mass index, ≥30 kg/m2]). Outcomes were predictors of undergoing CT imaging of the abdomen. Descriptive statistics and multivariable logistic regression analyses were performed.

Results: We identified a total of 10,204 pediatric trauma patients. The mean age was 13 years, 68% were male, and 77% were White. The median abdominal Abbreviated Injury Scale score in all the four groups was 2. On univariate analysis, underweight patients had lowest rates (25%), whereas obese patients had highest rates of CT imaging (38%) (p < 0.001). On multivariable regression analysis, increasing age (adjusted odds ratio [aOR], 1.08; 95% confidence interval [CI], 1.06-1.10; p < 0.001), male sex (aOR, 1.14; 95% CI, 1.03-1.26; p = 0.009), White race (aOR, 0.84; 95% CI, 0.76-0.92; p < 0.011), penetrating injury (aOR, 1.16; 95% CI, 1.03-1.32; p = 0.017), obesity (aOR, 1.30; 95% CI, 1.07-1.57; p = 0.008), and management at American College of Surgeons level II (aOR, 1.63; 95% CI, 1.44-1.85; p < 0.001) and level III or lower centers (aOR, 1.17; 95% CI, 1.06-1.26; p = 0.002) were identified as independent predictors of receiving CT imaging.

Conclusion: Obesity is associated with increased odds of undergoing CT imaging in pediatric trauma patients independent of injury characteristics. Future efforts to define the appropriate indications for CT imaging in pediatric trauma patients are warranted to reduce the adverse effects of CT radiation.

Level of evidence: Prognostic and Epidemiological; Level III.

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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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