Duma Stefan M, Ng Tracy P, Kennedy Eric A, Stitzel Joel D, Herring Ian P, Kuhn Ferenc
Virginia Tech-Wake Forest Center for Injury Biomechanics, Blacksburg 24061, USA.
J Trauma. 2005 Oct;59(4):960-4. doi: 10.1097/01.ta.0000174830.55282.32.
Eye injuries affect a large proportion of the population and are expensive to treat. This article presents a parametric analysis of experimental data to determine the most significant factors for predicting ocular injuries or tissue lesions.
Using logistic regression, statistical values were generated to determine significant projectile characteristics for predicting ocular injury in published studies. Projectiles included BBs, metal rods, and foam particles with velocities ranging from 2 m/s to 122 m/s.
A normalized energy (energy per projected area) value was found as the best predictor for ocular injury. Using this predictor, a 50% injury risk of corneal abrasion, lens dislocation, hyphema, retinal damage, and globe rupture was found to be 1,503 kg/s(2), 19,194 kg/s(2), 20,188 kg/s(2), 30,351 kg/s(2), and 23,771 kg/s(2), respectively.
Normalized energy was the most significant predictor of injury type and tissue lesion. This finding is of great value for history-taking management triaging and as a design aid to minimize the risk of ocular injury for consumer products.
眼外伤影响着很大一部分人群，且治疗费用高昂。本文对实验数据进行参数分析，以确定预测眼外伤或组织损伤的最重要因素。
利用逻辑回归生成统计值，以确定已发表研究中预测眼外伤的重要射弹特征。射弹包括气枪子弹、金属棒和速度范围为2米/秒至122米/秒的泡沫颗粒。
发现归一化能量（每投影面积的能量）值是眼外伤的最佳预测指标。使用该预测指标，角膜擦伤、晶状体脱位、前房积血、视网膜损伤和眼球破裂的50%损伤风险分别为1,503千克/秒²、19,194千克/秒²、20,188千克/秒²、30,351千克/秒²和23,771千克/秒²。
归一化能量是损伤类型和组织损伤的最重要预测指标。这一发现对于病史采集管理分诊以及作为一种设计辅助手段以尽量降低消费品眼外伤风险具有重要价值。
