Orthopedic Trauma Fellow, Orthopaedic Department, University of British Columbia, Vancouver General Hospital, British Columbia, Canada.
Injury. 2010 Feb;41(2):137-40. doi: 10.1016/j.injury.2009.05.031. Epub 2009 Jun 30.
To study the epidemiology of foot injuries and factors predicting their severity in a high-income developing country so as to define prevention priorities.
All patients admitted to Al-Ain Hospital with foot injury between March 2003 and March 2006 were identified from a prospectively collected Trauma Registry. Injuries were scored using foot and ankle severity scale (FASS). Bilateral, multiple or segmental injuries, open fractures or those with FASS score higher than 3 were included in severe foot injury group and compared with simple foot injury group regarding patients' demography, co-morbidities, trauma mechanism and energy, incident location, number of associated injuries, Injury Severity Score (ISS) and hospital stay using a univariate analysis. A logistic regression model was then used to study factors predicting severity of foot injury.
171 patients (156 males) were studied. The average (range) age was 34 (2-75). 95 had right foot injury, 66 had left, and 10 had both. Fall from height was the most common mechanism. 105 (61%) had work-related injuries. 130 (76%) had isolated foot injury. 151 (88%) had 212 foot fractures. 20 (12%) had soft tissue injuries. 70 (41%) had severe injuries while 101 (59%) had simple ones. The multiple logistic model was highly significant (p=0.002). Number of associated injuries (p=0.025) and location of trauma (p=0.044) were significant while the amount of energy (p=0.054) showed a strong trend to predict severity.
Fall from height is the most common mechanism of foot injury in United Arab Emirates. The number of associated injuries, high-energy trauma, and being work related are predictors of foot injury severity. Prevention priorities include counteractions against falling from height and falling heavy objects as occupational hazards.
研究高收入发展中国家足部损伤的流行病学特征及严重程度的预测因素，从而明确预防重点。
从 2003 年 3 月至 2006 年 3 月前瞻性收集的创伤登记处中确定在艾因医院因足部损伤住院的所有患者。采用足踝严重度评分（foot and ankle severity scale，FASS）对损伤进行评分。双侧、多处或节段性损伤、开放性骨折或 FASS 评分>3 分者纳入严重足部损伤组，与单纯足部损伤组进行比较，比较内容包括患者人口统计学特征、合并症、创伤机制和能量、损伤部位、合并损伤数量、损伤严重度评分（injury severity score，ISS）和住院时间，采用单因素分析。然后采用逻辑回归模型研究预测足部损伤严重程度的因素。
共纳入 171 例患者（男 156 例），平均（范围）年龄为 34（2-75）岁。95 例患者右侧足部损伤，66 例左侧，10 例双侧。高处坠落伤是最常见的损伤机制。105 例（61%）为工作相关损伤。130 例（76%）为单纯足部损伤。151 例（88%）有 212 处足部骨折。20 例（12%）有软组织损伤。70 例（41%）为严重损伤，101 例（59%）为单纯损伤。多变量逻辑回归模型高度显著（p=0.002）。合并损伤数量（p=0.025）和损伤部位（p=0.044）有统计学意义，而能量大小（p=0.054）有显著趋势预测严重程度。
在阿拉伯联合酋长国，高处坠落伤是足部损伤最常见的机制。合并损伤数量、高能创伤和职业相关是足部损伤严重程度的预测因素。预防重点包括针对高处坠落和重物坠落作为职业危害的预防措施。
