肌肉骨损伤风险分层:军人服务人员的交通信号灯系统
Megan H Roach1,2,3, Matthew B Bird1,3, Matthew S Helton4
1Extremity Trauma & Amputation Center of Excellence, Defense Health Agency, Falls Church, VA 22041, USA.
Healthcare (Basel, Switzerland)
|June 28, 2023
概括
自我报告的肌肉骨损伤 (MSKI) 风险评估有效地识别了有风险的军事人员. 使用这些因素的交通信号模型区分了针对性干预的低,中和高MSKI风险水平.
科学领域:
- 运动医学 运动医学
- 军人卫生保健 军人卫生保健
- 伤害预防 预防伤害
背景情况:
- 肌肉骨损伤 (MSKIs) 是军人群中的一个重大问题,影响了准备和医疗保健成本.
- 有效的风险因素识别对于制定有针对性的MSKI缓解策略至关重要.
研究的目的:
- 评估自我报告的MSKI风险评估在识别高风险的服务人员时的准确性.
- 为了确定一个交通信号灯模型是否能够有效地分层MSKI风险水平在这个群体内.
主要方法:
- 一项回顾性队列研究分析了2520名军事服务人员的数据,使用了16项自报的MSKI风险评估.
- 推导出11个变量,其中9个被确定为开发交通信号灯模型的风险因素 (绿色,珀色,红色).
- 创建了四个交通信号灯模型,以评估不同的风险类别切线及其精度.
主要成果:
- 在11个评估的变量中,有9个与MSKI风险增加有显著的关联.
- 被归类为珀色 (危险比率 [HR] = 1.38-1.70) 或红色 (HR = 2.67-5.82) 的服役人员的MSKI风险明显更高.
- 交通信号灯模型在区分风险水平方面表现得精确.
结论:
- 自我报告的MSKI风险评估可以准确地识别高风险的服务人员.
- 交通信号灯模型为分层MSKI风险提供了一个实用的工具,使得有优先级的骨科护理和个性化缓解计划.
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