Background class='Para'>A multicenter retrospective analysis of patients treated for leg fractures was conducted to develop a score that correlates with fracture healing time and'/> Can a combination of different risk factors be correlated with leg fracture healing time?
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首页> 外文期刊>Journal of orthopaedics and traumatology: official journal of the Italian Society of Orthopaedics and Traumatology >Can a combination of different risk factors be correlated with leg fracture healing time?
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Can a combination of different risk factors be correlated with leg fracture healing time?

机译：不同风险因素的组合是否可以与腿部骨折的愈合时间相关？

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class="Heading">Background class="Para">A multicenter retrospective analysis of patients treated for leg fractures was conducted to develop a score that correlates with fracture healing time and to identify the risk gradient for delayed healing. class="Heading">Methods class="Para">Fifty-three patients were analyzed and considered healed when full weight bearing was possible. Patients were divided into those who healed within 180?days and those who took longer to heal. Risk factors associated with delayed healing, fracture morphology, and orthopedic treatments were recorded. The available literature was used to weight the relative risk associated with each factor; values were combined into a score evaluating the risk of delayed healing: L-ARRCO (a literature-based score where the risk of delayed bone healing is calculated using a specific algorithm). Other risk factors associated with delayed healing were then considered in order to calculate a new score, ARRCO. Continuous variables were compared between groups using Student’s heteroschedastic two-tail t test. Receiver operating characteristic (ROC) curves and the areas under the curves were calculated to determine the ability of this score to discriminate subjects with delayed healing. class="Heading">Results class="Para">The mean L-ARRCO scores of the patients who healed within and after 180?days were significantly different (5.78?±?1.59 and 7.05?±?2.46, respectively). The mean ARRCO scores of the patients who healed within and after 180?days were also significantly different (5.92?±?1.78 and 9.03?±?2.79, respectively). However, the area under the ROC curve was significantly smaller for L-ARRCO than for ARRCO (0.62?±?0.09 versus 0.82?±?0.07). class="Heading">Conclusions class="Para">The ARRCO score is significantly associated with fracture healing time and could be used to identify “fractures at risk,” allowing early intervention to stimulate osteogenesis.
机译：class =“ Heading”>背景 class =“ Para”>对腿部骨折接受治疗的患者进行了多中心回顾性分析，以建立与骨折愈合时间相关的评分，并确定骨折风险。延迟愈合。 class =“ Heading”>方法 class =“ Para”>对53例患者进行了分析，并认为它们在可能负重的情况下已al愈。将患者分为在180天内治愈的患者和需要更长治疗时间的患者。记录与延迟愈合，骨折形态和骨科治疗相关的危险因素。现有文献被用来加权与每个因素相关的相对风险。将这些值合并成一个评估延迟愈合风险的评分：L-ARRCO（基于文献的评分，其中使用特定算法计算延迟骨愈合的风险）。然后考虑与延迟愈合相关的其他危险因素，以便计算新的分数ARRCO。使用学生的异方差二尾 t 检验比较了各组之间的连续变量。计算接收器工作特征（ROC）曲线和曲线下的面积，以确定该分数区分出延迟愈合的受试者的能力。 class =“ Heading”>结果 class = “ Para“>在180天之内和之后he愈的患者的平均L-ARRCO得分有显着差异（分别为5.78±1.59和7.05±2.46）。在180天之内和之后he愈的患者的平均ARRCO得分也有显着差异（分别为5.92±1.78和9.03±2.79）。但是，L-ARRCO的ROC曲线下面积明显小于ARRCO（0.62？±？0.09对0.82？±？0.07）。 class =“ Heading”>结论 < p class =“ Para”> ARRCO评分与骨折愈合时间显着相关，可用于识别“危险骨折”，从而允许早期干预以刺激成骨。

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