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首页> 外文期刊>BMC Musculoskeletal Disorders >Critical shoulder angle combined with age predict five shoulder pathologies: a retrospective analysis of 1000 cases
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Critical shoulder angle combined with age predict five shoulder pathologies: a retrospective analysis of 1000 cases

机译:临界肩角结合年龄可预测五种肩部疾病:1000例病例的回顾性分析

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Background Acromial morphology has previously been defined as a risk factor for some shoulder pathologies. Yet, study results are inconclusive and not all major shoulder diseases have been sufficiently investigated. Thus, the aim of the present study was to analyze predictive value of three radiological parameters including the critical shoulder angle, acromion index, and lateral acromion angle in relationship to symptomatic patients with either cuff tear arthropathy, glenohumeral osteoarthritis, rotator cuff tear, impingement, and tendinitis calcarea. Methods A total of 1000 patients’ standardized true-anteroposterior radiographs were retrospectively assessed. Receiver-operating curve analyses and multinomial logistic regression were used to examine the association between shoulder pathologies and acromion morphology. The prediction model was derived from a development cohort and applied to a validation cohort. Prediction model’s performance was statistically evaluated. Results The majority of radiological measurements were significantly different between shoulder pathologies, but the critical shoulder angle was an overall better parameter to predict and distinguish between the different pathologies than the acromion index or lateral acromion angle. Typical critical shoulder angle-age patterns for the different shoulder pathologies could be detected. Patients diagnosed with rotator cuff tears had the highest, whereas patients with osteoarthritis had the lowest critical shoulder angle. The youngest patients were in the tendinitis calcarea and the oldest in the cuff tear arthropathy group. Conclusions The present study showed that critical shoulder angle and age, two easily assessable variables, adequately predict different shoulder pathologies in patients with shoulder complaints.
机译:背景先前已经将肩峰形态定义为某些肩部病理的危险因素。然而,研究结果尚无定论,并非所有主要的肩部疾病都得到了充分的研究。因此,本研究的目的是分析与肩袖撕裂病,肩肱骨关节炎,肩袖撕裂,撞击,和钙化肌腱炎。方法回顾性评估1000例患者的标准真前后位X线片。接受者操作曲线分析和多项式逻辑回归被用来检查肩部病理和肩峰形态之间的关系。预测模型源自开发队列,并应用于验证队列。对预测模型的效果进行了统计评估。结果大多数放射学测量值在肩部病理之间显着不同,但与肩峰指数或侧面肩峰角度相比,临界肩角是更好的整体参数,可用来预测和区分不同的病理。可以检测到针对不同肩部病理的典型临界肩角年龄模式。诊断为肩袖撕裂的患者最高,而骨关节炎患者的临界肩角最低。最年轻的患者是钙化肌腱炎,而最古老的患者是袖带撕裂性关节炎组。结论本研究表明,临界肩角和年龄是两个易于评估的变量,可以充分预测肩部不适患者的不同肩部病理。

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