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首页> 外文期刊>The journal of orthopaedic and sports physical therapy >Development of a clinical prediction rule for diagnosing hip osteoarthritis in individuals with unilateral hip pain.
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Development of a clinical prediction rule for diagnosing hip osteoarthritis in individuals with unilateral hip pain.

机译:临床诊断规则的开发,用于诊断患有单侧髋痛的人的髋骨关节炎。

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STUDY DESIGN: Prospective cohort/predictive validity study. OBJECTIVE: To determine the diagnostic accuracy of common clinical examination items and to construct a preliminary clinical prediction rule for diagnosing hip osteoarthritis (OA) in individuals with unilateral hip pain. BACKGROUND: The current gold standard for the diagnosis of hip OA is a standing anteroposterior (AP) radiograph of the pelvis. Other than for Altman's criteria, little research has been done to determine the accuracy of clinical examination findings for diagnosing hip OA. METHODS AND MEASURES: Seventy-two subjects completed the study. Each subject received a standardized history, physical examination, and standing AP radiograph of the pelvis. Subjects with a Kellgren and Lawrence score of 2 or higher based on the radiographs were considered to have definitive hip OA. Likelihood ratios (LRs) were computed to determine which clinical examination findings were most diagnostic of hip OA. Potential predictor variables were entered into a logistic regression model to determine the most accurate set of clinical examination items for diagnosing hip OA. RESULTS: Twenty-one (29%) of the 72 subjects had radiographic evidence of hip OA. A clinical prediction rule consisting of 5 examination variables was identified. If at least 4 of 5 variables were present, the positive LR was equal to 24.3 (95% confidence interval: 4.4-142.1), increasing the probability of hip OA to 91%. CONCLUSION: The preliminary clinical prediction rule provides the ability to a priori identify patients with hip pain who are likely to have hip OA. A validation study should be done before the rule can be implemented in routine clinical practice.
机译:研究设计:前瞻性队列/预测效度研究。目的:确定常见临床检查项目的诊断准确性,并建立诊断单侧髋痛的髋骨关节炎(OA)的初步临床预测规则。背景:目前用于诊断髋骨关节炎的金标准是站立的骨盆前后位片。除了用于Altman的标准外,几乎没有开展任何研究来确定用于诊断髋关节炎的临床检查结果的准确性。方法和措施:72名受试者完成了研究。每个受试者均接受标准化的病史,体格检查和站立式骨盆AP射线照相。根据X射线照片得出的Kellgren和Lawrence得分为2或更高的受试者被认为具有明确的髋骨OA。计算似然比(LRs)以确定哪些临床检查结果最能诊断出髋骨OA。将潜在的预测变量输入到逻辑回归模型中,以确定最准确的一组临床诊断项目,以诊断髋骨关节炎。结果:72名受试者中有21名(29%)具有髋骨OA的影像学证据。确定了由5个检查变量组成的临床预测规则。如果存在5个变量中的至少4个,则阳性LR等于24.3(95%置信区间:4.4-142.1),将髋骨OA的可能性增加到91%。结论:初步的临床预测规则提供了先验识别可能患有髋关节炎的髋部疼痛患者的能力。在常规临床实践中可以实施该规则之前,应进行验证研究。

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