Sutlive Thomas G, Lopez Heather P, Schnitker Dani E, Yawn Sarah E, Halle Robert J, Mansfield Liem T, Boyles Robert E, Childs John D
US Army-Baylor University Dotoral Program in Physical Therapy, San Antonio, TX, USA.
J Orthop Sports Phys Ther. 2008 Sep;38(9):542-50. doi: 10.2519/jospt.2008.2753. Epub 2008 Sep 1.
Prospective cohort/predictive validity study.
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.
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.
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.
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%.
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.
前瞻性队列/预测效度研究。
确定常见临床检查项目的诊断准确性,并构建一个初步的临床预测规则,用于诊断单侧髋关节疼痛患者的髋关节骨关节炎(OA)。
目前诊断髋关节OA的金标准是骨盆站立前后位(AP)X线片。除了阿尔特曼标准外,很少有研究确定临床检查结果对诊断髋关节OA的准确性。
72名受试者完成了该研究。每位受试者均接受了标准化的病史采集、体格检查以及骨盆站立AP X线片检查。根据X线片,Kellgren和Lawrence评分达到2分或更高的受试者被认为患有确诊的髋关节OA。计算似然比(LRs)以确定哪些临床检查结果对髋关节OA的诊断最具特异性。将潜在的预测变量纳入逻辑回归模型,以确定诊断髋关节OA最准确的一组临床检查项目。
72名受试者中有21名(29%)有髋关节OA的影像学证据。确定了一个由5个检查变量组成的临床预测规则。如果5个变量中至少有4个存在,则阳性LR等于24.3(95%置信区间:4.4 - 142.1),将髋关节OA的概率提高到91%。
初步的临床预测规则能够事先识别出可能患有髋关节OA的髋关节疼痛患者。在该规则能够应用于常规临床实践之前,应进行一项验证研究。