Szabo R M, Slater R R, Farver T B, Stanton D B, Sharman W K
Department of Orthopaedic Surgery, University of California, Davis, Sacramento 95817, USA.
J Hand Surg Am. 1999 Jul;24(4):704-14. doi: 10.1053/jhsu.1999.0704.
The purpose of this study was to determine the validity of tests or a combination of tests for the diagnosis of carpal tunnel syndrome. Three groups of 50 subjects each were studied: group 1 had definite carpal tunnel syndrome as defined by history, clinical presentation, and improvement of symptoms following carpal tunnel release; group 2 had a variety of nontraumatic upper extremity disorders other than carpal tunnel syndrome; and group 3 subjects were asymptomatic healthy volunteers. Subjects submitted a self-administered hand diagram, and were queried about night pain, symptom duration, and coexistent medical conditions. Phalen's test, Tinel's sign, Durkan's compression test, and Semmes-Weinstein monofilament testing both before and after a Phalen's maneuver for 5 minutes were performed on each subject. Grip and pinch strengths were measured. Univariate analysis of groups 1 and 2 showed that the tests with the highest sensitivity were Durkan's compression test (89%), Semmes-Weinstein testing after Phalen's maneuver (83%), and hand diagram scores (76%). Night pain was a sensitive symptom predictor (96%). The most specific tests were the hand diagram (76%) and Tinel's sign (71%). Analysis of groups 1 and 3 without group 2 increased the specificity and predictive value of a positive test. A regression model was used to develop a multivariate equation with 4 variables. If a patient has an abnormal hand diagram, abnormal sensibility by Semmes-Weinstein testing in wrist-neutral position, a positive Durkan's test, and night pain, the probability that carpal tunnel syndrome will be correctly diagnosed is 0.86. If all 4 of these conditions are normal, the probability that the patient has carpal tunnel syndrome is 0.0068. We found that the addition of electrodiagnostic tests did not increase the diagnostic power of the combination of 4 clinical tests.
本研究的目的是确定用于诊断腕管综合征的各项检查或检查组合的有效性。研究对象分为三组,每组50人:第一组根据病史、临床表现以及腕管松解术后症状改善情况确诊为腕管综合征;第二组患有除腕管综合征以外的各种非创伤性上肢疾病;第三组为无症状的健康志愿者。研究对象提交一份自行绘制的手部示意图,并被询问夜间疼痛情况、症状持续时间以及并存的疾病状况。对每位研究对象均进行Phalen试验、Tinel征、Durkan压迫试验,以及在进行5分钟Phalen动作前后的Semmes-Weinstein单丝试验。测量握力和捏力。对第一组和第二组进行单因素分析,结果显示敏感性最高的检查为Durkan压迫试验(89%)、Phalen动作后的Semmes-Weinstein试验(83%)以及手部示意图评分(76%)。夜间疼痛是一个敏感的症状预测指标(96%)。特异性最高的检查是手部示意图(76%)和Tinel征(71%)。去除第二组后对第一组和第三组进行分析,提高了阳性检查的特异性和预测价值。使用回归模型建立了一个包含4个变量的多变量方程。如果患者手部示意图异常、腕关节中立位时Semmes-Weinstein试验感觉异常、Durkan试验阳性且有夜间疼痛,那么正确诊断为腕管综合征的概率为0.86。如果这4种情况均正常,那么患者患有腕管综合征的概率为0.0068。我们发现,增加电诊断检查并未提高4项临床检查组合的诊断能力。