Kocher M S, Zurakowski D, Kasser J R
Department of Biostastics, Orthopaedic Surgery, Children's Hospital, Harvard medical School, Boston, Massachusetts 02115, USA.
J Bone Joint Surg Am. 1999 Dec;81(12):1662-70. doi: 10.2106/00004623-199912000-00002.
A child who has an acutely irritable hip can pose a diagnostic challenge. The purposes of this study were to determine the diagnostic value of presenting variables for differentiating between septic arthritis and transient synovitis of the hip in children and to develop an evidence-based clinical prediction algorithm for this differentiation.
We retrospectively reviewed the cases of children who were evaluated at a major tertiary-care children's hospital between 1979 and 1996 because of an acutely irritable hip. Diagnoses of true septic arthritis, presumed septic arthritis, and transient synovitis were explicitly defined on the basis of the white blood-cell count in the joint fluid, the results of cultures of joint fluid and blood, and the clinical course. Univariate analysis and multiple logistic regression analysis were used to compare groups. A probability algorithm for differentiation between septic arthritis and transient synovitis on the basis of independent multivariate predictors was constructed and tested.
Patients who had septic arthritis differed significantly (p < 0.05) from those who had transient synovitis with regard to the erythrocyte sedimentation rate, serum white blood-cell count and differential, weight-bearing status, history of fever, temperature, evidence of effusion on radiographs, history of chills, history of recent antibiotic use, hematocrit, and gender. Patients who had true septic arthritis differed significantly (p < 0.05) from those who had presumed septic arthritis with regard to history of recent antibiotic use, history of chills, temperature, erythrocyte sedimentation rate, history of fever, gender, and serum white blood-cell differential. Four independent multivariate clinical predictors were identified to differentiate between septic arthritis and transient synovitis: history of fever, non-weight-bearing, erythrocyte sedimentation rate of at least forty millimeters per hour, and serum white blood-cell count of more than 12,000 cells per cubic millimeter (12.0 x 10(9) cells per liter). The predicted probability of septic arthritis was determined for all sixteen combinations of these four predictors and is summarized as less than 0.2 percent for zero predictors, 3.0 percent for one predictor, 40.0 percent for two predictors, 93.1 percent for three predictors, and 99.6 percent for four predictors. The chi-square test for trend and the area under the receiver operating characteristic curve indicated excellent diagnostic performance of this group of multivariate predictors in identifying septic arthritis.
Although several variables differed significantly between the group that had septic arthritis and the group that had transient synovitis, substantial overlap in the intermediate ranges made differentiation difficult on the basis of individual variables alone. However, by combining variables, we were able to construct a set of independent multivariate predictors that, together, had excellent diagnostic performance in differentiating between septic arthritis and transient synovitis of the hip in children.
患有急性髋关节疼痛的儿童可能带来诊断挑战。本研究的目的是确定用于区分儿童髋关节化脓性关节炎和暂时性滑膜炎的呈现变量的诊断价值,并开发一种基于证据的临床预测算法用于这种区分。
我们回顾性分析了1979年至1996年间在一家大型三级儿童专科医院因急性髋关节疼痛接受评估的儿童病例。根据关节液中的白细胞计数、关节液和血液培养结果以及临床病程,明确界定了真正的化脓性关节炎、疑似化脓性关节炎和暂时性滑膜炎的诊断。采用单因素分析和多因素逻辑回归分析对各组进行比较。构建并测试了一种基于独立多变量预测因素区分化脓性关节炎和暂时性滑膜炎的概率算法。
在红细胞沉降率、血清白细胞计数及分类、负重状态、发热史、体温、X线片上的积液证据、寒战史、近期抗生素使用史、血细胞比容和性别方面,患有化脓性关节炎的患者与患有暂时性滑膜炎的患者有显著差异(p < 0.05)。在近期抗生素使用史、寒战史、体温、红细胞沉降率、发热史、性别和血清白细胞分类方面,真正患有化脓性关节炎的患者与疑似化脓性关节炎的患者有显著差异(p < 0.05)。确定了四个独立的多变量临床预测因素以区分化脓性关节炎和暂时性滑膜炎:发热史、不负重、红细胞沉降率至少每小时40毫米以及血清白细胞计数超过每立方毫米12,000个细胞(12.0×10⁹个细胞/升)。针对这四个预测因素的所有16种组合确定了化脓性关节炎的预测概率,总结如下:零个预测因素时小于0.2%,一个预测因素时为3.0%,两个预测因素时为40.0%,三个预测因素时为93.1%,四个预测因素时为99.6%。趋势的卡方检验和受试者工作特征曲线下面积表明这组多变量预测因素在识别化脓性关节炎方面具有出色的诊断性能。
尽管患有化脓性关节炎的组和患有暂时性滑膜炎的组之间有几个变量存在显著差异,但中间范围内存在大量重叠,仅根据单个变量进行区分很困难。然而,通过组合变量,我们能够构建一组独立的多变量预测因素,它们共同在区分儿童髋关节化脓性关节炎和暂时性滑膜炎方面具有出色的诊断性能。