Barash Judith, Mashiach Eran, Navon-Elkan Pnina, Berkun Yackov, Harel Liora, Tauber Tsivia, Padeh Shai, Hashkes Philip J, Uziel Yosef
Pediatric Day Care and Pediatric Rheumatology Service, Kaplan Medical Center, Rehovot, Hebrew University, Jerusalem, Israel.
J Pediatr. 2008 Nov;153(5):696-9. doi: 10.1016/j.jpeds.2008.05.044. Epub 2008 Jul 26.
To perform a retrospective study comparing clinical and laboratory aspects of patients with acute rheumatic fever (ARF) and patients with post-streptococcal reactive arthritis (PSRA), to discern whether these are 2 separate entities or varying clinical manifestations of the same disease.
We located the records of 68 patients with ARF and 159 patients with PSRA, whose diseases were diagnosed with standardized criteria and treated by 8 pediatric rheumatologists in 7 medical centers, using the Israeli internet-based pediatric rheumatology registry. The medical records of these patients were reviewed for demographic, clinical, and laboratory variables, and the data were compared and analyzed with univariate, multivariate, and discriminatory analysis.
Four variables were found to differ significantly between ARF and PSRA and serve also as predictors: sedimentation rate, C-reactive protein, duration of joint symptoms after starting anti-inflammatory treatment, and relapse of joint symptoms after cessation of treatment. A discriminative equation was derived that enabled us to correctly classify >80% of the patients.
On the basis of simple clinical and laboratory variables, we were able to differentiate ARF from PSRA and correctly classify >80% of the patients. It appears that ARF and PSRA are distinct entities.
进行一项回顾性研究,比较急性风湿热(ARF)患者和链球菌感染后反应性关节炎(PSRA)患者的临床和实验室特征,以确定这两者是两种不同的疾病实体还是同一疾病的不同临床表现。
我们利用以色列基于互联网的儿科风湿病登记系统,查找了68例ARF患者和159例PSRA患者的记录,这些患者的疾病均根据标准化标准进行诊断,并由7个医疗中心的8名儿科风湿病专家进行治疗。对这些患者的病历进行了人口统计学、临床和实验室变量的审查,并采用单变量、多变量和判别分析对数据进行比较和分析。
发现ARF和PSRA之间有4个变量存在显著差异,且这些变量也可作为预测指标:血沉、C反应蛋白、开始抗炎治疗后关节症状的持续时间以及治疗停止后关节症状的复发情况。由此得出一个判别方程,使我们能够正确分类超过80%的患者。
基于简单的临床和实验室变量,我们能够将ARF与PSRA区分开来,并正确分类超过80%的患者。看来ARF和PSRA是不同的疾病实体。