Department GF Ingrassia, University of Catania, Via Santa Sofia 87, Catania 95123, Italy.
BMC Pediatr. 2013 Jan 31;13:15. doi: 10.1186/1471-2431-13-15.
To identify the predictive factors for malignancies using basic clinical and laboratory information in children presenting with musculoskeletal pain and eventually diagnosed with juvenile idiopathic arthritis (JIA) or malignancy.
A retrospective case-control chart review research examining laboratory data from patients referred for musculoskeletal pain in 2001-2010 and diagnosed with malignancy or JIA was performed. The validity of each test for the diagnosis of neoplasia was assessed by calculating the sensitivity, specificity, positive predictive values (PPV), negative predictive values (NPV) and likelihood ratios.
A total of 134 patients were enrolled. Statistically significant differences were found in neutrophil count, Hb, LDH, IgA and C4 values, ANA, anti-EA EBV IgG and anti-CMV IgG titres. High LDH value and anti-CMV IgG were the most predictive factors for neoplasia. High specificity factors for neoplasia were abnormal values of neutrophil count, Hb, IgA and C4, and the presence of anti-EA EBV and anti-CMV IgG. High PPV were recorded for abnormal neutrophil count, Hb value and anti-CMV titre. A low NPV was found only for anti-EA EBV and anti-CMV titres.
In this setting of patients, minimum changes in neutrophil count, particularly if associated with low Hb and high LDH levels, are to be thoroughly considered, because they appear as the most predictive factors for the diagnosis of tumour.
为了确定在出现肌肉骨骼疼痛并最终诊断为幼年特发性关节炎(JIA)或恶性肿瘤的儿童中,使用基本的临床和实验室信息预测恶性肿瘤的因素。
回顾性病例对照图表审查研究,检查了 2001 年至 2010 年间因肌肉骨骼疼痛就诊并被诊断为恶性肿瘤或 JIA 的患者的实验室数据。通过计算敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)和似然比来评估每种测试对肿瘤诊断的有效性。
共纳入 134 例患者。中性粒细胞计数、Hb、LDH、IgA 和 C4 值、ANA、抗-EA EBV IgG 和抗-CMV IgG 滴度存在统计学差异。高 LDH 值和抗-CMV IgG 是肿瘤的最具预测性因素。中性粒细胞计数、Hb、IgA 和 C4 值异常以及抗-EA EBV 和抗-CMV IgG 存在是肿瘤的高特异性因素。异常中性粒细胞计数、Hb 值和抗-CMV 滴度的阳性预测值较高。仅抗-EA EBV 和抗-CMV 滴度的阴性预测值较低。
在这种情况下,中性粒细胞计数的最小变化,特别是如果伴有低 Hb 和高 LDH 水平,应引起充分重视,因为它们是诊断肿瘤的最具预测性因素。