评价四种临床实验室参数用于肌痛性脑脊髓炎的诊断。
Evaluation of four clinical laboratory parameters for the diagnosis of myalgic encephalomyelitis.
机构信息
Himmunitas Foundation, de Tyraslaan 111, 1120, Brussels, Belgium.
R.E.D. Laboratories, Z.1 Research park 100, 1731, Zellik, Belgium.
出版信息
J Transl Med. 2018 Nov 21;16(1):322. doi: 10.1186/s12967-018-1696-z.
BACKGROUND
Myalgic encephalomyelitis (ME) is a complex and debilitating disease that often initially presents with flu-like symptoms, accompanied by incapacitating fatigue. Currently, there are no objective biomarkers or laboratory tests that can be used to unequivocally diagnosis ME; therefore, a diagnosis is made when a patient meets series of a costly and subjective inclusion and exclusion criteria. The purpose of the present study was to evaluate the utility of four clinical parameters in diagnosing ME.
METHODS
In the present study, we utilized logistic regression and classification and regression tree analysis to conduct a retrospective investigation of four clinical laboratory in 140 ME cases and 140 healthy controls.
RESULTS
Correlations between the covariates ranged between [- 0.26, 0.61]. The best model included the serum levels of the soluble form of CD14 (sCD14), serum levels of prostaglandin E2 (PGE), and serum levels of interleukin 8, with coefficients 0.002, 0.249, and 0.005, respectively, and p-values of 3 × 10, 1 × 10, and 3 × 10, respectively.
CONCLUSIONS
Our findings show that these parameters may help physicians in their diagnosis of ME and may additionally shed light on the pathophysiology of this disease.
背景
肌痛性脑脊髓炎（ME）是一种复杂且使人虚弱的疾病，通常最初表现为流感样症状，并伴有使人丧失能力的疲劳。目前，没有客观的生物标志物或实验室测试可以用于明确诊断 ME；因此，当患者满足一系列昂贵且主观的纳入和排除标准时，即可做出诊断。本研究的目的是评估四个临床参数在诊断 ME 中的效用。
方法
在本研究中，我们利用逻辑回归和分类回归树分析，对 140 例 ME 病例和 140 例健康对照者的四项临床实验室进行回顾性调查。
结果
协变量之间的相关性在[-0.26,0.61]之间。最佳模型包括可溶性 CD14（sCD14）血清水平、前列腺素 E2（PGE）血清水平和白细胞介素 8 血清水平，系数分别为 0.002、0.249 和 0.005，p 值分别为 3×10、1×10 和 3×10。
结论
我们的研究结果表明，这些参数可能有助于医生诊断 ME，并可能进一步揭示这种疾病的病理生理学。
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