Evaluation of four clinical laboratory parameters for the diagnosis of myalgic encephalomyelitis
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Authors
De Meirleir, Kenny L.
Mijatovic, Tatjana
Subramanian, Krishnamurthy
Schlauch, Karen A.
Lombardi, Vincent C.
Issue Date
2018
Type
Article
Language
Keywords
ME/CFS , Diagnostic , IL-8 , PGE2 , sCD14 , CD57 , Chronic Fatigue
Alternative Title
Abstract
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(2)), and serum levels of interleukin 8, with coefficients 0.002, 0.249, and 0.005, respectively, and p-values of 3 x 10(-7), 1 x 10(-5), and 3 x 10(-3), 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.
Description
Citation
De Meirleir, K. L., Mijatovic, T., Subramanian, K., Schlauch, K. A., & Lombardi, V. C. (2018). Evaluation of four clinical laboratory parameters for the diagnosis of myalgic encephalomyelitis. Journal of Translational Medicine, 16(1). doi:10.1186/s12967-018-1696-z
Publisher
License
Creative Commons Attribution 4.0 International
Journal
Volume
Issue
PubMed ID
ISSN
1479-5876