Key result
A diagnostic algorithm utilizing serum levels of sCD14, PGE2, and IL-8 distinguished myalgic encephalomyelitis cases from healthy controls with approximately 90% specificity and sensitivity.
Why the study?
There are no objective biomarkers or laboratory tests to unequivocally diagnose myalgic encephalomyelitis, relying instead on subjective and costly criteria.
Do clinical laboratory parameters (sCD14, PGE2, IL-8) help diagnose myalgic encephalomyelitis compared to healthy controls?
Case-Control (n=280)
No
Do clinical laboratory parameters (sCD14, PGE2, IL-8) help diagnose myalgic encephalomyelitis compared to healthy controls?
p-value: p=3 × 10^-7, 1 × 10^-5, and 3 × 10^-3
Serum levels of sCD14, PGE2, and IL-8 may serve as objective biomarkers to aid in the diagnosis of myalgic encephalomyelitis.
May support biomarker-aided myalgic encephalomyelitis diagnosis; leaves open prospective validation before clinical adoption.
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. 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. 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 × 10 −7 , 1 × 10 −5 , and 3 × 10 −3 , respectively. 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.
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Meirleir et al. (2018) conducted a case-control in Myalgic encephalomyelitis (n=280). Serum levels of sCD14, PGE2, and IL-8 vs. Healthy controls was evaluated on Diagnosis of myalgic encephalomyelitis (p=3 × 10^-7, 1 × 10^-5, and 3 × 10^-3). A diagnostic algorithm utilizing serum levels of sCD14, PGE2, and IL-8 distinguished myalgic encephalomyelitis cases from healthy controls with approximately 90% specificity and sensitivity.
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