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Evaluation of four clinical laboratory parameters for the diagnosis of myalgic encephalomyelitis
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249861/ https://www.ncbi.nlm.nih.gov/pubmed/30463572 http://dx.doi.org/10.1186/s12967-018-1696-z |
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author | De Meirleir, Kenny L. Mijatovic, Tatjana Subramanian, Krishnamurthy Schlauch, Karen A. Lombardi, Vincent C. |
author_facet | De Meirleir, Kenny L. Mijatovic, Tatjana Subramanian, Krishnamurthy Schlauch, Karen A. Lombardi, Vincent C. |
author_sort | De Meirleir, Kenny L. |
collection | PubMed |
description | 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(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. 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-018-1696-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6249861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62498612018-11-26 Evaluation of four clinical laboratory parameters for the diagnosis of myalgic encephalomyelitis De Meirleir, Kenny L. Mijatovic, Tatjana Subramanian, Krishnamurthy Schlauch, Karen A. Lombardi, Vincent C. J Transl Med Research 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(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. 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-018-1696-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-21 /pmc/articles/PMC6249861/ /pubmed/30463572 http://dx.doi.org/10.1186/s12967-018-1696-z Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research De Meirleir, Kenny L. Mijatovic, Tatjana Subramanian, Krishnamurthy Schlauch, Karen A. Lombardi, Vincent C. Evaluation of four clinical laboratory parameters for the diagnosis of myalgic encephalomyelitis |
title | Evaluation of four clinical laboratory parameters for the diagnosis of myalgic encephalomyelitis |
title_full | Evaluation of four clinical laboratory parameters for the diagnosis of myalgic encephalomyelitis |
title_fullStr | Evaluation of four clinical laboratory parameters for the diagnosis of myalgic encephalomyelitis |
title_full_unstemmed | Evaluation of four clinical laboratory parameters for the diagnosis of myalgic encephalomyelitis |
title_short | Evaluation of four clinical laboratory parameters for the diagnosis of myalgic encephalomyelitis |
title_sort | evaluation of four clinical laboratory parameters for the diagnosis of myalgic encephalomyelitis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249861/ https://www.ncbi.nlm.nih.gov/pubmed/30463572 http://dx.doi.org/10.1186/s12967-018-1696-z |
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