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Tracking post-infectious fatigue in clinic using routine Lab tests
BACKGROUND: While biomarkers for chronic fatigue syndrome (CFS) are beginning to emerge they typically require a highly specialized clinical laboratory. We hypothesized that subsets of commonly measured laboratory markers used in combination could support the diagnosis of post-infectious CFS (PI-CFS...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847210/ https://www.ncbi.nlm.nih.gov/pubmed/27118537 http://dx.doi.org/10.1186/s12887-016-0596-8 |
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author | Harvey, Jeanna M. Broderick, Gordon Bowie, Alanna Barnes, Zachary M. Katz, Ben Z. O’Gorman, Maurice R. G. Vernon, Suzanne D. Fletcher, Mary Ann Klimas, Nancy G. Taylor, Renee |
author_facet | Harvey, Jeanna M. Broderick, Gordon Bowie, Alanna Barnes, Zachary M. Katz, Ben Z. O’Gorman, Maurice R. G. Vernon, Suzanne D. Fletcher, Mary Ann Klimas, Nancy G. Taylor, Renee |
author_sort | Harvey, Jeanna M. |
collection | PubMed |
description | BACKGROUND: While biomarkers for chronic fatigue syndrome (CFS) are beginning to emerge they typically require a highly specialized clinical laboratory. We hypothesized that subsets of commonly measured laboratory markers used in combination could support the diagnosis of post-infectious CFS (PI-CFS) in adolescents following infectious mononucleosis (IM) and help determine who might develop persistence of symptoms. METHODS: Routine clinical laboratory markers were collected prospectively in 301 mono-spot positive adolescents, 4 % of whom developed CFS (n = 13). At 6, 12, and 24 months post-diagnosis with IM, 59 standard tests were performed including metabolic profiling, liver enzyme panel, hormone profiles, complete blood count (CBC), differential white blood count (WBC), salivary cortisol, and urinalysis. Classification models separating PI-CFS from controls were constructed at each time point using stepwise subset selection. RESULTS: Lower ACTH levels at 6 months post-IM diagnosis were highly predictive of CFS (AUC p = 0.02). ACTH levels in CFS overlapped with healthy controls at 12 months, but again showed a trend towards a deficiency at 24 months. Conversely, estradiol levels depart significantly from normal at 12 months only to recover at 24 months (AUC p = 0.02). Finally, relative neutrophil count showed a significant departure from normal at 24 months in CFS (AUC p = 0.01). Expression of these markers evolved differently over time between groups. CONCLUSIONS: Preliminary results suggest that serial assessment of stress and sex hormones as well as the relative proportion of innate immune cells measured using standard clinical laboratory tests may support the diagnosis of PI-CFS in adolescents with IM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12887-016-0596-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4847210 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48472102016-04-28 Tracking post-infectious fatigue in clinic using routine Lab tests Harvey, Jeanna M. Broderick, Gordon Bowie, Alanna Barnes, Zachary M. Katz, Ben Z. O’Gorman, Maurice R. G. Vernon, Suzanne D. Fletcher, Mary Ann Klimas, Nancy G. Taylor, Renee BMC Pediatr Research Article BACKGROUND: While biomarkers for chronic fatigue syndrome (CFS) are beginning to emerge they typically require a highly specialized clinical laboratory. We hypothesized that subsets of commonly measured laboratory markers used in combination could support the diagnosis of post-infectious CFS (PI-CFS) in adolescents following infectious mononucleosis (IM) and help determine who might develop persistence of symptoms. METHODS: Routine clinical laboratory markers were collected prospectively in 301 mono-spot positive adolescents, 4 % of whom developed CFS (n = 13). At 6, 12, and 24 months post-diagnosis with IM, 59 standard tests were performed including metabolic profiling, liver enzyme panel, hormone profiles, complete blood count (CBC), differential white blood count (WBC), salivary cortisol, and urinalysis. Classification models separating PI-CFS from controls were constructed at each time point using stepwise subset selection. RESULTS: Lower ACTH levels at 6 months post-IM diagnosis were highly predictive of CFS (AUC p = 0.02). ACTH levels in CFS overlapped with healthy controls at 12 months, but again showed a trend towards a deficiency at 24 months. Conversely, estradiol levels depart significantly from normal at 12 months only to recover at 24 months (AUC p = 0.02). Finally, relative neutrophil count showed a significant departure from normal at 24 months in CFS (AUC p = 0.01). Expression of these markers evolved differently over time between groups. CONCLUSIONS: Preliminary results suggest that serial assessment of stress and sex hormones as well as the relative proportion of innate immune cells measured using standard clinical laboratory tests may support the diagnosis of PI-CFS in adolescents with IM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12887-016-0596-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-26 /pmc/articles/PMC4847210/ /pubmed/27118537 http://dx.doi.org/10.1186/s12887-016-0596-8 Text en © Harvey et al. 2016 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 Article Harvey, Jeanna M. Broderick, Gordon Bowie, Alanna Barnes, Zachary M. Katz, Ben Z. O’Gorman, Maurice R. G. Vernon, Suzanne D. Fletcher, Mary Ann Klimas, Nancy G. Taylor, Renee Tracking post-infectious fatigue in clinic using routine Lab tests |
title | Tracking post-infectious fatigue in clinic using routine Lab tests |
title_full | Tracking post-infectious fatigue in clinic using routine Lab tests |
title_fullStr | Tracking post-infectious fatigue in clinic using routine Lab tests |
title_full_unstemmed | Tracking post-infectious fatigue in clinic using routine Lab tests |
title_short | Tracking post-infectious fatigue in clinic using routine Lab tests |
title_sort | tracking post-infectious fatigue in clinic using routine lab tests |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847210/ https://www.ncbi.nlm.nih.gov/pubmed/27118537 http://dx.doi.org/10.1186/s12887-016-0596-8 |
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