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Title: Evaluation of Eosinophil-to-Lymphocyte Ratio and Eosinophil Count as Predictive Markers in Fibromyalgia Syndrome
Authors: Buyukavci Raikan, Kaya Caglar Ilhan, Yilmaz Ramazan
Journal: Pakistan Journal of Medical & Cardiological Review (PJMS)
| Category | From | To |
|---|---|---|
| Y | 2024-10-01 | 2025-12-31 |
Publisher: Intellect Educational Research Explorers
Country: Pakistan
Year: 2025
Volume: 41
Issue: 7
Language: en
Keywords: InflammationHemogramFibromyalgia Syndromeeosinophil-to-lymphocyte ratio
Objective: This study aimed to investigate the predictive role of eosinophil-to-lymphocyte ratio (ELR), and eosinophil count (EC) in patients with Fibromyalgia syndrome (FMS) and to compare with healthy controls.
Method: This retrospective observational study was conducted from January 1st to December 31st, 2024 in Konya Beyhekim Training and Research Hospital. 109 FMS (101 female/8 male) patients who met the 2016 American College of Rheumatology (ACR) classification criteria and 85 (75 female/10 male) healthy controls were included in the study. Demographic characteristics, neutrophil, lymphocyte, and eosinophil counts (EC) levels were recorded. ELR, neutrophil-lymphocyte ratio (NLR) calculated.
Results: In patients with FMS, the blood ELR, NLR, and EC were significantly higher compared to the control group (p<0.05). In the roc curve analysis, blood NLR had 62.4% sensitivity and 50% specificity; blood ELR and EC ≥had 60.6% sensitivity but < 40 % specificity in predicting fibromyalgia.
Conclusion: The results of this study showed that ELR and EC are promising inflammatory markers in the diagnosis of fibromyalgia and should be evaluated in a larger population along with other hemogram parameters.
doi: https://doi.org/10.12669/pjms.41.7.12064
How to cite this: Raikan B, Ilhan KC, Ramazan Y. Evaluation of Eosinophil-to-Lymphocyte Ratio and Eosinophil Count as Predictive Markers in Fibromyalgia Syndrome. Pak J Med Sci. 2025;41(7):2087-2091. doi: https://doi.org/10.12669/pjms.41.7.12064
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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