The role of inflammatory parameters (neutrophil‐to‐lymphocyte ratio, platelet‐to‐lymphocyte ratio, and monocyte‐to‐eosinophil ratio) in patients with Peyronie's disease. (12th September 2019)

• Record Type: Journal Article
• Authors: Özbir, S.; Değirmentepe, R. B.; Atalay, H. A.; Alkan, İ.; Çakır, S. S.; Ötünçtemur, A.; Canat, H. L.
• Is Part Of: Andrology. Volume 8:Number 2(2020)
• Page Start: 348
• Page End: 352
• Publication Date: 2019-09-12
• Subjects: neutrophil‐to‐lymphocyte ratio -- Peyronie's disease -- systemic inflammation; Andrology -- Periodicals; 616.65
• DOI: 10.1111/andr.12702
• Languages: English
• ISSNs: 2047-2919

Abstract

Abstract: Objectives: The aim of the study was to investigate the ability of the systemic inflammatory parameters to predict the discrimination of the phases of Peyronie's disease (PD). Materials and methods: Demographic, clinical, and laboratory data from 156 patients with PD were analyzed. A complete blood count (CBC) was obtained for every patient, and the neutrophil‐to‐lymphocyte ratio (NLR), platelet‐to‐lymphocyte ratio (PLR), and monocyte‐to‐eosinophil ratio (MER) were calculated for every men. Subsequently, patients were divided into two groups based upon the phase of the disease. Results: The mean age was 51.9 ± 9.6 in all study population. The mean duration between symptom onset and patient evaluation was 4.2 ± 3.2 months in acute phase group, while it was 32.7 ± 31.7 months in chronic phase group ( p < 0.001). There were no significant differences between the groups according to comorbidities such as diabetes, hypertension, lipid abnormalities, ischemic heart disease, smoking, and alcohol consumption. There was a statistically significant difference in NLR and PLR between two groups ( p = 0.008, p = 0.008, respectively). NLR and PLR were significantly correlated with discrimination status in univariate analysis ( p = 0.003, p = 0.005, respectively). Multivariate regression analysis revealed that NLR was the only independent risk factor for discrimination of the phases of PD ( p < 0.001). The ROC analysis revealed a cutoff value of 1.8 (AUC 0.712, p < 0.001; sensitivity 61.1%; specificity 75.0%) for the NLR. Conclusion: Our study demonstrated that NLR could be helpful to differentiate the chronic phase from the acute phase in patients with PD. Therefore, NLR could be used as an objective biomarker to the management of the disease and choosing the appropriate treatment.