Eosinophil-to-Lymphocyte Ratio and Eosinophil Count as New Predictive Markers for Osteoarthritis

Autor: Di J, Song L, Liu Y, Zhang Z, Wu Y, Chen T, Xiang C
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Pain Research, Vol Volume 17, Pp 3803-3815 (2024)
Druh dokumentu: article
ISSN: 1178-7090
Popis: Jingkai Di,1,2,* Liying Song,2,3,* Yaru Liu,2,4,* Zhibo Zhang,1,2 Yawen Wu,2 Tingting Chen,2,5 Chuan Xiang1 1The Second Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China; 2Shanxi Medical University, Taiyuan, People’s Republic of China; 3The First Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China; 4The Third Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China; 5The Fifth Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China*These authors contributed equally to this workCorrespondence: Chuan Xiang, The Second Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China, Tel +86 15903410351, Email chuanxiang@sxmu.edu.cnPurpose: Despite the association between peripheral blood inflammatory biomarkers and a range of inflammatory diseases, the role of these biomarkers in osteoarthritis (OA) progression remains unclear. Additionally, whether alterations in these inflammatory markers impact the prognosis of OA patients remains an understudied area. The aim of our study was to investigate the specific associations between peripheral blood inflammatory markers and OA progression and OA-related mortality.Methods: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) database from 1999 through 2018. The primary outcomes were all-cause mortality, cardiac mortality, and renal disease mortality, with information on the corresponding mortality rates for each participant obtained through association with the National Death Index (NDI). Multivariate logistic regression models were used to examine the relationship between peripheral blood lymphocyte counts and OA, and restricted cubic spline (RCS) analysis was utilized to assess whether there was a nonlinear relationship with OA and mortality of OA patients. Interaction and stratified analyses were employed to explore the association between peripheral blood leukocyte counts and OA.Results: This study included 1077 OA patients and 21,612 non-OA participants. In model 3 fully adjusted for covariates, eosinophil-to-lymphocyte ratio (ELR) and eosinophil (EOS) were positive risk factors promoting the development of OA (OR = 3.26, 95% CI: 1.49– 7.14; OR = 1.79, 95% CI: 1.12– 2.88). In stratified models for age, sex, BMI, smoking status, and alcohol consumption, the associations of ELR and EOS with OA were significantly different. RCS curves showed a J-shaped relationship between ELR and EOS and all-cause mortality in patients with OA. ELR was also found to significantly up-regulate cardiac mortality and renal mortality in patients with OA (OR = 3.92, 95% CI: 1.68– 9.14; OR = 22.55, 95% CI: 6.55– 77.70), while EOS was only significantly positively correlation (OR = 3.68, 95% CI: 1.94– 7.01).Conclusion: A significant relationship was found between ELR, EOS and OA. In addition, ELR and EOS were identified as potential predictors of mortality from different causes in patients with OA.Keywords: eosinophil to lymphocyte ratio, osteoarthritis, eosinophil, all-cause mortality
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