已发表论文

嗜酸性粒细胞与淋巴细胞比值和嗜酸性粒细胞计数作为骨关节炎的新预测标志物

 

Authors Di J, Song L, Liu Y , Zhang Z, Wu Y, Chen T , Xiang C

Received 24 July 2024

Accepted for publication 13 November 2024

Published 16 November 2024 Volume 2024:17 Pages 3803—3815

DOI https://doi.org/10.2147/JPR.S480925

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Alaa Abd-Elsayed


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 work

Correspondence: Chuan Xiang, The Second Hospital of Shanxi Medical University, Taiyuan, People’s Republic of China, Tel +86 15903410351, Email chuanxiang@sxmu.edu.cn

Purpose: 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