The relationship between blood cell-related inflammatory markers and diabetic retinopathy: a study from Beichen Eye Study
10.3760/cma.j.cn511434-20230911-00383
- VernacularTitle:血细胞相关炎症指标与糖尿病视网膜病变的关系：北辰眼病研究
- Author:
Shuzhan XU
1
;
Fei GAO
;
Limei CHEN
;
Xiaoxia MIAO
;
Xiaorong LI
;
Juping LIU
Author Information
1. 天津医科大学眼科医院、眼视光学院、眼科研究所 国家眼耳鼻喉疾病临床医学研究中心天津市分中心 天津市视网膜功能与疾病重点实验室，天津 300384
- Keywords:
Diabetic retinopathy;
Platelet-to-lymphocyte ratio;
Neutrophil-to-lymphocyte ratio;
Mean platelet volume;
Platelet distribution width;
Risk factors
- From:
Chinese Journal of Ocular Fundus Diseases
2024;40(2):109-115
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To observe the correlation between blood cell-related inflammatory markers and diabetic retinopathy (DR).Methods:A cross-sectional study. From June 2020 to February 2022, the phase Ⅰ data of Beichen Eye Study in Tianjin Medical University Eye Hospital were included in the study. The research contents included questionnaires, routine systemic and ocular examinations, and laboratory blood cell-related indicators including mean platelet volume (MPV), platelet distribution width (PDW), neutrophils, and lymphocytes were performed. Neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR) were calculated. The diagnosis and classification of DR referred to the international clinical classification standard of DR. Monocular or binocular DR was defined as DR patients. Participants were categorized into different groups based on whether they had diabetes and whether they had DR. The groups included the no-diabetes group, the diabetes without DR group, and the DR group. The Kruskal-Wallis H test was used for the comparison of quantitative data among multiple groups. Wilcoxon test was used for comparison between the two groups. The χ2 test was used to compare the categorical variables between groups. The variables was adjusted step by step, an unadjusted univariate model was built and the different parameters of the model Ⅰ, Ⅱ, Ⅲ were adjusted. The correlation between MPV, PDW, NLR, PLR, and DR in different models was analyzed by logistic regression. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficacy of different NLR models for DR. Results:A total of 3 328 subjects were recruited. Among them, 1 121 (33.68 %, 1 121/3 328) were males and 2 207 (66.32 %, 2 207/3 328) were females. The median age of the included participants was 61.84 (6.05) years. The no-diabetes group, the diabetes without DR group, and the DR group were 2 679, 476, and 173, respectively. There was no significant difference in MPV and PLR among the three groups ( H=5.98, 1.94; P=0.051, 0.379). However, compared with no-diabetes group and the diabetes without DR group, PDW and NLR in the DR group showed an upward trend. In model Ⅲ with completely adjusted related factors, NLR was an independent risk factor for DR in no-diabetes group and DR group [odds ratio ( OR)=1.440, 95% confidence interval ( CI) 1.087-1.920, P=0.041], diabetes without DR group and DR group [ OR=1.990, 95% CI 1.440-2.749, P<0.001]. The results of ROC curve analysis showed that the diagnostic efficiency of NLR model Ⅲ was the highest, the area under the curve was 0.751 (95% CI 0.706-0.796, P<0.001), the optimal cutoff value was 0.390, and the sensitivity and specificity were 74.3% and 64.8%, respectively. Conclusions:The NLR of the DR group is significantly higher than that of the no-diabetes group and diabetes without DR group. NLR is an independent risk factor for DR.
