Association of systemic immune-inflammation index with diabetic kidney disease in patients with type 2 diabetes: a cross-sectional study in Chinese population

被引:1
|
作者
Yan, Pijun [1 ,2 ,3 ,4 ,5 ]
Yang, Yuxia [1 ,2 ,3 ,4 ,5 ]
Zhang, Xing [1 ,2 ,3 ,4 ,5 ]
Zhang, Yi [1 ,2 ,3 ,4 ,5 ]
Li, Jia [1 ,2 ,3 ,4 ,5 ]
Wu, Zujiao [6 ]
Dan, Xiaofang [1 ,2 ,3 ,4 ,5 ]
Wu, Xian [1 ,2 ,3 ,4 ,5 ]
Chen, Xiping [7 ]
Li, Shengxi [7 ]
Xu, Yong [1 ,2 ,3 ,4 ,5 ]
Wan, Qin [1 ,2 ,3 ,4 ,5 ]
机构
[1] Southwest Med Univ, Dept Endocrinol & Metab, Affiliated Hosp, Luzhou, Peoples R China
[2] Metab Vasc Dis Key Lab Sichuan Prov, Luzhou, Peoples R China
[3] Sichuan Clin Res Ctr Diabet & Metab, Luzhou, Peoples R China
[4] Sichuan Clin Res Ctr Nephropathy, Luzhou, Peoples R China
[5] Cardiovasc & Metab Dis Key Lab Luzhou, Luzhou, Peoples R China
[6] Chengdu Med Coll, Chengdu Peoples Hosp 8, Dept Clin Nutr, Geriatr Hosp, Chengdu, Peoples R China
[7] Southwest Med Univ, Clin Med Coll, Luzhou, Peoples R China
来源
关键词
systemic immune-inflammation index; diabetic kidney disease; distinct phenotypes; Chinese population; biomarker; PROGRESSION; RATIO;
D O I
10.3389/fendo.2023.1307692
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: Systemic immune-inflammation index (SII), a novel inflammatory marker, has been reported to be associated with diabetic kidney disease (DKD) in the U.S., however, such a close relationship with DKD in other countries, including China, has not been never determined. We aimed to explore the association between SII and DKD in Chinese population.Methods: A total of 1922 hospitalized patients with type 2 diabetes mellitus (T2DM) included in this cross-sectional study were divided into three groups based on estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (ACR): non-DKD group, DKD stages 1-2 Alb group, and DKD-non-Alb+DKD stage 3 Alb group. The possible association of SII with DKD was investigated by correlation and multivariate logistic regression analysis, and receiver-operating characteristic (ROC) curves analysis.Results: Moving from the non-DKD group to the DKD-non-Alb+DKD stage 3 Alb group, SII level was gradually increased (P for trend <0.01). Partial correlation analysis revealed that SII was positively associated with urinary ACR and prevalence of DKD, and negatively with eGFR (all P<0.01). Multivariate logistic regression analysis showed that SII remained independently significantly associated with the presence of DKD after adjustment for all confounding factors [(odds ratio (OR), 2.735; 95% confidence interval (CI), 1.840-4.063; P < 0.01)]. Moreover, compared with subjects in the lowest quartile of SII (Q1), the fully adjusted OR for presence of DKD was 1.060 (95% CI 0.773-1.455) in Q2, 1.167 (95% CI 0.995-1.368) in Q3, 1.266 (95% CI 1.129-1.420) in the highest quartile (Q4) (P for trend <0.01). Similar results were observed in presence of DKD stages 1-2 Alb or presence of DKD-non- Alb+DKD stage 3 Alb among SII quartiles. Last, the analysis of ROC curves revealed that the best cutoff values for SII to predict DKD, Alb DKD stages 1- 2, and DKD-non-Alb+ DKD stage 3 Alb were 609.85 (sensitivity: 48.3%; specificity: 72.8%), 601.71 (sensitivity: 43.9%; specificity: 72.3%), and 589.27 (sensitivity: 61.1%; specificity: 71.1%), respectively.Conclusion: Higher SII is independently associated with an increased risk of the presence and severity of DKD, and SII might be a promising biomarker for DKD and its distinct phenotypes in Chinese population.
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页数:15
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