Association of systemic immune-inflammation index with diabetic kidney disease in patients with type 2 diabetes: a cross-sectional study in Chinese population
ObjectiveSystemic 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 a...
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Frontiers Media S.A.
2024-01-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2023.1307692/full |
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author | Pijun Yan Pijun Yan Pijun Yan Pijun Yan Pijun Yan Yuxia Yang Yuxia Yang Yuxia Yang Yuxia Yang Yuxia Yang Xing Zhang Xing Zhang Xing Zhang Xing Zhang Xing Zhang Yi Zhang Yi Zhang Yi Zhang Yi Zhang Yi Zhang Jia Li Jia Li Jia Li Jia Li Jia Li Zujiao Wu Xiaofang Dan Xiaofang Dan Xiaofang Dan Xiaofang Dan Xiaofang Dan Xian Wu Xian Wu Xian Wu Xian Wu Xian Wu Xiping Chen Shengxi Li Yong Xu Yong Xu Yong Xu Yong Xu Yong Xu Qin Wan Qin Wan Qin Wan Qin Wan Qin Wan |
author_facet | Pijun Yan Pijun Yan Pijun Yan Pijun Yan Pijun Yan Yuxia Yang Yuxia Yang Yuxia Yang Yuxia Yang Yuxia Yang Xing Zhang Xing Zhang Xing Zhang Xing Zhang Xing Zhang Yi Zhang Yi Zhang Yi Zhang Yi Zhang Yi Zhang Jia Li Jia Li Jia Li Jia Li Jia Li Zujiao Wu Xiaofang Dan Xiaofang Dan Xiaofang Dan Xiaofang Dan Xiaofang Dan Xian Wu Xian Wu Xian Wu Xian Wu Xian Wu Xiping Chen Shengxi Li Yong Xu Yong Xu Yong Xu Yong Xu Yong Xu Qin Wan Qin Wan Qin Wan Qin Wan Qin Wan |
author_sort | Pijun Yan |
collection | DOAJ |
description | ObjectiveSystemic 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.MethodsA 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.ResultsMoving 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.ConclusionHigher 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. |
first_indexed | 2024-03-08T16:58:52Z |
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institution | Directory Open Access Journal |
issn | 1664-2392 |
language | English |
last_indexed | 2024-03-08T16:58:52Z |
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spelling | doaj.art-6c4ea65db9284adaa18413d9d1ae6d5b2024-01-04T16:29:34ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922024-01-011410.3389/fendo.2023.13076921307692Association of systemic immune-inflammation index with diabetic kidney disease in patients with type 2 diabetes: a cross-sectional study in Chinese populationPijun Yan0Pijun Yan1Pijun Yan2Pijun Yan3Pijun Yan4Yuxia Yang5Yuxia Yang6Yuxia Yang7Yuxia Yang8Yuxia Yang9Xing Zhang10Xing Zhang11Xing Zhang12Xing Zhang13Xing Zhang14Yi Zhang15Yi Zhang16Yi Zhang17Yi Zhang18Yi Zhang19Jia Li20Jia Li21Jia Li22Jia Li23Jia Li24Zujiao Wu25Xiaofang Dan26Xiaofang Dan27Xiaofang Dan28Xiaofang Dan29Xiaofang Dan30Xian Wu31Xian Wu32Xian Wu33Xian Wu34Xian Wu35Xiping Chen36Shengxi Li37Yong Xu38Yong Xu39Yong Xu40Yong Xu41Yong Xu42Qin Wan43Qin Wan44Qin Wan45Qin Wan46Qin Wan47Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, ChinaMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, ChinaSichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, ChinaSichuan Clinical Research Center for Nephropathy, Luzhou, ChinaCardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, ChinaDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, ChinaMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, ChinaSichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, ChinaSichuan Clinical Research Center for Nephropathy, Luzhou, ChinaCardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, ChinaDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, ChinaMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, ChinaSichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, ChinaSichuan Clinical Research Center for Nephropathy, Luzhou, ChinaCardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, ChinaDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, ChinaMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, ChinaSichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, ChinaSichuan Clinical Research Center for Nephropathy, Luzhou, ChinaCardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, ChinaDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, ChinaMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, ChinaSichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, ChinaSichuan Clinical Research Center for Nephropathy, Luzhou, ChinaCardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, ChinaDepartment of Clinical Nutrition, Chengdu Eighth People’s Hospital (Geriatric Hospital of Chengdu Medical College), Chengdu, ChinaDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, ChinaMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, ChinaSichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, ChinaSichuan Clinical Research Center for Nephropathy, Luzhou, ChinaCardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, ChinaDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, ChinaMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, ChinaSichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, ChinaSichuan Clinical Research Center for Nephropathy, Luzhou, ChinaCardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, ChinaClinical Medical College, Southwest Medical University, Luzhou, ChinaClinical Medical College, Southwest Medical University, Luzhou, ChinaDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, ChinaMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, ChinaSichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, ChinaSichuan Clinical Research Center for Nephropathy, Luzhou, ChinaCardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, ChinaDepartment of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, ChinaMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, ChinaSichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, ChinaSichuan Clinical Research Center for Nephropathy, Luzhou, ChinaCardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, ChinaObjectiveSystemic 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.MethodsA 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.ResultsMoving 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.ConclusionHigher 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.https://www.frontiersin.org/articles/10.3389/fendo.2023.1307692/fullsystemic immune-inflammation indexdiabetic kidney diseasedistinct phenotypesChinese populationbiomarker |
spellingShingle | Pijun Yan Pijun Yan Pijun Yan Pijun Yan Pijun Yan Yuxia Yang Yuxia Yang Yuxia Yang Yuxia Yang Yuxia Yang Xing Zhang Xing Zhang Xing Zhang Xing Zhang Xing Zhang Yi Zhang Yi Zhang Yi Zhang Yi Zhang Yi Zhang Jia Li Jia Li Jia Li Jia Li Jia Li Zujiao Wu Xiaofang Dan Xiaofang Dan Xiaofang Dan Xiaofang Dan Xiaofang Dan Xian Wu Xian Wu Xian Wu Xian Wu Xian Wu Xiping Chen Shengxi Li Yong Xu Yong Xu Yong Xu Yong Xu Yong Xu Qin Wan Qin Wan Qin Wan Qin Wan Qin Wan Association of systemic immune-inflammation index with diabetic kidney disease in patients with type 2 diabetes: a cross-sectional study in Chinese population Frontiers in Endocrinology systemic immune-inflammation index diabetic kidney disease distinct phenotypes Chinese population biomarker |
title | Association of systemic immune-inflammation index with diabetic kidney disease in patients with type 2 diabetes: a cross-sectional study in Chinese population |
title_full | Association of systemic immune-inflammation index with diabetic kidney disease in patients with type 2 diabetes: a cross-sectional study in Chinese population |
title_fullStr | Association of systemic immune-inflammation index with diabetic kidney disease in patients with type 2 diabetes: a cross-sectional study in Chinese population |
title_full_unstemmed | Association of systemic immune-inflammation index with diabetic kidney disease in patients with type 2 diabetes: a cross-sectional study in Chinese population |
title_short | Association of systemic immune-inflammation index with diabetic kidney disease in patients with type 2 diabetes: a cross-sectional study in Chinese population |
title_sort | association of systemic immune inflammation index with diabetic kidney disease in patients with type 2 diabetes a cross sectional study in chinese population |
topic | systemic immune-inflammation index diabetic kidney disease distinct phenotypes Chinese population biomarker |
url | https://www.frontiersin.org/articles/10.3389/fendo.2023.1307692/full |
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