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Journal of Inflammation Research Volume 16, 2023 - Issue
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ORIGINAL RESEARCH

Increased Systemic Immune-Inflammation Index Was Associated with Type 2 Diabetic Peripheral Neuropathy: A Cross-Sectional Study in the Chinese Population

Jia Li1 Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China;2 Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China;3 Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China;4 Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China;5 Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of ChinaView further author information
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Xing Zhang1 Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China;2 Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China;3 Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China;4 Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China;5 Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of ChinaView further author information
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Yi Zhang1 Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China;2 Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China;3 Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China;4 Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China;5 Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of ChinaView further author information
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Xiaofang Dan1 Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China;2 Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China;3 Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China;4 Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China;5 Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of ChinaView further author information
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Xian Wu1 Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China;2 Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China;3 Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China;4 Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China;5 Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of ChinaView further author information
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Yuxia Yang1 Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China;2 Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China;3 Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China;4 Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China;5 Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of ChinaView further author information
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Xiping Chen6 Clinical medical college, Southwest Medical University, Luzhou, People’s Republic of ChinaView further author information
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Shengxi Li7 Basic Medical College, Southwest Medical University, Luzhou, People’s Republic of ChinaView further author information
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Yong Xu1 Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China;2 Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China;3 Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China;4 Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China;5 Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of ChinaView further author information
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Qin Wan1 Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China;2 Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China;3 Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China;4 Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China;5 Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0001-7765-1416View further author information
ORCID Icon &
Pijun Yan1 Department of Endocrinology and Metabolism, the Affiliated Hospital of Southwest Medical University, Luzhou, People’s Republic of China;2 Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, People’s Republic of China;3 Sichuan Clinical Research Center for Nephropathy, Luzhou, People’s Republic of China;4 Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, People’s Republic of China;5 Sichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, China, Luzhou, People’s Republic of ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6692-2401View further author information
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Pages 6039-6053 | Received 04 Aug 2023, Accepted 08 Nov 2023, Published online: 10 Dec 2023

Figures & data

Table 1 Characteristics of Study Participants According to SII Quartiles

Table 2 The Relationships between SII and DPN-Related Risk Factors

Table 3 Univariate and Multivariate Logistic Analysis of Factors Associated with DPN

Table 4 Adjusted ORs and 95% CIs for DPN According to SII Quartiles

Table 5 Stratified Analyses of SII and Risk of Prevalence of DPN by Sex, Age, BMI, Duration of Diabetes, Hypertension, Dyslipidaemia, Poor Glycaemic Control, and eGFR

Figure 1 (A) ROC analysis of SII to indicate DPN for all subjects. AUC = 0.614; 95% CI: 0.584–0.641; P <0.05; identified SII cutoff value = 617.67; Youden index = 0.183; sensitivity: 45.3%; specificity: 73%. (B) ROC analysis of SII to indicate DPN for male subjects. AUC = 0.662; 95% CI: 0.621–0.703; P <0.05; identified SII cutoff value = 557.25; Youden index = 0.282; sensitivity: 55.8%; specificity: 72.4%. (C) ROC analysis of SII to indicate DPN for female subjects. AUC = 0.564; 95% CI: 0.522–0.606; P <0.05; identified SII cutoff value = 617.67; Youden index = 0.111; sensitivity: 41.6%; specificity: 69.5%.

Abbreviations: ROC, receiver operating characteristic; SII, systemic immune-inflammation index; DPN, diabetic peripheral neuropathy; AUC, area under the curve.
Figure 1 (A) ROC analysis of SII to indicate DPN for all subjects. AUC = 0.614; 95% CI: 0.584–0.641; P <0.05; identified SII cutoff value = 617.67; Youden index = 0.183; sensitivity: 45.3%; specificity: 73%. (B) ROC analysis of SII to indicate DPN for male subjects. AUC = 0.662; 95% CI: 0.621–0.703; P <0.05; identified SII cutoff value = 557.25; Youden index = 0.282; sensitivity: 55.8%; specificity: 72.4%. (C) ROC analysis of SII to indicate DPN for female subjects. AUC = 0.564; 95% CI: 0.522–0.606; P <0.05; identified SII cutoff value = 617.67; Youden index = 0.111; sensitivity: 41.6%; specificity: 69.5%.

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