Association Between Systemic Immune-Inflammation Index and Diabetic Depression

• Published in: Clinical interventions in aging Vol. 16; pp. 97 - 105
• Main Authors: Wang, Jie, Zhou, Depu, Dai, Zhijuan, Li, Xiaokun
• Format: Journal Article
• Language: English
• Published: New Zealand Dove Medical Press Limited 01.01.2021; Taylor & Francis Ltd; Dove; Dove Medical Press
• Subjects: Age; Biomarkers; Blood platelets; Body mass index; Cardiovascular disease; Chronic illnesses; Complications and side effects; Cross-Sectional Studies; Cytokines; Depression - diagnosis; Depression - etiology; Depression - immunology; Depression, Mental; depressive symptoms; Development and progression; Diabetes; diabetes mellitus; Diabetes Mellitus, Type 2 - complications; Diabetes Mellitus, Type 2 - immunology; Diabetic retinopathy; Female; Health aspects; Heart failure; Humans; Immune response; Inflammation; Inflammation - diagnosis; Inflammation - etiology; Insulin; Lymphocyte Count; Lymphocytes; Male; Mental depression; Neutrophils; Neutrophils - immunology; nhanes; Nutrition research; Nutrition Surveys; Original Research; Physiological aspects; Platelet Count; Prognosis; Regression analysis; Retrospective Studies; Risk Factors; Stroke; systemic immune-inflammation index; Variables; China; systemic immune-inflammation index; NHANES; diabetes mellitus; depressive symptoms
• ISSN: 1178-1998; 1176-9092; 1178-1998
• DOI: 10.2147/CIA.S285000

Depression is highly prevalent in patients with diabetes mellitus (DM). Diabetic depression has been shown to be associated with low-grade systemic inflammation. In recent years, the systemic immune-inflammation (SII) index has been developed as an integrated and novel inflammatory indicator. The aims of this study were to investigate the relationship between diabetic depression and SII levels, adjusting for a wide range of potential confounding factors, to examine the potential of SII in predicting diabetic depression. The present cross-sectional study was conducted among adults with DM in the National Health and Nutrition Examination Survey between 2009 and 2016, the SII level was calculated as the platelet counts × neutrophil counts/lymphocyte counts. Patient Health Questionnaire-9 was used to measure depression in patients with DM. Multivariable logistic regression and propensity score-matched analysis were used to analyze the association between SII levels and depression. A total of 2566 patients with DM were included in the study, of which 370 (13.3%) were diagnosed with depression. Multivariable logistic regression showed that high SII level was an independent risk factor for diabetic depression (OR = 1.347, 95% CI: 1.031-1.760, = 0.02882) after adjusting for covariates. The relationship between SII and diabetic depression was further verified by propensity score-matched analysis. Our data suggest that SII is a risk factor for depression in patients with DM. The SII may be an easily accessible and cost-effective strategy for identifying depression in patients with DM. More studies are warranted to further analyze the role of SII in depression in diabetic patients.