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Systemic immune inflammation index is a valuable marker for predicting hemodialysis patients with depression: a cross-sectional study.

Authors :
Xi-xi Han
Hui-ying Zhang
Jing-wen Kong
Yu-xin Liu
Ke-ren Zhang
Wen-ying Ren
Source :
Frontiers in Psychiatry; 2024, p1-7, 7p
Publication Year :
2024

Abstract

Objective: Maintenance hemodialysis (MHD) patients suffer from enormous physical, mental stress and poor quality of life, so an increasing number of patients are in a long-term state of depression. A prominent feature of MHD patients is chronic persistent inflammation, which is also an important mechanism for the onset of depression. Therefore, finding economically convenient inflammatory markers to predict and diagnose the onset of depression in MHD patients is of great value. As a novel inflammatory marker, systemic immune inflammation index (SII) can more comprehensively reflect the inflammation and immunity level of patients. This study aims to explore the relationship between SII and depressive symptoms in MHD patients. Methods: A cross-sectional studywas conducted on 206MHD patients fromthree dialysis centers. Based on the Hospital Anxiety and Depression Scale (HADS) scores, patients were divided into non-depression and depression groups. Inter group comparison and multivariate logistic regression analysis were performed to determinewhether SII is an independent risk factor for depression inMHD patients. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of SII on depression symptoms in MHD patients. Results: According to the HADS scale score, 38.83% of the included patients were in a state of depression. After adjusting for all confounding factors, MHD patients with SII>963.93 had a 4.709 times higher risk of depression than those with SII = 478.32 (OR=4.709, 95% CI 1.821-12.178, P<0.01). ROC analysis showed that SII>685.11 was the best cutoff value for MHD depression patients, and the area under the curve (AUC) was 0.681. Conclusions: High SII is an independent risk factor for depressed MHD patients and an ideal inflammatory marker for predicting and identifying depression in MHD patients as assessed by the HADS scale. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16640640
Database :
Complementary Index
Journal :
Frontiers in Psychiatry
Publication Type :
Academic Journal
Accession number :
179098805
Full Text :
https://doi.org/10.3389/fpsyt.2024.1423200