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Correlation of systemic immune-inflammation index and moderate/major depression in patients with depressive
Shu Cui1, Juanjuan Li1, Yun Liu1
1Department of Psychiatry, Third People's Hospital of Fuyang, Fuyang, Anhui, China.
Insights
The systemic immune-inflammation index (SII) can help identify moderate to major depression in patients. Higher SII scores indicate a significantly increased likelihood of moderate/severe depression.
Area of Science:
- Clinical Medicine
- Psychiatry
- Immunology
Background:
- Depressive disorder is a significant global health concern.
- Identifying subtypes and severity of depression is crucial for effective treatment.
- Biomarkers for depression assessment are actively being researched.
Purpose of the Study:
- To evaluate the clinical utility of the systemic immune-inflammation index (SII) in assessing depression severity.
- To determine if SII can differentiate between depression subtypes.
- To explore SII as a potential diagnostic marker for moderate to major depression.
Main Methods:
- A retrospective cohort study analyzed data from 2020-2022.
- Patients were categorized into low and high SII groups based on ROC curve analysis.
- Binary logistic regression was employed to assess the association between SII and depression severity.
Main Results:
- High SII group showed higher age, more smokers, and more moderate/major depression.
- SII was significantly associated with moderate/major depression (OR=3.614, p<0.001).
- A cut-off SII value of 540.78 was identified for moderate/major depression.
Conclusions:
- The systemic immune-inflammation index (SII) shows potential as a biomarker for moderate/major depression.
- SII is a repeatable, convenient, and affordable index for identifying depression severity.
- Further research can validate SII's role in clinical depression assessment.
Objective:
To evaluate the clinical value of systemic immune-inflammation index (SII) based on peripheral blood neutrophil, lymphocyte, and platelet count in evaluating the subtype and severity of depression in patients with depressive disorder.
Methods:
This retrospective cohort study was conducted in the Third People's Hospital of Fuyang City from January 1, 2020 to December 31, 2022. The data included sociodemographic information at admission, clinical data, discharge diagnosis and inflammatory markers. Patients were divided into low SII group and high SII group according to the optimal threshold of SII determined by receiver operating characteristic curve (ROC curve). Binary logistic regression was used to analyze the correlation between moderate/major depression and SII level.
Results:
Compared to the low SII group, the high SII group had a higher age level (χ2 = 7.663, p = 0.006), more smokers (χ2 = 9.458, p = 0.002), more moderate/major depression patients (χ2 = 45.645, p < 0.001), and a higher proportion of patients with accompanying somatic symptoms (χ2 = 14.867, p < 0.001). In the final logistic regression model, after controlling for confounding factors, SII at admission was significantly associated with moderate/major depression [β =1.285, p < 0.001; odds ratio (95% confidence intervals) = 3.614 (2.693-4.850)]. Patients with high SII scores were 3.614 times more likely to have moderate/severe depression than those with low SII scores. We propose a cut-off value of SII =540.78 (sensitivity = 36.4% and specificity = 80.3%) according to the maximum Youden index.
Conclusion:
Our research indicates that SII may be a useful, repeatable, convenient, and affordable index to identify moderate/major depression in depressive disorder.
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