Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: To investigate the clinical significance of preoperative inflammatory status in patients with pancreatic head carcinoma (PHC), we performed a single-center study to assess it.

Method: We studied a total of 164 patients with PHC undergoing PD surgery (with or without allogeneic venous replacement) from January 2018 to April 2022. Systemic immune-inflammation index (SII) was the most important peripheral immune index in predicting the prognosis according to XGBoost analysis. The optimal cutoff value of SII for OS was calculated according to Youden index based on the receiver operating characteristic (ROC) curve and the cohort was divided into Low SII group and High SII group. Demographic, clinical data, laboratory data, follow-up data variables were obtained and compared between the two groups. Kaplan-Meier curves, univariable and multivariable Cox regression models were used to determine the association between preoperative inflammation index, nutritional index and TNM staging system with OS and DFS respectively.

Results: The median follow-up time was 16 months (IQR 23), and 41.4% of recurrences occurred within 1 year. The cutoff value of SII was 563, with a sensitivity of 70.3%, and a specificity of 60.7%. Peripheral immune status was different between the two groups. Patients in High SII group had higher PAR, NLR than those in Low SII group (P <0.01, <0.01, respectively), and lower PNI (P <0.01). Kaplan-Meier analysis showed significantly poorer OS and DFS (P < 0.001, <0.001, respectively) in patients with high SII. By using the multivariable Cox regression model, high SII (HR, 2.056; 95% CI, 1.082-3.905, P=0.028) was significant predictor of OS. Of these 68 high-risk patients who recurrence within one year, patients with widespread metastasis had lower SII and worse prognosis (P <0.01).

Conclusion: High SII was significantly associated with poor prognosis in patients with PHC. However, in patients who recurrence within one year, SII was lower in patients at TNM stage III. Thus, care needs to be taken to differentiate those high-risk patients.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240062PMC
http://dx.doi.org/10.3389/fonc.2023.1122811DOI Listing

Publication Analysis

Top Keywords

sii group
16
sii
8
patients pancreatic
8
pancreatic head
8
peripheral immune
8
cutoff sii
8
low sii
8
high sii
8
prognostic recurrent
4
recurrent significance
4

Similar Publications

Objective: This study aims to investigate the relation of inflammatory markers to the long-term prognosis of patients with severe non-ST-segment elevation myocardial infarction (NSTEMI) in the intensive care unit (ICU), and to further develop a predictive model for their long-term outcomes.

Methods: This study utilized data on eligible NSTEMI patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Patients were grouped based on mortality outcomes.

View Article and Find Full Text PDF

Objectives: mite infestation is one of the most prevalent causes of blepharitis. This study was designed to evaluate whether blepharitis was related to novel inflammatory markers.

Methods: 89 patients with blepharitis and 76 age-matched participants without blepharitis enrolled in the study.

View Article and Find Full Text PDF

Predictive immunonutritional biomarkers for the severity and recovery of sudden sensorineural hearing loss: a prospective clinical study.

Front Neurol

August 2025

Department of Otorhinolaryngology Head and Neck Surgery, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.

Background: Systemic immune-inflammatory index (SII) and prognostic nutritional index (PNI) are known to predict the severity and prognosis of various diseases. However, their role in sudden sensorineural hearing loss (SSNHL) is unclear.

Methods: This study collected 100 patients with SSNHL and 100 healthy volunteers.

View Article and Find Full Text PDF

Association between systemic immune-inflammation index and 10-year risk of cardiovascular disease in the United States (NHANES 1999-2018).

Exp Biol Med (Maywood)

September 2025

Department of Cardiology, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Henan Provincial People's Hospital Heart Center, Zhengzhou, Henan, China.

The relationship between the systemic immune-inflammation index (SII) and the risk of developing cardiovascular disease (CVD) over the next 10 years in the United States is largely unknown. The aim of this study is to assess the association between SII and 10-year CVD risk. This population-based cross-sectional study included 9901 participants aged between 30 and 74 from the National Health and Nutrition Examination Survey (NHANES) 1999-2018.

View Article and Find Full Text PDF

Bone marrow immune remodeling in depression: TNF/NF-κB mediated leukocyte redistribution and construction of an interpretable predictive model.

Int Immunopharmacol

September 2025

Hebei Medical University Postdoctoral Research Station in Basic Medicine, No. 361 Zhongshan Dong Road, 050017 Shijiazhuang, China; Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, College of Forensic Medicine, Hebei Medical Univ

Environmental stress contributes to the development of depression through neuro-immune interactions, yet the underlying molecular mechanisms and associated clinical diagnostic biomarkers remain unclear. We established a psychosocial stress mouse model and systematically investigated the immune dysregulation induced by stress through integrated analysis of blood cell profiles, leukocyte transcriptomics, protein-protein interaction networks, single-cell RNA sequencing, and targeted pharmacological intervention. Additionally, we constructed and validated a depression predictive model using multiparametric peripheral blood data and machine learning, and assessed feature importance using the SHapley Additive exPlanations (SHAP) analysis.

View Article and Find Full Text PDF