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Background: Mounting evidence has shown that systemic inflammation response index (SIRI), a novel prognostic biomarker based on peripheral lymphocyte, neutrophil and monocyte counts, is associated with poor prognosis for several tumors. However, the prognostic value of SIRI in patients with hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE) is elusive. Herein, we aimed to evaluate the correlation between SIRI and clinical outcomes in these patients.
Methods: A total of 194 consecutive patients who underwent TACE were included in this study. Patients were stratified into high and low SIRI groups based on the cut-off value using receiver operating characteristic (ROC) analysis. Independent risk factors for tumor response were analyzed using forward stepwise logistic regression. A one-to-one propensity score matching (PSM) was conducted to compare progression-free survival (PFS) and overall survival (OS) between low and high SIRI patients. The discriminatory power of the combination of number of tumors and SIRI in predicting initial TACE response was evaluated by ROC analysis.
Results: Patients were divided into high SIRI (> 0.88) and low SIRI (≤ 0.88) groups. High SIRI (p = 0.003) and more than three tumors (p = 0.002) were significantly related to poorer tumor response. Moreover, the low SIRI group had longer PFS and OS than the high SIRI group (both P < 0.05) before and after PSM. Combination of SIRI and number of tumors can improve the predictive ability to predict initial TACE response with an area under the curve (AUC) of 0.678.
Conclusion: Pretreatment peripheral blood SIRI was found to be an independent predictor of tumor response and clinical outcomes in patients with HCC undergoing TACE. Patients with high SIRI may have a poor prognosis.
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http://dx.doi.org/10.2147/RMHP.S316740 | DOI Listing |
Front Cardiovasc Med
August 2025
Departments of Cardiology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China.
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.
J Inflamm Res
August 2025
Department of Neurology II, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, 710068, People's Republic of China.
Objective: Large hemispheric infarction (LHI) represents one of the most severe subtypes of ischemic stroke, associated with high rates of disability and mortality. This study aimed to examine the association between the systemic inflammation response index (SIRI) and LHI, identify independent risk factors, and develop a predictive model for clinical application.
Methods: A total of 152 patients diagnosed with LHI and admitted to Shaanxi Provincial People's Hospital between June 2020 and June 2023 were retrospectively selected based on defined inclusion and exclusion criteria.
Vasc Health Risk Manag
September 2025
Department of Stroke Center, Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250013, People's Republic of China.
Background: Carotid artery stenting (CAS) has been widely used to remodel the vascular structure and restore the blood flow for preventing ischemic stroke. However, in-stent restenosis (ISR) after CAS is extremely associated with an increased risk of ischemic stroke recurrence.
Objective: The aim of this study was to explore potential predict biomarkers for ISR after CAS.
Front Endocrinol (Lausanne)
September 2025
National Center for Birth Defect Monitoring, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.
Introduction: The significance of immune-inflammation indexes in diabetic nephropathy (DN) was assessed in this meta-analysis to offer guidance for clinical diagnosis and treatment for DN.
Methods: We performed a meta-analysis on the association between immune-inflammation indexes and the incidence and prognosis of DN, specifically focusing on the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI). We thoroughly searched PubMed, Web of Science, Embase, and Cochrane from inception to September 2024.
Diabetes Metab Syndr Obes
August 2025
Department of Endocrinology, The Third Clinical Medical College of Ningxia Medical University, Yinchuan City, Ningxia Hui Autonomous Region, 750002, People's Republic of China.
Purpose: Investigate the correlation between chronic inflammatory indicators and DPN in hospitalized elderly patients with Type 2 diabetes mellitus (T2DM), and to build a prediction model to provide scientific basis for early identification of high-risk groups.
Patients And Methods: Clinical data of 270 elderly T2DM patients hospitalized in the People's Hospital of Ningxia Hui Autonomous Region from January 2021 to December 2024 were selected and classified into a diabetic peripheral neuropathy group (DPN, n=163) and a non-diabetic peripheral neuropathy group (NDPN, n=107) depending on the presence of DPN. Clinical features, biochemical indicators and peripheral blood inflammatory indicators (PLR, NLR, MLR, SII, SIRI) of patients were collected, and a predictive model was constructed by logistic regression analysis.