ArticleDisease markers2022
The Value of SII in Predicting the Mortality of Patients with Heart Failure.
Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diagnostic and prognostic value of systemic immune-inflammation index for heart failure: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2025Pooled it
- Prognostic role of the systemic immune-inflammation index in biliary tract cancers: a meta-analysis of 3,515 patients.World journal of surgical oncology · 2022Pooled it
- Systemic immune-inflammation index predicts left atrial thrombus in non-valvular atrial fibrillation: A retrospective study of 847 patients.Journal of thrombosis and thrombolysis · 2026Article
- Prognostic value of the NAPLES score in patients undergoing LVAD implantation: comparison with established nutritional indices.BMC cardiovascular disorders · 2026Article
- Diagnostic and prognostic biomarkers in heart failure and myeloproliferative neoplasms: clinical applications and risk scores - a narrative review.Cardio-oncology (London, England) · 2026Review
- Prognostic Value of SII for Prediction of Pharmacological Cardioversion Success in Newly Diagnosed Atrial Fibrillation.Journal of clinical medicine · 2026Article
- Effects of Dapagliflozin on Novel Inflammatory Markers in Heart Failure Patients.Cardiology research and practice · 2026Article
- Correlation of Controlling Nutritional Status Score and Systemic Immune-Inflammation Index With Frailty and Prognosis in Chronic Heart Failure Patients With Atrial Fibrillation.Cardiology research and practice · 2026Article
- The prognostic values of the SII and the SIRI in patients with STEMI following percutaneous coronary intervention: a retrospective study.European journal of medical research · 2025Article
- Influence of systemic immunoinflammatory index on major adverse cardiovascular events in patients with coronary heart disease with heart failure as assessed by propensity score matching.European journal of medical research · 2025Article
- SIRI and SII as potential biomarkers of disease activity and lupus nephritis in systemic lupus erythematosus.Frontiers in immunology · 2025Article
- Heart failure, inflammation and exercise.International journal of biological sciences · 2025Review
- The Predictive and Prognostic Value of the Systemic Immune-Inflammation Index for Congestive Heart Failure.Reviews in cardiovascular medicine · 2024Article
- Evaluating the prognostic value of systemic immune-inflammatory index in patients with acute decompensated heart failure.ESC heart failure · 2024Article
- Article
- Screening significance of systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) in coronary heart disease of symptomatic youth.Immunity, inflammation and disease · 2024Article
- The significance of biomarkers of inflammation in predicting the activity of Lupus nephritis.Journal of medical biochemistry · 2024Article
- Inflammatory Hematological Indices, Cardiovascular Disease and Mortality: A Narrative Review.Arquivos brasileiros de cardiologia · 2024Review
- The Associations of Two Novel Inflammation Biomarkers, SIRI and SII, with Mortality Risk in Patients with Chronic Heart Failure.Journal of inflammation research · 2024Article
- The Inflammation-Fibrosis Combined Index: A Novel Marker for Predicting Left Ventricular Reverse Remodeling and Prognosis in Patients with HFrEF.Journal of inflammation research · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The main purpose of this study was to explore the predictive value of the systemic immune inflammation index (SII), a novel clinical marker, in heart failure (HF) patients. Methods: Critically ill patients with HF were identified from the Medical Information Mart for Intensive Care III (MIMIC III) database. Patients were divided into three groups according to tertiles of SII (group 1, group 2, group 3). We used Kaplan-Meier curves and Cox proportional hazards regression models to evaluate the association between the SII and all-cause mortality in HF. Subgroup analysis was used to verify the predictive effect of the SII on mortality. Results: This study included 9107 patients with a diagnosis of HF from the MIMIC III database. After 30, 60, 180, and 365 days of follow-up, 25.60%, 32.10%, 41.30%, and 47.50% of the patients in group 3 had died. Using the Kaplan-Meier curve, we observed that patients with higher SII values had a shorter survival time (log rank Conclusions: SII values could be used as a predictor of prognosis in critically ill patients with HF.
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