ArticleEuropean journal of medical research2025
Predictive value of the systemic immune-inflammation index in 28-day survival after surgery for intracerebral hemorrhage.
Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Systemic inflammatory biomarkers CAR and IL-6: correlation with neurological deficit and short-term prognosis of intracerebral hemorrhage.Frontiers in neurology · 2026Article
- Emerging roles for interleukin-11 in the inflammatory response of intracerebral hemorrhage.Frontiers in neurology · 2025Review
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Authors and funding
7 authors.
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Abstract
backgroundIntracerebral hemorrhage (ICH) is a severe cerebrovascular condition posing complex clinical challenges, including poor neurological outcomes and high morbidity. Surgery remains the primary treatment, but reliable prognostic markers are still lacking, thus emphasizing the need for an effective predictive tool.
methodsThis retrospective study analyzed 587 patients with ICH admitted to the Neurosurgery Department and Intensive Care Unit (ICU) at the Third Affiliated Hospital of Anhui Medical University (2015-2019). The collected data included demographics, radiological findings, preoperative and intraoperative parameters, and follow-up outcomes. The Systemic Immune-Inflammation Index (SIRI) was calculated to assess its prognostic value.
resultsUnivariate analysis identified the Glasgow Coma Scale (GCS) score, systolic blood pressure, and blood volume as risk factors for postoperative complications. Logistic regression analysis revealed seven key predictors: surgery type, drug-resistant infection, paralysis, gastrointestinal bleeding, GCS score, activated partial thromboplastin time, and SIRI. A nomogram incorporating these factors was developed. Receiver-Operating Characteristic (ROC) analysis showed high predictive accuracy (training set: Area Under the Curve (AUC) = 0.936, sensitivity = 87.5%, specificity = 87.0%, cut off = 0.573; validation set: AUC = 0.915, sensitivity = 79.8%, specificity = 90.4%, cut off = 0.768). Bootstrap validation confirmed the nomogram's robustness. Calibration curves demonstrated high consistency between predicted and actual outcomes. The Hosmer-Lemeshow test showed good model fit (training set: χ
conclusionsThe SIRI is an independent risk factor for 28-day mortality. It can serve as a reliable prognostic indicator for patients with ICH who have undergone surgical treatment.
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