Journals / Journal of Experimental and Clinical Medicine / 2026 / Volume: 43 Issue: 3

Prognostic value of the admission Fibrosis-4 index in non-traumatic subarachnoid hemorrhage

Tamer Tamdoğan(GİRESUN ÜNİVERSİTESİ, TIP FAKÜLTESİ)0000-0002-0526-1459
Sevim Ondul(GİRESUN ÜNİVERSİTESİ)0000-0003-4219-4862
Pages
—
Publication Date
2026-09-30
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Admission FIB-4 may provide a simple adjunct for early risk stratification in non-traumatic SAH.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Early prognostic assessment after non-traumatic subarachnoid hemorrhage (SAH) remains challenging because established clinical and radiological scales primarily quantify neurological injury and may not fully reflect systemic vulnerability.
📊
Key Findings & Data:We investigated whether the admission Fibrosis-4 (FIB-4) index was associated with 28-day mortality and 90-day functional outcome in intensive care unit patients with non-traumatic SAH.
💡
Conclusion & Impact:Admission FIB-4 may provide a simple adjunct for early risk stratification in non-traumatic SAH.
🔬Design:Research Article
📍Scope:2021 Verileri
⚙️Variables:Non-traumatic subarachnoid hemorrhage · Fibrosis-4 index · Mortality

Abstract

Early prognostic assessment after non-traumatic subarachnoid hemorrhage (SAH) remains challenging because established clinical and radiological scales primarily quantify neurological injury and may not fully reflect systemic vulnerability. We investigated whether the admission Fibrosis-4 (FIB-4) index was associated with 28-day mortality and 90-day functional outcome in intensive care unit patients with non-traumatic SAH. This retrospective cohort study included 325 consecutive adults with computed tomography and/or computed tomography angiography-confirmed SAH admitted to a tertiary intensive care unit between January 2021 and June 2025. FIB-4 was calculated from age, platelet count, aspartate aminotransferase, and alanine aminotransferase measured at admission. The primary outcome was 28-day all-cause mortality; the secondary outcome was unfavorable 90-day functional status, defined as a modified Rankin Scale score of 3-6. Eighty-four patients (25.8%) died within 28 days. Median FIB-4 was higher in non-survivors than survivors (3.3 vs 1.6; p < 0.001). In multivariable logistic regression, hematocrit (odds ratio [OR] 0.857, 95% confidence interval [CI] 0.805-0.912), lactate (OR 2.693, 95% CI 1.676-4.328), and FIB-4 (OR 1.634, 95% CI 1.304-2.046) were independently associated with mortality. FIB-4 showed good discrimination (area under the curve 0.779, 95% CI 0.720-0.838), with an optimal cut-off of 2.45. Patients with FIB-4 ≥2.45 had higher 28-day mortality (52.7% vs 11.7%) and more unfavorable 90-day outcomes (77.7% vs 47.9%; both p < 0.001). Admission FIB-4 may provide a simple adjunct for early risk stratification in non-traumatic SAH.

🔖

Cite This Article

Tamdoğan, T., Ondul, S. (2026). Prognostic value of the admission Fibrosis-4 index in non-traumatic subarachnoid hemorrhage. Journal of Experimental and Clinical Medicine, Volume: 43 Issue: 3. https://ajindex.com/articles/1422489

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (20)

  1. Hoh BL, Ko NU, et al. 2023 guideline for the management of patients with aneurysmal subarachnoid hemorrhage: a guideline from the American Heart Association/American Stroke Association. Stroke 2023;54:e314-e370. https://doi.org/10.1161/STR.0000000000000436.
  2. Steiner T, Juvela S, et al. European Stroke Organization guidelines for the management of intracranial aneurysms and subarachnoid haemorrhage. Cerebrovasc Dis 2013;35:93-112. https://doi.org/10.1159/000346087.
  3. Teasdale G, Jennett B. Assessment of coma and impaired consciousness: a practical scale. Lancet 1974;2:81-4. https://doi.org/10.1016/S0140-6736(74)91639-0.
  4. Wijdicks EF, Bamlet WR, et al. Validation of a new coma scale: the FOUR score. Ann Neurol 2005;58:585-93. https://doi.org/10.1002/ana.20611.
  5. Claassen J, Bernardini GL, et al. Effect of cisternal and ventricular blood on risk of delayed cerebral ischemia after subarachnoid hemorrhage: the Fisher scale revisited. Stroke 2001;32:2012-20. https://doi.org/10.1161/hs0901.095677.
  6. Fang Y, Lu J, et al. Comparison of aneurysmal subarachnoid hemorrhage grading scores in patients with aneurysm clipping and coiling. Sci Rep 2020;10:9199. https://doi.org/10.1038/s41598-020-66160-0.
  7. Zhang Y, Li L, et al. Association of chronic liver disease and mortality in patients with aneurysmal subarachnoid hemorrhage. Stroke 2021;52:e614-e617. https://doi.org/10.1161/STROKEAHA.121.034136.
  8. Parikh NS, Basu E, et al. Management of stroke in patients with chronic liver disease: a practical review. Stroke 2023;54:2461-71. https://doi.org/10.1161/STROKEAHA.123.043011.
  9. Kim M, Kim JH, et al. Risk of cerebral aneurysm rupture after liver transplantation: development and validation of a hemorrhagic stroke scoring model. J Korean Med Sci 2024;39:e88. https://doi.org/10.3346/jkms.2024.39.e88.
  10. Li T, Wang P, et al. Prevalence and prognostic significance of liver fibrosis in patients with aneurysmal subarachnoid hemorrhage. Front Neurol 2022;13:850405. https://doi.org/10.3389/fneur.2022.850405.
  11. Sano H, Satoh A, et al. Modified World Federation of Neurosurgical Societies subarachnoid hemorrhage grading system. World Neurosurg 2015;83:801-7. https://doi.org/10.1016/j.wneu.2014.12.032.
  12. Drake CG, Hunt WE, et al. Report of World Federation of Neurological Surgeons Committee on a universal subarachnoid hemorrhage grading scale. J Neurosurg 1988;68:985-6. https://doi.org/10.3171/jns.1988.68.6.0985.
  13. Frontera JA, Claassen J, et al. Prediction of symptomatic vasospasm after subarachnoid hemorrhage: the modified Fisher scale. Neurosurgery 2006;59:21-7. https://doi.org/10.1227/01.NEU.0000243277.86222.6C.
  14. de Oliveira Manoel AL, Jaja BN, et al. The VASOGRADE: a simple grading scale for prediction of delayed cerebral ischemia after subarachnoid hemorrhage. Stroke 2015;46:1826-31. https://doi.org/10.1161/STROKEAHA.115.008728.
  15. Frontera JA, Provencio JJ, et al. The role of platelet activation and inflammation in early brain injury following subarachnoid hemorrhage. Neurocrit Care 2017;26:48-57. https://doi.org/10.1007/s12028-016-0292-4.
  16. Ma Y, Lin F, Liu M, et al. Relationship between De Ritis and clinical outcomes in patients with aneurysmal subarachnoid hemorrhage: insights from the LongTEAM registry. Sci Rep 2025;15:12314. https://doi.org/10.1038/s41598-025-90843-1.
  17. Norata D, Lattanzi S, et al. Liver fibrosis-4 score predicts outcome of patients with ischemic stroke undergoing intravenous thrombolysis. Front Neurol 2023;14:1103063. https://doi.org/10.3389/fneur.2023.1103063.
  18. Parikh NS, Zhang C, et al. Association between elevated fibrosis-4 index of liver fibrosis and risk of hemorrhagic stroke. Eur Stroke J 2025;10:289-97. https://doi.org/10.1177/23969873241259561.
  19. Macdonald RL. Delayed neurological deterioration after subarachnoid haemorrhage. Nat Rev Neurol 2014;10:44-58. https://doi.org/10.1038/nrneurol.2013.246.
  20. Kedziora J, Burzynska M, et al. Biomarkers of neurological outcome after aneurysmal subarachnoid hemorrhage as early predictors at discharge from an intensive care unit. Neurocrit Care 2021;34:856-66. https://doi.org/10.1007/s12028-020-01110-2.