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Ye F, Jin J, Dai J. The association between systemic immune-inflammation index and the short-term functional outcome of patients with aneurysmal subarachnoid hemorrhage: a meta-analysis. Neurosurg Rev 2025; 48:272. [PMID: 40016496 DOI: 10.1007/s10143-025-03300-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2024] [Revised: 01/06/2025] [Accepted: 01/27/2025] [Indexed: 03/01/2025]
Abstract
Systemic immune-inflammation index (SII), calculated as platelet count × neutrophil count/lymphocyte count, is a novel biomarker reflecting immune and inflammatory responses. Its prognostic value in patients with subarachnoid hemorrhage (SAH) remains unclear. This meta-analysis aimed to evaluate the association between SII at admission and the short-term functional outcomes of patients with SAH. A systematic search of PubMed, Embase, Web of Science, China National Knowledge Infrastructure, and Wanfang databases identified cohort studies reporting the relationship between SII levels and functional outcomes in SAH. Poor functional outcomes were defined as modified Rankin Scale > 2 or Glasgow Outcome Scale < 4. Heterogeneity was assessed using I² statistic, and data synthesis was performed using a random-effects model by incorporating the influence of heterogeneity. RevMan 5.1 and Stata 17.0 were used for the analyses. Ten cohort studies involving 2,228 patients were included. Meta-analysis revealed that a high SII at admission significantly increased the risk of poor functional outcomes (OR: 3.08, 95% CI: 2.07-4.59, p < 0.001) with moderate heterogeneity (I² = 61%). Subgroup analysis showed a stronger association in studies with SII cutoffs ≥ 1400 compared to < 1400 (p for subgroup difference < 0.001). Meta-regression identified the cutoff value for SII as a significant modifier (p = 0.03) for the association between SII and poor functional outcome. Sensitivity analyses by excluding one dataset at a time showed similar results (p all < 0.05). In conclusion, elevated SII at admission is associated with an increased risk of poor short-term functional outcomes in SAH. These findings highlight SII as a potential prognostic biomarker for early risk stratification in SAH patients.
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Affiliation(s)
- Fenfang Ye
- Department of Neurology, Linhai Second People's Hospital Medical Community, 198 Dubei Road, Duqiao Town, Linhai, 317016, Zhejiang Province, China
| | - Jin Jin
- Department of Neurology, Linhai Second People's Hospital Medical Community, 198 Dubei Road, Duqiao Town, Linhai, 317016, Zhejiang Province, China
| | - Jiayong Dai
- Department of Neurology, Linhai Second People's Hospital Medical Community, 198 Dubei Road, Duqiao Town, Linhai, 317016, Zhejiang Province, China.
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Provencio JJ, Inkelas S, Vergouwen MDI. Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage: The Role of the Complement and Innate Immune System. Transl Stroke Res 2025; 16:18-24. [PMID: 39168941 PMCID: PMC11772402 DOI: 10.1007/s12975-024-01290-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 08/05/2024] [Accepted: 08/13/2024] [Indexed: 08/23/2024]
Abstract
Specific inflammatory pathways are important in the development of delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage. Understanding the specific pathways of inflammation may be critical for finding new treatments. Evidence is accumulating that innate inflammatory cells and proteins play a more important role than cells of the adaptive inflammatory system. In this work, we review the evidence from clinical and preclinical data regarding which cells of the immune system play a role in DCI with particular emphasis on the bone-marrow-derived cells monocytes and neutrophils and the brain parenchymal microglia. In addition, we will review the evidence that complement proteins, a non-cellular part of the innate immune system, play a role in the development of DCI.
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Affiliation(s)
| | - Sonya Inkelas
- Department of Neurology, University of Virginia, Charlottesville, VA, USA
| | - Mervyn D I Vergouwen
- Department of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Yi HJ, Shin DS, Kim BT. Dynamic changes of systemic inflammation response index and systemic immune-inflammation index are associated with delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage. J Stroke Cerebrovasc Dis 2024; 33:107626. [PMID: 38325674 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/08/2024] [Accepted: 02/04/2024] [Indexed: 02/09/2024] Open
Abstract
OBJECTIVES Delayed cerebral ischemia (DCI) is a factor contributing to poor outcome of aneurysmal subarachnoid hemorrhage (aSAH). Serial inflammatory response is known to affect the occurrence of DCI. The aim of this study was to evaluate associations of dynamic changes of various inflammatory markers with occurrence of DCI after aSAH. METHODS A total of 279 patients with interventional treatment for aSAH were enrolled, and dichotomized according to the occurrence of DCI. Various inflammatory markers, including systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and their dynamic changes were analyzed at four different time points. Receiver operating characteristic (ROC) curve analysis with area under the curve (AUC) and univariate, multivariate Cox regression analyses with hazard ratio (HR) and 95 % confidence interval (CI) were performed to identify predictors for DCI. RESULTS Differences of SII and SIRI values between DCI (+) and DCI (-) group were significantly higher at 5-7 days than at other time points (P < 0.001 and P < 0.001, respectively). SII and SIRI had higher predicting values for DCI occurrence than other inflammatory markers (AUC: 0.862, 95 % CI: 0.786-0.928; P < 0.001 and AUC: 0.851, 95 % CI: 0.769-0.913; P < 0.001, respectively). SII at 5-7 days (HR: 1.74, 95 % CI: 1.38-3.22, P = 0.020) and SIRI at 5-7 days (HR: 1.62, 95 % CI: 1.28-2.84, P = 0.035) were associated with occurrence of DCI. CONCLUSIONS Dynamic changes of SII and SII might be predictors of DCI occurrence in patients with aSAH.
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Affiliation(s)
- Ho Jun Yi
- Department of Neurosurgery, Soonchunhyang University Bucheon Hospital, Bucheon, South Korea; Department of Neurosurgery, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea; Department of Neurosurgery, Hangang Sacred Heart Hospital, Hallym University, Seoul, South Korea
| | - Dong-Seong Shin
- Department of Neurosurgery, Soonchunhyang University Bucheon Hospital, Bucheon, South Korea.
| | - Bum-Tae Kim
- Department of Neurosurgery, Soonchunhyang University Bucheon Hospital, Bucheon, South Korea
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Mittal AM, Nowicki KW, Mantena R, Cao C, Rochlin EK, Dembinski R, Lang MJ, Gross BA, Friedlander RM. Advances in biomarkers for vasospasm - Towards a future blood-based diagnostic test. World Neurosurg X 2024; 22:100343. [PMID: 38487683 PMCID: PMC10937316 DOI: 10.1016/j.wnsx.2024.100343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 02/21/2024] [Indexed: 03/17/2024] Open
Abstract
Objective Cerebral vasospasm and the resultant delayed cerebral infarction is a significant source of mortality following aneurysmal SAH. Vasospasm is currently detected using invasive or expensive imaging at regular intervals in patients following SAH, thus posing a risk of complications following the procedure and financial burden on these patients. Currently, there is no blood-based test to detect vasospasm. Methods PubMed, Web of Science, and Embase databases were systematically searched to retrieve studies related to cerebral vasospasm, aneurysm rupture, and biomarkers. The study search dated from 1997 to 2022. Data from eligible studies was extracted and then summarized. Results Out of the 632 citations screened, only 217 abstracts were selected for further review. Out of those, only 59 full text articles met eligibility and another 13 were excluded. Conclusions We summarize the current literature on the mechanism of cerebral vasospasm and delayed cerebral ischemia, specifically studies relating to inflammation, and provide a rationale and commentary on a hypothetical future bloodbased test to detect vasospasm. Efforts should be focused on clinical-translational approaches to create such a test to improve treatment timing and prediction of vasospasm to reduce the incidence of delayed cerebral infarction.
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Affiliation(s)
- Aditya M. Mittal
- University of Pittsburgh Medical Center, Department of Neurosurgery, Pittsburgh, PA, USA
| | | | - Rohit Mantena
- University of Pittsburgh Medical Center, Department of Neurosurgery, Pittsburgh, PA, USA
| | - Catherine Cao
- University of Pittsburgh Medical Center, Department of Neurosurgery, Pittsburgh, PA, USA
| | - Emma K. Rochlin
- Loyola University Stritch School of Medicine, Maywood, IL, USA
| | - Robert Dembinski
- University of Pittsburgh Medical Center, Department of Neurosurgery, Pittsburgh, PA, USA
| | - Michael J. Lang
- University of Pittsburgh Medical Center, Department of Neurosurgery, Pittsburgh, PA, USA
| | - Bradley A. Gross
- University of Pittsburgh Medical Center, Department of Neurosurgery, Pittsburgh, PA, USA
| | - Robert M. Friedlander
- University of Pittsburgh Medical Center, Department of Neurosurgery, Pittsburgh, PA, USA
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Szántó D, Luterán P, Kóti N, Siró P, Simon É, Jakab Z, Gál J, Kappelmayer J, Fülesdi B, Molnár C. Correlation of Inflammatory Parameters with the Development of Cerebral Vasospasm, Takotsubo Cardiomyopathy, and Functional Outcome after Spontaneous Subarachnoid Hemorrhage. J Clin Med 2024; 13:1955. [PMID: 38610720 PMCID: PMC11012874 DOI: 10.3390/jcm13071955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 03/18/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024] Open
Abstract
Background: The present work aimed to determine whether a relationship exists between inflammatory parameters and the development of vasospasm (VS) and Takotsubo cardiomyopathy (TTC), as well as clinical outcome, in patients suffering from spontaneous subarachnoid hemorrhage (SAH). Methods: In this study, the authors processed the prospectively collected laboratory and clinical data of spontaneous SAH patients admitted to the neurointensive care unit between March 2015 and October 2023. The highest values of neutrophils (NEUpeak), monocytes (MONOpeak), neutrophil-to-lymphocyte ratio (NLRpeak), and CRP (CRPpeak) during the initial 7 days were correlated with the occurrence of VS and TTC, and with the outcome measures at day 30 after onset. Results: Data were collected from 175 SAH patients. Based on ROC analysis, for the development of VS, MONOpeak was the most accurate indicator (AUC: 0.619, optimal cut-off: 1.45 G/L). TTC with severe left ventricular dysfunction (ejection fraction < 40%) was indicated most sensitively by NEUpeak (ROC: 0.763, optimal cut-off: 12.34 G/L). Both for GOS and Barthel Index at day 30, CRPpeak was the best predictor for the outcome (GOS: ROC: 0.846, optimal cut-off: 78.33 mg/L and Barthel Index: ROC: 0.819, optimal cut-off: 78.33 mg/L). Conclusions: Laboratory parameters referring to inflammation during the initial 7 days after SAH correlate with the development of VS and TTC, and thus may predict functional outcome.
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Affiliation(s)
- Dorottya Szántó
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary (Z.J.)
- Hungarian Research Network (HUN-REN-DE) Cerebrovascular Research Group, 4032 Debrecen, Hungary
| | - Péter Luterán
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary (Z.J.)
| | - Nikolett Kóti
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary (Z.J.)
| | - Péter Siró
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary (Z.J.)
| | - Éva Simon
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary (Z.J.)
| | - Zsuzsa Jakab
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary (Z.J.)
| | - Judit Gál
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary (Z.J.)
| | - János Kappelmayer
- Department of Laboratory Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Béla Fülesdi
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary (Z.J.)
- Hungarian Research Network (HUN-REN-DE) Cerebrovascular Research Group, 4032 Debrecen, Hungary
| | - Csilla Molnár
- Department of Anesthesiology and Intensive Care, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary (Z.J.)
- Hungarian Research Network (HUN-REN-DE) Cerebrovascular Research Group, 4032 Debrecen, Hungary
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