Back

Distinct Inflammatory Profiles in Angiography-Negative Subarachnoid Hemorrhage: A Focused Case Series

Remillard, W.; Sorensen, G.; Grychowski, L.; Vargas, D.; Hadiwidjaja, B.; Amllay, A.; Yan, J.; O'Keefe, L.; Kim, J.; Petersen, N.; Matouk, C.; Falcone, G. J.; Sheth, K.; Sansing, L. H.; Magid-Bernstein, J.

2026-03-04 neurology
10.64898/2026.03.02.26347456 medRxiv
Show abstract

ObjectiveTo compare early cerebrospinal fluid (CSF) cytokine profiles in intracerebral hemorrhage (ICH) versus subarachnoid hemorrhage (SAH), with a focus on angiography-negative SAH (anSAH). MethodsWe conducted a retrospective observational cohort study of adults with spontaneous hemorrhagic stroke (ICH or SAH). For cytokine analyses, we included patients with external ventricular drains (EVDs) and analyzed the first CSF sample obtained within 72 hours of symptom onset. Cytokines were measured using a multiplex bead-based assay and included interleukin-6 (IL-6), interleukin-8 (IL-8), vascular endothelial growth factor A (VEGF-A), C-C motif chemokine ligand-2 (CCL2), and granulocyte colony-stimulating factor (G-CSF). Cytokine concentrations were log-transformed due to non-normal distribution. Functional outcomes were assessed using the modified Rankin Scale (mRS) at discharge and 3 months. ResultsCSF cytokine analyses included 120 patients with available CSF samples (43 ICH and 77 SAH), while functional outcome analyses included a broader cohort of 490 patients with ICH or SAH to characterize discharge and 3-month outcomes across hemorrhage subtypes. Compared with SAH, ICH demonstrated higher early CSF log[IL-8] and log[VEGF-A] and had worse functional outcomes at discharge and 3 months. Within SAH, anSAH had higher log[IL-8] and log[VEGF-A] than aSAH, and its cytokine profile more closely aligned with that of primary ICH in hemorrhages without vascular malformations. DiscussionEarly CSF cytokine patterns suggest anSAH shares a more ICH-like inflammatory signature than aneurysmal SAH, supporting anSAH as a potentially biologically distinct SAH phenotype.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Stroke
35 papers in training set
Top 0.1%
26.3%
2
Journal of Neurology
26 papers in training set
Top 0.1%
6.4%
3
Stroke: Vascular and Interventional Neurology
13 papers in training set
Top 0.1%
4.9%
4
Neurocritical Care
11 papers in training set
Top 0.1%
4.9%
5
Neurology
44 papers in training set
Top 0.2%
4.9%
6
Journal of the American Heart Association
119 papers in training set
Top 2%
4.4%
50% of probability mass above
7
Annals of Neurology
57 papers in training set
Top 0.4%
4.4%
8
Journal of Stroke and Cerebrovascular Diseases
12 papers in training set
Top 0.1%
4.0%
9
Frontiers in Neurology
91 papers in training set
Top 1%
4.0%
10
Journal of Thrombosis and Haemostasis
28 papers in training set
Top 0.1%
4.0%
11
Journal of Neurology, Neurosurgery & Psychiatry
29 papers in training set
Top 0.4%
3.1%
12
PLOS ONE
4510 papers in training set
Top 47%
2.1%
13
Brain
154 papers in training set
Top 2%
2.1%
14
Journal of the Neurological Sciences
17 papers in training set
Top 0.2%
2.1%
15
Scientific Reports
3102 papers in training set
Top 53%
1.9%
16
European Journal of Neurology
20 papers in training set
Top 0.2%
1.7%
17
Critical Care Explorations
15 papers in training set
Top 0.3%
1.5%
18
Journal of Cerebral Blood Flow & Metabolism
43 papers in training set
Top 0.5%
1.0%
19
Brain Communications
147 papers in training set
Top 3%
0.8%
20
Journal of Clinical Medicine
91 papers in training set
Top 6%
0.8%
21
Journal of Neurotrauma
27 papers in training set
Top 0.6%
0.8%
22
Annals of Clinical and Translational Neurology
29 papers in training set
Top 1%
0.7%
23
Alzheimer's & Dementia
143 papers in training set
Top 3%
0.7%
24
EClinicalMedicine
21 papers in training set
Top 1%
0.7%
25
Frontiers in Neuroscience
223 papers in training set
Top 8%
0.7%
26
NeuroImage: Clinical
132 papers in training set
Top 4%
0.5%
27
BMC Medicine
163 papers in training set
Top 9%
0.5%
28
Diagnostics
48 papers in training set
Top 3%
0.5%
29
Nature Communications
4913 papers in training set
Top 67%
0.5%