Evidence map›Paper›PMID 40913116›Full record

ArticleScientific reports2025

Platelet factor 4 and stromal cell-derived factor are novel prognostic biomarkers for cerebral vasospasm and mortality after subarachnoid hemorrhage.

Dilaware Khan, Igor Fischer, Sihmehmet Sahan, Michael Hewera, Katharina Faust, Sajjad Muhammad

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Dilaware Khan *Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Moorenstraße 5, 40225, Duesseldorf, Germany.
Igor Fischer *Department of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Moorenstraße 5, 40225, Duesseldorf, Germany.
Sihmehmet SahanDepartment of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Moorenstraße 5, 40225, Duesseldorf, Germany.
Michael HeweraDepartment of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Moorenstraße 5, 40225, Duesseldorf, Germany.
Katharina FaustDepartment of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Moorenstraße 5, 40225, Duesseldorf, Germany.
Sajjad MuhammadDepartment of Neurosurgery, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Moorenstraße 5, 40225, Duesseldorf, Germany. sajjad.muhammad@med.uni-duesseldorf.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aneurysmal subarachnoid hemorrhage (aSAH) is a life-threatening condition associated with high rates of morbidity and mortality, mainly due to post-hemorrhagic complications such as cerebral vasospasm (CVS) and delayed cerebral ischemia (DCI). Recent evidence implicates platelet activation and inflammatory mediators in the cascade of secondary injury following aSAH. Monitoring and timely treatment of post-SAH complications is critical to improve clinical outcomes. Current methods of radiological diagnostic for monitoring are laborious and bound to multiple risks, including radiation exposure. Point-of-care blood biomarkers early after SAH are urgently needed to timely detect and treat post-SAH complications. This prospectively designed cohort study aimed to search for novel predictive biomarkers for vasospasm and clinical outcome with overarching goal to improve treatment decision during intensive care treatment. In this prospective study conducted from 2020 to 2022, 63 aSAH patients (16 male and 47 female) were enrolled. Blood samples were collected to measure platelet factor 4 (PF4) and stromal cell derived factor (SDF) levels. To detect vasospasm, computed tomography (CT) perfusions at day 0, 4, 7 and 11 after the SAH was performed and mean transient time (MTT) was quantified as a measure of cerebral perfusion. Clinical outcome was analysed using modified rankin scale (mRS). Clinical and radiological data was recorded prospectively. The association between PF4 levels and CVS was assessed using receiver operating characteristic (ROC) curve analysis and logistic regression, while linear regression analyses were performed to examine the correlations of PF4 with mean transit times (MTT) and of SDF with the day of death among non-survivors. Logistic regression revealed that each 1 ng/mL increase in PF4 was associated with a 38% increase in the odds of developing CVS (OR = 1.38; 95% CI: 1.07-1.79; p = 0.01). Moreover, elevated PF4 levels were significantly correlated with longer MTT (β = 0.107 per ng/mL; 95% CI: 0.02-0.19; p = 0.02), suggesting impaired cerebral perfusion. Additionally, among non-surviving patients, higher SDF levels were significantly associated with a later occurrence of death (β = 0.01 per pg/mL; 95% CI: 0.001-0.019; p = 0.03). The findings indicate that PF4 and SDF are promising biomarkers in aSAH. Elevated PF4 levels are associated with an increased risk of CVS and impaired cerebral perfusion, while higher SDF levels correlate with mortality. These biomarkers may offer valuable insights for early risk stratification and pave the way for targeted therapeutic interventions in patients with aSAH.

Indexed as

Chemokine CXCL12Platelet Factor 4Subarachnoid HemorrhageVasospasm, IntracranialAdultAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisProspective StudiesBiomarkersChemokine CXCL12CXCL12 protein, humanPF4 protein, humanPlatelet Factor 4CVSMortalityPF4Predictive modelSAHSDF

Identifiers

PMID40913116
PMCPMC12413453

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.