Evidence map›Paper›PMID 39044147›Full record

ArticleClinical proteomics2024

Proteomic profile and predictive markers of outcome in patients with subarachnoid hemorrhage.

Sara Diana Lolansen, Nina Rostgaard, Markus Harboe Olsen, Maud Eline Ottenheijm, Lylia Drici, Tenna Capion, Nicolas Hernandez Nørager, Nanna MacAulay, Marianne Juhler

Abstract read
In one paragraph

Article in Clinical proteomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

9 authors.

Sara Diana Lolansen *Department of Neurosurgery, the Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-6965-0939
Nina Rostgaard *Department of Neurosurgery, the Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-6384-9840
Markus Harboe Olsen *Department of Neuroanaesthesiology, the Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-0981-0723
Maud Eline OttenheijmNNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0009-0005-6837-9170
Lylia DriciNNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
Tenna CapionDepartment of Neurosurgery, the Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
Nicolas Hernandez NøragerDepartment of Neurosurgery, the Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-1896-7749
Nanna MacAulayDepartment of Neuroscience, University of Copenhagen, Copenhagen, Denmark. macaulay@sund.ku.dk.ORCID http://orcid.org/0000-0002-7800-6600
Marianne JuhlerDepartment of Neurosurgery, the Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark. Marianne.Juhler@regionH.dk.ORCID http://orcid.org/0000-0003-2652-7495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe molecular mechanisms underlying development of posthemorrhagic hydrocephalus (PHH) following subarachnoid hemorrhage (SAH) remain incompletely understood. Consequently, treatment strategies tailored towards the individual patient remain limited. This study aimed to identify proteomic cerebrospinal fluid (CSF) biomarkers capable of predicting shunt dependency and functional outcome in patients with SAH in order to improve informed clinical decision making.

methodsVentricular CSF samples were collected twice from 23 patients with SAH who required external ventricular drain (EVD) insertion (12 patients with successful EVD weaning, 11 patients in need of permanent CSF shunting due to development of PHH). The paired CSF samples were collected acutely after ictus and later upon EVD removal. Cisternal CSF samples were collected from 10 healthy control subjects undergoing vascular clipping of an unruptured aneurysm. All CSF samples were subjected to mass spectrometry-based proteomics analysis. Proteomic biomarkers were quantified using area under the curve (AUC) estimates from a receiver operating curve (ROC).

resultsCSF from patients with SAH displayed a distinct proteomic profile in comparison to that of healthy control subjects. The CSF collected acutely after ictus from patients with SAH was moreover distinct from that collected weeks later but appeared similar in the weaned and shunted patient groups. Sixteen unique proteins were identified as potential predictors of shunt dependency, while three proteins were identified as potential predictors of functional outcome assessed six months after ictus with the modified Rankin Scale.

conclusionsWe here identified several potential proteomic biomarkers in CSF from patients with SAH capable of predicting (i) shunt dependency and thus development of PHH and (ii) the functional outcome assessed six months after ictus. These proteomic biomarkers may have the potential to aid clinical decision making by predicting shunt dependency and functional outcome following SAH.

Indexed as

BiomarkersCerebrospinal fluidMass spectrometryPosthemorrhagic hydrocephalusProteomicsSubarachnoid hemorrhage

Identifiers

PMID39044147
PMCPMC11267790

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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 OpenQuestion graph.