Evidence map›Paper›PMID 38589058›Full record

ArticleAJNR. American journal of neuroradiology2024

Incidence, Risk Factors, and Clinical Implications of Subarachnoid Hyperdensities on Flat-Panel Detector CT following Mechanical Thrombectomy in Patients with Anterior Circulation Acute Ischemic Stroke.

Bettina L Serrallach, Mattia Branca, Adnan Mujanovic, Anna Boronylo, Julie M Hanke, Arsany Hakim, Sara Pilgram-Pastor, Eike I Piechowiak, Jan Gralla, Thomas Meinel and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AJNR. American journal of neuroradiology, 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. Article
  2. Article
  3. 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

12 authors.

Bettina L SerrallachFrom the Department of Diagnostic and Interventional Neuroradiology (B.L.S., A.M., A.B., A.H., S.P.-P., E.I.P., J.G., J.K., T.D.), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland bettina.serrallach@insel.ch.ORCID 0000-0002-1301-7798
Mattia BrancaDepartment of Clinical Research (M.B.), CTU Bern, University of Bern, Bern, Switzerland.ORCID 0000-0002-8063-7882
Adnan MujanovicFrom the Department of Diagnostic and Interventional Neuroradiology (B.L.S., A.M., A.B., A.H., S.P.-P., E.I.P., J.G., J.K., T.D.), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID 0000-0002-6839-7134
Anna BoronyloFrom the Department of Diagnostic and Interventional Neuroradiology (B.L.S., A.M., A.B., A.H., S.P.-P., E.I.P., J.G., J.K., T.D.), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Julie M HankeDepartment of Neurology (J.M.H., T.M.), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
Arsany HakimFrom the Department of Diagnostic and Interventional Neuroradiology (B.L.S., A.M., A.B., A.H., S.P.-P., E.I.P., J.G., J.K., T.D.), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID 0000-0001-9431-1069
Sara Pilgram-PastorFrom the Department of Diagnostic and Interventional Neuroradiology (B.L.S., A.M., A.B., A.H., S.P.-P., E.I.P., J.G., J.K., T.D.), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID 0000-0002-9879-2637
Eike I PiechowiakFrom the Department of Diagnostic and Interventional Neuroradiology (B.L.S., A.M., A.B., A.H., S.P.-P., E.I.P., J.G., J.K., T.D.), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID 0000-0001-5609-0998
Jan GrallaFrom the Department of Diagnostic and Interventional Neuroradiology (B.L.S., A.M., A.B., A.H., S.P.-P., E.I.P., J.G., J.K., T.D.), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID 0000-0003-1953-9033
Thomas MeinelDepartment of Neurology (J.M.H., T.M.), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID 0000-0002-0647-9273
Johannes KaesmacherFrom the Department of Diagnostic and Interventional Neuroradiology (B.L.S., A.M., A.B., A.H., S.P.-P., E.I.P., J.G., J.K., T.D.), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID 0000-0002-9177-2289
Tomas DobrockyFrom the Department of Diagnostic and Interventional Neuroradiology (B.L.S., A.M., A.B., A.H., S.P.-P., E.I.P., J.G., J.K., T.D.), Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.ORCID 0000-0002-6167-3343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeFlat-panel detector CT immediately after mechanical thrombectomy can detect complications, including early hemorrhagic transformation and subarachnoid hyperdensities. The clinical significance of subarachnoid hyperdensities in patients undergoing mechanical thrombectomy remains unclear. MATERIALS AND

methodsWe studied 223 patients who underwent mechanical thrombectomy for anterior circulation stroke who had flat-panel detector CT performed immediately after the procedure and had follow-up imaging within 24 hours. Subarachnoid hyperdensity severity was categorized into 5 grades (subarachnoid hyperdensities, 0: absent to subarachnoid hyperdensities, IV: extensive). Baseline and procedural characteristics as well as outcome measures were analyzed using group comparisons and multivariable logistic regression analyses.

resultsOverall, 100/223 (45%) patients showed subarachnoid hyperdensities on immediate postinterventional flat-panel detector CT. The factors associated with an increased subarachnoid hyperdensity risk were the following: medium-vessel occlusion or distal-vessel occlusion compared with a large-vessel occlusion, a more distal device position, a higher number of device passes, a larger volume of contrast applied, worse final reperfusion expanded TICI, and after receiving IV thrombolysis. The occurrence of subarachnoid hyperdensity grades II-IV was independently associated with worse functional outcomes (adjusted OR for mRS, 3-6: 2.2; 95% CI 1.1-4.3), whereas patients with subarachnoid hyperdensity grade I had outcomes similar to those in patients without subarachnoid hyperdensities.

conclusionsOur study identified risk factors for subarachnoid hyperdensities, most of which reflect increasingly challenging procedures or more peripheral recanalization attempts. The presence of subarachnoid hyperdensity grades II-IV was associated with poorer outcomes, suggesting the need for personalized strategies to reduce its incidence and severity or potentially improve recovery after subarachnoid hyperdensities.

Indexed as

Ischemic StrokeThrombectomyAgedAged, 80 and overFemaleHumansIncidenceMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesRisk FactorsSubarachnoid HemorrhageTomography, X-Ray ComputedTreatment Outcome

Identifiers

PMID38589058
PMCPMC11392375

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.