Evidence map›Paper›PMID 39884976›Full record

ArticleClinical neuroradiology2025

Predictors and Implications of Myocardial Injury in Intracerebral Hemorrhage.

Felix Hess, Julian McGinnis, Enayatullah Baki, Tun Wiltgen, Arne Müller, Christian Maegerlein, Jan Kirschke, Claus Zimmer, Bernhard Hemmer, Silke Wunderlich and 1 more

Abstract read
In one paragraph

Article in Clinical neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

11 authors.

Felix HessDepartment of Neurology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany. felixhans.hess@tum.de.ORCID http://orcid.org/0009-0003-1052-1088
Julian McGinnisDepartment of Neurology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Enayatullah Baki
Tun WiltgenDepartment of Neurology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Arne MüllerDepartment of Internal Medicine I, Cardiology, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, München, Germany.
Christian MaegerleinDepartment of Diagnostic und Interventional Neuroradiology, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, München, Germany.
Jan KirschkeDepartment of Diagnostic und Interventional Neuroradiology, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, München, Germany.
Claus ZimmerDepartment of Diagnostic und Interventional Neuroradiology, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, München, Germany.
Bernhard HemmerDepartment of Neurology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Silke WunderlichDepartment of Neurology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Mark MühlauDepartment of Neurology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.

Funding

Bayerisches Staatsministerium für Wissenschaft, Forschung und Kunst Collaborative Bilateral Research Program Bavaria-Québec: AI in medicine, grant F.4-V0134.K5.1/86/34Deutsche Forschungsgemeinschaft DFG SPP2177, Radiomics: Next Generation of Biomedical Imaging - project number 428223038Deutsche Forschungsgemeinschaft Germany's Excellence Strategy within the framework of the Munich Cluster for Systems Neurology (EXC 2145 SyNergy - ID 390857198)
6 · The paper itself

Abstract

purposeMyocardial injury, indicated by an elevation of high-sensitive cardiac Troponin (hs-cTnT), is a frequent stroke-related complication. Most studies investigated patients with ischemic stroke, but only little is known about its occurrence in patients with intracerebral hemorrhage (ICH). This study aimed to assess the frequency, predictors, and implications of myocardial injury in ICH patients.

methodsOur retrospective analysis included 322 ICH patients. We defined myocardial injury as an elevation of hs-cTnT above the 99th percentile (i.e. 14 ng/L). Acute myocardial injury was defined as either a changing pattern of > 50% within 24 h or an excessive elevation of initial hs-cTnT (> 52 ng/L). 3D brain scans were assessed for ICH visually and quantitatively by a deep learning algorithm. Multiple regression models and Voxel-based Lesion-Symptom Mapping (VLSM) were applied.

results63.0% (203/322) of patients presented with myocardial injury, which was associated with more severe strokes and worse outcomes during the in-hospital phase (P < 0.01). Acute myocardial injury occurred in 24.5% (79/322) of patients. The only imaging finding associated with acute myocardial injury was midline shift (69.8% vs. 44.6% for normal or stable hs-cTnT, P < 0.01), which also independently predicted it (odds ratio 3.29, confidence interval 1.38-7.87, P < 0.01). In contrast, VLSM did not identify any specific brain region significantly associated with acute myocardial injury. Acute myocardial injury did not correlate with preexisting cardiac diseases; however, the frequency of adverse cardiac events was higher in the acute myocardial injury group (11.4% vs. 4.1% in patients with normal and/or stable patterns of hs-cTnT, P < 0.05).

conclusionMyocardial injury occurs frequently in ICH and is linked to poor outcomes. Acute myocardial injury primarily correlates to space-occupying effects of ICH but is less dependent on premorbid cardiac status. Nonetheless, it is associated with a higher rate of adverse cardiac events.

Indexed as

Cerebral HemorrhageTroponin TAgedAged, 80 and overBiomarkersDeep LearningFemaleHumansImaging, Three-DimensionalMaleMiddle AgedPredictive Value of TestsRetrospective StudiesBiomarkersTroponin TDeep learningIntracerebral hemorrhageStrokeTroponin

Identifiers

PMID39884976
PMCPMC12174305

What OpenQuestion 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 OpenQuestion graph.