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Biomarkers in the Prediction of Hemorrhagic Transformation in Acute Stroke: A Systematic Review and Meta-Analysis.
Krishnamoorthy, Soumya; Singh, Gurpreet; Jose K, Jithu; Soman, Biju; Foerch, Christian; Kimberly, W Taylor; Millán, Mónica; Switonska, Milena; Maestrini, Ilaria; Bordet, Régis; Malhotra, Konark; Mechtouff, Laura; Sylaja, P N.
Afiliação
  • Krishnamoorthy S; Comprehensive Stroke Care Program, Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India, soumyamoorthy.k@gmail.com.
  • Singh G; Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India.
  • Jose K J; Department of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India.
  • Soman B; Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India.
  • Foerch C; Department of Neurology, University Hospital, Goethe University, Frankfurt am Main, Germany.
  • Kimberly WT; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Millán M; Stroke Unit, Department of Neurosciences, Hospital Germans Trias i Pujol, Departament de Medicina, Universitat Autónoma de Barcelona, Barcelona, Spain.
  • Switonska M; Department of Neurosurgery and Neurology, Nicolaus Copernicus University in Toru´n, Ludwik Rydygier Collegium Medicum, Bydgoszcz, Poland.
  • Maestrini I; Department of Systems Medicine, Stroke Center, University of Rome Tor Vergata, Rome, Italy.
  • Bordet R; Department of Medical Pharmacology, Degenerative and Vascular Cognitive Disorders, University Hospital CHU Lille, Inserm U1171, University of Lille, Lille, France.
  • Malhotra K; Department of Medical Pharmacology, Degenerative and Vascular Cognitive Disorders, University Hospital CHU Lille, Inserm U1171, University of Lille, Lille, France.
  • Mechtouff L; Department of Neurology, Allegheny Health Network, Pittsburgh, Pennsylvania, USA.
  • Sylaja PN; Stroke Department, Pierre Wertheimer Hospital, Hospices Civils de Lyon, Lyon, France.
Cerebrovasc Dis ; 51(2): 235-247, 2022.
Article em En | MEDLINE | ID: mdl-34569521
ABSTRACT

BACKGROUND:

Hemorrhagic transformation (HT) is a complication that occurs spontaneously or after thrombolysis in acute ischemic stroke (AIS) and can increase morbidity and mortality. The association of biomarkers with the risk of HT has been variably reported. We conducted a systematic review of the literature and meta-analysis and sought to compare blood biomarkers associated with HT and its subtypes by evaluating its predictability and correlation with outcome in AIS.

METHODS:

The study protocol was registered in the PROSPERO database (CRD42020201334) and adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Among 2,230 articles identified from Cochrane Library, PubMed, and Web of Science databases, 30 quality-appraised articles were found eligible. Meta-analysis was conducted for matrix metalloproteinase-9 (MMP-9), cellular fibronectin (c-Fn), ferritin, S100 calcium-binding protein B (S100B), and neutrophil-lymphocyte ratio (NLR). We also reviewed biomarkers for correlation with the functional outcome at 90 days from stroke onset (poor outcome modified Rankin scale >2).

RESULTS:

The pooled diagnostic odds ratio (DORpooled) was the highest for baseline c-Fn levels (299.253 [95% CI, 20.508-4,366.709]), followed by MMP-9 (DORpooled, 29.571 [95% CI 17.750-49.267]) and ferritin (DORpooled, 24.032 [95% CI 2.557-225.871]). However, wide confidence intervals for ferritin and c-Fn suggested lesser reliability of the markers. Patients with MMP-9 levels ≥140 ng/mL were 29.5 times at higher risk of developing symptomatic HT after AIS (area under the curve = 0.881). S100B (DORpooled, 6.286 [95% CI, 1.861-21.230]) and NLR (DORpooled, 5.036 [95% CI, 2.898-8.749]) had lower diagnostic accuracies. Among the markers not included for meta-analysis, caveolin-1, thrombin-activated fibrinolysis inhibitor, plasminogen activator inhibitor-1, and soluble ST2 were highly sensitive. Elevated levels of MMP-9, ferritin, and NLR were found to be associated with poor functional outcomes and mortality.

CONCLUSION:

Of the 5 biomarkers, there was enough evidence that MMP-9 has higher diagnostic accuracy for predicting the risk of HT before thrombolysis. MMP-9, ferritin, and NLR also predicted poor short-term outcomes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Isquemia Encefálica / Acidente Vascular Cerebral / AVC Isquêmico Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Cerebrovasc Dis Assunto da revista: ANGIOLOGIA / CEREBRO Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Isquemia Encefálica / Acidente Vascular Cerebral / AVC Isquêmico Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Cerebrovasc Dis Assunto da revista: ANGIOLOGIA / CEREBRO Ano de publicação: 2022 Tipo de documento: Article