Discriminative value of glial fibrillar acidic protein (GFAP) as a diagnostic tool in acute stroke. Individual patient data meta-analysis

被引:16
|
作者
Cabezas, Juan Antonio [1 ]
Bustamante, Alejandro [2 ]
Giannini, Nicola [3 ]
Pecharroman, Emilio [2 ]
Katsanos, Aristeidis H. [4 ]
Tsivgoulis, Georgios [5 ]
Rozanski, Michal [6 ]
Audebert, Heinrich [6 ]
Mondello, Stefania [7 ]
Llombart, Victor [2 ]
Montaner, Joan [1 ,8 ]
机构
[1] Virgen Rocio Univ Hosp, Neurol, Seville 41009, Spain
[2] Univ Autonoma Barcelona, Neurovasc Res Lab, Vall dHebron Inst Res VHIR, Barcelona, Spain
[3] Univ Pisa, Neurol Clin, Pisa, Italy
[4] Univ Ioannina, Sch Med, Dept Neurol, Athens, Greece
[5] Natl & Kapodistrian Univ Athens, Sch Med, Dept Neurol, Athens, Greece
[6] Charite, Dept Neurol, Ctr Stroke Res Berlin CSB, Berlin, Germany
[7] Univ Messina, Dept Biomed Dent Morphol & Funct Imaging Sci, Messina, Italy
[8] Vall dHebron Hosp, Neurovasc Lab, Barcelona, Spain
关键词
stroke; biomarkers; INTRACEREBRAL HEMORRHAGE; CEREBRAL-ISCHEMIA; BIOMARKER; INJURY;
D O I
10.1136/jim-2020-001432
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Glial fibrillar acidic protein (GFAP) in serum has been evaluated as a promising biomarker to differentiate between intracerebral hemorrhage (ICH) and acute ischemic stroke (AIS). We assessed its value as diagnostic and prognostic tool for ICH through a literature systematic review and individual patient data (IPD) meta-analysis. We performed a systematic search in PubMed database until November 2018 for publications that evaluated GFAP to differentiate AIS and ICH within 4.5 hours after symptoms onset. Thereafter, we invited authors of selected studies to participate in this work by providing IPD from their cohorts. We used standardized individual subject's data to evaluate the association of GFAP concentrations with stroke subtype, demographics, stroke characteristics and factors related with GFAP measurement. From 4 selected studies, we collected data of 340 patients (236 AIS and 104 ICH). Standardized GFAP blood levels were significantly elevated in ICH compared with those with AIS (median and IQR: 0.84 (0.781-1.24), 0.79 (0.74-0.81); p<0.0001). In both stroke types, GFAP concentrations correlated with baseline stroke severity (r=0.27, p<0.0001; r=0.36, p<0.001; for AIS and ICH, respectively) but no correlation was found regarding time to sampling. Limited data precluded the evaluation of GFAP levels and functional outcome. These findings demonstrate substantially different levels of GFAP in the blood of patients with ICH compared with patients with AIS soon after the event, while no association was found with outcome. In summary, GFAP could be a valuable diagnostic tool to assist in medical decision-making and to optimize management of stroke in the acute setting.
引用
收藏
页码:1379 / 1385
页数:7
相关论文
共 40 条
  • [1] The accuracy of glial fibrillary acidic protein in acute stroke differential diagnosis: A meta-analysis
    Sun, Yi
    Qin, Qin
    Shang, Yan-Jun
    Fang, Chao-Ping
    Zhang, Wei-Wei
    Gu, Ming-Li
    Chen, Yan
    Hu, Zhi-De
    Deng, An-Mei
    SCANDINAVIAN JOURNAL OF CLINICAL & LABORATORY INVESTIGATION, 2013, 73 (08) : 601 - 606
  • [2] Glial fibrillary acidic protein in patients with symptoms of acute stroke. Diagnostic marker of cerebral hemorrhage
    Foerch, C.
    Pfeilschifter, W.
    Zeiner, P.
    Brunkhorst, R.
    NERVENARZT, 2014, 85 (08): : 982 - 989
  • [3] Individual Patient Data Meta-analysis of Hypothermia for Acute Ischaemic Stroke
    Flaherty, Katie
    De Georgia, Michael A.
    Hemmen, Thomas M.
    Kollmar, Rainer
    Krieger, Derk W.
    Lyden, Patrick
    Petersson, Jesper
    Piironen, Katja
    Poli, Sven
    Van de Worp, Bart
    Bath, Philip M.
    STROKE, 2018, 49
  • [4] The diagnostic and prognostic value of glial fibrillary acidic protein in traumatic brain injury: a systematic review and meta-analysis
    Pei, Yunlong
    Tang, Xiaojia
    Zhang, Enpeng
    Lu, Kongye
    Xia, Boming
    Zhang, Jun
    Huang, Yujia
    Zhang, HengZhu
    Dong, Lun
    EUROPEAN JOURNAL OF TRAUMA AND EMERGENCY SURGERY, 2023, 49 (03) : 1235 - 1246
  • [5] Streptokinase in acute ischemic stroke: An individual patient data meta-analysis - The Thrombolysis in Acute Stroke Pooling Project
    Cornu, C
    Boutitie, F
    Candelise, L
    Boissel, JP
    Donnan, GA
    Hommel, M
    Jaillard, A
    Lees, KR
    STROKE, 2000, 31 (07) : 1555 - 1560
  • [6] Continuing or Temporarily Stopping Prestroke Antihypertensive Medication in Acute Stroke An Individual Patient Data Meta-Analysis
    Woodhouse, Lisa J.
    Manning, Lisa
    Potter, John F.
    Berge, Eivind
    Sprigg, Nikola
    Wardlaw, Joanna
    Lees, Kennedy R.
    Bath, Philip M.
    Robinson, Thompson G.
    HYPERTENSION, 2017, 69 (05) : 933 - +
  • [7] Individual patient data meta-analysis of the effects of fluoxetine on functional outcomes after acute stroke
    Mead, Gillian
    Graham, Catriona
    Lundstrom, Erik
    Hankey, Graeme J.
    Hackett, Maree L.
    Billot, Laurent
    Nasman, Per
    Forbes, John
    Dennis, Martin
    INTERNATIONAL JOURNAL OF STROKE, 2024, 19 (07) : 798 - 808
  • [8] Role of glial fibrillary acidic protein as a biomarker in differentiating intracerebral haemorrhage from ischaemic stroke and stroke mimics: a meta-analysis
    Kumar, Amit
    Misra, Shubham
    Yadav, Arun Kumar
    Sagar, Ram
    Verma, Bhawna
    Grover, Ashoo
    Prasad, Kameshwar
    BIOMARKERS, 2020, 25 (01) : 1 - 8
  • [9] Antiplatelet Therapy After Noncardioembolic Stroke An Individual Patient Data Network Meta-Analysis
    Greving, Jacoba P.
    Diener, Hans-Christoph
    Reitsma, Johannes B.
    Bath, Philip M.
    Csiba, Laszlo
    Hacke, Werner
    Kappelle, L. Jaap
    Koudstaal, Peter J.
    Leys, Didier
    Mas, Jean-Louis
    Sacco, Ralph L.
    Algra, Ale
    STROKE, 2019, 50 (07) : 1812 - 1818
  • [10] Investigation of glial fibrillary acidic protein (GFAP) in body fluids as a potential biomarker for glioma: a systematic review and meta-analysis
    van Asperen, Jessy, V
    Fedorushkova, Daria M.
    Robe, Pierre A. J. T.
    Hol, Elly M.
    BIOMARKERS, 2022, 27 (01) : 1 - 12