scholarly journals Diagnostic performance of circulating MicroRNAs in acute ischemic stroke

Medicine ◽  
2020 ◽  
Vol 99 (40) ◽  
pp. e22353
Author(s):  
Wenzhai Cao ◽  
Ting Zhang ◽  
Lizhen Wang ◽  
Jing Fu ◽  
Hongchuan Jin
2019 ◽  
Vol 61 (7) ◽  
pp. 964-972 ◽  
Author(s):  
Chong Hyun Suh ◽  
Seung Chai Jung ◽  
Se Jin Cho ◽  
Dong-Cheol Woo ◽  
Woo Yong Oh ◽  
...  

Background Hemorrhagic transformation increases mortality and morbidity in patients with acute ischemic stroke. Purpose The purpose of this study is to evaluate the diagnostic performance of magnetic resonance imaging (MRI) for prediction of hemorrhagic transformation in acute ischemic stroke. Material and Methods A systematic literature search of MEDLINE and EMBASE was performed up to 27 July 2018, including the search terms “acute ischemic stroke,” “hemorrhagic transformation,” and “MRI.” Studies evaluating the diagnostic performance of MRI for prediction of hemorrhagic transformation in acute ischemic stroke were included. Diagnostic meta-analysis was conducted with a bivariate random-effects model to calculate the pooled sensitivity and specificity. Subgroup analysis was performed including studies using advanced MRI techniques including perfusion-weighted imaging, diffusion-weighted imaging, and susceptibility-weighted imaging. Results Nine original articles with 665 patients were included. Hemorrhagic transformation is associated with high permeability, hypoperfusion, low apparent diffusion coefficient (ADC), and FLAIR hyperintensity. The pooled sensitivity was 82% (95% confidence interval [CI] 61–93) and the pooled specificity was 79% (95% CI 71–85). The area under the hierarchical summary receiver operating characteristic curve was 0.85 (95% CI 0.82–0.88). Although study heterogeneity was present in both sensitivity (I2=67.96%) and specificity (I2=78.93%), a threshold effect was confirmed. Studies using advanced MRI showed sensitivity of 92% (95% CI 70–98) and specificity of 78% (95% CI 65–87) to conventional MRI. Conclusion MRI may show moderate diagnostic performance for predicting hemorrhage in acute ischemic stroke although the clinical significance of this hemorrhage is somewhat uncertain.


2014 ◽  
Vol 35 (3) ◽  
pp. 433-447 ◽  
Author(s):  
Pengfei Li ◽  
Fengmeng Teng ◽  
Feng Gao ◽  
Mingshun Zhang ◽  
Jinping Wu ◽  
...  

Open Medicine ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. 324-330 ◽  
Author(s):  
Yaru Liang ◽  
Qiguang Li ◽  
Peisong Chen ◽  
Lingqing Xu ◽  
Jiehua Li

AbstractObjectiveTo investigate the predictive value of clinical variables on the poor prognosis at 90-day follow-up from acute stroke onset, and compare the diagnostic performance between back propagation artificial neural networks (BP ANNs) and Logistic regression (LR) models in predicting the prognosis.MethodsWe studied the association between clinical variables and the functional recovery of 435 acute ischemic stroke patients. The patients were divided into 2 groups according to modified Rankin Scale scores evaluated on the 90th day after stroke onset. Both BP ANNs and LR models were established for predicting the poor outcome and their diagnostic performance were compared by receiver operating curve.ResultsAge, free fatty acid, homocysteine and alkaline phosphatase were closely related with the poor outcome in acute ischemic stroke patients and finally enrolled in models. The accuracy, sensitivity and specificity of BP ANNs were 80.15%, 75.64% and 82.07% respectively. For the LR model, the accuracy, sensitivity and specificity was 70.61%, 88.46% and 63.04% respectively. The area under the ROC curve of the BP ANNs and LR model was 0.881and 0.809.ConclusionsBoth BP ANNs and LR model were promising for the prediction of poor outcome by combining age, free fatty acid, homocysteine and alkaline phosphatase. However, BP ANNs model showed better performance than LR model in predicting the prognosis.


Author(s):  
Brittany Dewdney ◽  
Alexandra Trollope ◽  
Joseph Moxon ◽  
Diana Thomas Manapurathe ◽  
Erik Biros ◽  
...  

2021 ◽  
Vol 9 (1) ◽  
pp. 98-109
Author(s):  
Arman Caesar Ramadhan ◽  
Nur Fatimah Azzahra Latif ◽  
Muhammad Ainul Yaqin

ABSTRAK Pendahuluan: Acute ischemic stroke (AIS) merupakan jenis stroke dengan insidensi tertinggi utamanya pada kelompok usia lanjut. Saat ini, neuroimaging menjadi modalitas utama dalam penegakan diagnosis stroke, akan tetapi masih memiliki beberapa kelemahan, seperti ketersediaan yang terbatas, biaya yang mahal, waktu yang cukup lama untuk prosedurnya, serta pada beberapa kasus ditemukan hasil interpretasi gambar yang sering tidak konsisten pada stroke fase awal. Sehingga diperlukan alat diagnostik yang cepat, tepat, dan sederhana untuk diagnosis AIS. Saat ini, tipe tertentu dari circulating microRNAs (miRNAs) ditemukan dapat menjadi biomarker untuk diagnostik AIS. Tujuan kajian ini untuk melakukan profiling sekaligus mengevaluasi nilai diagnostik circulating miRNA pada pasien AIS dibandingkan dengan pasien hemorrhagic stroke (HS) dan individu sehat. Metode: Tinjauan sistematis ini mengumpulkan literatur dari PubMed, Science Direct, Clinical Trial.gov, Directory of Open Access Journal (DOAJ), dan Epistemonikos menggunakan metode standar dengan pedoman cochrane untuk tinjauan sistematis guna mengevaluasi nilai diagnostik dari circulating miRNA sebagai biomarker untuk AIS berdasarkan sensitivitas, spesifitas, dan nilai Area Under the Curve (AUC). Pembahasan: Dari 870 studi, 15 studi sesuai dengan kriteria inklusi. Dari studi yang ditinjau menunjukkan bahwa hsa-miR-106b-5P dan kombinasi miR-125a-5p + miR-125b-5p + miR-143-3p sebagai jenis miRNA yang paling efektif menjadi biomarker dalam mendiagnosis AIS dan membedakannya dengan individu sehat. Sedangkan miR-124-3p merupakan jenis miRNA yang paling efektif menjadi biomarker untuk membedakan AIS dan HS. Simpulan: Circulating miRNA yang diisolasi dari plasma, serum, dan darah manusia dapat digunakan sebagai biomarker diagnostik untuk AIS.   Kata Kunci: acute ischemic stroke, circulating microRNAs, diagnostik  


VASA ◽  
2014 ◽  
Vol 43 (1) ◽  
pp. 55-61 ◽  
Author(s):  
Konstantinos Tziomalos ◽  
Vasilios Giampatzis ◽  
Stella Bouziana ◽  
Athinodoros Pavlidis ◽  
Marianna Spanou ◽  
...  

Background: Peripheral arterial disease (PAD) is frequently present in patients with acute ischemic stroke. However, there are limited data regarding the association between ankle brachial index (ABI) ≤ 0.90 (which is diagnostic of PAD) or > 1.40 (suggesting calcified arteries) and the severity of stroke and in-hospital outcome in this population. We aimed to evaluate these associations in patients with acute ischemic stroke. Patients and methods: We prospectively studied 342 consecutive patients admitted for acute ischemic stroke (37.4 % males, mean age 78.8 ± 6.4 years). The severity of stroke was assessed with the National Institutes of Health Stroke Scale (NIHSS)and the modified Rankin scale (mRS) at admission. The outcome was assessed with the mRS and dependency (mRS 2 - 5) at discharge and in-hospital mortality. Results: An ABI ≤ 0.90 was present in 24.6 % of the patients whereas 68.1 % had ABI 0.91 - 1.40 and 7.3 % had ABI > 1.40. At admission, the NIHSS score did not differ between the 3 groups (10.4 ± 10.6, 8.3 ± 9.3 and 9.3 ± 9.4, respectively). The mRS score was also comparable in the 3 groups (3.6 ± 1.7, 3.1 ± 1.8 and 3.5 ± 2.3, respectively). At discharge, the mRS score did not differ between the 3 groups (2.9 ± 2.2, 2.3 ± 2.1 and 2.7 ± 2.5, respectively) and dependency rates were also comparable (59.5, 47.6 and 53.3 %, respectively). In-hospital mortality was almost two-times higher in patients with ABI ≤ 0.90 than in patients with ABI 0.91 - 1.40 or > 1.40 but this difference was not significant (10.9, 6.6 and 6.3 %, respectively). Conclusions: An ABI ≤ 0.90 or > 1.40 does not appear to be associated with more severe stroke or worse in-hospital outcome in patients with acute ischemic stroke.


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