Abstract

BackgroundA reliable scoring tool to detect the risk of intracerebral hemorrhage (ICH) after intravenous thrombolysis for ischemic stroke is warranted. The present study was designed to develop and validate a new nomogram for individualized prediction of the probability of hemorrhagic transformation (HT) in patients treated with intravenous (IV) recombinant tissue plasminogen activator (rt-PA).MethodsWe enrolled patients who suffered from acute ischemic stroke (AIS) with IV rt-PA treatment in our emergency green channel between August 2016 and July 2018. The main outcome was defined as any type of intracerebral hemorrhage according to the European Cooperative Acute Stroke Study II (ECASS II). All patients were randomly divided into two cohorts: the primary cohort and the validation cohort. On the basis of multivariate logistic model, the predictive nomogram was generated. The performance of the nomogram was evaluated by Harrell’s concordance index (C-index) and calibration plot.ResultsA total of 194 patients with complete data were enrolled, of whom 131 comprised the primary cohort and 63 comprised the validation cohort, with HT rate 12.2, 9.5% respectively. The score of chronic disease scale (CDS), the global burden of cerebral small vascular disease (CSVD), National Institutes of Health Stroke Scale (NIHSS) score ≥ 13, and onset-to-treatment time (OTT) ≥ 180 were detected important determinants of ICH and included to construct the nomogram. The nomogram derived from the primary cohort for HT had C- Statistics of 0.9562 and the calibration plot revealed generally fit in predicting the risk of HT. Furthermore, we made a comparison between our new nomogram and several other risk-assessed scales for HT with receiver operating characteristic (ROC) curve analysis, and the results showed the nomogram model gave an area under curve of 0.9562 (95%CI, 0.9221–0.9904, P < 0.01) greater than HAT (Hemorrhage After Thrombolysis), SEDAN (blood Sugar, Early infarct and hyper Dense cerebral artery sign on non-contrast computed tomography, Age, and NIHSS) and SPAN-100 (Stroke Prognostication using Age and NIHSS) scores.ConclusionsThis proposed nomogram based on the score of CDS, the global burden of CSVD, NIHSS score ≥ 13, and OTT ≥ 180 gives rise to a more accurate and more comprehensive prediction for HT in patients with ischemic stroke receiving IV rt-PA treatment.

Highlights

  • A reliable scoring tool to detect the risk of intracerebral hemorrhage (ICH) after intravenous thrombolysis for ischemic stroke is warranted

  • Wu et al BMC Neurology (2020) 20:426 (Continued from previous page). This proposed nomogram based on the score of chronic disease scale (CDS), the global burden of Cerebral small vessel disease (CSVD), National Institutes of Health Stroke Scale (NIHSS) score ≥ 13, and onset-to-treatment time (OTT) ≥ 180 gives rise to a more accurate and more comprehensive prediction for hemorrhagic transformation (HT) in patients with ischemic stroke receiving IV recombinant tissue plasminogen activator (rt-PA) treatment

  • We aimed to develop and validate a new nomogram including the total burden score of CSVD and other related factors to predict the probability of HT for individual stroke patients with IV rt-PA treatment who would need more intensive monitoring and the extraordinary alterness

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Summary

Introduction

A reliable scoring tool to detect the risk of intracerebral hemorrhage (ICH) after intravenous thrombolysis for ischemic stroke is warranted. Intravenous thrombolysis (IVT) remains the standard treatment for patients with acute ischemic stroke (AIS) within 4.5 h after onset [1] and can improve clinical prognosis and reduce mortality [2]. It may cause serious complications, especially intracerebral hemorrhage transformation (HT), which leads to deteriorations of clinical neurological function and poor prognosis, limiting more widespread use of IVT. The total CSVD burden score can capture the overall effects of CSVD better than just one or two individual features separately It has been applied in several fields including the cognitive function, stroke types and vascular risk factors [6,7,8]. A graphical statistical instrument, has been generally performed in medical decisionmaking or other specialties by calculating the continous probability of a particular outcome for an individual patient [15,16,17]

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