4.6 Article

A New Nomogram for Predicting the Risk of Intracranial Hemorrhage in Acute Ischemic Stroke Patients After Intravenous Thrombolysis

Journal

FRONTIERS IN NEUROLOGY
Volume 13, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fneur.2022.774654

Keywords

acute ischemic stroke; intravenous thrombolysis; intracranial hemorrhage; nomogram; predictive model

Funding

  1. National Natural Science Foundation of China [81671167, 81971121, 81801150, 82171316]
  2. Science and Technology Planning Project of Guangdong Province, China [2017A020215049, 2019A050513005]
  3. Natural Science Foundation of Guangdong Province [2018A0303130182, 2020A1515010279]
  4. Postdoctoral Research Foundation of China [2018M643370, 2021M701419]
  5. Guangzhou Science and Technology Planning Project [201508020004]
  6. Technology and People's Livelihood Major Project of Guangzhou [2014Y2-00505]
  7. Fundamental Research Funds for the Central Universities [21621102]

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A new nomogram was developed and validated to predict the risk of intracranial hemorrhage in patients with acute ischemic stroke after intravenous thrombolysis. The nomogram performed well in both the training and testing sets, showing higher predictive accuracy compared to other existing scoring systems. This new nomogram has the potential to be clinically useful for predicting the risk of intracranial hemorrhage in patients after intravenous thrombolysis.
BackgroundWe aimed to develop and validate a new nomogram for predicting the risk of intracranial hemorrhage (ICH) in patients with acute ischemic stroke (AIS) after intravenous thrombolysis (IVT). MethodsA retrospective study enrolled 553 patients with AIS treated with IVT. The patients were randomly divided into two cohorts: the training set (70%, n = 387) and the testing set (30%, n = 166). The factors in the predictive nomogram were filtered using multivariable logistic regression analysis. The performance of the nomogram was assessed based on the area under the receiver operating characteristic curve (AUC-ROC), calibration plots, and decision curve analysis (DCA). ResultsAfter multivariable logistic regression analysis, certain factors, such as smoking, National Institutes of Health of Stroke Scale (NIHSS) score, blood urea nitrogen-to-creatinine ratio (BUN/Cr), and neutrophil-to-lymphocyte ratio (NLR), were found to be independent predictors of ICH and were used to construct a nomogram. The AUC-ROC values of the nomogram were 0.887 (95% CI: 0.842-0.933) and 0.776 (95% CI: 0.681-0.872) in the training and testing sets, respectively. The AUC-ROC of the nomogram was higher than that of the Multicenter Stroke Survey (MSS), Glucose, Race, Age, Sex, Systolic blood Pressure, and Severity of stroke (GRASPS), and stroke prognostication using age and NIH Stroke Scale-100 positive index (SPAN-100) scores for predicting ICH in both the training and testing sets (p < 0.05). The calibration plot demonstrated good agreement in both the training and testing sets. DCA indicated that the nomogram was clinically useful. ConclusionsThe new nomogram, which included smoking, NIHSS, BUN/Cr, and NLR as variables, had the potential for predicting the risk of ICH in patients with AIS after IVT.

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