• Yinglei Li, Ning Li, Lingyun Xi, and Litao Li.
• Department of Neurology, Hebei Medical University, Shijiazhuang, China.
• Arch Med Sci. 2024 Jan 1; 20 (4): 114311521143-1152.

IntroductionThe present study focused on developing a nomogram model to predict the 3-month survival of patients with acute ischemic stroke (AIS) receiving intravenous thrombolysis with tissue plasminogen activator (tPA).Material And MethodsA total of 709 patients were enrolled in the present study, including 496 patients in the training set and 213 patients in the validation set. All data were statistically analyzed using R software. We applied LASSO regression analysis to construct nomograms by screening statistically significant predictors from all variables.The model discrimination was evaluated based on the area under the receiver operating characteristic curve (AUC-ROC).ResultsLASSO regression analysis was conducted for all variables, which revealed BNP, DNT, HCY, HDL, MHR, NHR and post-thrombolysis NIHSS as independent predictors of adverse outcomes at 3 months after intravenous thrombolysis. Accordingly, these seven factors were incorporated in the nominated BDH2-MN2 nomogram. The resulting AUC-ROC values determined for the training and validation sets were 0.937 (95% CI: 0.822-0.954) and 0.898 (95% CI: 0.748-0.921), respectively.ConclusionsA robust BDH2-MN2 (BNP, DNT, HCY, HDL, MHR, NHR and post-thrombolysis NIHSS) nomogram model was successfully developed and validated. The developed nomogram enables prediction of adverse outcomes of individual AIS patients receiving intravenous thrombolysis with alteplase for 3 months.Copyright: © 2024 Termedia & Banach.

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