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NEUROLOGY / CLINICAL RESEARCH
Predictive value of the BDH2–MN2 nomogram model for prognosis at 3 months after receiving intravenous thrombolysis in patients with acute ischemic stroke
1
Department of Neurology, Hebei Medical University, Shijiazhuang, China
2
Department of Emergency Medicine, Baoding No. 1 Central Hospital, Baoding, China
3
Department of Neurology, Affiliated Hospital of Hebei University, Baoding, China
4
Laboratory Medicine, Chinese People’s Liberation Army 82nd Army Group Hospital, Baoding, China
5
Department of Neurology, Hebei General Hospital, Shijiazhuang, China
Submission date: 2023-10-17
Final revision date: 2023-12-03
Acceptance date: 2023-12-11
Online publication date: 2024-05-13
Publication date: 2024-08-04
Corresponding author
Arch Med Sci 2024;20(4):1143-1152
KEYWORDS
TOPICS
ABSTRACT
Introduction:
The 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 methods:
A 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).
Results:
LASSO 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.
Conclusions:
A 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.
The 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 methods:
A 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).
Results:
LASSO 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.
Conclusions:
A 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.
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