2024
DOI: 10.1007/s10072-024-07329-7
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Development and validation of outcome prediction model for reperfusion therapy in acute ischemic stroke using nomogram and machine learning

Qianwen Wang,
Jiawen Yin,
Lei Xu
et al.
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Cited by 4 publications
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“…Previous studies identified SBP before reperfusion therapy as a key prognostic factor in AIS patients undergoing intravenous thrombolysis or EVT treatment. They utilized logistic regression algorithm to construct a predictive model for 3-month functional outcomes, achieving an AUC of 0.865 in development cohort and an AUC of 0.779 in external cohort ( 26 ). In this study, predictive models of functional outcome were constructed based on BP rhythm during different time periods, primarily comparing the relationships between daytime BP, nighttime BP, and 24-h average BP and prognosis.…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies identified SBP before reperfusion therapy as a key prognostic factor in AIS patients undergoing intravenous thrombolysis or EVT treatment. They utilized logistic regression algorithm to construct a predictive model for 3-month functional outcomes, achieving an AUC of 0.865 in development cohort and an AUC of 0.779 in external cohort ( 26 ). In this study, predictive models of functional outcome were constructed based on BP rhythm during different time periods, primarily comparing the relationships between daytime BP, nighttime BP, and 24-h average BP and prognosis.…”
Section: Discussionmentioning
confidence: 99%