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Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
Published on: January 18, 2018
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Nomogram Model Development and Validation for Predicting 90-Day Functional Outcomes in Acute Ischaemic Stroke
Guizhi Zhang1,2,3,4, Bo Jiang5, Xiang Li
1Jinzhou Medical University, Jinzhou, Liaoning, China.
Summary
A new nomogram model accurately predicts 90-day functional outcomes for acute ischaemic stroke (AIS) patients undergoing endovascular therapy (EVT). This tool aids personalized treatment decisions for better patient prognosis.
Area of Science:
- Neurology
- Radiology
- Biostatistics
Background:
- Acute ischaemic stroke (AIS) poses a significant health challenge.
- Endovascular therapy (EVT) is a crucial treatment for AIS.
- Predicting functional outcomes post-EVT is vital for patient management.
Purpose of the Study:
- To develop and validate a nomogram model for predicting 90-day functional prognosis in AIS patients after EVT.
- To identify independent prognostic factors influencing functional outcomes.
Main Methods:
- Retrospective analysis of AIS patients who underwent EVT.
- Data split into training (70%) and validation (30%) sets.
- LASSO logistic regression and multivariate logistic regression used to identify predictors.
- Nomogram constructed based on regression coefficients.
Main Results:
- Key predictors identified include ICH-24h-PO, THUAS, HSI, NLR, age, gender, and ASPECTS.
- The nomogram demonstrated strong discriminative ability with AUCs of 0.889 (training) and 0.878 (validation).
- Calibration plots, Hosmer-Lemeshow tests, and Brier scores confirmed model reliability.
Conclusions:
- A robust nomogram model was developed for predicting 90-day functional outcomes in AIS patients post-EVT.
- The model integrates multi-dimensional data for personalized decision-making.
- This tool offers promise for optimizing patient outcomes.
