Index score-based prediction model for MIS (Minor Ischemic Stroke) patient

Abstract

The invention discloses an index score-based prediction model for an MIS (Minor Ischemic Stroke) patient. The index score-based prediction model for the MIS patient is characterized by comprising thefollowing steps of Step 1, collecting and preprocessing clinical data, and constructing a grouping standard of the MIS patient through the collected and preprocessed clinical data; Step 2, collecting,recording and storing basic data; Step 3, performing SVE condition follow-up visit on personnel from whom basic data is collected; and Step 4, counting and constructing a prediction model: building aprediction model by a multi-factor Logistic regression method, and selecting optimal model parameters according to a minimum Akaike pool information standard. The index score-based prediction model for the MIS patient provided by the invention has the advantages that the problem of poor prognosis accuracy when a cerebral ischemic stroke model is used for predicting the MIS patient is solved; through the prediction model, the SVE occurrence rate is calculated; clinicians can be guided to perform risk grading on the MIS patient; grading management is used for the patients with different risks;and the occurrence of SVE complications is prevented.

Description

technical field [0001] The invention relates to the medical field, and more specifically, it relates to a predictive model for patients with mild ischemic stroke based on index scores. Background technique [0002] There are about 3 million new strokes in China every year, about 30% of which are mild ischemic stroke (MIS, minorischemic stroke). The NIHSS scores of MIS patients are low (all ≤ 3). Due to their mild symptoms, they are easily overlooked, resulting in high mortality and disability rates. MIS is a disease that threatens human health and life. Therefore, in the early stages of clinical management, it is very important to be able to promptly screen out patients with MIS who are at risk of poor prognosis. [0003] Many factors are closely related to the occurrence of subsequent vascular events (SVE, subsequent vascular events) in MIS. Studies have shown that the poor prognosis of MIS is related to advanced age, female sex, diabetes and positive MRI diffusion-weigh...

AI Technical Summary

Problems solved by technology

Although the NIHSS score is an appropriate tool for assessing stroke severity, it is flawed for patients with MIS

The NIHSS score fails to capture some important deficits that may affect patients' functional outcomes, such as hand strength and dexterity, gait, and subtle nondominant hemispheric and executive function cognitive abnormalities

Moreover, the deficits in MIS patients are often subtle and may go undetected due to the lack of obvious lesions

It is precisely because MIS patients have mild symptoms and are easy to be ignored, the prognosis of MIS patients may not be accurate enough to predict the prognosis of MIS patients using the model of ischemic stroke

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