Carotid intima media thickness measurements coupled with stroke severity strongly predict short-term outcome in patients with acute ischemic stroke: a machine learning study

Acute ischemic stroke (IS) is one of the leading causes of morbidity, functional disability and mortality worldwide. The objective was to evaluate IS risk factors and imaging variables as predictors of short-term disability and mortality in IS. Consecutive 106 IS patients were enrolled. We examined...

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Bibliographic Details
Published in:Metabolic brain disease 2021-10, Vol.36 (7), p.1747-1761
Main Authors: Lehmann, Ana Lucia Cruz Fürstenberger, Alfieri, Daniela Frizon, de Araújo, Maria Caroline Martins, Trevisani, Emanuelle Roberto, Nagao, Maisa Rocha, Pesente, Francisco Spessatto, Gelinski, Jair Roberto, de Freitas, Leonardo Bodner, Flauzino, Tamires, Lehmann, Márcio Francisco, Lozovoy, Marcell Alysson Batisti, Breganó, José Wander, Simão, Andréa Name Colado, Maes, Michael, Reiche, Edna Maria Vissoci
Format: Article
Language:English
Subjects:
Accuracy
Age factors
Arteriosclerosis
Atherosclerosis
Biochemistry
Biomedical and Life Sciences
Biomedicine
Body mass
Body mass index
Body size
Brain Ischemia - diagnostic imaging
Carotid Intima-Media Thickness
Diabetes mellitus
Diabetes mellitus (non-insulin dependent)
Diabetes Mellitus, Type 2 - complications
Doppler effect
Humans
Ischemia
Ischemic Stroke - diagnostic imaging
Learning algorithms
Machine Learning
Metabolic Diseases
Morbidity
Mortality
Neural networks
Neurology
Neurosciences
Oncology
Original Article
Patients
Risk analysis
Risk Factors
Sensitivity
Severity of Illness Index
Stenosis
Stroke
Stroke - diagnostic imaging
Thickness measurement
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Summary:Acute ischemic stroke (IS) is one of the leading causes of morbidity, functional disability and mortality worldwide. The objective was to evaluate IS risk factors and imaging variables as predictors of short-term disability and mortality in IS. Consecutive 106 IS patients were enrolled. We examined the accuracy of IS severity using the National Institutes of Health Stroke Scale (NIHSS), carotid intima-media thickness (cIMT) and carotid stenosis (both assessed using ultrasonography with doppler) predicting IS outcome assessed with the modified Rankin scale (mRS) three months after hospital admission. Poor prognosis (mRS ≥ 3) at three months was predicted by carotid stenosis (≥ 50%), type 2 diabetes mellitus and NIHSS with an accuracy of 85.2% (sensitivity: 90.2%; specificity: 81.8%). The mRS score at three months was strongly predicted by NIHSS (β = 0.709, p 
ISSN:0885-7490
1573-7365
DOI:10.1007/s11011-021-00784-7