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The value of mobile magnetic resonance imaging in early warning for stroke: A prospective case-control study

AIMS: To evaluate the predictive value of mobile magnetic resonance imaging (MRI) in screening stroke. METHODS: This was a prospective case-control study performed on healthy residents over 40 years old in remote rural areas of northern China between May 2019 and May 2020. Multivariate logistic regr...

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Autores principales: Liu, Miaomiao, Li, Qingyang, Chen, Guoqiang, Su, Ning, Zhou, Maorong, Liu, Xiaolin, Sun, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411978/
https://www.ncbi.nlm.nih.gov/pubmed/36033625
http://dx.doi.org/10.3389/fnins.2022.975217
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author Liu, Miaomiao
Li, Qingyang
Chen, Guoqiang
Su, Ning
Zhou, Maorong
Liu, Xiaolin
Sun, Kai
author_facet Liu, Miaomiao
Li, Qingyang
Chen, Guoqiang
Su, Ning
Zhou, Maorong
Liu, Xiaolin
Sun, Kai
author_sort Liu, Miaomiao
collection PubMed
description AIMS: To evaluate the predictive value of mobile magnetic resonance imaging (MRI) in screening stroke. METHODS: This was a prospective case-control study performed on healthy residents over 40 years old in remote rural areas of northern China between May 2019 and May 2020. Multivariate logistic regression and receiver operator characteristic curve (ROC) analysis were used to evaluate the screening model. RESULTS: A total of 1,224 patients (500 [40.8%] men) enrolled, including 56 patients who suffered from stroke (aged 64.05 ± 7.27). The individuals who developed stroke were significantly older (P < 0.001), had a significantly higher occurrence of heart disease (P = 0.015), diabetes (P = 0.005), dyslipidemia (P = 0.009), and significantly increased waist circumference (P = 0.02), systolic blood pressure (SBP) (P = 0.003), glycosylated hemoglobin (HbA1c) level (P = 0.007), triglyceride (TG) level (P = 0.025), low density lipoprotein cholesterol (LDL-c) level (P = 0.04), and homocysteine (HCY) level (P < 0.001). Multivariate logistic regression analysis showed that age (OR = 1.055, 95% CI: 1.017–1.094, P = 0.004), HCY (OR = 1.029, 95% CI: 1.012–1.047, P = 0.001) and mobile MRI (OR = 4.539, 95% CI: 1.726–11.939, P = 0.002) were independently associated with stroke. The area under the curve (AUC) of the combined model including national screening criteria, mobile MRI results, and stroke risk factors was 0.786 (95% CI: 0.721–0.851), with a sensitivity of 69.6% and specificity of 80.4%. CONCLUSION: Mobile MRI can be used as a simple and easy means to screen stroke.
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spelling pubmed-94119782022-08-27 The value of mobile magnetic resonance imaging in early warning for stroke: A prospective case-control study Liu, Miaomiao Li, Qingyang Chen, Guoqiang Su, Ning Zhou, Maorong Liu, Xiaolin Sun, Kai Front Neurosci Neuroscience AIMS: To evaluate the predictive value of mobile magnetic resonance imaging (MRI) in screening stroke. METHODS: This was a prospective case-control study performed on healthy residents over 40 years old in remote rural areas of northern China between May 2019 and May 2020. Multivariate logistic regression and receiver operator characteristic curve (ROC) analysis were used to evaluate the screening model. RESULTS: A total of 1,224 patients (500 [40.8%] men) enrolled, including 56 patients who suffered from stroke (aged 64.05 ± 7.27). The individuals who developed stroke were significantly older (P < 0.001), had a significantly higher occurrence of heart disease (P = 0.015), diabetes (P = 0.005), dyslipidemia (P = 0.009), and significantly increased waist circumference (P = 0.02), systolic blood pressure (SBP) (P = 0.003), glycosylated hemoglobin (HbA1c) level (P = 0.007), triglyceride (TG) level (P = 0.025), low density lipoprotein cholesterol (LDL-c) level (P = 0.04), and homocysteine (HCY) level (P < 0.001). Multivariate logistic regression analysis showed that age (OR = 1.055, 95% CI: 1.017–1.094, P = 0.004), HCY (OR = 1.029, 95% CI: 1.012–1.047, P = 0.001) and mobile MRI (OR = 4.539, 95% CI: 1.726–11.939, P = 0.002) were independently associated with stroke. The area under the curve (AUC) of the combined model including national screening criteria, mobile MRI results, and stroke risk factors was 0.786 (95% CI: 0.721–0.851), with a sensitivity of 69.6% and specificity of 80.4%. CONCLUSION: Mobile MRI can be used as a simple and easy means to screen stroke. Frontiers Media S.A. 2022-08-12 /pmc/articles/PMC9411978/ /pubmed/36033625 http://dx.doi.org/10.3389/fnins.2022.975217 Text en Copyright © 2022 Liu, Li, Chen, Su, Zhou, Liu and Sun. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Liu, Miaomiao
Li, Qingyang
Chen, Guoqiang
Su, Ning
Zhou, Maorong
Liu, Xiaolin
Sun, Kai
The value of mobile magnetic resonance imaging in early warning for stroke: A prospective case-control study
title The value of mobile magnetic resonance imaging in early warning for stroke: A prospective case-control study
title_full The value of mobile magnetic resonance imaging in early warning for stroke: A prospective case-control study
title_fullStr The value of mobile magnetic resonance imaging in early warning for stroke: A prospective case-control study
title_full_unstemmed The value of mobile magnetic resonance imaging in early warning for stroke: A prospective case-control study
title_short The value of mobile magnetic resonance imaging in early warning for stroke: A prospective case-control study
title_sort value of mobile magnetic resonance imaging in early warning for stroke: a prospective case-control study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411978/
https://www.ncbi.nlm.nih.gov/pubmed/36033625
http://dx.doi.org/10.3389/fnins.2022.975217
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