Construction of a Joint Prediction Model for the Occurrence of Ischemic Stroke and Acute Myocardial Infarction Based on Bioinformatic Analysis

Ischemic stroke (IS) has imposed significant threat to both middle-aged and elderly people worldwide. Acute myocardial infarction (AMI) is a rare but serious complication following IS, which can further increase patient disability and mortality rates. With the development of intravenous thrombolysis...

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Bibliographic Details
Published in:Disease markers 2022, Vol.2022, p.5967131-14
Main Authors: Ma, Zhaolei, Chu, Lan, Liu, Chun-Feng, Liu, Wupeng, Wei, Jing
Format: Article
Language:English
Subjects:
Aged
Cardiovascular disease
Cardiovascular system
Cerebral infarction
Computational Biology
Datasets
Disability
Etiology
Fatalities
Gene expression
Heart attacks
Humans
Interleukin 6
Interleukin 6 receptors
Internet resources
Intravenous administration
Ischemia
Ischemic Stroke - genetics
Janus kinase
Janus kinase 2
Middle Aged
Model accuracy
Mortality
Myocardial infarction
Myocardial Infarction - complications
Pathogenesis
Patients
Prediction models
Predictions
Prognosis
Proteins
Risk Factors
Stroke
Stroke - epidemiology
Stroke - genetics
Thrombolysis
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Summary:Ischemic stroke (IS) has imposed significant threat to both middle-aged and elderly people worldwide. Acute myocardial infarction (AMI) is a rare but serious complication following IS, which can further increase patient disability and mortality rates. With the development of intravenous thrombolysis and endovascular treatment, the prognosis of IS has been greatly improved. However, the pathogenesis of IS complicated with AMI is still unclear. To fill this gap, this work uses bioinformatic analysis, where IS and AMI datasets were combined for differential gene analysis, and then, a ROC prediction model for target gene analysis was constructed. It is found that OSM gene has the highest prediction accuracy (AUC=0.793), followed by IL6ST, IL6, JAK1, IL6R, and JAK2 genes. Joint prediction model showed higher accuracy in predicting the outcome of control and case (AUC=0.918). The etiology of ischemic stroke and acute myocardial infarction is complicated. Their cooccurring pathological mechanisms and the conversion between the two diseases could not be explained by a single gene. Therefore, the joint prediction model in this work can provide a better prediction accuracy for research purpose.
ISSN:0278-0240
1875-8630
1875-8630
DOI:10.1155/2022/5967131