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Prediction of acute ischemic stroke incidence rate by serum uric acid level for low-risk population in men

Authors :
chunhua Bian
Hongmei Xue
Ying Xie
Xiaopeng Zhao
Yuwei Ren
Hongzhen Du
Shiming Song
Haiyue Wang
Yijing Zhai
Huanyu Hu
Bin Luo
Zengning Li
Publication Year :
2022
Publisher :
Research Square Platform LLC, 2022.

Abstract

Background We aimed to investigate the relationship between serum uric acid (SUA) and the severity of acute ischemic stroke (AIS) patients and the ability of different SUA levels to predict the risk of developing AIS in patients. Methods This hospital-based case-control study comprised 422 study subjects. Questionnaires and serological tests were used to obtain subgroups of study subjects (160 patients with AIS, 169 low-risk control and 93 high-risk control) and biochemical indicators. Random forest algorithms and logistic regression were used to obtain factors influencing AIS. Receiver operating characteristic (ROC) curves were used to predict the risk and severity of SUA on the occurrence of AIS in study subjects. Result After removing the known high-risk factors of AIS, the influence of SUA on the incidence rate of AIS ranked fifth in the total population, eighth in the male population, and tenth in the female population. Multiple logistic regression results revealed that in the male and female population, the risk of AIS was higher in high-risk controls with higher SUA levels than in low-risk controls. (male: p

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........9aa7b015e1276ed541bb58006ddead10
Full Text :
https://doi.org/10.21203/rs.3.rs-1904802/v1