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急性桥脑梗死患者血浆动脉粥样硬化指数与90天临床预后的相关性:一项单中心研究
Authors Cheng Y, Wang Q, Sun C, Cui D
Received 31 March 2024
Accepted for publication 10 July 2024
Published 12 August 2024 Volume 2024:17 Pages 3453—3463
DOI https://doi.org/10.2147/IJGM.S471545
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Redoy Ranjan
Yuan Cheng,1 Qingqing Wang,2 Chuanxi Sun,3 Di Cui1
1Fuyang Medical College, Fuyang Normal University, Fuyang, Anhui, People’s Republic of China; 2Department of Neurology, The Affiliated Fuyang People’s Hospital of Anhui Medical University, Fuyang, Anhui, People’s Republic of China; 3Clinical Laboratory, The Second Hospital Affiliated to Fuyang Normal University, Fuyang, Anhui, People’s Republic of China
Correspondence: Di Cui, Fuyang Medical College, Fuyang Normal University, Fuyang, Anhui, 236000, People’s Republic of China, Email fycuidi1990@163.com
Background: The atherogenic index of plasma (AIP) is a biomarker for coronary heart disease, atherosclerosis, and metabolic syndrome. However, the mechanism of its action in the acute phase of acute pontine infarction remains unclear. This study investigated the association between the AIP and the short-term prognosis of acute pontine infarction.
Methods: Clinical and laboratory index data of patients admitted to the hospital for acute pontine infarction were continuously included, and these patients were followed up for 90 days after disease onset. The modified Rankin Scale (mRS) was used to evaluate the 90-day clinical outcomes of the patients, and an mRS score ≥ 3 was used to define adverse functional outcomes. Univariate analysis was used to detect differences in the indicators between the two groups. Patients were then divided into three groups according to the quantile of the AIP (T1: AIP ≤ 0.029; T2, 0.029 < AIP ≤ 0.248; T3, AIP > 0.248), and a binary logistic regression model was used to assess risk factors for prognosis shortly after acute pontine infarction.
Results: A total of 260 patients with acute pontine infarction (mean age=64.5± 11.8 years) were included during the study period, and 68 (26.2%) patients had a poor 90-day prognosis. The AIP in the poor 90-day prognosis group was significantly greater (P < 0.05) than that in the good 90-day prognosis group. The multivariate logistic regression analysis revealed that the AIP (OR=9.829; 95% CI: 2.837– 34.051; p < 0.001), baseline NIHSS score (OR=1.663; 95% CI: 1.400– 1.975; p < 0.001) and infarct volume (OR=1.762; 95% CI: 1.013– 3.062; p=0.045) were significantly associated with poor 90-day prognosis in patients with acute pontine infarction.
Conclusion: In patients with acute pontine infarction, the AIP may serve as an important biological marker of poor clinical prognosis and is independently associated with poor 90-day prognosis.
Keywords: lipid metabolism, atherogenic index of plasma, pontine infarction, risk factors, outcome