ArticleInternational journal of general medicine2024
Association Between the Atherogenic Index of Plasma and 90-Day Clinical Prognosis in Patients with Acute Pontine Infarction: A Single Center Study.
Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Cumulative inflammatory, coagulation, and metabolic abnormalities predict poor 90-day functional outcome after endovascular thrombectomy for large-vessel occlusion acute ischemic stroke.Frontiers in neurology · 2026Article
- Association Between the Geriatric Nutritional Risk Index and All-Cause Mortality in Elderly Patients with Acute Ischemic Stroke After Intravenous Thrombolysis.International journal of general medicine · 2026Article
- Association of atherogenic index of plasma with cardiovascular disease mortality in patients with type 2 diabetes mellitus and diabetic kidney disease: a cross-sectional study.BMC cardiovascular disorders · 2025Article
- Association between the atherogenic index of plasma and mortality in the chronic kidney disease population: evidence from NHANES.Frontiers in medicine · 2025Article
- Impact of low-grade inflammation on neurological outcomes in patients with acute pontine infarction: a retrospective cohort study.Frontiers in immunology · 2025Article
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Abstract
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.
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