Background: Few studies simultaneously investigated lipids and lipoprotein biomarkers as predictors of ischemic stroke. The value of these biomarkers as independent predictors of ischemic stroke remains controversial.
Methods: We conducted a prospective nested case-control study among postmenopausal women from the Women's Health Initiative Observational Study to assess the relationship between fasting lipids (total cholesterol, low-density lipoprotein cholesterol [LDL-C], high-density lipoprotein cholesterol [HDL-C], and triglycerides), lipoproteins (LDL, HDL, and very low-density lipoprotein [VLDL] particle number and size, intermediate-density lipoprotein [IDL] particle number, and lipoprotein (a)), and risk of ischemic stroke. Among women free of stroke at baseline, 774 ischemic stroke patients were matched according to age and race to control subjects, using a 1:1 ratio.
Results: In bivariate analysis, baseline triglycerides (P<0.001), IDL particles (P<0.01), LDL particles (P<0.01), VLDL triglyceride (P<0.001), VLDL particles (P<0.01), VLDL size (P<0.001), LDL size (P=0.03), and total/HDL cholesterol ratio (P<0.01) were significantly higher among women with incident ischemic stroke, whereas levels of HDL-C (P<0.01) and HDL size (P<0.01) were lower. No significant baseline difference for total cholesterol (P=0.15), LDL-C (P=0.47), and lipoprotein (a) (P=0.11) was observed. In multivariable analysis, triglycerides (odds ratio for the highest versus lowest quartile, 1.56; 95% confidence interval, 1.13-2.17; P for trend=0.02), VLDL size (odds ratio, 1.59; 95% confidence interval, 1.10-2.28; P for trend=0.03), and IDL particle number (odds ratio, 1.46; 95% confidence interval, 1.04-2.04; P for trend=0.02) were significantly associated with ischemic stroke.
Conclusions: Among a panel of lipid and lipoprotein biomarkers, baseline triglycerides, VLDL size, and IDL particle number were significantly associated with incident ischemic stroke in postmenopausal women.
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http://dx.doi.org/10.1161/STROKEAHA.111.641324 | DOI Listing |
Neurol Sci
January 2025
Department of Medicine and Surgery, Unit of Neurology, Neurophysiology, Neurobiology and Psychiatry, Università Campus Bio-Medico di Roma, Via Alvaro del Portillo, 21 - 00128, Roma, Italy.
Appl Neuropsychol Adult
January 2025
University Department of Neurology, Sestre Milosrdnice University Hospital Center, Zagreb, Croatia.
Unlabelled: Greater empirical and scientific attention is still put on patients with left brain hemisphere (LBH) damage where language impairments are common and expected. In patients with RBH damage, language assessment is therefore rarely done in the acute phase of stroke recovery.
Purpose: To investigate language impairments in the acute phase of stroke using a Croatian standardized language battery for the first time and compare patients with RBH stroke, LBH stroke and healthy individuals.
Sci Rep
January 2025
DeepClue Inc., Deajeon, Republic of Korea.
To validate the clinical feasibility of deep learning-driven magnetic resonance angiography (DL-driven MRA) collateral map in acute ischemic stroke. We employed a 3D multitask regression and ordinal regression deep neural network, called as 3D-MROD-Net, to generate DL-driven MRA collateral maps. Two raters graded the collateral perfusion scores of both conventional and DL-driven MRA collateral maps and measured the grading time.
View Article and Find Full Text PDFJ Neurointerv Surg
January 2025
Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
Background: Post-stroke epilepsy (PSE) is a major complication of stroke. However, data about the predictors of PSE in patients with acute ischemic stroke (AIS) undergoing mechanical thrombectomy are limited.
Objective: To evaluate the relationship between intraoperative angiographic signs and PSE risk in patients with anterior circulation AIS who underwent mechanical thrombectomy.
J Neurointerv Surg
January 2025
Johns Hopkins School of Medicine, Baltimore, Maryland, USA
The cerebral blood volume index (CBV index) is a perfusion-based marker of collateral status. Several real-world data analyses from observational stroke cohorts have established relationships between this parameter and a range of favorable and unfavorable stroke outcomes. In this review, an overview is provided of the CBV index, within the context of thrombectomy-treated large vessel and medium vessel occlusion ischemic strokes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!