Association between Serum Amyloid A Level and White Matter Hyperintensity Burden: a Cross-Sectional Analysis in Patients with Acute Ischemic Stroke

被引:1
|
作者
Zhang, Peng [1 ]
Han, Rongrong [1 ]
Zhang, Aimei [2 ]
Zhang, Xiaohong [3 ]
Zhang, Ziheng [1 ]
Yu, Hao [4 ]
Li, Hongfang [2 ]
Qi, Ziyou [2 ]
Xu, Peng [2 ]
Yang, Peng [2 ]
Li, Daojing [2 ]
机构
[1] Jining Med Univ, Dept Clin Med, Jining, Shandong, Peoples R China
[2] Jining Med Univ, Dept Neurol, Affiliated Hosp, Jining, Shandong, Peoples R China
[3] Jining Med Univ, Dept Lab, Affiliated Hosp, Jining, Shandong, Peoples R China
[4] Jining Med Univ, Dept Radiol, Affiliated Hosp, Jining, Shandong, Peoples R China
关键词
White matter hyperintensity; Serum amyloid A; Acute ischemic stroke; HIGH-DENSITY-LIPOPROTEIN; SMALL VESSEL DISEASE; C-REACTIVE PROTEIN; ENDOTHELIAL DYSFUNCTION; LESIONS; PATHOGENESIS; MARKERS;
D O I
10.1007/s40120-022-00415-y
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Introduction This work aimed to determine the potential link between white matter hyperintensity (WMH) burden and serum amyloid A (SAA) level in patients with acute ischemic stroke. Methods Consecutive patients with acute large artery atherosclerosis (LAA) stroke between April 2021 and May 2022 were included. WMH volumes (periventricular, deep, and total) were measured using the Fazekas score and a semiautomated volumetric analysis on fluid-attenuated inversion recovery-magnetic resonance imaging. The burdens of WMH were scored to assess the dose-dependent association between SAA and WMH volume. Multivariate regression and a two-piecewise linear regression model were used to evaluate whether SAA levels are an independent predictor of WMH, and to discover the threshold effect or saturation effect of SAA levels with respect to WMH volume. Results The mean age of patients was 63.2 +/- 11.5 years, with 65.9% men. The median SAA level was 3.93 mg/L and the total WMH volume of 6.86 cm(3). In the multivariable analysis, SAA remained an independent predictor of total WMH volume [beta = 0.82, 95% confidence interval (CI) = 0.49-1.07, p < 0.001], periventricular WMH volume (adjusted beta = 0.76, 95% CI = 0.46-1.07, p < 0.001), and deep WMH volume (adjusted beta = 0.26, 95% CI = 0.06-0.45, p = 0.011) after controlling for confounders. Furthermore, SAA levels were associated with periventricular Fazekas score, deep Fazekas score, and Fazekas grades. Threshold effect and saturation effect analyses demonstrated a nonlinear relationship between SAA levels and periventricular white matter hyperintensity (PVWMH) volumes, with SAA levels (2.12-19.89 mg/L) having significant dose-dependent relationships with periventricular WMH volumes (adjusted beta = 1.98, 95% CI = 1.12-2.84, p < 0.001). Conclusion SAA level ranging from 2.12 to 19.89 mg/L is dose-dependently associated with periventricular WMH development. These findings point the way forward for future research into the pathophysiology of WMH.
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页码:161 / 175
页数:15
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