Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China.
Sci Rep. 2024 May 20;14(1):11474. doi: 10.1038/s41598-024-62280-z.
This study investigated the correlation of newly identified inflammatory and insulin resistance indices with cerebral amyloid angiopathy (CAA), and explored their potential to differentiate CAA from hypertensive arteriopathy (HA). We retrospectively analyzed 514 consecutive patients with cerebral small vessel disease (CSVD)-related haemorrhage, comparing the differences in novel inflammatory and insulin resistance indices between patients with CAA and HA. Univariate regression, LASSO and multivariate regression were used to screen variables and construct a classification diagnosis nomogram. Additionally, these biomarkers were explored in patients with mixed haemorrhagic CSVD. Inflammatory indices were higher in CAA patients, whereas insulin resistance indices were higher in HA patients. Further analysis identified neutrophil-to-lymphocyte ratio (NLR, OR 1.17, 95% CI 1.07-1.30, P < 0.001), and triglyceride-glucose index (TyG, OR = 0.56, 95% CI 0.36-0.83, P = 0.005) as independent factors for CAA. Therefore, we constructed a CAA prediction nomogram without haemorrhagic imaging markers. The nomogram yielded an area under the curve (AUC) of 0.811 (95% CI 0.764-0.865) in the training set and 0.830 (95% CI 0.718-0.887) in the test set, indicating an ability to identify high-risk CAA patients. These results show that CSVD patients can be phenotyped using novel inflammatory and insulin resistance indices, potentially allowing identification of high-risk CAA patients without haemorrhagic imaging markers.
本研究旨在探讨新发现的炎症和胰岛素抵抗指标与脑淀粉样血管病(CAA)的相关性,并探索其区分 CAA 与高血压性血管病(HA)的潜力。我们回顾性分析了 514 例与脑小血管病(CSVD)相关出血的连续患者,比较了 CAA 和 HA 患者之间新型炎症和胰岛素抵抗指标的差异。采用单变量回归、LASSO 和多变量回归筛选变量并构建分类诊断列线图。此外,还在混合出血性 CSVD 患者中对这些生物标志物进行了探讨。CAA 患者的炎症指标较高,而 HA 患者的胰岛素抵抗指标较高。进一步分析发现中性粒细胞与淋巴细胞比值(NLR,OR 1.17,95%CI 1.07-1.30,P<0.001)和甘油三酯-葡萄糖指数(TyG,OR=0.56,95%CI 0.36-0.83,P=0.005)是 CAA 的独立因素。因此,我们构建了一个没有出血性影像学标志物的 CAA 预测列线图。该列线图在训练集中的曲线下面积(AUC)为 0.811(95%CI 0.764-0.865),在测试集中为 0.830(95%CI 0.718-0.887),表明其能够识别高危 CAA 患者。这些结果表明,CSVD 患者可以使用新型炎症和胰岛素抵抗指标进行表型分析,有可能在没有出血性影像学标志物的情况下识别出高危 CAA 患者。