1. Novel inflammatory and insulin resistance indices provide a clue in cerebral amyloid angiopathy.
- Author
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Zhu HH, Wang YC, He LC, Luo HY, Zong C, Yang YH, Wu JH, Song B, Gao Y, Xu YM, and Li YS
- Subjects
- Humans, Male, Female, Aged, Retrospective Studies, Middle Aged, Neutrophils metabolism, Cerebral Small Vessel Diseases pathology, Cerebral Small Vessel Diseases blood, Nomograms, Lymphocytes metabolism, Triglycerides blood, Insulin Resistance, Cerebral Amyloid Angiopathy pathology, Biomarkers blood, Inflammation pathology
- Abstract
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., (© 2024. The Author(s).)
- Published
- 2024
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