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Association of novel metabolic status with asymptomatic intracranial arterial stenosis: A cross-sectional study
Liying Guo1, Yongli Pan2, Yumeng Yang1
1Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Objectives:
To investigate the association of metabolic status newly defined or obesity with asymptomatic intracranial arterial stenosis (aICAS) among populations in rural China.
Methods:
The cross-sectional study is based on the Rose asymptomatic IntraCranial Artery Stenosis (RICAS) cohort, which enrolled 2005 participants aged 40 years or older without a history of clinical stroke or transient ischemic attack. Metabolically healthy status (MH) was defined by a newly proposed criterion: (1) systolic blood pressure (SBP) < 130 mmHg and without antihypertensive medication; (2) a waist-to-hip ratio (WHR) below 1.03 for men and below 0.95 for women; (3) no diabetes. All participants were categorized based on their metabolic status and obesity. Multivariate logistic regression models were used to investigate the association between metabolic status or obesity and aICAS.
Results:
Among 2005 participants, 1597 (79.65%) were defined as metabolically unhealthy status (MU) according to the new criterion. MU was significantly associated with aICAS (OR 2.02, 95% CI 1.11-3.68, P = 0.021), especially moderate-to-severe aICAS (OR 2.43, 95% CI 1.04-5.72, P = 0.042). The prevalence of aICAS increased with the numbers of metabolic disorders (P for linear trend <0.001). Both metabolically unhealthy normal-weight (MUN) (OR 2.11, 95% CI 1.10-4.03, P = 0.025) and metabolically unhealthy obesity (MUO) (OR 3.30, 95% CI 1.64-6.64, P = 0.001) were significantly correlated with aICAS, but not metabolically healthy obesity (MHO). Subgroup analysis further confirmed the association between MU and aICAS risk only in men (P for interaction = 0.042).
Conclusions:
MU defined by the new criterion was significantly associated with aICAS, especially with moderate-to-severe aICAS. This novel criterion effectively identifies individuals with a high prevalence of aICAS among populations with obesity, which could be crucial for stroke prevention.
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