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Female sex and high HDL-c linked to lower carotid plaque risk in a Chinese cohort

Female sex and high HDL-c linked to lower carotid plaque risk in a Chinese cohort
Photo by Alexander Krivitskiy / Unsplash
Key Takeaway
Consider that female sex and high HDL-c may be associated with lower carotid plaque risk in this cohort.

This was a retrospective cohort study at a single hospital in Xinjiang, China, involving 12,391 individuals who underwent health examinations. The study analyzed health examination data, including sex, age, smoking status, and HDL-c levels, to identify risk factors for carotid plaque occurrence.

Main results from a logistic regression model showed that female sex was associated with reduced risk (OR = 0.59) and HDL-c >1.55 mmol/L was associated with reduced risk (OR = 0.80). Increased risk was associated with age 45–59 years (OR = 5.19), age ≥60 years (OR = 14.04), and smoking (OR = 1.37). Absolute numbers, p-values, and confidence intervals were not reported.

Safety and tolerability data were not reported. Key limitations include the retrospective design, single-center setting, lack of follow-up data, and model validation only within the same cohort. The study provides a predictive model for risk stratification based on sex, age, smoking, and HDL-c.

Practice relevance is limited to hypothesis generation; causation is not established due to the observational design. Results should not be generalized beyond the studied population without further validation.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
BackgroundCarotid plaque serves as an early window into atherosclerosis; however, more convenient tools for plaque risk stratification are currently lacking. This study aimed to investigate the risk factors for carotid plaque occurrence, establish a predictive model, and develop a risk assessment scale.MethodsA total of 12,391 individuals who underwent health examinations at the Physical Examination Center of the First Affiliated Hospital of Xinjiang Medical University between January 2024 and March 2025 were retrospectively enrolled. After applying inclusion and exclusion criteria, Least Absolute Shrinkage and Selection Operator (LASSO) regression was performed. The cohort was then randomly divided into a development set (n = 7,434) and a validation set (n = 4,957) to construct a binary multivariate logistic regression model.ResultsIn the multivariate regression model adjusted for confounding factors within the development set, female sex (OR = 0.59) and high-density lipoprotein cholesterol (HDL-c) >1.55 mmol/L (OR = 0.80) were associated with a reduced risk of plaque. Age 45–59 years (OR = 5.19), age ≥60 years (OR = 14.04), and smoking (OR = 1.37) were independently associated.
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