The relationship between conventional lipid parameters and arterial stiffness (AS) has been verified by previous studies. However, it remains unknown whether non‐conventional lipid parameters have certain predictive effect on AS represented by brachial‐ankle pulse wave velocity (baPWV). Therefore, the study was to explore the relationship between remnant cholesterol (RC) and other non‐conventional lipid parameters and AS in the general population free from cardiovascular disease. The study included 912 participants aged 24–84 years from a medical health checkup center of Murakami Memorial Hospital. Logistic regression analysis and receiver operating characteristic (ROC) curves were used to examine the association between non‐conventional lipid parameters and AS. The results showed that compared with non‐AS group, the AS group had higher RC, non‐high‐density lipoprotein cholesterol (Non‐HDL‐C), atherogenic index of plasma (AIP), lipoprotein combine index (LCI), atherosclerosis index (AI), triglycerides/HDL‐C (TG/HDL‐C), Castelli's risk index I (CRI‐I) and Castelli's risk index II (CRI‐II). Then, the authors divided participants into two groups by the optimal cutoff point of 23.6 of RC determined by Youden index. The baPWV was significantly higher in higher RC group compared with lower RC group, and RC was positively correlated with baPWV. Multivariate Logistic regression analysis showed that, regarding lower RC as reference, higher RC was independently associated with higher risk of AS, independent of other risk factors (OR = 1.794, 95% CI: 1.267‐2.539,
p
= .001). The area under the curve of AS predicted by RC was higher than that of other non‐conventional lipid parameters (almost all
p
< .05). The findings indicated that increased RC was a significant predictor of AS.
Background: The relationship between a body shape index (ABSI) and abdominal aortic calcification (AAC) is still unclear, so we tried to prove the relationship between ABSI and AAC in the general population free from cardiovascular disease. Methods: The present study included 3140 participants aged 40-80 years from the 2013-2014 National Health and Nutrition Examination Survey. Logistic regression analysis and Receiver Operating Characteristic (ROC) curves were used to tested the association between ABSI and AAC. Results: Participants with higher ABSI showed significantly higher proportion of AAC. Participants with higher ABSI had an increased risk of developing AAC in the crude model (ABSI as a continuous variable: OR = 2.485, 95% CI: 2.099-2.942, P < 0.001; as a categorical variable: OR = 2.132, 95% CI: 1.826-2.489, P < 0.001), while higher ABSI remained to be an independent risk predictor of AAC with the increase of confounding factors (all adjusted P < 0.05). Further subgroup analyses showed that higher ABSI (regarding lower ABSI as reference) was consistently positively correlated with AAC in eleven subgroups, including sex, age, smoking history, hypertension, diabetes, sleep disorder, body mass index, systolic blood pressure, diastolic blood pressure, fasting plasma glucose and low-density lipoprotein cholesterol (P for interaction > 0.05). However, in the osteoporosis and hemoglobin A1c subgroups, the correlation was no longer synchronized (P for interaction < 0.05). The ROC curves analysis showed that the discriminant ability of ABSI was significantly higher than that of other models. Conclusions: Independent of the related confounding factors, higher ABSI was significantly associated with higher prevalent AAC in the general population free from cardiovascular disease.
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