Jee-Hye Han | 4 Articles |
![]()
Background
White matter hyperintensity (WMH) is a risk factor for dementia and ischemic stroke. The atherogenic index of plasma (AIP) is a simple and cost-effective marker for the prediction of various vascular diseases. In this study, we evaluated the relationship between AIP and WMH in adults without cerebrovascular accidents. Methods We analyzed the data of 281 adults, aged ≥26 years, who underwent brain magnetic resonance imaging (MRI) at the health promotion center of an education hospital between January 2014 and December 2018. Participants were divided into three categories according to tertiles of the AIP scores (T1: <0.20; T2: 0.20–0.48; and T3: >0.48). WMH was defined as a modified Fazekas scale score of 1–3 on brain MRI. A cubic spline curve was used to determine the linearity of the relationship between AIP and WMH. Multiple logistic regression analysis was used to evaluate the relationship between the AIP and WMH. Results The prevalence of WMH was 45.7% in T1, 57.0% in T2, and 66.0% in T3 (T3 vs. T1, P for post-hoc analysis=0.005). The increased odds of WMH were associated with increased AIP. The odds ratio (OR) with a 95% confidence interval (CI) for WMH of T2 and T3 compared with T1 were 1.57 (0.88–2.80) and 2.30 (1.28–4.14), respectively. After adjusting for confounding variables, the OR with a 95% CI for WMH in the T2 and T3 groups vs. the referent T1 were 1.55 (0.76–3.13) and 2.27 (1.06–4.84), respectively. Conclusion AIP is independently and positively associated with WMH in a healthy population. Citations Citations to this article as recorded by
Background
The aortic knob width (AKW) and the heart rate variability (HRV) were suggested to be related to development of cardiovascular diseases. However, the relationship between them has not been investigated; thus, this study aimed to determine this relationship. Methods This study included 587 Koreans aged 18–79 years. Their physical measurements, medical and social histories, blood test findings, and chest radiographs were obtained. The HRV parameters included the standard deviation of the N-N interval (SDNN), root mean square of successive differences (RMSSD), approximate entropy (ApEn), total power (TP), very low frequency (VLF), low frequency (LF), high frequency (HF), and LF/HF ratio, which were measured for 5 minutes. The AKW was measured on chest radiographs by a single reviewer. Results The AKW was significantly correlated with the HRV parameters, except for the LF/HF ratio. However, RMSSD and ApEn were not significantly related to the AKW in women. After dividing the participants into quartile groups, the AKW was significantly related to the SDNN, RMSSD, TP, VLF, LF, and HF. The HRV parameter values decreased in the higher AKW quartile groups, the HRV parameter values decreased. After adjusting for sex, drinking status, exercise habits, smoking status, waist circumference, and triglyceride, low-density lipoprotein cholesterol, fasting blood sugar, and glycated hemoglobin levels, the AKW showed significant negative associations with the HRV parameters, except for the LF/HF ratio. Conclusion The AKW is significantly associated with the HRV parameters of SDNN, RMSSD, ApEn, TP, VLF, LF, and HF.
![]()
Background
Both aortic knob width and metabolic syndrome are suggested to be related to atherosclerosis and cardiovascular diseases. However, the association between aortic knob width and metabolic syndrome is unknown. This study aimed to explore this relationship. Methods Participants were 3,705 Korean adults aged 18–79 years who visited the health promotion center of a general hospital. Data on chest radiography, physical measurements, medical and social history, and blood tests were collected. We defined metabolic syndrome according to the National Cholesterol Education Program Adult Treatment Panel III criteria. A single reviewer measured aortic knob width on chest radiography. Results Aortic knob width was significantly correlated with age; body mass index; waist circumference; systolic and diastolic blood pressures; total cholesterol, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, fasting glucose, glycated hemoglobin, insulin, and uric acid levels; and homeostatic model assessment of insulin resistance values. Aortic knob width significantly increased as the number of metabolic syndrome components increased. Moreover, metabolic syndrome component values tended to increase across the quartile groups of aortic knob width after adjusting for age, exercise, smoking status, and alcohol use. Through receiver operating characteristic curve analysis, we determined the clinically useful cutoff value for aortic knob width to be 30.47 mm in premenopausal women. Conclusion Aortic knob width was found to be significantly related to metabolic syndrome and its individual components. Citations Citations to this article as recorded by
The aim of this study was to determine the association between carotid intima-media thickness (IMT) and newly developed 10-year atherosclerotic cardiovascular disease (ASCVD) risk score. Participants were 201 Korean adults who underwent carotid ultrasonography at the Health Promotion Center of the Eulji General Hospital. We obtained information about medical history and lifestyle, and conducted laboratory tests. Carotid IMT by B-mode ultrasonography was measured. Carotid injury was considered present when the maximum carotid IMT was ≥0.9 mm or when arteriosclerotic plaques were detected. The 10-year ASCVD risk score was calculated using the 2013 American College of Cardiology/American Heart Association guidelines. Men had higher 10-year ASCVD risk score than did women (mean±standard deviation: 7.15±6.04 vs. 2.53±3.67, respectively; P<0.001). Ten-year ASCVD risk was significantly correlated with right maximum carotid IMT (r=0.307), left maximum carotid IMT (r=0.230), right mean carotid IMT (r=0.322), and left mean carotid IMT (r=0.264). The group with high 10-year ASCVD risk were at even higher risk of carotid injury than were the group with low 10-year ASCVD risk (odds ratio, 2.201; 95% confidence interval, 1.162-4.1706; P=0.019). Only 10-year ASCVD risk score was significantly associated with carotid injury (odds ratio, 4.104; 95% confidence interval, 1.570-10.729). Variables that were not included in the 10-year ASCVD risk score were not significantly associated with carotid injury. The findings of this study suggest that 10-year ASCVD risk score is associated with carotid injury. Citations Citations to this article as recorded by
|