Del Brutto Oscar H, Mera Robertino M, Costa Aldo F, Castillo Pablo R, Matcha Gautam
School of Medicine, Universidad Espíritu Santo - Ecuador, Guayaquil, Ecuador.
Department of Epidemiology, Gilead Sciences, Inc., Foster City, CA, USA.
Heliyon. 2019 Apr 23;5(4):e01556. doi: 10.1016/j.heliyon.2019.e01556. eCollection 2019 Apr.
The earlobe crease (ELC) has been linked to coronary artery disease, but there is limited information on the association between ELC and extracranial atherosclerosis. Using the Atahualpa Project cohort, we aimed to assess the association between ELC and increased carotid intima-media thickness (cIMT). Atahualpa residents aged ≥40 years underwent visual inspection of both earlobes to evaluate ELC presence, and ultrasound examinations of carotid arteries to calculate the cIMT. The association between both variables was assessed by logistic regression and predictive models, after adjusting for relevant confounders. Mean age of 570 enrolled individuals was 61.5 ± 12.4 years (58% women). ELC was present in 221 (39%) participants. The mean cIMT was 0.85 ± 0.19 mm, with 81 individuals (14%) having an increased cIMT (>1 mm). Univariate logistic regression showed a significant association between ELC presence and increased cIMT (OR: 1.67; 95% C.I.: 1.04-2.69), which disappeared when age (OR: 1.09; 95% C.I.: 0.65-1.85) and other covariables (OR: 1.06; 95% C.I.: 0.62-1.84) were added to the model. Predictive cIMT margins did not differ according to ELC presence or absence, with participants stratified in quartiles of age. This study shows that the effect of the increase in cIMT in subjects with ELC is related to aging.
耳垂皱褶(ELC)与冠状动脉疾病有关,但关于ELC与颅外动脉粥样硬化之间关联的信息有限。利用阿塔瓦尔帕项目队列,我们旨在评估ELC与颈动脉内膜中层厚度(cIMT)增加之间的关联。年龄≥40岁的阿塔瓦尔帕居民接受了双侧耳垂的目视检查以评估ELC的存在情况,并进行了颈动脉超声检查以计算cIMT。在对相关混杂因素进行调整后,通过逻辑回归和预测模型评估了这两个变量之间的关联。570名登记个体的平均年龄为61.5±12.4岁(58%为女性)。221名(39%)参与者存在ELC。平均cIMT为0.85±0.19毫米,81名个体(14%)的cIMT增加(>1毫米)。单因素逻辑回归显示ELC的存在与cIMT增加之间存在显著关联(比值比:1.67;95%置信区间:1.04 - 2.69),当将年龄(比值比:1.09;95%置信区间:0.65 - 1.85)和其他协变量(比值比:1.06;95%置信区间:0.62 - 1.84)添加到模型中时,这种关联消失。根据ELC的存在与否,预测的cIMT界限在按年龄四分位数分层的参与者中没有差异。这项研究表明,有ELC的受试者中cIMT增加的影响与衰老有关。