Dienhart Christiane, Aigner Elmar, Iglseder Bernhard, Frey Vanessa, Gostner Isabella, Langthaler Patrick, Paulweber Bernhard, Trinka Eugen, Wernly Bernhard
Department of Internal Medicine I, Paracelsus Medical University, 5020 Salzburg, Austria.
Department of Geriatric Medicine, Christian Doppler University Hospital, Paracelsus Medical University, 5020 Salzburg, Austria.
J Clin Med. 2024 Jul 31;13(15):4492. doi: 10.3390/jcm13154492.
Depression is the most common mental illness worldwide and generates an enormous health and economic burden. Furthermore, it is known to be associated with an elevated risk of arteriosclerotic cardiovascular diseases (ASCVD), particularly stroke. However, it is not a factor reflected in many ASCVD risk models, including SCORE2. Thus, we analysed the relationship between depression, ASCVD and SCORE2 in our cohort. We analysed 9350 subjects from the Paracelsus 10,000 cohort, who underwent both a carotid artery ultrasound and completed a Beck Depression Inventory (BDI) screening. Patients were categorised binomially based on the BDI score. Atherosclerotic carotid plaque or absence was dichotomised for logistic regression modelling. Odds ratios and adjusted relative risks were calculated using Stata. Subjects with an elevated BDI (≥14) had higher odds for carotid plaques compared to subjects with normal BDI, especially after adjusting for classical risk factors included in SCORE2 (1.21; 95%CI 1.03-1.43, = 0.023). The adjusted relative risk for plaques was also increased (1.09; 95%CI 1.01-1.18, = 0.021). Subgroup analysis showed an increased odds of plaques with increases in depressive symptoms, particularly in women and patients ≤55 yrs. In our cohort, the BDI score is associated with subclinical atherosclerosis beyond classical risk factors. Thus, depression might be an independent risk factor which may improve risk stratification if considered in ASCVD risk prediction models, such as SCORE2. Furthermore, reminding clinicians to take mental health into consideration to identify individuals at increased atherosclerosis risk may provide added opportunities to address measures which can reduce the risk of ASCVD.
抑郁症是全球最常见的精神疾病,会带来巨大的健康和经济负担。此外,已知抑郁症与动脉粥样硬化性心血管疾病(ASCVD)尤其是中风的风险升高有关。然而,它并非许多ASCVD风险模型(包括SCORE2)所反映的一个因素。因此,我们在我们的队列中分析了抑郁症、ASCVD与SCORE2之间的关系。我们分析了来自帕拉塞尔苏斯10000队列的9350名受试者,他们均接受了颈动脉超声检查并完成了贝克抑郁量表(BDI)筛查。根据BDI评分将患者进行二分类。将动脉粥样硬化性颈动脉斑块的有无进行二分法处理以用于逻辑回归建模。使用Stata计算比值比和调整后的相对风险。与BDI正常的受试者相比,BDI升高(≥14)的受试者出现颈动脉斑块的几率更高,尤其是在对SCORE2中包含的经典风险因素进行调整之后(1.21;95%置信区间1.03 - 1.43,P = 0.023)。斑块的调整后相对风险也有所增加(1.09;95%置信区间1.01 - 1.18,P = 0.021)。亚组分析显示,随着抑郁症状的增加,出现斑块的几率增加,尤其是在女性和年龄≤55岁的患者中。在我们的队列中,BDI评分与超出经典风险因素的亚临床动脉粥样硬化有关。因此,抑郁症可能是一个独立的风险因素,如果在ASCVD风险预测模型(如SCORE2)中加以考虑,可能会改善风险分层。此外,提醒临床医生考虑心理健康以识别动脉粥样硬化风险增加的个体,可能会为采取可降低ASCVD风险的措施提供更多机会。