Rajai, Nazanin

Background Studies have demonstrated an association between endothelial dysfunction and major depressive disorder (MDD). However, the link between coronary endothelial dysfunction (CED) and an incident diagnosis of MDD across sexes is unclear. Methods Patients with nonobstructive coronary artery disease (stenosis <40%) underwent an invasive assessment of CED. Macrovascular CED was defined as a percentage change in coronary diameter in response to acetylcholine of ≤−10% compared with baseline. Microvascular CED was defined as a percentage change in coronary blood flow in response to acetylcholine of ≤−50% compared with baseline. In the period after the index procedure, patients were followed up for developing a diagnosis of MDD, and logistic regression was performed to assess the association between baseline CED and incident MDD. Results In total, 2280 patients underwent invasive testing for CED. A total of 516 patients (23%) underwent an evaluation for MDD at a date after the index procedure (mean±SD age, 53±12 years; 72% women). A total of 160 (31%) were diagnosed with MDD. The percentage change in coronary diameter in response to acetylcholine was lower in those diagnosed with MDD in all patients (−10.8% versus −5.3%; P =0.008), and in men (−19.0% versus −4.8%; P =0.001). In men, a higher proportion of those with macrovascular CED were diagnosed with MDD compared with those not diagnosed with MDD (59% versus 38%; P =0.035). In multivariable analyses, macrovascular CED was associated with MDD in men (odds ratio: 2.99 [95% CI, 1.26–7.45]; P =0.015). Conclusions Macrovascular CED is significantly associated with incident MDD in men with nonobstructive coronary artery disease. Endothelial dysfunction in the coronary arteries could thus be a helpful biomarker to identify patients at risk of MDD.

Background Inadequate preventive dental care may contribute to inflammatory conditions such as periodontitis, increasing cardiovascular disease risk. Artificial intelligence–enabled electrocardiography (AI‐ECG) algorithms accurately estimate cardiovascular disease risk. We investigated the association between inadequate preventive dental care and the AI‐ECG–estimated risk of atrial fibrillation, aortic stenosis, low ejection fraction, cardiac amyloid, cardiovascular aging, and all‐cause mortality. Methods We retrospectively analyzed 266 637 Mayo Clinic patients (2018–2024) who completed a Social Determinants of Health Survey and had an ECG performed within 1 year of survey completion. AI‐ECG algorithms generated continuous risk scores (0 or 1) for atrial fibrillation, aortic stenosis, low ejection fraction, and amyloid. Cardiac aging was assessed by delta age, calculated as AI‐ECG–estimated physiological age minus the chronological age. Associations with preventive dental care were analyzed using logistic regression. Cox regression evaluated dental care predictiveness on all‐cause mortality. Results Among 266 637 individuals (mean age, 59.5±16.4 years; 51.1% women), 49 918 (18.7%) reported inadequate preventive dental care. These individuals had higher delta age and increased AI‐ECG–predicted risks of atrial fibrillation, aortic stenosis, amyloid, and reduced ejection fraction (all P <0.001). In multivariable logistic regression models including all AI‐ECG scores, inadequate preventive dental care was associated with higher probabilities of low ejection fraction (odds ratio [OR], 1.80 [95% CI, 1.69–1.91]), atrial fibrillation (OR, 1.10 [95% CI, 1.04–1.17]), aortic stenosis (OR, 1.90 [95% CI, 1.64–2.20]), amyloid (OR, 1.18 [95% CI, 1.12–1.25]), and higher delta age (OR, 1.03 [95% CI, 1.02–1.03]) (all P <0.001). Inadequate preventive dental care predicted all‐cause mortality after adjusting for demographics, risk factors, and AI‐ECG algorithms (HR, 1.45 [95% CI, 1.38–1.53], P <0.001). Conclusions Inadequate preventive dental care is associated with subclinical cardiovascular disease. AI‐ECG algorithms may facilitate cardiovascular risk stratification among individuals with limited preventive dental care access.

Abstract Endothelial dysfunction can be regarded as the earliest feature of vascular aging and may occur in individuals without traditional risk factors for cardiovascular disease. Once present, endothelial dysfunction is known to increase the risk for atherosclerosis, cardiovascular diseases and complications such as stroke or death. Identification of individuals with early features of vascular aging remains challenging and has fuelled investigative efforts to associated biologic, imaging, and digital markers with endothelial dysfunction. This review highlights emerging and traditional methods to identify patients with early endothelial dysfunction and summarizes available and experimental therapies aimed at mitigating the vascular aging process.

Methods: From a sample cohort of 274,539 consecutive adults who sought care at Mayo Clinic between 2018-2022, we ascertained demographic and clinical information, including clinically indicated TTE within 15 days and up to a year after the index clinical visit. The Area Deprivation Index (ADI), a tool that captures neighborhood-level disadvantages that are linked to cardiovascular morbidity and outcomes, was extracted from the Neighborhood Atlas and ranked accordingly as state percentiles stratified in quintiles, with the highest values representing “most disadvantaged” areas. We performed non-parametric multivariate regression models that adjusted for cardiovascular risk factors expressed in odds ratio (OR) and 95% confidence interval (CI). Results: A total of 45,823 (16.9%) subjects had a TTE performed, with a mean age of 63±16 years, 48% were women, and 86% were non-Hispanic white. According to the TTE, 4% of subjects had LVSD, while 11% had a high probability of LVSD by AI-ECG. Median state ADI was 4 IQR (2-7). In the whole cohort, subjects residing in the most disadvantaged areas were less likely to have a TTE [OR 0.94 CI (0.91- 0.97)] see Fig. 1-A ; conversely, they were more likely to have LVSD by TTE [OR 1.80 CI (1.52-2.13)] see Fig. 1-B , and higher probability of LVSD by AI-ECG [OR 1.43 CI (1.36-1.51)] when compared to those with the least disadvantage see Fig. 1-C , independent of age, sex, and cardiovascular risk factors, p for trend<0.001. Conclusion: Individuals living in socially disadvantaged areas were slightly less likely to have an echocardiogram despite a significantly higher likelihood of having an LVSD (suspected by AI-ECG and confirmed by TTE), independent of cardiovascular risk factors. Highlighting an important disparity in the diagnosis of LVSD.

Background A subset of individuals with major depressive disorder (MDD) have a high burden of cardiovascular risk factors and cerebral small‐vessel disease, implicating vascular disease in the development of depression. Cross‐sectional studies demonstrate a link between endothelial dysfunction and MDD, but the prospective association between peripheral endothelial dysfunction (PED) and an incident diagnosis of MDD is unknown. Methods and Results Patients undergoing a baseline assessment of cardiovascular risk were evaluated for PED using reactive hyperemia–peripheral arterial tonometry (≤1.8 consistent with PED). Patient medical records were reviewed to identify those who underwent a formal clinical evaluation of MDD after the index PED evaluation. The frequency of PED was compared in those with and without MDD. Logistic regression analyses were performed to assess the association between baseline PED and incident MDD. Between January 2006 and December 2020, 1614 patients underwent testing for PED. Four hundred eighty‐four (30.1%) patients underwent a formal evaluation for MDD after (0–15 years) the index procedure (mean±SD age, 52.8±13.8 years; 65.2% women). Of these, 157 (32.4%) had PED and 108 (31.0%) were diagnosed with MDD. Individuals with MDD had a higher frequency of PED (40.2% versus 30.2%; P =0.034) compared with those without MDD. In multivariable analyses, PED was significantly associated with MDD (odds ratio, 2.3 [95% CI, 1.4–3.8]; P <0.001). Conclusions PED is significantly associated with incident MDD. Thus, PED may be a useful marker to identify individuals at increased risk of depression who may benefit from more frequent and earlier management strategies.

Introduction: Coronary microvascular dysfunction (CMD) is associated with increased morbidity and mortality. Anemia is an important predictor of outcomes in several cardiovascular diseases, such as heart failure and coronary artery disease (CAD), however its significance in patients with non-obstructive CAD is not fully elucidated. Hypothesis: We hypothesized that anemia would be associated with CMD and future adverse outcomes. Methods: We enrolled 1334 patients with signs and/or symptoms of ischemia and with non-obstructive CAD (<50% angiographic stenosis) who underwent invasive CMD evaluation and had follow-up data. CMD was defined as coronary flow reserve (CFR) (hyperemic flow/baseline flow as measured by the doppler wire) of ≤2 in response to intracoronary adenosine injection. Anemia was defined as a Hgb < 13.0 g/L in males and <12.0 g/L in females. MACE was defined as any incidence of myocardial infarction, cardiac revascularization (PCI, CABG) and all-cause mortality. Results: Overall mean age was 51.3±12.4 years, 66% were female. Patients with anemia were more likely to be female and have diabetes mellitus. Anemics were more likely to be diagnosed with CMD (Odds Ratio 2.01, 95% Confidence Interval [1.14-3.54]; P = 0.02). This relationship remained significant even after adjusting for cardiovascular risk factors like age, sex, hypertension, diabetes mellitus and dyslipidemia (OR 1.84, 95% CI [1.03-3.29], P = 0.04). Furthermore, patients with anemia were more likely to experience MACE (OR 1.86, 95% CI [1.30-2.66], P = 0.001), independent of possible confounders (OR 1.84, 95% CI [1.27-2.69], P = 0.002). Conclusions: Anemia is an independent predictor of CMD and future adverse cardiovascular events in patients with NOCAD. Moreover, it was associated with an increased risk of future adverse events. Further studies are needed to elucidate whether treatment of anemia in this population translates into outcomes.

Introduction: Diabetes mellitus and insulin resistance are associated with accelerated vascular injury and progression of coronary atherosclerosis. CD34 + progenitor cells are mobilized and recruited to repair the endothelial and vascular damage. Hypothesis: We hypothesized that the interaction of insulin levels and retention of CD34+ progenitors in the coronary arteries will be different between patients with and without insulin resistance. Methods: In patients with no obstructive coronary artery disease (NOCAD: <40% angiographic stenosis), blood samples were collected concurrently from the proximal aorta and the coronary sinus, and CD34+ cells counted using flow cytometry. CD34+ cells gradient was calculated by subtracting aortic from coronary sinus cell counts, with a higher gradient reflecting lower retention. Patients on antidiabetic medications were excluded. Insulin resistance (IR) was estimated as HOMA-IR index ([insulin]*[glucose]/405)) ≥2. Results: Of 128 patients (mean age 51±11 years, 77% females), 60 (47%) had IR (mean age 51±10 years, 73% females) and 68 (53%) did not (mean age 50±13 years, 79% females). The groups did not differ in age, sex or LDL cholesterol. The IR group had higher BMI and triglyceride levels and lower HDL cholesterol. CD34 + cell gradient correlated directly significantly with insulin levels in patients without IR (r=0.25, p=0.04) (Fig1A) , but inversely in those with IR (r=-0.39, p=0.01) (Fig1B) . Both associations remained significant after adjustment for age, sex, and BMI (IR: r=-0.39, p=0.02; no IR: r=29, p=0.04). Conclusions: In NOCAD patients with IR, higher levels of serum insulin were associated with increased retention of CD34 + cells in the coronary arteries. The current study supports a potential role for CD34 + cells for vascular repair in patients with IR.

Background: Depression is prevalent in almost half of patients with cardiovascular disease (CVD) and is associated with CVD and mortality. We used an artificial intelligence algorithm using ECG that predicts physiological age (ECG-Age) that has been linked to increased total and CVD mortality and CVD risk factors. We hypothesized that depressive symptoms would be associated with physiologic aging, as measured by AI-ECG Methods: A previously validated algorithm was applied to determine ECG-Age to 105,732 consecutive ECGs of individuals age ≥18 who sought care at Mayo Clinic between June 2019 and January 2022 and filled the Patient Health Questionnaire-9 (PHQ-9) within a month of ECG. PHQ-9 ascertains severity and frequency of depressive symptoms with values from 0 - 27 and were categorized as (None≤4, Mild 5-9, Moderate 10-14, Moderately severe 15-19 and Severe ≥20). Delta-Age was defined as ECG-Age minus chronological age and accelerated aging was defined as a Delta-Age >1SD above the mean. Logistic regression analyses associated PHQ-9 scores with positive Delta-Age while adjusting for CVD risk factors Results: Mean chronological age was 57±17 yr and mean ECG-Age 58±14 yr (R2 0.85, P < 0.0001), Delta-Age 0.71±9.40 yr, 58% women, average PHQ-9 5±6, 61% had none, 20% mild, 10 % moderate, 5%moderately severe and 4% had severe depressive symptoms. Delta-Age was 2.10 years higher in those with depressive symptoms, reflecting accelerated aging. Compared to those with no depressive symptoms, those with severe symptoms were 1.5 times more likely to have Delta-Age >1SD (OR 1.52 CI 95%1.73-1.33), independently of CV risk factors and the Charlson comorbidity index. Figure. There is significant attenuation of the association once accounting for age, sex and CVD risk factors Conclusions: Depressive symptoms are associated with physiologic aging, highlighting the role of depression in physiologic aging and the potential of preventive strategies in patients with depression and CVD

Background: The gap between electrocardiogram (ECG) artificial intelligence-derived age (ECG-Age) and chronological age (Age-Gap) predicts cardiovascular (CV) comorbidities and mortality reflecting physiologic age. Adverse childhood experiences (ACEs) are traumatic and harmful events that impact adulthood CV outcomes. We hypothesized that ACEs would be associated with physiologic age as determined by the Age-Gap. Methods: We applied a previously validated ECG-Age algorithm to the ECGs of 1,988 consecutive individuals aged ≥18, that within 2 years completed an ACEs questionnaire as part of psychological evaluations for weight management. The ACE questionnaire assesses 3 psychosocial domains (i) childhood abuse (psychological, physical or sexual), (ii) household dysfunction (substance abuse, mental illness, female figure treated violently, criminal behavior and parental separation/divorce) and (iii) neglect (emotional or physical) before age 18; results ranged 0 to 10 and were categorized as burden (0, 1-3, and ≥4) and presence (abuse, household dysfunction, neglect). Age-Gap was operationalized as (≤mean or > mean) positive values reflect physiological aging. Logistic regression analyses tested the association between ACE and Age-Gap. Results: Mean ± SD chronological age was 49±13 yr, ECG-Age 54±12 yr, Age-Gap 4.26±8.95 yr,75% women, average ACE 2±2, 32% experienced 0, 44% 1-3, and 24% ≥4 ACEs. Age-Gap was 1.4 years higher in those who experienced at least 1 ACE. Compared to those who didn’t experience ACE those who faced 1-3 ACE were more likely to have an Age-Gap >mean (OR 1.28 95%CI 1.57-1.04) independent of sex and the age-adjusted Charlson comorbidity index Fig A. Also, they were more prone to experiencing neglect and household dysfunction Fig B. Conclusions: Age-gap was associated with ACEs burden and domains, underscoring the need to identify ACEs during clinical evaluations to prevent ACEs at the individual, family, and community levels.

Abstract Aims This study aims to identify whether adding peripheral microvascular dysfunction (PMED), a marker of atherosclerosis to established risk scores has an incremental prognostic value for major adverse cardiovascular events (MACE). Methods and results This is a retrospective study of patients who underwent measuring peripheral arterial tonometry from 2006 to 2020. The optimal cut-off value of the reactive hyperaemia index (RHI) that had maximal prognostic value associated with MACE was calculated. Peripheral microvascular endothelial dysfunction was defined as the RHI lower than the cut-off. Traditional cardiovascular risk factors such as age, sex, congestive heart failure, hypertension, diabetes, stroke, and vascular disease were determined to calculate the CHA2DS2-Vasc score. The outcome was MACE defined as myocardial infarction, heart failure hospitalization, cerebrovascular events, and all-cause mortality. A total of 1460 patients were enrolled (average age 51.4 ± 13.6, 64.1% female). The optimal cut-off value of the RHI was 1.83 in the overall population and in females and males was 1.61 and 1.8, respectively. The risk of MACE during 7 [interquartile range (IQR): 5,11] years of follow-up was 11.2%. Kaplan–Meier analysis showed that lower RHI is associated with worse MACE-free survival (P &lt; 0.001). Multivariate Cox proportional hazard analysis, controlling for classic cardiovascular risk factors or risk scores such as CHA2DS2-Vasc and Framingham risk score revealed that PMED is an independent predictor of MACE. Conclusion Peripheral microvascular dysfunction predicts cardiovascular events. Non-invasive assessment of peripheral endothelial function may be useful in early detection and improving the stratification of high-risk patients for cardiovascular events. Lay summary Key findings