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Introduction: Despite being healthier than the general population on arrival, immigrants to the US often face systemic barriers to healthy lifestyle behaviors and increased risk of cardiovascular disease (CVD). Self-efficacy has been associated with healthy diet and physical activity behaviors, but associations and construct validity have not been well studied in large samples of immigrant populations. Hypothesis: Self-efficacy for a healthy diet and physical activity will be associated with better dietary quality and intake and more physical activity, respectively. We also assessed the construct validity of measurement scales in this population. Methods: Set in southeast Minnesota and embedded with the Rochester Healthy Community Partnership, a 20-year community-based participatory research partnership, the Healthy Immigrant Community study enrolled Hispanic/Latinx and Somali immigrants into a randomized intervention to reduce obesity and CVD risks. Baseline assessments included biometric measures and self-reports of dietary intake, physical activity, and quality of life in English, Spanish, or Somali. Two self-efficacy items (“How confident are you that you can eat a healthy diet?”; “How confident are you that you can participate in regular exercise or physical activity?”) were rated as a percentage interval (0%=not at all confident; 25%; 50%=somewhat confident; 75%; 100%=very confident). Results: In total, 451 participants, 268 (59%) Hispanic/Latinx and 183 (41%) Somali, completed baseline assessments for this analysis. The mean age was 45 years (range=18-87), 59% were female, and 37% lacked health insurance over ≤12 months. Participants reporting more confidence to eat a healthy diet were more likely to eat fruits and vegetables as snacks ( p =<0.001), and less likely to drink fruit drinks or sports drinks ( p =0.02) or regular soda ( p =<0.001). Those reporting more confidence to be physically active were also reported higher levels of physical activity ( p =0.001). Validated self-efficacy scales had a wide distribution of scores, suggesting that the measures can be appropriately used among these immigrant communities. Conclusion: Higher self-efficacy for a healthy diet and physical activity were significantly associated with healthier eating and physical activity behaviors. Lifestyle interventions to reduce CVD risk may benefit from incorporating culturally tailored strategies to enhance self-confidence and support health equity in immigrant communities.

Background: Deciding to use oral anticoagulation (OAC) for stroke prevention in patients with atrial fibrillation (AF) is complex. For many, the decision between treatment and non-treatment requires a primary tradeoff between the risks of potential stroke and increased bleeding. Hypothesis: We hypothesized that patient values and empiric stroke risk measured by CHA 2 DS 2 -VASc score would influence OAC decisions. Methods: We conducted a secondary analysis of a randomized clinical trial where eligible clinicians and patients were independently randomized to one of two decision aids (DAs) – a patient decision aid and/or an encounter decision aid. Eligible patients were adults with AF with CHA 2 DS 2 -VASc≥1 for men or ≥2 for women. Patients newly prescribed (OAC-naive subgroup) or already taking OAC (OAC-experienced subgroup) were included. We assessed patient values using a 5-point Likert scale between stroke prevention and bleeding risk after SDM during a clinical encounter. We report preliminary results using descriptive statistics and adjusted analysis to investigate the effects of CHA 2 DS 2 -VASc and expressed values on OAC use. Results: 1005 patients were included in the analysis. 828 (82%) patients valued stroke prevention over bleeding risk. Among the OAC-naive group, 175 (63%) valued stroke prevention more than bleed avoidance, 58 (20%) valued bleed avoidance more than stroke prevention, and 47 (17%) were neutral. In the unadjusted analysis, patients were more likely to value stroke prevention if they were OAC-experienced (p<0.001), older (p<0.001), female (p< 0.001), had patient-reported bleeding (p=0.003), or if CHA 2 DS 2 -VASc ≥ 2 if male, ≥3 if female (p<0.001) Table 1 . After adjustments, there were significant associations for OAC use among patients who valued stroke prevention (OR 5.35, 95%CI 3.13-9.13, p<0.001) or had higher CHA 2 DS 2 -VASc (OR 2.03, 95%CI 1.26-3.27, p=0.004). Patients who valued bleed avoidance had an opposing association not to use OAC (OR 0.23, 95%CI 0.11-0.48, p<0.001). Conclusions: Patients with elevated risk (CHA 2 DS 2 -VASc score, age, and female), and those who reported a prior bleeding event valued stroke prevention more than bleeding avoidance. Both empiric stroke risk and patient values were associated with the decision to use OAC. While the tradeoff between stroke prevention and bleeding risk is only one aspect of the decision-making process, these results indicate variability in patient values may influence OAC use.

Background: Cardiac rehabilitation (CR) is essential to secondary cardiovascular disease prevention and management of cardiac patients. Despite its proven benefits, CR remains underutilized with enrollment and completion rates ranging from 10-30% in the US. Yet, there is a scarcity of nationally representative data among diverse populations on socioeconomic differences in barriers and beliefs of CR participation and delivery mode preferences. Hypothesis: The perceptions (barriers, beliefs), CR delivery mode preferences, and CR utilization (prior enrollment) varies by socioeconomic status (SES) among CR-eligible individuals. Methods: We conducted an anonymous national electronic survey from March 2023 to January 2024 of individuals self-reporting a prior CR-eligible diagnosis. The 22-item CR Barriers Scale assessed perceived barriers to CR enrollment and participation using a 5-point Likert scale (strongly disagree to strongly agree). A 13-item, validated questionnaire assessed 4 subscales pertaining to patients’ beliefs about CR, each rated on a 5-point Likert scale (strongly disagree to strongly agree): perceived necessity, concerns about exercise, practical barriers and perceived suitability. CR delivery mode preferences were ascertained (eg, virtual, at-home, etc.). Mean barriers and belief scores as well as delivery mode preferences were stratified by SES. Low SES was defined as ≤ high school education, Medicaid insurance, or uninsured. High SES was defined as > high school education and non-Medicaid health insurance. Responses were analyzed using descriptive statistics with R software. Results: A total of 466 participants completed the survey (38.1% women, 30.6% minoritized racial/ethnic group, 29.6% low SES, 95% response rate) ( Table 1 ). The majority indicated prior enrollment in CR (81.5%) with no difference by SES. CR barrier scores did not differ significantly by SES (p=0.331) ( Table 2 ). Beliefs about CR perceived necessity and perceived suitability differed by SES (p<0.001 and p=0.025), but beliefs regarding concerns about exercise and practical barriers did not. The low SES group reported a higher preference for completely at-home CR compared to the high SES group (33.6% vs 7.4%, p<0.001). Conclusion: Our findings suggest that CR beliefs varied by SES while utilization did not. For CR-eligible patients experiencing socioeconomic disadvantage, at-home CR may be a preferred alternative to center-based CR to increase CR participation and adherence.

Introduction: Stroke is the second largest cause of death and third leading cause of disability worldwide. Some high-income countries have one in five lifetime cases and one in two in low-income countries. Due to the high stroke burden and aging population, better preventive and treatment approaches are needed. Recent research shows that stroke patients have a different gut microbiota than healthy people, suggesting a relationship between dysbiosis and stroke incidence and prognosis. Probiotics may improve stroke outcomes by strengthening the intestinal barrier and reducing inflammation. Hypothesis: Our study seeks to evaluate the potential benefits of probiotic supplementation in reducing the risk of ischemic stroke in healthy individuals as well as its impact on the prognosis of stroke patients, specifically in reducing gastrointestinal complications and improving gut microbiota balance (reduce dysbiosis). Methods: We conducted an umbrella meta-analysis of meta-analyses published in the last 10 years using PRISMA guidelines in PubMed. Using RevMan 5.4, we performed an inverse variance random effects model to calculate log (odds ratio) and converted it to pooled OR and 95% confidence interval to obtain a forest plot keeping alpha criteria 0.05. Heterogeneity and risk of bias assessment (by Newcastle-Ottawa Scale) were assessed. Results: While probiotic supplementation in healthy individuals did not significantly decrease the risk of ischemic stroke (OR 0.87 [95%CI 0.75-1.01]), it showed notable benefits in stroke patients. These positive effects included a substantial reduction in the odds of specific GI complications (constipation, diarrhea, gastric retention, esophageal reflux, vomiting, stress ulcers, and gastrointestinal bleeding) by 62% (0.38, 0.29-0.51), non-specific GI complications by 72% (0.28, 0.24-0.34), infection by 73% (0.27, 0.21-0.33) and a significant improvement in gut flora balance, reducing the odds of dysbiosis by 79% (0.21, 0.12-0.36). (p<0.00001) The inter-study heterogeneity was 91% with (p<0.00001, Chi 2 =128.76), a moderate risk of bias. Conclusion: Our umbrella meta-analysis highlights the potential benefits of probiotic supplementation in stroke patients, particularly in mitigating stroke-related GI complications and alleviating intestinal flora dysbiosis. These findings underscore the crucial role of gut-brain interactions in stroke and suggest that probiotics may serve as a promising component of stroke management.

Introduction: It is unknown how comorbid diagnoses affect patients’ disease-specific knowledge or how patients’ health literacy or numeracy affects this relationship. In patients with atrial fibrillation (AF), comorbidities can be quantified by the CHA 2 DS 2 -VASc score. We explore the association of AF/stroke knowledge with CHA 2 DS 2 -VASc score, health literacy, and numeracy for usual care participants in the multi-center Randomized Evaluation of Decision Support Interventions for Atrial Fibrillation (RED-AF) trial evaluating decision aids to initiate (initiation cohort) or continue (monitor cohort) oral anticoagulation (OAC) in AF patients. Methods: This study was conducted at six academic medical centers in the United States. Participants were aged ≥18, diagnosed with non-valvular AF, and at risk for stroke (CHA 2 DS 2 -VASc ≥1 for men, ≥2 for women). Patient demographics were obtained via questionnaires after a baseline clinical encounter; knowledge was evaluated by patient responses to 7 questions about OAC and AF. Health literacy was measured by a validated self-reported screening tool; numeracy by a validated subjective numeracy scale; CHA 2 DS 2 -VASc was calculated from medical records. We applied generalized estimating equations for a binomial outcome to jointly relate patient knowledge to CHA 2 DS 2 -VASc score, health literacy and numeracy, controlling for 5 additional patient factors and accounting for clustering by clinician. Results: We report on 306 patients randomized to the usual care group across six participating sites. Average age 68.7 9, 61.6% male, mean CHA 2 DS 2 -VASc 2 1.5. Patient knowledge was independently associated with numeracy (5% higher odds of correct response per 1 unit increase in numeracy, 95% CI 0-10%, p=0.05) and membership in the monitor cohort (40% odds of correct response, 4-89%, p=0.03) but not health literacy or increased stroke risk. Conclusion: In the RED-AF study , although health literacy and increasing stroke risk were not independently associated with patient knowledge about AF, numeracy had a minimal positive association. Those already on OAC had greater disease knowledge than patients newly starting OAC. These results suggest a need to broadly increase patient education regardless of baseline comorbidity burden and degree of health literacy. Future studies should be performed to better understand other factors that drive patient knowledge regarding AF and stroke.

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.

Introduction: Deep neural networks are increasingly used to generate diagnostic algorithms in cardiovascular medicine. A biomarker of cardiovascular aging, derived from a deep-learning algorithm applied to digitized 12-lead electrocardiograms (ECGs), has recently been introduced. This biomarker, delta age (δ-age), is defined as the difference between predicted ECG age and chronological age. Hypthesis: We hypothesized that δ-age will improve the prediction of incident fatal and non-fatal myocardial infarction (MI) and stroke on top of what contemporary CVD prediction tools would do. Methods: In this cohort study, we included 7,111 men and women from the Norwegian Tromsø Study conducted in 2015-16, with follow-up through 2021 for incident fatal and non-fatal myocardial infarction (MI) and hemorrhagic or cerebral stroke. We used Cox proportional hazards regression models to assess the independent effect of δ-age on MI and stroke. Discrimination was evaluated using Harrell’s concordance statistic (C-index) and the net reclassification improvement (NRI). Results: During a median follow-up of 5.9 years, we observed 155 incident cases of MI, 141 cases stroke and 290 cases with either MI or stroke. δ-age was observed with a mean of 0 and standard deviation of 6.2 years. In men and women combined, hazard ratios (HRs) per standard deviation increase in δ-age, after adjustment for traditional risk factors, were 1.24 (95% confidence interval (CI) 1.09, 1.41) for the combined outcome, 1.26 (1.06, 1.49) for MI and 1.25 (1.03, 1.50) for stroke. In men, the corresponding HRs were 1.27 (1.09, 1.49), 1.46 (1.18, 1.79) and 1.02 (0.80, 1.31), respectively, and in women, 1.20 (0.97, 1.49), 0.87 (0.64, 1.20) and 1.58 (1.19, 2.11), respectively. The C-index increased modestly when δ-age was added to a model with traditional risk factors. The 95% CI for the C-index increase excluded zero for the combined outcome overall, and for MI in men and for stroke in women. The NRI was 26.0% (13.3%, 38.1%) for the combined outcome, 17.5% (0.6%, 33.5%) for MI and 37.2% (20.1%, 53.0%) for stroke. Conclusions: Incorporating δ-age into primary prevention risk prediction models significantly improved performance beyond traditional cardiovascular risk factors for the combined outcome and separately for MI and stroke.

Introduction: Vascular risk factors of hypertension, diabetes, and smoking in midlife (45-64 years) and possibly early late-life (65-74 years) are associated with increased risk of dementia. Current estimates of population attributable risk for dementia assume vascular factors are independent and do not interact to increase risk of dementia, which may underestimate the combined impact of vascular risk reduction on dementia incidence. In this study, we evaluated the joint association and interaction of vascular risk factors on risk of dementia. Methods: We performed a prospective cohort analysis using the Atherosclerosis Risk in Communities Neurocognitive Study using up to 33 years of follow-up (1987-2020). We used age as baseline (45-54 years, n=7,731; 55-64 years, n=12,273; and 65-74 years, n=6,660). We defined hypertension as systolic blood pressure ≥130 mm Hg, diastolic blood pressure ≥80 mm Hg, or anti-hypertension medication use. We defined diabetes as fasting glucose level ≥126 mg/dL, non-fasting glucose ≥200 mg/dL, self-reported physician diagnosis, or use of any diabetes medication. Current smoking was self-reported. We investigated additive and multiplicative interactions for combinations of vascular risk factors on incident (adjudicated) dementia by age 80 using joint effect variables in Cox regression models stratified by age of risk factor measurement (45-54 years, 55-64 years, or 65-74 years). For interaction analyses, parameter values >1 indicate positive interaction (synergy) and values <1 indicate negative interaction (antagonism). Results: In participants with risk factors measured in these baseline age strata, there were 801 (10%), 995 (8%), and 422 (6%) cases of incident dementia by age 80, respectively. Hypertension and diabetes exhibited positive interactions on the additive and multiplicative scales in midlife (Figure 1). Diabetes and smoking in midlife had positive additive interaction (value >1, Figure 2). All vascular risk factor combinations in late-life had negative interactions on the multiplicative scale (values <1, Figures 1-3). Conclusions: Hypertension with diabetes and diabetes with smoking, all measured in midlife, interact to increase risk of dementia by age 80. The overall impact of reducing midlife vascular risk factors on incident dementia could be sizeable. These findings highlight the importance of multifactor interventions addressing combinations of vascular risk factors for dementia prevention strategies.

Background: In the United States, rural residents face unique challenges that affect their overall cardiovascular health and mortality including access to care for acute cardiovascular conditions. We assessed differences in mortality and mode of care among adult patients diagnosed with acute myocardial infarction (AMI) based on geographical residence. Methods: Using data from the Medicare Provider Analysis and Review files, we identified adult patients aged 45 and older who were diagnosed with AMI between 2015 and 2019. Cox-proportional hazards regression models were constructed to determine the association between patient’s geographic residence (rural vs. urban) on 30- and 90-day all-cause mortality. Results: A total of 868,955 adult patients diagnosed with AMI were included in this study. Twenty-six percent of the sample resided in rural areas. Among rural residents with AMI, 46% were managed invasively with either percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG) surgery which was similar to 45% of urban residents. After controlling for age, race, sex, and comorbid conditions, rural residents had a higher risk of death compared to urban patients (aHR 1.04, p<0.001) at 30 and 90 days. In subgroup analyses, a similar pattern was observed among those who did not undergo invasive procedures (aHR 1.06, p<0.001), however, there was no differences in mortality at 30 days (aHR 0.99, p=0.30) and 90 days (aHR: 0.99, p=0.36) between rural and urban residents who were managed by PCI or CABG. Conclusion: Rural patients with AMI had a higher mortality risk than their urban counterparts, and this difference was driven by a higher death rate among those managed conservatively. Further investigation is needed to understand the underlying factors driving rural-urban disparities in mortality, particularly with non-invasive management of AMI.

Abstract Background Recently, a model to predict 5-year recurrence-free survival (RFS) and melanoma-specific survival (MSS) after sentinel lymph node biopsy (SLNB) was published. The aim of this study was to validate that model in a large independent international cohort. Methods The database of the Sentinel Lymph Node Working Group (SLNWG) was analysed for patients with malignant melanoma who underwent SLNB. Patients with clinical stage III melanoma, a history of other malignancies, or receiving concomitant systemic therapies during follow-up were excluded. The model’s predictive performance was evaluated using discrimination and calibration metrics in the eligible cohort. Decision curve analysis was performed to assess the clinical value of the model. Results The external validation cohort consisted of 6174 patients of the SLNWG from the USA, Europe, and Israel. A positive sentinel node was found in 788 patients (12.8%). The area under the time-dependent receiver operating characteristic (ROC) curve of the external validation was 0.76 (95% c.i. 0.74 to 0.77) for RFS and 0.79 (95% c.i. 0.76 to 0.81) for MSS. The model was well calibrated, as the observed 5-year survival rates aligned closely with the predicted survival rates (calibration slope of 0.98 for RFS and calibration slope of 0.99 for MSS). The model provided a net benefit versus the ‘treat all’ and ‘treat none’ strategies at the predetermined probability threshold for recurrence of 45%. Conclusion The model demonstrated good performance in a large heterogeneous independent cohort, emphasizing its robustness. Decision curve analysis revealed a clear net benefit of the model over a treat all strategy, highlighting its potential for clinical use.