Relation of Diabetes to Cognitive Function in Hispanics/Latinos of Diverse Backgrounds in the United States

Objectives:To examine the association between diabetes and cognitive function within U.S. Hispanics/Latinos of Central American, Cuban, Dominican, Mexican, Puerto Rican, and South American background. Method: This cross-sectional study included 9,609 men and women (mean age = 56.5 years), who are members of the Hispanic Community Health Study/Study of Latinos. We classified participants as having diabetes, prediabetes, or normal glucose regulation. Participants underwent a neurocognitive battery consisting of tests of verbal fluency, delayed recall, and processing speed. Analyses were stratified by Hispanic/Latino subgroup. Results: From fully adjusted linear regression models, compared with having normal glucose regulation, having diabetes was associated with worse processing speed among Cubans (β = −1.99; 95% CI [confidence interval] = [−3.80, −0.19]) and Mexicans (β = −2.26; 95% CI = [−4.02, −0.51]). Compared with having normal glucose regulation, having prediabetes or diabetes was associated with worse delayed recall only among Mexicans (prediabetes: β = −0.34; 95% CI = [−0.63, −0.05] and diabetes: β = −0.41; 95% CI = [−0.79, −0.04]). No associations with verbal fluency. Discussion: The relationship between diabetes and cognitive function varied across Hispanic/Latino subgroup

DASH diet and prevalent metabolic syndrome in the Hispanic Community Health Study/Study of Latinos

The Dietary Approaches to Stop Hypertension (DASH) diet is recommended for lowering blood pressure and preventing cardiovascular disease (CVD), but little data exist on these associations in US Hispanics/Latinos. We sought to assess associations between DASH score and prevalence of metabolic syndrome (MetS) and its components in diverse Hispanics/Latinos. We studied 10,741 adults aged 18–74 in the multicenter Hispanic Community Health Study/Study of Latinos. Dietary intake was measured using two 24-hour recalls, and MetS defined per the 2009 harmonized guidelines. We assessed cross-sectional associations of DASH score and MetS (and its dichotomized components) using survey logistic regression, and DASH and MetS continuous components using linear regression. We also stratified these models by Hispanic/Latino heritage group to explore heritage-specific associations. We found no associations between DASH and MetS prevalence. DASH was inversely associated with both measures of blood pressure (p < 0.01 for systolic and p < 0.001 for diastolic) in the overall cohort. DASH was also inversely associated with diastolic blood pressure in the Mexican (p < 0.05), Central American (p < 0.05), and South American (p < 0.01) groups; triglycerides (p < 0.05) in the Central American group; fasting glucose overall (p < 0.01) and in the Mexican group (p < 0.01); and waist circumference overall (p < 0.05) and in the South American group (p < 0.01). DASH was positively associated with HDL-cholesterol (p < 0.01) in the Central American group. DASH may better capture diet-MetS associations in Hispanic/Latino subpopulations such as Central/South Americans; this study also adds evidence that Hispanics/Latinos should be analyzed by heritage. Further research, and/or culturally tailored DASH measures will help further explain between-heritage differences

Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups.

We assess performance and limitations of polygenic risk scores (PRSs) for multiple blood pressure (BP) phenotypes in diverse population groups. We compare "clumping-and-thresholding" (PRSice2) and LD-based (LDPred2) methods to construct PRSs from each of multiple GWAS, as well as multi-PRS approaches that sum PRSs with and without weights, including PRS-CSx. We use datasets from the MGB Biobank, TOPMed study, UK biobank, and from All of Us to train, assess, and validate PRSs in groups defined by self-reported race/ethnic background (Asian, Black, Hispanic/Latino, and White). For both SBP and DBP, the PRS-CSx based PRS, constructed as a weighted sum of PRSs developed from multiple independent GWAS, perform best across all race/ethnic backgrounds. Stratified analysis in All of Us shows that PRSs are better predictive of BP in females compared to males, individuals without obesity, and middle-aged (40-60 years) compared to older and younger individuals

A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood

In a multi-stage analysis of 52,436 individuals aged 17-90 across diverse cohorts and biobanks, we train, test, and evaluate a polygenic risk score (PRS) for hypertension risk and progression. The PRS is trained using genome-wide association studies (GWAS) for systolic, diastolic blood pressure, and hypertension, respectively. For each trait, PRS is selected by optimizing the coefficient of variation (CV) across estimated effect sizes from multiple potential PRS using the same GWAS, after which the 3 trait-specific PRSs are combined via an unweighted sum called “PRSsum”, forming the HTN-PRS. The HTN-PRS is associated with both prevalent and incident hypertension at 4-6 years of follow up. This association is further confirmed in age-stratified analysis. In an independent biobank of 40,201 individuals, the HTN-PRS is confirmed to be predictive of increased risk for coronary artery disease, ischemic stroke, type 2 diabetes, and chronic kidney disease

Trajectories of Blood Pressure Control a Year After Randomization and Incident Cardiovascular Outcomes in SPRINT

Abstract BACKGROUND While studies have assessed the association between blood pressure trajectories and cardiovascular disease (CVD) outcomes using observational data, few have assessed these associations using clinical trial data. We sought to identify systolic blood pressure (SBP) trajectories and to determine if these trajectory patterns carry inherent CVD risk, irrespective of baseline blood pressure. METHODS SBP trajectories were identified using latent class group-based modeling among a cohort of Systolic Blood Pressure Intervention Trial (SPRINT) participants by incorporating SBP measures during the first 12 months of the trial postrandomization. Cox models were used to evaluate the association between SBP trajectory with CVD and all-cause mortality. RESULTS Four distinct SBP trajectories were identified: “low decline” (41%), “high decline” (6%), “low stable” (48%), and “high stable” (5%). Relative to the “low decline” group, the “low stable” group was associated with a 29% increased risk of CVD (hazard ratio [HR]: 1.29, 95% confidence interval [CI]: 1.06–1.57) and the “high stable” group was associated with a 76% increased risk of all-cause mortality (HR: 1.76, 95% CI: 1.15–2.68). Relative to the “low stable” group, the “high stable” group was associated with a 54% increased risk of all-cause mortality (HR: 1.54, 95% CI: 1.05–2.28). CONCLUSIONS Our results demonstrate that SBP trajectory patterns are associated with important cardiovascular outcomes, irrespective of baseline blood pressure, which may help better identify individuals at risk and assist with accurate adjudication of antihypertensive therapy to reduce future events

Abstract 14652: Systolic Blood Pressure Trajectories and Cardiovascular Outcomes in SPRINT

Introduction: Blood pressure trajectories have been associated with cardiovascular disease (CVD) in observational studies. It is unclear whether these associations are independent of average blood pressure over time. Methods: We used data from SPRINT to identify systolic blood pressure (SBP) trajectories among a cohort of 8901 participants by incorporating SBP measures during the first 12 months of the trial post randomization. Trajectories were identified using latent class based modeling. Study outcomes included incident CVD, defined as myocardial infarction, acute coronary syndrome not resulting in myocardial infarction, stroke, acute decompensated heart failure, or death attributable to CVD, and all-cause mortality. Cox proportional hazards models were used to evaluate associations between SBP trajectories and our outcomes of interest. Results: Four distinct SBP trajectories were identified: ‘low decline’ (40%), ‘high decline’ (6%), ‘low stable’ (48%), and ‘high stable’ (5%) (Figure 1). Relative to the low decline group, the low stable group was associated with a 29% increased risk of CVD (HR: 1.29, 95%CI: 1.06-1.57) and the high stable group was associated with a 76% increased risk of all-cause mortality (HR: 1.76, 95%CI: 1.15-2.68) after baseline multivariable adjustment. Relative to the low stable group, the high stable group was associated with a 54% increased risk of all-cause mortality (HR: 1.54, 95%CI: 1.05-2.28). When adjusting for average blood pressure across the 12 month time period, there were no significant differences in outcomes. Conclusion: We identified 4 SBP trajectories using data from SPRINT and found differences in the risk of CVD and all-cause mortality after baseline adjustment. However, there were no differences in the risk of these outcomes after adjusting for average blood pressure over time. These results suggest that the pattern of blood pressure control may not be relevant as long as the target blood pressure is achieved

J Aging Health

Objective: We aimed to examine whether variability in high-density lipoprotein cholesterol (HDL-c) over time was associated with cognitive function. Method: We conducted a post hoc analysis of the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER) trial. Our sample included 4,428 participants with at least two repeated HDL-c measures between Months 3 and 24 postbaseline and with cognitive assessments at Month 30. HDL-c variability was defined as the intraindividual standard deviation over each person's repeated measurements. Results: Higher HDL-c variability was associated with worse performance on the Letter-Digit Coding Test (β [95% confidence interval] [CI] = -4.39 [-7.36, -1.43], p = .004), immediate recall on the 15-Picture Learning Test (β [95% CI] = -0.98 [-1.86, -0.11], p = .027), and delayed recall on the 15-Picture Learning Test (β [95% CI] = -1.90 [-3.14, -0.67], p = .002). The associations did not vary by treatment group. Discussion: Our findings suggest that variability in HDL-c may be associated with poor cognitive function among older adults

Maintaining Normal Blood Pressure Across the Life Course: The JHS

[Figure: see text]