Faculty Bibliography

BACKGROUND:Studies have demonstrated the value of transthoracic echocardiogram (TTE) diastolic parameters in predicting left atrial appendage (LAA) thrombus; however, these studies have been small. We aim to clarify the relationship between TTE diastolic parameters, in particular average e', and LAA thrombus or sludge. METHODS:A case-control review was conducted of subjects with non-valvular atrial fibrillation (n = 2263) who had undergone TEE (transesophageal echocardiogram) and had a TTE within 1 year of TEE. Cases of LAA sludge or thrombus were matched to controls by age, sex, left ventricular ejection fraction (LVEF), and anticoagulation status. RESULTS:Forty-three subjects (mean age 73 ± 12, 65% male, LVEF 47%, 44% on anticoagulation) with LAA sludge or thrombus were identified. Compared to matched controls, average TTE e' (7.3 ± 2.1 cm/s vs 8.7 ± 2.1 cm/s, P < 0.001) and the E:e' ratio (15 ± 7 cm/s vs 12 ± 5 cm/s; P = 0.005) were significant predictors of LAA sludge or thrombus. Average TTE e' value of >11 cm/s had 100% sensitivity for ruling out LAA sludge or thrombus. CONCLUSION/CONCLUSIONS:In individuals with atrial fibrillation, average e' >11 cm/s on TTE is a promising independent predictor of the absence of LAA sludge or thrombus on TEE.

BACKGROUND:In the United States, 16 million immigrants are 50 years and older, but little is known about their cardiometabolic health and how to best assess their cardiovascular disease (CVD) risk. Aging immigrants may therefore not be benefitting from advances in CVD prevention. OBJECTIVE:In this study, we estimate and compare CVD risk in a nationally representative sample of aging immigrants using 3 different measures. METHODS:This was a cross-sectional analysis using National Health and Nutrition Examination Survey data. Immigrants 50 years and older with no history of CVD were eligible. The Framingham Risk Score (FRS), the American College of Cardiology/American Heart Association Pooled Cohort Risk Equation, and presence of metabolic syndrome (MetS) were used to estimate risk. Bivariate statistics were analyzed using SPSS version 23.0 Complex Survey module to account for National Health and Nutrition Examination Survey unique weighting scheme. RESULTS:The mean age of the sample was 61.3 years; 40% had hypertension, 17% had diabetes, 10% were smokers, and 95% did not meet the recommended physical activity guidelines. Proportions at an elevated CVD risk were as follows: American College of Cardiology/American Heart Association, 42% female and 76% male; FRS, 17.4% female and 76% male; and MetS, 22% female and 24% male. CONCLUSIONS:Immigrants had a lower overall risk using MetS and the American College of Cardiology/American Heart Association equation than has been found using these tools in similarly aged samples. The opposite was true for the FRS. The discrepancy between the proportion at risk and those being treated may reflect healthcare access gaps that warrant further investigation. A more holistic approach to risk measurement is needed that accounts for determinants of health that disproportionately affect immigrants, including language and socioeconomic status.

On average, African Americans with multiple sclerosis demonstrate higher inflammatory disease activity, faster disability accumulation, greater visual dysfunction, more pronounced brain tissue damage and higher lesion volume loads compared to Caucasian Americans with multiple sclerosis. Neurodegeneration is an important component of multiple sclerosis, which in part accounts for the clinical heterogeneity of the disease. Brain atrophy appears to be widespread, although it is becoming increasingly recognized that regional substructure atrophy may be of greater clinical relevance. Patient race (within the limitations of self-identified ancestry) is regarded as an important contributing factor. However, there is a paucity of studies examining differences in neurodegeneration and brain substructure volumes over time in African Americans relative to Caucasian American patients. Optical coherence tomography is a non-invasive and reliable tool for measuring structural retinal changes. Recent studies support its utility for tracking neurodegeneration and disease progression in vivo in multiple sclerosis. Relative to Caucasian Americans, African American patients have been found to have greater retinal structural injury in the inner retinal layers. Increased thickness of the inner nuclear layer and the presence of microcystoid macular pathology at baseline predict clinical and radiological inflammatory activity, although whether race plays a role in these changes has not been investigated. Similarly, assessment of outer retinal changes according to race in multiple sclerosis remains incompletely characterized. Twenty-two African Americans and 60 matched Caucasian Americans with multiple sclerosis were evaluated with brain MRI, and 116 African Americans and 116 matched Caucasian Americans with multiple sclerosis were monitored with optical coherence tomography over a mean duration of 4.5 years. Mixed-effects linear regression models were used in statistical analyses. Grey matter (-0.9%/year versus -0.5%: P =0.02), white matter (-0.7%/year versus -0.3%: P =0.04) and nuclear thalamic (-1.5%/year versus -0.7%/year: P =0.02) atrophy rates were approximately twice as fast in African Americans. African Americans also exhibited higher proportions of microcystoid macular pathology (12.1% versus 0.9%, P =0.001). Retinal nerve fibre layer (-1.1% versus -0.8%: P =0.02) and ganglion cell+ inner plexiform layer (-0.7%/year versus -0.4%/year: P =0.01) atrophy rates were faster in African versus Caucasian Americans. African Americans on average exhibited more rapid neurodegeneration than Caucasian Americans and had significantly faster brain and retinal tissue loss. These results corroborate the more rapid clinical progression reported to occur, in general, in African Americans with multiple sclerosis and support the need for future studies involving African Americans in order to identify individual differences in treatment responses in multiple sclerosis.

OBJECTIVES/OBJECTIVE:To develop a values-based, clinically feasible process to help older adults identify health priorities that can guide clinical decision-making. DESIGN/METHODS:Prospective development and feasibility study. SETTING/METHODS:Primary care practice in Connecticut. PARTICIPANTS/METHODS:Older adults with 3 or more conditions or taking 10 or more medications (N=64). INTERVENTION/METHODS:The development team of patients, caregivers, and clinicians used a user-centered design framework-ideate → prototype → test →redesign-to develop and refine the value-based patient priorities care process and medical record template with trained clinician facilitators. MEASUREMENTS/METHODS:We used descriptive statistics of quantitative measures (percentage accepted invitation and completed template, duration of process) and qualitative analysis of barriers and enablers (challenges and solutions identified, facilitator perceptions). RESULTS:We developed and refined a process for identifying patient health priorities that was typically completed in 35 to 45 minutes over 2 sessions; 64 patients completed the process. Qualitative analyses were used to elucidate the characteristics and training needed for the patient priorities facilitators, as well as perceived benefits and challenges of the process. Refinements based on our experience and feedback include streamlining the process for greater feasibility, balancing fidelity to the process while customizing to individuals, encouraging patients to share their priorities with their clinicians, and simplifying the template transmitted to clinicians. CONCLUSION/CONCLUSIONS:Trained facilitators conducted this process in a busy primary care practice, suggesting that patient priorities identification is feasible and acceptable, although testing in additional settings is necessary. We hope to show that clinicians can align care with patients' health priorities.

Older adults with multiple chronic conditions (MCCs) receive care that is fragmented and burdensome, lacks evidence, and most importantly is not focused on what matters most to them. An implementation feasibility study of Patient Priorities Care (PPC), a new approach to care that is based on health outcome goals and healthcare preferences, was conducted. This study took place at 1 primary care and 1 cardiology practice in Connecticut and involved 9 primary care providers (PCPs), 5 cardiologists, and 119 older adults with MCCs. PPC was implemented using methods based on a practice change framework and continuous plan-do-study-act (PDSA) cycles. Core elements included leadership support, clinical champions, priorities facilitators, training, electronic health record (EHR) support, workflow development and continuous modification, and collaborative learning. PPC processes for clinic workflow and decision-making were developed, and clinicians were trained. After 10 months, 119 older adults enrolled and had priorities identified; 92 (77%) returned to their PCP after priorities identification. In 56 (46%) of these visits, clinicians documented patient priorities discussions. Workflow challenges identified and solved included patient enrollment lags, EHR documentation of priorities discussions, and interprofessional communication. Time for clinicians to provide PPC remains a challenge, as does decision-making, including clinicians' perceptions that they are already doing so; clinicians' concerns about guidelines, metrics, and unrealistic priorities; and differences between PCPs and patients and between PCPs and cardiologists about treatment decisions. PDSA cycles and continuing collaborative learning with national experts and peers are taking place to address workflow and clinical decision-making challenges. Translating disease-based to priorities-aligned decision-making appears challenging but feasible to implement in a clinical setting.

Many individuals with prediabetes, as presently defined, will progress to diabetes (T2D) despite the considerable benefit of lifestyle modification. Therefore, it is paramount to screen individuals at increased risk with a more sensitive method capable of identifying prediabetes at an even earlier time point in the lengthy trajectory to T2D. This petition reviews findings demonstrating that the 1-hour (1-h) postload plasma glucose (PG) ≥ 155 mg/dl (8.6 mmol/l) in those with normal glucose tolerance (NGT) during an oral glucose tolerance test (OGTT) is highly predictive for detecting progression to T2D, micro- and macrovascular complications and mortality in individuals at increased risk. Furthermore, the STOP Diabetes study documented effective interventions that reduce the future risk of T2D in those with NGT and a 1-h PG ≥ 155 mg/dl (8·6 mmol/L). The 1-h OGTT represents a valuable opportunity to extend the proven benefit of diabetes prevention to the sizeable and growing population of individuals at increased risk of progression to T2D. The substantial evidence provided in this petition strongly supports redefining current diagnostic criteria for prediabetes with the elevated 1-h PG level. The authors therefore advocate a 1-h OGTT to detect prediabetes and hence, thwart the global diabetes epidemic.