Faculty Bibliography

Migraine affects over 40 million Americans and is the world's second most disabling condition. As the majority of medical care for migraine occurs in primary care settings, not in neurology nor headache subspecialty practices, healthcare system interventions should focus on primary care. Though there is grade A evidence for behavioral treatment (e.g., biofeedback, cognitive behavioral therapy (CBT), and relaxation techniques) for migraine, these treatments are underutilized. Behavioral treatments may be a valuable alternative to opioids, which remain widely used for migraine, despite the US opioid epidemic and guidelines that recommend against them. Identifying and removing barriers to the use of headache behavioral therapy could help reduce the disability as well as the personal and social costs of migraine. These techniques will have their greatest impact if offered in primary care settings to the lower socioeconomic status groups at greatest risk for migraine. We review the societal and cultural challenges that impose barriers to optimal use of non-pharmacological treatment services. These barriers include insufficient knowledge of migraine/headache behavioral treatments and insufficient availability of clinicians trained in non-pharmacological treatment delivery; limited access in underserved communities; financial burden; and stigma associated with both headache and mental health diagnoses and treatment. For each barrier, we discuss potential approaches to minimizing its effect and thus enhancing non-pharmacological treatment utilization.Case ExampleA 25-year-old graduate student with a prior history of headaches in college is attending school in the evenings while working a full-time job. Now, his headaches have significant nausea and photophobia. They are twice weekly and are disabling enough that he is unable to complete homework assignments. He does not understand why the headaches occur on Saturdays when he pushes through all week to get through his examinations that take place on Friday evenings. He tried two different migraine preventive medications, but neither led to the 50% reduction in headache days his doctor had hoped for. His doctor had suggested cognitive behavioral therapy (CBT) before initiating the medications, but he had been too busy to attend the appointments, and the challenges in finding an in-network provider proved difficult. Now with the worsening headaches, he opted for the CBT and by the fifth week had already noted improvements in his headache frequency and intensity.

More stringent blood pressure (BP) goals have led to greater prevalence of apparent resistant hypertension (ARH), yet the long-term prognostic impact of ARH diagnosed according to these goals in the general population remains unknown. We assessed the prognostic impact of ARH according to contemporary BP goals in 9612 participants of the Atherosclerosis Risk in Communities (ARIC) study without previous cardiovascular disease. ARH, defined as BP above goal (traditional goal <140/90 mmHg, more stringent goal <130/80 mmHg) despite the use of ≥3 antihypertensive drug classes or any BP with ≥4 antihypertensive drug classes (one of which was required to be a diuretic) was compared with controlled hypertension (BP at goal with 1-3 antihypertensive drug classes). Cox regression models were adjusted for age, sex, race, study center, BMI, heart rate, smoking, eGFR, LDL, HDL, triglycerides, and diabetes. Using the traditional BP goal, 133 participants (3.8% of the treated) had ARH. If the more stringent BP goal was instead applied, 785 participants (22.6% of the treated) were reclassified from controlled hypertension to uncontrolled hypertension (n = 725) or to ARH (n = 60). Over a median follow-up time of 19 years, ARH was associated with increased risk for a composite end point (all-cause mortality, hospitalization for myocardial infarction, stroke, or heart failure) regardless of whether traditional (adjusted HR 1.50, 95% CI: 1.23-1.82) or more stringent (adjusted HR 1.43, 95% CI: 1.20-1.70) blood pressure goals were applied. We conclude that in patients free from cardiovascular disease, ARH predicted long-term risk regardless of whether traditional or more stringent BP criteria were applied.

INTRODUCTION/BACKGROUND:Cardiovascular disease is the leading cause of death worldwide, and cardiovascular disease burden is increasing in low-resource settings and for lower socioeconomic groups. Machine learning algorithms are being developed rapidly and incorporated into clinical practice for cardiovascular disease prediction and treatment decisions. Significant opportunities for reducing death and disability from cardiovascular disease worldwide lie with accounting for the social determinants of cardiovascular outcomes. This study reviews how social determinants of health are being included in machine learning algorithms to inform best practices for the development of algorithms that account for social determinants. METHODS:A systematic review using 5 databases was conducted in 2020. English language articles from any location published from inception to April 10, 2020, which reported on the use of machine learning for cardiovascular disease prediction that incorporated social determinants of health, were included. RESULTS:Most studies that compared machine learning algorithms and regression showed increased performance of machine learning, and most studies that compared performance with or without social determinants of health showed increased performance with them. The most frequently included social determinants of health variables were gender, race/ethnicity, marital status, occupation, and income. Studies were largely from North America, Europe, and China, limiting the diversity of the included populations and variance in social determinants of health. DISCUSSION/CONCLUSIONS:Given their flexibility, machine learning approaches may provide an opportunity to incorporate the complex nature of social determinants of health. The limited variety of sources and data in the reviewed studies emphasize that there is an opportunity to include more social determinants of health variables, especially environmental ones, that are known to impact cardiovascular disease risk and that recording such data in electronic databases will enable their use.

OBJECTIVES:To determine whether lower serum albumin in community-dwelling, older adults is associated with increased risk of hospitalization and death independent of pre-existing disease. DESIGN:Prospective cohort study of participants in the fifth visit of the Atherosclerosis Risk in Communities (ARIC) study. Baseline data were collected from 2011 to 2013. Follow-up was available to December 31, 2017. Replication was performed in Geisinger, a health system in rural Pennsylvania. SETTING:For ARIC, four US communities: Washington County, Maryland; Forsyth County, North Carolina; Jackson, Mississippi; and suburbs of Minneapolis, Minnesota. PARTICIPANTS:A total of 4947 community-dwelling men and women aged 66 to 90 years. EXPOSURE:Serum albumin. MAIN OUTCOMES:Incident all-cause hospitalization and death. RESULTS:Among the 4947 participants, mean age was 75.5 years (SD: 5.12) and mean baseline serum albumin concentration was 4.05 g/dL (SD: 0.30). Over a median follow-up period of 4.42 years (interquartile interval: 4.16-5.05), 553 participants (11.2%) died and 2457 participants (49.7%) were hospitalized at least once. The total number of hospitalizations was 5725. In analyses adjusted for demographics and numerous clinical characteristics, including tobacco use, obesity, frailty, cardiovascular disease, kidney disease, diabetes C-reactive protein (CRP), cognitive status, alcohol use, medication use, respiratory disease, and systolic blood pressure, 1 g/dL lower baseline serum albumin concentration was associated with higher risk of both hospitalization (incidence rate ratio [IRR]: 1.58; 95% confidence interval [CI]: 1.36-1.82; p < 0.001) and death (hazard ratio [HR]: 1.67; 95% CI: 1.24-2.24; p < 0.001). Associations were weaker with older age but not different by frailty status or level of high-sensitivity CRP. Associations between serum albumin, hospitalizations, and death were also similar in a real-world cohort of primary care patients. CONCLUSIONS:Lower baseline serum albumin was significantly associated with increased risk of both all-cause hospitalization and death, independent of pre-existing disease. Older adults with low serum albumin should be considered a high-risk population and targeted for interventions to reduce the risk of adverse outcomes.

Chronic kidney disease (CKD) affects 15-20% of adults globally and causes various complications, one of the most important being cardiovascular disease (CVD). CKD has been associated with many CVD subtypes, especially severe ones like heart failure, independent of potential confounders such as diabetes and hypertension. There is no consensus in major clinical guidelines as to how to incorporate the two key measures of CKD (glomerular filtration rate and albuminuria) for CVD risk prediction. This is a critical missed opportunity to appropriately refine predicted risk and personalize prevention therapies according to CKD status, particularly since these measures are often already evaluated in clinical care. In this review, we provide an overview of CKD definition and staging, the subtypes of CVD most associated with CKD, major pathophysiological mechanisms, and the current state of CKD as a predictor of CVD in major clinical guidelines. We will introduce the novel concept of a "CKD Add-on", which allows the incorporation of CKD measures in existing risk prediction models, and the implications of taking into account CKD in the management of CVD risk.

Federally Qualified Health Centers (FQHCs) provide primary care services in underserved areas and are governed by patient-majority boards. A phenomenological approach was used to explore the lived experiences of board members as they addressed the need for fundamental change to meet the demands of a rapidly changing, highly competitive health care market (2010-2020). Findings were that board members rely upon personal experience and monthly board meetings to be alerted to change that affects health care delivery. They may need additional training to adjust governance and organizational performance to address the new patient consumerism, market conditions, and competition from other providers.

Maintaining influenza vaccination at high coverage has the potential to prevent a proportion of COVID-19 morbidity and mortality. We examined whether flu-vaccination is associated with severe corona virus disease 2019 (COVID-19) disease, as measured by intensive care unit (ICU)-admission, ventilator-use, and mortality. Other outcome measures included hospital length of stay and total ICU days. Our findings showed that flu-vaccination was associated with a significantly reduced likelihood of an ICU admission especially among aged <65 and non-obese patients. Public health promotion of flu-vaccination may help mitigate the overwhelming demand for critical COVID-19 care pending the large-scale availability of COVID-19 vaccines.

TikTok is a social network launched in 2016, which is used to create and share short videos (≤60 seconds). TikTok was the most downloaded app in the U.S. in 2018 and 2019 and is currently available in >55 countries. Similar to other social networks, TikTok users can follow other content creators and view a feed of videos. Users may associate their videos with captions and hashtags, and comment on others' videos. TikTok has 800 million total active users with >1 billion videos viewed daily.[1].