Cumulative Use of Proton Pump Inhibitors and Risk of Dementia: The Atherosclerosis Risk in Communities Study.

BACKGROUND AND OBJECTIVES: Studies on the association between proton pump inhibitor (PPI) use and dementia report mixed results and do not examine the impact of cumulative PPI use. We evaluated the associations between current and cumulative PPI use and risk of incident dementia in the Atherosclerosis Risk in Communities (ARIC) Study. METHODS: These analyses used participants from a community-based cohort (ARIC) from the time of enrollment (1987-1989) through 2017. PPI use was assessed through visual medication inventory at clinic visits 1 (1987-1989) to 5 (2011-2013) and reported annually in study phone calls (2006-2011). This study uses ARIC visit 5 as baseline because this was the first visit in which PPI use was common. PPI use was examined 2 ways: current use at visit 5 and duration of use before visit 5 (from visit 1 to 2011, exposure categories: 0 day, 1 day-2.8 years, 2.8-4.4 years, >4.4 years). The outcome was incident dementia after visit 5. Cox proportional hazard models were used, adjusted for demographics, comorbid conditions, and other medication use. RESULTS: A total of 5,712 dementia-free participants at visit 5 (mean age 75.4 ± 5.1 years; 22% Black race; 58% female) were included in our analysis. The median follow-up was 5.5 years. The minimum cumulative PPI use was 112 days, and the maximum use was 20.3 years. There were 585 cases of incident dementia identified during follow-up. Participants using PPIs at visit 5 were not at a significantly higher risk of developing dementia during subsequent follow-up than those not using PPIs (hazard ratio (HR): 1.1 [95% confidence interval (CI) 0.9-1.3]). Those who used PPIs for >4.4 cumulative years before visit 5 were at 33% higher risk of developing dementia during follow-up (HR: 1.3 [95% CI 1.0-1.8]) than those reporting no use. Associations were not significant for lesser durations of PPI use. DISCUSSION: Future studies are needed to understand possible pathways between cumulative PPI use and the development of dementia. CLASSIFICATION OF EVIDENCE: This study provides Class III evidence that the use of prescribed PPIs for >4.4 years by individuals aged 45 years and older is associated with a higher incidence of newly diagnosed dementia.

Mobile health technology for hypertension management with Hmong and Latino adults: mixed-methods community-based participatory research.

OBJECTIVE: To identify Hmong and Latino adults' perspectives about a mHealth-based care model for hypertension (HTN) management involving blood pressure (BP) self-monitoring, electronic transmission of BP readings, and responsive HTN medication adjustment by a provider team. DESIGN: We conducted a mixed-methods formative study with 25 Hmong and 25 Latino participants with HTN at an urban federally-qualified health center. We used a tool to assess HTN knowledge and conducted open-ended interviews to identify perspectives about mHealth-based care model. RESULTS: While most participants agreed that lowering high blood pressure decreased the risk of strokes, heart attacks, and kidney failure, there were gaps in medical knowledge. Three major themes emerged about the mHealth-based care model: (1) Using mHealth technology could be useful, especially if assistance was available to patients with technological challenges; (2) Knowing blood pressures could be helpful, especially to patients who agreed with doctors' medical diagnosis and prescribed treatment; (3) Transmitting blood pressures to the clinic and their responsive actions could feel empowering, and the sense of increased surveillance could feel entrapping. Some people may feel empowered since it could increase patient-provider communication without burden of clinic visits and could increase involvement in BP control for those who agree with the medical model of HTN. However, some people may feel entrapped as it could breach patient privacy, interfere with patients' lifestyle choices, and curtail patient autonomy. CONCLUSIONS: In general, Hmong and Latino adults responded positively to the empowering aspects of the mHealth-based care model, but expressed caution for those who had limited technological knowledge, who did not agree with the medical model and who may feel entrapped. In a shared decision-making approach with patients and possibly their family members, health care systems and clinicians should explore barriers and potential issues of empowerment and entrapment when offering a mHealth care model in practice.

Body mass index prediction rule for mid-upper arm circumference: the atherosclerosis risk in communities study.

OBJECTIVES: Electronic health records (EHR) are a convenient data source for clinical trial recruitment and allow for inexpensive participant screening. However, EHR may lack pertinent screening variables. One strategy is to identify surrogate EHR variables which can predict the screening variable of interest. In this article, we use BMI to develop a prediction rule for arm circumference using data from the Atherosclerosis Risk in Communities (ARIC) Study. This work applies to EHR patient screening for clinical trials of hypertension. METHODS: We included 11 585 participants aged 52-75 years with BMI and arm circumference measured at ARIC follow-up visit 4 (1996-1998). We selected the following arm circumference cutpoints based on the American Heart Association recommendations for blood pressure (BP) cuffs: small adult (≤26 cm), adult (≤34 cm) and large adult (≤44 cm). We calculated the sensitivity and specificity of BMI values for predicting arm circumference using receiver operating characteristic curves. We report the BMI threshold that maximized Youden's Index for each arm circumference upper limit of a BP cuff. RESULTS: Participants' mean BMI and arm circumference were 28.8 ± 5.6 kg/m2 and 33.4 ± 4.3 cm, respectively. The BMI-arm circumference Pearson's correlation coefficient was 0.86. The BMI threshold for arm circumference≤26 cm was 23.0 kg/m2, arm circumference≤34 cm was 29.2 kg/m2 and arm circumference≤44 cm was 37.4 kg/m2. Only the BMI threshold for arm circumference≤34 cm varied significantly by sex. CONCLUSIONS: BMI predicts arm circumference with high sensitivity and specificity and can be an accurate surrogate variable for arm circumference. These findings are useful for participant screening for hypertension trials. Providers can use this information to counsel patients on appropriate cuff size for BP self-monitoring.

Association between post-stroke disability and 5-year hip-fracture risk: The Women's Health Initiative.

BACKGROUND: Hip fractures are a significant post-stroke complication. We examined predictors of hip fracture risk after stroke using data from the Women's Health Initiative (WHI). In particular, we examined the association between post-stroke disability levels and hip fracture risk. METHODS: The WHI is a prospective study of 161,808 postmenopausal women aged 50-79 years. Trained physicians adjudicated stroke events and hip fractures. Our study included stroke survivors from the observational and clinical trial arms who had a Glasgow Outcome Scale of good recovery, moderately disabled, or severely disabled and survived more than 7 days post-stroke. Hip fracture-free status was compared across disability levels. Secondary analysis examined hip fracture risk while accounting for competing risk of death. RESULTS: Average age at time of stroke was 74.6±7.2 years; 84.3% were white. There were 124 hip fractures among 4,640 stroke survivors over a mean follow-up time of 3.1±1.8 years. Mortality rate was 23.3%. Severe disability at discharge (Hazard Ratio (HR): 2.1 (95% Confidence Interval (CI): 1.4-3.2), but not moderate disability (HR: 1.1 (95%CI: 0.7-1.7), was significantly associated with an increased risk of hip fracture compared to good recovery status. This association was attenuated after accounting for mortality. White race, increasing age and higher Fracture Risk Assessment Tool (FRAX)-predicted hip fracture risk (without bone density information) were associated with an increased hip fracture risk. After accounting for mortality, higher FRAX risk and white race remained significant. CONCLUSION: Severe disability after stroke and a higher FRAX risk score were associated with risk of subsequent hip fracture. After accounting for mortality, only the FRAX risk score remained significant. The FRAX risk score appears to identify stroke survivors at high risk of fractures. Our results suggest that stroke units can consider the incorporation of osteoporosis screening into care pathways.