Unlabelled: Patients with inflammatory conditions are at high risk for cardiovascular (CV) disease. Despite such elevated risk, their CV risk factors are suboptimally managed.
Objective: To evaluate the effect of a pharmacist-led intervention on CV risk in patients with inflammatory conditions.
Methods: DESIGN: Prospective pre-postintervention.
Setting: 17 community pharmacies across Alberta.
Population: Adults with inflammatory conditions (rheumatoid arthritis, psoriatic arthritis, ankylosing spondylitis, gout, systemic lupus erythematosus, psoriasis vulgaris) who had at least one uncontrolled risk factor (A1C, blood pressure, LDL-cholesterol or current tobacco users).
Intervention: All patients enrolled in the study received: physical and laboratory assessment, individualised CV risk assessment and education regarding this risk, treatment recommendations, prescription adaptation and prescribing where necessary to meet treatment targets, regular communication with the patient's treating physician(s) and regular follow-up with all patients every month for 6 months.
Outcomes: Primary: change in estimated CV risk (risk of a major CV event in the next 10 years) after 6 months. Secondary: change in individual risk factors (blood pressure, LDL-cholesterol, A1C and tobacco cessation) over a 6-month period.
Results: We enrolled 99 patients. The median age was 66.41 years (IQR 57.64-72.79), More than half of them (61%) were female and more than three-quarters (86%) were Caucasians. After adjusting for age, sex and ethnicity and centre effect, there was a reduction of 24.5% in CV risk (p<0.001); including a reduction of 0.3 mmol/L in LDL-c (p<0.001), 10.7 mm Hg in systolic blood pressure (p<0.001), 1.25% in A1C (p<0.001). There was a non-significant trend towards tobacco cessation.
Conclusion: This is the first study on CV risk reduction in patients with inflammatory conditions in a community pharmacy setting. RIALTA provides evidence for the benefit of pharmacist care on global cardiovascular risk reduction as well as the individual cardiovascular risk factors in patients with inflammatory conditions.
Trial Registration Number: NCT03152396.
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http://dx.doi.org/10.1136/bmjopen-2020-043612 | DOI Listing |
Sci Rep
December 2024
School of Physical Education, Southwest Petroleum University, Chengdu, 610500, China.
Stroke is one of the leading causes of death in developing countries, and China bears the largest global burden of stroke. This study aims to investigate the relationship between different dimensions of physical activity levels and stroke risk using a nationally representative database. We performed a cross-sectional analysis using data from the China Health and Retirement Longitudinal Study (CHARLS) 2020.
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December 2024
The School of Nursing, Fujian Medical University, No. 1 Xuefu North Road, Fuzhou, 350122, Fujian, China.
Diabetes Mellitus combined with Mild Cognitive Impairment (DM-MCI) is a high incidence disease among the elderly. Patients with DM-MCI have considerably higher risk of dementia, whose daily self-care and life management (i.e.
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December 2024
College of Mechanical and Electronic Engineering, Dalian Minzu University, Dalian, 116650, Liaoning, China.
The novel coronavirus (COVID-19) has affected more than two million people of the world, and far social distancing and segregated lifestyle have to be adopted as a common solution in recent years. To solve the problem of sanitation control and epidemic prevention in public places, in this paper, an intelligent disinfection control system based on the STM32 single-chip microprocessor was designed to realize intelligent closed-loop disinfection in local public places such as public toilets. The proposed system comprises seven modules: image acquisition, spraying control, disinfectant liquid level control, access control, voice broadcast, system display, and data storage.
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December 2024
Weather Program Office, Ocean and Atmospheric Research, NOAA, Silver Spring, MD, USA.
Tropical cyclone risks are expected to increase with climate change. One such risk is extreme ocean waves generated by surface winds from these systems. We use synthetic databases of both historical (1980-2017) and future (2015-2050) tropical cyclone tracks to generate wind fields and force a computationally efficient wave model to estimate significant wave heights across all global tropical cyclone basins.
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December 2024
Division of Computational & Data Sciences, Washington University in St. Louis, St. Louis, MO, USA.
Context shapes how we perceive choices and, therefore, how we decide between them. For instance, a large body of literature on the "framing effect" demonstrates that people become more risk-seeking when choices are framed in terms of losses. Despite this research, it remains unknown how people make choices between contexts and how these choices affect subsequent decision making.
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