The American journal of medicine
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Randomized Controlled Trial Multicenter Study
Effects of Extended-Release Niacin Added to Simvastatin/Ezetimibe on Glucose and Insulin Values in AIM-HIGH.
Niacin is an antidyslipidemic agent that may cause blood sugar elevation in patients with diabetes, but its effects on glucose and insulin values in nondiabetic statin-treated subjects with cardiovascular disease and at high risk for diabetes are less well known. ⋯ The addition of ERN to simvastatin/ezetimibe had marginal effects on glycemia in those with diabetes at baseline, and there was a trend toward increased development of new-onset diabetes. In addition, ERN increased the risk of developing impaired fasting glucose, which may have deleterious consequences over time and warrants further study.
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Randomized Controlled Trial
Mindfulness Meditation Modulates Pain Through Endogenous Opioids.
Recent evidence supports the beneficial effects of mindfulness meditation on pain. However, the neural mechanisms underlying this effect remain poorly understood. We used an opioid blocker to examine whether mindfulness meditation-induced analgesia involves endogenous opioids. ⋯ These findings show, for the first time, that meditation involves endogenous opioid pathways, mediating its analgesic effect and growing resilient with increasing practice to external suggestion. This finding could hold promising therapeutic implications and further elucidate the fine mechanisms involved in human pain modulation.
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Determining risk factors for opioid abuse or dependence will help clinicians practice informed prescribing and may help mitigate opioid abuse or dependence. The purpose of this study is to identify variables predicting opioid abuse or dependence. ⋯ Readily available demographic, clinical, behavioral, pharmacy, and geographic information can be used to predict the likelihood of opioid abuse or dependence.
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Real-time automated continuous sampling of electronic medical record data may expeditiously identify patients at risk for death and enable prompt life-saving interventions. We hypothesized that a real-time electronic medical record-based alert could identify hospitalized patients at risk for mortality. ⋯ An automated alert system that continuously samples electronic medical record data can be implemented, has excellent test characteristics, and can assist in the real-time identification of hospitalized patients at risk for death.