Articles: cations.
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Aromatase inhibitors (AIs), which potently inhibit estrogen biosynthesis, are a standard treatment for hormone sensitive early-stage breast cancer. AIs have been associated with substantial joint pain and muscle stiffness (aromatase inhibitor-associated musculoskeletal syndrome). However, the link between AIs and number of clinical pain locations and pain sensitivity are less well understood. The aim of this study was to compare longitudinal changes in clinical pain and quantitative pain sensitivity between women who did or did not receive AI therapy. ⋯ AI therapy was associated with increased diffuse joint-related pain and greater post-treatment pain sensitivity, potentially implicating central sensitization as a contributing pain mechanism of aromatase inhibitor-associated musculoskeletal syndrome worthy of future investigation.
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Response to analgesic therapy is influenced by several factors including genetics and drug-drug interactions. Pharmacogenetic (PGx) variants in the CYP2D6 gene modify response to opioids by altering drug metabolism. We sought to determine the potential impact of PGx testing on the care of Veterans with noncancer pain prescribed opioids metabolized by CYP2D6 (codeine, hydrocodone, or tramadol). ⋯ An estimated 21.6% (n = 526,905) of these patients are at an elevated risk of an undesirable response to their opioid medication based on predicted phenotypes and drug-drug interactions: 3.5% are predicted CYP2D6 ultrarapid metabolizers and at increased risk for toxicity, 5.4% are poor metabolizers at higher risk for nonresponse, and 12.8% are normal or intermediate metabolizers coprescribed a CYP2D6 inhibitor leading to phenoconversion into poor metabolizer. Despite the high rate of coprescription of opioids and interacting drugs, CYP2D6 testing was infrequent in the sample (0.02%), and chart review suggests that test results were used to optimize antidepressant treatments rather than pain medications. Using PGx testing combined with consideration of phenoconversion may allow for an enhanced precision medicine approach to pain management in Veterans.
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Recently, interest and advances in artificial intelligence (AI) including deep learning for medical images have surged. As imaging plays a major role in the assessment of pulmonary diseases, various AI algorithms have been developed for chest imaging. Some of these have been approved by governments and are now commercially available in the marketplace. ⋯ While AI is a powerful technology that can be applied to medical imaging and is expected to improve our current clinical practice, some obstacles must be addressed for the successful implementation of AI in workflows. Understanding and becoming familiar with the current status and potential clinical applications of AI in chest imaging, as well as remaining challenges, would be essential for radiologists and clinicians in the era of AI. This review introduces the potential clinical applications of AI in chest imaging and also discusses the challenges for the implementation of AI in daily clinical practice and future directions in chest imaging.
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Pain is one of the most feared consequences of cancer for patients and their families. Many barriers may hinder optimal pain management. ⋯ Patients suffering from cancer-related pain can benefit from remote-based monitoring and education programs to improve pain management outcomes, overcome barriers, and increase adherence. Further research is needed to investigate the different available educational methods and long-term effects.
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Osteoarthritis pain affects the lives of a large number of people around the world. Understanding other people's experience is integral to effective care, and qualitative research can have an important part to play in education and good clinical practice. We aimed to systematically search for, identify, and synthesise qualitative research exploring the experience of living with osteoarthritis to incorporate this knowledge into an educational resource. ⋯ Our findings highlight the profound impact that osteoarthritis can have on people's lives and the struggle to hold onto a sense of self. They indicate that recognising these losses, and taking osteoarthritis seriously, is an integral part of effective health care. This finding may be transferable beyond this condition.