Articles: chronic-pain.
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The effect of chronic pain on brain-predicted age is unclear. We performed secondary analyses of a large cross-sectional and 3-year longitudinal data set from the Multidisciplinary Approach to the Study of Chronic Pelvic Pain Research Network to test the hypothesis that chronic pelvic pain accelerates brain aging and brain aging rate. Brain-predicted ages of 492 chronic pelvic pain patients and 72 controls were determined from T1-weighted MRI scans and used to calculate the brain-predicted age gap estimation (brainAGE; brain-predicted - chronological age). ⋯ Women with chronic pelvic pain had higher brainAGE than female controls, whereas men with chronic pelvic pain exhibited lower brainAGE than male controls on average-however, the effect was not statistically significant in men or women when considered independently. Secondary analyses demonstrated preliminary evidence of an association between inflammatory load and brainAGE. Further studies of brainAGE and inflammatory load are warranted.
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The aim of this systematic review and meta-analysis was to evaluate the effectiveness of the percutaneous electrical stimulation in the modulation of pain and its implication in the function of patients with a painful knee condition. ⋯ This review showed a positive effect of applying the percutaneous electrical stimulation reducing pain and improving function in adults with a painful knee.
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Anesthesia and analgesia · Oct 2024
Developing a Wearable Sensor-Based Digital Biomarker of Opioid Dependence.
Repeated opioid exposure leads to a variety of physiologic adaptations that develop at different rates and may foreshadow risk of opioid-use disorder (OUD), including dependence and withdrawal. Digital pharmacovigilance strategies that use noninvasive sensors to identify physiologic adaptations to opioid use represent a novel strategy to facilitate safer opioid prescribing. This study aims to identify wearable sensor-derived features associated with opioid dependence by comparing opioid-naïve individuals to chronic opioid users with acute pain and developing a machine-learning model to distinguish between the 2 groups. ⋯ Wearable sensor-derived digital biomarkers can be used to predict opioid use status (naïve versus chronic) and the differentiating features may be detecting opioid dependence. Future work should be aimed at further delineating the phenomenon identified in these models (including opioid dependence and/or withdrawal) and at identifying transition states where an individual changes from 1 profile to another with repetitive opioid exposure.
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Self-efficacy for pain management is the key to successful pain management, yet little is known about the effect of cognitive performance on self-efficacy for pain management. This study aimed to examine to what extent cognitive performance is related to self-efficacy for pain management in older adults with chronic pain. ⋯ Greater cognitive performance in attention and executive function might be associated with better self-efficacy for pain management. Future longitudinal research is required to investigate the long-term implications of cognitive performance changes on the progress of self-efficacy for pain management in community-dwelling older adults.
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Chronic pain and problematic substance use are prevalent among Veterans with homeless experience (VHE) and may contribute to a challenging primary care experience. ⋯ Chronic pain is associated with unfavorable primary care experiences among VHE, potentially contributing to poor care outcomes. Strategies are needed to enhance patient-provider trust and communication and increase VHE's access to effective pain treatments.