Articles: pain-clinics.
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Pain profiles (e.g. pro- and anti-nociceptive) can be developed using quantitative sensory testing (QST) but substantial variability exists. This study describes the variability in temporal summation of pain (TSP) and conditioned pain modulation (CPM) in chronic musculoskeletal pain patients, proposes cut-off values, and explores the association with clinical pain intensity. ⋯ This analysis shows that there is variability when assessing TSP and CPM in both pain-free subjects and patients with chronic pain. A cut-off for determining when a person is pain-sensitive is proposed, and data based on this cut-off approach suggest that significantly more patients with osteoarthritis and fibromyalgia are pain-sensitive (i.e. higher TSP and lower CPM) compared to pain-free subjects. This analysis does not find an association between pain sensitivity and clinical pain.
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While the development of artificial intelligence (AI) technologies in medicine has been significant, their application to acute and chronic pain management has not been well characterized. This systematic review aims to provide an overview of the current state of AI in acute and chronic pain management. ⋯ This review characterizes current applications of AI for pain management and discusses barriers to their clinical integration. Our findings support continuing efforts directed towards establishing comprehensive systems that integrate AI throughout the patient care continuum.
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Randomized Controlled Trial
A randomized clinical trial of emotional freedom techniques for chronic pain: Live versus self-paced delivery with 6-month follow-up.
Chronic pain represents a major global healthcare crisis, and current treatments are limited in effectiveness and safety. Emotional freedom techniques (EFTs) show promise as a potential psychological treatment. ⋯ An emerging body-based intervention for chronic pain may be a possible solution for remote clients who cannot attend in-person sessions. In this clinical trial Emotional Freedom Techniques (EFT) significantly reduced chronic pain severity and interference, and there were no differences between and online self-paced program toan online in-person EFT intervention. Both were equally effective, also enhancing quality of life without compromising outcomes. The results were significant at 6-month follow-up/. These findings highlight a body-based approach as a promising, accessible pain management strategy, and highlights that online programs may be part of the solution for chronic pain patients.
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Multicenter Study
Development and internal validation of a clinical risk tool to predict chronic postsurgical pain in adults: a prospective multicentre cohort study.
Chronic postsurgical pain (CPSP) is a highly prevalent condition. To improve CPSP management, we aimed to develop and internally validate generalizable point-of-care risk tools for preoperative and postoperative prediction of CPSP 3 months after surgery. A multicentre, prospective, cohort study in adult patients undergoing elective surgery was conducted between May 2021 and May 2023. ⋯ These models demonstrated good calibration and clinical utility. The primary CPSP model demonstrated fair predictive performance including 2 significant predictors. Derivation of a generalizable risk tool with point-of-care predictors was possible for the threshold-based CPSP models but requires independent validation.
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The management of chronic non-cancer pain (CNCP) is complex. Concerns about adverse effects associated with opioid pain medications and a lack of funding for holistic programs present challenges for decision-making among clinicians and patients. Discrete choice experiments (DCE) are one way of assessing and valuing patient treatment preferences. ⋯ A discrete choice experiment identified two groups: younger, with more private insurance, and older, with less private health insurance, each with unique pain management preferences. Clinicians should be aware that age and private health insurance may have an impact on a patient's preferences for CNCP management.