Articles: chronic.
-
Although proper pain evaluation is mandatory for establishing the appropriate therapy, self-reported pain level assessment has several limitations. Data-driven artificial intelligence (AI) methods can be employed for research on automatic pain assessment (APA). The goal is the development of objective, standardized, and generalizable instruments useful for pain assessment in different clinical contexts. ⋯ More recently, artificial neural networks such as convolutional and recurrent neural network algorithms are implemented, even in combination. Collaboration programs involving clinicians and computer scientists must be aimed at structuring and processing robust datasets that can be used in various settings, from acute to different chronic pain conditions. Finally, it is crucial to apply the concepts of explainability and ethics when examining AI applications for pain research and management.
-
Pain management is a major medical issue. However, current medical education in Japan is inadequate with regard to training students to properly assess patients with acute and chronic pain and plan their treatment. Therefore, starting in 2019, Hyogo Medical University established a multidisciplinary educational system to better train medical students to provide pain care. ⋯ The test results were compared in terms of the percentage of correct answers and the total score for each question using McNemar's chi-square test and paired t-tests, respectively. The results showed a significant improvement in the mean of the total score, confirming the improvement in medical students' knowledge (6.43 vs. 7.35 points; p < 0.001). Based on the results, overall, pain education at the university has had positive outcomes and will therefore be continued in the future.
-
Patients with chronic musculoskeletal pain experience not only pain but also abnormal body perception. Such abnormal body perception has been reported to be caused by incongruence between motor intentions and sensory feedback (i.e., sensorimotor incongruence). However, the influence of abnormal body perception with sensorimotor incongruence on pain prognosis in musculoskeletal pain patients has not been investigated. ⋯ Heaviness caused by sensorimotor incongruence may predict pain prognosis in patients with musculoskeletal pain after one month.
-
The purpose of this systematic review and meta-analysis was to assess the short-, mid-, and long-term effectiveness of dry needling in improving pain and functional capacity of patients with chronic neck pain. Search strategy was performed on PubMed, Web of Science, Scopus, PEDro, and Cochrane Library Plus biomedical databases. The risk of bias was assessed using the RoB2 tool. ⋯ Dry needling showed to be more effective when compared with other therapies in both women and men, without differences by sex. When the analysis was carried out by age, patients over 40 years old benefitted more than those below 40 years old. Our meta-analysis supports the use of dry needling to improve pain and functional capacity in patients with chronic neck pain at short- and mid-term intervals.
-
Randomized Controlled Trial Multicenter Study
Ultrasound-Guided Percutaneous Cryoneurolysis to Treat Chronic Post-Amputation Phantom Limb Pain: A Multicenter, Randomized, Controlled Trial.
Postamputation phantom pain is notoriously persistent with few validated treatments. Cryoneurolysis involves the application of low temperatures to reversibly ablate peripheral nerves. The authors tested the hypothesis that a single cryoneurolysis treatment would decrease phantom pain 4 months later. ⋯ Percutaneous cryoneurolysis did not decrease chronic lower extremity phantom limb pain 4 months after treatment. However, these results were based upon the authors' specific study protocol, and since the optimal cryoneurolysis treatment parameters such as freeze duration and anatomic treatment location remain unknown, further research is warranted.