Pain
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Early detection of patients with chronic diseases at risk of developing persistent pain is clinically desirable for timely initiation of multimodal therapies. Quality follow-up registries may provide the necessary clinical data; however, their design is not focused on a specific research aim, which poses challenges on the data analysis strategy. Here, machine-learning was used to identify early parameters that provide information about a future development of persistent pain in rheumatoid arthritis (RA). ⋯ When restricting the predictors to objective clinical parameters of disease severity, swollen joint count and tender joint count acquired at 3 months provided a balanced accuracy of RA of 59%. Results indicate that machine-learning is suited to extract knowledge from data queried from pain- and disease-related registries. Early functional parameters of RA are informative for the development and degree of persistent pain.
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The bladder is innervated by primary afferent nerve fibres that detect bladder distension and, through projections into the spinal cord, provide sensory input to the central nervous system circuits regulating bladder sensation and function. Uropathogenic E. coli (UPEC) bacteria are the primary cause of urinary tract infection (UTI) in adults, inducing clinical symptoms characterised by exaggerated bladder sensation, including urgency, frequency, and pelvic pain. However, the mechanisms underlying UTI-induced modulation of bladder afferent function are yet to be explored. ⋯ Further evaluation revealed that UPEC supernatants exclusively sensitised high-threshold bladder mechanoreceptors to graded bladder distension and also recruited a population of "silent nociceptors" to become mechanosensitive, thereby amplifying bladder afferent responses to physiological stimuli. UPEC supernatants contained significantly elevated concentrations of a range of cytokines released from innate immune cells, including but not limited to TNF-α, IL-1β, IL-6, IL-17, IFN-gamma, and MCP-1. These data provide novel mechanistic insight into how UPEC-mediated UTI induces bladder hypersensitivity and the symptoms of frequency, urgency, and pelvic pain.
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The aims of this review were to systematically identify the current evidence base of placebo (or "sham") randomised controlled trials (RCTs) of spinal cord stimulation (SCS) for neuropathic pain and to undertake a meta-analysis to investigate the effectiveness of SCS when compared with a placebo comparator arm. Electronic databases were searched from inception until January 2019 for RCTs of SCS using a placebo/sham control. Searches identified 8 eligible placebo-controlled randomised trials of SCS for neuropathic pain. ⋯ Our analyses suggest that the magnitude of treatment effect varies across trials and, in part, depends on the quality of patient blinding and minimisation of carryover effects. Improved reporting and further methodological research is needed into placebo and blinding approaches in SCS trials. Furthermore, we introduce a differentiation between placebo and sham concepts that may be generalisable to trials evaluating surgical or medical procedures.
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Relief of cancer-related pain remains challenging despite the availability of a range of opioid and nonopioid medications. Animal models demonstrate that T lymphocytes may mediate analgesia by producing endogenous opioids, but definitive clinical data are limited. Transfer of ex vivo adoptive cellular therapy (ACT) is being tested as an anticancer therapy. ⋯ Moreover, higher frequencies of expanded CD3, CD3/CD4, and CD3/CD8 T cells within the ACT product were associated with favorable analgesic effects. Transient elevations in CD3 and CD3/CD8T-cell subpopulations and decreases in CD4CD25 Treg were observed in patients' blood after the ACT. In conclusion, ACT was capable of reducing cancer pain severity and opioid consumption and favorably modulating peripheral blood T-cell populations.