Pain
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Randomized Controlled Trial
Sleep Disruption and Activation of Cellular Inflammation Mediate Heightened Pain Sensitivity: A Randomized Clinical Trial.
Sleep loss heightens pain sensitivity, but the pathways underlying this association are not known. Given that experimental sleep disruption induces increases in cellular inflammation as well as selective loss of slow wave, N3 sleep, this study examined whether these mechanisms contribute to pain sensitivity following sleep loss in healthy adults. This assessor-blinded, cross-over sleep condition, single-site, randomized clinical trial enrolled 95 healthy adults (mean [SD] age, 27.8 [6.4]; female, 44 [53.7%]). ⋯ A comprehensive causal mediation analysis found that FA had an indirect effect on hPTH by decreases in N3 sleep and subsequent increases in inflammation (estimate=-0.15; 95% confidence interval, -0.30 to -0.03; P < 0.05) with the proportion mediated 34.9%. Differential loss of slow wave, N3 sleep, and increases in cellular inflammation are important drivers of pain sensitivity after sleep disruption. Clinical Trials Registration: NCT01794689.
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Dorsal root entry zone (DREZ) lesioning is a classical and effective treatment for brachial plexus avulsion (BPA). However, because of a limited number of cases reported in the literature, the factors affecting surgical outcomes are not known. Furthermore, whether this ablative procedure in the spinal level can change the status of phantom limb pain (PLP) and phantom limb sensation (PLS) is unknown. ⋯ This study revealed factors that predict the pain outcome of DREZ lesioning based on a large series of cases. The diverse postoperative changes in phantom limb indicate that the mechanisms underlying PLS and PLP at the spinal or supraspinal level may vary among patients with BPA. Future studies should investigate the contribution of maladaptive brain plasticity to the outcomes of patients undergoing DREZ lesioning.
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Clinical Trial
Predicting placebo analgesia in patients with chronic pain using natural language processing: a preliminary validation study.
Patients with chronic pain show large placebo effects in clinical trials, and inert pills can lead to clinically meaningful analgesia that can last from days to weeks. Whether the placebo response can be predicted reliably, and how to best predict it, is still unknown. We have shown previously that placebo responders can be identified through the language content of patients because they speak about their life, and their pain, after a placebo treatment. ⋯ Furthermore, the model predicted as placebo responders exhibited an average of 30% pain relief from an inert pill, compared with 3% for those predicted as nonresponders. The model was not able to predict who responded to naproxen nor spontaneous recovery in a no-treatment arm, suggesting specificity of the prediction to placebo. Taken together, our initial findings suggest that placebo response is predictable using ecological and quick measures such as language use.
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Open-label placebos, or placebos without deception, have been found to induce analgesia, a challenging concept that need to be investigated in detail. In particular, what we need to know is the mechanism through which analgesia is induced when no deception is involved. In this study, we show for the first time that open-label placebo analgesia can be reversed by the opioid antagonist naloxone, as already shown for deceptive placebos. ⋯ In these responders, we found that a hidden injection of 10 mg naloxone could reverse placebo analgesia compared with a hidden injection of saline solution. At least 2 control groups showed that naloxone per se was not hyperalgesic, thus ruling out naloxone-induced hyperalgesia as a confounding variable. In light of the need to better understand open-label placebo effects, these findings represent the first experimental evidence that nondeceptive placebo analgesia may be mediated by the same mechanisms as deceptive placebo analgesia, namely the endogenous opioid systems.
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The increasing demand for pain management and limited resources available highlight the need to measure treatment effectiveness. We analysed data collected at 75 specialist persistent pain services located in Australia and New Zealand to calculate the overall treatment outcome for patients receiving care during 2014 to 2020. Sociodemographic and clinical information was provided for 23,915 patients, along with patient-reported measures assessing pain, pain interference, depression, anxiety, stress, pain catastrophizing, and pain self-efficacy. ⋯ Multivariable logistic regression identified those factors associated with the different groups. In particular, factors most predictive of a poor (group 4) vs good outcome (group 1) were unemployment (due to pain or other reasons), requiring an interpreter, widespread pain, pain of longer duration, and attributing the pain to an injury at work. The results may allow identification of those most likely to benefit from the services currently provided and inform development of alternative or enhanced services for those at risk of a poor outcome.