The journal of pain : official journal of the American Pain Society
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The pain experience may vary greatly among individuals reporting equally high levels of pain. We sought to examine the demographic and clinical characteristics associated with pain interference in patients with high pain intensity. Among patients with chronic musculoskeletal pain who were prescribed long-term opioid therapy and who were recruited from 2 health care systems, we identified a subset who reported high pain intensity (n = 189). ⋯ In bivariate analyses, patients with lower pain interference had fewer symptoms of depression and anxiety, less pain catastrophizing, a better quality of life, and greater self-efficacy for managing pain. In multivariate analyses, variables most strongly associated with low pain interference, relative to high interference, were depression severity (odds ratio 0.90; 95% confidence interval 0.82-0.99) and pain self-efficacy (odds ratio 1.07; 95% confidence interval 1.02-1.12). Study results suggest that chronic pain treatments that address symptoms of depression and enhance pain self-efficacy may be prioritized, particularly among patients who are prescribed long-term opioid therapy.
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The fear avoidance model of chronic musculoskeletal pain highlights the importance of pain-related fear in chronification of pain. Although several interventions have been developed on the basis of this model, the following issues remain unresolved: first, whether movement conditioned to pain can evoke fear responses particularly sympathetic activation, and second, whether verbal instructions can attenuate conditioned fear of movement-related pain as with direct experience. ⋯ The instructed extinction group was then told that the movement was no longer followed by painful stimulus at the beginning of the extinction phase, and only this group showed significant decreases on both indices of fear. This finding indicates that verbal instruction can attenuate conditioned fear of movement-related pain, supporting the clinical importance of providing information regarding the relationship between movement and pain.
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Pain catastrophizing (ie, the tendency to focus on and magnify pain sensations and feel helpless in the face of pain) is one of the most important and consistent psychological predictors of the pain experience. The present study examined, in 60 patients with osteoarthritis pain who were married or partnered: 1) the degree to which ambivalence over emotional expression and negative network orientation were associated with pain catastrophizing, and 2) whether self-efficacy for pain communication moderated these relations. Hierarchical multiple linear regression analyses revealed a significant main effect for the association between ambivalence over emotional expression and pain catastrophizing; as ambivalence over emotional expression increased, the degree of pain catastrophizing increased. ⋯ Negative network orientation was not significantly associated with pain catastrophizing. Findings suggest that higher levels of self-efficacy for pain communication may help weaken the effects of ambivalence over emotional expression on pain catastrophizing. In light of these results, patients may benefit from interventions that target pain communication processes and emotion regulation.
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Review Meta Analysis Comparative Study
A Comparison of the Assay Sensitivity of Average and Worst Pain Intensity in Pharmacologic Trials: An ACTTION Systematic Review and Meta-Analysis.
Identifying methods to improve assay sensitivity in randomized clinical trials (RCTs) may facilitate the discovery of efficacious pain treatments. RCTs evaluating pain treatments typically use average pain intensity (API) or worst pain intensity (WPI) as the primary efficacy outcome. However, little evidence is available comparing the assay sensitivity of these 2 measures. ⋯ Twenty-seven active versus placebo comparisons were identified in 23 eligible articles. Using a random-effects meta-analysis, API SES and WPI SES did not differ significantly (difference = -.021, 95% confidence interval = -.047 to .004, P = .12). The findings indicate that, depending on the objectives of the study, either API or WPI could be used as a primary outcome measure in clinical trials for the chronic pain conditions included in this analysis.
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Human pain neuroimaging has exploded in the past 2 decades. During this time, the broader neuroimaging community has continued to investigate and refine methods. Another key to progress is exchange with clinicians and pain scientists working with other model systems and approaches. ⋯ Likewise, new trainees must design rigorous and reliable pain imaging experiments. In this article we provide a guideline for designing, reading, evaluating, analyzing, and reporting results of a pain neuroimaging experiment, with a focus on functional and structural magnetic resonance imaging. We focus in particular on considerations that are unique to neuroimaging studies of pain in humans, including study design and analysis, inferences that can be drawn from these studies, and the strengths and limitations of the approach.