Articles: chronic-pain.
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The transition from acute to chronic low back pain (LBP) in community settings is not well understood. The purpose of this study was to assess the feasibility of recruitment and estimate the transition and continuation of chronic LBP. We also explored characteristics associated with this transition to chronic LBP. ⋯ Acute LBP is a common condition in the community and frequently transitions to chronic LBP, suggesting the potential for substantial burden in the community. PERSPECTIVE: This article presents the feasibility of conducting a community-based study to describe the transition, continuation, and psychosocial predictors of acute to chronic low back pain. These findings could help identify community participants at high risk of incident and continued chronic low back pain.
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Lower socioeconomic position (SEP) is associated with increased risk of developing chronic pain, experiencing more severe pain, and suffering greater pain-related disability. However, SEP is a multidimensional construct; there is a dearth of research on which SEP features are most strongly associated with high-impact chronic pain, the relative importance of SEP predictive features compared to established chronic pain correlates, and whether the relative importance of SEP predictive features differs by race and sex. This study used 3 machine learning algorithms to address these questions among adults in the 2019 National Health Interview Survey. ⋯ Whereas the relative importance of body mass index and owning/renting a residence was higher for non-Hispanic Black adults, the relative importance of working adults in the family and housing stability was higher for non-Hispanic White adults. Anxiety symptom severity, body mass index, and cigarette smoking had higher relevance for women, while housing stability and frequency of anxiety and depression had higher relevance for men. Results highlight the potential for machine learning algorithms to advance health equity research.
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A variety of factors are associated with the development and maintenance of chronic pain in children. Identifying modifiable factors associated with pediatric chronic pain is important to use them as target outcomes in the development and evaluation of interventions for the prevention and management of chronic pain. This study aimed to reach expert consensus on factors associated with pediatric chronic pain and their modifiability and population-level effect. ⋯ Expert consensus was established about modifiable and population-level factors associated with pediatric chronic pain through this web-based modified Delphi study, guiding target outcomes for its prevention and management. PERSPECTIVE: This article presents the results of a modified Delphi study with pediatric pain experts to gain consensus on factors associated with pediatric chronic pain. Relationship strength, modifiability, and population-level effect of associated factors were rated to identify areas of research priority and interventions aiming to reduce the development and maintenance of chronic pain in children.
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Clinical interest in and utilization of peripheral nerve stimulation (PNS) for treating chronic pain has significantly increased in recent years owing to its potential for providing analgesia and improved function and quality of life in comparison with pharmacologic treatments. However, the relative infancy of PNS-specific systems and limited clinical practice guidance likely contribute to significant variation in PNS utilization patterns. ⋯ There is significant practice variation regarding the utilization of PNS across numerous key clinical considerations. Future research that explores the reasons driving these differences might help optimize patient selection, target selection, periprocedural management, and ultimately outcomes.
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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.