European Journal of Pain最新文献

Background: Low back pain (LBP) is a leading reason for opioid use and a closer examination of opioid use and productivity losses among these patients is needed. We identify opioid use trajectories using a group-based trajectory model (GBTM) and estimate productivity losses across the trajectories.

Methods: Patients diagnosed with LBP in Swedish specialty care between 2011 and 2015, between the ages of 20 and 60, were included. Two GBTMs were estimated on monthly opioid use (converted to oral morphine equivalents) during the two 12-month periods preceding and following diagnosis. Productivity losses were estimated using the human-capital approach.

Results: In total, 147,035 patients were included. The mean age at diagnosis was 43 years of age and 49% of the patients were male. A qualitative assessment of the identified groups in the GBTM models was made based on the patterns of opioid use. We chose three pre-diagnosis groups characterized as 'Pre-low' (N = 109,492), 'Pre-increase' (N = 27,336) and 'Pre-high' (N = 10,207). Similarly, four post-diagnosis groups were chosen and characterized as 'Post-low' (N = 73,287), 'Post-decrease' (N = 39,446), 'Post-moderate' (N = 20,001) and 'Post-high' (N = 13,595). Only 50% of the patients in the 'Pre-high' group were in the 'Post-high' group. The total productivity losses by the pre-diagnosis groups were more than 2.7 billion Euros over the total 6-year study period.

Conclusion: This study highlights how patients with LBP and high use of opioids are highly correlated before and after diagnosis. Patients with high use of opioids also exhibit high work absence and productivity losses.

Significance statement: This was the first study to estimate trajectories of opioids in the two time periods before and after a diagnosis of low back pain. For the first time, productivity losses were also estimated across the identified opioid use trajectories.

Background: Chronic pain (CP) is a public health problem worldwide.

Aim: To update the prevalence of CP and compare the clinical and social characteristics of people with CP with those with non-chronic continuous pain and a group without pain.

Methods: An observational cross-sectional study was carried out in a representative sample of 7058 adults from the Spanish population. Sociodemographic data, the presence of CP and non-chronic continuous pain, characteristics of pain, limitations on activities of daily living (ADL), the presence and level of anxiety and depression (HADS), quality of life (SF-12v2) and social support (DUKE) were collected. Descriptive and bivariate analyses were performed.

Results: The prevalence of CP was 25.9% (95% CI;24.8-26.9) and that of non-chronic continuous pain was 7.7% (95% CI;7.1-8.3). Women presented a higher prevalence of both CP (30.5% vs. 21.3%) and non-chronic continuous pain (8.8% vs. 6.6%). CP was more common in the group between 55 and 75 years old (30.6%, 95% CI = 28.6-32.6%), non-chronic continuous pain affected most the population between 18 and 34 years old (11.2%, 95% CI = 9.6-12.7%). The median duration of CP was 4 years. The lumbar was the most frequent pain site (58.1%), and 27.1% did not know the cause. A greater frequency of limitations on ADL, more anxiety and depression, and worse quality of life were shown among the subjects with CP.

Conclusion: CP affects one in four Spanish people and impairs the mental, physical and social health. Differences exist by sex and age in its frequency. Identifying subjects with non-chronic continuous pain is fundamental to prevent their pain from becoming chronic.

Significance statement: Indicating the main aspects where this work adds significantly to existing knowledge in the field, and if appropriate to clinical practice. Due to its high prevalence and impact on quality of life, chronic pain has become one of the main health problems nowadays. Attention must be paid to it both from a clinical and social perspective, trying to raise awareness among the population of its possible causes and consequences. In routine clinical practice, greater consideration is given to groups of people with a higher prevalence of chronic pain, such as women and people with middle age, and with no chronic pain to prevent the appearance of chronic pain.

Background: Acceptance and Commitment Therapy (ACT) has been found to be beneficial for individuals dealing with chronic pain. The theoretical mechanisms of change proposed by ACT are based on the Hexaflex model. To comprehensively reflect this model, the Multidimensional Psychological Flexibility Inventory (MPFI) and Psy-Flex have been developed. The study aimed to adapt the MPFI-24 and the Psy-Flex for Spanish-speaking populations with chronic pain and to examine their dimensionality, internal consistency, convergent validity and incremental validity.

Methods: This cross-sectional study involved 309 Spanish-speaking adults with chronic pain who completed an online survey. The majority of the participants were women (88.3%). The ages ranged from 18 to 79 years.

Results: Factor analysis showed that the Spanish version of the MPFI-24 has 12 factors, consisting of six flexibility and six inflexibility factors, similar to the original version, but lacking second-order general factors. The Psy-Flex demonstrated a single-factor structure, maintaining the general factor of psychological flexibility seen in the original version. The MPFI-24 showed good internal consistency and adequate convergent validity, with the exception of the Acceptance and Experiential Avoidance subscales. The Psy-Flex showed good internal consistency and convergent validity. Notably, both the MPFI-24 and Psy-Flex scores significantly explained additional variance in psychological distress beyond other ACT-related measures of Hexaflex processes; however, only the Psy-Flex explained pain interference.

Conclusions: The Spanish adaptations of the MPFI-24 and Psy-Flex are valid and reliable instruments for assessing the Hexaflex model processes in Spanish-speaking adults with chronic pain.

Significance statement: Practitioners and researchers in chronic pain will find the Spanish versions of the MPFI-24 and the Psy-Flex here, along with recommendations for their use and scoring based on a robust psychometric rationale. It should be noted that these measures surpass the Chronic Pain Acceptance Questionnaire (CPAQ) and the Psychological Inflexibility in Pain Scale (PIPS), which are considered gold standards in chronic pain assessment.

Background: Adverse childhood experiences (ACEs) are often reported by youths with chronic pain, and both ACEs and chronic pain disrupt how information is processed. However, it is unknown whether changes to shared neural networks underlie the relationship between ACEs and the development of pain symptoms. This study explored the relationships between ACEs, brain efficiency, and pain symptomology in youth.

Methods: A community sample of youths aged 14-18 years underwent MRIs, answered trauma and pain questionnaires, and underwent pain sensory testing, twice, 3 months apart (N_baseline = 44; N_follow-up = 42). Sensory testing determined thresholds for mechanical and thermal stimuli. Global and local network efficiencies were evaluated using graph theory. Generalized estimating equations were applied to examine whether brain efficiency moderated the relationships between ACEs, pain intensity, and pain sensitivity (i.e., mechanical detection, heat pain, and temperature change thresholds).

Results: There was a significant interaction between ACEs and global brain efficiency in association with pain intensity (β = -0.31, p = 0.02) and heat pain (β = -0.29, p = 0.004). Lower global brain efficiency exacerbated the relationship between ACEs and pain intensity (θ_{X → Y|W = -1.16} = 0.37, p = 0.05), and heat pain sensitivity (θ_{X → Y|W = -1.30} = 0.44, p = 0.05). Higher global brain efficiency ameliorated the relationship between ACEs and pain intensity (θ_{X → Y|W = 1.75} = -0.53, p = 0.05).

Conclusions: The relationship between ACEs and pain symptomology was comparable to chronic pain phenotypes (i.e., higher pain intensity and pain thresholds) and may vary as a function of brain efficiency in youth. This stresses the importance of assessing for pain symptoms in trauma-exposed youth, as earlier identification and intervention are critical in preventing the chronification of pain.

Significance: This article explores the relationship between ACEs, pain symptomology, and brain efficiency in youth. ACEs may affect how the brain processes information, including pain. Youths with lower brain efficiencies that were exposed to more ACEs have pain symptomology comparable to youths with chronic pain. Understanding this relationship is important for the earlier identification of pain symptoms, particularly in vulnerable populations such as youths exposed to trauma, and is critical for preventing the chronification of pain.

Background: Methods for identifying high-pain responders undergoing total knee arthroplasty remain important to improve individualized pain management. This study aimed at evaluating pre- and perioperative predictors of pain on Days 2-7 after total knee arthroplasty.

Methods: This is a secondary analysis of data from 227 patients participating in two randomized trials. Pain outcomes were mean pain during walking on Days 2-7 and on Days 2, 4 and 7. Multivariable linear and logistic regressions were carried out in two steps. First, only preoperative available variables including demographics, comorbidities, pain catastrophizing scale and preoperative pain were evaluated while controlling for trial intervention and recruitment site. In the second step, perioperative variables and pain during walking 24 h postoperatively were added.

Results: The model with only preoperative predictors for mean pain Days 2-7 showed preoperative pain (R-squared 0.097) as the only predictor. In the second model, adding postoperative available variables, only pain 24 h postoperatively (R-squared 0.248) was significant, with a significant main effect of recruitment site. Results for the separate day analysis similarly showed preoperative pain and pain during walking 24 h postoperatively as predictors. The overall best sensitivity (60%) and specificity (74%) for predicting a high-subacute postoperative pain response on Days 2-7 was with cut-off values of VAS 45.5 (out of 100) for pain during walking 24 h postoperatively.

Conclusions: Postoperative pain during walking at 24 h is predictive of subacute postoperative pain on Days 2-7 after total knee arthroplasty, while preoperative pain was only a weak predictor.

Significance statement: This study investigated factors associated with pain after total knee arthroplasty beyond the immediate postoperative period. The analysis revealed significant associations between preoperative pain levels and, particularly, pain 24 h postoperatively, with subsequent subacute pain the following week. These findings can assist in identifying patients who would benefit from enhanced, individualized analgesic interventions to facilitate postoperative recovery.