PAIN®Pub Date : 2024-09-18DOI: 10.1097/j.pain.0000000000003398
Nichole Phillips, Benjamin T Brown, Michael P Jones, Natasha Magson, Amber Beynon, Michael S Swain
{"title":"The association between bullying victimization and back pain in young people: a systematic literature review and meta-analysis.","authors":"Nichole Phillips, Benjamin T Brown, Michael P Jones, Natasha Magson, Amber Beynon, Michael S Swain","doi":"10.1097/j.pain.0000000000003398","DOIUrl":"https://doi.org/10.1097/j.pain.0000000000003398","url":null,"abstract":"<p><strong>Abstract: </strong>Back pain is a common and recurrent health complaint in adolescence. Psychosocial factors may be associated with the onset and persistence of back pain symptoms. This systematic review aims to determine the association between bullying victimization and back pain in young people. Observational studies that quantified the association between bullying victimization and back pain in participants were included in this systematic review. Estimates of associations and confidence intervals were extracted. A random effects meta-analysis of estimates of association was performed. The quality of evidence was assessed using the Joanna Briggs Institute critical appraisal checklist for analytical cross-sectional studies. Database searches yielded 18,311 citations. Nineteen studies (n = 212,058, 51.4% female) were included in our review. Meta-analysis showed a positive association between bullying victimization and back pain (odds ratio 1.93, confidence interval 1.75-2.13). Subgroup analysis showed no statistically significant effect of sex, age, bullying type, pain type, recall periods, bullying frequency, back pain frequency, risk estimate adjustment, and study critical appraisal rating. All studies were rated at moderate-high risk of bias. Our synthesis of evidence found a weak-moderate association between bullying victimization and back pain in young people. Methodological shortcomings and heterogeneity in the field limit causal inference. Future longitudinal studies are required.</p>","PeriodicalId":19921,"journal":{"name":"PAIN®","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142293021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PAIN®Pub Date : 2024-09-18DOI: 10.1097/j.pain.0000000000003405
Nicholas Papadomanolakis-Pakis, Simon Haroutounian, Johan Kløvgaard Sørensen, Charlotte Runge, Lone Dragnes Brix, Christian Fynbo Christiansen, Lone Nikolajsen
{"title":"Development and internal validation of a clinical risk tool to predict chronic postsurgical pain in adults: a prospective multicentre cohort study.","authors":"Nicholas Papadomanolakis-Pakis, Simon Haroutounian, Johan Kløvgaard Sørensen, Charlotte Runge, Lone Dragnes Brix, Christian Fynbo Christiansen, Lone Nikolajsen","doi":"10.1097/j.pain.0000000000003405","DOIUrl":"https://doi.org/10.1097/j.pain.0000000000003405","url":null,"abstract":"<p><strong>Abstract: </strong>Chronic postsurgical pain (CPSP) is a highly prevalent condition. To improve CPSP management, we aimed to develop and internally validate generalizable point-of-care risk tools for preoperative and postoperative prediction of CPSP 3 months after surgery. A multicentre, prospective, cohort study in adult patients undergoing elective surgery was conducted between May 2021 and May 2023. Prediction models were developed for the primary outcome according to the International Association for the Study of Pain criteria and a secondary threshold-based CPSP outcome. Models were developed with multivariable logistic regression and backward stepwise selection. Internal validation was conducted using bootstrap resampling, and optimism was corrected by shrinkage of predictor weights. Model performance was assessed by discrimination and calibration. Clinical utility was assessed by decision curve analysis. The final cohort included 960 patients, 16.3% experienced CPSP according to the primary outcome and 33.6% according to the secondary outcome. The primary CPSP model included age and presence of other preoperative pain. Predictors in the threshold-based models associated with an increased risk of CPSP included younger age, female sex, preoperative pain in the surgical area, other preoperative pain, orthopedic surgery, minimally invasive surgery, expected surgery duration, and acute postsurgical pain intensity. Optimism-corrected area-under-the-receiver-operating curves for preoperative and postoperative threshold-based models were 0.748 and 0.747, respectively. These models demonstrated good calibration and clinical utility. The primary CPSP model demonstrated fair predictive performance including 2 significant predictors. Derivation of a generalizable risk tool with point-of-care predictors was possible for the threshold-based CPSP models but requires independent validation.</p>","PeriodicalId":19921,"journal":{"name":"PAIN®","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142293016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PAIN®Pub Date : 2024-09-18DOI: 10.1097/j.pain.0000000000003410
Rocco Giordano, Lars Arendt-Nielsen, Maria Carla Gerra, Andreas Kappel, Svend Erik Østergaard, Camila Capriotti, Cristina Dallabona, Kristian Kjær-Staal Petersen
{"title":"Pain mechanistic networks: the development using supervised multivariate data analysis and implications for chronic pain.","authors":"Rocco Giordano, Lars Arendt-Nielsen, Maria Carla Gerra, Andreas Kappel, Svend Erik Østergaard, Camila Capriotti, Cristina Dallabona, Kristian Kjær-Staal Petersen","doi":"10.1097/j.pain.0000000000003410","DOIUrl":"https://doi.org/10.1097/j.pain.0000000000003410","url":null,"abstract":"<p><strong>Abstract: </strong>Chronic postoperative pain is present in approximately 20% of patients undergoing total knee arthroplasty. Studies indicate that pain mechanisms are associated with development and maintenance of chronic postoperative pain. The current study assessed pain sensitivity, inflammation, microRNAs, and psychological factors and combined these in a network to describe chronic postoperative pain. This study involved 75 patients with and without chronic postoperative pain after total knee arthroplasty. Clinical pain intensity, Oxford Knee Score, and pain catastrophizing were assessed as clinical parameters. Quantitative sensory testing was assessed to evaluate pain sensitivity and microRNAs, and inflammatory markers were likewise analyzed. Supervised multivariate data analysis with \"Data Integration Analysis for Biomarker Discovery\" using Latent cOmponents (DIABLO) was used to describe the chronic postoperative pain intensity. Two DIABLO models were constructed by dividing the patients into 3 groups or 2 defined by clinical pain intensities. Data Integration Analysis for Biomarker discovery using Latent cOmponents model explained chronic postoperative pain and identified factors involved in pain mechanistic networks among assessments included in the analysis. Developing models of 3 or 2 patient groups using the assessments and the networks could explain 81% and 69% of the variability in clinical postoperative pain intensity. The reduction of the number of parameters stabilized the models and reduced the explanatory value to 69% and 51%. This is the first study to use the DIABLO model for chronic postoperative pain and to demonstrate how different pain mechanisms form a pain mechanistic network. The complex model explained 81% of the variability of clinical pain intensity, whereas the less complex model explained 51% of the variability of clinical pain intensity.</p>","PeriodicalId":19921,"journal":{"name":"PAIN®","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142293017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PAIN®Pub Date : 2024-09-18DOI: 10.1097/j.pain.0000000000003375
Mariela Rosa-Casillas, Allan I Basbaum
{"title":"Rostral ventral medulla circuits regulate both the sensory and affective dimensions of neuropathic pain: a commentary on Dogrul et al.","authors":"Mariela Rosa-Casillas, Allan I Basbaum","doi":"10.1097/j.pain.0000000000003375","DOIUrl":"10.1097/j.pain.0000000000003375","url":null,"abstract":"","PeriodicalId":19921,"journal":{"name":"PAIN®","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142361898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PAIN®Pub Date : 2024-09-13DOI: 10.1097/j.pain.0000000000003408
Esther Son,Rachel Gaither,Jarred Lobo,Ying Zhao,Lauren A McKibben,Rhea Arora,Liz Albertorio-Sáez,Jacqueline Mickelson,Britannia J Wanstrath,Simran Bhatia,Jennifer S Stevens,Tanja Jovanovic,Karestan Koenen,Ronald Kessler,Kerry Ressler,Francesca L Beaudoin,Samuel A McLean,Sarah D Linnstaedt
{"title":"Further evidence that peritraumatic 17β-estradiol levels influence chronic posttraumatic pain outcomes in women, data from both humans and animals.","authors":"Esther Son,Rachel Gaither,Jarred Lobo,Ying Zhao,Lauren A McKibben,Rhea Arora,Liz Albertorio-Sáez,Jacqueline Mickelson,Britannia J Wanstrath,Simran Bhatia,Jennifer S Stevens,Tanja Jovanovic,Karestan Koenen,Ronald Kessler,Kerry Ressler,Francesca L Beaudoin,Samuel A McLean,Sarah D Linnstaedt","doi":"10.1097/j.pain.0000000000003408","DOIUrl":"https://doi.org/10.1097/j.pain.0000000000003408","url":null,"abstract":"Chronic posttraumatic pain (CPTP) is common after traumatic stress exposure (TSE) and disproportionately burdens women. We previously showed across 3 independent longitudinal cohort studies that, in women, increased peritraumatic 17β-estradiol (E2) levels were associated with substantially lower CPTP over 1 year. Here, we assessed this relationship in a fourth longitudinal cohort and also assessed the relationship between E2 and CPTP at additional time points post-TSE. Furthermore, we used a well-validated animal model of TSE to determine whether exogenous E2 administration protects against mechanical hypersensitivity. Using nested samples and data from the Advancing Understanding of RecOvery afteR traumA study (n = 543 samples, 389 participants), an emergency department-based prospective study of TSE survivors, we assessed the relationship between circulating E2 levels and CPTP in women and men using multivariate repeated-measures mixed modeling. Male and ovariectomized female Sprague Dawley rats were exposed to TSE and administered E2 either immediately after or 3 days post-TSE. Consistent with previous results, we observed an inverse relationship between peritraumatic E2 and longitudinal CPTP in women only (β = -0.137, P = 0.033). In animals, E2 protected against mechanical hypersensitivity in female ovariectomized rats only if administered immediately post-TSE. In conclusion, peritraumatic E2 levels, but not those at post-TSE time points, predict CPTP in women TSE survivors. Administration of E2 immediately post TSE protects against mechanical hypersensitivity in female rats. Together with previous findings, these data indicate that increased peritraumatic E2 levels in women have protective effects against CPTP development and suggest that immediate post-TSE E2 administration in women could be a promising therapeutic strategy for reducing risk of CPTP.","PeriodicalId":19921,"journal":{"name":"PAIN®","volume":null,"pages":null},"PeriodicalIF":7.4,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142245236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PAIN®Pub Date : 2024-09-12DOI: 10.1097/j.pain.0000000000003379
Xiao-Yang Hu,Ben Young,Miriam Santer,Hazel Everitt,Jen Pearson,Hannah Bowers,Michael Moore,Paul Little,Tamar Pincus,Cathy Price,Tom Robson,Clara de Barros,Jane Loewy,Jenny Magee,Adam W A Geraghty
{"title":"Self-management interventions for chronic widespread pain including fibromyalgia: a systematic review and qualitative evidence synthesis.","authors":"Xiao-Yang Hu,Ben Young,Miriam Santer,Hazel Everitt,Jen Pearson,Hannah Bowers,Michael Moore,Paul Little,Tamar Pincus,Cathy Price,Tom Robson,Clara de Barros,Jane Loewy,Jenny Magee,Adam W A Geraghty","doi":"10.1097/j.pain.0000000000003379","DOIUrl":"https://doi.org/10.1097/j.pain.0000000000003379","url":null,"abstract":"Supporting behavioural self-management is increasingly important in the care for chronic widespread pain (CWP), including fibromyalgia. Understanding peoples' experiences of these interventions may elucidate processes and mechanisms that lead to or hinder their intended impact. We conducted a systematic review and thematic synthesis of qualitative studies exploring peoples' experiences of self-management interventions for CWP, including fibromyalgia. MEDLINE, Embase, PsycINFO, CINAHL, and Web of Science were searched. Primary qualitative or mixed-methods studies were included if they explored people's self-management intervention experiences for their CWP, including fibromyalgia. Screening, data extraction, and critical appraisal were conducted by 2 reviewers. Data analysis was conducted through thematic synthesis. Twenty-three studies were included, mostly were rated as high or moderate quality. We developed 4 analytic themes: A multifaceted experience of the intervention, potential for transformative experience of group cohesion, a new outlook, and striving for change after the loss of support. Broadly, personalisation was perceived as beneficial and people experienced a range of emotional experiences. These appeared to support positive behavioural and cognitive changes. For most, group activities promoted acceptance and support, fostering new perspectives and improved self-management, although some found aspects of group contexts challenging. Lack of on-going support after interventions led to challenges in applying behavioural strategies, and some struggled without social support from the group. The experiences of self-management interventions for CWP reflect a complex, multifaceted process. Although many reported positive experiences, addressing issues with integration of physical activity, group dynamics and postintervention support may improve effectiveness for a broader range of people.","PeriodicalId":19921,"journal":{"name":"PAIN®","volume":null,"pages":null},"PeriodicalIF":7.4,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142245235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PAIN®Pub Date : 2024-09-10DOI: 10.1097/j.pain.0000000000003376
McKenna L Pratt,Ashley N Plumb,Aditi Manjrekar,Lucia M Cardona,Cheri K Chan,Juanna M John,Katelyn E Sadler
{"title":"Microbiome contributions to pain: a review of the preclinical literature.","authors":"McKenna L Pratt,Ashley N Plumb,Aditi Manjrekar,Lucia M Cardona,Cheri K Chan,Juanna M John,Katelyn E Sadler","doi":"10.1097/j.pain.0000000000003376","DOIUrl":"https://doi.org/10.1097/j.pain.0000000000003376","url":null,"abstract":"Over the past 2 decades, the microbiome has received increasing attention for the role that it plays in health and disease. Historically, the gut microbiome was of particular interest to pain scientists studying nociplastic visceral pain conditions given the anatomical juxtaposition of these microorganisms and the neuroimmune networks that drive pain in such diseases. More recently, microbiomes both inside and across the surface of the body have been recognized for driving sensory symptoms in a broader set of diseases. Microbiomes have never been a more popular topic in pain research, but to date, there has not been a systematic review of the preclinical microbiome pain literature. In this article, we identified all animal studies in which both the microbiome was manipulated and pain behaviors were measured. Our analysis included 303 unique experiments across 97 articles. Microbiome manipulation methods and behavioral outcomes were recorded for each experiment so that field-wide trends could be quantified and reported. This review specifically details the animal species, injury models, behavior measures, and microbiome manipulations used in preclinical pain research. From this analysis, we were also able to conclude how manipulations of the microbiome alter pain thresholds in naïve animals and persistent pain intensity and duration in cutaneous and visceral pain models. This review summarizes by identifying existing gaps in the literature and providing recommendations for how to best plan, implement, and interpret data collected in preclinical microbiome pain experiments.","PeriodicalId":19921,"journal":{"name":"PAIN®","volume":null,"pages":null},"PeriodicalIF":7.4,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PAIN®Pub Date : 2024-09-06DOI: 10.1097/j.pain.0000000000003388
Cameron C Young, Elizabeth Enichen, Arya Rao, Marc D Succi
{"title":"Racial, ethnic, and sex bias in large language model opioid recommendations for pain management.","authors":"Cameron C Young, Elizabeth Enichen, Arya Rao, Marc D Succi","doi":"10.1097/j.pain.0000000000003388","DOIUrl":"https://doi.org/10.1097/j.pain.0000000000003388","url":null,"abstract":"<p><strong>Abstract: </strong>Understanding how large language model (LLM) recommendations vary with patient race/ethnicity provides insight into how LLMs may counter or compound bias in opioid prescription. Forty real-world patient cases were sourced from the MIMIC-IV Note dataset with chief complaints of abdominal pain, back pain, headache, or musculoskeletal pain and amended to include all combinations of race/ethnicity and sex. Large language models were instructed to provide a subjective pain rating and comprehensive pain management recommendation. Univariate analyses were performed to evaluate the association between racial/ethnic group or sex and the specified outcome measures-subjective pain rating, opioid name, order, and dosage recommendations-suggested by 2 LLMs (GPT-4 and Gemini). Four hundred eighty real-world patient cases were provided to each LLM, and responses included pharmacologic and nonpharmacologic interventions. Tramadol was the most recommended weak opioid in 55.4% of cases, while oxycodone was the most frequently recommended strong opioid in 33.2% of cases. Relative to GPT-4, Gemini was more likely to rate a patient's pain as \"severe\" (OR: 0.57 95% CI: [0.54, 0.60]; P < 0.001), recommend strong opioids (OR: 2.05 95% CI: [1.59, 2.66]; P < 0.001), and recommend opioids later (OR: 1.41 95% CI: [1.22, 1.62]; P < 0.001). Race/ethnicity and sex did not influence LLM recommendations. This study suggests that LLMs do not preferentially recommend opioid treatment for one group over another. Given that prior research shows race-based disparities in pain perception and treatment by healthcare providers, LLMs may offer physicians a helpful tool to guide their pain management and ensure equitable treatment across patient groups.</p>","PeriodicalId":19921,"journal":{"name":"PAIN®","volume":null,"pages":null},"PeriodicalIF":5.9,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142293019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"11th revision of the International Classification of Diseases chronic primary pain diagnoses in children and adolescents: representation of pediatric patients in the new classification system.","authors":"Lisa-Marie Rau,Beatrice Korwisi,Antonia Barke,Michael Frosch,Boris Zernikow,Julia Wager","doi":"10.1097/j.pain.0000000000003386","DOIUrl":"https://doi.org/10.1097/j.pain.0000000000003386","url":null,"abstract":"Chronic pain is common among children and adolescents; however, the diagnoses in the newly developed 11th revision of the International Classification of Diseases (ICD-11) chronic pain chapter are based on adult criteria, overlooking pediatric neurodevelopmental differences. The chronic pain diagnoses have demonstrated good clinical applicability in adults, but to date, no field study has examined these diagnoses to the most specific diagnostic level in a pediatric sample. The current study aimed to explore pediatric representation within the ICD-11, with focus on chronic primary pain. Healthcare professionals (HCPs) at a specialized pediatric pain center documented the symptoms of and assigned both ICD-10 and ICD-11 diagnoses to N = 402 patients. Using criteria-based computer algorithms, specific ICD-11 pain diagnoses were allocated for each documented pain location, with residual diagnoses (ie, \"unspecified\") assigned if criteria were not (fully) met. Within the ICD-11, the algorithms assigned specific pain diagnoses to most patients (73.6%). In ICD-10, HCPs could not specify a diagnosis for 5.2% of patients; the ICD-11 algorithm allocated a residual chronic primary pain diagnosis in 51.2%. Residual categories were especially prevalent among younger children, boys, patients with headaches, and those with lower pain severity. Overall, clinical utility of the ICD-11 was high, although less effective for chronic back pain and headache diagnoses. The latter also exhibited the lowest agreement between HCPs and algorithm. The current study underscores the need for evidence-based improvements to the ICD-11 diagnostic criteria in pediatrics. Developing pediatric coding notes could improve the visibility of patients internationally and improve the likelihood of receiving reimbursement for necessary treatments through accurate coding.","PeriodicalId":19921,"journal":{"name":"PAIN®","volume":null,"pages":null},"PeriodicalIF":7.4,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}