Pain Trajectories Research Articles

Postoperative acute pain trajectories in gynecologic cancer patients undergoing hysterectomy

Postoperative acute pain trajectories in gynecologic cancer patients undergoing hysterectomy

Association between acute pain trajectory and patient-reported outcomes at 6-months following lumbar surgery for patients with lumbar degenerative disease.

To investigate the association between acute pain trajectory over one week and patient-reported outcomes (PRO) at 6-months following lumbar surgery in patients with lumbar degenerative disease (LDD). Two hundred and fifty-five subjects with LDD who received surgical treatment at our hospital between April 2019 and March 2022. Acute pain trajectory was measured using a pain trajectory calculator to determine an approximate line using the linear least squares method based on pain intensity on postoperative days 1, 3, 5, and 7. The pain trajectory-slope, which represents the change in postoperative pain intensity of the calculated approximation line, was evaluated as the main exposure for the present study. The PRO was assessed using the Oswestry Disability Index (ODI) measured at 6 ± 1 months postoperatively. Poor PRO scores in this study were defined using a threshold of an ODI of 22% or greater, which represents the patient acceptable symptomatic state after lumbar spine surgery. Multivariable logistic regression analysis including covariates was performed to investigate the association between pain trajectory-slope and PRO at 6-months following lumbar surgery. In this study, 101 (39.6%) had poor PRO scores. Multivariable logistic regression analysis adjusted for covariates showed that pain trajectory-slope was associated with the poor PRO scores (odd ratios; 1.203, 95% confidence intervals; 1.130-1.288). The results of this study show that acute pain trajectory is significantly associated with poor PRO scores 6-months after lumbar surgery. Patients with slower pain relief or worsening pain were associated with poor PRO scores.

Enhanced Recovery After Surgery Protocols in One- or Two-Level Posterior Lumbar Fusion: Improving Postoperative Outcomes.

Background/Objectives: Enhanced recovery after surgery (ERAS) protocols optimize perioperative care and improve recovery. This study evaluated the effectiveness of ERAS in one- or two-level posterior lumbar fusion surgeries, focusing on perioperative medication use, pain management, and functional outcomes. Methods: Eighty-eight patients undergoing lumbar fusion surgery between March 2021 and February 2022 were allocated into pre-ERAS (n = 41) and post-ERAS (n = 47) groups. Outcomes included opioid and antiemetic consumption, pain scores (numerical rating scale (NRS)), functional recovery (Oswestry Disability Index (ODI) and EuroQol 5 Dimension (EQ-5D)), and complication rates. Pain was assessed daily for the first four postoperative days and at 6 months. Linear Mixed Effects Model analysis evaluated pain trajectories. Results: The post-ERAS group showed significantly lower opioid (p = 0.005) and antiemetic (p < 0.001) use. No significant differences were observed in NRS pain scores in the first 4 postoperative days. At 6 months, the post-ERAS group reported significantly lower leg pain (p = 0.002). The time:group interaction was not significant for back (p = 0.848) or leg (p = 0.503) pain. Functional outcomes at 6 months, particularly ODI and EQ-5D scores, showed significant improvement in the post-ERAS group. Complication rates were lower in the post-ERAS group (4.3% vs. 19.5%, p = 0.024), while hospital stay and fusion rates remained similar. Conclusions: The ERAS protocol significantly reduced opioid and antiemetic use, improved long-term pain management and functional recovery, and lowered complication rates in lumbar fusion patients. These findings support the implementation of ERAS protocols in spinal surgery, emphasizing their role in enhancing postoperative care.

Outcome prediction following lumbar disc surgery: a longitudinal study of outcome trajectories, prognostic factors, and risk models.

This study aimed to 1) describe the 2-year postoperative trajectories of leg pain and overall clinical outcome after surgery for radiculopathy, 2) identify the preoperative prognostic factors that predict trajectories representing poor clinical outcomes, and 3) develop and internally validate multivariable prognostic models to assist with clinical decision-making. This retrospective cohort study included patients enrolled in the Canadian Spine Outcomes and Research Network who were diagnosed with lumbar disc pathology and radiculopathy and had undergone lumbar discectomy at one of 18 spine centers. Potential outcome predictors included preoperative demographic, health-related, and clinical prognostic factors. Clinical outcomes were 1) 2-year univariable latent trajectories of leg pain intensity (numeric pain rating scale) and 2) overall outcomes comprising multivariable trajectories showing the combined postoperative courses of leg and back pain intensity (numeric pain rating scale) together with pain-related disability (Oswestry Disability Index). Each outcome model identified a subgroup of patients classified as experiencing a poor outcome based on minimal change in their clinical status after surgery. Multivariable risk model performance and internal validity were evaluated with discrimination and calibration statistics based on bootstrap shrinkage with 500 resamplings. The authors included data from 1142 patients (47.6% female). The trajectory models identified 3 subgroups based on the patients' postoperative courses of pain or disability: 88.6% of patients in the leg pain model and 71.9% in the overall outcome model experienced a good-to-excellent outcome. The models classified 11.4% (leg pain outcome) and 28.2% (overall outcome) of patients as experiencing a poor clinical outcome, which was defined as minimal improvement in pain or disability after surgery. Eleven individual demographic, health, and clinical factors predicted patients' poor leg pain and overall outcomes. The performance of the multivariable risk model for leg pain was inadequate, while the overall outcome model had acceptable discrimination, calibration, and internal validity for predicting a poor surgical outcome. Patients with lumbar radiculopathy experience heterogeneous postoperative trajectories of pain and disability after lumbar discectomy. Individual preoperative factors are associated with postoperative outcomes and can be combined within a multivariable risk model to predict overall patient outcome. These results may inform clinical practice but require external validation before confident clinical implementation.

Recovery of Comfort and Capability After Upper Extremity Fracture Is Predominantly Associated With Mindset: A Longitudinal Cohort From the United Kingdom

OBJECTIVES: To determine the relative influence of mindset and fracture severity on 9-month recovery trajectories of pain and capability after upper extremity fractures. METHODS: Design: Secondary use of longitudinal data. Setting: Single Level-1 trauma center in Oxford, United Kingdom. Patient selection: English-speaking adults with isolated proximal humerus, elbow, or distal radius fracture managed operatively or nonoperatively were included, and those with multiple fractures or cognitive deficit were excluded. Outcome measures and comparisons: Incapability (Quick-DASH) and pain intensity (11-point rating scale) were measured at baseline, 2–4 weeks, and 6–9 months after injury. Cluster analysis was used to identify statistical groupings of mindset (PROMIS Depression and Anxiety, Pain Catastrophizing Scale, and Tampa Scale for Kinesiophobia) and fracture severity (low/moderate/high based on OTA/AO classification). The recovery trajectories of incapability and pain intensity for each mindset grouping were assessed, accounting for various fracture-related aspects. RESULTS: Among 703 included patients (age 59 ± 21 years, 66% women, 16% high-energy injury), 4 statistical groupings with escalating levels of distress and unhelpful thoughts were identified (fracture severity was omitted considering it had no differentiating effect). Groups with less healthy mindset had a worse baseline incapability (group 2: β = 4.1, 3: β = 7.5, and 4: β = 17) and pain intensity (group 3: β = 0.70 and 4: β = 1.4) (P &lt; 0.01). Higher fracture severity (β = 4.5), high-energy injury (β = 4.0), and nerve palsy (β = 8.1) were associated with worse baseline incapability (P &lt; 0.01), and high-energy injury (β = 0.62) and nerve palsy (β = 0.76) with worse baseline pain intensity (P &lt; 0.01). Groups 3 and 4 had a prolonged rate of recovery of incapability (β = 1.3, β = 7.0) and pain intensity (β = 0.19, β = 1.1) (P &lt; 0.02). CONCLUSIONS: Patients with higher levels of unhelpful thinking and feelings of distress regarding symptoms experienced worse recovery of pain and incapability, with a higher effect size than fracture location, fracture severity, high-energy injury, and nerve palsy. These findings underline the importance of anticipating and addressing mental health concerns during recovery from injury. LEVEL OF EVIDENCE: Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

What to expect following targeted muscle reinnervation/regenerative peripheral nerve interface: Pain outcomes in an amputee population

Targeted Muscle Reinnervation (TMR) and Regenerative Peripheral Nerve Interface (RPNI) have shown promise in improving and/or preventing neuropathic pain and reducing narcotic use in amputees. However, anecdotally, some patients experience an increase in pain in the first few months post-operatively. This study explored the pain trajectory of 22 upper and lower extremity amputees following their TMR and/or RPNI procedure in their first post-operative year, with a focus on the patterns of recovery the first few months. Our study found an overall decrease in the amount of pain and pain medication use at various time points post-operatively. Of note, several individuals had an increase in pain or required an increase in pain medications in the first three months. Different outcomes for patients who underwent primary versus secondary surgery were seen, which has been observed in other studies. Further prospective studies are warranted to evaluate these trends in pain after TMR or RPNI surgery in individuals with major limb amputations.

218 Pain Trajectories Following an Emergency Department Visit and Chronic Pain

218 Pain Trajectories Following an Emergency Department Visit and Chronic Pain

Effect of comorbid psychologic and somatic symptom trajectories on early onset substance use among U.S. youth in the ABCD study

BackgroundAdolescent substance use (SU) is often motivated by a desire to alleviate undesirable symptoms. To test the self-medication hypothesis, we examined associations between comorbid psychologic and somatic symptom trajectories across early adolescence and early onset SU. MethodsUsing Adolescent Brain Cognitive Development Study® data, we differentiated youth who reported no SU at baseline based on their comorbid anxiety, depression, pain, somatic and somnolence symptom trajectories. The outcome, early onset SU (by age 13–14 years) was derived from self-reported alcohol (≥full drink), tobacco (full regular/e-cigarette), marijuana, or other drug use over 5 years. Results8311 participants were classified with Asymptomatic (27.8 %), Low/stable (39 %), Moderate/persistent (25.3 %) or High/worsening trajectories (7.9 %) from age 9.97 ± 0.74 to 13.57 ± 0.88 years. Early onset SU was 56 % higher for Moderate-High compared to Asymptomatic-Low symptom trajectory groups (12.5 % vs. 8.5 %; OR 1.56 [95 % CI 1.33, 1.79]). Adjusted for covariates, the High/worsening group was more likely than the Asymptomatic group to report use of any substance (adj.OR 2.13 [95 % CI 1.40, 3.25], Alcohol (adj.OR 2.80 [95 % CI 1.56, 5.02]), Tobacco (adj.OR 2.09 [95 % CI 1.23, 3.55]), and Marijuana (adj.OR 2.33 [95 % CI 1.36, 3.99]). Longitudinal, time-lagged analyses revealed potential feedback effects of earlier depression on subsequent SU, and earlier SU on later depression (p < 0.001). ConclusionHigher comorbid symptom trajectories emerging in late childhood increased the likelihood of early onset SU. Since negative feedback loops may contribute to symptom persistency, ongoing and potentially harmful SU for at-risk youth, addressing comorbid symptoms that emerge during late childhood is warranted.

Influence of nationality on the trajectories of pain, disability and health related quality of life in neck and back patients – The Norwegian Neck and Back Registry

PurposeThe aim of the current study was to examine differences in trajectories of pain, disability, and health related quality of life (HRQOL) between non-Norwegian and Norwegian patients with neck and back pain over 12 months. MethodsThe study is based on data from the Norwegian Neck and Back Registry (NNRR). The data include demographics and patient-reported outcome measures such as pain rating, the Oswestry Disability Index and HRQOL. Data were collected at baseline, 6 and 12 months after consultation for neck and back pain in specialist health care. ResultsA total of 5012 patients were included. We found a significant main effect of nationality. Non-Norwegian patients showed higher levels of pain and disability and lower HRQOL than Norwegian patients. Both patient groups exhibited an improvement in all three outcomes at 6- and 12-month follow-ups. The improvement was similar for pain with the greatest improvement taking place during the first 6 months and then slightly flattening out. For disability and HRQOL, we observed a differential effect over time as a function of nationality. Both groups reported an improvement the first 6 months, however, while the Norwegian patients continued their improvement to 12 months, non-Norwegian patients had increasing disability and lower HRQOL at 12 months. ConclusionBoth patient groups improved over the 12-month period. Non-Norwegian patients showed an overall higher level of pain, disability and lower HRQOL compared to Norwegian patients, with a differential effect over time as a function of nationality for disability and HRQOL. Suggesting that future studies should focus on potential systemic barriers that may affect the recovery of neck and back patients based on nationality.

Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means

The most well-known unsupervised classification algorithms allow for the identification of hard or probabilistic partitions. However, when working with complex datasets such as those found in the healthcare domain, it is important to note that these partitions may have limitations, particularly when considering the uncertainty associated with medical data. Indeed, these algorithms do not account for modeling outliers, imprecise, or uncertain observations. In this study, we focused on analyzing time series of barometers attributes related to pain intensity in individuals with chronic pain. Our goal was to identify different typologies of care trajectories, highlighting distinct trajectories of chronic pain through clustering techniques. We propose a soft clustering approach based on feature extraction and selection from sequential data, aiming to improve interpretability and enhance the performance of the clustering procedure. Time series feature extraction and selection effectively handles complex and noisy data, improving interpretability and clustering performance. Evidential soft clustering models data uncertainty and imprecision, providing a better representation of nuances and variations in complex, raw data. The first step involves extracting features from the available time series and selecting the most important attributes. For this purpose, we use a time series feature extractor (Tsfresh) and unsupervised feature selection methods, including unsupervised Random Forest, Laplacian Score, and unsupervised Spectral Feature Selection. The second step involves using the evidential c-means (ECM) clustering algorithm on the extracted attributes. The ECM method, based on belief functions, allows for generating a credal partition that has the ability to model various forms of uncertainty. This partition can then be transformed into a hard partition to study individuals based on this uncertainty criterion. The results reveal the existence of two clusters of chronic pain related to discomfort and well-being, exhibiting excellent separability and compactness. Additionally, an uncertain cluster emerges grouping patients with intermediate characteristics. The interpretability of the determined partitions through descriptive analysis, statistical tests, and repeated measures multinomial regression on clinical and demographic data allowed us to determine the profile of patients in the identified trajectories.

How Well Can We Measure Chronic Pain Impact in Existing Longitudinal Cohort Studies? Lessons Learned

Multiple large longitudinal cohorts provide opportunities to address questions about predictors of pain and pain trajectories, even when not anticipated in the design of the historical databases. This focus article uses 2 empirical examples to illustrate the processes of assessing the measurement properties of data from large cohort studies to answer questions about pain. In both examples, data were screened to select candidate variables that captured the impact of chronic pain on self-care activities, productivity, and social activities. We describe a series of steps to select candidate items and evaluate their psychometric characteristics in relation to the measurement of pain impact proposed. In the UK Biobank, a general lack of internal consistency of variables selected prevented the identification of a satisfactory measurement model, with lessons for the measurement of chronic pain impact. In the English Longitudinal Study of Ageing, a measurement model for chronic pain impact was identified, albeit limited to capturing the impact of pain on self-care and productivity but lacking coverage related to social participation. In conjunction with its Supplementary Material, this focus article aims to encourage exploration of these valuable prospectively collected data to support researchers to make explicit the relationships between items in the databases and constructs of interest in pain research and to use empirical methods to estimate the possible biases in these variables. PerspectiveThis focus article outlines a theory-driven approach for fitting new measurement models to data from large cohort studies and evaluating their psychometric properties. This aims to help researchers develop an empirical understanding of the gains and limitations connected with the process of repurposing the data stored in these datasets.

Effect of non-steroidal anti-inflammatory drugs on the management of postoperative pain after cardiac surgery: a multicenter, randomized, controlled, double-blind trial (KETOPAIN Study)

BackgroundNon-steroidal anti-inflammatory drugs (NSAIDs) are recommended for the management of acute postoperative pain as part of a multimodal strategy to reduce opioid use, relieve pain, and reduce chronic pain in non-cardiac surgery. However, significant concerns arise in cardiac surgery due to the potential adverse effects of NSAID including increased bleeding and acute kidney injury (AKI). We hypothesized that NSAIDs are effective against pain and safe in the early postoperative period following cardiac surgery, taking contraindications into account.MethodsThe KETOPAIN trial is a prospective, double blind, 1:1 ratio, versus placebo multicentric trial, randomizing 238 patients scheduled for cardiac surgery. Written consent will be obtained for all participants. The inclusion criterion is patients more than 18 years old undergoing for elective cardiac surgery under cardiopulmonary bypass (CPB). Patients will be allocated to the intervention (ketoprofen) group (n = 119) or the control (placebo) group (n = 119). In the intervention group, in addition to the standard treatment, patients will receive NSAIDs (ketoprofen) at a dose of 100 mg each 12 h 48 h after. The control group, in addition to the standard treatment, will receive a placebo of NSAIDs every 12 h for 48 h after surgery. An intention-to-treat analysis will be performed. The primary endpoint will be the intensity of acute postoperative pain at rest at 24 h from the end of surgery. Pain will be assessed using the numerous rating scale. The secondary endpoints will be postoperative pain on coughing during chest physiotherapy, postoperative pain until day 7, the pain trajectory between day 3 and day 7, cumulative opioid consumption within 48 h after surgery, nausea and vomiting, the occurrence of postoperative pulmonary complications within the first 7 days after surgery, neuropathic pain at 3 months, and quality of life at 3 months.DiscussionNSAIDs function as non-selective, reversible inhibitors of the cyclooxygenase enzyme and play a role in a multimodal pain management approach. While there are recommendations supporting the use of NSAIDs in major non-cardiac surgery, recent guidelines do not favor their use in cardiac surgery. However, this is based on low-quality evidence. Major concerns regarding NSAID use in cardiac surgery patients are potential increase in postoperative bleeding or AKI. However, few studies support the possible use of NSAIDs without the risk of bleeding and/or AKI. Also, in a recent French survey, many anesthesiologists reported using NSAIDs in cardiac surgery. To date, no large randomized study has been conducted to evaluate the efficacy of NSAIDs in the management of postoperative pain in cardiac surgery. The expected outcome of this study is an improvement in the management of acute postoperative pain in cardiac surgery with a multimodal strategy including the use of NSAIDs.Trial registrationClinicalTrials.gov NCT06381063. Registered on April 24, 2024.

Preoperative measures of pain at rest and movement-evoked pain in knee arthroplasty: Associations with pain and function outcome trajectories from a prospective multicentre longitudinal cohort study.

The study of pain at rest (PAR) and movement-evoked pain (MEP) in persons with musculoskeletal pain has received substantial attention. Despite strong interest, relatively little attention has been directed to the psychometric development of these constructs. Our purpose was to explore the relationship between PAR and MEP and to examine the prognostic utility of these measures in persons with knee arthroplasty. We used prospectively collected data from persons scheduled for knee arthroplasty who had moderate to high levels of pain catastrophizing. Preoperative latent variables for PAR and MEP were developed and used to determine if they were associated with a binary latent variable of good versus poor pain and function outcome trajectories. Factor correlations were used to determine the extent to which the variance for PAR and MEP was overlapping. PAR and MEP are significant predictors of good versus poor pain and function classes. Odds ratios ranged from 1.21 to 1.64 (p < 0.001) indicating a significant increase in the likelihood of poor outcome. Correlation between PAR and MEP latent variables was high (r = 0.89; 95% CI: 0.86-0.92) indicating substantially overlapping variance. PAR and MEP, as defined in our study, can be used to make prognostic judgements regarding risk of poor postoperative outcome trajectory following knee arthroplasty. However, PAR and MEP showed substantially overlapping variance indicating that measurements of both are not necessary when making prognostic assessments. Preoperative PAR and MEP latent variables, as defined in our study, had prognostic significance for 1 year pain and function outcome trajectories. PAR and MEP latent variables had substantially overlapping variance which suggested that only one is needed to make prognostic judgements. The prognostic significance of PAR and MEP as well as their substantially overlapping variance is new to the field prognostic research in knee arthroplasty.

Distinct trajectories of neuropsychiatric symptoms in the 12 months following traumatic brain injury (TBI): a TRACK-TBI study.

Neuropsychiatric symptoms are common after traumatic brain injury (TBI) and often resolve within 3 months post-injury. However, the degree to which individual patients follow this course is unknown. We characterized trajectories of neuropsychiatric symptoms over 12 months post-TBI. We hypothesized that a substantial proportion of individuals would display trajectories distinct from the group-average course, with some exhibiting less favorable courses. Participants were level 1 trauma center patients with TBI (n = 1943), orthopedic trauma controls (n = 257), and non-injured friend controls (n = 300). Trajectories of six symptom dimensions (Depression, Anxiety, Fear, Sleep, Physical, and Pain) were identified using growth mixture modeling from 2 weeks to 12 months post-injury. Depression, Anxiety, Fear, and Physical symptoms displayed three trajectories: Stable-Low (86.2-88.6%), Worsening (5.6-10.9%), and Improving (2.6-6.4%). Among symptomatic trajectories (Worsening, Improving), lower-severity TBI was associated with higher prevalence of elevated symptoms at 2 weeks that steadily resolved over 12 months compared to all other groups, whereas higher-severity TBI was associated with higher prevalence of symptoms that gradually worsened from 3-12 months. Sleep and Pain displayed more variable recovery courses, and the most common trajectory entailed an average level of problems that remained stable over time (Stable-Average; 46.7-82.6%). Symptomatic Sleep and Pain trajectories (Stable-Average, Improving) were more common in traumatically injured groups. Findings illustrate the nature and rates of distinct neuropsychiatric symptom trajectories and their relationship to traumatic injuries. Providers may use these results as a referent for gauging typical v. atypical recovery in the first 12 months post-injury.

Development, validation and use of custom software for the analysis of pain trajectories

In chronic musculoskeletal conditions, the prognosis tends to be more informative than the diagnosis for the future course of the disease. Many studies have identified clusters of patients who seemingly share similar pain trajectories. In a dataset of low back pain (LBP) patients, pain trajectories have been identified, and distinct trajectory types have been defined, making it possible to create pattern recognition software that can classify patients into respective pain trajectories reflecting their condition. It has been suggested that the classification of pain trajectories may create clinically meaningful subgroups of patients in an otherwise heterogeneous population of patients with LBP. A software tool was created that combined the ability to recognise the pain trajectory of patients with a system that could create subgroups of patients based on their characteristics. This tool is primarily meant for researchers to analyse trends in large heterogeneous datasets without large losses of data. Prospective analysis of pain trajectories is not directly helpful for clinicians. However, the tool might aid in the identification of patient characteristics which have predictive capabilities of the most likely trajectory a patient might experience in the future. This will help clinicians to tailor their advice and treatment for a specific patient.

Postoperative pain trajectory and opioid requirements after laparoscopic bariatric surgery: a single-centre historical cohort study.

Concerns around delayed emergence and opioid-induced ventilatory impairment in bariatric surgery can lead to intraoperative reliance on short-acting opioids and avoidance of long-acting analgesics with potential sedative effects. Nevertheless, an overly-conservative intraoperative analgesic strategy may result in significant pain at emergence and higher opioid requirements in later phases of care. We sought to establish the pattern of intraoperative analgesic use in bariatric surgical patients as well as their postoperative pain trajectory and opioid requirements. We undertook a single-centre historical cohort study. We explored associations between intraoperative analgesic interventions and pain scores and opioid requirements in postanesthesia care units (PACUs), and associations between the quality of analgesia at emergence and subsequent pain and patient-centred recovery outcomes. We extracted perioperative data for 939 patients who underwent bariatric metabolic surgery between January 2018 and October 2019. Only 39% of patients received long-acting opioids intraoperatively and there was minimal use of nonopioid analgesic adjuncts. Nearly 80% of patients reported moderate-to-severe pain on PACU arrival; 97% of patients received intravenous opioids for rescue analgesia (mean dose, 31mg oral morphine equivalents). Lower pain scores at PACU admission and discharge were associated with subsequent lower inpatient pain scores, lower opioid requirements, shorter time to ambulation, and shorter length of hospital stay. In bariatric surgical patients, effective intraoperative analgesic strategies that improve early pain control may have an impact on recovery and pain experience. Judicious use of intraoperative opioids coupled with opioid-sparing multimodal analgesic techniques should be considered and balanced against concerns regarding opioid-related adverse effects in this patient population.

Trajectories of pain and their associations with long-term cognitive decline in older adults: evidence from two longitudinal cohorts.

Pain is a dynamic experience that varies over time, but it remains unknown whether trajectories of pain are associated with subsequent cognitive decline. The purpose of this study was to identify distinct trajectories of pain presence and activity-limiting pain and investigate their longitudinal associations with the rate of subsequent cognitive decline in older adults. A total of 5685 participants from the English Longitudinal Study of Ageing (ELSA) and 7619 participants from the Health and Retirement Study (HRS) were included. Pain presence trajectories were identified over eightyears in the ELSA and 10years in the HRS, while trajectories of activity-limiting pain were identified over 10years in the HRS. We utilised linear mixed-effects models to investigate the long-term relationship between pain trajectories and the rate of cognitive decline across various domains, including memory, orientation, executive function and global cognition. Three pain presence trajectories were identified. Moderate-increasing and high-stable groups exhibited steeper declines in global cognition than the low-stable group. Furthermore, individuals in the moderate-increasing group experienced a more rapid decline in executive function, while the high-stable group showed a faster decline in orientation function. Two trajectories of activity-limiting pain were identified, with the moderate-increasing group experiencing a faster decline in orientation function and global cognition. The trajectories of both pain presence and activity-limiting pain are linked to the rate of subsequent cognitive decline among older people. Interventions for specific pain trajectories might help to delay the decline rate of cognition in specific domains.

Trajectories of pain and depressive symptoms among people living with low back pain during the COVID-19 pandemic: a 24-month longitudinal study.

Introduction: We explored trajectories of pain intensity and depressive symptoms over the first 24 months of the pandemic in people with low back pain. Methods: This longitudinal study was conducted alongside the Quebec Low Back Pain Study. Starting in April 2020 and every 3 months until July 2022, 291 participants completed an online survey. Group-based trajectory modeling was used to identify patterns of pain intensity and depressive symptoms. Onset outbreak characteristics were then put in relation with trajectory groups using multivariate logistic regression. Results: The analysis revealed 5 trajectories of pain intensity and depressive symptoms, respectively. The pain trajectories were stable mild (n = 17, 5.8%); stable moderate (n = 103, 35.4%); stable severe (n = 81, 27.8%); U-shape (n = 24, 8.3%), and inverted U-shape (n = 66, 22.7%). The trajectories of depressive symptoms were stable none (n = 58, 19.9%); stable very mild (n = 61, 21.0%); stable mild (n = 85, 29.2%); stable moderate (n = 59, 21.7%); and severe slightly improving (n = 24, 8.3%). Pre-COVID everyday/nearly everyday pain, average pain intensity, and widespread bodily pain were predictive of pain trajectory groups. Higher pre-COVID depression, acute stress disorder, and lockdown measures-related stress were associated with moderate/severe depressive trajectories. Discussion: Our findings indicated relative stability of pain and depressive symptoms among participants during the COVID-19 pandemic but also highlighted subgroups of people who experienced temporary deterioration or improvement over the first months of the pandemic that then reverted back to baseline levels. Modifiable risk factors were identified before the onset of the pandemic, which could give preventive measures in targeted populations.

Patient and Staff Insights on Digital Care Pathways for Patients With Low Back Pain in the Emergency Department: A Qualitative Study.

Back pain is a huge global problem. For some people, the pain is so severe that they feel the need to present to an emergency department (ED). Our aim was to explore patient and staff perspectives for the development of a digital care pathway (DCP) for people with back pain who have presented to ED, including acceptability, barriers and facilitators. We used a descriptive phenomenology approach using semi-structured interviews with patient and staff participants at a tertiary hospital. Interviews were transcribed and data codes were developed using inductive thematic analysis. Themes were discussed between researchers until consensus was achieved. A total of 16 interviews were carried out, half of which involved patient participants. We identified three major themes: (i) expectations and experiences of staff and patients with low back pain in ED; (ii) a digital care pathway can empower patients and support clinicians in providing care; and (iii) acceptability, barriers, facilitators and recommendations of engaging with a DCP to track the trajectory of back pain. Each theme was further categorised into subthemes. Introducing a DCP was perceived as acceptable and beneficial by patients and staff. Both groups were aware of the potential participant burden if surveys were too long. Introducing a DCP could be a valuable adjunct to current management care models, providing a standardised source of education with the potential for individualised tracking and monitoring. The design and development of a DCP will need to consider reported facilitators and address perceived barriers for engagement. This project sought insights from patients and staff about a digital care pathway. This forms the first step of patient and consumer consultation before implementing a digital care pathway. All consumers were offered the opportunity to review their responses and our interpretation.

Osteoarthritis year in review 2024: Epidemiology and therapy

This "Year in Review" presents a curated selection of research themes and individual studies within the clinical osteoarthritis (OA) field, focusing on epidemiology and therapy.The search was conducted in electronic database MEDLINE from March 4, 2023, to March 31, 2024, specifically targeting English-language articles involving human participants. Inclusions were based on perceived importance and relevance to identifying risk factors or advancing OA treatments. A total of 6,539 studies were screened by the 5 authors, resulting in 157 studies considered for potential inclusion. Ultimately, 44 studies were selected, uncovering six key OA-related themes: i) the burden of OA (mostly from Global Burden of Disease studies), ii) pain drivers and trajectories, iii) impacts of sex/gender, iv) OA risk factors, and treatments for v) hand and vi) knee OA. The prevalence of OA continues to rise, particularly affecting women, with unclear distinctions in risk factors and treatment responses between sex. Associations with atopy were demonstrated in two significant databases. Notably, the authors were particularly interested in recent high-quality methodology randomised controlled trials focusing on hand (methotrexate, denosumab, colchicine, topical bethamethasone) and knee OA with conflicting results about stem cells injection. These findings collectively contribute to show the growing burden of OA, but also to help the understanding of OA pathophysiology and inform ongoing efforts to enhance management for people with OA.