Postoperative Pain Trajectories Research Articles

Chronic Postsurgical Pain in Children and Adolescents: A Call for Action.

Chronic postsurgical pain (CPSP) affects a significant proportion of children and adolescents after major surgery and is a detriment to both short- and long-term recovery outcomes. While clinical characteristics and psychosocial risk factors for developing CPSP in children and adults are well established in the literature, there has been little progress on the prevention and management of CPSP after pediatric surgery. Limited evidence to support current pharmacologic approaches suggests a fundamentally new paradigm must be considered by clinicians to both conceptualize and address this adverse complication. This narrative review provides a comprehensive evaluation of both the known and emerging mechanisms that support our current understanding of CPSP. Additionally, we discuss the importance of optimizing perioperative analgesic strategies to mitigate CPSP based on individual patient risks. We highlight the importance of postoperative pain trajectories to identify those most at risk for developing CPSP, the early referral to multi-disciplinary pain clinics for comprehensive evaluation and treatment of CPSP, and additional work needed to differentiate CPSP characteristics from other chronic pain syndromes in children. Finally, we recognize ongoing challenges associated with the universal implementation of available knowledge about pediatric CPSP into practically useful care plans for clinicians.

Postoperative pain trajectories in total hip arthroplasty.

Total hip arthroplasty (THA) is a common procedure to address pain and enhance function in hip disorders such as osteoarthritis. Despite its success, postoperative patient recovery exhibits considerable heterogeneity. This study aimed to investigate whether patients follow distinct pain trajectories following THA and identify the patient characteristics linked to suboptimal trajectories. This retrospective cohort study analyzed THA patients at a large academic centre (NYU Langone Orthopedic Hospital, New York, USA) from January 2018 to January 2023, who completed the Patient-Reported Outcomes Measurement Information System (PROMIS) pain intensity questionnaires, collected preoperatively at one-, three-, six-, 12-, and 24-month follow-up times. Growth mixture modelling (GMM) was used to model the trajectories. Optimal model fit was determined by Bayesian information criterion (BIC), Vuong-Lo-Mendell-Rubin likelihood ratio test (VLMR-LRT), posterior probabilities, and entropy values. Association between trajectory groups and patient characteristics were measured by multinomial logistic regression using the three-step approach. Among the 1,249 patients, a piecewise GMM model revealed three distinct pain trajectory groups: 56 patients (4.5%) in group 1; 1,144 patients (91.6%) in group 2; and 49 patients (3.9%) in group 3. Patients in group 2 experienced swift recovery post-THA and minimal preoperative pain. In contrast, groups 1 and 3 initiated with pronounced preoperative pain; however, only group 3 exhibited persistent long-term pain. Multinomial regression indicated African Americans were exceedingly likely to follow trajectory groups 1 (odds ratio (OR) 2.73) and 3 (OR 3.18). Additionally, odds of membership to group 3 increased by 12% for each BMI unit rise, by 19% for each added postoperative day, and by over four if discharged to rehabilitation services (OR 4.07). This study identified three distinct pain trajectories following THA, highlighting the role of individual patient factors in postoperative recovery. This emphasizes the importance of preoperatively addressing modifiable risk factors associated with suboptimal pain trajectories, particularly in at-risk patients.

Influences of Cognitive Function and Depressive Symptoms on Pain Trajectories During the First Year Following Hip Fracture Surgery: A Prospective Cohort Study

ObjectivesThe purposes of this study were to explore trajectories for patterns of postoperative pain intensity during the first year following hip fracture surgery and the relationships between pain trajectory groups, cognitive impairment, and depressive symptoms. DesignA prospective cohort correlational study. Setting and ParticipantsA total of 325 patients aged 60 years or older who had received hip fracture surgery at a 3000-bed medical center in northern Taiwan from September 2012 to March 2020. MethodsData were collected before hospital discharge and at 1, 3, 6, and 12 months postdischarge. Pain intensity was measured using a numeric rating scale; cognitive function was measured with the Taiwan version of the Mini-Mental State Examination; and depressive symptoms were measured by the Geriatric Depression Scale–Short Form. Patients with similar postoperative pain trajectories were categorized into groups and compared with group-based trajectory modeling. Cognitive impairment and depressive symptoms associated with each group were identified by logistic regression. ResultsThree different pain trajectory groups were identified: drastic decline–minimum pain (47.7%), gentle decline–mild pain (45.5%), and slight decline–moderate pain (6.8%). Patients with cognitive impairment [odds ratio (OR) 11.01, 95% CI 2.99-10.51] and at risk for depression (OR 49.09, 95% CI 10.46-230.30) were more likely to be in the moderate pain group than the minimum pain group. Patients with cognitive impairment (OR 2.07, 95% CI 1.25-3.42) were more likely to be in the mild pain group than the minimum pain group. Patients at risk for depression (OR 9.68, 95% CI 3.16-29.63) were more likely to be in the moderate pain group than the mild pain group. Conclusions and ImplicationsIdentifying postoperative pain trajectories can provide insight into the most appropriate pain management for older persons following hip fracture surgery. Attention should focus on assessments for cognitive impairment and risk of depression to prevent persistent postoperative pain. Future studies of older patients with clinically diagnosed cognitive impairment and depression are suggested.

The Effect of Preoperative Disability, Cognitive Impairment, Frailty and Opioid Use on Acute Postoperative Pain in Older Patients Undergoing Surgery A Prospective Cohort Study

Globally, life expectancy is increasing, leading to more surgeries being performed in older patients. Postoperative pain is associated with complications after surgery. The aim of this study is to explore potential age-related risk factors for acute postoperative pain in older patients undergoing surgery. This was a prospective, single-center study. Patients ≥65 years, with and without disability, as defined by the WHO Disability Assessment Schedule 2.0, undergoing elective surgery, were compared. Primary outcome was the postoperative pain (ie, numeric rating scale (NRS) score) on the first postoperative day. Secondary outcomes were postoperative pain and pain trajectories in patients with and without mild cognitive impairment (MCI), frailty, preoperative opioid use, and new-onset disability after surgery. Between February 2019 and July 2020, 155 patients were enrolled. On the first day after surgery, postoperative pain did not differ between patients with and without disability. NRS scores differed between patients with-, and without MCI on the first (P = .01), and second postoperative day (P < .01). Patients who used opioids before surgery reported higher median NRS score on the first (P < .001) and second (P < .01) postoperative day. Out of a total of 1816 NRS scores, 2 pain clusters were identified. Acute postoperative pain did not differ between patients with or without preoperative disability and frailty in older patients undergoing surgery. Reduced postoperative pain in older patients with MCI warrants further investigation. The PIANO study (Comparison of Postoperative NeurocognitiveFunction in Older Adult Patients with and without Diabetes Mellitus) was registered with www.clinicaltrialregister.nl (search term: Which can predict memory problems after surgery better; blood sugar levels or memory before surgery?). PerspectiveThis study explored risk factors for acute postoperative pain in older patients. No differences in postoperative pain were observed in patients with or without preexistent disability or frailty, however, patients with mild cognitive impairment experienced reduced pain. We suggest to simplify pain assessment in this group and take functional recovery into account.

Modifiable factors associated with a consistently high acute pain trajectory after surgical treatment of traumatic fractures in Ethiopia: a multi-center prospective cohort study

BackgroundIn Ethiopia, little is known about postoperative pain trajectories and possible predictive factors associated with them in patients undergoing surgery following traumatic fractures.MethodsThis multi-center prospective observational cohort study included surgical candidates for traumatic fractures (n = 218). Worst pain intensity was measured with an 11-point numeric rating scale on the first 4 postoperative days and day of hospital discharge. Growth mixture modeling was used to identify subgroups of patients based on their pain trajectories, and logistic regression models to quantify associations between pain trajectories and demographic, clinical, psychological, and life style factors.ResultsTwo postoperative pain trajectory subgroups were identified: rapid pain relief (48% of included individuals) and consistently high pain (52% of included individuals). Sub-analysis stratified by cause of injury demonstrated that higher preoperative pain was an independent risk factor for consistently high postoperative pain regardless of the patient’s injury type: traffic accident (OR = 1.48, 95% CI 1.23–1.79), machine/tool injury or conflict (OR = 1.58, 95% CI 1.11–2.26), or fall (OR = 1.47, 95% CI 1.08–1.99). Moreover, longer surgical time was a risk factor for consistently high postoperative pain among patients who had a fall-related injury (OR = 1.02, 95% CI 1.00–1.03). In contrast, among patients with a traffic-related injury, receiving a nerve block was a protective factor (OR = 0.19, 95% CI 0.04–0.87) compared with general anesthesia.ConclusionHigher preoperative pain and longer surgical time were associated with a consistently high acute postoperative pain trajectory. Clinicians may use these potentially modifiable factors to identify patients at risk for consistently high pain during the early postoperative period.

Pain Trajectory after Short-Stay Anorectal Surgery: A Prospective Observational Study

The evolution of pain after anorectal surgery has not been well characterized. The main objective of this study is to evaluate patterns in acute postoperative pain in patients undergoing short-stay anorectal surgery. A total of 217 patients were included in the study, which used group-based trajectory modeling to estimate postoperative pain and then examined the relationships between sociodemographic or surgical factors and pain trajectories. Three distinct postoperative pain trajectories were determined: hemorrhoidectomy (OR, 0.15), higher anxiety (OR, 3.26), and a higher preoperative pain behavior score (OR, 3.15). In multivariate analysis, they were associated with an increased likelihood of being on the high pain trajectory. The pain trajectory group was related to postoperative analgesic use (p < 0.001), with the high-low group needing more nonsteroidal analgesics. The study showed that there were three obvious pain trajectories after anorectal surgery, including an unreported low-moderate-low type. More than 60% of patients maintained moderate to severe pain within 7 days after the operation. These postoperative pain trajectories were predominantly defined by surgery factors and patient factors.

Trajectory of worst pain within the first two weeks following pelvic and sacral tumor surgery and long-term outcome: a pilot observational prospective cohort study

BackgroundPain management after pelvic and sacral tumor surgery is challenging and requires a multidisciplinary and multimodal approach. Few data on postoperative pain trajectories have been reported after pelvic and sacral tumor surgery. The aim of this pilot study was to determine pain trajectories within the first 2 weeks after surgery and explore the impact on long-term pain outcomes.MethodsPatients scheduled for pelvic and sacral tumor surgery were prospectively recruited. Worst/average pain scores were evaluated postoperatively using questions adapted from the Revised American Pain Society Patient Outcome Questionnaire (APS-POQ-R) until pain resolution was reached or up to 6 months after surgery. Pain trajectories over the first 2 weeks were compared using the k-means clustering algorithm. Whether pain trajectories were associated with long-term pain resolution and opioid cessation was assessed using Cox regression analysis.ResultsA total of 59 patients were included. Two distinct groups of trajectories for worst and average pain scores over the first 2 weeks were generated. The median pain duration in the high vs low pain group was 120.0 (95% CI [25.0, 215.0]) days vs 60.0 (95% CI [38.6, 81.4]) days (log rank p = 0.037). The median time to opioid cessation in the high vs low pain group was 60.0 (95% CI [30.0, 90.0]) days vs 7.0 (95% CI [4.7, 9.3]) days (log rank p < 0.001). After adjusting for patient and surgical factors, the high pain group was independently associated with prolonged opioid cessation (hazard ratio [HR] 2.423, 95% CI [1.254, 4.681], p = 0.008) but not pain resolution (HR 1.557, 95% CI [0.748, 3.243], p = 0.237).ConclusionsPostoperative pain is a significant problem among patients undergoing pelvic and sacral tumor surgery. High pain trajectories during the first 2 weeks after surgery were associated with delayed opioid cessation. Research is needed to explore interventions targeting pain trajectories and long-term pain outcomes.Trial registrationThe trial was registered at ClinicalTrials.gov (NCT03926858, 25/04/2019).

Identifying Patients Vulnerable to Inadequate Pain Resolution After Cardiac Surgery

Acute postoperative pain (APOP) is often evaluated through granular parameters, though monitoring postoperative pain using trends may better describe pain state. We investigated acute postoperative pain trajectories in cardiac surgical patients to identify subpopulations of pain resolution and elucidate predictors of problematic pain courses. We examined retrospective data from 2810 cardiac surgical patients at a single center. The k-means algorithm for longitudinal data was used to generate clusters of pain trajectories over the first 5 postoperative days. Patient characteristics were examined for association with cluster membership using ordinal and multinomial logistic regression. We identified 3 subgroups of pain resolution after cardiac surgery: 37.7% with good resolution, 44.2% with moderate resolution, and 18.2% exhibiting poor resolution. Type I diabetes (2.04 [1.00-4.16], p = 0.05), preoperative opioid use (1.65 [1.23-2.22], p = 0.001), and illicit drug use (1.89 [1.26-2.83], p = 0.002) elevated risk of membership into worse pain trajectory clusters. Female gender (1.72 [1.30-2.27], p < 0.001), depression (1.60 [1.03-2.50], p = 0.04) and chronic pain (3.28 [1.79-5.99], p < 0.001) increased risk of membership in the worst pain resolution cluster. This study defined 3 APOP resolution subgroups based on pain score trend after cardiac surgery and identified factors that predisposed patients to worse resolution. Patients with moderate or poor pain trajectory consumed more opioids and received them for longer before discharge. Future studies are warranted to determine if altering postoperative pain monitoring and management improve postoperative course of patients at risk of moderate or poor pain resolution.

Early Postoperative Pain Trajectories after Posterolateral and Axillary Approaches to Thoracic Surgery: A Prospective Monocentric Observational Study.

Less-invasive thoracotomies may reduce early postoperative pain. The aims of this study were to identify pain trajectories from postoperative days 0–5 after posterolateral and axillary thoracotomies and to identify potential factors related to the worst trajectory. Patients undergoing a posterolateral (92 patients) or axillary (89 patients) thoracotomy between July 2014 and November 2015 were analyzed in this prospective monocentric cohort study. The best-fitting model resulted in four pain trajectory groups: trajectory 1, the “worst”, with 29.8% of the patients with permanent significant pain; trajectory 2 with patients with low pain (32.6%); trajectory 3 with patients with a steep decrease in pain (22.7%); and trajectory 4 with patients with a steep increase (14.9%). According to a multinomial logistic model multivariable analysis, some predictive factors allow for differentiation between trajectory groups 1 and 2. Risk factors for permanent pain are the existence of preoperative pain (OR = 6.94, CI 95% (1.54–31.27)) and scar length (OR = 1.20 (1.05–1.38)). In contrast, ASA class III is a protective factor in group 1 (OR = 0.02 (0.001–0.52)). In conclusion, early postoperative pain can be characterized by four trajectories and preoperative pain is a major factor for the worst trajectory of early postoperative pain.

Group-based trajectory analysis of acute pain after spine surgery and risk factors for rebound pain.

BackgroundThis retrospective study was designed to explore the types of postoperative pain trajectories and their associated factors after spine surgery.Materials and methodsThis study was conducted in a single medical center, and patients undergoing spine surgery with intravenous patient-controlled analgesia (IVPCA) for postoperative pain control between 2016 and 2018 were included in the analysis. Maximal pain scores were recorded daily in the first postoperative week, and group-based trajectory analysis was used to classify the variations in pain intensity over time and investigate predictors of rebound pain after the end of IVPCA. The relationships between the postoperative pain trajectories and the amount of morphine consumption or length of hospital stay (LOS) after surgery were also evaluated.ResultsA total of 3761 pain scores among 547 patients were included in the analyses and two major patterns of postoperative pain trajectories were identified: Group 1 with mild pain trajectory (87.39%) and Group 2 with rebound pain trajectory (12.61%). The identified risk factors of the rebound pain trajectory were age less than 65 years (odds ratio [OR]: 1.89; 95% CI: 1.12–3.20), female sex (OR: 2.28; 95% CI: 1.24–4.19), and moderate to severe pain noted immediately after surgery (OR: 3.44; 95% CI: 1.65–7.15). Group 2 also tended to have more morphine consumption (p < 0.001) and a longer length of hospital stay (p < 0.001) than Group 1.ConclusionThe group-based trajectory analysis of postoperative pain provides insight into the patterns of pain resolution and helps to identify unusual courses. More aggressive pain management should be considered in patients with a higher risk for rebound pain after the end of IVPCA for spine surgery.

Influential Factors and Personalized Prediction Model of Acute Pain Trajectories after Surgery for Renal Cell Carcinoma.

Background: Renal cell carcinoma (RCC) is the most common neoplasm in kidneys, and surgical resection remains the mainstay treatment. Few studies have investigated how the postoperative pain changes over time and what has affected its trajectory. This study aimed to characterize the variations in postoperative pain over time and investigate associated factors after RCC surgery. Methods: This retrospective study was conducted in a single medical center in Taiwan, where maximal pain scores in a numeric rating scale were recorded daily in the first five postoperative days (PODs) after RCC surgery. Latent curve models were developed, using two latent variables, intercept and slope, which represented the baseline pain and rate of pain resolution. These models explain the variations in postoperative pain scores over time. A predictive model for postoperative pain trajectories was also constructed. Results: There were 861 patients with 3850 pain observations included in the analysis. Latent curve analysis identified that female patients and those with advanced cancer (stage III and IV) tended to have increased baseline pain scores (p = 0.028 and 0.012, respectively). Furthermore, patients over 60 years, without PCA use (both p < 0.001), and with more surgical blood loss (p = 0.001) tended to have slower pain resolution. The final predictive model fit the collected data acceptably (RMSEA = 0.06, CFI = 0.95). Conclusion: Latent curve analysis identified influential factors of acute pain trajectories after RCC surgery. This study may also help elucidate the complex relationships between the variations in pain intensity over time and their determinants, and guide personalized pain management after surgery for RCC.

Group-based trajectory analysis of postoperative pain in epidural analgesia for video-assisted thoracoscopic surgery and risk factors of rebound pain.

The current study aimed to investigate the patterns of postoperative pain trajectories over time and their associated risk factors in patients receiving video-assisted thoracoscopic surgery (VATS) and epidural analgesia (EA) for non-small cell lung cancer (NSCLC). This retrospective study was conducted at a tertiary medical center and included patients undergoing VATS for stage I NSCLC between 2011 and 2015. Maximal pain intensity was recorded daily during the first postoperative week. Group-based trajectory analysis was performed to categorize variations in pain scores over time. Associations between pain trajectory classification and amount of EA administered and length of hospital stay (LOS) after surgery were also evaluated. A total of 635 patients with 4647 pain scores were included in the analysis, and 2 postoperative pain trajectory groups were identified: group 1, mild pain trajectory (78%); and group 2, rebound pain trajectory (22%). Risk factors for rebound pain trajectory were a surgical time longer than 3 hours (odds ratio [OR], 1.97; 95% CI, 1.27-3.07), female sex (OR, 1.62; 95% CI, 1.04-2.53), and higher pain score on postoperative day 0 (OR, 1.21; 95% CI, 1.08-1.36; linear effect). Although group 2 had a longer LOS (p < 0.001), they did not receive more EA than group 1 (p = 0.805). Surgical time, sex, and pain intensity after surgery were major determinants of rebound pain trajectory, and more aggressive pain control strategies should be considered in high-risk patients.

Associations of Multimodal Analgesia With Postoperative Pain Trajectories and Morphine Consumption After Hepatic Cancer Surgery.

BackgroundThis study aimed to investigate the influential factors of postoperative pain trajectories and morphine consumption after hepatic cancer surgery with a particular interest in multimodal analgesia.MethodsPatients receiving hepatic cancer surgery at a tertiary medical center were enrolled between 2011 and 2016. Postoperative pain scores and potentially influential factors like patient characteristics and the analgesic used were collected. Latent curve analysis was conducted to investigate predictors of postoperative pain trajectories and a linear regression model was used to explore factors associated with postoperative morphine consumption.Results450 patients were collected, the daily pain scores during the first postoperative week ranged from 2.0 to 3.0 on average. Male and higher body weight were associated with more morphine consumption (both P < 0.001) but reduced morphine demand was noted in the elderly (P < 0.001) and standing acetaminophen users (P = 0.003). Longer anesthesia time was associated with higher baseline pain levels (P < 0.001). In contrast, male gender (P < 0.001) and standing non-steroidal anti-inflammatory drugs (NSAIDs) use (P = 0.012) were associated with faster pain resolution over time.ConclusionsMultimodal analgesia with standing acetaminophen and NSAIDs had benefits of opioid-sparing and faster pain resolution, respectively, to patients receiving hepatic cancer surgery.

Preclinical postoperative pain trajectories: impact of experimental predictors on recovery

This study examined the contribution of experimental predictors to aspects of postoperative pain trajectories in rats following surgery. We conducted Linear Mixed Effects (LME) growth curve modeling of longitudinal mechanical paw withdrawal thresholds (PWTs) in 164 Sprague Dawley rats from 7 independent cohorts that underwent partial L5 spinal nerve ligation. The dependent variable of LME was the PWTs response value in log-transformed form and the fixed effects included baseline PWTs, interested internal factors and linear time as a continuous variable, while setting subject IDs as random intercepts and linear time as random slopes. Mechanical PWTs increased over 10 weeks in a curvilinear fashion for the entire group of rats with significant inter-individual variability in intercept or initial hypersensitivity and slope of recovery. We examined the influence of several internal experimental predictors including surgeon, preoperative stress exposure, daily running wheel exposure, age at time of surgery and housing facility to model fit and trajectory parameters using both univariate and multivariate LME models. We found that surgeon (p

Evaluating the association of preoperative parecoxib with acute pain trajectories after video-assisted thoracoscopic surgery: a single-centre cohort study in Taiwan

ObjectiveThe efficacy of parecoxib as pre-emptive analgesia still remains controversial. This study aimed to investigate how pre-emptive analgesia with parecoxib affected postoperative pain trajectories over time in patients undergoing thoracic...

Personalization over Protocolization.

Personalization over Protocolization.

Patient and Procedural Determinants of Postoperative Pain Trajectories.

The primary goal of this study was to evaluate patterns in acute postoperative pain in a mixed surgical patient cohort with the hypothesis that there would be heterogeneity in these patterns. This study included 360 patients from a mixed surgical cohort whose pain was measured across postoperative days 1 through 7. Pain was characterized using the Brief Pain Inventory. Primary analysis used group-based trajectory modeling to estimate trajectories/patterns of postoperative pain. Secondary analysis examined associations between sociodemographic, clinical, and behavioral patient factors and pain trajectories. Five distinct postoperative pain trajectories were identified. Many patients (167 of 360, 46%) were in the moderate-to-high pain group, followed by the moderate-to-low (88 of 360, 24%), high (58 of 360, 17%), low (25 of 360, 7%), and decreasing (21 of 360, 6%) pain groups. Lower age (odds ratio, 0.94; 95% CI, 0.91 to 0.99), female sex (odds ratio, 6.5; 95% CI, 1.49 to 15.6), higher anxiety (odds ratio, 1.08; 95% CI, 1.01 to 1.14), and more pain behaviors (odds ratio, 1.10; 95% CI, 1.02 to 1.18) were related to increased likelihood of being in the high pain trajectory in multivariable analysis. Preoperative and intraoperative opioids were not associated with postoperative pain trajectories. Pain trajectory group was, however, associated with postoperative opioid use (P < 0.001), with the high pain group (249.5 oral morphine milligram equivalents) requiring four times more opioids than the low pain group (60.0 oral morphine milligram equivalents). There are multiple distinct acute postoperative pain intensity trajectories, with 63% of patients reporting stable and sustained high or moderate-to-high pain over the first 7 days after surgery. These postoperative pain trajectories were predominantly defined by patient factors and not surgical factors.

Characterisation of pragmatic postoperative PAin Trajectories over seven days and their association with CHronicity after 3 months: a prospective, pilot cohort study (PATCH study)

BackgroundReliable outcome measurement providing information both on early and late postoperative pain outcomes are still lacking. The purpose of this study was: 1) to characterise postoperative pain trajectories according to an innovative pragmatic concept: ideal pain trajectory (rapid and sustained pain relief) vs non-ideal pain trajectories (late, transient, or no pain relief); and 2) to assess the incidence of persistent post-surgical pain (PPSP) and the potential association between non-ideal pain trajectories and PPSP. MethodsThis prospective observational pilot cohort study was performed from March until June 2016. A total of 344 patients undergoing major general surgery were invited to complete a self-assessment of pain intensity using numerical rating scale (NRS; 0 = no pain to 10 = worst pain) from day 1 until day 7 after surgery, in order to establish their pain trajectory. Three months after surgery, patients were screened for PPSP. ResultsRest pain score was analysed in 308 participants. Among them, 210 (68% - 95% CI: 63–73) had an “ideal” pain trajectory, while 98 (32% - 95% CI: 27–37) had “non-ideal” pain trajectories. Three months after surgery, 31% (95% CI: 26–37) reported PPSP. Multivariable analysis showed that “non-ideal” pain trajectories [OR 2.25; (95% CI: 1.26–4.01) P = 0.006] were significantly associated with PPSP. ConclusionsThe present study proposes an innovative pragmatic concept of postoperative pain trajectories: ideal vs non-ideal pain trajectories, providing information both on acute postoperative pain resolution and early identification patients at risk for developing PPSP. Trial registrationNCT02599233; November, 6, 2015, with clinicaltrials.gov.

Increased Use of Intra-Articular Steroid Injection to Treat Osteoarthritis is Associated With Chronic Opioid Dependence After Later Total Knee Arthroplasty But Not Total Hip Arthroplasty

BackgroundIntra-articular (IA) injections of corticosteroid (CO) and hyaluronic acid (HA) are commonly used for osteoarthritis. The efficacy of these interventions is controversial. Furthermore, research regarding the potential association of IA injection with later postoperative pain trajectories is lacking. MethodsWe performed analysis on Truven Health MarketScan database (2012-2016) in total hip arthroplasty (THA) and total knee arthroplasty (TKA). Trends over time were assessed. Multivariable logistic regression analyses were executed to evaluate the impact of IA injections on postoperative chronic opioid use. ResultsPreoperative CO and HA injections decreased throughout the study period in both THA and TKA. Preoperative CO and HA injections, regardless of frequency, had no significant impact on the odds of THA patients becoming chronic opioid users postoperatively. TKA patients who had 1 CO injection in the year before surgery experienced lower odds of postoperative chronic opioid use (odds ratio [OR], 0.89; 95% confidence interval [95% CI], 0.82-0.97), whereas patients who had 2 or more CO injections experienced significantly greater odds (OR, 1.14; 95% CI, 1.04-1.24). TKA patients who received 2 or more HA injections before surgery had significantly lower odds of chronic opioid use (OR, 0.90; 95% CI, 0.81-0.99). ConclusionThe utilization of IA injections in patients with hip and knee osteoarthritis appears to be decreasing over time. TKA patients who received 2 or more preoperative CO injections experienced greater odds of chronic opioid utilization, whereas TKA patients with 2 or more HA injections in the year before surgery had decreased odds of chronic opioid use.

Predicting Acute Postoperative Pain Trajectories and Long-Term Outcomes of Adolescents after Spinal Fusion Surgery.

Objectives Acute pain trajectories are associated with long-term outcomes such as persistent pain and functional disability in adults. However, there are limited data on acute postoperative pain trajectories in the pediatric population. The aims of this study were to investigate acute postoperative pain trajectories, their predictors, and their impact on long- term outcomes in adolescents with idiopathic scoliosis. Methods We evaluated the preoperative pain intensity, use of analgesics, psychosocial measures and physical functioning of adolescents scheduled to undergo spinal fusion, and their average 6-hour self-reported pain intensity scores for their entire hospital stay. Six months after surgery, baseline variables were reassessed. We used growth mixture modeling to conduct acute postoperative pain trajectory analysis and to identify predictors of pain trajectories. Generalized linear models were conducted to determine whether acute pain trajectories predict long-term outcomes. Results One hundred and six patients were included in the best-fitted acute pain trajectory model that included four classes that differed in initial pain intensity and rates of change over time. Preoperative pain catastrophizer status and use of analgesics significantly predicted pain trajectory membership. Furthermore, at the 6-month follow-up, patients experiencing moderate-to-severe pain in the acute postoperative period were more likely to report higher levels of pain severity, use pain medication, and miss a greater number of school/work days due to back pain in the last three months. Discussion. Preoperative assessment and analyzing the progression of pain in the acute postoperative period can help identify those at risk of negative long-term outcomes after surgery.