Sedentary Behavior and Pain after Physical Activity in Women with Fibromyalgia-The Influence of Pain-Avoidance Goals and Catastrophizing

Risk factors and predictive model for acute postoperative pain after hip and knee arthroplasty

BACKGROUND

This study aims to identify key factors influencing acute postoperative pain (APP) following hip and knee arthroplasty, and to develop a predictive model to optimize pain management.

METHODS

The study included 492 patients who underwent hip or knee replacement surgery at our institution from July 2021 to July 2024. Preoperative, intraoperative, and postoperative data were collected. Least Absolute Shrinkage and Selection Operator regression and multivariate logistic regression analyses were utilized to identify factors significantly associated with the occurrence of APP.

RESULTS

The findings indicated that factors such as body mass index, diabetes, history of long-term use of analgesics, preoperative Visual Analogue Scale scores, Pain Catastrophizing Scale scores, duration of surgery, and intraoperative blood loss were closely linked to the occurrence of APP. Additionally, the preoperative use of prophylactic analgesics, postoperative use of analgesic pumps, and implementation of nerve blocks significantly reduced the risk of APP.

CONCLUSION

This study identified several factors closely related to APP after hip and knee arthroplasty and provided a basis for postoperative pain management through the developed predictive model. The research underscores the importance of comprehensive preoperative assessment and the implementation of targeted pain prevention measures. Future studies are recommended to expand the sample size and include multiple centers to enhance the generalizability and practicality of these findings.

Pain Sensitivity and Acute Postoperative Pain in Patients Undergoing Abdominal Surgery: The Mediating Roles of Pain Self-Efficacy and Pain Catastrophizing

BACKGROUND

Inadequately managed postoperative pain remains a common issue. Examining factors like pain sensitivity, pain catastrophizing, and pain self-efficacy can help improve postoperative pain management. While these factors have been identified as potential predictors of acute postoperative pain, their effects have been inconsistent. Few studies have explored the interactions between these factors.

AIM

To investigate the influence of preoperative pain sensitivity, pain catastrophizing, and pain self-efficacy on acute postoperative pain in abdominal surgery patients and to determine the mediating roles of pain catastrophizing and pain self-efficacy in the relationship between pain sensitivity and acute postoperative pain, as per the gate control theory.

METHODS

A total of 246 patients were enrolled in this study. General information was collected before surgery, and the Pain Sensitivity Questionnaire (PSQ), Pain Catastrophizing Scale (PCS), and Pain Self-Efficacy Questionnaire (PSEQ) were administered. After surgery, patients' average pain scores over the 24 hours were reported using the Numerical Rating Scale (NRS). Correlation analyses and a structural equation model were used to examine the relationships among these variables.

RESULTS

NRS scores over 3 during the 24 hours post-surgery were reported by 21.54% of patients. Postoperative acute pain was found to be associated with pain sensitivity (rs = 0.463, p < .001), pain catastrophizing (rs = 0.328, p < .001), and pain self-efficacy (rs = -0.558, p < .001). A direct effect on postoperative acute pain was exerted by pain sensitivity (effect = 0.250, p = .001), along with indirect effects through: (A) pain catastrophizing (effect = 0.028, p = .001); (B) pain self-efficacy (effect = 0.132, p = .001); and (C) the chain mediation of pain self-efficacy and pain catastrophizing (effect = 0.021, p = .008).

CONCLUSIONS

The severity of postoperative acute pain can be predicted by pain self-efficacy and pain catastrophizing, and the connection between moderate pain sensitivity and postoperative acute pain severity is mediated by them. Therefore, intervention programs aimed at boosting pain self-efficacy and reducing pain catastrophizing can enhance postoperative pain outcomes for abdominal surgery patients.

Breaking Barriers: Artificial Intelligence Interpreting the Interplay between Mental Illness and Pain as Defined by the International Association for the Study of Pain

Low back pain is one of the main causes of motor disabilities and psychological stress, with the painful process encompassing sensory and affective components. Noxious stimuli originate on the periphery; however, the stimuli are recombined in the brain and therefore processed differently due to the emotional environment. To better understand this process, our objective was to develop a mathematical representation of the International Association for the Study of Pain (IASP) model of pain, covering the multidimensional representation of this phenomenon. Data from the Oswestry disability index; the short form of the depression, anxiety, and stress scale; and pain catastrophizing daily questionnaires were collected through online completion, available from 8 June 2022, to 8 April 2023 (1021 cases). Using the information collected, an artificial neural network structure was trained (based on anomaly detection methods) to identify the patterns that emerge from the relationship between the variables. The developed model proved to be robust and able to show the patterns and the relationship between the variables, and it allowed for differentiating the groups with altered patterns in the context of low back pain. The distinct groups all behave according to the main finding that psychological and pain events are directly associated. We conclude that our proposal is effective as it is able to test and confirm the definition of the IASP for the study of pain. Here we show that the fiscal and mental dimensions of pain are directly associated, meaning that mental illness can be an enhancer of pain episodes and functionality.