26
views
0
recommends
+1 Recommend
1 collections
    0
    shares

      Journal of Pain Research (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on reporting of high-quality laboratory and clinical findings in all fields of pain research and the prevention and management of pain. Sign up for email alerts here.

      52,235 Monthly downloads/views I 2.832 Impact Factor I 4.5 CiteScore I 1.2 Source Normalized Impact per Paper (SNIP) I 0.655 Scimago Journal & Country Rank (SJR)

      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Classification of acute pain trajectory after breast cancer surgery identifies patients at risk for persistent pain: a prospective observational study

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Purpose

          Predictive value and accuracy of the acute pain trajectory were compared with those of pain intensity at 1 day after the surgery for pain prevalence at 6 months after the surgery.

          Materials and methods

          Female patients scheduled for breast cancer surgery were eligible for this study. Patients were questioned about pain intensity daily during the 7 days after surgery. Presence of pain, its location, and intensity as well as the Japanese version of the quality of the recovery-40 (QOR-40) were determined in an interview prior to and at 6 months after the surgery. Acute pain trajectory was determined by a group-based trajectory modeling analysis that was based on the pain intensity at 1–7 days after surgery. Predictive value of the acute pain trajectory for the presence of pain at 6 months after the surgery was assessed by a logistic regression model. The predictive value was compared with pain intensity at 1 day after the surgery.

          Results

          A total of 123 participants completed the 6-month follow-up. The three-cluster model (mild, moderate, and severe pain) was considered to be the most statistically appropriate model for the acute pain trajectory. After 6 months, 51.2% and 8.9% of participants reported pain and severe pain, respectively. Presence of pain at 6 months after the surgery was associated with poor recovery. The severe pain cluster was significantly associated with the presence of pain at 6 months after the surgery (adjusted odds ratio, 9.40; P<0.001 vs mild pain cluster).

          Conclusion

          Classification of patients according to the acute pain trajectory, when compared with the classification according to pain intensity at 1 day after the surgery, made it possible to predict with better precision those patients who will develop persistent postsurgical pain.

          Most cited references31

          • Record: found
          • Abstract: found
          • Article: not found

          Predictors of postoperative pain and analgesic consumption: a qualitative systematic review.

          Pain is a subjective and multidimensional experience that is often inadequately managed in clinical practice. Effective control of postoperative pain is important after anesthesia and surgery. A systematic review was conducted to identify the independent predictive factors for postoperative pain and analgesic consumption. The authors identified 48 eligible studies with 23,037 patients included in the final analysis. Preoperative pain, anxiety, age, and type of surgery were four significant predictors for postoperative pain. Type of surgery, age, and psychological distress were the significant predictors for analgesic consumption. Gender was not found to be a consistent predictor as traditionally believed. Early identification of the predictors in patients at risk of postoperative pain will allow more effective intervention and better management. The coefficient of determination of the predictive models was less than 54%. More vigorous studies with robust statistics and validated designs are needed to investigate this field of interest.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Risk factors for chronic pain following breast cancer surgery: a prospective study.

            Chronic pain following breast cancer surgery is associated with decreased health-related quality of life and is a source of additional psychosocial distress in women who are already confronting the multiple stresses of cancer. Few prospective studies have identified risk factors for chronic pain following breast cancer surgery. Putative demographic, clinical, and psychosocial risk factors for chronic pain were evaluated prospectively in 95 women scheduled for breast cancer surgery. In a multivariate analysis of the presence of chronic pain, only younger age was associated with a significantly increased risk of developing chronic pain 3 months after surgery. In an analysis of the intensity of chronic pain, however, more invasive surgery, radiation therapy after surgery, and clinically meaningful acute postoperative pain each independently predicted more intense chronic pain 3 months after surgery. Preoperative emotional functioning variables did not independently contribute to the prediction of either the presence or the intensity of chronic pain after breast cancer surgery. These findings not only increase understanding of risk factors for chronic pain following breast cancer surgery and the processes that may contribute to its development but also provide a basis for the development of preventive interventions. Clinical variables and severe acute pain were risk factors for chronic pain following breast cancer surgery, but psychosocial distress was not, which provides a basis for hypothesizing that aggressive management of acute postoperative pain may reduce chronic pain.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Acute pain after thoracic surgery predicts long-term post-thoracotomy pain.

              Long-term pain is a common sequela of thoracotomy, occurring in approximately 50% of patients 2 years after thoracic surgery. Despite this alarming statistic, little is known about the factors responsible for the transition of acute to chronic pain. The aim of the present study is to identify predictors of long-term post-thoracotomy pain. Follow-up was for 1.5 years for patients who had participated in a prospective, randomized, controlled trial of preemptive, multimodal analgesia. Subjects were recruited from a tertiary care center. Thirty patients who had undergone lateral thoracotomy were followed up by telephone, administered a structured interview, and classified according to long-term pain status. Present pain status was measured by a verbal rating scale (VAS). Measures obtained within the first 48 h after surgery were compared between patients with and without pain 1.5 years later. These include VAS pain scores at rest and after movement, McGill Pain Questionnaire data, patient-controlled morphine consumption (mg), and pain thresholds to pressure applied to a rib contralateral to the thoracotomy incision. Fifty-two percent of patients reported long-term pain. Early postoperative pain was the only factor that significantly predicted long-term pain. Pain intensity 24 h after surgery, at rest, and after movement was significantly greater among patients who developed long-term pain compared with pain-free patients. A significant predictive relationship was also found at 24 and 48 h using the McGill Pain Questionnaire. Cumulative morphine was comparable for the two groups. Pain thresholds to pressure applied to a rib contralateral to the incision did not differ significantly between the groups. Aggressive management of early postoperative pain may reduce the likelihood of long-term post-thoracotomy pain.
                Bookmark

                Author and article information

                Journal
                J Pain Res
                J Pain Res
                Journal of Pain Research
                Journal of Pain Research
                Dove Medical Press
                1178-7090
                2018
                05 October 2018
                : 11
                : 2197-2206
                Affiliations
                [1 ]Department of Endocrinological and Breast Surgery
                [2 ]Department of Pain Management and Palliative Care Medicine
                [3 ]Department of Anesthesiology, ama@ 123456koto.kpu-m.ac.jp
                [4 ]Department of Biostatistics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
                Author notes
                Correspondence: Fumimasa Amaya, Department of Anesthesiology, Kyoto Prefectural University of Medicine, Kajii-cho 465 Kamigyo-ku, Kyoto 6028566, Japan, Tel +81 75 251 5633, Fax +81 75 251 5843, Email ama@ 123456koto.kpu-m.ac.jp
                Article
                jpr-11-2197
                10.2147/JPR.S171680
                6179582
                30323654
                8e723ae8-6eed-46c7-9d10-76db172cc9a9
                © 2018 Okamoto et al. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

                History
                Categories
                Original Research

                Anesthesiology & Pain management
                group-based trajectory analysis,acute postsurgical pain,chronic postsurgical pain,quality of recovery,breast cancer surgery

                Comments

                Comment on this article