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Prognostics for pain in osteoarthritis: Do clinical measures predict pain after total joint replacement?


Autoři: Joana Barroso aff001;  Kenta Wakaizumi aff002;  Diane Reckziegel aff003;  João Pinto-Ramos aff005;  Thomas Schnitzer aff002;  Vasco Galhardo aff001;  A. Vania Apkarian aff002
Působiště autorů: Departamento de Biomedicina, Faculdade de Medicina, Universidade do Porto, Porto, Portugal; Instituto de Investigação e Inovação em Saúde—i3S, Universidade do Porto, Porto, Portugal aff001;  Department of Physical Medicine and Rehabilitation, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States of America aff002;  Department of Physiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States of America aff003;  Shirley Ryan AbilityLab, Chicago, IL, United States of America aff004;  Departamento de Medicina Física e de Reabilitação, Centro Hospitalar e Universitário de São João, Porto, Portugal aff005;  Department of Rheumatology, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States of America aff006
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0222370

Souhrn

A significant proportion of osteoarthritis (OA) patients continue to experience moderate to severe pain after total joint replacement (TJR). Preoperative factors related to pain persistence are mainly studied using individual predictor variables and distinct pain outcomes, thus leading to a lack of consensus regarding the influence of preoperative parameters on post-TJR pain. In this prospective observational study, we evaluated knee and hip OA patients before, 3 and 6 months post-TJR searching for clinical predictors of pain persistence. We assessed multiple measures of quality, mood, affect, health and quality of life, together with radiographic evaluation and performance-based tasks, modeling four distinct pain outcomes. Multivariate regression models and network analysis were applied to pain related biopsychosocial measures and their changes with surgery. A total of 106 patients completed the study. Pre-surgical pain levels were not related to post-surgical residual pain. Although distinct pain scales were associated with different aspects of post-surgical pain, multi-factorial models did not reliably predict post-surgical pain in knee OA (across four distinct pain scales) and did not generalize to hip OA. However, network analysis showed significant changes in biopsychosocial-defined OA personality post-surgery, in both groups. Our results show that although tested clinical and biopsychosocial variables reorganize after TJR in OA, their presurgical values are not predictive of post-surgery pain. Derivation of prognostic markers for pain persistence after TJR will require more comprehensive understanding of underlying mechanisms.

Klíčová slova:

Surgical and invasive medical procedures – Hip – Questionnaires – Osteoarthritis – Knees – Pain sensation – Neuropathic pain – Principal component analysis


Zdroje

1. Neogi T. The epidemiology and impact of pain in osteoarthritis. Osteoarthritis Cartilage, 2013. 21(9): p. 1145–53. doi: 10.1016/j.joca.2013.03.018 23973124

2. Finan PH, Buenaver LF, Bounds SC, Hussain S, Park RJ, Haque UJ, et al. Discordance between pain and radiographic severity in knee osteoarthritis: findings from quantitative sensory testing of central sensitization. Arthritis Rheum, 2013. 65(2): p. 363–72. doi: 10.1002/art.34646 22961435

3. Bachmeier CJ, March LM, Cross MJ, Lapsley HM, Tribe KL, Courtenay BG, et al. A comparison of outcomes in osteoarthritis patients undergoing total hip and knee replacement surgery. Osteoarthritis Cartilage, 2001. 9(2): p. 137–46. doi: 10.1053/joca.2000.0369 11330253

4. Beswick AD, Wylde V, Gooberman-Hill R, Blom A, Dieppe P. What proportion of patients report long-term pain after total hip or knee replacement for osteoarthritis? A systematic review of prospective studies in unselected patients. BMJ Open, 2012. 2(1): p. e000435. doi: 10.1136/bmjopen-2011-000435 22357571

5. Werner MU, Kongsgaard UE. Defining persistent post-surgical pain: is an update required? Br J Anaesth, 2014. 113(1): p. 1–4. doi: 10.1093/bja/aeu012 24554546

6. Erlenwei J, Muller M, Falla D, Przemeck M, Pfingsten M, Budde S, et al. Clinical relevance of persistent postoperative pain after total hip replacement—a prospective observational cohort study. J Pain Res, 2017. 10: p. 2183–2193. doi: 10.2147/JPR.S137892 28919814

7. Lewis GN, Rice DA, McNair PJ, Kluger M. Predictors of persistent pain after total knee arthroplasty: a systematic review and meta-analysis. Br J Anaesth, 2015. 114(4): p. 551–61. doi: 10.1093/bja/aeu441 25542191

8. Singh JA, Gabriel S, Lewallen D. The impact of gender, age, and preoperative pain severity of pain after TKA. Clin Orthop Relat Res, 2008. 466(11): p. 2717–23. doi: 10.1007/s11999-008-0399-9 18679762

9. Hochman JR, Gagliese L, Davis AM, Hawker GA. Neuropathic pain symptoms in a community knee OA cohort. Osteoarthritis Cartilage, 2011. 19(6): p. 647–54. doi: 10.1016/j.joca.2011.03.007 21440077

10. Forsythe ME, Dunbar MJ, Hennigar AW, Sullivan MJ, Gross M. Prospective relation between catastrophizing and residual pain following knee arthroplasty: two-year follow-up. Pain Res Manag, 2008. 13(4): p. 335–41. doi: 10.1155/2008/730951 18719716

11. Baert IA, Lluch E, Mulder T, Nijs J, Noten S, Meeus M. Does pre-surgical central modulation of pain influence outcome after total knee replacement? A systematic review. Osteoarthritis Cartilage, 2016. 24(2): p. 213–23. doi: 10.1016/j.joca.2015.09.002 26382109

12. Harmelink KEM, Zeegers AVCM, Hullegie W, Hoogeboom TJ, Nijhuis-van der Sanden MWG, Staal JB. Are There Prognostic Factors for One-Year Outcome After Total Knee Arthroplasty? A Systematic Review. J Arthroplasty, 2017. 32(12): p. 3840–3853 e1. doi: 10.1016/j.arth.2017.07.011 28927646

13. Harden RN, Weinland SR, Remble TA, Houle TT, Colio S, Steedman S, et al. Medication Quantification Scale Version III: update in medication classes and revised detriment weights by survey of American Pain Society Physicians. J Pain, 2005. 6(6): p. 364–71. doi: 10.1016/j.jpain.2005.01.350 15943958

14. Podsiadlo D, Richardson S. The timed "Up & Go": a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc, 1991. 39(2): p. 142–8. doi: 10.1111/j.1532-5415.1991.tb01616.x 1991946

15. Balke B. A Simple Field Test for the Assessment of Physical Fitness. Rep 63–6. Rep Civ Aeromed Res Inst US, 1963: p. 1–8. 14131272

16. Rejeski WJ, Ettinger WH Jr., Schumaker S, James P, Burns R, Elam JT. Assessing performance-related disability in patients with knee osteoarthritis. Osteoarthritis Cartilage, 1995. 3(3): p. 157–67. doi: 10.1016/s1063-4584(05)80050-0 8581745

17. Kennedy DM, Stratford PW, Wessel J, Gollish JD, Penney D. Assessing stability and change of four performance measures: a longitudinal study evaluating outcome following total hip and knee arthroplasty. BMC Musculoskelet Disord, 2005. 6: p. 3. doi: 10.1186/1471-2474-6-3 15679884

18. Dobson F, Hinman RS, Roos EM, Abbott JH, Stratford P, Davis AM, et al. OARSI recommended performance-based tests to assess physical function in people diagnosed with hip or knee osteoarthritis. Osteoarthritis Cartilage, 2013. 21(8): p. 1042–52. doi: 10.1016/j.joca.2013.05.002 23680877

19. Kellgren JH, Lawrence JS. Radiological assessment of osteo-arthrosis. Ann Rheum Dis, 1957. 16(4): p. 494–502. doi: 10.1136/ard.16.4.494 13498604

20. Roos EM, Toksvig-Larsen S. Knee injury and Osteoarthritis Outcome Score (KOOS)–validation and comparison to the WOMAC in total knee replacement. Health Qual Life Outcomes, 2003. 1: p. 17. doi: 10.1186/1477-7525-1-17 12801417

21. Goncalves RS, Cabri J, Pinheiro JP, Ferreira PL. Cross-cultural adaptation and validation of the Portuguese version of the Knee injury and Osteoarthritis Outcome Score (KOOS). Osteoarthritis Cartilage, 2009. 17(9): p. 1156–62. doi: 10.1016/j.joca.2009.01.009 19303082

22. Nilsdotter AK, Lohmander LS, Klassbo M, Roos EM. Hip disability and osteoarthritis outcome score (HOOS)—validity and responsiveness in total hip replacement. BMC Musculoskelet Disord, 2003. 4: p. 10. doi: 10.1186/1471-2474-4-10 12777182

23. Keller S, Bann CM, Dodd SL, Schein J, Mendoza TR, Cleeland CS. Validity of the brief pain inventory for use in documenting the outcomes of patients with noncancer pain. Clin J Pain, 2004. 20(5): p. 309–18. doi: 10.1097/00002508-200409000-00005 15322437

24. Daut RL, Cleeland CS, Flanery RC. Development of the Wisconsin Brief Pain Questionnaire to assess pain in cancer and other diseases. Pain, 1983. 17(2): p. 197–210. doi: 10.1016/0304-3959(83)90143-4 6646795

25. Azevedo L, Costa Pereira A, Dias C, Agualusa L, Lemos L, Romão J, et al. Tradução, adaptação cultural e estudo multicêntrico de validação de instrumentos para rastreio e avaliação do impacto da dor crónica (Translation, cultural adaptation and multicentric validation study of chronic pain screening and impact assessment instruments. Dor, 2007. 15: p. 6–65.

26. Melzack R. The McGill Pain Questionnaire: major properties and scoring methods. Pain, 1975. 1(3): p. 277–99. doi: 10.1016/0304-3959(75)90044-5 1235985

27. Byrne M, Troy A, Bradley LA, Marchisello PJ, Geisinger KF, Van der Heide LH, et al. Cross validation of the factor structure of the McGill Pain Questionnaire. Pain, 1982. 13(2): p. 193–201. doi: 10.1016/0304-3959(82)90029-x 6214754

28. Bouhassira D, Attal N, Alchaar H, Boureau F, Brochet B, Bruxelle J, et al.Comparison of pain syndromes associated with nervous or somatic lesions and development of a new neuropathic pain diagnostic questionnaire (DN4). Pain, 2005. 114(1–2): p. 29–36. doi: 10.1016/j.pain.2004.12.010 15733628

29. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand, 1983. 67(6): p. 361–70. doi: 10.1111/j.1600-0447.1983.tb09716.x 6880820

30. Pais-Ribeiro J Silva I, Ferreira T, Martins A, Meneses R, Baltar M. Validation study of a Portuguese version of the Hospital Anxiety and Depression Scale. Psychol Health Med, 2007. 12(2): p. 225–35; quiz 235–7. doi: 10.1080/13548500500524088 17365902

31. Sullivan MJL, Bishop SR, Pivik J. The Pain Catastrophizing Scale: Development and validation. Psychological Assessment, 1995. 7: p. 524–532.

32. McHorney CA, Ware JE Jr., Raczek AE. The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Med Care, 1993. 31(3): p. 247–63.

33. Ferreira PL. Development of the Portuguese version of MOS SF-36. Part I. Cultural and linguistic adaptation. Acta Med Port, 2000. 13(1–2): p. 55–66. 11059056

34. Rubinov M, Sporns O. Complex network measures of brain connectivity: uses and interpretations. Neuroimage, 2010. 52(3): p. 1059–69. doi: 10.1016/j.neuroimage.2009.10.003 19819337

35. Kim DH, Pearson-Chauhan KM, McCarthy RJ, Buvanendran A. Predictive Factors for Developing Chronic Pain After Total Knee Arthroplasty. J Arthroplasty, 2018. 33(11): p. 3372–3378. doi: 10.1016/j.arth.2018.07.028 30143334

36. Creamer P, Lethbridge-Cejku M, Hochberg MC. Determinants of pain severity in knee osteoarthritis: effect of demographic and psychosocial variables using 3 pain measures. J Rheumatol, 1999. 26(8): p. 1785–92. 10451078

37. Wylde V, Dixon S, Blom AW. The role of preoperative self-efficacy in predicting outcome after total knee replacement. Musculoskeletal Care, 2012. 10(2): p. 110–8. doi: 10.1002/msc.1008 22368121

38. Pinto PR, McIntyre T, Ferrero R, Almeida A, Araujo-Soares V. Risk factors for moderate and severe persistent pain in patients undergoing total knee and hip arthroplasty: a prospective predictive study. PLoS One, 2013. 8(9): p. e73917. doi: 10.1371/journal.pone.0073917 24058502

39. Valdes AM, Doherty SA, Zhang W, Muir KR, Maciewicz RA, Doherty M. Inverse relationship between preoperative radiographic severity and postoperative pain in patients with osteoarthritis who have undergone total joint arthroplasty. Semin Arthritis Rheum, 2012. 41(4): p. 568–75. doi: 10.1016/j.semarthrit.2011.07.002 21868060

40. Sullivan M, Tanzer M, Reardon G, Amirault D, Dunbar M, Stanish W. The role of presurgical expectancies in predicting pain and function one year following total knee arthroplasty. Pain, 2011. 152(10): p. 2287–93. doi: 10.1016/j.pain.2011.06.014 21764515

41. Dabare C, Le Marshall K, Leung A, Page CJ, Choong PF, Lim KK. Differences in presentation, progression and rates of arthroplasty between hip and knee osteoarthritis: Observations from an osteoarthritis cohort study-a clear role for conservative management. Int J Rheum Dis, 2017. 20(10): p. 1350–1360. doi: 10.1111/1756-185X.13083 28493422

42. Vissers MM, Bussmann JB, Verhaar JA, Busschbach JJ, Bierma-Zeinstra SM, Reijman M. Psychological factors affecting the outcome of total hip and knee arthroplasty: a systematic review. Semin Arthritis Rheum, 2012. 41(4): p. 576–88. doi: 10.1016/j.semarthrit.2011.07.003 22035624

43. Zuo XN, Xu T, Milham MP. Harnessing reliability for neuroscience research. Nat Hum Behav, 2019. 3(8): p. 768–771. doi: 10.1038/s41562-019-0655-x 31253883

44. Petersen KK, Arendt-Nielsen L, Simonsen O, Wilder-Smith O, Laursen MB. Presurgical assessment of temporal summation of pain predicts the development of chronic postoperative pain 12 months after total knee replacement. Pain, 2015. 156(1): p. 55–61. doi: 10.1016/j.pain.0000000000000022 25599301

45. Petersen KK, Graven-Nielsen T, Simonsen O, Laursen MB, Arendt-Nielsen L. Preoperative pain mechanisms assessed by cuff algometry are associated with chronic postoperative pain relief after total knee replacement. Pain, 2016. 157(7): p. 1400–6. doi: 10.1097/j.pain.0000000000000531 27331347

46. Leung YY, Lim Z, Fan Q, Wylde V, Xiong S, Yeo SJ, et al. Pre-operative pressure pain thresholds do not meaningfully explain satisfaction or improvement in pain after knee replacement: a cohort study. Osteoarthritis Cartilage, 2019. 27(1): p. 49–58. doi: 10.1016/j.joca.2018.09.003 30243947

47. Baliki MN , Schnitzer TJ, Bauer WR, Apkarian AV. Brain morphological signatures for chronic pain. PLoS One, 2011. 6(10): p. e26010. doi: 10.1371/journal.pone.0026010 22022493

48. Baliki MN, Mansour AR, Baria AT, Apkarian AV. Functional reorganization of the default mode network across chronic pain conditions. PLoS One, 2014. 9(9): p. e106133. doi: 10.1371/journal.pone.0106133 25180885


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