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The Influence of Preoperative Mood and Treatment Expectations on Early Postsurgical Acute Pain After a Total Knee Replacement

Overview
Specialty Psychiatry
Date 2022 May 13
PMID 35558426
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Abstract

Background: Reducing postoperative pain immediately after surgery is crucial because severe postoperative pain reduces quality of life and increases the likelihood that patients develop chronic pain. Even though postoperative pain has been widely studied and there are national guidelines for pain management, the postoperative course is differently from one patient to the next. Different postoperative courses could be explained by factors related to the treatment context and the patients. Preoperative emotional states and treatment expectations are significant predictors of postoperative pain. However, the interaction between emotional states and preoperative treatment expectations and their effect on postoperative pain have not yet been studied. The aim of our study was to identify the interaction between emotional states, treatment expectation and early postsurgical acute pain.

Methods: In this prospective clinical trial, we enrolled patients who had received a TKR at a German hospital between October 2015 and March 2019. Patients rated their preoperative pain on a numeric rating scale (NRS) 0-10 (0 = no pain and 10 = worst pain imaginable), their emotional states preoperatively on the Pain and State of Health Inventory (PHI), their preoperative treatment expectations on the Stanford Expectation of Treatment Scale (SETS), and their postoperative level of pain on a NRS 0-10.

Findings: The questionnaires were completed by 122 patients (57% female). Emotional states predict negative treatment expectation (6, 108) = 8.32, < 0.001, with an excellent goodness-of-fit, R = 0.31. Furthermore, a mediator analysis revealed that the indirect effects and therefore relationship between the emotional states sad (ab = 0.06, 95% CI[0.01, 0.14]), anxious (ab = 0.13, 95% CI[0.04, 0.22]), and irritable (ab = 0.09, 95% CI[0.03, 0.17]) and postoperative pain is fully mediated by negative treatment expectations. Whereas the emotional states tired (ab = 0.09, 95% CI[0.03, 0.17]), dizzy/numb (ab = 0.07, 95% CI[0.01, 0.20]), weak (ab = 0.08, 95% CI[0.03, 0.16] are partially mediated by negative treatment expectations.

Conclusion: The relationship between emotional states and postoperative pain is mediated by negative treatment expectations. Therefore, innovative treatment strategies to reduce postoperative pain should focus on eliminating negative treatment expectation through establishing a differentiated preoperative expectation management program that also focuses on emotional states.

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References
1.
Kong J, Gollub R, Polich G, Kirsch I, LaViolette P, Vangel M . A functional magnetic resonance imaging study on the neural mechanisms of hyperalgesic nocebo effect. J Neurosci. 2008; 28(49):13354-62. PMC: 2649754. DOI: 10.1523/JNEUROSCI.2944-08.2008. View

2.
Darnall B, Colloca L . Optimizing Placebo and Minimizing Nocebo to Reduce Pain, Catastrophizing, and Opioid Use: A Review of the Science and an Evidence-Informed Clinical Toolkit. Int Rev Neurobiol. 2018; 139:129-157. PMC: 6175287. DOI: 10.1016/bs.irn.2018.07.022. View

3.
Bushnell M, ceko M, Low L . Cognitive and emotional control of pain and its disruption in chronic pain. Nat Rev Neurosci. 2013; 14(7):502-11. PMC: 4465351. DOI: 10.1038/nrn3516. View

4.
Benedetti F, Lanotte M, Lopiano L, Colloca L . When words are painful: unraveling the mechanisms of the nocebo effect. Neuroscience. 2007; 147(2):260-71. DOI: 10.1016/j.neuroscience.2007.02.020. View

5.
Volkow N, Blanco C . Interventions to Address the Opioid Crisis-Modeling Predictions and Consequences of Inaction. JAMA Netw Open. 2021; 4(2):e2037385. DOI: 10.1001/jamanetworkopen.2020.37385. View