Literature DB >> 25967998

Interventions for the prediction and management of chronic postsurgical pain after total knee replacement: systematic review of randomised controlled trials.

Andrew D Beswick1, Vikki Wylde1, Rachael Gooberman-Hill1.   

Abstract

OBJECTIVES: Total knee replacement can be a successful operation for pain relief. However, 10-34% of patients experience chronic postsurgical pain. Our aim was to synthesise evidence on the effectiveness of applying predictive models to guide preventive treatment, and for interventions in the management of chronic pain after total knee replacement.
SETTING: We conducted a systematic review of randomised controlled trials using appropriate search strategies in the Cochrane Library, MEDLINE and EMBASE from inception to October 2014. No language restrictions were applied. PARTICIPANTS: Adult patients receiving total knee replacement.
INTERVENTIONS: Predictive models to guide treatment for prevention of chronic pain. Interventions for management of chronic pain. PRIMARY AND SECONDARY OUTCOME MEASURES: Reporting of specific outcomes was not an eligibility criterion but we sought outcomes relating to pain severity.
RESULTS: No studies evaluated the effectiveness of predictive models in guiding treatment and improving outcomes after total knee replacement. One study evaluated an intervention for the management of chronic pain. The trial evaluated the use of a botulinum toxin A injection with antinociceptive and anticholinergic activity in 49 patients with chronic postsurgical pain after knee replacement. A single injection provided meaningful pain relief for about 40 days and the authors acknowledged the need for a large trial with repeated injections. No trials of multidisciplinary interventions or individualised treatments were identified.
CONCLUSIONS: Our systematic review highlights a lack of evidence about the effectiveness of prediction and management strategies for chronic postsurgical pain after total knee replacement. As a large number of people are affected by chronic pain after total knee replacement, development of an evidence base about care for these patients should be a research priority. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  PAIN MANAGEMENT

Mesh:

Substances:

Year:  2015        PMID: 25967998      PMCID: PMC4431062          DOI: 10.1136/bmjopen-2014-007387

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Reproducible systematic review methods. Identification of research priorities. Interventions for chronic pain after other surgeries may have value in total knee replacement.

Introduction

Total knee replacement is an increasingly common procedure that aims to reduce pain and functional limitations, particularly for people with osteoarthritis of the knee. In the year to 31 March 2014, nearly 78 000 people received a primary total knee replacement in the UK,1 and in 2010 approximately 719 000 procedures were performed in the USA.2 It is estimated that over half of all people in the USA diagnosed with osteoarthritis will receive a total knee replacement.3 Surgery is a known risk factor for chronic pain4 defined as pain ‘present for at least 3 months’.5 Chronic postsurgical pain ‘develops after a surgical procedure or increases in intensity after the surgical procedure’.6 Although many patients report a good outcome after their total knee replacement, at a time when recovery should have been achieved,7 about 10–34% of patients report moderate to severe chronic postsurgical pain.8 In the UK, this could mean 7500–25 500 potential new cases of chronic postsurgical pain every year, while in the USA this equates to between 72 000 and a quarter of a million new cases annually. As patients undergo knee replacement in order to relieve knee pain, these estimates are cause for concern. Given the distress caused by chronic postsurgical pain,9 and the predicted increases in prevalence of osteoarthritis,10 and the need for knee replacement surgery,11 robust evidence is needed on effective methods for preventing the development of chronic pain, identifying patients at risk of developing chronic pain, and for the management of chronic pain. Inadequately controlled perioperative pain is a risk factor for long-term pain and, although studied widely, systematic reviews have shown that evidence on long-term benefit is limited.12–15 A large number of preoperative and early postoperative factors are associated with poor pain outcomes, including greater joint pain16–18 and pain catastrophisation,19–21 poor mental health,16 19 21–23 and presence of musculoskeletal comorbidities.18 24 As the cause of chronic pain after total knee replacement is likely to be multifactorial, with mechanical, biological and psychological features, simple interventions targeting individual issues will leave a large proportion of patients at risk of developing long-term pain with no appropriate care. The potential value of multivariable risk assessment is clear although the ability of predictive models to identify patients at risk of long-term pain has been highly variable.25 26 Furthermore, as with all prognostic models guiding decision-making, evidence on their efficacy and safety in targeting interventions is required before application in clinical practice.27 Owing to the complexity of chronic pain, treatments in appropriate combinations matched to patient characteristics are advocated.28 29 As with application of methods for prediction, evidence is required that pain management strategies are effective in patients with chronic postsurgical pain after total knee replacement. This may relate to specific treatments or to multifactorial assessment and management. Our aim was to conduct a systematic review to identify randomised trials in patients with total knee replacement that have evaluated: (1) the application of predictive models in the targeting of pain management and (2) interventions for the treatment of chronic pain. Relevant outcomes related to pain severity. While our particular interest was total knee replacement, we used a broader search strategy to include any type of knee surgery as appropriate pain prediction, and management methods may have been evaluated in more diverse knee surgeries.

Methods

We aimed to conduct our literature reviews with transparent and unbiased methods such that they can be considered truly systematic and reproduced on the basis of sources of literature, search processes, study inclusion or exclusion, data analysis if feasible, and study quality assessment. To achieve this, we used methods described in the Cochrane Handbook of Systematic reviews.30 As this review focuses on randomised controlled trials, we conducted the review with reference to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines which aim to improve the reporting of systematic reviews.31

Search strategy

Separate literature search strategies for predictive methods and pain management based on validated searches30 32 33 were applied in MEDLINE, EMBASE and the Cochrane Library from inception up to 1 October 2014. We considered that the EMBASE coverage of conference abstracts since 2009 was an appropriate search of ‘grey literature’ in the orthopaedic context. Search strategies as applied in MEDLINE are shown in box 1 with combinations of terms, such as ‘risk function, risk assessment, randomised trial, knee,’ and ‘pain, post-operative, post-surgical, randomised trial, knee.’ Search terms were in English, but no further language restrictions were applied with funds available to pay translation costs if required. If necessary author contact for additional information was planned. Prediction risk function.mp. or risk assessment risk equation$.mp. risk chart.mp. (risk adj3 tool$).mp. [mp=ti, ab, ot, nm, hw, kf, px, rx, ui, sh, tn, dm, mf, dv, kw] risk assessment function.mp. risk assessor.mp. risk appraisal$.mp. risk calculation$.mp. risk calculator$.mp. risk factor$ calculation$.mp. risk engine$.mp. risk equation$.mp. risk table$.mp. risk threshold$.mp. risk scoring method?.mp. scoring scheme?.mp. risk scoring system.mp. risk prediction.mp. predictive instrument.mp. project$ risk.mp. exp decision support techniques/ Diagnosis, Computer-Assisted/ Decision Support Systems, Clinical/ algorithms/ algorithm?.mp. or Algorithms/ algorythm?.mp. decision support?.mp. predictive model.mp. treatment decision.mp. scoring method$.mp. (prediction$ adj3 method$).mp. [mp=ti, ab, ot, nm, hw, kf, px, rx, ui, sh, tn, dm, mf, dv, kw] exp Risk Assessment/ (risk? adj1 assess$).mp. [mp=ti, ab, ot, nm, hw, kf, px, rx, ui, sh, tn, dm, mf, dv, kw] 1 or 2 or 3 or 4 or 5 or 6 or 7 or 8 or 9 or 10 or 11 or 12 or 13 or 14 or 15 or 16 or 17 or 18 or 19 or 20 or 21 or 22 or 23 or 24 or 25 or 26 or 27 or 28 or 29 or 30 or 31 or 32 or 33 knee.tw. 34 and 35 randomized controlled trial.pt. controlled clinical trial.pt. randomized.ab. placebo.ab. randomly.ab. trial.ab. groups.ab. (animals not (humans and animals)).sh. 37 or 38 or 39 or 40 or 41 or 42 or 43 45 not 44 36 and 46 Treatment Pain, Postoperative/ ((postoperative adj6 pain*) or (post-operative adj6 pain*) or post-operative-pain*).mp. [mp=title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept, rare disease supplementary concept, unique identifier] ((post-operative adj6 analgesi*) or (postoperative adj6 analgesi*)).mp. [mp=title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept, rare disease supplementary concept, unique identifier] ((post-surgical adj6 pain*) or (post surgical adj6 pain*) or (post-surgery adj6 pain*) or (post adj surg* adj pain*)).mp. [mp=title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept, rare disease supplementary concept, unique identifier] ((post* adj pain*) or pain relief after or pain following surg*).mp. [mp=title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept, rare disease supplementary concept, unique identifier] ((posttreatment adj6 pain*) or (pain control after adj6 surg*) or ((post-extraction or postextraction or post-surg*) and (pain* or discomfort))).mp. [mp=title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept, rare disease supplementary concept, unique identifier] randomized controlled trial.pt. controlled clinical trial.pt. randomized.ab. placebo.ab. randomly.ab. trial.ab. 7 or 8 or 9 or 10 or 11 or 12 1 or 2 or 3 or 4 or 5 or 6 13 and 14 knee.tw. 15 and 16

Eligibility criteria

Eligible studies satisfied PICOS criteria. Patients: adults with knee surgery Intervention: treatment guided by a predictive model or an intervention for management of chronic pain (pain reported at 3 months or more after surgery) Control: a usual care comparison group Outcome: an outcome relating to pain severity Setting: evaluation in a randomised controlled trial

Data extraction

Articles and inclusion/exclusion decisions were catalogued in Endnote X7. All titles and abstracts were screened independently by two reviewers. Potentially relevant articles were evaluated in detail by two reviewers, independently, with decisions on relevance made after discussion. Data on study and patient characteristics, intervention and control group treatment, follow-up and outcomes and results were extracted onto a summary table.

Outcomes

We did not exclude studies on the grounds of what outcomes were reported, as the possibility existed that authors might be able to provide unpublished outcome data. However, the outcomes of interest to this review relate to pain severity.

Quality assessment

Study quality was assessed using criteria in the Cochrane risk of bias table,30 and is summarised with other study data in table 1.
Table 1

Characteristics of included study

AuthorSingh et al34
CountryUSA
IndicationTotal knee replacement >6 months. Chronic pain >3 months (≥6 points on 10-point VAS scale). Unsuccessful treatment with oral pain medication, not surgical candidate or infection identified. Mean pain duration 4.5 years
Number of patients49 patients with 60 total knee replacements (30 intervention: 30 control)
AgeMean: intervention 67.1 years; control 66.8 years
SexFemale: intervention 22%; control 12%
ApproachStandardised medial or lateral
InterventionIntra-articular injection of 100 units botulinum toxin A diluted in 5 mL sterile normal saline
ControlIntra-articular injection of 5 mL sterile normal saline
Follow-up intervalUp to 6 months
Outcome measuresProportion of responders at 2 months (≥2 point VAS reduction)Physicians’ global assessment of changeOnset and duration of pain (20 point WOMAC pain decrease)WOMAC functionTimed-stands testTimed-up-and-goActive knee flexionMedical Outcomes Study Short-Form 36 (SF-36)Short-form McGill Pain QuestionnaireChanges in analgesic medicationsSide effects and adverse outcomes
Economic evaluationNone reported
Risk of biasOverall: low
 Random sequenceIndependent
 ConcealmentSyringes prepared independently
 BlindingPatients, surgeon, investigators, statistician all blind to group allocation
 Blind outcomeAssessment bind to group allocation
 Complete dataLow losses to follow-up at primary outcome intervals
 Selective reportingAppropriate range of outcomes reported
 Other biasNone apparent
 Losses to follow-up2 (1:1) lost to 2 month follow-up. 7 (3:4) lost to 6 month follow-up
 Power calculationReported to be powered for significant improvement on WOMAC scale
Results summaryPain severity reduced in 71% of intervention patients compared with 35% in placebo group at 2 months. Benefit also at 3 months but not at 4 months. Duration of meaningful pain relief was 39.6 (SD=50.4) days in intervention group compared with 15.7 (SD=22.6) days in placebo group

VAS, visual analogue scale; WOMAC, Western Ontario and McMaster Universities Osteoarthritis Index.

Characteristics of included study VAS, visual analogue scale; WOMAC, Western Ontario and McMaster Universities Osteoarthritis Index.

Analyses

If sufficient studies with similar outcome measures were identified, we intended to conduct an appropriate meta-analysis using Review Manager. If this was not possible, we planned a descriptive overview of studies.

Results

Main features of the review process are summarised according to PRISMA guidelines as online supplementary material. As shown in figure 1, searches for evaluations of predictive models and treatments identified 1159 and 1886 articles, respectively.
Figure 1

Systematic review flow diagram.

Application of predictive models

After screening all the titles and abstracts, 16 articles were identified as potentially relevant to the review of predictive models and were evaluated in detail. Reasons for exclusion are summarised with references in the online supplementary material. No studies evaluated the effectiveness of predictive models in guiding treatment and improving long-term outcomes after knee surgery. Systematic review flow diagram.

Chronic pain management interventions

In the review of treatments for chronic pain after knee surgery, a large majority of studies (66%) reported analgesia or other interventions in the perioperative period. Thirty articles were judged to be potentially relevant. Reasons for exclusion of 29 studies are summarised with references in the online supplementary material. One intervention fulfilled all inclusion criteria, and study details are summarised in table 1. Singh et al34 evaluated the use of a botulinum toxin A injection with antinociceptive and anticholinergic activity in a randomised controlled trial. In the original randomisation, patients with simultaneous bilateral total knee replacement were included, but the published article focused on 49 patients with a unilateral replacement (or first operation in a sequential bilateral replacement). On the basis of criteria specified in the Cochrane risk of bias table, we assessed that this study was of low risk of bias though the small size of the study is a cause for concern. Patients in the trial had received a total knee replacement at least 6 months earlier and had experienced pain in their replaced knee for more than 3 months. Reduced pain intensity was apparent for the intervention compared with placebo after 2 and 3 months, although the authors suggested that meaningful pain relief was evident up to about 40 days with no increase in adverse events. No cost-effectiveness analysis was performed. The authors concluded that the effect of repeated injections should be assessed in a multicentre trial, but no further study was found on inspection of the Current Controlled Trials database on 5 November 2014.

Discussion

By limiting potential sources of bias, randomised controlled trials provide the best method to assess the effectiveness of healthcare interventions. Systematic reviews aim to appraise evidence from high-quality studies and can have two broad outcomes: a synthesis of knowledge to guide decision-making; or identification of deficits in the evidence base that merit further research. The main indications for total knee replacement are pain and functional limitations caused by osteoarthritis. The widespread acknowledgement that some people will have chronic postsurgical pain after this potentially curative treatment dates largely from the introduction of patient-reported outcome measures. There is some evidence that acute postoperative pain may impact on long-term pain,35 and a considerable number of randomised treatment evaluations have targeted reduction in acute pain with perioperative multimodal anaesthesia.12–15 Few studies have followed up patients long term, although the importance of this is now recognised.36 While acknowledging the potential importance of such methods in preventing the development of long-term pain, an appropriate body of research should also explore the issues of prediction and management. The one trial of pain management that we identified showed promise, but further research is needed to confirm the findings. Treatment of chronic pain can be challenging, and there is a need to evaluate multidisciplinary combination treatments and the benefit of matching interventions to patient characteristics.28 29 Our study might be criticised as asking research questions that are too specific and beyond the scope of randomised evaluation. However, evaluation of predictive models in guiding healthcare is recognised in other medical disciplines. For example, risk scoring has been studied in cardiovascular disease in randomised trials both as a guide for appropriate medical treatment of risk factors37 38 and lifestyle interventions.39 Without evidence that application of predictive models in total knee replacement is more effective in guiding treatment and improving outcomes than existing care, they have no value in evidence-based clinical practice. In total knee replacement, specific biological and mechanical issues, and psychological factors relating to joint replacement should be considered in the treatment of chronic pain. The identification of one randomised trial in our review reflects an understanding that approaches to pain management after total knee replacement have features that differ from chronic pain attributable to other causes. Furthermore, a range of potential interventions with no robust evaluation were identified in our review, specifically neurostimulation,40–43 radiofrequency ablation,44 denervation,45 46 steroid injection47 and secondary resurfacing.48 This can only be indicative of an awareness of the issue of treatment of pain after knee surgery as the literature searches were not designed to identify studies that did not report robust evaluations. While these relate specifically to orthopaedic surgery and to underlying musculoskeletal conditions, some strategies will be transferrable from more general pain management including analgesic medication, and should be considered as potential interventions in patients with long-term pain after total knee replacement. In summary, our systematic review highlights the lack of evidence about prediction and management of chronic postsurgical pain after total knee replacement. Given the complexity of chronic postsurgical pain and the range of possible treatment options, screening and adequate referral processes are needed, so that patients can receive appropriate interventions that have the potential to improve outcomes and reduce distress. As a large number of people are affected by chronic pain after total knee replacement, the development of an evidence base about care for these patients should be a research priority.
  40 in total

Review 1.  Accuracy and impact of risk assessment in the primary prevention of cardiovascular disease: a systematic review.

Authors:  P Brindle; A Beswick; T Fahey; S Ebrahim
Journal:  Heart       Date:  2006-04-18       Impact factor: 5.994

2.  Local infiltration analgesia following total knee arthroplasty: effect on post-operative pain and opioid consumption--a meta-analysis.

Authors:  Renée Keijsers; Rogier van Delft; Michel P J van den Bekerom; Dirk C A A de Vries; Richard M Brohet; Peter A Nolte
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2013-11-30       Impact factor: 4.342

3.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  J Clin Epidemiol       Date:  2009-07-23       Impact factor: 6.437

Review 4.  Treatment of chronic non-cancer pain.

Authors:  Dennis C Turk; Hilary D Wilson; Alex Cahana
Journal:  Lancet       Date:  2011-06-25       Impact factor: 79.321

5.  The role of preoperative self-efficacy in predicting outcome after total knee replacement.

Authors:  V Wylde; S Dixon; A W Blom
Journal:  Musculoskeletal Care       Date:  2012-02-24

6.  Medical and psychological comorbidity predicts poor pain outcomes after total knee arthroplasty.

Authors:  Jasvinder A Singh; David G Lewallen
Journal:  Rheumatology (Oxford)       Date:  2013-01-15       Impact factor: 7.580

7.  Results of peri-articular steroid injection in the treatment of chronic extra-articular pain after total knee arthroplasty.

Authors:  Pruk Chaiyakit; Surapoj Meknavin; Veeraphol Pakawattana
Journal:  J Med Assoc Thai       Date:  2012-10

8.  Secondary resurfacing of the patella for persistent anterior knee pain after primary knee arthroplasty.

Authors:  H E Muoneke; A M Khan; K A Giannikas; E Hägglund; T H Dunningham
Journal:  J Bone Joint Surg Br       Date:  2003-07

Review 9.  Femoral nerve blocks for acute postoperative pain after knee replacement surgery.

Authors:  Ee-Yuee Chan; Marlene Fransen; David A Parker; Pryseley N Assam; Nelson Chua
Journal:  Cochrane Database Syst Rev       Date:  2014-05-13

10.  Effect of local anaesthetic infiltration on chronic postsurgical pain after total hip and knee replacement: the APEX randomised controlled trials.

Authors:  Vikki Wylde; Erik Lenguerrand; Rachael Gooberman-Hill; Andrew D Beswick; Elsa Marques; Sian Noble; Jeremy Horwood; Mark Pyke; Paul Dieppe; Ashley W Blom
Journal:  Pain       Date:  2015-06       Impact factor: 7.926

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  14 in total

Review 1.  Management of Refractory Pain After Total Joint Replacement.

Authors:  Max L Willinger; Jamie Heimroth; Nipun Sodhi; Luke J Garbarino; Peter A Gold; Vijay Rasquinha; Jonathan R Danoff; Sreevathsa Boraiah
Journal:  Curr Pain Headache Rep       Date:  2021-04-17

2.  Development of a complex intervention for people with chronic pain after knee replacement: the STAR care pathway.

Authors:  Vikki Wylde; Nicholas Howells; Wendy Bertram; Andrew J Moore; Julie Bruce; Candy McCabe; Ashley W Blom; Jane Dennis; Amanda Burston; Rachael Gooberman-Hill
Journal:  Trials       Date:  2018-01-23       Impact factor: 2.279

Review 3.  Systematic review of management of chronic pain after surgery.

Authors:  V Wylde; J Dennis; A D Beswick; J Bruce; C Eccleston; N Howells; T J Peters; R Gooberman-Hill
Journal:  Br J Surg       Date:  2017-07-06       Impact factor: 6.939

Review 4.  Effectiveness of postdischarge interventions for reducing the severity of chronic pain after total knee replacement: systematic review of randomised controlled trials.

Authors:  Vikki Wylde; Jane Dennis; Rachael Gooberman-Hill; Andrew David Beswick
Journal:  BMJ Open       Date:  2018-02-28       Impact factor: 2.692

5.  Clinical- and cost-effectiveness of the STAR care pathway compared to usual care for patients with chronic pain after total knee replacement: study protocol for a UK randomised controlled trial.

Authors:  Vikki Wylde; Wendy Bertram; Andrew D Beswick; Ashley W Blom; Julie Bruce; Amanda Burston; Jane Dennis; Kirsty Garfield; Nicholas Howells; Athene Lane; Candy McCabe; Andrew J Moore; Sian Noble; Tim J Peters; Andrew Price; Emily Sanderson; Andrew D Toms; David A Walsh; Simon White; Rachael Gooberman-Hill
Journal:  Trials       Date:  2018-02-21       Impact factor: 2.279

6.  Chronic pain after total knee arthroplasty.

Authors:  Vikki Wylde; Andrew Beswick; Julie Bruce; Ashley Blom; Nicholas Howells; Rachael Gooberman-Hill
Journal:  EFORT Open Rev       Date:  2018-08-16

7.  Relationship between self-reported pain sensitivity and pain after total knee arthroplasty: a prospective study of 71 patients 8 weeks after a standardized fast-track program.

Authors:  Berit T Valeberg; Lise H Høvik; Kari H Gjeilo
Journal:  J Pain Res       Date:  2016-09-08       Impact factor: 3.133

Review 8.  Post-operative patient-related risk factors for chronic pain after total knee replacement: a systematic review.

Authors:  Vikki Wylde; Andrew D Beswick; Jane Dennis; Rachael Gooberman-Hill
Journal:  BMJ Open       Date:  2017-11-03       Impact factor: 2.692

9.  Neuromuscular exercise and pain neuroscience education compared with pain neuroscience education alone in patients with chronic pain after primary total knee arthroplasty: study protocol for the NEPNEP randomized controlled trial.

Authors:  Jesper Bie Larsen; Søren T Skou; Lars Arendt-Nielsen; Ole Simonsen; Pascal Madeleine
Journal:  Trials       Date:  2020-02-24       Impact factor: 2.279

10.  Predictors of chronic pain and level of physical function in total knee arthroplasty: a protocol for a systematic review and meta-analysis.

Authors:  Unni Olsen; Maren Falch Lindberg; Eva Marie-Louise Denison; Christopher James Rose; Caryl Lynn Gay; Arild Aamodt; Jens Ivar Brox; Øystein Skare; Ove Furnes; Kathryn A Lee; Anners Lerdal
Journal:  BMJ Open       Date:  2020-09-10       Impact factor: 2.692

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