Abstract
Background: Postoperative pain management after total knee arthroplasty (TKA) is crucial for promoting early recovery. Advances in pain management techniques have significantly improved outcomes after TKA. Recently, multimodal analgesia has emerged as a key concept in pain management following TKA, using regional anaesthesia to reduce narcotic use and minimise narcotic-related side effects. This Bayesian network meta-analysis compared different treatment options for the management of postoperative pain following primary TKA. Methods: This study was conducted following the 2020 PRISMA statement. In January 2025, all randomised controlled trials (RCTs) related to postoperative pain management following TKA were accessed. Pain reported on postoperative days (PODs) 1–3 was evaluated. Results: Data from 7199 patients were retrieved. Of these, 63.2% (4232 of 6691) were women, and the mean age was 66.7 ± 3.1 years. The mean length of follow-up was 10.2 ± 18.3 weeks. At baseline, comparability was confirmed for age (p = 0.1), BMI (p = 0.8), and visual analogue scale (VAS, p = 0.1). On POD 1, single-shot SNB/three-in-one block was associated with a lower VAS, followed by continuous intra-articular analgesia/local infiltration analgesia (LIA)/posterior capsule infiltration (PCI) and continuous femoral nerve block (FNB)/intermittent SNB. On POD 2, continuous intra-articular analgesia/LIA/PCI was associated with a lower VAS, followed by continuous FNB/PCI and single-shot femoral triangle block (FTB)/single-shot infiltration between the popliteal artery and capsule of the knee (IPACK). On POD 3, continuous ACB was associated with a lower VAS, followed by continuous intra-articular analgesia/LIA/PCI and continuous FNB/PCI. Conclusions: Continuous intra-articular analgesia/LIA/PCI was associated with the best pain control following primary TKA. Multimodal analgesia, which incorporates peripheral nerve blockade and periarticular injections, has become a key concept in contemporary pain management following TKA.
1. Introduction
Total knee arthroplasty (TKA) is a widely performed surgical procedure for patients with end-stage osteoarthritis (OA) or rheumatic arthritis to improve mobility and alleviate joint pain [1,2,3,4]. TKA is one of the most effective surgeries in musculoskeletal medicine [5,6,7,8,9]. However, despite its effectiveness, TKA often results in moderate to severe postoperative pain, which can be challenging to manage [10]. In some cases, patients experience extreme immediate postoperative pain [11], which can significantly hinder rehabilitation efforts, reduce patient satisfaction, and adversely impact the overall outcomes of the procedure. Severe postoperative pain can lead to prolonged hospital stays, increased readmissions, and higher opioid consumption, often accompanied by nausea and vomiting. These factors reduce patient satisfaction and increase healthcare costs [11,12]. Therefore, effective postoperative pain management is crucial for prompting early recovery and improving patient outcomes. In the past, perioperative pain management for TKA primarily relied on opioids [13]. However, the use of opioids is associated with adverse effects, such as risk of addiction and adverse side effects, limiting their routine application in clinical practice. Advances in pain management techniques, especially in the last two decades, have significantly improved the outcomes and practice of TKA. Recently, multimodal analgesia has emerged as a key concept in pain management following TKA. This approach incorporates techniques such as local infiltration analgesia (LIA), posterior capsule infiltration (PCI), peripheral nerve blocks such as adductor canal block (ACB), femoral nerve block (FNB) and sciatic nerve block (SNB), intravenous patient-controlled analgesia (PCA), epidural anaesthesia, and the use of various pain medications [10,11,14].
There is a growing trend toward multimodal approaches using regional anaesthesia to reduce narcotic use and minimise narcotic-related side effects [11]. However, these techniques also have limitations, such as suboptimal pain control and unwanted side effects, and no gold standard has been established yet. Therefore, this Bayesian network meta-analysis aimed to compare the different treatment options in managing postoperative pain following primary TKA.
2. Methods
2.1. Search Strategy
This Bayesian network meta-analysis was conducted according to the PRISMA extension statement for reporting systematic reviews incorporating network meta-analyses of healthcare interventions [15]. The following framework (PICOTD) was used for the search:
- P (Problem): TKA;
- I (Intervention): postoperative pain control;
- C (Comparison): different strategies to manage pain control;
- O (Outcomes): visual analogue scale;
- T (Timing): hospitalisation;
- D (Design): randomised controlled trials.
PubMed, Web of Science, and Embase were accessed in January 2025 without additional filters or temporal constraints. The Medical Subject Headings (MeSHs) used in the database are reported as Supplementary Materials.
2.2. Eligibility Criteria
All randomised controlled trials (RCTs) concerning postoperative pain management following TKA were considered. Eligible studies were required to be published in peer-reviewed journals. According to the authors’ capabilities, only articles in the following languages were considered: Italian, Spanish, German, English, or French. Only studies with levels I to II of evidence, according to the Oxford Centre of Evidence-Based Medicine (OCEBM) [16], were considered. Studies that evaluated other non-pharmacological analgesia modalities were not considered. Opinions, letters, editorials, and reviews were excluded. Additionally, studies involving animals, computational analyses, biomechanical assessments, in vitro experiments, or cadaveric research were disregarded. Only RCTs concerning pain management in TKA were included. Studies evaluating monocompartmental arthroplasty or those in revision settings were not eligible. Only studies reporting data on the visual analogue scale (VAS) [17] for each postoperative day (POD) were included.
2.3. Outcomes of Interest
Three authors (H.A.M.E, G.C., and T.B.) conducted data extraction. For each study, the following generalities were collected: author, year of publication, journal, study design, and length of follow-up. The following data at baseline were retrieved: number of patients, number of women, mean age, and mean BMI. Data concerning VAS were collected for PODs 0, 1, 2, and 3 and at discharge. Extraction was performed using Microsoft Office Excel version 16.0 (Microsoft Corporation, Redmond, WA, USA).
2.4. Methodology Quality Assessment
Three authors (H.A.M.E., G.C., and T.B.) performed the methodological quality assessment using the revised Risk of Bias assessment tool (RoB2) [18,19] of the Cochrane tool for assessing the Risk of Bias in randomised trials [20]. The following endpoints were considered: bias arising from the randomisation process, bias due to deviations from intended interventions, bias due to missing outcome data, bias in measuring the outcome, and bias in selecting the reported result.
2.5. Statistical Analysis
The statistical analysis was performed by the main author (F.M.). STATA Software/MP (version 15, StataCorporation, College Station, TX, USA) was used for the statistical analyses. The baseline comparability was assessed using analysis of variance (ANOVA), with p-values > 0.1 considered satisfactory. The network meta-analyses were performed through the STATA routine using the inverse variance method for Bayesian hierarchical random-effects model analysis. The standardised mean difference (STD) was calculated for continuous data. The overall inconsistency was evaluated through the equation for global linearity via the Wald test. If the p-value > 0.1, the null hypothesis cannot be rejected, and the consistency assumption is accepted at the overall level of each treatment. Edge plots were performed to display direct and indirect comparisons and respective statistical weights. Interval plots were performed to rank each treatment according to their estimated effect. Both confidence (CI) and percentile (PrI) intervals were set at 95% in each interval plot. Funnel plots were performed to investigate the risk of bias related to each comparison. Greater plot asymmetry indicates greater data variability and is associated with a greater risk of bias.
3. Results
3.1. Search Result
The systematic literature search resulted in the identification of 3283 articles. After removing duplicates, the abstracts of 2196 articles were screened for eligibility. A total of 2004 articles were excluded for the following reasons: mismatch with the predefined study design criteria (n = 1123), full-text unavailability (n = 725), and language limitations (n = 156). Of the remaining 192 studies, another 115 were excluded after full-text evaluation. Consequently, a final selection of 77 studies [21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96] was included in this systematic review. The results of the literature search are shown in Figure 1.
Figure 1.
Flowchart of the literature search.
3.2. Methodological Quality Assessment
The Cochrane Risk of Bias Assessment tool (ROB 2) was used to evaluate the 77 included RCTs. The analysis suggested a generally low to moderate risk of bias in the first three and the last domains: randomisation process, deviation from intended intervention, missing data, and selection of the reported result. Given the lack of blinded assessors, the outcome measurement, on the other hand, was at high risk in nearly half of the RCTs. The overall RoB was estimated to be low or moderate in more than half of the included RCTs, suggesting an acceptable methodological quality. However, caution must be paid to the potential bias in the outcome measurements. Figure 2 shows the bias risk distribution across the included RCTs.
Figure 2.
Methodological quality assessment.
3.3. Patient Demographics
Data from 7199 patients were retrieved, 63.2% of whom (4232 of 6691) were women. The mean length of follow-up was 10.2 ± 18.3 weeks. The mean age was 66.7 ± 3.1 years, and the mean BMI was 28.6 ± 3.0 kg/m2. The ANOVA test found comparability in age (p = 0.1), BMI (p = 0.8), and VAS (p = 0.1) at baseline. Table 1 shows the generalities and demographics of the studies.
Table 1.
Characteristics and patient baseline of the included studies (LIA: local infiltration analgesia; PCI: posterior capsule infiltration; ACB: adductor canal block; FNB: femoral nerve block; SNB: sciatic nerve block; PCA: patient-controlled analgesia; FTB: femoral triangle block; IPACK: infiltration between the popliteal artery and capsule of the knee).
3.4. Outcomes of Interest
Sixty-two RCTs (5856 patients) reported data on POD 1 [21,22,23,25,26,27,28,29,30,31,34,35,36,38,39,42,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,66,67,68,69,70,71,72,73,74,75,76,77,78,80,83,84,86,87,88,89,90,91,92,93,94,95,96]. Single-shot SNB/three-in-one block was associated with a lower VAS (SMD −0.50; 95% CI −1.98 to 0.98), followed by continuous intra-articular analgesia/LIA/PCI (SMD −0.17; 95% CI 2.13 to 1.78) and continuous FNB/intermittent SNB (SMD −0.0; 95% CI −2.13 to 2.13).
Fifty-three RCTs (5695 patients) reported data on POD 2 [23,24,25,27,31,36,37,39,40,41,42,43,44,45,47,50,51,52,53,54,55,56,58,59,60,62,63,64,65,66,69,70,71,72,73,74,77,78,79,80,81,84,86,87,88,89,90,91,92,93,94,95,96]. Continuous intra-articular analgesia/LIA/PCI was associated with a lower VAS (SMD −0.76; 95% CI 2.40 to 0.87), followed by continuous FNB/PCI (SMD −0.50; 95% CI −1.73 to 0.74) and single-shot FTB/single-shot IPACK (SMD −0.35; 95% CI −2.08 to 1.38).
Twenty-nine RCTs (2101 patients) reported data on POD 3 [21,23,27,31,32,33,36,37,42,44,45,50,51,54,55,56,58,70,76,80,81,82,85,87,88,89,90,91,95]. Continuous ACB was associated with a lower VAS (SMD −1.00; 95% CI −3.62 to 1.62), followed by continuous intra-articular analgesia/LIA/PCI (SMD −0.70; 95% CI −2.51 to 1.11) and continuous FNB/PCI (SMD −0.52; 95% CI −2.33 to 1.29). Edge, funnel, and interval plots of each POD are reported as Supplementary Materials.
4. Discussion
Multimodal analgesia is a key concept in pain management following TKA. However, there is still debate regarding the most effective combination of techniques. According to the findings of the present Bayesian network meta-analysis, continuous intra-articular analgesia/LIA/PCI was associated with superior pain control after primary TKA. The lowest VAS scores were observed with single-shot SNB/three-in-one block on postoperative day 1, for continuous intra-articular analgesia/LIA/PCI on postoperative day 2, and continuous ACB on postoperative day 3.
Traditional general anaesthesia combined with postoperative epidural and patient-controlled opioid analgesia is associated with a high rate of undesirable adverse effects. In contrast, the emerging concept of multimodal anaesthesia for TKA offers superior pain control, minimises opioid-related side effects, enhances patient satisfaction, and reduces the risk of postoperative complications [97]. In addition to oral opioid and non-opioid medications during the perioperative and postoperative period, multimodal anaesthesia integrates elements of pre-emptive analgesia, neuraxial perioperative anaesthesia, peripheral nerve blockade (PNB), and periarticular injections (PAI) [97].
However, despite the availability of multimodal treatment options for pain management following TKA, there is still no consensus on the optimal method [13,14]. PNB, LIA, and PCA are the most commonly used techniques. PCA involves using a programmable device tailored to the analgesic, the patient’s physical characteristics, and baseline pain levels. A small amount of analgesic can be delivered when patients press a button to administer it as needed. While opioids, such as morphine, fentanyl, and hydromorphone, are commonly used in PCA, it is associated with some adverse effects [98]. However, these effects are generally less severe than those caused by conventional opioid treatment [99]. Additionally, PCA encourages early mobilisation and reduces the length of hospital stays after TKA [13]. Based on a systematic review and meta-analysis, the International Consensus on Anesthesia-Related Outcomes after Surgery (ICAROS) group recommends PNB use in THA/TKA for improved outcomes [100]. Among PNB, femoral nerve block (FNB) has been widely accepted as the gold standard for pain relief after TKA. It provides adequate postoperative analgesia and contributes to long-term functional recovery in patients undergoing TKA [101]. However, FNB also reduces quadriceps muscle strength, which limits knee extension [102,103] and is associated with potentially serious complications, such as blood vessel and nerve damage [104]. Because the knee is innervated by several nerves, including the femoral, sciatic, obturator, saphenous, and lateral femoral cutaneous nerve, pain in the posterior aspect of the knee is not adequately reduced by FNB alone. Combining FNB with a sciatic nerve block (SNB) could address this limitation effectively. However, a combination of SNB with FNB may cause postoperative muscle weakness and may delay rehabilitation in the early postoperative period. Besides FNB and SNB, ACB is becoming increasingly popular as it provides postoperative pain relief as effectively as FNB but without impairing quadriceps muscle strength [103,105]. With ACB, it may be possible to block the saphenous nerve while sparing the major motor branches of the femoral nerve [13]. Compared with FNB, patients receiving ACB experience better quadriceps muscle strength, improved early rehabilitation, longer ambulation distances, and shorter hospital stays [79,106]. However, ACB does not adequately relieve lateral knee pain in the early stages [79] and remains a relatively new regional anaesthesia technique for TKA, requiring further clinical and scientific evaluation. In a systematic review and meta-analysis by Sercia et al., continuous ACB significantly reduced 48 h pain scores but did not significantly decrease opioid consumption [107]. LIA has gained significant interest in recent years given its simplicity, low associated risk, and reduced likelihood of systemic toxicity from local anaesthetics [13]. Additionally, LIA can address posterior knee pain by enabling injections into the posterior joint capsule (PCI: posterior capsule infiltration).
Furthermore, ultrasound-guided infiltration of local anaesthetics in the interspace between the popliteal artery and the posterior capsule of the knee (IPACK) is a novel regional anaesthetic technique for posterior knee analgesia that has shown promising results [108]. LIA is regarded as a promising method for pain management due to its ability to facilitate early mobilisation without compromising quadriceps muscle strength [109]. For this reason, combining an LIA with FNB may be a more acceptable approach than combining SNB with FNB for pain management following TKA [14]. A meta-analysis by Zhang et al. demonstrated that LIA was as effective as FNB regarding VAS scores for pain control at 24, 48, and 72 h, total morphine consumption, range of motion, knee society scores, complications, and length of hospital stay [110]. Furthermore, LIA significantly improved postoperative pain relief and reduced opioid consumption compared with ACB [111]. In contrast to the present findings, a meta-analysis by Wang et al. showed that single-shot FNB might provide better pain relief in the early postoperative period compared with single-shot periarticular multimodal drug injection (PMDI)/LIA. At the same time, continuous PMDI/LIA offered postoperative analgesia comparable to continuous FNB [112]. When comparing the efficacy of LIA and SNB combined with single-shot and continuous FNB, Tanikawa et al. found that SNB was more effective than LIA in reducing pain immediately after surgery [81]. However, consistent with the present findings, SNB was less effective than LIA at 24 h post-surgery [81]. Interestingly, a recent network meta-analysis suggested that ACB combined with IPACK may be the optimal analgesic regimen for TKA patients [113]. The analysis included and compared FNB, ACB, IPACK, and genicular nerve block (GNB). ACB + IPACK was the most effective regimen for resting pain and movement pain relief (78% and 87%, respectively) and for reducing opioid consumption (90%) at 48 h. Meanwhile, FNB combined with IPACK was the most efficacious option for resting pain relief (42%) and reducing opioid consumption (68%) at 24 h. GNB was the most effective option for movement pain relief at 24 h (94%) [113]. These conflicting results may be attributed to the different analgesic methods included in the analysis.
This study has several limitations. The present Bayesian network meta-analysis encompasses a wide range of interventions. The strength of Bayesian network meta-analysis is its capability to integrate a variety of treatments while maintaining consistency and validity through the concept of transitivity. In the present investigation, the authors carefully examined the comparability of studies, ensuring that the included treatments were sufficiently similar regarding their overall treatment objectives, population characteristics, and methodological rigour. Using a random-effects model accounts for variability between studies, including differences in treatment regimens, dosages, and patient populations. This model explicitly acknowledges and incorporates between-study heterogeneity, thereby enabling the synthesis of diverse treatment arms without compromising the validity of the pooled estimates. While the authors recognise that combining diverse treatments requires careful consideration, the Bayesian framework offers a robust methodology for pooling results, provided that the studies meet established methodological criteria. This meta-analytic approach was intentionally designed to maximise the inclusivity of relevant studies, ensuring a comprehensive dataset for the network meta-analyses. A key principle of Bayesian network meta-analysis is that its reliability and robustness directly depend on the quantity and connectivity of the available data. By minimising restrictive eligibility criteria, the present study aimed to include the broadest possible range of high-quality RCTs, thereby enhancing the statistical power and transitivity of the network. This approach is particularly critical in Bayesian frameworks, where prior distributions and borrowing of strength across comparisons require a well-connected and sufficiently populated network to yield stable and generalisable results. Only short-term pain relief was evaluated in this analysis, making it unclear which modality provides the best long-term clinical outcome. Additionally, this meta-analysis included multiple studies that are heterogenous and differ in several aspects, such as participant characteristics (age, sex, activity, BMI, etc.), single- or multicentre study designs, cohort size (small-, medium- and large-sized studies), and the number and types of analyses conducted. Another limitation is that ACB can be categorised into proximal and distal blocks, which produce different effects [114]. However, these distinctions were not considered in the present analysis. Moreover, the concentration and volume of local anaesthetic varied between studies, potentially affecting the analgesic outcomes. This study compared different treatment options for managing postoperative pain following primary TKA. Other aspects, such as the use of various drugs with differing times of onset and duration of effect, mechanisms of action, and routes of administration, were not included in this study. Additionally, the type of implants (e.g., short- or standard-stem and dual- or single-mobility) and related variations (e.g., cementation and surgical access) were not considered. Furthermore, there were differences in postoperative rehabilitation protocols and concomitant procedures performed across studies. These differences were not accounted for in the final analysis, although they could influence the results.
The strength of the present study is the analysis of various analgesic methods. We included several local infiltration methods, peripheral nerve blocks, intravenous patient-controlled analgesia, epidural anaesthesia, and the use of pain medications.
5. Conclusions
Continuous intra-articular analgesia, LIA, or PCI was associated with the best pain control following primary TKA. However, there appears to be a shift toward multimodal approaches, using regional anaesthesia to minimise narcotic consumption. Multimodal analgesia, incorporating peripheral nerve blockade and periarticular injection elements, has become a cornerstone in pain management following TKA.
Supplementary Materials
The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/ph18040556/s1, File S1: Research Questions and Searching Strategy.
Author Contributions
Conceptualisation, F.M.; methodology, F.M., M.B., G.C., H.A.M.E., A.D. and T.B.; formal analysis, F.M.; writing—original draft preparation, H.A.M.E., F.M., M.B. and M.P.; writing—review and editing, F.M., F.H. and M.B.; project administration, F.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
The data are contained within this article or Supplementary Materials.
Conflicts of Interest
The authors declare no conflicts of interest.
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