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Record W4413215411 · doi:10.4103/ija.ija_448_25

Outcome and predictors of knee radiofrequency ablation for chronic pain relief: A retrospective cohort study

2025· article· en· W4413215411 on OpenAlexaff
Harsha Shanthanna, Maram Khaled, Daisy Rosenblood

Bibliographic record

VenueIndian Journal of Anaesthesia · 2025
Typearticle
Languageen
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsUniversity of WaterlooPopulation Health Research InstituteMcMaster UniversityQueen's UniversityImpact
Fundersnot available
KeywordsMedicineRetrospective cohort studyRadiofrequency ablationCohortAblationOutcome (game theory)Pain reliefPhysical therapySurgeryInternal medicine

Abstract

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INTRODUCTION Knee osteoarthritis is the leading cause of chronic knee pain, with a global prevalence of 22.9% in individuals aged >40 years.[1] The majority of patients may not find satisfactory pain relief with conservative options.[2] Radiofrequency ablation (RFA) of genicular nerves is considered an alternative option, providing a longer duration of relief with low risk.[3] Most studies have targeted three nerves – the superior medial genicular nerve (SMGN), inferomedial genicular nerve (IMGN), and superior lateral genicular nerve (SLGN) – with few studies suggesting higher effectiveness with the inclusion of additional nerves.[3] The primary objectives were to assess the rate and factors associated with successful pain relief after genicular nerve RFA. We also evaluated the rate of false-positive genicular nerve blockade (GNB) and the rate of patients with discordant prolonged pain relief with GNB. METHODS This retrospective study was approved by the Hamilton Integrated Research Ethics Board (#2024-17799-C, 21 October 2024). The study was conducted in accordance with the principles of the Declaration of Helsinki (2013) and the Good Clinical Practice guidelines. Being retrospective, the need for written informed consent was waived. Patients who underwent RFA by a single physician from 1 July 2022 to 28 June 2024 were included. Patients were excluded if they had surgically correctable reasons for knee pain (such as meniscal injuries), ongoing infection, bleeding disorders, or severe anxiety about the procedures. After procedural consent, a prognostic GNB was performed under ultrasound guidance without any sedation using a 25-G hypodermic needle, with 0.5–1 mL of 0.5% bupivacaine administered at each site. Outcome of the GNB was discussed and recorded during a telephone follow-up in the next 1–2 weeks. Patients were categorised as positive (>50% relief lasting 10 h or less), negative (<50% relief), and positive discordant prolonged (>50% relief lasting beyond the day of blockade). Patients with positive relief underwent genicular nerve RFA in the operating room under fluoroscopy using 18-G RF needles. We identified three targets for RFA treatment: SMGN, IMGN, and SLGN. A fourth target for the inferior lateral genicular nerve was added in patients with pain involving the inferolateral area [Figure 1].[4] Outcomes of RFA (including RFA success defined as >50% pain relief between 2–4 months) were noted during a follow-up, arranged within the next 2–4 months.Figure 1: Radiofrequency needles placed for ablation of knee genicular nerves. (a) Targeting the superior medial and superior lateral genicular nerves; (b) Targeting the inferomedial and inferolateral genicular nerves. ILGN = Inferolateral genicular nerves; IMGN = Inferomedial genicular nerves; SLGN = Superior lateral genicular nerves; SMGN = Superior medial genicular nervesStudy data were extracted from the hospital electronic medical record system. This included demographic details, including age, gender, obesity, details of chronic knee pain (including side, location, severity of knee osteoarthritis using knee radiographs in the past 12 months), history of previous surgeries, response to oral analgesics (> or <50% pain relief), response to intraarticular steroid (> or <50% pain relief), presence of other chronic pain conditions, and history of opioid use. Extracted data were compiled in a REDCap study database for safe storage and analysis. We hypothesised that obesity, history of previous surgery, and negative or discordant prolonged response to GNB would predict failures. The sample size was estimated based on the number of predictor variables. With an expected success rate of 60%, 75 genicular RFA procedures would result in approximately 30 failed procedures, allowing for the testing of four variables in a multivariable regression model.[5] All statistical analyses were performed in SAS version 9.4 (SAS Institute Inc., Cary, NC, USA). Patient characteristics, baseline information, and the outcomes of interest were summarised using descriptive measures. Study outcomes were reported as rates (%) with 95% confidence intervals (CIs), and statistical significance was considered using a two-sided test with P < 0.05. Factors affecting success were explored using univariate regression analysis, and if P < 0.1, considered for multivariable regression. RESULTS A total of 73 knee joints, involving 66 patients (seven patients had both knees treated separately during the study period), were included. Baseline variables, characteristics of chronic knee pain, analgesic use, and previous injections are noted in Table 1. Among 73 knee joints, 13 had RFA of IFGN in addition to SMGN, IMGN, and SLGN. The majority (50%) had medial compartment pain, with 90% having Grade 3 or 4 osteoarthritis. Only a minority reported meaningful response with oral analgesics or previous injections of intra-articular steroid or viscous supplementation. Study outcomes are summarised in Table 2. Among patients with positive GNB, a majority had a prolonged response lasting from more than a day to nearly a month. Among the predictor variables, except for severe pre-procedure knee pain (≥8/10 on a numeric rating scale) and a history of previous total knee replacement, none crossed the threshold of P < 0.1; hence, an adjusted regression analysis was not carried out. We did not observe any serious complications among our patients.Table 1: Patient demographics and knee pain characteristicsTable 2: Study outcomes including potential predictors of knee radiofrequency ablationDISCUSSION Our cohort study of genicular nerve RFA showed a success rate of 64% among older patients with chronic knee pain due to moderate-to-severe osteoarthritis. GNB was false positive in 34% and discordantly prolonged in 57%. In univariate analysis, only severe pre-procedure pain was associated with lower odds of treatment success. Our results are comparable to those of Choi et al.,[6] as well as recent reports from real-world settings.[7,8] Although obesity, disease severity, and discordant or marginal pain relief with GNB may be associated with failure, we did not observe any such association. Very few studies have evaluated important prognostic factors. Chen et al.[8] observed increased chances of success (>30% relief) with obesity, not being depressed or on opioids, multiple lesions per nerve, and use of cooled RFA. Patients with >80% relief with prognostic blocks also showed increased success with their unadjusted analysis. Caragea et al. noted that only the severity of osteoarthritis predicted success as defined by >50% pain relief.[7] A recent review noted varying success rates based on limited studies.[9] Emerging evidence seems to indicate that the prognostic value of GNB is limited, and it is best to select patients with severe osteoarthritis and no pre-existing anxiety and depression. As targets, one should consider additional nerves based on pain distribution, in addition to the conventional three nerves. Our study is limited by the available data routinely collected in patients’ charts, apart from potential biases inherent to the study design. We suggest longer follow-up, more objective measures of success, and evaluation of psychosocial factors as predictors of treatment success for future studies. CONCLUSION Radiofrequency ablation of the genicular nerves can lead to successful relief of chronic knee pain in two-thirds of patients. Study data availability De-identified data may be requested, with reasonable justification, from the authors (email to the corresponding author) and shall be shared upon request. Authors contributions HS: Study concept, study methods, writing of manuscript, overall supervision and study integrity MK: Study concept, protocol drafting, study analysis, manuscript writing DR: Study methods, data extraction, study manuscript AD: Study methods, data extraction, study manuscript. Disclosure of use of artificial intelligence (AI)-assistive or generative tools The authors confirm that no AI tools or language models (LLMs) were used in the writing or editing of the manuscript. Declaration of use of permitted tools The scales, scores, figures, and tables are not copyrighted. Presentation at conferences/CMEs and abstract publication Nil. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.294
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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