| Literature DB >> 26504407 |
Jeffrey T Loh1, Andrea L Nicol1, David Elashoff2, F Michael Ferrante1.
Abstract
BACKGROUND: Many studies have assessed the efficacy of radiofrequency ablation to denervate the facet joint as an interventional means of treating axial low-back pain. In these studies, varying procedural techniques were utilized to ablate the nerves that innervate the facet joints. To date, no comparison studies have been performed to suggest superiority of one technique or even compare the prevalence of side effects and complications.Entities:
Keywords: interventional pain management; low-back pain; lumbar facet arthropathy; radiofrequency ablation
Year: 2015 PMID: 26504407 PMCID: PMC4605254 DOI: 10.2147/JPR.S84913
Source DB: PubMed Journal: J Pain Res ISSN: 1178-7090 Impact factor: 3.133
Demographic data comparing the Advanced Australian and the Early Australian techniques
| Advanced Australian technique (82) | Early Australian technique (241) | |||
|---|---|---|---|---|
| Ethnicity (n [%]) | Caucasian | 50 (61.0%) | 185 (76.8%) | 0.01 |
| African-American | 4 (4.9%) | 22 (9.1%) | ||
| Asian | 16 (19.5%) | 3 (1.2%) | ||
| Hispanic | 7 (8.5%) | 24 (10.0%) | ||
| Middle eastern | 5 (6.1%) | 7 (2.9%) | ||
| Sex (n [%]) | Male | 34 (41.5%) | 87 (36.1%) | 0.39 |
| Female | 48 (58.5%) | 154 (63.9%) | ||
| Mean age | Years (standard deviation) | 57.8 (15.9) | 60.5 (15.0) | 0.17 |
Analysis of primary and secondary outcome measures
| Advanced Australian technique (82) | Early Australian technique (241) | |||
|---|---|---|---|---|
| VNS data | Preablation Mean VNS | 6.45 (1.77) | 6.55 (1.78) | 0.72 |
| Preablation Median VNS | 7 (5–8) | 7 (5–8) | ||
| Postablation Mean VNS | 3.64 (2.41) | 4.27 (2.71) | 0.06 | |
| Postablation Median VNS | 3.75 (1.75–5) | 4 (2–6) | ||
| Mean VNS difference | 2.82 (2.30) | 2.28 (2.54) | 0.08 | |
| Median VNS difference | 3 (1–6) | 2.5 (0–6) | ||
| Benefit (n [%]) | Yes | 70 (85.4%) | 170 (70.5%) | 0.012 |
| Relief | Median duration (months) | 4.0 (2,6) | 1.5 (1,2) | 0.022 |
| Complications (n [%]) | All complications (events) | 8 (9.8%) | 16 (6.6%) | 0.37 |
| Neuritis (events) | 3 (3.7%) | 6 (2.5%) | 0.58 | |
| Follow-up procedure (n [%]) | Yes | 27 (32.9%) | 67 (27.8%) | 0.38 |
Notes:
A t-test analysis was used to compare pre- and postablation VNS score changes, as well as VNS score differences between the advanced Australian and early Australian techniques;
benefit reported between the advanced Australian and early Australian groups assessed using χ2 analysis;
duration of relief between the two treatment groups assessed using log-rank analysis;
comparison of complications and need for follow-up procedures was assessed using χ2 analysis.
Abbreviation: VNS, visual numeric scale.
Figure 1Kaplan–Meier curve showing failure rate over time in months between the advanced Australian and early Australian groups.
Note: A statistically significant difference between the two groups was determined based on a P-value of 0.022 calculated using a log-rank test.
Cox proportional hazard analysis for individual variables and their effect on recurrence of patient pain
| Factors | Category | Hazard ratio (95% confidence interval) | |
|---|---|---|---|
| Age (years) | 1.00 (0.99, 1.01) | 0.77 | |
| Sex (male) | Male | 0.99 (0.87, 1.13) | 0.91 |
| Ethnicity (Caucasian) | Caucasian | 0.96 (0.84, 1.11) | 0.55 |
| Treatment group | Advanced | 0.83 (0.71, 0.96) | 0.01 |
| (Advanced Australian) | Australian | ||
| Preablation VNS | 1.04 (0.97, 1.12) | 0.25 | |
| Pain medication (No) | No | 0.91 (0.78, 1.06) | 0.23 |
Abbreviation: VNS, visual numeric scale.
Linear regression model with postablation VNS pain score as the outcome measure
| Factors | Coefficient | |
|---|---|---|
| Age (years) | 0.02 (0.01) | 0.08 |
| Sex (male) | −0.31 (0.15) | 0.03 |
| Preablation VNS | 0.58 (0.08) | <0.01 |
| Pain-medication use (n) | −0.41 (0.17) | 0.02 |
| Treatment group (Advanced | −0.20 (0.17) | 0.22 |
| Australian) |
Abbreviation: VNS, visual numeric scale.
Logistic regression model with patient self-reported procedural benefit as the outcome measure
| Factors | Odds ratio (95% confidence interval) | |
|---|---|---|
| Age (Years) | 1.02 (1.00, 1.04) | 0.04 |
| Group (Advanced Australian) | 1.46 (1.04, 2.06) | 0.03 |
Figure 2Logistic regression receiver operating characteristic curve. Area under the curve calculated to be 0.6138.
Notes: The gray line is the control line for uniformative ROC curve. The blue line represents the ROC curve for predictive value of our logistic regression model.