Outcomes and prognostic variables of radiofrequency zygapophyseal joint neurotomy in Utah workers’ compensation patients

Abstract

Purpose

The prevalence of radiofrequency zygapophyseal joint neurotomy (RFN) has increased substantially across the past decade. Limited research exists that has examined pre-procedure predictors of RFN outcomes, particularly within workers’ compensation populations. The purpose of this study was to determine if pre-procedure biopsychosocial variables are predictive of outcomes in a cohort of compensated Utah patients who have undergone RFN.

Patients and methods

This was a retrospective cohort study consisting of a review of pre-procedure medical records and a telephone outcome survey. The sample consisted of 101 compensated workers from Utah who had undergone RFN. Fifty-six patients (55%) responded to the outcome survey. Patients were an average of 46 months post-neurotomy at the time of follow-up. Outcome measures included patient satisfaction, disability status, Roland–Morris Disability Questionnaire, Stauffer–Coventry Index, and Short-Form Health Survey-36 (v.2). Statistical techniques utilized included frequencies, mean comparisons, and logistic and multiple regressions.

Results

Forty percent of patients were totally disabled at the time of follow-up. Lawyer involvement, older age, and a positive history of depression were predictors of poor outcomes in logistic and multiple regression equations.

Conclusion

Presurgical biopsychosocial variables were predictive of multidimensional patient outcomes, and a high rate of total disability was observed. Additional research on the effectiveness of RFN for workers’ compensation patients is recommended.

Keywords:

• radiofrequency denervation
• facet joint
• chronic spine pain
• injured workers
• nonoperative pain treatment

Introduction

The societal, economic, and occupational costs of spine-related pain in industrialized countries have been well documented throughout the spine literature. A national survey from 2002 indicated that low-back pain (LBP) is the most common type of pain reported by adults in the the United States.¹ LBP is estimated to account for between $20 billion and $50 billion in annual spending in the US, placing a substantial burden on the health payer system at all levels.² Moreover, spine-related pain is the most common cause of physical disability and also the most cited reason for filing a workers’ compensation claim.³

According to the criteria established by the International Association for the Study of Pain,⁴ pain originating from the zygapophyseal joints has been implicated in 15–45% of patients with LBP, 36–67% of patients with neck pain, and 34–48% of patients with thoracic pain.^5,6 Degenerative changes in the zygapophyseal joints (in particular osteoarthritis and inflammation) can cause chronic irritation to spinal nerves and result in chronic pain.⁷ Radiofrequency neurotomy (RFN) is a common treatment for zygapophyseal joint-related pain and involves denervating pain-provocating nerves in an attempt to block neural transmission and subsequently provide long-lasting pain relief.⁸ Zygapophyseal joint interventions rank second only to epidural steroid injections as the most commonly used pain management procedure in the US, and there has been more than a 200% increase in utilization in the Medicare population within the last decade.⁹

The overall clinical efficacy of RFN is considered somewhat controversial given a lack of high-quality randomized placebo-controlled trials and somewhat inconsistent findings across several systematic literature reviews.^8,10–14 For example, a recent systematic review by the American Society of Interventional Pain Medicine concluded “good” evidence of lumbar and cervical RFN for short- and long-term pain relief based upon six positive randomized controlled trials (RCTs) and ten positive observational studies.^13,14 Another recent systematic review and meta-analysis of five RCTs determined that lumbar RFN is likely more effective than placebo in terms of pain control and functional improvement, although the overall quality of the studies included in the review was considered “low”, and the authors believed that the results should be interpreted with caution.⁸ Much of the controversy regarding the efficacy of RFN has been perpetuated by two double-blind, placebo-controlled studies showing no or minimal benefit for RFN compared to sham lesioning.^15,16 Several authors have argued that these and other RCTs and observational studies in this area are flawed based upon lack of properly administered pre-procedure diagnostic blocks, improper patient selection, and other critical procedural variations.^{10,13,17–19} More recent studies addressing these very stringent patient selection and technique issues have shown substantially more positive outcomes for lumbar RFN.^17,18 For example, the MacVicar et al study examined 106 patients selected on the basis of complete pain relief following controlled dual medial branch blocks.¹⁸ They determined that 53–58% of patients across two practices achieved successful outcomes (complete pain relief for 6 months, complete restoration of physical activities of daily living, and return to work) after RFN, and these outcomes were maintained across 15 months following the first RFN procedures and 13 months following repeat treatments. Another prospective study of lumbar RFN that utilized very stringent patient selection and technique protocols found that 60% of patients evidenced at least 90% pain relief at 12 months.¹⁹

Given the significant variability in RFN outcomes across many studies, it is important to identify pre-procedure patient risk factors for poor outcomes. It has long been assumed that workers’ compensation patients are typically at a greater risk for poor outcomes across most surgical interventions for chronic pain,^20–22 although this has yet to be established in the case of RFN. Interestingly, only two studies have examined workers’ compensation status with one showing no relationship with RFN outcomes¹⁷ and the other study showing better RFN outcomes in patients receiving compensation.²³ There have also been no published RFN studies that have solely examined compensated patient outcomes. Numerous studies in spine surgery have also consistently found that presurgical psychosocial variables are consistent correlates of outcomes, particularly among compensation patients,^24–28 although this has also not been established in the RFN literature. We are aware of only one observational trial that linked depression with shorter duration of pain relief following RFN.²⁹

This study has three primary purposes: 1) to characterize pre-RFN biopsychosocial patient variables in a sample of worker’s compensation patients who have undergone percutaneous RFN, 2) to characterize patient outcomes associated with RFN, and 3) to determine if presurgical biopsychosocial variables are predictive of outcomes following the procedure.

Materials and methods

Study design

This was a retrospective cohort study consisting of a medical record review to gather pre-procedure patient information and a telephone outcome survey conducted at least 3 months post-procedure. The institutional review board at Utah State University approved this study, and the Workers’ Compensation Fund of Utah (WCFU) provided permission to access patient medical records and contact patients for the follow-up survey. All patients provided verbal informed consent prior to participating in the outcome survey. Strict confidentiality of all patient data was maintained throughout this study.

Patient sample

All patients who had underwent at least one RFN treatment at the cervical, thoracic, or lumbar level and were at least 3 months posttreatment were eligible for inclusion (N = 101). Patients were identified via Current Procedural Terminology codes in WCFU databases. Patients received RFN treatment as a result of a work-related injury and were covered by WCFU for medical and disability costs. WCFU insures approximately 65% of workers within the State of Utah. Patients received their index RFN procedures between August 2008 and February 2009.

Medical record information

The author obtained medical record and compensation data onsite from the WCFU database using a medical chart review form. Categories of information gathered via this form included demographics, general health, surgical history, psychosocial status/history, litigation status, compensation costs, diagnosis and procedure, medication usage, and additionally required pain interventions. Data were coded using a modified medical chart review instrument designed by one of the authors to study lumbar fusion outcomes in a similar workers’ compensation sample.^21,22,25 The coding instrument was adapted to fit the specific purposes of examining correlates and outcomes in RFN. For example, it was important to code the number of diagnostic nerve blocks administered as well as the number and location of coagulated nerves.

Patient outcome survey

The outcome survey consisted of five different measures, the first being a five-item patient satisfaction questionnaire (e.g., whether they would have the procedure again) that has been used in previous research on patients who had underwent compensated lumbar fusion and discectomy.^21,22,25 The Stauffer–Coventry Index (SCI)³⁰ assessed outcomes across four domains (pain relief, employment status, physical limitations, and medication usage). Though never used to assess RFN outcomes, the SCI has been used in previous studies of low-back surgical procedures.^21,22 The Roland–Morris Disability Questionnaire (RMDQ) was used to evaluate dysfunction associated with LBP.³¹ The Short-Form Health Survey-36 (SF-36) (v.2) is a widely used survey of general health that assesses eight dimensions of health-related quality of life, namely, physical functioning, role-physical, bodily pain, general health, vitality, social functioning, role-emotional, and mental health.³² Finally, disability status was assessed via the medical chart review and verified during the telephone survey.

Results

Table 1 displays the demographic and other characteristic information for the 101 patients included in the cohort, of which 74% were male with a mean age of 46.2 years (standard deviation [SD] = 11.74). The average body mass index was 27.64, which places a majority of patients in the overweight category (25.0–29.9). Slightly >37% of patients had undergone at least one back or neck operation (e.g., fusion, discectomy) prior to their first neurotomy. Thirty-six percent of patients had a high school degree/general educational development, and most were nonsmokers (60.4%). A depression diagnosis was reported in over half of the patients (52.5%), and 31.7% had hired a lawyer to represent their compensation claim. All patients received at least one “positive” diagnostic nerve block prior to RFN. Of the 101 blocks, 85 (84.2%) were medial branch blocks, and the remainder (15.8%) involved intra-articular injections. A total of 31 physicians were involved in performing these injections. A number of blockade agents were utilized, with the most prevalent being lidocaine (31%), bupivocaine (24.2%), marcaine (18.0%), and xylocaine (13.9%). Of the total number of patients, 29.7% (30/101) received two diagnostic nerve blocks prior to RFN with 63.3% (19/30) receiving the same anesthetic agent administered in the initial blockade. The criteria for “positive” blockade response varied significantly across practitioners: 15% viewed a 50% pain reduction as positive, 65% viewed >80% pain reduction as positive, and 25% did not report their criteria for positive response in procedure reports. Only 38.6% of patients (29/101) reported a 100% reduction of their pain level after the first blockade versus 26.6% (8/30) in the second blockade. None of the patients received placebo blocks. RFN was performed on the lumbar spine in 70 cases, cervical in 24, thoracic in one, and multiple spine regions in six. A total of 30 physicians performed these procedures. Of the total number of practitioners, 85.4% appeared to use a parallel electrode placement and made at least two lesions in the target nerve. Average heat of the electrode was 77.3°C, and 74.3% of practitioners used 80°C. Average duration of coagulation was 80 seconds (54.8% of the practitioners used 90 seconds, and 29.0% used 60- second duration). In the vast majority of patients, neurotomy procedures targeted more than one vertebral segment, with close to 43% treated at two segments and 45% treated at three or more segments. This was the first neurotomy for 59.4% of patients, whereas 27.7% had a total of two prior, 6.9% had three prior, and another 6.9% underwent four or more prior RFN procedures.

Table 1 Comparisons of select patient variables for respondents versus nonrespondents

Patient variables	Respondents (n = 56)	Nonrespondents (n = 45)	t or chi-square	Effect sizea (SMD/Phi)
	Means or proportion (%)	Means or proportion (%)	p-value
Age	46.95	45.16	0.45	0.14
Body mass index	27.44	27.91	0.71	0.07
Smoking status at the time of neurotomy (% yes)	32.14	48.88	0.09	−0.17
Depression diagnosis (% positive)	50.00	55.56	0.58	−0.06
Case manager (% positive)	51.79	46.67	0.61	0.05
Lawyer involvement (% positive)	28.57	35.56	0.45	−0.08
Prior back/neck surgery			0.53	−0.12
None	60.71	62.22
One	14.29	20.00
Two	12.50	6.67
Three or more	12.50	11.11
Prior WCF claims			0.35	−0.09
None	26.79	35.56
One or more	73.21	64.44
Diagnostic nerve blocks			0.56	−0.06
One	80.36	75.56
Two	19.64	24.44

Notes: Omnibus chi-square = 10.87, df = 9, p = 0.29.

a Effect sizes based upon univariate analyses.

Abbreviations: SMD, standardized mean difference; WCF, Workers’ Compensation Fund.

Follow-up rate and responder versus nonresponder analyses

The overall follow-up rate for the outcome survey was 55.4% (56/101). Comparison of demographic, psychosocial, and medical variables across responders and nonresponders was carried out in an effort to determine if the follow-up sample may have been differentially biased based upon pre-procedural variables. Table 1 presents these analyses. None of these comparisons were statistically significant, and all effect size calculations were small in magnitude. We concluded that the follow-up sample was likely not differentially biased from the nonresponder sample.

Patient satisfaction items

A summary of patient satisfaction frequencies is presented in Table 2. As may be seen, 30.4% of patients felt that the pain was better than they expected following RFN. Of the total number of patients, 62.6% felt that their quality of life had not changed or worsened as a result of RFN. Slightly more than a half (55%) of the patients also indicated that their back/neck/leg pain was either somewhat or much worse than they expected after treatment. Slightly less than a half (44.6%) of the respondents said that they would not choose to undergo RFN again.

Table 2 Patient satisfaction with outcomes of radiofrequency neurotomy

Outcome category	Frequency (n = 56)	%
Back/neck/leg pain after neurotomy
Worse than expected	17	30.4
No worse or better	22	39.2
Better than expected	17	30.4
Quality of life
Great improvement	7	12.5
Moderate improvement	5	8.9
Little improvement	9	16.1
No change	24	42.9
A little worse	3	5.4
Moderately worse	6	10.7
Much worse	2	3.6
Back/neck/leg pain now
Much better	5	8.9
Somewhat better	7	12.5
What I expected	8	14.3
Somewhat worse	14	25.0
Much worse	17	30.4
No expectation	5	8.9
Satisfaction with back/neck condition
Extremely dissatisfied	19	33.9
Very dissatisfied	16	28.6
Somewhat dissatisfied	8	14.3
Neutral	5	8.9
Somewhat satisfied	6	10.7
Very satisfied	1	1.8
Extremely satisfied	1	1.8
Retrospectively, would you choose to have neurotomy done again?
Yes	30	53.6
No	25	44.6
Undecided	1	1.8

Disability status

Of the total number of patients, 39.3% were totally and permanently disabled at the time of follow-up.

Roland–Morris Disability Questionnaire

Patients had an average RMDQ score of 14.39 (SD = 5.66), a figure slightly above the cutoff line for “poor” outcome at 14. Consequently, 64.3% of patient scores were considered high enough to surpass the “poor outcome” threshold.

Stauffer–Coventry Index

Frequencies for the SCI are presented in Table 3. As may be seen, the majority of patients (71.4%) reported poor outcomes (0–25% pain improvement) relative to pain relief following RFN. A majority of patients achieved either good (return to previous work) or fair outcome regarding post-procedure employment status. Thirty-seven percent of patients reported good outcomes in terms of post-procedure physical functioning. The majority of patients (69.6%) were occasionally or regularly using narcotic analgesics to manage pain at the time of follow-up.

Table 3 The Stauffer–Coventry Index outcomes

Category	Pain relief			Employment status			Physical limitations			Medication usage
	Rating	Frequency	%	Rating	Frequency	%	Rating	Frequency	%	Rating	Frequency	%
Good	76–100% improvement	5	8.9	Return to previous status	27	48.2	Minimal restrictions	21	37.5	Occasional or no use of analgesics	9	16.1
Fair	26–75% improvement	11	19.6	Return to lighter work	10	17.9	Moderate restrictions	22	39.3	Regular use of nonnarcotic analgesics	8	14.3
Poor	0–25% improvement	40	71.4	No return to work	19	33.9	Severe restrictions	13	23.2	Occasional or regular use of narcotic analgesics	39	69.6

Short-Form Health Survey-36

Table 4 displays the means and SDs of the SF-36 subscales for this study as well as the norms from the general US population and the norms for patients with back pain/sciatica. Standardized mean difference effect sizes were calculated, and, as may be seen, effect sizes were quite large for comparisons with the US population. This suggests that post-RFN patients rate their quality of life much worse than the typical US population. Effect sizes were also, in most cases, quite large when comparing RFN patients with back pain/sciatic norms as well.

Table 4 SF-36 (v.2) multidimensional health outcomes and comparisons

SF-36 subscale	Neurotomy sample	General populationa	General population	Back pain/sciatica	Back pain/sciatica
	M (SD)	M (SD)	Effect sizeb	M (SD)c	Effect sizeb
Physical functioning	33.9 (12.3)	50.0 (10.0)	−1.6	46.6 (11.3)	−1.1
Role functioning	34.6 (11.8)	50.0 (10.0)	−1.5	46.4 (11.4)	−1.0
Pain severity	34.1 (9.5)	50.0 (10.0)	−1.6	44.6 (9.3)	−1.1
General health	39.1 (10.1)	50.0 (10.0)	−1.1	46.5 (10.6)	−0.7
Vitality	39.9 (11.1)	50.0 (10.0)	−1.0	46.5 (10.2)	−0.6
Social functioning	40.8 (13.6)	50.0 (10.0)	−0.9	46.9 (11.2)	−0.5
Role-emotional functioning	44.4 (11.4)	50.0 (10.0)	−0.6	47.6 (11.3)	−0.3
Mental health functioning	43.9 (12.4)	50.0 (10.0)	−0.6	47.6 (10.9)	−0.3
Physical component summary	32.2 (10.6)	50.0 (10.0)	−1.8	45.6 (10.8)	−1.2
Mental component summary	47.1 (11.7)	50.0 (10.0)	−0.3	47.9 (11.0)	−0.1

Notes: Scores range from 0 to 100. A high score indicates better health status.

a General US adult population; N = 6742.

b Standardized mean difference effect size = difference between means (M) divided by normative sample SD.

c Norms for sample comorbid condition: back pain/sciatica (in the past 6 months) with hypertension; N = 481.

Abbreviations: SF-36, Short-Form Health Survey-36; SD, standard deviation.

Using pre-procedure variables to predict outcomes

Tables 5 and 6 include the zero-order correlations of patient variables with outcome variables. As may be seen, age, history of depression, and lawyer involvement were consistent statistically significant correlates of patient outcomes. Multivariate analyses were used to predict patient outcomes using a five-variable model of pre-procedure risk factors. Table 7 indicates the results of a logistic regression using these variables to predict disability status, a model that was statistically significant (chi-square = 22.79, p < 0.001). Patient age and lawyer involvement in the compensation claim both had Wald values that were statistically significant in the model. The overall hit rate for the model was 80.4%, with specific hit rates of 85.3% for predicting nondisabled patients and 72.7% for predicting disabled patients at follow-up.

Table 5 Correlations of pre-neurotomy variables with outcome variables

Patient variable	SCI: pain relief	SCI: return to work status	SCI: physical restrictions	SCI: pain medications	Outcome variablesa	Disability status
Age	0.12	0.24	0.40*	−0.13	0.22	0.36*
Body mass index	−0.25	0.14	0.10	−0.16	0.10	0.08
Smoking	−0.02	0.02	−0.02	0.12	0.22	0.15
History of depression	−0.14	0.20	0.28*	0.38*	0.38*	0.29*
Case manager assigned	−0.06	0.09	0.01	0.12	0.09	0.04
Lawyer involvement	−0.06	0.45*	0.32*	0.28*	0.54*	0.46*
Prior back/neck surgery	0.13	−0.01	0.26*	0.13	0.13	0.33*
Prior WCF claims	−0.04	−0.01	−0.06	0.04	0.04	0.06
Diagnostic nerve blocks	0.01	0.03	−0.32*	−0.29*	−0.19	−0.21

Notes:

a Higher scores equate to worse outcomes/functioning.

* p ≤ 0.05.

Abbreviations: SCI, Stauffer–Coventry Index; WCF, Workers’ Compensation Fund.

Table 6 Correlations of pre-neurotomy variables with SF-36 subscales and composite scales

Patient variable	SF-36 subscalea
	PF	RP	BP	GH	VT	SF	RE	MH	PCS	MCS
Age	−0.34*	−0.27	−0.11	−0.09	−0.16	−0.14	−0.03	0.02	−0.33*	0.04
Body mass index	−0.24	−0.05	−0.10	−0.13	−0.09	−0.14	0.03	−0.13	−0.17	−0.05
Smoking	−0.13	−0.26	−0.12	0.09	0.07	−0.23	−0.19	−0.26	−0.07	−0.20
History of depression	−0.39*	−0.47*	−0.48*	−0.09	−0.37*	−0.43*	−0.59*	−0.32*	−0.33*	−0.44*
Case manager assigned	−0.12	0.00	−0.14	−0.03	−0.13	0.05	−0.10	−0.05	−0.08	−0.04
Lawyer involvement	−0.48*	−0.47*	−0.48*	−0.26	−0.41*	−0.41*	−0.44*	−0.38*	−0.44*	−0.39*
Prior back/neck surgery	−0.17	−0.13	−0.05	−0.01	−0.34*	0.16	0.04	0.01	−0.18	0.06
Prior WCF claims	−0.09	−0.15	−0.22	0.04	−0.06	−0.06	0.00	−0.14	−0.12	−0.05
Diagnostic nerve blocks	0.21	0.17	0.12	0.10	0.20	0.19	0.21	0.29*	0.11	0.26

Notes:

a Higher scores equate to better outcomes/functioning.

* p ≤ 0.05.

Abbreviations: SF-36, Short-Form Health Survey-36; PF, physical functioning; RP, role-physical; BP, bodily pain; GH, general health; VT, vitality; SF, social functioning; RE, role-emotional; MH, mental health; PCS, physical component summary; MCS, mental component summary; WCF, Workers’ Compensation Fund.

Table 7 Logistic regression equation predicting disability status with five pre-neurotomy variables as predictors

Variable	β	Wald	p-value	Exp (B)	95% CI
Age	0.07	4.44	0.04	1.08	1.01–1.15
Depression	0.61	0.53	0.47	1.84	0.36–9.43
Lawyer involvement	2.09	5.80	0.02	8.05	1.47–43.90
Prior back/neck surgery	0.25	0.77	0.38	1.29	0.73–2.25
Prior WCF claims	0.13	2.61	0.11	1.14	0.97–1.35
Constant	−7.77	11.45		0.01

Note: Omnibus chi-square = 22.79, df = 5, p ≤ 0.001.

Abbreviations: CI, confidence interval; WCF, Workers’ Compensation Fund.

The remaining analyses in the current study used simultaneous-entry multiple regression and the five-variable model mentioned above to predict multidimensional physical and mental health outcomes via the summary and subscale scores of the SF-36 (v.2). The regression model predicting the SF-36 physical component summary (PCS) score is contained in Table 8. As may be seen, the overall model was statistically significant (F = 4.85, p ≤ 0.001) and resulted in an R² of 0.327. Age and lawyer involvement were both statistically significant predictors of PCS scores. The regression model predicting the mental component summary score is presented in Table 9. As may be seen, the overall model was statistically significant (F = 3.92, p ≤ 0.01) with an R² of 0.282 with depression being the only statistically significant predictor in this model. In summary, age and lawyer involvement appeared to be the most robust predictors across the models.

Table 8 Simultaneous-entry multiple regression model predicting the SF-36 (v.2) physical component summary score

Variable	Coefficients
	Unstandardized		Standardized
	β	SE	β	p
Age	−0.258	0.107	−0.315	0.019
Depression	−3.958	2.944	−0.189	0.185
Lawyer involvement	−7.855	3.183	−0.340	0.017
Prior back/neck surgery	0.398	1.000	0.054	0.693
Prior WCF claims	−0.485	0.309	−0.189	0.123
Constant	57.899	7.610

Note: Model summary: p ≤ 0.001, R = 0.572, R² = 0.327, adjusted R² = 0.259.

Abbreviations: SF-36, Short-Form Health Survey-36; SE, standard error; WCF, Workers’ Compensation Fund.

Table 9 Simultaneous-entry multiple regression model predicting the SF-36 (v.2) mental component summary score

Variable	Coefficients
	Unstandardized		Standardized
	β	SE	β	p
Age	−0.020	0.122	−0.022	0.869
Depression	−8.898	3.379	−0.383	0.011
Lawyer involvement	−6.642	3.653	−0.258	0.075
Prior back/neck surgery	1.859	1.148	0.226	0.112
Prior WCF claims	−0.135	0.355	−0.047	0.705
Constant	59.882	6.805

Note: Model summary: p ≤ 0.01, R = 0.531, R² = 0.282, adjusted R² = 0.210.

Abbreviations: SF-36, Short-Form Health Survey-36; SE, standard error; WCF, Workers’ Compensation Fund.

Discussion

The current study examined RFN outcomes and pre-procedure predictors of outcomes in Utah workers via a retrospective cohort design. The total disability rate for RFN patients was 39%, and 30.4% of patients felt that their pain level after neurotomy was better than expected. Thirty-seven percent of patients felt that their quality of life had improved following RFN. In general, patient outcomes in this study appeared significantly worse than in many prior RFN studies, and this is likely in part due to problematic patient selection and technique issues. The current study also demonstrated that pre-procedure psychological factors (positive history of depression), social factors (lawyer involvement in compensation case), and biological factors (i.e., increased age) were all predictive of poor RFN outcomes. This supports the use of a biopsychosocial perspective in conceptualizing RFN patients. It also points to the potential utility of using pre-procedure variables in assisting with identification of patients likely to have a poor response to RFN treatment.

One variable that proved to be a consistent predictor of outcomes is lawyer involvement in a patient’s compensation claim. Retaining an attorney was associated with over 7 times the odds of post-surgical disability and was also consistently associated with greater functional impairment, more physical disability, increased bodily pain, and less vitality. Considering that this association has been seen in other studies of compensated patients receiving lumbar fusion and discectomy,^{21,22,27,28,33} there is clear impetus to investigate what aspects of litigation may be influencing the outcomes of spine patients. It may be that the process of utilizing a lawyer creates incentives for maintaining a disabled role.

We are aware of only one other study that found pre-procedure depression to be a predictor of RFN outcomes,²⁹ although this has been a consistent finding in the spine surgery literature.^21,22,24,26 Although the precise mechanism of how depression negatively influences outcomes is unknown, we believe that depression likely exacerbates patients’ pain experiences and also negatively influences expectations for recovery following medical interventions, and these issues in turn lead to chronicity.

This study conforms to recommendations by some researchers to increase the use of standardized measures across a broad array of multidimensional spine patient outcomes.³⁴ This practice facilitates comparisons across other procedures that have used similar methods. Indeed, it was somewhat surprising that compared to compensated fusion and discectomy patients from Utah, the current sample showed poorer back/neck-specific functional impairments, higher levels of pain, and worse perceptions of their physical health.^{21,22,25,27,28} Such differences might be potentially explained by pre-intervention characteristic differences across these studies. For example, the mean age and rates of depression were somewhat higher in this study, and these are consistent predictors of worse outcomes across studies of compensated Utah patients. The course of zygapophyseal joint-related pain may also be chronic and progressive, and RFN is a time-limited solution that needs to be repeated for ongoing efficacy.

This study provides a reasonably “real-world” description of both RFN patient selection procedures and outcomes within a compensation sample from the State of Utah. Interestingly, it is clear that the “gold standard” of patients receiving two “positive” pre-RFN diagnostic nerve blocks was only evident in 29.7% of this particular sample. The majority of patients (70.3%) only received a single positive diagnostic block prior to RFN. Further, the criteria for defining “positive” blockade response varied significantly across practitioners: 15% viewed a 50% pain reduction as positive, 65% viewed >80% pain reduction as positive, and 25% did not report their criteria for positive response in procedure reports. Given these data, there are likely several patients in this sample who did not meet the diagnostic criteria for zygapophyseal joint-related pain, and thus, some of the poor patient outcomes may be explained on this basis. However, we did code the blockade variable (1 = one nerve block; 2 = two nerve blocks) and examined its correlation with both pre-intervention and outcome variables in this study. The blockade variable was not statistically significantly associated with any of the pre-intervention variables. Of the 16 possible correlations, only three were statistically significant: SCI physical restrictions (r = − 0.32, p < 0.05), SCI pain medication use (r = − 0.29, p < 0.05), and the SF-36 mental health subscale (r = 0.29, p < 0.05). By way of interpretation, the presence of two positive nerve blocks was associated with less SCI physical restrictions, less pain medication usage, and greater SF-36 mental health functioning at post-procedure. These analyses suggest that the presence of one versus two pre-procedural positive nerve blocks was not differentially predictive of the majority of outcomes in our sample. Clearly, there is a disconnection between recommended RFN treatment guidelines and practice patterns in Utah, and this may be an issue across other states as well. Indeed, the predictive efficacy of utilizing dual diagnostic blocks (versus zero or one) in RFN is currently controversial as evidenced by the only RCT conducted on this matter.³⁵ This study found that RFN patients who underwent no medial branch nerve blockade prior to RFN (compared to single or dual blocks) sustained the best outcomes.

Perhaps, the greatest limitation to this study is its retrospective design. Without a control group, it was not possible to make assertions about the clinical efficacy of the RFN procedure on injured workers. Certainly, changes in patient outcomes due to natural history, regression to the mean, and/or placebo effects could not be ruled out given this study design.³⁶ Moreover, this design did not allow for careful control of pre-procedure diagnostic blocks or procedural technique, both factors clearly associated with RFN outcomes. Another limitation was the response rate of participants. Of the 101 patients in the study, 56 completed the telephone survey resulting in an overall response rate of 55.4%. It is important to note that 34 participants could not be reached due to outdated contact information, which was likely linked to the fact that a large number of compensation claims were closed (42) at the time of follow-up. Claims that are closed are no longer being tracked by the WCFU, and therefore, personal contact information is not kept up to date. This, in turn, leads to the possibility that the large number of open cases created a more negatively biased patient sample, as open cases are indicative of ongoing patient disability. Another clear limitation of this study is generalizability of findings to other states and the US population. It may be that Utah’s compensation system is unique in terms of approving such procedures, and this may have differentially influenced outcomes and predictors. It would be prudent to replicate this study across other states in order to determine if practice patterns, outcomes, and predictors of RFN remain consistent.

Conclusion

This is one of the first studies to examine outcomes and predictive correlates of RFN in a workers’ compensation sample. The results suggest that a substantial number of patients experienced poor outcomes following RFN, and at least some of this variability can be explained on the basis of pre-procedure biopsychosocial variables.

Disclosure

The authors report no conflicts of interest in this work.