Characterizing the Risk of Long-Term Opioid Utilization in Patients Undergoing Lumbar Spine Surgery

Influence of Anxiety and Depression on Opioid Use After Cervical Spine Fusion: An Analysis of a National Claims Database

Patients with spine pathology demonstrate an above average rate of active psychiatric disorders, which can influence their recovery. This study was designed to understand how mental health diagnoses (ie, anxiety and depression) influence a patient's postoperative need for opioids after a single level cervical spine fusion. The PearlDiver database was used to identify patients. Patients were placed into one of four groups: those with a diagnosis of depression, those with a diagnosis of anxiety, those with a diagnosis of both anxiety and depression, and a control group. Chi-square tests were used to assess differences in the number of patients filling initial and additional opioid prescriptions for up to 90 days after their fusion. A total of 168,967 patients who underwent an elective cervical spine fusion in the United States between 2010 and 2021 were included in this study. The control group filled significantly more opioid prescriptions within the first 90 days after their cervical fusion (P<.001). There was no difference among the study groups regarding the need to fill additional opioid prescriptions. Patients with a diagnosis of depression and/or anxiety may present as complex patients; however, results suggest they do not need additional opioids for pain control after a single level cervical spine fusion. [Orthopedics. 2024;47(2):89-94.].

Influence of Anxiety and Depression on Opioid Use Following Lumbar Spine Fusion: A Large Database Study

STUDY DESIGN

Retrospective database.

OBJECTIVE

The purpose of this study was to understand how a mental health disorder, specifically anxiety and depression, influences a patient's postoperative opioid needs following single-level lumbar spine fusion.

SUMMARY OF BACKGROUND DATA

Patients with spine pathology commonly demonstrate symptoms of an active psychiatric disorder. Mental health significantly influences how a patient perceives pain and a patient's opioid pain control needs after surgery.

MATERIALS AND METHODS

The Pearldiver Patient Claims Database was used to identify patients undergoing single-level posterior spine fusion within the United States between 2010 and 2020. Patients were placed into 1 of 4 groups: those with a diagnosis of depression, those with a diagnosis of anxiety, those with a diagnosis of both anxiety and depression, and a control group. χ 2 tests were used to assess differences in the number of patients filling initial and additional opioid prescriptions for up to 90 days following their fusion.

RESULTS

The control group filled significantly more initial opioid prescriptions within the first 90 days following their spine fusion ( P <0.001). However, there was no difference among the study groups in regard to the additional need for prescriptions.

CONCLUSION

Patients with mental health diagnoses may present as complex patients to spine surgeons; however, this study suggests they do not require additional opioid pain control following a single-level lumbar fusion.

The impact of perioperative opioid use on postoperative outcomes following spinal surgery: a meta-analysis of 60 cohort studies with 13 million participants

BACKGROUND CONTEXT

An important factor for the prognosis of spinal surgery is the perioperative use of opioids. However, the relationship is not clear.

PURPOSE

The purpose of this study was to evaluate the effect of perioperative opioid use on the prognosis of patients following spinal surgery.

STUDY DESIGN/SETTING

Systematic review and meta-analysis.

OUTCOME MEASURES

A meta-analysis was conducted using the random-effects method to calculate pooled odds ratios (ORs) with 95% confidence intervals (CIs).

METHODS

The PubMed, Embase, and Cochrane Library databases were systematically searched to find relevant articles that were published until September 2, 2022. The primary outcome was prolonged postoperative opioid use, and secondary outcomes included the length of stay (LOS), reoperation, the time to return to work (RTW), postoperative complications, gastrointestinal complications, new permanent disability, central nervous system events and infection. In addition, subgroup analysis of the primary outcome was conducted to explore the main sources of heterogeneity, and sensitivity analysis of all outcomes was performed to evaluate the stability of the results.

RESULTS

A total of 60 cohort studies involving 13,219,228 individuals met the inclusion criteria. Meta-analysis showed that perioperative opioid use was specifically related to prolonged postoperative opioid use (OR 6.91, 95% CI 6.09 to 7.84, p<.01). Furthermore, the results also showed that perioperative opioid use was significantly associated with prolonged LOS (OR 1.74, 95% CI 1.39 to 2.18, p<.01), postoperative complications (OR 1.72, 95% CI 1.26 to 2.36, p<.01), reoperation (OR 2.38, 95% CI 1.85 to 3.07, p<.01), the time to RTW (OR 0.45, 95% CI 0.39 to 0.52, p<.01), gastrointestinal complications (OR 1.39, 95% CI 1.30 to 1.48, p<.01), central nervous system events (OR 1.99, 95% CI 1.21 to 3.27, p=.07) and infection (OR 1.22, 95% CI 1.09 to 1.36, p=.01). These results were corroborated by the trim-and-fill procedure and leave-one-out sensitivity analyses.

CONCLUSIONS

Based on the current evidence, patients with perioperative opioid use, in comparison to controls, appear to have prolonged postoperative opioid use, which may increase the risk of poor outcomes including prolonged LOS, complications, reoperation, RTW and so on. However, these results must be carefully interpreted as the number of studies included was small and the studies were statistically heterogeneous. These findings may help clinicians to realize the harmfulness of perioperative use of opioids, reduce the use of prescription opioids, necessarily withdraw before operation or significantly wean to the lowest tolerable preoperative amount, and provide some inspiration for standardizing the use of opioids in the future.

Preoperative Opioid Prescribers and Lumbar Fusion: Their Effect on Clinical Outcomes and Postoperative Opioid Usage

STUDY DESIGN

Retrospective cohort study.

OBJECTIVE

To determine the impact of multiple preoperative opioid prescribers on postoperative patient opioid usage and patient-reported outcome measures after single-level lumbar fusion.

SUMMARY OF BACKGROUND DATA

Prior literature has identified opioid prescriptions from multiple postoperative providers increase opioid usage rates. However, there is limited evidence on how multiple preoperative opioid prescribers affect postoperative opioid usage or clinical outcomes after a single-level lumbar fusion.

PATIENTS AND METHODS

A retrospective review of single-level transforaminal lumbar interbody fusion or posterolateral lumbar fusions between September 2017 and February 2020 at a single academic institution was performed. Patients were excluded if they were not identifiable in our state's prescription drug-monitoring program. Univariate comparisons and regression analyses identified factors associated with postoperative clinical outcomes and opioid usage.

RESULTS

Of 239 patients, 160 (66.9%) had one or fewer preoperative prescribers and 79 (33.1%) had >1 prescribers. On regression analysis, the presence of multiple preoperative prescribers was an independent predictor of increased improvement in Visual Analog Scale (∆VAS) Back (β=-1.61, P =0.012) and the involvement of a nonoperative spine provider was an independent predictor of increased improvement in ∆VAS Leg (β = -1.53, P = 0.034). Multiple preoperative opioid prescribers correlated with an increase in opioid prescriptions postoperatively (β = 0.26, P = 0.014), but it did not significantly affect the amount of morphine milligram equivalents prescribed (β = -48.79, P = 0.146). A greater number of preoperative opioid prescriptions predicted worse improvements in VAS Back, VAS Leg, and Oswestry Disability Index and predicted increased postoperative opioid prescriptions, prescribers, and morphine milligram equivalents.

CONCLUSIONS

Multiple preoperative opioid prescribers predicted increased improvement in postoperative back pain, whereas preoperative involvement of a nonoperative spine provider predicted improvements in leg pain after surgery. The number of preoperative opioid prescriptions was a better metric for predicting poor postoperative outcomes and increased opioid consumption compared with the number of preoperative opioid prescribers.

Comparison of Opioid Consumption Patterns of Three Interbody Fusion Surgical Techniques

STUDY DESIGN

Retrospective review.

OBJECTIVES

With increased awareness of the opioid crisis in spine surgery, the focus postoperatively has shifted to managing surgical site pain while minimizing opioid use. Numerous studies have compared outcomes and fusion status of different interbody fusion techniques; however, there is limited literature evaluating opioid consumption postoperatively between techniques. The aim of this study was to assess in-house and postoperative opioid consumption across 3 surgical techniques.

METHODS

Patients were stratified by technique: posterior lumbar interbody fusion (PLIF), minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF), and cortical screw (CS) instrumentation with interbody fusion. Age, ASA, BMI, depression, preoperative opioid use, EBL, and OR time were recorded and compared across surgical groups using Welch's ANOVA and chi-square analysis. Total morphine equivalent dose (MED) was tabulated for both in-house consumption and postoperative prescriptions and was compared across surgical techniques using Welch's ANOVA analysis, Mann Whitney U tests, and linear regression.

RESULTS

Two hundred and thirty nine patients underwent one- or two-level posterior lumbar interbody fusion between 2016 and 2020. One hundred and twenty one patients underwent CS instrumentation, 95 underwent PLIF, and 83 underwent MIS-TLIF. There was a significantly higher percentage of patients who had a history of depression and preoperative opioid consumption in the CS group (P = .001, P = .009). CS instrumentation required significantly less total post-op opioids per kilogram bodyweight compared to MIS-TLIF and PLIF surgeries (P = .029).

CONCLUSIONS

Patients who underwent CS instrumentation required less opioids postoperatively. CS instrumentation may be associated with less postoperative pain due to the less invasive approach, however, patient education and prescriber practice also play a role in postoperative opioid consumption.

Perioperative Factors Associated With Chronic Opioid Use After Spine Surgery

STUDY DESIGN

Retrospective case control.

OBJECTIVES

The purpose of the current study is to determine risk factors associated with chronic opioid use after spine surgery.

METHODS

In our single institution retrospective study, 1,299 patients undergoing elective spine surgery at a tertiary academic medical center between January 2010 and August 2017 were enrolled into a prospectively collected registry. Patients were dichotomized based on renewal of, or active opioid prescription at 3-mo and 12-mo postoperatively. The primary outcome measures were risk factors for opioid renewal 3-months and 12-months postoperatively. These primarily included demographic characteristics, operative variables, and in-hospital opioid consumption via morphine milligram equivalence (MME). At the 3-month and 12-month periods, we analyzed the aforementioned covariates with multivariate followed by bivariate regression analyses.

RESULTS

Multivariate and bivariate analyses revealed that script renewal at 3 months was associated with black race (P = 0.001), preoperative narcotic (P < 0.001) or anxiety/depression medication use (P = 0.002), and intraoperative long lumbar (P < 0.001) or thoracic spine surgery (P < 0.001). Lower patient income was also a risk factor for script renewal (P = 0.01). Script renewal at 12 months was associated with younger age (P = 0.006), preoperative narcotics use (P = 0.001), and ≥4 levels of lumbar fusion (P < 0.001). Renewals at 3-mo and 12-mo had no association with MME given during the hospital stay or with the usage of PCA (P > 0.05).

CONCLUSION

The current study describes multiple patient-level factors associated with chronic opioid use. Notably, no metric of perioperative opioid utilization was directly associated with chronic opioid use after multivariate analysis.

Preoperative ODI and Intake of Analgesics Predict Outcome after Lumbar Microdiskectomy: Results from a Prospective Register

BACKGROUND

 Lumbar disk herniation (LDH) typically causes leg pain and neurologic deficits, but can also be a source of low back pain (LBP). Lumbar microdiskectomy (LMD) is among the most common neurosurgical procedures to relieve radicular symptoms. It is important for both surgeon and patient to understand potential predictors of outcome after LMD. The aim of this study was to investigate if the presence and intensity of preoperative LBP, the ODI score, and analgesic intake can predict the outcome of patients undergoing LMD.

METHODS

 This is a single-center retrospective study based on the analysis of prospectively acquired data of patients in the SwissDisc Registry. A total of 685 surgeries on 640 patients who underwent standardized LMD at our institution to treat LDH were included in this study. We performed multivariable linear regression analysis to determine preoperative predictors for patient outcomes based on the Oswestry Disability Index (ODI) scores, recorded on average 39.77 (±33.77) days after surgery.

RESULTS

 Our study confirmed that surgery overall improves patient degree of disability as measured by ODI score. Following model selection using Aikake Information Criterion (AIC), we observed that higher preoperative ODI scores (β: 0.020 [95% CI: 0.008 to 0.031]) and higher number of analgesic medication usage by patients prior to surgery (β: 0.236 [95% CI: 0.057 to 0.415]) were both associated with an increased postoperative ODI score.

CONCLUSION

 LDH surgery generally improves patient degree of disability. The analysis of patients with a high preoperative ODI score and increased intake of analgesics before surgery predicted a worsening of patients' disability after LMD in this subgroup.

Impact of Affective Disorders on Inpatient Opioid Consumption and Hospital Outcomes Following Open Posterior Spinal Fusion for Adult Spine Deformity

OBJECTIVE

Affective disorders (ADs) are common and have a profound impact on surgical recovery, though few have studied the impact of ADs on inpatient narcotic consumption. The aim of this study was to assess the impact of ADs on inpatient narcotic consumption and healthcare resource utilization in patients undergoing spinal fusion for adult spinal deformity.

METHODS

A retrospective cohort study was performed using the 2016-2017 Premier Healthcare Database. Adults who underwent adult spinal deformity surgery were identified using International Classification of Disease, Tenth Revision, codes. Patients were grouped based on comorbid diagnosis of an AD. Demographics, comorbidities, intraoperative variables, complications, length of stay, admission costs, and nonroutine discharge rates were assessed. Increased inpatient opioid use was categorized by morphine milligram equivalents consumption greater than the 75th percentile. Multivariate regression analysis was used to identify predictors of increased healthcare recourse utilization.

RESULTS

Of the 1831 study patients, 674 (36.8%) had an AD. A smaller proportion of patients in the AD cohort were 65+ years of age (P = 0.001), while a greater proportion of patients in the AD cohort identified as non-Hispanic White (P < 0.001). A greater proportion of patients in the AD cohort had increased morphine milligram equivalents consumption (P < 0.001). The AD cohort also had a longer mean length of stay (P < 0.001). A greater proportion of patients in the AD cohort had nonroutine discharges (P = 0.039) and unplanned 30-day readmission (P = 0.041). On multivariate analysis, AD was significantly associated with increased cost (odds ratio: 1.61, P < 0.001) and nonroutine discharge (odds ratio: 1.36, P = 0.035).

CONCLUSIONS

ADs may be associated with increased inpatient opioid consumption and healthcare resource utilization.

Intrathecal morphine in combination with bupivacaine as pre-emptive analgesia in posterior lumbar fusion surgery: a retrospective cohort study

Background

The purpose of this study was to evaluate the efficacy of intrathecal morphine (ITM) in combination with bupivacaine as pre-emptive analgesia in patients undergoing posterior lumbar fusion surgery. This is in comparison with traditional opioid analgesics such as intravenous (IV) morphine.

Methods

Two groups were identified retrospectively. The first (ITM group) included patients who had general anaesthesia (GA) with low-dose spinal anaesthesia prior to induction using 1–4 mls of 0.25% bupivacaine and 0.2 mg ITM. 1 ml of 0.25% bupivacaine was administered per hour of predicted surgery time, up to a maximum of 4 ml. The insertion level for the spinal anaesthetic corresponded to the spinal level of the iliac crest line and the level at which the spinal cord terminated. The control group had GA without any spinal anaesthesia. Patients were instead administered opioid analgesia in the form of IV morphine or diamorphine. The primary outcome was the consumption of opioids administered intraoperatively and in recovery, and over the first 48 h following discharge from the post-anaesthesia care unit (PACU). Total opioid dose was measured, and a morphine equivalent dose was calculated. Secondary outcomes included visual analogue scale (VAS) pain scores in recovery and at day two postoperatively, and the length of stay in hospital.

Results

For the ITM group, the median total amount of IV morphine equivalent administered intraoperatively and in recovery, was 0 mg versus 17 mg. The median total amount morphine equivalent, administered over the first 48 h following discharge from PACU was 20 mg versus 80 mg. Both are in comparison with the control group. The median length of stay was over 1 day less and the median VAS for pain in recovery was 6 points lower. No evidence was found for a difference in the worst VAS for pain at day two postoperatively.

Conclusion

ITM in combination with bupivacaine results in a significantly decreased use of perioperative opioids. In addition, length of hospital stay is reduced and so too is patient perceived pain intensity.

Trial registration The study was approved by the ethics committee at The Robert Jones and Agnes Hunt Orthopaedic Hospital as a service improvement project (Approval no. 1617_004).

Variability in Opioid Prescription Following Primary Single-Level Lumbar Microdiscectomy

STUDY DESIGN

Retrospective case series.

OBJECTIVES

To evaluate the variability in opioid prescription following primary single-level lumbar microdiscectomy.

METHODS

We retrospectively reviewed consecutive patients who underwent primary single-level lumbar microdiscectomy. Only opioid-naïve patients ≥18 years old were included. Patients who had revision microdiscectomy, multilevel decompression, and/or any complication requiring prolonged hospital stay (>2 days) were excluded. The primary outcomes were the maximum daily dosage of opioids prescribed in morphine milligram equivalents (MME) and the number of pills prescribed (equivalent to 5 mg hydrocodone).

RESULTS

Between 2014 and 2019, 169 patients (90 men, 79 women) met inclusion criteria, with a mean age of 46.9 years. Surgery resulted in a statistically significant improvement in VAS (Visual Analogue Scale) score (6.4 to 2.5, P < .01). At discharge, 8 patients (4.7%) did not receive any opioid prescription. Of the remaining 161 patients, 1 patient (0.01%) received hydromorphone, 30 (18.6%) Percocet, 43 (26.7%) oxycodone, and 87 Norco (54.0%). The length of opioid prescription was 6.7 days. The maximum daily dosage of opioids prescribed was 70.4 MME (SD 32.1). The total number of pills prescribed was 89.4 (SD 54.7). Twenty-five patients (15.5%) received a refill prescription. Multivariate analysis demonstrated the operating service, prescriber, and hospital admission were statistically significant predictors of maximum daily MME. The prescriber and hospital admission were statistically significant predictors of total number of pills prescribed.

CONCLUSIONS

We found significant variability in opioid prescription following primary single-level lumbar microdiscectomy. For standard spinal procedures like lumbar microdiscectomy, opioid-prescribing guidelines should be established to standardize postoperative pain management.

Early Opioid Consumption Patterns After Anterior Cervical Spine Surgery

STUDY DESIGN

This is a prospective observational study.

OBJECTIVE

The aim was to record daily opioid use and pain levels after 1-level or 2-level anterior cervical discectomy and fusion (ACDF) or cervical disc arthroplasty (CDA).

SUMMARY OF BACKGROUND DATA

Data to inform opioid prescription guidelines following ACDF or CDA is lacking. Understanding postoperative opioid consumption behaviors is critical to provide appropriate postdischarge prescriptions.

METHODS

Patients undergoing 1-level or 2-level primary ACDF or CDA were consecutively enrolled at 2 participating institutions between March 2018 and March 2019. Patients with opioid dependence (defined as daily use ≥6 mo before surgery) were excluded. Starting postoperative day 1, daily opioid use and numeric pain rating scale pain levels were collected through a Health Insurance Portability and Accountability Act-compliant, automated text-messaging system. To facilitate clinical applications, opioid use was converted from oral morphine equivalents into "pills" (oxycodone 5 mg equivalents). After 6 weeks or upon patient-reported cessation of opioid use, final survey questions were asked. Refill data were verified from the state prescription registry. Risk factors for patients in top quartile of consumption were analyzed.

RESULTS

Of 57 patients, 48 completed the daily queries (84.2%). Mean age of the patient sample was 50.2±10.9 years. Thirty-two patients (66.7%) underwent ACDF and 16 CDA (33.3%); 64.6% one level; 35.4% two levels. Median postdischarge use was 6.7 pills (range: 0-160). Cumulative opioid use did not vary between the 1-level and 2-level groups (median pill consumption, 10 interquartile range: 1.3-31.3 vs. 4 interquartile range: 0-18, respectively, P=0.085). Thirteen patients (27.1%) did not use any opioids after discharge. Of those patients that took opioids after discharge, half ceased opioids by postoperative day 8. Preoperative intermittent opioid use was associated with the top quartile of opioid consumption (9.1% vs. 50%, P=0.006).

CONCLUSION

Given that most patients use few opioids, patients could be offered the option of a 12 oxycodone 5 mg (90 oral morphine equivalents) discharge prescription, accompanied by education on appropriate opioid use and disposal.

Baseline Risk Factors for Prolonged Opioid Use Following Spine Surgery: Systematic Review and Meta-Analysis

OBJECTIVE

To conduct a comprehensive systematic review and meta-analysis of current retrospective cohort studies to identify significant preoperative risk factors for prolonged postoperative opioid use following spine surgery.

METHODS

Studies were identified according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) through a search of the PubMed, Google Scholar, Scopus, Cochrane databases. Unique articles were screened by two independent reviewers. Primary research articles reporting odds ratios (OR) of risk factors for prolonged opioid use as following spine surgery were included. Prolonged opioid use was defined as continued use ≥ 3 months following surgery, and study quality was evaluated using the Newcastle-Ottawa Scale (NOS). Random effects meta-analysis was performed to calculate pooled OR and confidence intervals.

RESULTS

648 studies were returned upon initial search. Following duplicate removal, 492 titles and abstracts were screened. After full-text review of 68 studies, 19 final studies including 168,961 patients were eligible for meta-analysis. NOS scores ranged from 6-9. Seventeen risk factors for long-term opioid use were assessed by meta-analysis. Preoperative opioid use, depression, depression and/or anxiety, drug abuse or dependency, female gender, fibromyalgia, lower back pain, tobacco use, and chronic pulmonary disease were found to be statistically significant risk factors for prolonged opioid use.

CONCLUSION

These results suggest that several patient-level factors may play a role in the tendency to persistently utilize opioids following spine surgery. By preoperatively identifying these characteristics, clinicians may be better able to identify patients that are at-risk and employ methods to mitigate potential long-term opioid use.

Congress of Neurological Surgeons Systematic Review and Evidence-Based Guidelines for Perioperative Spine: Preoperative Opioid Evaluation

BACKGROUND

Opioid use disorders in the United States have rapidly increased, yet little is known about the relationship between preoperative opioid duration and dose and patient outcomes after spine surgery. Likewise, the utility of preoperative opioid weaning is poorly understood.

OBJECTIVE

The purpose of this evidence-based clinical practice guideline is to determine if duration and dose of preoperative opioids or preoperative opioid weaning is associated with patient-reported outcomes or adverse events after elective spine surgery for degenerative conditions.

METHODS

A systematic review of the literature was performed using the National Library of Medicine/PubMed database and Embase for studies relevant to opioid use among adult patients undergoing spine surgery. Clinical studies evaluating preoperative duration, dose, and opioid weaning and outcomes were selected for review.

RESULTS

A total of 41 of 845 studies met the inclusion criteria and none were Level I evidence. The use of any opioids before surgery was associated with longer postoperative opioid use, and longer duration of opioid use was associated with worse outcomes, such as higher complications, longer length of stay, higher costs, and increased utilization of resources. There is insufficient evidence to support the efficacy of opioid weaning on postoperative opioid use, improving outcome, or reducing adverse events after spine surgery.

CONCLUSION

This evidence-based clinical guideline provides Grade B recommendations that preoperative opioid use and longer duration of preoperative opioid use are associated with chronic postoperative opioid use and worse outcome after spine surgery. Insufficient evidence supports the efficacy of an opioid wean before spine surgery (Grade I).The full guidelines can be accessed at https://www.cns.org/guidelines/browse-guidelines-detail/1-preoperative-opioid-evaluation.

Predictors of Prolonged Opioid Use After Lumbar Fusion and the Effects of Opioid Use on Patient-Reported Outcome Measures

STUDY DESIGN

Retrospective case series.

OBJECTIVE

To determine risk factors associated with prolonged opioid use after lumbar fusion and to elucidate the effect of opioid use on patient-reported outcome measures (PROMs) after surgery.

METHODS

Patients who underwent 1-3 level lumbar decompression and fusion with at least one-year follow-up were identified. Opioid data were collected through the Pennsylvania Prescription Drug Monitoring Program. Preoperative "chronic use" was defined as consumption of >90 days in the one-year before surgery. Postoperative "prolonged use" was defined as a filled prescription 90-days after surgery. PROMs included the following: Short Form-12 Health Survey PCS-12 and MCS-12, ODI, and VAS-Back and Leg scores. Logistic regression was performed to determine independent predictors for prolonged opioid use.

RESULTS

The final analysis included 260 patients. BMI >35 (OR: .44 [.20, .90], P = .03) and current smoking status (OR: 2.73 [1.14, 6.96], P = .03) significantly predicted postoperative opioid usage. Chronic opioid use before surgery was associated with greater improvements in MCS-12 (β= 5.26 [1.01, 9.56], P = .02). Patients with prolonged opioid use self-reported worse VAS-Back (3.4 vs 2.1, P = .003) and VAS-Leg (2.6 vs 1.2, P = .03) scores after surgery. Prolonged opioid use was associated with decreased improvement in VAS-Leg over time (β = .14 [.15, 1.85], P = .02).

CONCLUSIONS

Current smoking status and lower BMI were significantly predictive of prolonged opioid use. Excess opioid use before and after surgery significantly affected PROMs after lumbar fusion.

Impact of body mass index on opioid consumption in lumbar spine fusion surgery

Background

in the United States from 1999 to 2000 through 2017–2018, the prevalence of obesity increased from 30.5 to 42.4%, while the prevalence of severe obesity nearly doubled. In lumbar spine surgery, obesity is associated with increased complications, worse perioperative outcomes, and higher costs. The purpose of this study was to examine the association between body mass index (BMI) and opioid consumption in patients undergoing lumbar spine fusion surgery. We hypothesized that obese patients would require more opioids postoperatively.

Methods

retrospective review of 306 patients who underwent one- or two-level posterior lumbar interbody fusion surgery between 2016 and 2020. Patients were stratified by BMI as follows: normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2), obese I (30.0–34.9 kg/m2), and obese II–III (≥ 35.0 kg/m2). Patient demographics and preoperative characteristics were compared across BMI cohorts using one-way ANOVA and chi-square analysis. Patients with prior history of opioid use were excluded. Primary outcome measure was postoperative opioid consumption. Secondary outcomes included operative time, length of stay (LOS), discharge destination, and 30-day re-encounter rates. Outcomes were analyzed using multivariable linear regression adjusted for potential confounders.

Results

of 306 total patients, 17.3% were normal weight, 39.9% were overweight, 25.5% were obese I, and 17.3% were obese II–III. Obesity was associated with longer operative times and length of stay (p < 0.001, p = 0.024). For opioid naïve patients, there was no difference in-house opioid consumption when adjusted for kilograms of body mass and LOS (p = 0.083). Classes II–III patients were prescribed more than twice the number of postoperative opioids (p < 0.001) and were on opioids for a longer time postoperatively (p = 0.019).

Conclusion

obesity is associated with longer operative times, longer LOS, and increased consumption of postoperative opioids. This should be considered when counseling patients preoperatively prior to lumbar spine fusion procedures.

Prevalence of long-term opioid therapy in spine center outpatients the spinal pain opioid cohort (SPOC)

PURPOSE

No reference material exists on the scope of long-term problems in novel spinal pain opioid users. In this study, we evaluate the prevalence and long-term use of prescribed opioids in patients of the Spinal Pain Opioid Cohort.

METHODS

The setting was an outpatient healthcare entity (Spine Center). Prospective variables include demographics, clinical data collected in SpineData, and The Danish National Prescription Registry. Patients with a new spinal pain episode lasting for more than two months, aged between 18 and 65 years, who had their first outpatient visit. Based on the prescription of opioids from 4 years before the first spine center visit to 5 years after, six or more opioid prescriptions in a single 1-year interval fulfilled the main outcome criteria Long-Term Opioid Therapy (LTOT).

RESULTS

Overall, of 8356 patients included in the cohort, 4409 (53%) had one or more opioid prescriptions in the registered nine years period. Of opioid users, 2261 (27%) were NaiveStarters receiving their first opioid prescription after a new acute pain episode; 2148(26%) PreStarters had previously received opioids. The prevalence of LTOT in PreStarters/NaiveStarters was 17.2%/11.2% in their first outpatient year. Similar differences between groups were seen in all follow-up intervals. In the last follow-up year, LTOT prevalence in Prestarters/NaiveStarters was 12.5%/7.0%.

CONCLUSIONS

Previous opioid treatment-i.e., before a new acute spinal pain episode and referral to a Spine Center-doubled the risk of LTOT 5 years later. The results underscore clinicians' obligation to carefully and individually weigh the benefits against the risks of prescribing opioid therapy.

LEVEL OF EVIDENCE I

Diagnostic: individual cross-sectional studies with consistently applied reference standard and blinding.

A systematic scoping study exploring opioid use across a variety of disability conditions

BACKGROUND

Opioid use experiences among people with disability (PWD) as a group has not been clearly articulated in the current literature, despite links between pain and measures of disability.

OBJECTIVE

To conduct a systematic search and scoping study examining the characteristics of current literature focused on opioid use among PWD.

METHODS

Four databases were queried (i.e., Medline, PsycINFO, Embase, and CINAHL) for peer-reviewed, empirical, English-language, journal articles focused on long-term opioid use among PWD. Collected data points included: disability details (specific condition, onset of disability), opioid details (category of opioid use, and specified substance), study details, and design.

RESULTS

A total of 196 articles were included, with 83.7% published since 2000 largely from the US. The majority of articles (70.4%) focused on the use of opioids as medical treatment, with fewer articles focusing on recreational opioid use or substance use disorders. The majority of included sources (73%) focused on opioid use in acquired conditions; neuropathic pain (21.9%) and attention deficit hyperactivity disorder (20.4%) were the most commonly studied. Differences were observed in the distribution of disability conditions across category of opioid use and study design classification; 73.5% were considered observational in design.

CONCLUSIONS

The varied representation of disability conditions, and differences across opioid use category and study design classification point to a complicated relationship between opioid use and disability. The present research portfolio would benefit from research matching informational needs of a specific disability area or opioid use category to provide the evidence necessary to advance current knowledge and promote inclusion in national agendas.

Chronic Opioid Use Following Lumbar Discectomy: Prevalence, Risk Factors, and Current Trends in the United States

Objective

Lumbar discectomy is commonly performed for symptomatic lumbar disc herniation. We aimed to examine prescribing patterns and risk factors for chronic opioid use following lumbar discectomy.

Methods

Using a private insurance claims database, patients were identified who underwent primary lumbar discectomy from 2010–2015 and had 1-year of continuous enrollment postoperatively. Patients were excluded with spinal fusion. The strength of opioid prescriptions was quantified using morphine milligram equivalents daily (MMED). Univariate and multivariate logistic regression models were built to examine risk factors associated with chronic postoperative opioid use.

Results

A total of 5,315 patients were included in the study (mean age, 59 years; 50% female). 1,198 of patients (23%) used chronic opioids postoperatively. Chronic opioid use declined significantly from 27% in 2010 to 17% in 2015, p < 0.001. In addition, there were significantly fewer patients receiving high and very high-dose opioid prescriptions from 2010–2015, p < 0.001. The median duration that patients used opioids postoperatively was 211 days in 2010 (interquartile range [IQR], 29–356 days), and decreased significantly to 44 days (IQR, 10–294 days) in 2015. The strongest factors associated with chronic opioid use were preoperative opioid use (odds ratio [OR], 4.0), drug abuse (OR, 2.6), depression (OR, 1.6), surgery in the west (OR, 1.6) or south (OR, 1.6), anxiety (OR, 1.5), or 30-day readmission (OR, 1.4).

Conclusion

Chronic opioid use following primary lumbar discectomy has declined from 2010–2015. A variety of factors are associated with chronic opioid use. Preoperative recognition of some of these risk factors may aid in perioperative management and counseling.

Opioid Use in Adults With Low Back or Lower Extremity Pain Who Undergo Spine Surgical Treatment Within 1 Year of Diagnosis

STUDY DESIGN

Retrospective longitudinal cohort.

OBJECTIVE

We investigated opioid prescribing patterns amongst adults in the United States diagnosed with low back or lower extremity pain (LBP/LEP) who underwent spine surgery.

SUMMARY OF BACKGROUND DATA

Opioid-based treatment of LBP/LEP and postsurgical pain has separately been associated with chronic opioid use, but a combined and large-scale cohort study is missing.

METHODS

This study utilizes commercial inpatient, outpatient, and pharmaceutical insurance claims. Between 2008 and 2015, patients without previous prescription opioids with a new diagnosis of LBP/LEP who underwent surgery within 1 year after diagnosis were enrolled. Opioid prescribing patterns after LBP/LEP diagnosis and after surgery were evaluated. All patients had 1-year postoperative follow-up. Low and high frequency (6 or more refills in 12 months) opioid prescription groups were identified.

RESULTS

A total of 25,506 patients without previous prescription opioids were diagnosed with LBP/LEP and underwent surgery within 1 year of diagnosis. After LBP/LEP diagnosis, 18,219 (71.4%) were prescribed opioids, whereas 7287 (28.6%) were not. After surgery, 2952 (11.6%) were prescribed opioids with high frequency and 22,554 (88.4%) with low frequency. Among patients prescribed opioids before surgery, those with high-frequency prescriptions were more likely to continue this pattern postoperatively than those with low frequency prescriptions preoperatively (OR 2.15, 95% CI 1.97-2.34). For those prescribed opioids preoperatively, average daily morphine milligram equivalent (MME) decreased after surgery (by 2.62 in decompression alone cohort and 0.25 in arthrodesis cohort, P < 0.001). Postoperative low-frequency patients were more likely than high-frequency patients to discontinue opioids one-year after surgery (OR 3.78, 95% CI 3.59-3.99). Postoperative high-frequency patients incurred higher cost than low-frequency patients. Postoperative high-frequency prescribing varied widely across states (4.3%-20%).

CONCLUSION

A stepwise association exists between opioid use after LEP or LBP diagnosis and frequency and duration of opioid prescriptions after surgery. Simultaneously, the strength of prescriptions as measured by MME decreased following surgery.

LEVEL OF EVIDENCE

3.

Correlating Psychological Comorbidities and Outcomes After Spine Surgery

STUDY DESIGN

Literature review.

OBJECTIVE

The aim of this literature review is to examine the effects of psychological disorders on postoperative complications, surgical outcomes, and long-term narcotic use. We also hope to detail the value of preoperative identification and treatment of these pathologies.

METHODS

A series of systematic reviews of the relevant literature examining the effects of psychological disorders and spine surgery was conducted using PubMed and Cochrane databases.

RESULTS

Combined, the database queries yielded 2275 articles for consideration. After applying screening criteria, 96 articles were selected for inclusion. Patients with underlying psychological disease have higher rates of delirium, readmission, longer hospital stays, and higher rates of nonroutine discharge following spine surgery. They also have higher rates of chronic postoperative narcotic use and may experience worse surgical outcomes. Because of these defined issues, researchers have developed multiple screening tools to help identify patients with psychological disorders preoperatively for potential treatment. Treatment of these disorders prior to surgery may significantly improve surgical outcomes.

CONCLUSION

Patients with psychological disorders represent a unique population with respect to their higher rates of spinal pain complaints, postoperative complications, and worsened functional outcomes. However, proper identification and treatment of these conditions prior to surgery may significantly improve many outcome measures in this population. Future investigations in this field should attempt to develop and validate current strategies to identify and treat individuals with psychological disorders before surgery to further improve outcomes.

Long-Term Opioid Therapy in Spine Center Outpatients: Protocol for the Spinal Pain Opioid Cohort (SPOC) Study

Background

Spinal pain is the leading cause of patient-years lived with chronic pain and disability worldwide. Although opioids are well documented as an effective short-term pain-relieving medication, more than a few weeks of treatment may result in a diminishing clinical effect as well as the development of addictive behavior. Despite recognition of opioid addiction in pain patients as a major problem commonly experienced in the clinic, no reference material exists on the scope of long-term problems in novel opioid users and the link to clinical outcomes.

Objective

The main aims of this study are to describe baseline and follow-up characteristics of the Spinal Pain Opioid Cohort (SPOC), to evaluate the general use of opioids in spinal pain when an acute pain episode occurs, and to demonstrate the prevalence of long-term opioid therapy (LTOT).

Methods

Prospective clinical registry data were collected from an outpatient spine center setting during 2012-2013 including patients with a new spinal pain episode lasting for more than 2 months, aged between 18 and 65 years who had their first outpatient visit in the center. Variables include demographics, clinical data collected in SpineData, the Danish National Patient Register, and The Danish National Prescription Registry. The primary outcome parameter is long-term prescription opioid use registered from 4 years before the first spine center visit to 5 years after.

Results

This is an ongoing survey. It is estimated that more than 8000 patients fulfill the SPOC inclusion criteria. In 2019, we began the intellectual process of identifying the most relevant supplementary data available from the wide range of existing national registries available in Denmark. We have now begun merging SpineData with relevant opioid data from Danish national registers and will continue to extract data up to 2021-2022. We will also be looking at data regarding somatic or psychiatric hospitalization patterns, patient usage of health care resources, as well as their working status and disability pensions.

Conclusions

To our knowledge, this survey will be the first to document the scope of long-term problems regarding LTOT and opioid addiction following new spinal pain episodes and comparing descriptive follow-up data between substance users and nonusers.

Trial Registration

ISRCTN Registry ISRCTN69685117; http://www.isrctn.com/ISRCTN69685117

International Registered Report Identifier (IRRID)

DERR1-10.2196/21380

A predictive-modeling based screening tool for prolonged opioid use after surgical management of low back and lower extremity pain

BACKGROUND CONTEXT

Outpatient postoperative pain management in spine patients, specifically involving the use of opioids, demonstrates significant variability.

PURPOSE

Using preoperative risk factors and 30-day postoperative opioid prescribing patterns, we developed models for predicting long-term opioid use in patients after elective spine surgery.

STUDY DESIGN/SETTING

This retrospective cohort study utilizes inpatient, outpatient, and pharmaceutical data from MarketScan databases (Truven Health).

PATIENT SAMPLE

In all, 19,317 patients who were newly diagnosed with low back or lower extremity pain (LBP or LEP) between 2008 and 2015 and underwent thoracic or lumbar surgery within 1 year after diagnosis were enrolled. Some patients initiated opioids after diagnosis but all patients were opioid-naïve before the diagnosis.

OUTCOME MEASURES

Long-term opioid use was defined as filling ≥180 days of opioids within one year after surgery.

METHODS

Using demographic variables, medical and psychiatric comorbidities, preoperative opioid use, and 30-day postoperative opioid use, we generated seven models on 80% of the dataset and tested the models on the remaining 20%. We used three regression-based models (full logistic regression, stepwise logistic regression, least absolute shrinkage and selection operator), support vector machine, two tree-based models (random forest, stochastic gradient boosting), and time-varying convolutional neural network. Area under the curve (AUC), Brier index, sensitivity, and calibration curves were used to assess the discrimination and calibration of the models.

RESULTS

We identified 903 (4.6%) of patients who met criteria for long-term opioid use. The regression-based models demonstrated the highest AUC, ranging from 0.835 to 0.847, and relatively high sensitivities, predicting between 74.9% and 76.5% of the long-term opioid use patients in the test dataset. The three strongest positive predictors of long-term opioid use were high preoperative opioid use (OR 2.70; 95% confidence interval [CI] 2.27-3.22), number of days with active opioid prescription between postoperative days 15 to 30 (OR 1.10; 95%CI 1.07-1.12), and number of dosage increases between postoperative day 15 to 30 (OR 1.71, 95%CI 1.41-2.08). The strongest negative predictors were number of dosage decreases in the 30-day postoperative period.

CONCLUSIONS

We evaluated several predictive models for postoperative long-term opioid use in a large cohort of patients with LBP or LEP who underwent surgery. A regression-based model with high sensitivity and AUC is provided online to screen patients for high risk of long-term opioid use based on preoperative risk factors and opioid prescription patterns in the first 30 days after surgery. It is hoped that this work will improve identification of patients at high risk of prolonged opioid use and enable early intervention and counseling.

Predicting prolonged opioid prescriptions in opioid-naïve lumbar spine surgery patients

IMPORTANCE

Preoperative determination of the potential for postoperative opioid dependence in previously naïve patients undergoing elective spine surgery may facilitate targeted interventions.

OBJECTIVE

The purpose of this study was to develop supervised machine learning algorithms for preoperative prediction of prolonged opioid prescription use in opioid-naïve patients following lumbar spine surgery.

DESIGN

Retrospective review of clinical registry data. Variables considered for prediction included demographics, insurance status, preoperative medications, surgical factors, laboratory values, comorbidities, and neighborhood characteristics. Five supervised machine learning algorithms were developed and assessed by discrimination, calibration, Brier score, and decision curve analysis.

SETTING

One healthcare entity (two academic medical centers, three community hospitals), 2000 to 2018.

PARTICIPANTS

Opioid-naïve patients undergoing decompression and/or fusion for lumbar disk herniation, stenosis, and spondylolisthesis.

MAIN OUTCOME

Sustained prescription opioid use exceeding 90 days after surgery.

RESULTS

Overall, of 8,435 patients included, 359 (4.3%) were found to have prolonged postoperative opioid prescriptions. The elastic-net penalized logistic regression achieved the best performance in the independent testing set not used for algorithm development with c-statistic=0.70, calibration intercept=0.06, calibration slope=1.02, and Brier score=0.039. The five most important factors for prolonged opioid prescriptions were use of instrumented spinal fusion, preoperative benzodiazepine use, preoperative antidepressant use, preoperative gabapentin use, and uninsured status. Individual patient-level explanations were provided for the algorithm predictions and the algorithms were incorporated into an open access digital application available here: https://sorg-apps.shinyapps.io/lumbaropioidnaive/.

CONCLUSION AND RELEVANCE

The clinician decision aid developed in this study may be helpful to preoperatively risk-stratify opioid-naïve patients undergoing lumbar spine surgery. The tool demonstrates moderate discriminative capacity for identifying those at greatest risk of prolonged prescription opioid use. External validation is required to further support the potential utility of this tool in practice.

Sauver JL, Huddleston PM, Bydon M, Cunningham JL, Gazelka HM, Warner DO. Association Between Spine Surgery and Availability of Opioid Medication

IMPORTANCE

Prolonged prescribing of opioids after spine surgery is often perceived as a negative outcome, but successful opioid reduction may occur despite continued prescribing. Improved characterization of opioid availability before and after surgery is necessary to identify these successes.

OBJECTIVE

To evaluate the association between spine surgery and modification of opioid availability postoperatively by using consistent definitions to classify opioid availability before and after surgery.

DESIGN, SETTING, AND PARTICIPANTS

This population-based cohort study included 2223 adults (age ≥18 years) who underwent spine surgery in Olmsted County, Minnesota, from January 1, 2005, through December 31, 2016. Data were analyzed from April 1, 2019, to December 1, 2019.

EXPOSURES

Preoperative opioid availability based on prescription data in the 180 days before surgery in accordance with Consortium to Study Opioid Risks and Trends (CONSORT) definitions.

MAIN OUTCOMES AND MEASURES

Successful modification of opioid availability, defined as an improvement in CONSORT status postoperatively (assessed from 181 to 365 days after surgery) compared with preoperative status, or continued absence of opioid availability for patients with no preoperative availability. Multivariable logistic regression was used to assess the association between preoperative opioid availability and successful modification by 1 year after undergoing surgery.

RESULTS

Of 2223 patients included in the study, 1214 were male (54.6%), with a median age of 55 years (interquartile range, 43-68) years. Patients were classified as having no (778 [35.0%]), short-term (1118 [50.3%]), episodic (227 [10.2%]), or long-term (100 [4.5%]) preoperative opioid availability. Of the 2148 patients (96.6%) who were alive at 1 year, postoperative opioid availability was classified as no (1583 [73.7%]), short-term (398 [18.5%]), episodic (104 [4.8%]), and long-term (63 [2.9%]). A total of 1672 patients (77.8%) had successful modification of opioid availability, with success of 83.0% for those with no preoperative availability, 74.9% for those with short-term preoperative availability, 79.8% for those with episodic preoperative availability, and 64.4% for those with long-term preoperative opioid availability. In multivariable analysis, success was significantly associated with preoperative opioid availability (odds ratio [OR] for short term, 0.61 [95% CI, 0.48-0.77]; OR for episodic, 0.95 [95% CI, 0.64-1.40]; OR long term, 0.49 [95% CI, 0.30-0.82]; P < .001 overall vs no availability).

CONCLUSIONS AND RELEVANCE

In this study, when following standardized CONSORT definitions, 4 of 5 adults undergoing spine surgery in a population-based cohort met the criteria for a successful pattern of postoperative opioid prescribing. Similar methods to objectively assess changes in opioid prescribing may be clinically useful in other perioperative settings.