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26 (); 23-28
doi:
10.1016/j.jor.2021.06.003

The impact of preoperative motor weakness on postoperative opioid use after ACDF

Department of Orthopaedic Surgery, Rothman Institute, Thomas Jefferson University, Philadelphia, PA, USA

∗Corresponding author: Brian A. Karamian. brian.karamian@rothmanortho.com

Disclaimer:
This article was originally published by Reed Elsevier India Pvt. Ltd. and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Abstract

This study aims to determine if preoperative weakness is an isolated risk factor for prolonged postoperative opioid use after anterior cervical discectomy and fusion (ACDF). Patients with preoperative weakness were significantly more likely to have prolonged and inappropriate opioid use and have a single prescription mean morphine equivalent (MME) ≥ 200. Logistic regression isolated preoperative weakness, opioid tolerance, depression, and VAS Neck pain as independent predictors of extended opioid use. High postoperative opioid dose (MME ≥ 90) correlated with opioid tolerance, younger age, male sex, greater CCI, prior cervical surgery, and preoperative VAS Neck pain on regression.

Keywords

Motor weakness
Opioid
Narcotics
Risk factors
ACDF
Spine surgery
anterior cervical discectomy and fusion
mean morphine equivalent
Pennsylvania prescription drug monitoring program
visual analogue scale
Charlson comorbidity index
body mass index
health-related quality of life
manual muscle testing
odds ratio
PubMed
1

1 Introduction

Narcotic induced overdose is the leading cause of accidental death in the United States, resulting in approximately 47,000 deaths in 2017.1,2 Taken on its own, prescription opioid abuse contributes to nearly 40% of the aforementioned overdose deaths.3 The postoperative period for patients undergoing surgery has been shown to contribute to prescription opioid misuse and patterns of chronic abuse.4,5 Specifically, spine surgery has been defined as a “high risk” episode for sustained postoperative opioid use, where historically pain control was regarded as the “5th vital sign”.6–10 In anterior cervical discectomy and fusion (ACDF), one of the most commonly performed spine surgeries, postoperative opioid prescription is the standard of care.5 Though it is important to adequately address pain during the postoperative period, prescriptions have been found to commonly exceed the dose and duration necessary for a patient's return to function after surgery.11,12

The profound morbidity and mortality associated with opioid misuse after ACDF necessitates a more granular understanding of underlying patient predictors for prolonged opioid use. In particular, elucidating preoperative risk factors allows physicians to address those that are modifiable before surgery to help decrease perioperative morbidity. To date, prolonged narcotic use after ACDF has been strongly associated with prior history of opioid use, substance abuse, and mental health conditions including depression and anxiety.7,13–20 However, the role that preoperative symptom severity and functional impairment play in postoperative opioid use patterns has yet to be elucidated.

While motor weakness has been associated with reduced preoperative health-related quality of life (HRQOL) outcomes, the effect of weakness on postoperative opioid use remains unknown.21 In the present work, symptom severity is explored through motor function weakness on physical exam arising from neurologic (central or foraminal) compression. Nerve root ischemia and inflammation associated with neurologic compression may mediate neuropathic pain thereby increasing narcotic requirement.22–24 Therefore, the goal of this study is to determine if preoperative weakness is an isolated risk factor for postoperative prolonged opioid use or abuse.

2

2 Material and methods

After Institutional Review Board approval (IRB #19D.508), all patients over age 18 who underwent one-to four-level primary or revision ACDF for cervical spondylosis associated with radiculopathy and/or myelopathy at an academic medical center between 2016 and 2019 were retrospectively identified. Waiver was granted for patient informed consent as a minimal risk research study. Additional inclusion criteria were complete patient demographic profiles, surgical characteristics, pre- and postoperative motor strength testing, and postoperative opioid use records. Patients were excluded if their descriptive data or opioid utilization could not be assessed or if their surgical indications included trauma, infection, or malignancy.

2.1

2.1 Demographics and surgical factors

Patient demographics including age, sex, smoking status (never, former, current), and body mass index (BMI), as well as medical history including depression, diabetic status, and Charlson Comorbidity Index (CCI) were recorded. Spinal pathology and surgical factors including duration of preoperative symptoms, cord compression, myelomalacia, foraminal stenosis, number of levels fused, revision status, and surgical corpectomy were extracted from the electronic medical record. Preoperative and postoperative motor strength (measured by manual muscle testing [MMT] on a 0–5 scale: 0/5 = no contraction, 1/5 = muscle contraction without movement, 2/5 = movement limited to the horizontal plane, 3/5 = movement against gravity but not resistance, 4/5 = movement against some resistance, 5/5 = normal strength) was obtained from the spine surgeon's physical examination during a patient's clinical visit. Motor strength was assessed in five upper extremity muscular groups: deltoid, biceps, triceps, grip, and hand interossei where 25 was the maximum achievable score. Strength deficit was determined by subtracting patients' strength score from the maximum score. Strength improvement was calculated as a delta score using postoperative strength at the last available follow-up visit, with preference given to the one-year postoperative visit. Furthermore, weakness was defined as a strength grade of three or less in one or more muscular groups.21 Preoperative weakness, postoperative weakness, and visual analogue scale (VAS) Neck score were examined as potential correlates with postoperative opioid use.

2.2

2.2 Opioid use measures

Preoperative and postoperative opioid and benzodiazepine use was determined using the Pennsylvania Prescription Drug Monitoring Program (PDMP). Preoperative opioid tolerance was defined according to the Federal Drug Administration definition as any patient receiving one week or more of at least 60 morphine milligram equivalents (MME) per day in the 60 days prior to surgery. Preoperative benzodiazepines use was defined as any benzodiazepine prescriptions during the year prior to surgery. The maximum dose, and prolonged or inappropriate postoperative opioid use were assessed through collection of all available prescription metrics: duration of usage, number of prescriptions, dose (MME), number of prescribers, and whether prescriptions overlapped. Mean MME doses were determined according to Centers for Medicare and Medicaid Services published conversion factors based on the prescribed opioid's strength relative to oral morphine.25 Single prescription peak MME thresholds of 90 and 200 were used as a measure of high and very high opioid dose, respectively.14 Postoperative prolonged opioid use (a measure of chronicity) was guided by inspector general recommendations as greater than 120 days usage or greater than 10 prescriptions.14 Extended postoperative usage was additionally defined as greater than one postoperative opioid script which surpassed standard institutional protocol.13,20 Appropriateness of postoperative opioid use was determined using the number of prescribers and potential overlap in prescription dates. Patients with a New Jersey residence were excluded from the prolonged and appropriate use postoperative opioid measures because prescription refill information was not reliably present in the PDMP.

2.3

2.3 Statistical methods

Patients were divided into groups with and without preoperative weakness. Descriptive statistics were used to compare patient demographics and outcomes in terms of mean and standard deviation or number of occurrences and percent of total. Continuous and categorical variables were analyzed with t-tests and chi-square tests or the corresponding non-parametric tests, respectively. A Kaplan Meier curve was developed to compare postoperative time (months) to opioid discontinuation across groups. Two binary logistic regressions were created with preoperative demographics, surgical factors, weakness, and VAS Neck as potential predictors of dependent variables of MME greater than 90 (dosing) and greater than one postoperative script (prolonged use). All statistical analysis was performed with the Statistical Packages for the Social Sciences and R studio software (R Foundation for Statical Computing). A p-value < 0.05 was considered statistically significant.

3

3 Results

3.1

3.1 Demographics

A total of 481 patients were included in the final study cohort (Table 1). Groups with and without preoperative weakness did not significantly differ in demographic or surgical variables. Patients with preoperative weakness were more likely to be opioid tolerant (13% vs 4.21%, p: 0.005) and have shorter duration of preoperative symptoms (6.68 months vs 9.08 months, p < 0.001) (Table 1). VAS Neck was on average greater for patients with preoperative weakness (7.14 vs 6.87), however this relationship did not reach significance (p = 0.086). Weak patients were more likely than non-weak patients to experience strength improvement after surgery (4.26 MMT points vs 1.53 MMT points, p < 0.001). Eighty percent of preoperatively weak patients achieved full recovery of motor strength (Table 1).

Table 1 Comparison of patient demographics by preoperative weakness status.
No Preop Weakness Preop Weakness P Value
N = 404 N = 77
Age 55.0 (12.4) 57.2 (11.4) 0.168
Sex: 0.105
Female 217 (53.7%) 33 (42.9%)
Male 187 (46.3%) 44 (57.1%)
BMI 30.5 (7.07) 31.1 (7.11) 0.439
CCI 2.27 (1.63) 2.48 (1.76) 0.414
Smoking Status: 0.836
No 250 (61.9%) 48 (62.3%)
Yes 73 (18.1%) 12 (15.6%)
Former 81 (20.0%) 17 (22.1%)
Depression Diagnosis: 0.859
No 337 (83.4%) 63 (81.8%)
Yes 67 (16.6%) 14 (18.2%)
Diabetes Diagnosis: 0.492
No 330 (81.7%) 66 (85.7%)
Yes 74 (18.3%) 11 (14.3%)
Preop Opioid Tolerance: 0.005
No 387 (95.8%) 67 (87.0%)
Yes 17 (4.21%) 10 (13.0%)
Preop Benzo Use: 0.691
No 341 (84.4%) 63 (81.8%)
Yes 63 (15.6%) 14 (18.2%)
Prior Cervical Surgery: 0.326
No 372 (92.1%) 74 (96.1%)
Yes 32 (7.92%) 3 (3.90%)
Number of Levels Fused (n = 479): 0.280
1 117 (29.1%) 25 (32.5%)
2 173 (43.0%) 35 (45.5%)
3 105 (26.1%) 14 (18.2%)
4 7 (1.74%) 3 (3.90%)
Corpectomy (n = 476): 1.000
No 362 (90.5%) 69 (90.8%)
Yes 26 (6.50%) 5 (6.58%)
Partial 12 (3.00%) 2 (2.63%)
Cord Compression (n = 480): 0.381
No 139 (34.5%) 22 (28.6%)
Yes 264 (65.5%) 55 (71.4%)
Myelomalacia (n = 480): 0.166
No 329 (81.6%) 57 (74.0%)
Yes 74 (18.4%) 20 (26.0%)
Foraminal Stenosis (n = 479): 0.684
No 196 (48.8%) 35 (45.5%)
Yes 206 (51.2%) 42 (54.5%)
Duration of Preop Symptoms: months (n = 462) 9.08 (4.48) 6.68 (4.87) <0.001
Preop VAS Neck (n = 343) 6.87 (2.46) 7.14 (3.05) 0.086
Preop Strength Deficit 1.81 (1.64) 5.56 (2.77) <0.001
Postop Weakness (n = 477): <0.001
No 400 (99.8%) 61 (80.3%)
Yes 1 (0.25%) 15 (19.7%)
Strength Improvement (n = 477) 1.53 (1.62) 4.26 (3.13) <0.001
3.2

3.2 Comparison of opioid use by preoperative weakness

Postoperative opioid use varied significantly based on patient preoperative weakness. Preoperatively weak patients were significantly more likely to be prolonged narcotic users, receive very high opioid dose on a single prescription, and exhibit inappropriate use patterns through prescriptions with overlapping dates (Table 2). Specifically, 3.9% of weak patients vs 0.05% of non-weak patients received prescriptions of ≥ 200 MME for postoperative pain reduction (p = 0.031) (Fig. 1). A Kaplan Meier Curve (Fig. 2) demonstrates that at any postoperative time point, opioid discontinuation was less probable in the preoperatively weak group. Furthermore, greater than 40% of the group with preoperative weakness continued to take opioid medications three years after surgery compared to less than 10% of the control group (Fig. 2). Despite over 80% of preoperatively weak patients achieving motor recovery, at least 20% of those recovered patients continued taking opioids three years after surgery.

Table 2 Comparison of postoperative use by preoperative weakness status.
Category Opioid Outcome Measure No Preop Weakness Preop Weakness P Value
Dosing Peak MME ≥ 200 (n = 481): 0.031
No 402 (99.5%) 74 (96.1%)
Yes 2 (0.50%) 3 (3.90%)
Peak MME ≥ 90 (n = 481): 0.280
No 300 (74.3%) 52 (67.5%)
Yes 104 (25.7%) 25 (32.5%)
Prolonged Use >1 Postop Opioid Prescriptions (n = 382): 0.005
No 217 (67.8%) 30 (48.4%)
Yes 103 (32.2%) 32 (51.6%)
120 Days of Postop Opioid Use (n = 385): <0.001
No 299 (92.6%) 45 (72.6%)
Yes 24 (7.43%) 17 (27.4%)
>10 Postop Opioid Prescriptions (n = 385): <0.001
No 307 (95.0%) 47 (75.8%)
Yes 16 (4.95%) 15 (24.2%)
Appropriateness Appropriateness of Postop Opioid Use (n = 335): 0.001
Sole Provider 213 (75.5%) 32 (60.4%)
Multiple Provider + Appropriate Use 60 (21.3%) 12 (22.6%)
Multiple Provider + Inappropriate Use 9 (3.19%) 9 (17.0%)
Postoperative peak MME by preoperative weakness status.
Fig. 1 Postoperative peak MME by preoperative weakness status.
Kaplan Meier survival curve to measure time to opioid discontinuation by preoperative weakness status.
Fig. 2 Kaplan Meier survival curve to measure time to opioid discontinuation by preoperative weakness status.
3.3

3.3 Regression analysis

Logistic regression demonstrated preoperative weakness to be a significant predictor of prolonged postoperative opioid use (>1 script) (Odds Ratio [OR] = 3.29, p = 0.017) (Table 3). While preoperatively weak patients had a shorter duration of symptoms before surgical intervention (Table 1), duration of preoperative symptoms was not significantly associated with postoperative opioid use on regression. Preoperative opioid tolerance was a significant predictor of high postoperative opioid dose (OR = 18.17, p < 0.001) and prolonged usage (OR = 8.73, p = 0.011). Higher VAS Neck score was a predictor of high opioid dose (OR = 1.28, p < 0.001) and prolonged usage (OR = 1.24, p = 0.002). Patients with a high dose opioid script were more likely to be younger (OR = 0.90, p < 0.001), male (OR = 2.34, p = 0.005), have medical comorbidities (high CCI) (OR = 1.73, p = 0.001), and have had a prior cervical surgery (OR = 4.19, p = 0.006). Postoperative opioid prolonged usage was correlated with current smoking status (OR = 3.29, p = 0.003) and depression (OR = 4.91, p < 0.001). Higher BMI was also associated with prolonged opioid usage; however, the coefficient of relationship was weak (OR = 1.05) (Table 3).

Table 3 Binary logistic regression of postoperative opioid use.
Patient Variable Dose Chronicity
Peak MME ≥ 90 >1 prescription
Odds Ratio P value Odds Ratio P values
Age 0.90 <0.001 0.99 0.474
Sex (male) 2.34 0.005 0.69 0.247
BMI 0.98 0.243 1.05 0.019
CCI 1.73 0.001 1.02 0.886
Smoker:
No Reference
Yes 1.05 0.899 3.29 0.003
Former 0.58 0.161 1.33 0.492
Depression Diagnosis 1.36 0.405 4.91 <0.001
Preop Opioid Tolerance 18.17 <0.001 8.73 0.011
Preop Benzo Use 1.25 0.567 1.39 0.407
Prior Cervical Surgery 4.19 0.006 0.67 0.534
Number of Levels Fused 1.17 0.418 1.37 0.152
Corpectomy:
No Reference
Yes 0.98 0.975 2.58 0.250
Partial 0.50 0.460 0.08 0.081
Cord Compression 1.00 0.994 0.88 0.705
Duration of Symptoms>1 year 0.81 0.468 0.82 0.525
Preop VAS Neck 1.28 <0.001 1.24 0.002
Preop Weakness 1.78 0.157 3.29 0.017
Postop Weakness 0.17 0.130 0.96 0.966
4

4 Discussion

The prescription opioid epidemic has profound medical and socioeconomic repercussions.26–28 Orthopaedic surgeons are among the highest opioid prescribers with spinal surgery representing a “high risk” care episode.10 Currently there is an incomplete understanding of the various patient risk factors that predict high postoperative opioid requirement and extended usage patterns. To date, this is the first study to examine preoperative weakness as a predictor of postoperative narcotic usage. The results of our study show that preoperative weakness is associated with preoperative opioid tolerance as well as prolonged and inappropriate opioid use with a high postoperative dose requirement. After taking into account associated preoperative risk factors, preoperative weakness was shown to be an independent predictor of prolonged postoperative opioid use.

Debilitating neurologic compression resulting in motor weakness serves as a proxy for the underlying disease severity and often warrants urgent referral and intervention to improve the likelihood of motor recovery.21,29 However, it remains unclear whether the severity of neurologic compression is associated with increased pain, therefore increasing presurgical and postsurgical opioid requirements. Cervical foraminal compression is associated with both neuropathic mediated pain and sensorimotor deficit.22,24 Radicular pain arises from ischemia and inflammation triggering mechanical and nociceptive pain pathways mediated by sensory neuropeptides and interleukins.22–24 Theoretically, more severe mechanical compression resulting in motor weakness would increase nerve root ischemia and inflammation and further the release of nociceptive mediators. However, it remains to be determined if the degree of radicular compression scales with neuropathic pain generation clinically.

Previous literature has shown a significant association between preoperative weakness and higher VAS Neck and VAS Arm pain scores.21 In the present work, VAS Neck was greater in patients with preoperative weakness, but this relationship was not significant. Therefore, the significantly greater opioid tolerance in preoperatively weak patients in the present study cannot be attributed to pain alone. One possible explanation is the difference in preoperative patient optimization between those presenting with symptoms of pain compared to those presenting with weakness. While patients presenting with pain would be encouraged to wean opioid usage before being considered surgical candidates, patients with weakness would likely undergo early surgical intervention for the best chance of improving postoperative function despite continued opioid use.21 As suggested by this study, as well as others, preoperative opioid use is a risk factor for prolonged opioid use postoperatively.7,13–18,30

Preoperative weakness was observed to be a strong risk factor for postsurgical opioid use. Univariate analyses of preoperatively weak patients compared to non-weak controls demonstrated greater postoperative opioid dose, increased inappropriate prescriptions, and greater prolonged usage. These findings are likely confounded by characteristics associated with both weakness and opioid use, including preoperative opioid tolerance and potentially preoperative pain. However, logistic regressions demonstrated weakness to be an independent predictor of prolonged postoperative opioid use. Duration of preoperative symptoms alone was not significantly associated with postoperative opioid use. This suggests that although weak patients may require more urgent surgical intervention in the setting of neurologic deficits, earlier surgery does not impact postoperative opioid use. Furthermore, postoperative weakness was not related to postoperative opioid use metrics suggesting that the association between preoperative weakness and extended usage exists regardless of motor recovery. It is unclear what unidentified pathology or patient characteristics explain this unique relationship. Future research should investigate HRQOL outcomes specific to preoperatively weak patients that abuse narcotic prescriptions postoperatively and compare delta HRQOL with and without motor recovery.

Apart from preoperative weakness, the current study investigates known preoperative risk factors for elevated or extended opioid use after ACDF and proposes new correlates for future investigation. Preoperative opioid use has been consistently identified as the strongest predictor of prolonged postoperative opioid use.7,13–18,30,31 Evidence suggests that opioid tolerant patients are four to five times more likely that opioid naïve patients to become prolonged opioid users.15,17,18 This odds ratio continues to increase with extended durations of preoperative opioid use.7,17 Other emerging risk factors for prolonged postoperative opioid abuse after ACDF include depression, anxiety, substance abuse, tobacco use, younger age, myelopathy, and insurance status (Medicare/Medicaid).7,13–20,31 Elevated opioid dose in the direct postoperative period has been correlated with similar factors including preoperative opioid and benzodiazepine use and increased number of levels fused.16 Knowledge of these risk factors is crucial for presurgical optimization by counseling patients on opioid discontinuation.

In the present study, preoperative opioid tolerance, depression, and current smoking status corroborate the existing literature as predictors of prolonged usage (>1 script). The connection between preoperative opioid tolerance and increased MME requirement is also supported. Younger age, which has previously been correlated with opioid chronicity, also predicted high peak MME.30 The present study demonstrates novel correlations between high perioperative opioid dose and male sex, medical comorbidities (higher CCI), and prior cervical surgery. Sex variations could reflect metabolic differences or differing sociocultural expectations such as desire to return to work.32 Medical comorbidities, namely HIV and liver disease, are commonly associated with opioid use disorder but the association with postoperative opioid dose requires further validation.33 Likewise, revision procedures are often longer and more complex than primary surgery leading to larger postoperative pain control requirements. A novel association unique to this study, preoperative VAS Neck is shown to correlate with high postoperative opioid doses and prolonged usage patterns. To the best of the authors’ knowledge, this is the first study linking specifically preoperative pain to opioid abuse after ACDF.18 This demonstrates that opioid misuse depends on preoperative pain status regardless of the extent of postsurgical pain improvement.

This study is not without limitations. First, the study is subject to biases inherent to retrospective study design and cohort generation. Although patients were selected in a systematic method, potentially relevant cases were identified based on availability of PDMP data and surgical characteristics. In particular, drug monitoring data was limited geographically to the state of Pennsylvania, however patients may have sought continued long-term pain management in adjacent states. To mitigate the impact of this limitation, patients with New Jersey residences were not included in any opioid use metrics outside of immediate postoperative opioid dosing. Additionally, narcotic data was reported by prescription and is subject to inaccuracy based on patient filling patterns. The primary variable of weakness (MMT≤3) is a heterogenous measure dependent on provider physical examination and patient effort. For this reason, plus and minus additions to MMT strength grades were not utilized. Lastly, duration of preoperative symptoms was based on patient reporting and therefore is subject to recall bias.

5

5 Conclusion

Overall, preoperative weakness was found to be an independent predictor of prolonged opioid use after ACDF. Preoperative opioid tolerance, neck pain, duration of symptoms, and motor recovery incompletely explain the relationship between preoperative weakness and prolonged opioid usage. The benefits of presurgical optimization with narcotic discontinuation and multimodal pain management in preoperatively weak patients should be thoroughly weighed against the relative urgency of surgical intervention.

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