Risk Factors for Failing to Reach a Minimal Clinically Important Difference Following Minimally Invasive Lumbar Decompression ============================================================================================================================= * Elliot D.K. Cha * Conor P. Lynch * Cara E. Geoghegan * Caroline N. Jadczak * Shruthi Mohan * Kern Singh ## Abstract **Background** Clinically important postoperative changes can be best evaluated through the minimal clinically important difference (MCID). Our study aims to evaluate risk factors associated with failure to achieve MCID following lumbar decompression (LD). **Methods** Demographics, perioperative characteristics, and patient-reported outcome measures (PROM) for pain, disability, and physical function were retrospectively reviewed and collected for patients undergoing LD. MCID achievement was calculated using established values. Relative risk of demographic and perioperative characteristics with failure to meet MCID for all PROMs was calculated. Least absolute shrinkage and selection operator (LASSO) was used to estimate individual risk factors, and postestimation logistic regression was performed. **Results** The study cohort included 811 patients. Comorbidity burden was associated with failed MCID for visual analog scale (VAS) back and leg pain and Oswestry Disability Index (ODI). Operative levels or duration was associated with failed MCID for VAS leg pain, 12-item short form physical component summary (SF-12 PCS), and the patient-reported outcomes measurement information system physical function (PROMIS PF). Preoperative spinal pathology was associated with failed MCID for VAS leg pain, ODI, SF-12 PCS, and PROMIS PF. Additional risk factors included the type of operation, insurance, age, and body mass index. LASSO selected insurance, age, comorbidity burden, blood loss, operative duration, and type of spinal pathology as significant risk factors for failure to reach MCID. **Conclusion** Failure to reach MCID was greatest for VAS back. Age, comorbidity burden, and prolonged procedures were significantly associated with risk for failure to reach MCID for a majority of PROMs. Comorbidity burden combined with operative outcomes may place patients at increased risk for failure to reach MCID for pain, disability, and physical function following LD. **Level of Evidence** 4. **Clinical Relevance** Establishes risk factors for failing to reach the threshold of meaningful difference in symptoms after LD surgery. * lumbar decompression * minimal clinically important difference * outcomes ## INTRODUCTION Globally, low back and neck pain were the leading causes of disability in 2015,1 with reports estimating the cost of low back pain as more than $100 billion per year.2 The significant disease burden that low back and neck pain place on the general population promotes the investigation into potential risk factors for poorer outcomes following surgical intervention. While traditional assessment of postoperative outcomes has heavily relied on physician-based or radiographic measures, patient-reported outcome measures (PROMs) provide a patient-centered evaluation of quality of life, pain, and disease-specific outcomes following surgery.3 However, it has become difficult to determine clinically relevant improvements using PROMs because statistically significant differences in scores do not always correlate with a patient’s postoperative satisfaction.4 To account for this shortcoming, investigators have begun using the minimal clinically important difference (MCID) to measure postoperative improvement. MCID is a calculated value that represents the smallest magnitude of change that a patient perceives as beneficial.4 The clinical relevance of this metric has prompted others to investigate contributing factors for failure to achieve an MCID. Narain et al investigated these risk factors in patients undergoing anterior cervical discectomy and fusion, reporting a Charlson Comorbidity Index (CCI) ≥2 to be associated with a significantly lower rate of achieving MCID for visual analog scale (VAS) arm pain.5 Additionally, Hijji et al reported worker’s compensation status to be negatively associated with MCID achievement for VAS back pain in those undergoing minimally invasive transforaminal lumbar interbody fusion (TLIF).6 While both of these studies make important contributions to understanding MCID achievement in the spine population, their focus on anterior cervical discectomy and fusion and TLIF limits their applicability to risk factors associated with fusion procedures only. Alternatively, lumbar decompression (LD) is another common surgical intervention used to treat low back pain. While there are similarities between LD and fusions, the two often have different indications and recovery times. Minimally invasive surgery (MIS) LD is used to to treat lumbar stenosis and neurogenic claudication, and it has demonstrated prolonged durability and lower reoperation rates than fusions and other spinal procedures.7 In contrast to fusions, LD is indicated when a patient does not demonstrate instability or deformity prior to surgery.8 Additionally, time until return to work for decompression patients has been reported to be as soon as 10 days postoperatively,9 while MIS-TLIF patients may take as long as 3 months to return to work.10 Given these substantial differences, it is necessary to assess MCID risk factors within the LD population specifically. Risk factors for unfavorable outcomes following LD have been reported in past studies. Potential predictors include radiographic characteristics,11–13 preoperative spinal pathologies such as double disc herniations,14 and increased preoperative back pain.15,16 However, these studies focused on the absolute values of PROM scores and were unable to account for the patient’s perception of outcomes by utilizing MCID. More recent studies have attempted to address this problem, reporting that worse preoperative disability scores were associated with more favorable outcomes and achievements of MCID.17 However, investigators limit their risk factor analysis to pain and disability. Therefore, the aim of the current study is to address this shortcoming through a more comprehensive risk factor analysis of pain, disability, and physical function PROMs. Through this analysis, we will elucidate potential risk factors associated with failure to achieve MCID following MIS LD. ## MATERIALS AND METHODS ### Patient Inclusion and Exclusion Criteria Prior to starting this study, per institutional and ethical guidelines, both Institutional Review Board approval (ORA 1405301) and written patient-informed consent were obtained. An established surgical registry that is prospectively updated was used for a retrospective review of eligible lumbar spine procedures performed between May 2005 and May 2020. Patients who underwent primary, single, or multilevel MIS LD were included in the study. Patients who underwent surgical treatment indicated for malignancy, infection, or trauma were excluded. Additionally, individuals who were missing preoperative PROMs or failed to complete any postoperative PROMs by 1 year were excluded from analysis. ### Surgical Procedure All included procedures were stand alone LDs without fusion. Decompression procedures were separated into either a laminectomy, discectomy, or laminectomy and discectomy. All patients also underwent a foraminotomy and facetectomy in conjunction with both laminectomy and discectomy procedures. All procedures were performed at either a hospital-based outpatient center or ambulatory surgical center by a single attending physician. ### Data Collection Patient demographic and perioperative information were collected for all patients included in this study. Demographic information entailed age, body mass index (BMI), and smoker and diabetic status at the time of the preoperative examination, American Society of Anesthesiologists (ASA) physical classification score, comorbidity burden as scored by ageless CCI, and insurance collected. Perioperative information included total operative length (skin incision to skin closure), estimated intraoperative blood loss (EBL), length of postoperative hospital stay, total number of operative levels, and associated spinal pathology. The primary outcome of interest for this study was achievement of MCID of select PROMs for pain, disability, and physical function. Pain was evaluated using the VAS for back and leg pain. Disability was evaluated using the Oswestry Disability Index (ODI). Physical function was assessed using both the 12-item short form physical component summary (SF-12 PCS) and the patient-reported outcomes measurement information system physical function (PROMIS PF) questionnaire. All outcome measures were collected at a preoperative timepoint as their baseline, as well as at 6 weeks, 12 weeks, 6 months, and 1 year postoperatively. All PROMs were assigned and completed at the appropriate timepoint either during follow-up appointments or through a private online portal using a personal device. Using the collected values for PROMs, achievement of MCID was evaluated by first calculating the change in postoperative values from the respective baseline and comparing the difference to established MCID thresholds. The following values were used to determine achievement of MCID: VAS back = 1.2,18 VAS leg = 1.6,18 ODI = 12.8,18 SF-12 PCS = 4.9,18 and PROMIS PF = 8.0.19 ### Statistical Analysis Descriptive statistics were performed for all demographic and perioperative variables. Improvement from baseline values was evaluated for all PROMs at each postoperative timepoint using a paired *t* test. To determine relative risk of demographic and perioperative characteristics for failure to reach an MCID by 1 year for each PROM, bivariate analysis was performed using a Poisson logistic regression for robust error variance. Following the bivariate analysis, a least absolute shrinkage and selection operator (LASSO) was used to estimate individual demographic or perioperative variables that are associated with failure to reach and MCID by 1 year. Postestimation logistic regression was performed to determine the effect of the covariates identified by LASSO on failure to reach an overall MCID. All statistical analyses were performed using StataMP 16.1 (StataCorp LLC, College Station, TX). A *P* value was set at 0.050 for significance. ## RESULTS ### Baseline Demographics and Perioperative Information A total of 941 patients were identified as eligible for this study. Following inclusion and exclusion criteria, a total of 811 patients were included in our study. The patient cohort had a mean age of 44.6 years, 70.1% were men, and 60.4% were nonobese (BMI < 30 kg/m2). The majority of patients underwent a single-level procedure (81.7%), and mean operative duration was 45.7 minutes with an mean EBL of 31.4 mL and mean length of stay of 5.7 hours. The major spinal pathology associated with most patients was herniated nucleus pulposus (77.1%) (Table 1). View this table: [Table 1](http://ijssurgery.com//content/16/1/51/T1) Table 1 Patient baseline characteristics. ### Back and Leg Pain Prior to analysis, patients were excluded for missing health questionnaires for VAS back and VAS leg, resulting in the analysis of 712 patients for VAS back and 494 for VAS leg. Both VAS back and VAS leg demonstrated significant improvement from baseline values at all postoperative timepoints (all *P* < 0.001; Table 2). View this table: [Table 2](http://ijssurgery.com//content/16/1/51/T2) Table 2 Improvement of outcome measures. Overall failure rate for MCID achievement was 28.2% for VAS back and 20.7% for VAS leg. The bivariate analysis identified ageless CCI (RR = 1.4; 95% CI [1.1–1.7], *P* = 0.007) and type of insurance (RR = 1.4; 95% CI [1.1–1.6]; *P* = 0.001) as risk factors for failure to reach an MCID by 1 year for VAS back (Table 3). Risk factors for failure to reach an MCID for VAS leg included age (RR = 1.4; 95% CI [1.1–1.8]; *P* = 0.015), ageless CCI (RR = 1.5; 95% CI [1.2–1.9]; *P* = 0.005), EBL (RR = 1.9; 95% CI [1.4–2.6]; *P* = 0.001), number of operative levels (RR = 1.7; 95% CI [1.3–2.3]; *P* = 0.001), performing a laminectomy without discectomy (RR = 1.6; 95% CI [1.2–2.0]; *P* = 0.001), performing a laminectomy with discectomy (RR = 0.6; 95% CI [0.5–0.8]; *P* = 0.001), diagnosis of herniated nucleus pulposus (RR = 0.6; 95% CI [0.5–0.9]; *P* = 0.003), central stenosis (RR = 1.5; 95% CI [1.1–2.0]; *P* = 0.008), and foraminal stenosis (RR = 1.3; 95% CI [1.1–1.7]; *P* = 0.042) (Table 4). View this table: [Table 3](http://ijssurgery.com//content/16/1/51/T3) Table 3 Bivariate analysis achievement for VAS back. View this table: [Table 4](http://ijssurgery.com//content/16/1/51/T4) Table 4 Bivariate analysis achievement for VAS leg. ### Disability Prior to analysis, patients were excluded for missing health questionnaires for ODI resulting in the analysis of 494 patients. ODI demonstrated a significant improvement from baseline values at all postoperative timepoints (Table 2) and had an overall failure rate for MCID achievement of 26.8%. Risk factors for failure to reach an ODI MCID included age (RR = 1.6; 95% CI [1.3–2.0]; *P* = 0.001), ageless CCI (RR = 1.6; 95% CI [1.3–2.1]; *P* = 0.001), number of operative levels (RR = 1.7; 95% CI [1.3–2.1]; *P* = 0.001), performing a laminectomy without discectomy (RR = 1.5; 95% CI [1.1–1.9]; *P* = 0.001), and a spinal pathology of herniated nucleus pulposus (HNP) (RR = 0.6; 95% CI [0.5–0.9]; *P* = 0.003) or central stenosis (RR = 1.8; 95% CI [1.4–2.3]; *P* = 0.001) or foraminal stenosis (RR = 1.4; 95% CI [1.1–1.7]; *P* = 0.003) (Table 5). View this table: [Table 5](http://ijssurgery.com//content/16/1/51/T5) Table 5 Bivariate analysis achievement for ODI. ### Physical Function Prior to analysis, patients were excluded for missing health questionnaires for SF-12 PCS and PROMIS PF resulting in analysis of 446 and 306 patients, respectively. Physical function outcome measures both demonstrated significant improvements from preoperative values at majority of postoperative timepoints (all *P* < 0.001) (Table 2). SF-12 PCS had an overall failure rate for MCID achievement of 22.2%, and PROMIS PF had an overall failure rate of 17.0%. Risk factors for failure to reach an MCID for SF-12 PCS included age (RR = 1.3; 95% CI [1.1–1.7]; *P* = 0.035), operative length (RR = 0.7; 95% CI [0.5–0.9]; *P* = 0.025), and a spinal pathology of HNP (RR = 0.7; 95% CI [0.6–1.01]; *P* = 0.050), central and foraminal stenosis (RR = 2.0; 95% CI [1.5–2.8]; *P* = 0.001) (Table 6). Risk factors for failure to reach an MCID for PROMIS PF included BMI (RR = 1.4; 95% CI [1.1–1.7]; *P* = 0.002), number of operative levels (RR = 1.4; 95% CI [1.2–1.7]; *P* = 0.001), and a spinal pathology of HNP (RR = 0.8; 95% CI [0.6–0.9]; *P* = 0.015) (Table 7). View this table: [Table 6](http://ijssurgery.com//content/16/1/51/T6) Table 6 Bivariate analysis achievement for SF-12 PCS. View this table: [Table 7](http://ijssurgery.com//content/16/1/51/T7) Table 7 Bivariate analysis achievement for PROMIS PF. ### Postestimation Regression Analysis LASSO estimated a number of potential covariates for each PROM which are summarized in Table 8. Demographic and perioperative variables identified by LASSO were included in a postestimation logistic regression to determine their relative risk for failure to achieve an overall MCID for each PROM. For VAS back, insurance was identified as a significant risk factor (RR = 1.7; 95% CI [1.2–2.3]; *P* = 0.001). For VAS leg, ageless CCI (RR = 1.6; 95% CI [1.1–2.3]; *P* = 0.024), EBL (RR = 0.9; 95% CI [0.9–0.9]; *P* = 0.001), and a spinal pathology of HNP (RR = 0.6; 95% CI [0.4–0.9]; *P* = 0.032) were significant covariates for failure to achieve an MCID. For ODI, age (RR = 1.1; 95% CI [1.01–1.01]; *P* = 0.032), ageless CCI (RR = 2.2; 95% CI [1.4–3.5]; *P* = 0.001), and EBL (RR = 0.9; 95% CI [0.9–0.9]; *P* = 0.001) were significant risk factors for failure to achieve an MCID. View this table: [Table 8](http://ijssurgery.com//content/16/1/51/T8) Table 8 Multiple regression analysis for MCID achievement. Postestimation regression analysis for physical function outcome measures identified spinal pathology of HNP (RR = 0.5; 95% CI [0.3–0.8]; *P* = 0.016) as a risk factor for failure to reach an MCID for SF-12 PCS; whereas, only insurance collected (RR = 0.3; 95% CI [0.2–0.5]; *P* = 0.001) and EBL (RR = 4.5; 95% CI [1.1–17.6]; *P* = 0.027) were significant risk factors for PROMIS PF. Among all postestimation regression analyses, EBL was a significant risk factor for failure to achieve an MCID among the majority of PROMs except VAS back and SF-12 PCS. ## DISCUSSION Traditionally, patient improvement has been gauged based on both radiographic measures and clinical evaluations. Over time, PROMs have become an additional asset to the evaluation of postoperative improvement. However, while PROMs may provide statistical insight into a significant change in symptoms, MCID may provide a more patient-centered assessment of a clinically important change. Understanding risk factors associated with failure to achieve an MCID may allow surgeons greater insight as to which individuals are most likely to experience meaningful benefits from surgery. While previous studies have established risk factor assessment following both cervical and transforaminal lumbar fusions,5,6 LD constitutes both a different procedure as well as a different subset of indications. This study investigated the demographic and perioperative characteristics that may contribute to a higher risk for failure to achieve an MCID for five different commonly used PROMs. We present the most prevalent risk factors for failure to achieve an MCID as they relate to patient demographics, operative characteristics, and underlying spinal pathology. Among the 5 PROMs assessed for failure to reach an MCID, all outcome measures demonstrated that a majority of patients (>80%) were able to achieve a clinically important difference. For those patients who were unable to achieve an MCID, the demographic variables which had the most significant impact were largely factors which contribute to comorbidity burden. More specifically, ageless CCI was the most common significant risk factor across all PROMs, except PROMIS PF, and age similarly increased the risk for failure to achieve an MCID for all outcome measures except VAS back. Although few, if any, previous studies have examined MCID risk factors for MIS LD, a number of investigators have suggested that comorbidity burden increases risk for unfavorable outcomes in a number of outcome measures. Paulsen et al20 reported that poorer satisfaction following decompression surgery for spinal stenosis was associated with patient comorbidities, smoking, and duration of symptoms. A similar finding was demonstrated in a study of laminectomy patients where a lower CCI was also associated with an overall favorable functional outcome.21 However, other studies have suggested that CCI does not predict worse outcomes for lower back pain and disability and instead suggest that BMI may be a stronger factor.22 Even with contrasting results, our analysis demonstrated that the comorbidity burden placed patients at increased risk for failed achievement of an MCID for not just one but multiple PROMs. This may indicate that special considerations or patient counseling should be made for patients who carry a larger comorbidity burden. Although age is a part of the CCI score, we opted to analyze the ageless CCI to determine the effect of advanced age on risk for MCID failure in isolation. Not surprisingly, age, as a risk factor for failure to achieve an MCID, coincided with PROMs that also identified ageless CCI as a risk factor. Although age is a well-known risk factor for poorer outcomes, only a select few studies have established this for LD outcomes. Krutko et al23 reported that younger patients had a “more successful” treatment for lumbar disc herniations and was substantiated by a study that reported that deterioration of outcomes, defined as an 8-point increase in ODI, was associated with age, smoking, ASA score, and previous operations at the same or other lumbar levels.24 This result is of interest because of the age cutoff we set at 50 years. Trends in lumbar disc herniation indicate that the highest incidence of lumbar disc herniation occurs in the lower lumbar spine in patients aged 25–55 years, but other studies demonstrate that it has a smaller impact among elderly patients.25,26 Regardless, it can be inferred that the elderly may need to curb expectations and clinicians may need to adjust their preclinical counseling for MIS LD patients. Interestingly, although not specifically included in the CCI, BMI was also identified as a risk factor only for PROMIS PF. Previous studies among decompression patients were able to also identify BMI as a risk factor for poorer operative outcomes and failure to reach an MCID following MIS LD.27 One of the most interesting aspects of this study was identifying insurance status as a potential risk factor influencing MCID failure for VAS back. This relationship was also estimated by LASSO and confirmed by postestimation regression analysis. More specifically, being listed as having workers’ compensation was associated with an increased risk for MCID failure, which may be attributed to more severe nonage-related spinal pathology of the intervertebral disc space in this population. Previous MCID studies reported that worker’s compensation was a risk factor for outcomes in transforaminal lumbar fusion patients6 and was similarly identified in a systematic review, which established the association between compensation status and poorer postoperative outcomes.28,29 Other studies also implicate insurance collected as a prognostic factor, as achievement of MCID and sustained improvement of lower back pain following decompression surgery was reportedly associated with lack of compensation claims and absence of narcotic usage.30 Furthermore, Koerner et al31 also demonstrated that having no litigation pending and use of nonworkers’ compensation payment sources were associated with better treatment effects at 2 years. With a depth of evidence, these results, in addition to our results, may indicate that workers’ compensation patients endure a more severe spinal pathology and therefore a lower chance of achieving an MCID. Unfortunately, workers’ compensation status is beyond the control of surgeons and may be relatively nonmodifiable, but our study demonstrated that a number of modifiable operative characteristics were associated with failure to achieve an MCID and may be of greater interest. Categorization of an LD procedure may vary across different providers; however in the current study, procedures were limited to laminectomy, discectomy, or a combination of both performed in conjunction with foraminotomy and facetectomy. Patients who underwent a laminectomy procedure without discectomy were noted to have an increased risk for failing to achieve an MCID for VAS leg and ODI only. These results also coincide with both central and foraminal stenosis being significant risk factors for failed VAS leg MCID achievement. Previous studies comparing revision rates between decompression and fusion patients noted that at 1 year, rates were higher among patients who underwent an index-level decompression surgery, which included laminectomy alone, as compared to spinal fusion procedures.32 However, authors of the same study noted that revision rates by the 4-year timepoint were identical. It may be inferred by these results that laminectomy with foraminotomy and facetectomy for the treatment of degenerative changes may require additional recovery time to resolve leg pain and associated disability. It is also interesting to note that performing a laminectomy and discectomy demonstrated a protective effect for failing to achieve an MCID for leg pain and physical function; however, only results for VAS leg reached significance. This coincides with the observation that a spinal pathology of HNP also was protective against failed MCID. Operative characteristics such as blood loss, number of levels decompressed, and underlying spinal pathology are significant risk factors for failure to reach an MCID following MIS LD. Although operative time and blood loss are believed to be associated with one another, there was no direct correlation between operative variables. However, these operative risk factors have both demonstrated negative impacts on postoperative outcomes and been associated with increased incidence of complications. A large spine surgical registry study evaluated over 4000 patients who were treated for lumbar spinal stenosis and determined that in addition to increased VAS back pain at baseline, the vertebral levels involved were associated with negative outcomes.16 Alternatively, there is evidence that the invasiveness of a surgical procedure, number of levels decompressed, fused, or instrumented and approach type may predict risk for poorer outcomes.33 Interestingly, among our results, EBL and number of levels decompressed were suggested as risk factors for only VAS leg, ODI, and PROMIS PF, a finding supported by LASSO postestimations for VAS leg and PROMIS PF only. These results suggest that for a common procedure such as MIS LD, operative characteristics that may prolong the procedure and increase blood loss can result in lower chance of reaching an overall MCID. This finding places further emphasis on the surgeon’s ability to discern the necessity of an additional operative level and may aid in providing guidance for future multilevel MIS LD procedures. MIS LD is believed to be an effective treatment for symptomatic lower back pain. However, the current study suggests that the spinal pathology clinical symptoms may predict risk of failure to achieve an MCID for a number of commonly used PROMs. Of particular interest is the reduced risk that was associated with having a spinal diagnosis of HNP for all PROMs except for VAS back. This was further supported by our results from LASSO, which suggested HNP was a protective factor for VAS leg and SF-12 PCS. Among the most common spinal diagnoses in our cohort, HNP is believed to be highly amenable to treatment, with numerous studies reporting favorable surgical outcomes. Although our study does support these findings, the severity of herniation must be addressed as a number of studies have suggested its influence on postoperative outcomes. Specifically, transligamentous, caudal migrations, or large annular defects can lead to increased recurrence of herniations and poorer outcomes.34–37 Given that our cohort demonstrated a reduced relative risk associated with HNP, it may be presumed that these patients underwent treatment of relatively uncomplicated symptomatic disc herniations. Collectively, these results suggest that more complex spinal pathologies and procedures may increase the risk for a failed MCID. Use of MCID to objectively assess postoperative outcomes may provide benefits to the clinician, but it also has its share of limitations. Achievement of MCID may provide context to the magnitude of improvement in terms of patient satisfaction, as prior studies have anchored their established thresholds on satisfaction questionnaires.38–40 Although achievement and nonachievement may represent a “satisfied” and “not-satisfied” patient, there are inherent limitations to this type of analysis, and may not be a suitable replacement for other objective measures such as physical function tests (time to ambulation, dynamometer, range of motion, and gait assessment). Even though the current study provides potential baseline characteristics that are associated with a failure to achieve a meaningful difference, from the perspective of the patient, it may not be a suitable replacement of continuous measures that other clinicians may rely on to determine the acceptable level of postoperative improvement. ### Limitations There are a number of limitations that must be considered when interpreting our results. First, generalizability is restricted because all procedures were performed at a single institution by a single fellowship-trained spine surgeon. Additionally, as with any self-reported outcomes, our results may be at risk for bias, which could potentially skew our reported MCID achievement rates. Another limitation involves the use of MCID achievement, whereby the values were obtained from established studies. These values may vary based on the methodology used to calculate MCID values. Whether an anchor-based method or a distribution-based method was used can cause variation and may alter the proportion of patients who have or have not achieved an MCID for our study. ## CONCLUSION Patients undergoing MIS LD may have a number of different risk factors for failure to reach an MCID for commonly used PROMs. VAS back demonstrated the largest number of risk factors for failure to reach an MCID. Age, comorbidity burden, blood loss, and number of operative levels were among the most common risk factors for failure to reach an MCID across all PROMs. Additionally, use of LASSO substantiated the comorbidity burden, spinal diagnosis of HNP, and EBL as potential risk factors for failure to reach an MCID for the majority of PROMs. These results suggest that patients with a combination of greater comorbidity burden and higher risk operative characteristics may experience limited or prolonged postoperative recovery following MIS LD. ## Footnotes * Funding No funds were received in support of this work. * Declaration of Conflicting Interests No benefits in any form have been or will be received from any commercial party related directly or indirectly to the subject of this manuscript. * IRB approval ORA #14051301 * Financial Disclosures Kern Singh discloses that he has received grants or contracts from the Cervical Spine Research Society; royalties or licenses from RTI Surgical, Zimmer Biomet, Stryker, Lippincott Williams & Wilkins, Theime, Jaypee Publishing, and Slack Publishing; consulting fees from K2M and Zimmer Biomet; patents planned, issued, or pending with TDi LLC; and leadership or fiduciary role on Vitals 5 LLC, TDi LLC, Minimally Invasive Spine Study Group, Contemporary Spine Surgery, Orthopedics Today, and Vertebral Columns. The rest of the authors have no financial disclosures. * This manuscript is generously published free of charge by ISASS, the International Society for the Advancement of Spine Surgery. Copyright © 2022 ISASS. To see more or order reprints or permissions, see [http://ijssurgery.com](http://ijssurgery.com). ## References 1. 1.GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016;388(10053):1545–1602. doi:10.1016/S0140-6736(16)31678-6 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1016/S0140-6736(16)31678-6&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=27733282&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom) 2. 2. Katz JN . Lumbar disc disorders and low-back pain: socioeconomic factors and consequences. J Bone Joint Surg Am. 2006;88 Suppl 2:21–24. doi:10.2106/JBJS.E.01273 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.2106/JBJS.E.01273&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=http://www.n&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom) 3. 3. McCormick JD , Werner BC , Shimer AL . Patient-reported outcome measures in spine surgery. J Am Acad Orthop Surg. 2013;21(2):99–107. doi:10.5435/JAAOS-21-02-99 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.5435/JAAOS-21-02-99&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=23378373&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom) 4. 4. Chung AS , Copay AG , Olmscheid N , Campbell D , Walker JB , Chutkan N . Minimum clinically important difference: current trends in the spine literature. Spine (Phila Pa 1976). 2017;42(14):1096–1105. doi:10.1097/BRS.0000000000001990 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1097/BRS.0000000000001990&link_type=DOI) 5. 5. Narain AS , Hijji FY , Khechen B , et al . Risk factors associated with failure to reach minimal clinically important difference in patient-reported outcomes following anterior cervical discectomy and fusion. Int J Spine Surg. 2019;13(3):262–269. doi:10.14444/6035 [Abstract/FREE Full Text](http://ijssurgery.com//lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6NDoiaWpzcyI7czo1OiJyZXNpZCI7czo4OiIxMy8zLzI2MiI7czo0OiJhdG9tIjtzOjE4OiIvaWpzcy8xNi8xLzUxLmF0b20iO31zOjg6ImZyYWdtZW50IjtzOjA6IiI7fQ==) 6. 6. Hijji FY , Narain AS , Bohl DD , et al . Risk factors associated with failure to reach minimal clinically important difference in patient-reported outcomes following minimally invasive transforaminal lumbar interbody fusion for spondylolisthesis. Clin Spine Surg. 2018;31(1):E92–E97. doi:10.1097/BSD.0000000000000543 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1097/BSD.0000000000000543&link_type=DOI) 7. 7. Staats PS , Chafin TB , Golovac S , et al . Long-Term safety and efficacy of minimally invasive lumbar decompression procedure for the treatment of lumbar spinal stenosis with neurogenic claudication: 2-year results of MiDAS ENCORE. Reg Anesth Pain Med. 2018;43(7):789–794. doi:10.1097/AAP.0000000000000868 [Abstract/FREE Full Text](http://ijssurgery.com//lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6NDoicmFwbSI7czo1OiJyZXNpZCI7czo4OiI0My83Lzc4OSI7czo0OiJhdG9tIjtzOjE4OiIvaWpzcy8xNi8xLzUxLmF0b20iO31zOjg6ImZyYWdtZW50IjtzOjA6IiI7fQ==) 8. 8. Donnarumma P , Tarantino R , Nigro L , et al . Decompression versus decompression and fusion for degenerative lumbar stenosis: analysis of the factors influencing the outcome of back pain and disability. J Spine Surg. 2016;2(1):52–58. doi:10.21037/jss.2016.03.07 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.21037/jss.2016.03.07&link_type=DOI) 9. 9. Lewandrowski K-U , Ransom NA , Yeung A . Return to work and recovery time analysis after outpatient endoscopic lumbar transforaminal decompression surgery. J Spine Surg. 2020;6(Suppl 1):S100–S115. doi:10.21037/jss.2019.10.01 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.21037/jss.2019.10.01&link_type=DOI) 10. 10. Eckman WW , Hester L , McMillen M . Same-day discharge after minimally invasive transforaminal lumbar interbody fusion: a series of 808 cases. Clin Orthop Relat Res. 2014;472(6):1806–1812. doi:10.1007/s11999-013-3366-z [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1007/s11999-013-3366-z&link_type=DOI) 11. 11. Haimoto S , Nishimura Y , Hara M , et al . Clinical and radiological outcomes of microscopic lumbar foraminal decompression: a pilot analysis of possible risk factors for restenosis. Neurol Med Chir (Tokyo). 2018;58(1):49–58. doi:10.2176/nmc.oa.2017-0121 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.2176/nmc.oa.2017-0121&link_type=DOI) 12. 12. Cho S-I , Chough C-K , Choi S-C , Chon JY . Corrigendum to “Microsurgical foraminotomy via wiltse paraspinal approach for foraminal or extraforaminal stenosis at L5-S1 level: risk factor analysis for poor outcome” by Cho SI, et al. (J Korean Neurosurg Soc 59: 610-614, 2016). J Korean Neurosurg Soc. 2018;61(4):610–614. DOI: doi: 10.3340/jkns.2016.59.6.610.e1. [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.3340/jkns.2016.59.6.610.e1&link_type=DOI) 13. 13. Spratt KF , Keller TS , Szpalski M , Vandeputte K , Gunzburg R . A predictive model for outcome after conservative decompression surgery for lumbar spinal stenosis. Eur Spine J. 2004;13(1):14–21. doi:10.1007/s00586-003-0583-2 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1007/s00586-003-0583-2&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=14658061&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom) [Web of Science](http://ijssurgery.com//lookup/external-ref?access_num=000188748300003&link_type=ISI) 14. 14. Chang S-B , Lee S-H , Ahn Y , Kim J-M . Risk factor for unsatisfactory outcome after lumbar foraminal and far lateral microdecompression. Spine (Phila Pa 1976). 2006;31(10):1163–1167. doi:10.1097/01.brs.0000216431.69359.91 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1097/01.brs.0000216431.69359.91&link_type=DOI) 15. 15. Kleinstück FS , Grob D , Lattig F , et al . The influence of preoperative back pain on the outcome of lumbar decompression surgery. Spine (Phila Pa 1976). 2009;34(11):1198–1203. doi:10.1097/BRS.0b013e31819fcf35 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1097/BRS.0b013e31819fcf35&link_type=DOI) 16. 16. Aghayev E , Mannion AF , Fekete TF , et al . Risk factors for negative global treatment outcomes in lumbar spinal stenosis surgery: a mixed effects model analysis of data from an international spine registry. World Neurosurg. 2020;136:e270–e283. doi:10.1016/j.wneu.2019.12.147 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1016/j.wneu.2019.12.147&link_type=DOI) 17. 17. Kim G-U , Park J , Kim H-J , et al . Definitions of unfavorable surgical outcomes and their risk factors based on disability score after spine surgery for lumbar spinal stenosis. BMC Musculoskelet Disord. 2020;21(1):288. doi:10.1186/s12891-020-03323-0 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1186/s12891-020-03323-0&link_type=DOI) 18. 18. Copay AG , Glassman SD , Subach BR , Berven S , Schuler TC , Carreon LY . Minimum clinically important difference in lumbar spine surgery patients: a choice of methods using the Oswestry Disability Index, Medical Outcomes Study questionnaire Short Form 36, and pain scales. Spine J. 2008;8(6):968–974. doi:10.1016/j.spinee.2007.11.006 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1016/j.spinee.2007.11.006&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=18201937&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom) [Web of Science](http://ijssurgery.com//lookup/external-ref?access_num=000260970600014&link_type=ISI) 19. 19. Steinhaus ME , Iyer S , Lovecchio F , et al . Minimal clinically important difference and substantial clinical benefit using PROMIS CAT in cervical spine surgery. Clin Spine Surg. 2019;32(9):392–397. doi:10.1097/BSD.0000000000000895 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1097/BSD.0000000000000895&link_type=DOI) 20. 20. Paulsen RT , Bouknaitir JB , Fruensgaard S , Carreon L , Andersen M . Prognostic factors for satisfaction after decompression surgery for lumbar spinal stenosis. Neurosurgery. 2018;82(5):645–651. doi:10.1093/neuros/nyx298 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1093/neuros/nyx298&link_type=DOI) 21. 21. Foulongne E , Derrey S , Ould Slimane M , et al . Lumbar spinal stenosis: which predictive factors of favorable functional results after decompressive laminectomy? Neurochirurgie. 2013;59(1):23–29:doi:10.1016/j.neuchi.2012.09.005 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1016/j.neuchi.2012.09.005&link_type=DOI) 22. 22. Athiviraham A , Wali ZA , Yen D . Predictive factors influencing clinical outcome with operative management of lumbar spinal stenosis. Spine J. 2011;11(7):613–617. doi:10.1016/j.spinee.2011.03.008 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1016/j.spinee.2011.03.008&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=21482198&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom) 23. 23. Krutko AV , Sanginov AJ , Baykov ES . Predictors of treatment success following limited discectomy with annular closure for lumbar disc herniation. Int J Spine Surg. 2020;14(1):38–45. doi:10.14444/7005 [Abstract/FREE Full Text](http://ijssurgery.com//lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6NDoiaWpzcyI7czo1OiJyZXNpZCI7czo3OiIxNC8xLzM4IjtzOjQ6ImF0b20iO3M6MTg6Ii9panNzLzE2LzEvNTEuYXRvbSI7fXM6ODoiZnJhZ21lbnQiO3M6MDoiIjt9) 24. 24. Nerland US , Jakola AS , Giannadakis C , et al . The risk of getting worse: predictors of deterioration after decompressive surgery for lumbar spinal stenosRisk of Getting Worse: Predictors of Deterioration After Decompressive Surgery for Lumbar Spinal Stenosis: A Multicenter Observational Study. World Neurosurg. 2015;84(4):1095–1102. doi:10.1016/j.wneu.2015.05.055. [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1016/j.wneu.2015.05.055&link_type=DOI) 25. 25. Jordan J , Morgan TS , Weinstein J , Konstantinou K . Herniated lumbar disk. Am Fam Physician. 2006;73(7):1240 26. 26. Ma D , Liang Y , Wang D , et al . Trend of the incidence of lumbar disc herniation: decreasing with aging in the elderly. Clin Interv Aging. 2013;8:1047–1050. doi:10.2147/CIA.S49698 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.2147/CIA.S49698&link_type=DOI) 27. 27. Giannadakis C , Nerland US , Solheim O , et al . Does obesity affect outcomes after decompressive surgery for Lumbar spinal stenosis? A multicenter, observational, registry-based study. World Neurosurg. 2015;84(5):1227–1234. doi: 10.1016/j.wneu.2015.06.020. [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1016/j.wneu.2015.06.020&link_type=DOI) 28. 28. Harris I , Mulford J , Solomon M , van Gelder JM , Young J . Association between compensation status and outcome after surgery: a meta-analysis. JAMA. 2005;293(13):1644–1652. doi:10.1001/jama.293.13.1644 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1001/jama.293.13.1644&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=15811984&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom) [Web of Science](http://ijssurgery.com//lookup/external-ref?access_num=000228135300027&link_type=ISI) 29. 29. Harris IA , Dantanarayana N , Naylor JM . Spine surgery outcomes in a workers’ compensation cohort. ANZ J Surg. 2012;82(9):625–629. doi:10.1111/j.1445-2197.2012.06152.x [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1111/j.1445-2197.2012.06152.x&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=22882708&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom) 30. 30. Srinivas S , Paquet J , Bailey C , et al . Effect of spinal decompression on back pain in lumbar spinal stenosis: a Canadian Spine Outcomes Research Network (CSORN) study. Spine J. 2019;19(6):1001–1008. doi:10.1016/j.spinee.2019.01.003 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1016/j.spinee.2019.01.003&link_type=DOI) 31. 31. Koerner JD , Glaser J , Radcliff K . Which variables are associated with patient-reported outcomes after discectomy? Review of SPORT disc herniation studies. Clin Orthop Relat Res. 2015;473(6):2000–2006. doi:10.1007/s11999-014-3671-1 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1007/s11999-014-3671-1&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=24818737&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom) 32. 32. Deyo RA , Martin BI , Kreuter W , Jarvik JG , Angier H , Mirza SK . Revision surgery following operations for lumbar stenosis. J Bone Joint Surg Am. 2011;93(21):1979–1986. doi:10.2106/JBJS.J.01292 [Abstract/FREE Full Text](http://ijssurgery.com//lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6NjoiamJqc2FtIjtzOjU6InJlc2lkIjtzOjEwOiI5My8yMS8xOTc5IjtzOjQ6ImF0b20iO3M6MTg6Ii9panNzLzE2LzEvNTEuYXRvbSI7fXM6ODoiZnJhZ21lbnQiO3M6MDoiIjt9) 33. 33. Lee MJ , Hacquebord J , Varshney A , et al . Risk factors for medical complication after lumbar spine surgery: a multivariate analysis of 767 patients. Spine (Phila Pa 1976). 2011;36(21):1801–1806. doi:10.1097/brs.0b013e318219d28d [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1097/brs.0b013e318219d28d&link_type=DOI) 34. 34. Li Z , Yang H , Liu M , et al . Clinical characteristics and risk factors of recurrent lumbar disk herniation: a retrospective analysis of three hundred twenty-one cases. Spine (Phila Pa 1976). 2018;43(21):1463–1469. doi:10.1097/BRS.0000000000002655 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1097/BRS.0000000000002655&link_type=DOI) 35. 35. Jung YS , Choi HJ , Kwon Y-M . Clinical outcome and influencing factor for repeat lumbar discectomy for ipsilateral recurrent lumbar disc herniation. Korean J Spine. 2012;9(1):1–5. doi:10.14245/kjs.2012.9.1.1 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.14245/kjs.2012.9.1.1&link_type=DOI) 36. 36. Kim K-T , Lee D-H , Cho D-C , Sung J-K , Kim Y-B . Preoperative risk factors for recurrent lumbar disk herniation in L5-S1. J Spinal Disord Tech. 2015;28(10):E571-7. doi:10.1097/BSD.0000000000000041 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1097/BSD.0000000000000041&link_type=DOI) 37. 37. Matsumoto M , Watanabe K , Hosogane N , et al . Recurrence of lumbar disc herniation after microendoscopic discectomy. J Neurol Surg A Cent Eur Neurosurg. 2013;74(4):222–227. doi:10.1055/s-0032-1320031 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1055/s-0032-1320031&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=23250873&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom) 38. 38. Copay AG , Glassman SD , Subach BR , Berven S , Schuler TC , Carreon LY . Minimum clinically important difference in lumbar spine surgery patients: a choice of methods using the Oswestry Disability Index, Medical Outcomes Study questionnaire Short Form 36, and pain scales. Spine J. 2008;8(6):968–974. doi:10.1016/j.spinee.2007.11.006 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.1016/j.spinee.2007.11.006&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=18201937&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom) [Web of Science](http://ijssurgery.com//lookup/external-ref?access_num=000260970600014&link_type=ISI) 39. 39. Parker SL , Adogwa O , Paul AR , et al . Utility of minimum clinically important difference in assessing pain, disability, and health state after transforaminal lumbar interbody fusion for degenerative lumbar spondylolisthesis. J Neurosurg Spine. 2011;14(5):598–604. doi:10.3171/2010.12.SPINE10472 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.3171/2010.12.spine10472&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=21332281&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom) [Web of Science](http://ijssurgery.com//lookup/external-ref?access_num=000289914100008&link_type=ISI) 40. 40. Parker SL , Mendenhall SK , Shau DN , et al . Minimum clinically important difference in pain, disability, and quality of life after neural decompression and fusion for same-level recurrent lumbar stenosis: understanding clinical versus statistical significance. J Neurosurg Spine. 2012;16(5):471–478. doi:10.3171/2012.1.SPINE11842 [CrossRef](http://ijssurgery.com//lookup/external-ref?access_num=10.3171/2012.1.SPINE11842&link_type=DOI) [PubMed](http://ijssurgery.com//lookup/external-ref?access_num=22324801&link_type=MED&atom=%2Fijss%2F16%2F1%2F51.atom)