Loading [Contrib]/a11y/accessibility-menu.js
Skip to main content
null
J Orthopaedic Experience & Innovation
  • Menu
  • Articles
    • Brief Report
    • Case Report
    • Data Paper
    • Editorial
    • Hand
    • Meeting Reports/Abstracts
    • Methods Article
    • Product Review
    • Research Article
    • Review Article
    • Review Articles
    • Systematic Review
    • All
  • For Authors
  • Editorial Board
  • About
  • Issues
  • Blog
  • "Open Mic" Topic Sessions
  • Advertisers
  • Recorded Content
  • CME
  • JOEI KOL Connect
  • search

RSS Feed

Enter the URL below into your favorite RSS reader.

https://journaloei.scholasticahq.com/feed
Research Article
Vol. 2, Issue 2, 2021December 16, 2021 EDT

Comparison of Clinical and Perioperative Outcomes in Patients Undergoing MIS-TLIF in Outpatient vs Inpatient Setting: Matched Cohort Analysis

Kevin C. Jacob, BS, Madhav R. Patel, BS, Andrew P. Collins, Grant Park, Nisheka N. Vanjani, BS, Hanna Pawlowski, BS, Michael C. Prabhu, BS, Jessica R. Gheewala, Kern Singh, MD,
patient-reported outcome measureslumbar fusionoutpatient
Copyright Logoccby-nc-nd-4.0
J Orthopaedic Experience & Innovation
Jacob, Kevin C., Madhav R. Patel, Andrew P. Collins, Grant Park, Nisheka N. Vanjani, Hanna Pawlowski, Michael C. Prabhu, Jessica R. Gheewala, and Kern Singh. 2021. “Comparison of Clinical and Perioperative Outcomes in Patients Undergoing MIS-TLIF in Outpatient vs Inpatient Setting: Matched Cohort Analysis.” Journal of Orthopaedic Experience & Innovation 2 (2).
Save article as...▾

View more stats

Abstract

Background

The most common technique utilized for lumbar arthrodesis in an outpatient setting is minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF). While prior studies have assessed this technique’s feasibility in an outpatient setting, there is a paucity of literature comparing long term clinical outcomes of MIS-TLIF in an outpatient versus inpatient setting. This study investigates the differences in clinical outcomes between these two settings through comparison of patient-reported outcome measures (PROMs) and minimum clinically important difference (MCID) achievement.

Methods

Primary, elective, single-level MIS-TLIF procedures performed between 2005 and 2021 for degenerative spinal pathology were identified in a surgical database. Patient demographics, perioperative characteristics, and PROM scores were collected. PROMs measuring physical function, back pain, leg pain, and disability were administered at preoperative and 6-week, 12-week, 6-month, 1-year, and 2-year postoperative time-points. Patients were grouped into two cohorts, depending on whether a patient underwent surgery in an inpatient setting or in an outpatient setting at an ambulatory surgery center (ASC) where the patient was discharged within 23 hours. Coarsened exact match was carried out to control for significant demographic differences between cohorts. Demographic and perioperative characteristics were compared among groups using chi-square and Student’s t-test for categorical and continuous variables, respectively. Mean PROM scores were compared between cohorts at each time point utilizing a two-sample t-test. Postoperative PROM improvement from preoperative baseline within each cohort was calculated with use of paired t-test. Achievement of Minimum Clinical Important Difference [MCID] was determined by comparing ΔPROM scores to previously established threshold values. Rates of MCID achievement were compared among groups using simple logistic regression.

Results

After coarsened exact matching, 227 patients were excluded and final patient cohort consisted of 391 patients – 339 patients in the Inpatient MIS-TLIF cohort and 52 patients in the Outpatient MIS-TLIF cohort (Table 2). Mean estimated blood loss (EBL), postoperative length of stay (LOS), and postoperative narcotic consumption on days 0 and 1 were observed to be significantly lower in Outpatient MIS-TLIF cohort (p<0.041, all) (Table 3). Preoperative and postoperative mean PROM scores were not significantly different for all PROMs collected (Table 5). Both cohorts demonstrated significant improvement for PROMIS-PF, SF-12 PCS, VAS back, and VAS leg at 2-year time-point from preoperative baseline (Table 4). Patients in the Inpatient MIS-TLIF cohort demonstrated greater proportion achieving MCID for overall SF-12 PCS and overall VAS back (p<0.022, all) (Table 6). No significant differences for MCID achievement rates were noted between cohorts at specific postoperative time points (Table 6). Inpatient cohort demonstrated significantly higher rates of postoperative nausea and vomiting (p=0.001) (Table 4).

Conclusion

After careful patient selection, patients undergoing MIS-TLIF in an outpatient setting demonstrated similar long term clinical outcomes for back pain, leg pain, physical function, and disability as defined by PROMs and MCID achievement. Additionally, patients in outpatient cohort demonstrated reduced postoperative narcotic consumption. Results from our study would suggest patient safety and outcome quality is not compromised from undertaking MIS-TLIF in an outpatient setting.

Introduction

Low back pain (LBP) is a prevalent condition worldwide and is known to be a leading cause of disability in adults (Hoy et al. 2014). It is reported that 50-80% of adults experience LBP at some point in their life (Rubin 2007). Although a variety of etiologies to LBP exist, most cases are mechanical in origin, arising from spinal structures such as intervertebral discs, facet joints, or paraspinal muscles (Chien and Bajwa 2008; Will, Bury, and Miller 2018; El Sayed and Callahan 2021). Conditions that involve these structures include degenerative disc disease, spinal stenosis, herniated discs, and facet joint syndrome (Chien and Bajwa 2008). Mechanical back pain often responds to conservative management, but if pain continues to persist, surgical intervention such as Lumbar Fusion, can be used to alleviate symptoms (Fritzell et al. 2002).

Of the different lumbar fusion techniques, Minimally Invasive Transforaminal Lumbar Interbody Fusion (MIS-TLIF) is a widely used procedure in the setting of degenerative disc and facet joint disease. This posterior approach allows for direct access to the required intervertebral foraminal space while minimizing iatrogenic damage to nearby nerve roots and structural ligaments (Mobbs et al. 2015). Furthermore, the minimally invasive technique only requires a single unilateral incision for proper access of discs, which has been associated with a reduction of operative time and blood loss (Cole et al. 2009; Mura et al. 2011; de Kunder et al. 2017). Due to the effectiveness of MIS-TLIF, the volume of this procedure has increased yearly in the United States and internationally (Saifi et al. 2019; Kobayashi et al. 2018).

Lumbar spinal fusions have been traditionally completed in an inpatient setting, which allows for close monitoring of postoperative recovery. The supervision of the patient from medical staff can aid in the management of potential complications while in the hospital. However, there has been an increasing trend in numerous spine procedures being completed in outpatient centers, including TLIF (Mundell et al. 2018). One of the justifications for the migration of spine procedures to outpatient settings can be attributed to cost savings (Mikhail et al. 2021). In 2016, the treatment and management of spine pathology was the highest cause of healthcare spending in the US, which was approximately $134.5 billion (Dieleman et al. 2020). This transition of orthopedic procedures to the outpatient setting has already been associated with a reduction in costs by up to 43% (Fabricant et al. 2016). Regardless of cost savings, the clinical outcomes of spinal procedures in the outpatient setting must also be assessed, as the safety and well-being of the patient are of utmost priority. Studies analyzing the outcomes of outpatient spine surgeries have reported similar perioperative outcomes to inpatient surgery, such as complication rates and readmission rates (Sivaganesan et al. 2018; Emami et al. 2016). In addition, a meta-analysis by Mundell et al. reported better short-term outcomes from outpatient spine procedures compared to in the inpatient setting (Mundell et al. 2018).

To best optimize outpatient MIS-TLIF outcomes, a combination of careful patient selection, implementation of multimodal analgesic (MMA) protocols, and improved surgical workflow efficiency has been integrated into the ambulatory setting (Nolte, Lynch, and Cha 2020). Selection of patients from certain demographics such as lower age groups, BMI, or ASA class, ensures minimization of risk from postoperative complications. MMA protocols indicate the administration of a combination of medications such as opioids, muscle relaxants, anticonvulsants, and anti-inflammatories during different stages of the surgical process (Parrish et al. 2020). The use of this protocol in spine surgery has been associated with proper pain management, decreased use of postoperative narcotics, and reduction in length of hospital stay (Singh et al. 2017; Devin and McGirt 2015). Finally, the standardization of instrumentation, staff training, and operating room arrangements can aid in streamlining the surgical process to improve efficiency (Nolte, Lynch, and Cha 2020).

Despite the economic advantages and feasibility of outpatient spine operations, the inherent complexities associated with the MIS-TLIF procedure warrants further assessment of surgical outcomes. In spine surgery, patient-reported outcome measures (PROMs) have been increasingly utilized to measure the effectiveness of interventions by comparing the well-being of the patients before and after surgery (Finkelstein and Schwartz 2019). The use of these questionnaires allows for relevant insight into the patient’s perception of their own health status at different points of the surgical process. However, the shortcomings of solely using PROMs are that improvements in numerical values from the questionnaire are difficult to assess for direct clinical significance (Auffinger et al. 2013). Therefore, supplementing PROMs with Minimum Clinical Important Difference (MCID) achievement have aided in properly establishing a threshold to determine treatment effectiveness (Auffinger et al. 2013). Long-term outcome studies are indicated to longitudinally monitor the potential risks and functional status of patients following spinal procedures such as lumbar fusion. Our study aims to compare the long-term clinical outcomes in the context of MIS-TLIF in an outpatient versus inpatient setting by using both PROMs and MCID achievement.

Methods

Patient Population

Prior to conducting the study, Institutional Review Board (IRB) approval (ORA #14051301) and patient informed consent were obtained. A prospectively maintained surgical database was retrospectively reviewed for lumbar procedures between November 2005 and March 2021. Inclusion criteria was set as primary, elective, single-level MIS TLIF procedures for degenerative spinal pathology. Patients undergoing a revision procedure, or surgery indicated for infectious, malignant, or traumatic etiologies were excluded. Additionally, patients with preoperative diagnosis of isthmic spondylolisthesis or degenerative scoliosis were excluded. The surgical approach was performed by a single fellowship-trained spine surgeon at a single institution. Patients were grouped into two cohorts, depending on whether a patient underwent surgery in an inpatient setting or in an outpatient setting at an ambulatory surgery center (ASC) where patient was discharged within 23 hours.

Data Collection

Comprehensive demographic information including age, gender, ethnicity, body mass index (BMI)smoking status, diabetic status, hypertension status, American Society for Anesthesiologists (ASA) Classification, Charlson Comorbidity Index (CCI) Score, and insurance type were retrieved. Past medical and surgical history were also recorded.Perioperative information, such as operative level, spinal pathology, operative time, and estimated blood loss (EBL) were recorded. Postoperative information such as length of stay, postoperative narcotic consumption, postoperative complications, and 1-year arthrodesis rates were also recorded.Patient-reported outcome measures (PROM) scores were collected. PROMs were administered at preoperative and 6-week, 12-week, 6-month, 1-year, and 2-year postoperative time-points and included Patient-Reported Outcomes Measurement Information System- Physical Function (PROMIS-PF), Visual Analogue Scale (VAS) for back and leg pain, Oswestry Disability Index (ODI), 12-Item Short Form Physical Composite Score (SF-12 PCS).

Statistical Analysis

Descriptive statistics were performed for demographic and operative characteristics. Coarsened exact match was carried out to control for significant demographic difference between cohorts. Demographic and perioperative characteristics were compared among groups using chi-square and Student’s t-test for categorical and continuous variables, respectively. Mean PROM scores were compared between cohorts at each time point utilizing a two-sample t-test. Postoperative PROM improvement from preoperative baseline within each cohort was calculated with use of paired t-test. Achievement of Minimum Clinical Important Difference (MCID) was determined by comparing ΔPROM scores to previously established threshold values. Rates of MCID achievement were compared among groups using simple logistic regression.

Results

Descriptive Analysis

Prior to coarsened exact match, a total of 618 patients were eligible in the study. A total of 563 patients in the Inpatient MIS-TLIF cohort and 55 in the Outpatient MIS-TLIF cohort. Significant demographic differences between cohorts were demonstrated for BMI, smoking, Hypertension, Charlson Comorbidity Index (CCI) score, and insurance status (p ≤ 0.034, all) (Table 1).

Table 1.Patient Demographics - Unmatched
Characteristic Total
(n=618)
Inpatient MIS-TLIF
(n=563)
Outpatient MIS-TLIF
(n=55)
*p-value
Age (mean ± SD, years) 51.8 ± 11.5 51.8 ±11.7 51.0 ± 9.0 0.611
BMI (mean ± SD, kg/m2) 30.8 ± 6.2 30.8 ± 6.2 28.4 ± 4.5 0.005
Gender 0.127
Female 36.7% (227) 37.7% (212) 27.3% (15)
Male 63.3% (391) 62.3% (351) 72.7% (40)
Ethnicity 0.466
Caucasian 69.2% (426) 69.6% (392) 64.2% (34)
African-American 12.8% (79) 13.1% (74) 9.4% (5)
Hispanic 12.9% (80) 12.3% (69) 20.8% (11)
Asian 1.3% (8) 1.2% (7) 1.9% (1)
Other 3.7% (23) 3.7% (21) 3.8% (2)
Diabetic Status 0.094
Non-Diabetic 87.4% (540) 86.7% (488) 94.6% (52)
Diabetic 12.6% (78) 13.3% (75) 5.5% (3)
Smoking Status 0.034
Non-Smoker 80.0% (492) 78.9% (442) 90.9% (50)
Smoker 20.0% (123) 21.1% (118) 9.1% (5)
Hypertension Status 0.010
Normotensive 61.4% (377) 59.8% (335) 77.8% (42)
Hypertensive 38.6% (237) 40.2% (225) 22.2% (12)
ASA Classification 0.076
<2 80.9% (494) 80.0% (448) 90.2% (46)
>2 19.2% (117) 20.0% (112) 9.8% (5)
CCI Score (mean ± SD) 2.1 ± 1.9 2.2 ± 1.9 1.1 ± 1.2 <0.001
Insurance 0.025
Workers’ Compensation 43.4% (268) 42.9% (242) 47.3% (26)
Private 47.7% (295) 47.3% (266) 52.7% (29)
Medicare/Medicaid 8.9 % (55) 9.8 % (55) 0.0 % (0)

ASA = American Society of Anesthesiologists; CCI = Charlson Comorbidity Index; SD= standard deviation

After coarsened exact matching, a total of 227 patients were excluded. The final patient cohort consisted of 391 patients, with 339 patients in the Inpatient MIS-TLIF cohort and 52 patients in the Outpatient MIS-TLIF cohort (Table 2).

Table 2.Patient Demographics – Matched -227 observations deleted
Characteristic Total
(n=391)
Inpatient MIS-TLIF
(n=339)
Outpatient MIS-TLIF
(n=52)
*p-value
Age (mean ± SD, years) 50.2 ± 10.4 50.1 ±10.5 50.9 ± 9.2 0.601
BMI (mean ± SD, kg/m2) 28.8 ± 4.6 28.8 ± 4.7 28.4 ± 4.5 0.511
Gender 0.263
Female 33.8% (132) 34.8% (118) 26.9% (14)
Male 66.2% (259) 65.2% (221) 73.1% (38)
Ethnicity 0.424
Caucasian 69.7% (271) 70.5% (239) 64.0% (32)
African-American 11.8% (46) 12.4% (42) 8.0% (4)
Hispanic 14.1% (55) 12.9% (44) 22.0% (11)
Asian 1.3% (5) 1.2% (4) 2.0% (1)
Other 3.1% (12) 2.9% (10) 4.0% (2)
Diabetic Status 0.536
Non-Diabetic 92.1% (360) 91.7% (311) 94.2% (49)
Diabetic 7.9% (31) 8.3% (28) 5.8% (3)
Smoking Status 0.383
Non-Smoker 88.8% (347) 88.2% (299) 92.3% (48)
Smoker 11.3% (44) 11.8% (40) 7.7% (4)
Hypertension Status 0.187
Normotensive 68.5% (267) 67.3% (228) 76.5% (39)
Hypertensive 31.5% (123) 32.7% (111) 23.5% (12)
ASA Classification 0.369
<2 93.0% (360) 93.5% (315) 90.0% (45)
>2 7.0% (27) 6.5% (22) 10.0% (5)
CCI Score (mean ± SD) 1.6 ± 1.6 1.6 ± 1.6 1.0 ± 1.1 0.025
Insurance 0.633
Workers’ Compensation 45.0% (176) 44.5% (151) 48.1% (25)
Private 54.9% (215) 55.5% (188) 51.9% (27)

ASA = American Society of Anesthesiologists; CCI = Charlson Comorbidity Index; SD= standard deviation

Significant differences between cohorts were noted for CCI after matching (p<0.025) (Table 2). A significantly greater proportion of patients in the Outpatient MIS-TLIF cohort had a preoperative diagnosis of foraminal stenosis.(p ≤ 0.001) (Table 3). Both mean estimated blood loss (EBL) and postoperative length of stay (LOS) were observed to be significantly lower in the Outpatient MIS-TLIF cohort (p<0.041, all) (Table 3). Postoperative narcotic consumption on days 0 and 1 were significantly greater for patients in the Inpatient cohort (p<0.001, all) (Table 3).

Table 3.Perioperative Characteristics
Characteristic Total
(n=391)
Inpatient MIS TLIF
(n=339)
Outpatient MIS TLIF
(n=52)
*p-value
Spinal Pathology
Recurrent HNP 19.4% (76) 17.8% (60) 30.8% (16) 0.072
Degenerative Spond 60.9% (238) 59.0% (200) 73.1% (38) 0.063
Foraminal Stenosis 28.6% (112) 21.5% (72) 75.0% (39) <0.001
Central Stenosis 82.6% (323) 81.1% (275) 92.3% (48) 0.084
Operative Levels 0.328
L2-L3 0.51% (2) 0.51% (2) 0.0% (0)
L3-L4 4.1 % (16) 4.1 % (16) 0.0 % (0)
L4-L5 52.4% (205) 51.3% (174) 59.6% (31)
L5-S1 42.9% (168) 41.4% (147) 40.4% (21)
Operative Time 
(Mean ± SD; min)
117.9 ± 33.5 117.8 ± 34.6 118.2 ± 25.2 0.934
Estimated Blood Loss (Mean ± SD; mL) 58.2 ± 51.8 60.1 ± 53.9 43.3 ± 28.9 0.041
Length of Stay 
(Mean ± SD; hours)
45.1 ± 30.6 49.7 ± 29.2 7.4 ± 7.2 <0.001
Postoperative Narcotic Consumption
POD 0 88.6 ± 69.3 97.5 ± 69.6 29.0 ± 22.5 <0.001
POD 1 69.2 ± 79.1 79.1 ± 80.3 4.8 ± 13.8 <0.001
Postoperative Vas Pain
POD 0 5.2 ± 1.7 5.2 ± 1.7 5.2 ± 2.4 0.953
1-year Arthrodesis (%) 94.0% 94.0% 93.8% 0.964

Patient-reported Outcome Measures (PROMs)

Preoperative mean PROM scores were not significantly different for all PROMs collected (Table 5). No significant differences in mean PROMs at postoperative timepoints were demonstrated between cohorts across all PROMs collected. Both cohorts demonstrated significant improvement for PROMIS-PF, SF-12 PCS, VAS back, and VAS leg at 2-year time-point from preoperative baseline (Table 5). Patients in the Inpatient MIS-TLIF cohort demonstrated greater proportion achieving MCID for overall SF-12 PCS and overall VAS back (p <0.022, all) (Table 6). No significant differences for MCID achievement rates were noted between cohorts at specific postoperative time points (Table 6). Inpatient cohort demonstrated significantly higher rates of postoperative nausea and vomiting (p=0.001) (Table 4).

Table 4.Postoperative Complications
Complication Inpatient MIS TLIF
(n=339)
Outpatient MIS TLIF
(n=52)
P value
Reintubation 0.3% (1) 0.0%(0) 0.698
Urinary Retention 7.8% (27) 1.9 %(1) 0.122
Urinary Tract Infection 0.3% (1) 0.0% (0) 0.698
Acute Renal Failure 0.3% (1) 0.0%(0) 0.698
Postoperative Anemia 0.6% (2) 0.0%(0) 0.582
Altered Mental Status 0.9% (3) 0.0% (0) 0.500
Atelectasis 1.2% (4) 0.0% (0) 0.436
Arrhythmia  0.3% (1) 0.0% (0) 0.698
Dysphagia 0.3% (1) 0.0% (0) 0.698
Ileus 0.0% (0) 0.0%(0) -
Incontinence 0.0% (0) 0.0% (0) -
Nausea/Vomiting 17.1% (58) 0.0% (0) 0.001

P-values calculated using unpaired sample t-test

Table 5.Mean PROMs and Postoperative Improvement
PROM Inpatient MIS-TLIF
Mean ± SD
Inpatient MIS-TLIF
Postoperative Improvement
Outpatient MIS-TLIF
Mean ± SD
Outpatient MIS-TLIF
Postoperative Improvement
*p-value
PROMIS-PF
Preoperative 35.6 ± 6.4 (85) - 36.2 ± 6.2 (28) - 0.633
6-weeks 37.7 ± 7.1 (70) 0.009 39.9 ± 6.7 (23) 0.016 0.178
12-weeks 41.8± 7.1 (66) <0.001 42.1 ± 6.4 (23) <0.001 0.855
6-months 45.8 ± 8.3 (62) <0.001 43.0 ± 6.8 (22) <0.001 0.168
1-year 45.5 ± 8.7 (55) <0.001 43.5 ± 6.2 (13) 0.007 0.447
2-year 44.9 ± 9.8 (48) <0.001 42.8± 8.3 (16) 0.004 0.601
SF-12 PCS
Preoperative 30.8 ± 8.4 (132) - 30.2 ± 7.4 (42) - 0.687
6-weeks 31.0 ± 8.1 (108) 0.096 34.0 ± 8.7 (31) 0.008 0.075
12-weeks 35.5 ± 9.7 (113) <0.001 36.3 ± 8.5 (27) 0.021 0.681
6-months 40.5 ± 11.6 (102) <0.001 38.4± 11.1 (26) <0.001 0.404
1-year 40.9 ± 11.9 (96) <0.001 38.7 ± 11.6 (12) 0.061 0.558
2-year 41.9 ± 10.9 (53) <0.001 36.2± 6.9 (6) 0.009 0.216
VAS back
Preoperative 6.7 ± 2.1 (303) - 6.2 ± 2.8 (46) - 0.138
6-weeks 4.0 ± 2.4 (307) <0.001 4.0 ± 2.5 (37) <0.001 0.971
12-weeks 3.8± 2.5 (294) <0.001 3.9 ± 2.3 (31) <0.001 0.714
6-months 3.7± 2.7 (276) <0.001 3.8 ± 2.9 (32) <0.001 0.974
1-year 3.1 ± 2.8 (80) <0.001 4.1 ± 2.7 (15) <0.001 0.212
2-year 3.0 ± 2.3 (45) <0.001 2.5 ± 2.3 (13) <0.001 0.691
VAS leg
Preoperative 5.9 ± 2.9 (147) - 5.6± 3.2 (46) - 0.593
6-weeks 3.1 ± 2.9 (148) <0.001 2.5 ± 2.6 (37) <0.001 0.219
12-weeks 2.9 ± 2.8 (144) <0.001 2.1± 2.5 (31) <0.001 0.150
6-months 2.8 ± 2.8 (138) <0.001 2.4 ± 2.4 (32) <0.001 0.450
1-year 2.9 ± 2.9 (80) <0.001 2.5 ± 2.5 (15) <0.001 0.667
2-year 2.4 ± 2.6 (46) <0.001 1.6 ± 1.5 (3) <0.001 0.622
ODI
Preoperative 41.5 ± 7.7 (150) - 41.4 ± 18.4 (46) - 0.991
6-weeks 36.6 ± 19.9 (153) 0.206 33.4± 17.5 (36) 0.062 0.377
12-weeks 31.8 ± 19.5 (153) <0.001 28.4 ± 16.5 (31) <0.001 0.365
6-months 24.8 ± 18.9 (147) <0.001 26.1 ± 18.1 (35) <0.001 0.729
1-year 24.1 ± 21.4 (95) <0.001 26.8 ± 21.7 (15) 0.016 0.651
2-year 21.8 ± 18.4 (44) <0.001 12.7 ± 5.0 (3) 0.109 0.403

Boldface indicates statistical significance
SD = Standard Deviation
*p-values calculated using unpaired Student’s t-test to determine postoperative improvement
†*p-values calculated using two-sample t-test to compare mean PROM scores

Table 6.MCID Achievement
PROM Inpatient MIS-TLIF
(%)
Outpatient MIS-TLIF
(%)
*p-value
ODI
6-weeks 35.3% 27.3% 0.380
12-weeks 41.9% 42.8% 0.932
6-months 54.1% 53.1% 0.922
1-year 53.6% 53.9% 0.988
2-year 51.3% 66.7% 0.609
Overall 63.7% 54.6% 0.274
PROMIS-PF
6-weeks 17.5% 16.7% 0.937
12-weeks 37.9% 33.3% 0.724
6-months 53.5% 40.0% 0.350
1-year 50.0% 37.5% 0.512
2-year 47.6% 66.7% 0.383
Overall 63.3% 45.8% 0.127
SF-12 PCS
6-weeks 30.3% 40.7% 0.313
12-weeks 55.1% 46.2% 0.424
6-months 61.3% 59.1% 0.854
1-year 71.8% 50.0% 0.162
2-year 72.7% 83.3% 0.578
Overall 74.1% 54.1% 0.022
VAS back
6-weeks 57.2% 55.9% 0.880
12-weeks 59.2% 53.6% 0.565
6-months 56.9% 51.7% 0.597
1-year 62.3% 61.5% 0.958
2-year 69.2% 66.7% 0.926
Overall 75.8% 59.1% 0.019
VAS Leg
6-weeks 49.6% 58.8% 0.339
12-weeks 53.1% 64.3% 0.282
6-months 48.4% 58.6% 0.321
1-year 47.8% 61.5% 0.364
2-year 54.1% 33.3% 0.489
Overall 65.7% 61.4% 0.596

Boldface indicates statistical significance
*p-values calculated using logistic regression

Discussion

Transforaminal Lumbar Interbody Fusion utilizes a posterior approach for stabilization and treatment degenerative disc disease that has failed appropriate improvement with conservative measures. The requirements of neural retraction in the posterior approach places the patient at risk for potential nerve root injury, epidural fibrosis, and dural tears. However, the TLIF technique directly accesses the unilateral intervertebral foraminal space, reducing direct dissection and surgical trauma to the spinal muscles. This unilateral approach to the neural foramen reduces associated trauma to the nerve roots, dura, and ligamentum flavum that posterior approaches may compromise. Marked advantages of the TLIF include the relative ease of posterior structure access to the facet joints, ligamentum flavum, and lamina, while preserving the ligamentous and adjacent structures (Mobbs et al. 2015; Hsieh et al. 2007; Phan et al. 2015; Audat et al. 2012). Like PLIF, the main disadvantages of the approach originate from significant paraspinal iatrogenic injury associated with prolonged muscle retraction, difficulty restoring lordosis, correction of coronal imbalance, and with endplate preparation (Craig Humphreys et al. 2001; Sakeb and Ahsan 2013; McAfee et al. 2005). The TLIF procedure has been increasingly utilized as a minimally invasive surgery (MIS-TLIF) and is the most common technique used for lumbar arthrodesis in the outpatient setting (Chin et al. 2016; Basques et al. 2019; Ahn et al. 2016). Benefits of MIS surgery include reduced intraoperative blood loss, less paraspinal muscle and nerve traction, and rapid return to activities of daily life (Vaishnav, Othman, et al. 2019; Starkweather et al. 2008; Park et al. 2020). A meta-analysis including 54 studies assessing complications of MIS-TLIF reported a 19.2% total complication rate, most often related to temporary neurological deficit from muscle retraction (Joseph et al. 2015). However, this alarming rate is not an accurate assessment of long-term, worrisome complications related to spine surgery, as near complete resolution of symptoms occurred in most patients. Compared to MIS lateral lumbar interbody fusion, rates of medical complications and reoperation were similar in the meta-analysis (Joseph et al. 2015).

Outpatient MIS of the spine has become increasingly utilized as patients may benefit from shorter recovery time and healthcare systems can more effectively utilize their limited resources compared to inpatient surgery (Basil and Wang 2019; Beschloss et al. 2021; Allen and Garfin 2010). Compared to inpatient surgery, outpatient MIS-TLIF has demonstrated no significant differences in postoperative complication rates, readmission rates, ODI, or VAS pain scores, while demonstrating similar clinical outcomes (Emami et al. 2016).

While promising, the clinical data assessing outpatient versus inpatient outcomes of MIS TLIF has been limited. In a retrospective cohort study assessing 1- and 2-level MIS TLIF patient outcomes for inpatient (n=64) versus outpatient (n=32) surgery, Emami et al. reported no significant differences in postoperative complications, ODI, VAS pain scores, or readmission rates (Emami et al. 2016). Villavicencio et al., described similar findings in a retrospective study (inpatient n=25, outpatient n=27), reporting no significant difference in complications and significantly decreased postoperative back pain in both cohorts compared to the patients’ preoperative VAS scores (Villavicencio et al. 2013). A non-cohort matched retrospective study (inpatient n=50, outpatient n=50) by Schlesinger et al. reported no differences in operative time, need for transfusions, or incidence of iatrogenic complications. Their study did note significantly shorter total LOS in the outpatient surgery cohort (Schlesinger et al. 2020).

This study aimed to directly compare patient reported outcomes and complications following MIS TLIF in outpatient and inpatient cohorts. Results from our analysis yield a more robust comparison of clinical and perioperative outcomes following inpatient and outpatient MIS TLIF to supplement the current literature. Reducing potential confounding, the matched cohort populations demonstrated significantly similar age, BMI, gender, ethnicity, comorbid diseases (diabetes status, smoking, hypertension, and ASA classification), and insurance status. Significant differences were only noted in CCI. Previous literature has described that regardless of CCI score, MIS TLIF may significantly benefit patients by achieving minimum clinically important difference in their outcomes (Jenkins et al. 2021). Past studies assessing inpatient and outpatient TLIF outcomes failed to appropriately match cohorts for age, ASA classification, and CCI (Emami et al. 2016), or match cohorts at all (Villavicencio et al. 2013; Schlesinger et al. 2020), posing a limitation in the current literature. In our study, perioperative comparison of cohorts noted significant differences in spinal pathology, with a greater prevalence of foraminal stenosis in outpatient procedures, and less estimated blood loss in the outpatient surgery cohort. While reduced EBL is commonly reported in MIS TLIF versus open surgery, studies have noted agreement with our findings, demonstrating decreased EBL in outpatient spine surgery compared to inpatient procedures (Gornet et al. 2018; Adamson et al. 2016).

In our study, compared to preoperative PROMs, patients in both cohorts reported similar improvements in PROMIS-PF, SF-12 PCS, VAS back and leg, and ODI at nearly all follow-up intervals. No significant differences were noted between cohorts for these outcomes, indicating similar inpatient and outpatient postoperative satisfaction following MIS-TLIF. Reports comparing PROMs following outpatient spine surgery have noted similar findings to our study, including operations of both the cervical and lumbar spine (Vaishnav, Hill, et al. 2019; Patel et al. 2019). MCID achievement in both cohorts was similar, noting a significant difference only at overall SF-12 PCS and VAS back pain, both favoring the inpatient cohort. However, at individual follow-up assessments, both cohorts reported similar MCID rates for these outcomes. Our findings demonstrate similar long term outcomes up to 2-years postoperatively for inpatient and outpatient cohorts following MIS TLIF. Previous studies have noted similar findings in MCID achievement comparing inpatient and outpatient cohorts, or reported other promising long term improvements following surgery in each operative setting (Vaishnav, Hill, et al. 2019; Liu, Briner, and Friedman 2009). These results highlight the continuing encouragement for outpatient surgery in appropriately selected patients to benefit other aspects of care and resource utility while maintaining longitudinal patient outcomes. For our study, MCID was assessed with PROMs to develop an accurate appraisal of postoperative outcomes, reducing limitations of MCID, such as poor consensus and misclassification of achievement (Wright et al. 2012; Cook 2008).

There is currently no recommended duration for patients to remain in the ASC following surgery. In our study, patients remained in the ASC for an average of 7.4 hours, significantly less compared to the inpatient average LOS of 49.7 hours. Previous studies have reported hospital LOS as a driver of increased costs, resulting in an associated $11,033 in insurance charges, $5,198 in hospital costs, and a 28% increased risk of readmission per additional day of hospital stay following spine surgery (Boylan et al. 2019; Missios and Bekelis 2015). Since patients in this study and others support the long term efficacy of outpatient spine surgery, costs may be markedly decreased while delivering equivalent patient safety and outcomes compared to inpatient TLIF. Further, to ensure safe discharge, patients should be monitored for adequate pain control, oral intake, spontaneous voiding, control of postoperative nausea and vomiting (PONV), stable vital signs, and a reassuring neurological examination (Pendharkar et al. 2018). With appropriate patient selection and preoperative planning, these discharge goals may be accomplished within hours of surgery.

In our study, relatively few patients experienced postoperative complications, however some reported urinary retention and PONV (7.8% and 17.1% of inpatient cohort, respectively). Postoperative urinary retention may delay discharge from the ASC and is defined as bladder visualization indicating greater than 300 mL of urine, requiring catheterization (Baldini et al. 2009; Altschul et al. 2017). While intraoperative phenylephrine and neostigmine may increase the risk of postoperative urinary retention, this complication often resolves without major or lasting consequence. The incidence of PONV was significantly greater in the inpatient MIS TLIF cohort, which may have led to the delay of discharge in some patients (Buvanendran and Thillainathan 2010; Swann et al. 2016). By utilizing a multimodal analgesia protocol, minimized dosing of analgesic agents and perioperative use of opioids may reduce this complication (Kurd et al. 2017; Yoo et al. 2019). Of note, significantly less postoperative narcotic consumption was noted in the outpatient cohort, potentially reducing the associated PONV. This finding is consistent in the literature as outpatient surgery has been associated with decreased postoperative opioid consumption regardless of other variables (Howard et al. 2019). Adequate perioperative intravenous hydration with administration of antiemetic agents have been reported to reduce the incidence and burden of PONV (Maharaj et al. 2005).

To safely conduct outpatient MIS TLIF, surgical expertise is imperative to minimize complications. MIS TLIF has demonstrated a steep learning curve among surgeons (Nandyala et al. 2014; Lee, Jang, and Shin 2012), however approximately 90% of the learning milestone reportedly may be reached by case 39 (Silva et al. 2013). Additionally, appropriate patient selection is necessary as fewer emergency services and care providers are available at ASCs compared to the inpatient setting. Ideally, patients for ASC spinal fusion will be younger without significant spinal deformity, few comorbidities (ASA≤3), BMI <42 kg/m2, living within 30 minutes of a hospital, and favorable anatomy for gaining posterior MIS access (Chin et al. 2016; Bovonratwet et al. 2018; Chin, Coombs, and Seale 2015; Chin et al. 2017; Hofer et al. 2008). While in this study, age was not identified as criteria for outpatient TLIF, the average inpatient and outpatient ages were 50.1 and 50.9 years, respectively. Prior studies have noted age >65 as a substantial risk factor for postoperative complications following outpatient lumbar surgery (Emami et al. 2016; Fleisher et al. 2004). The patients included in our analysis demonstrated a mean BMI of 30.8 kg/m2 and 80.9% classified as ASA <2, indicating optimal patient selection among cohorts for outpatient lumbar fusion.

Limitations

This study complements the literature by adding a novel comparison of clinical and perioperative outcomes following inpatient versus outpatient MIS TLIF. With our large cohort size assessing a variety of PROMs and complications at longitudinal follow-up intervals, this study offers a distinctive analysis of the potential benefits of outpatient spine surgery. The authors do report limitations in this study as well. The retrospective design of this study may have resulted in a selection bias of participants. Secondly, all surgeries were performed at the same academic institution by a single surgeon, potentially resulting in confounding and reducing the external validity of our findings. This study may benefit from a multicenter comparison of surgical outcomes including a variety of surgeons to establish comprehensive sampling. Lastly, assessment of radiographic findings may have strengthened this study by correlating clinical and radiographic outcomes.

Conclusion

After careful patient selection, patients undergoing MIS-TLIF in an outpatient setting demonstrated similar long term clinical outcomes for back pain, leg pain, physical function, and disability as defined by PROMs and MCID achievement. Additionally, patients in outpatient cohort demonstrated reduced postoperative narcotic consumption. Results from our study would suggest patient safety and outcome quality is not compromised from undertaking MIS-TLIF in an outpatient setting.

Submitted: October 11, 2021 EDT

Accepted: November 18, 2021 EDT

References

Adamson, Tim, Saniya S. Godil, Melissa Mehrlich, Stephen Mendenhall, Anthony L. Asher, and Matthew J. McGirt. 2016. “Anterior Cervical Discectomy and Fusion in the Outpatient Ambulatory Surgery Setting Compared with the Inpatient Hospital Setting: Analysis of 1000 Consecutive Cases.” Journal of Neurosurgery: Spine 24 (6): 878–84. https:/​/​doi.org/​10.3171/​2015.8.spine14284.
Google Scholar
Ahn, Junyoung, Daniel D. Bohl, Ehsan Tabaraee, Bryce A. Basques, and Kern Singh. 2016. “Current Trends in Outpatient Spine Surgery.” Clinical Spine Surgery 29 (9): 384–86. https:/​/​doi.org/​10.1097/​bsd.0000000000000417.
Google Scholar
Allen, R. Todd, and Steven R. Garfin. 2010. “The Economics of Minimally Invasive Spine Surgery: The Value Perspective.” Spine 35 (26 Suppl): S375–82. https:/​/​doi.org/​10.1097/​brs.0b013e31820238d9.
Google Scholar
Altschul, David, Andrew Kobets, Jonathan Nakhla, Ajit Jada, Rani Nasser, Merritt D. Kinon, Reza Yassari, and John Houten. 2017. “Postoperative Urinary Retention in Patients Undergoing Elective Spinal Surgery.” Journal of Neurosurgery: Spine 26 (2): 229–34. https:/​/​doi.org/​10.3171/​2016.8.spine151371.
Google Scholar
Audat, Z., O. Moutasem, K. Yousef, and B. Mohammad. 2012. “Comparison of Clinical and Radiological Results of Posterolateral Fusion, Posterior Lumbar Interbody Fusion and Transforaminal Lumbar Interbody Fusion Techniques in the Treatment of Degenerative Lumbar Spine.” Singapore Med J 53 (3): 183–87.
Google Scholar
Auffinger, Brenda M., Rishi R. Lall, Nader S. Dahdaleh, Albert P. Wong, Sandi K. Lam, Tyler Koski, Richard G. Fessler, and Zachary A. Smith. 2013. “Measuring Surgical Outcomes in Cervical Spondylotic Myelopathy Patients Undergoing Anterior Cervical Discectomy and Fusion: Assessment of Minimum Clinically Important Difference.” PLoS ONE 8 (6): e67408. https:/​/​doi.org/​10.1371/​journal.pone.0067408.
Google ScholarPubMed CentralPubMed
Baldini, Gabriele, Hema Bagry, Armen Aprikian, Franco Carli, David S. Warner, and Mark A. Warner. 2009. “Postoperative Urinary Retention: Anesthetic and Perioperative Considerations.” Anesthesiology 110 (5): 1139–57. https:/​/​doi.org/​10.1097/​aln.0b013e31819f7aea.
Google Scholar
Basil, Gregory W., and Michael Y. Wang. 2019. “Trends in Outpatient Minimally Invasive Spine Surgery.” Journal of Spine Surgery 5 (Suppl 1): S108–14. https:/​/​doi.org/​10.21037/​jss.2019.04.17.
Google ScholarPubMed CentralPubMed
Basques, Bryce A., Joseph Ferguson, Kyle N. Kunze, and Frank M. Phillips. 2019. “Lumbar Spinal Fusion in the Outpatient Setting: An Update on Management, Surgical Approaches and Planning.” Journal of Spine Surgery 5 (Suppl 2): S174–80. https:/​/​doi.org/​10.21037/​jss.2019.04.14.
Google ScholarPubMed CentralPubMed
Beschloss, Alex, Terrance Ishmael, Christina Dicindio, Chelsea Hendow, Alex Ha, Philip Louie, Joseph Lombardi, et al. 2021. “The Expanding Frontier of Outpatient Spine Surgery.” International Journal of Spine Surgery 15 (2): 266–73. https:/​/​doi.org/​10.14444/​8036.
Google ScholarPubMed CentralPubMed
Bovonratwet, Patawut, Taylor D. Ottesen, Raj J. Gala, Daniel R. Rubio, Nathaniel T. Ondeck, Ryan P. McLynn, and Jonathan N. Grauer. 2018. “Outpatient Elective Posterior Lumbar Fusions Appear to Be Safely Considered for Appropriately Selected Patients.” The Spine Journal 18 (7): 1188–96. https:/​/​doi.org/​10.1016/​j.spinee.2017.11.011.
Google Scholar
Boylan, Matthew R., Aldo M. Riesgo, Alice Chu, Carl B. Paulino, and David S. Feldman. 2019. “Costs and Complications of Increased Length of Stay Following Adolescent Idiopathic Scoliosis Surgery.” Journal of Pediatric Orthopaedics B 28 (1): 27–31. https:/​/​doi.org/​10.1097/​bpb.0000000000000543.
Google Scholar
Buvanendran, Asokumar, and Vijay Thillainathan. 2010. “Preoperative and Postoperative Anesthetic and Analgesic Techniques for Minimally Invasive Surgery of the Spine.” Spine 35 (26 Suppl): S274–80. https:/​/​doi.org/​10.1097/​brs.0b013e31820240f8.
Google Scholar
Chien, James J., and Zahid H. Bajwa. 2008. “What Is Mechanical Back Pain and How Best to Treat It?” Current Pain and Headache Reports 12 (6): 406–11. https:/​/​doi.org/​10.1007/​s11916-008-0069-3.
Google Scholar
Chin, Kingsley R., André V. Coombs, and Jason A. Seale. 2015. “Feasibility and Patient-Reported Outcomes after Outpatient Single-Level Instrumented Posterior Lumbar Interbody Fusion in a Surgery Center: Preliminary Results in 16 Patients.” Spine 40 (1): E36–42. https:/​/​doi.org/​10.1097/​brs.0000000000000604.
Google Scholar
Chin, Kingsley R., Fabio J. R. Pencle, André V. Coombs, Morgan D. Brown, Kasey J. Conklin, Andew M. O’Neill, Michael J. McGarry, Jason A. Seale, and Elijah A. Hothem. 2016. “Lateral Lumbar Interbody Fusion in Ambulatory Surgery Centers: Patient Selection and Outcome Measures Compared With an Inhospital Cohort.” Spine 41 (8): 686–92. https:/​/​doi.org/​10.1097/​brs.0000000000001285.
Google Scholar
Chin, Kingsley R., Fabio J.R. Pencle, André V. Coombs, Corrine F. Packer, Elijah A. Hothem, and Jason A. Seale. 2017. “Eligibility of Outpatient Spine Surgery Candidates in a Single Private Practice.” Clinical Spine Surgery: A Spine Publication 30 (10): E1352–58. https:/​/​doi.org/​10.1097/​bsd.0000000000000374.
Google Scholar
Cole, Chad D., Todd D. McCall, Meic H. Schmidt, and Andrew T. Dailey. 2009. “Comparison of Low Back Fusion Techniques: Transforaminal Lumbar Interbody Fusion (TLIF) or Posterior Lumbar Interbody Fusion (PLIF) Approaches.” Current Reviews in Musculoskeletal Medicine 2 (2): 118–26. https:/​/​doi.org/​10.1007/​s12178-009-9053-8.
Google ScholarPubMed CentralPubMed
Cook, Chad E. 2008. “Clinimetrics Corner: The Minimal Clinically Important Change Score (MCID): A Necessary Pretense.” Journal of Manual & Manipulative Therapy 16 (4): E82–83. https:/​/​doi.org/​10.1179/​jmt.2008.16.4.82e.
Google ScholarPubMed CentralPubMed
Craig Humphreys, S., Scott D. Hodges, Avinash G. Patwardhan, Jason C. Eck, R. Bryan Murphy, and and Laurie A. Covington. 2001. “Comparison of Posterior and Transforaminal Approaches to Lumbar Interbody Fusion.” Spine 26 (5): 567–71. https:/​/​doi.org/​10.1097/​00007632-200103010-00023.
Google Scholar
de Kunder, Suzanne L., Sander M.J. van Kuijk, Kim Rijkers, Inge J.M.H. Caelers, Wouter L.W. van Hemert, Rob A. de Bie, and Henk van Santbrink. 2017. “Transforaminal Lumbar Interbody Fusion (TLIF) versus Posterior Lumbar Interbody Fusion (PLIF) in Lumbar Spondylolisthesis: A Systematic Review and Meta-Analysis.” The Spine Journal 17 (11): 1712–21. https:/​/​doi.org/​10.1016/​j.spinee.2017.06.018.
Google Scholar
Devin, Clinton J., and Matthew J. McGirt. 2015. “Best Evidence in Multimodal Pain Management in Spine Surgery and Means of Assessing Postoperative Pain and Functional Outcomes.” Journal of Clinical Neuroscience 22 (6): 930–38. https:/​/​doi.org/​10.1016/​j.jocn.2015.01.003.
Google Scholar
Dieleman, Joseph L., Jackie Cao, Abby Chapin, Carina Chen, Zhiyin Li, Angela Liu, Cody Horst, et al. 2020. “US Health Care Spending by Payer and Health Condition, 1996-2016.” JAMA 323 (9): 863–88. https:/​/​doi.org/​10.1001/​jama.2020.0734.
Google ScholarPubMed CentralPubMed
El Sayed, M., and A.L. Callahan. 2021. “Mechanical Back Strain.” In StatPearls. StatPearls Publishing.
Google Scholar
Emami, Arash, Michael Faloon, Kimona Issa, Eiman Shafa, Sina Pourtaheri, Kumar Sinha, and Ki S. Hwang. 2016. “Minimally Invasive Transforaminal Lumbar Interbody Fusion in the Outpatient Setting.” Orthopedics 39 (6): e1218–22. https:/​/​doi.org/​10.3928/​01477447-20160721-04.
Google Scholar
Fabricant, Peter D., Mark A. Seeley, Joshua C. Rozell, Evan Fieldston, John M. Flynn, Lawrence M. Wells, and Theodore J. Ganley. 2016. “Cost Savings From Utilization of an Ambulatory Surgery Center for Orthopaedic Day Surgery.” Journal of the American Academy of Orthopaedic Surgeons 24 (12): 865–71. https:/​/​doi.org/​10.5435/​jaaos-d-15-00751.
Google Scholar
Finkelstein, Joel A., and Carolyn E. Schwartz. 2019. “Patient-Reported Outcomes in Spine Surgery: Past, Current, and Future Directions.” Journal of Neurosurgery: Spine 31 (2): 155–64. https:/​/​doi.org/​10.3171/​2019.1.spine18770.
Google Scholar
Fleisher, Lee A., L.R. Pasternak, R. Herbert, and G.F. Anderson. 2004. “Inpatient Hospital Admission and Death after Outpatient Surgery in Elderly Patients: Importance of Patient and System Characteristics and Location of Care.” Archives of Surgery 139 (1): 67–72. https:/​/​doi.org/​10.1001/​archsurg.139.1.67.
Google Scholar
Fritzell, Peter, Olle Hägg, Per Wessberg, Anders Nordwall, and Swedish Lumbar Spine Study Group. 2002. “ Chronic Low Back Pain and Fusion: A Comparison of Three Surgical Techniques: Aprospective Multicenter Randomized Study from the Swedish Lumbar Spine Study Group.” Spine 27 (11): 1131–41. https:/​/​doi.org/​10.1097/​00007632-200206010-00002.
Google Scholar
Gornet, Matthew F., Glenn R. Buttermann, Richard Wohns, Jason Billinghurst, Darrell C. Brett, Richard Kube, J. Rafe Sales, et al. 2018. “Safety and Efficiency of Cervical Disc Arthroplasty in Ambulatory Surgery Centers vs. Hospital Settings.” International Journal of Spine Surgery 12 (5): 557–64. https:/​/​doi.org/​10.14444/​5068.
Google ScholarPubMed CentralPubMed
Hofer, Roger E., Tetsuya Kai, Paul A. Decker, and David O. Warner. 2008. “Obesity as a Risk Factor for Unanticipated Admissions after Ambulatory Surgery.” Mayo Clinic Proceedings 83 (8): 908–16. https:/​/​doi.org/​10.1016/​s0025-6196(11)60767-2.
Google Scholar
Howard, Ryan, Brian Fry, Vidhya Gunaseelan, Jay Lee, Jennifer Waljee, Chad Brummett, Darrell Jr Campbell, Elizabeth Seese, Michael Englesbe, and Joceline Vu. 2019. “Association of Opioid Prescribing With Opioid Consumption After Surgery in Michigan.” JAMA Surgery 154 (1): e184234–e184234. https:/​/​doi.org/​10.1001/​jamasurg.2018.4234.
Google ScholarPubMed CentralPubMed
Hoy, Damian, Lyn March, Peter Brooks, Fiona Blyth, Anthony Woolf, Christopher Bain, Gail Williams, et al. 2014. “The Global Burden of Low Back Pain: Estimates from the Global Burden of Disease 2010 Study.” Annals of the Rheumatic Diseases 73 (6): 968–74. https:/​/​doi.org/​10.1136/​annrheumdis-2013-204428.
Google Scholar
Hsieh, Patrick C., Tyler R. Koski, Brian A. O’Shaughnessy, Patrick Sugrue, Sean Salehi, Stephen Ondra, and John C. Liu. 2007. “Anterior Lumbar Interbody Fusion in Comparison with Transforaminal Lumbar Interbody Fusion: Implications for the Restoration of Foraminal Height, Local Disc Angle, Lumbar Lordosis, and Sagittal Balance.” Journal of Neurosurgery: Spine 7 (4): 379–86. https:/​/​doi.org/​10.3171/​spi-07/​10/​379.
Google Scholar
Jenkins, Nathaniel W., James M. Parrish, Michael T. Nolte, Caroline N. Jadczak, Cara E. Geoghegan, Shruthi Mohan, Nadia M. Hrynewycz, and Kern Singh. 2021. “Charlson Comorbidity Index: An Inaccurate Predictor of Minimally Invasive Lumbar Spinal Fusion Outcomes.” International Journal of Spine Surgery 15 (4): 770–79. https:/​/​doi.org/​10.14444/​8099.
Google ScholarPubMed CentralPubMed
Joseph, Jacob R., Brandon W. Smith, Frank La Marca, and Paul Park. 2015. “Comparison of Complication Rates of Minimally Invasive Transforaminal Lumbar Interbody Fusion and Lateral Lumbar Interbody Fusion: A Systematic Review of the Literature.” Neurosurgical Focus 39 (4): E4. https:/​/​doi.org/​10.3171/​2015.7.focus15278.
Google Scholar
Kobayashi, Kazuyoshi, Kei Ando, Yoshihiro Nishida, Naoki Ishiguro, and Shiro Imagama. 2018. “Epidemiological Trends in Spine Surgery over 10 Years in a Multicenter Database.” European Spine Journal 27 (8): 1698–1703. https:/​/​doi.org/​10.1007/​s00586-018-5513-4.
Google Scholar
Kurd, Mark F., Tyler Kreitz, Gregory Schroeder, and Alexander R. Vaccaro. 2017. “The Role of Multimodal Analgesia in Spine Surgery.” Journal of the American Academy of Orthopaedic Surgeons 25 (4): 260–68. https:/​/​doi.org/​10.5435/​jaaos-d-16-00049.
Google Scholar
Lee, Jae Chul, Hae-Dong Jang, and Byung-Joon Shin. 2012. “Learning Curve and Clinical Outcomes of Minimally Invasive Transforaminal Lumbar Interbody Fusion: Our Experience in 86 Consecutive Cases.” Spine 37 (18): 1548–57. https:/​/​doi.org/​10.1097/​brs.0b013e318252d44b.
Google Scholar
Liu, Jeffrey T, Rudy P Briner, and Jonathan A Friedman. 2009. “Comparison of Inpatient vs. Outpatient Anterior Cervical Discectomy and Fusion: A Retrospective Case Series.” BMC Surgery 9 (1): 3. https:/​/​doi.org/​10.1186/​1471-2482-9-3.
Google ScholarPubMed CentralPubMed
Maharaj, C H., S R. Kallam, A Malik, P Hassett, D Grady, and J G. Laffey. 2005. “Preoperative Intravenous Fluid Therapy Decreases Postoperative Nausea and Pain in High Risk Patients.” Anesthesia & Analgesia 100 (3): 675–82. https:/​/​doi.org/​10.1213/​01.ane.0000148684.64286.36.
Google Scholar
McAfee, Paul C., John G. DeVine, Christopher D. Chaput, Brad G. Prybis, Ira L. Fedder, Bryan W. Cunningham, Dennis J. Farrell, Samuel J. Hess, and Franco E. Vigna. 2005. “The Indications for Interbody Fusion Cages in the Treatment of Spondylolisthesis: Analysis of 120 Cases.” Spine 30 (6 Suppl): S60–65. https:/​/​doi.org/​10.1097/​01.brs.0000155578.62680.dd.
Google Scholar
Mikhail, Christopher M., Murray Echt, Stephen R. Selverian, and Samuel K. Cho. 2021. “Recoup From Home? Comparison of Relative Cost Savings for ACDF, Lumbar Discectomy, and Short Segment Fusion Performed in the Inpatient Versus Outpatient Setting.” Global Spine Journal 11 (1_suppl): 56S-65S. https:/​/​doi.org/​10.1177/​2192568220968772.
Google ScholarPubMed CentralPubMed
Missios, Symeon, and Kimon Bekelis. 2015. “Hospitalization Cost after Spine Surgery in the United States of America.” Journal of Clinical Neuroscience 22 (10): 1632–37. https:/​/​doi.org/​10.1016/​j.jocn.2015.05.005.
Google Scholar
Mobbs, R.J., K. Phan, G. Malham, K. Seex, and P.J. Rao. 2015. “Lumbar Interbody Fusion: Techniques, Indications and Comparison of Interbody Fusion Options Including PLIF, TLIF, MI-TLIF, OLIF/ATP, LLIF and ALIF.” J Spine Surg 1 (1): 2–18.
Google Scholar
Mundell, Benjamin F., Marcus J. Gates, Panagiotis Kerezoudis, Mohammed Ali Alvi, Brett A. Freedman, Ahmad Nassr, Samuel F. Hohmann, and Mohamad Bydon. 2018. “Does Patient Selection Account for the Perceived Cost Savings in Outpatient Spine Surgery? A Meta-Analysis of Current Evidence and Analysis from an Administrative Database.” Journal of Neurosurgery: Spine 29 (6): 687–95. https:/​/​doi.org/​10.3171/​2018.4.spine1864.
Google Scholar
Mura, Pier Paolo, Mauro Costaglioli, Maurizio Piredda, Silvia Caboni, and Silvia Casula. 2011. “TLIF for Symptomatic Disc Degeneration: A Retrospective Study of 100 Patients.” European Spine Journal 20 (Suppl 1): S57–60. https:/​/​doi.org/​10.1007/​s00586-011-1761-2.
Google ScholarPubMed CentralPubMed
Nandyala, Sreeharsha V., Steve J. Fineberg, Miguel Pelton, and Kern Singh. 2014. “Minimally Invasive Transforaminal Lumbar Interbody Fusion: One Surgeon’s Learning Curve.” The Spine Journal 14 (8): 1460–65. https:/​/​doi.org/​10.1016/​j.spinee.2013.08.045.
Google Scholar
Nolte, M.T., C.P. Lynch, and E.D.K. Cha. 2020. “Transition to Outpatient Minimally Invasive Transforaminal Lumbar Interbody Fusion.” Journal of Orthopaedic Experience & Innovation. https:/​/​journaloei.scholasticahq.com/​article/​13907.xml.
Google Scholar
Park, Jiwon, Dae-Woong Ham, Byung-Taek Kwon, Sang-Min Park, Ho-Joong Kim, and Jin S. Yeom. 2020. “Minimally Invasive Spine Surgery: Techniques, Technologies, and Indications.” Asian Spine Journal 14 (5): 694–701. https:/​/​doi.org/​10.31616/​asj.2020.0384.
Google ScholarPubMed CentralPubMed
Parrish, James M., Nathaniel W. Jenkins, Thomas S. Brundage, Nadia M. Hrynewycz, Jeffrey Podnar, Asokumar Buvanendran, and Kern Singh. 2020. “Outpatient Minimally Invasive Lumbar Fusion Using Multimodal Analgesic Management in the Ambulatory Surgery Setting.” International Journal of Spine Surgery 14 (6): 970–81. https:/​/​doi.org/​10.14444/​7146.
Google ScholarPubMed CentralPubMed
Patel, Dil V., Joon S. Yoo, Sailee S. Karmarkar, Eric H. Lamoutte, and Kern Singh. 2019. “Minimally Invasive Lumbar Decompression in an Ambulatory Surgery Center.” Journal of Spine Surgery 5 (S2): S166–73. https:/​/​doi.org/​10.21037/​jss.2019.04.05.
Google ScholarPubMed CentralPubMed
Pendharkar, Arjun Vivek, Maryam Nour Shahin, Allen Lin Ho, Eric Scott Sussman, David Arnold Purger, Anand Veeravagu, John Kevin Ratliff, and Atman Mukesh Desai. 2018. “Outpatient Spine Surgery: Defining the Outcomes, Value, and Barriers to Implementation.” Neurosurgical Focus 44 (5): E11. https:/​/​doi.org/​10.3171/​2018.2.focus17790.
Google Scholar
Phan, Kevin, Prashanth J. Rao, Andrew C. Kam, and Ralph J. Mobbs. 2015. “Minimally Invasive versus Open Transforaminal Lumbar Interbody Fusion for Treatment of Degenerative Lumbar Disease: Systematic Review and Meta-Analysis.” European Spine Journal 24 (5): 1017–30. https:/​/​doi.org/​10.1007/​s00586-015-3903-4.
Google Scholar
Rubin, Devon I. 2007. “Epidemiology and Risk Factors for Spine Pain.” Neurologic Clinics 25 (2): 353–71. https:/​/​doi.org/​10.1016/​j.ncl.2007.01.004.
Google Scholar
Saifi, Comron, Alejandro Cazzulino, Joseph Laratta, Akshay V. Save, Jamal N. Shillingford, Philip K. Louie, Andrew J. Pugely, and Vincent Arlet. 2019. “Utilization and Economic Impact of Posterolateral Fusion and Posterior/Transforaminal Lumbar Interbody Fusion Surgeries in the United States.” Global Spine Journal 9 (2): 185–90. https:/​/​doi.org/​10.1177/​2192568218790557.
Google ScholarPubMed CentralPubMed
Sakeb, Najmus, and Kamrul Ahsan. 2013. “Comparison of the Early Results of Transforaminal Lumbar Interbody Fusion and Posterior Lumbar Interbody Fusion in Symptomatic Lumbar Instability.” Indian Journal of Orthopaedics 47 (3): 255–63. https:/​/​doi.org/​10.4103/​0019-5413.111484.
Google ScholarPubMed CentralPubMed
Schlesinger, Scott, Kimberly Krugman, Diana Abbott, and Jeffrey Arle. 2020. “Thirty-Day Outcomes From Standalone Minimally Invasive Surgery-Transforaminal Lumbar Interbody Fusion Patients in an Ambulatory Surgery Center vs. Hospital Setting.” Cureus 12 (9): e10197. https:/​/​doi.org/​10.7759/​cureus.10197.
Google ScholarPubMed CentralPubMed
Silva, Pedro S., Paulo Pereira, Pedro Monteiro, Pedro A. Silva, and Rui Vaz. 2013. “Learning Curve and Complications of Minimally Invasive Transforaminal Lumbar Interbody Fusion.” Neurosurgical Focus 35 (2): E7. https:/​/​doi.org/​10.3171/​2013.5.focus13157.
Google Scholar
Singh, Kern, Daniel D. Bohl, Junyoung Ahn, Dustin H. Massel, Benjamin C. Mayo, Ankur S. Narain, Fady Y. Hijji, et al. 2017. “Multimodal Analgesia Versus Intravenous Patient-Controlled Analgesia for Minimally Invasive Transforaminal Lumbar Interbody Fusion Procedures.” Spine 42 (15): 1145–50. https:/​/​doi.org/​10.1097/​brs.0000000000001992.
Google Scholar
Sivaganesan, Ahilan, Brandon Hirsch, Frank M Phillips, and Matthew J McGirt. 2018. “Spine Surgery in the Ambulatory Surgery Center Setting: Value-Based Advancement or Safety Liability?” Neurosurgery 83 (2): 159–65. https:/​/​doi.org/​10.1093/​neuros/​nyy057.
Google Scholar
Starkweather, Angela R., Linda Witek-Janusek, Russ P. Nockels, Jonna Peterson, and Herb L. Mathews. 2008. “The Multiple Benefits of Minimally Invasive Spinal Surgery: Results Comparing Transforaminal Lumbar Interbody Fusion and Posterior Lumbar Fusion.” Journal of Neuroscience Nursing 40 (1): 32–39. https:/​/​doi.org/​10.1097/​01376517-200802000-00006.
Google Scholar
Swann, Matthew C., Kathryn S. Hoes, Salah G. Aoun, and David L. McDonagh. 2016. “Postoperative Complications of Spine Surgery.” Best Practice & Research Clinical Anaesthesiology 30 (1): 103–20. https:/​/​doi.org/​10.1016/​j.bpa.2016.01.002.
Google Scholar
Vaishnav, Avani S., Patrick Hill, Steven McAnany, Dil V. Patel, Brittany E. Haws, Benjamin Khechen, Kern Singh, Catherine Himo Gang, and Sheeraz Qureshi. 2019. “Comparison of Multilevel Anterior Cervical Discectomy and Fusion Performed in an Inpatient Versus Outpatient Setting.” Global Spine Journal 9 (8): 834–42. https:/​/​doi.org/​10.1177/​2192568219834894.
Google ScholarPubMed CentralPubMed
Vaishnav, Avani S., Yahya A. Othman, Sohrab S. Virk, Catherine Himo Gang, and Sheeraz A. Qureshi. 2019. “Current State of Minimally Invasive Spine Surgery.” Journal of Spine Surgery 5 (Suppl 1): S2–10. https:/​/​doi.org/​10.21037/​jss.2019.05.02.
Google ScholarPubMed CentralPubMed
Villavicencio, Alan T., Ewell Lee Nelson, Alexander Mason, Sharad Rajpal, and Sigita Burneikiene. 2013. “Preliminary Results on Feasibility of Outpatient Instrumented Transforaminal Lumbar Interbody Fusion.” Journal of Spinal Disorders & Techniques 26 (6): 298–304. https:/​/​doi.org/​10.1097/​bsd.0b013e318246aea2.
Google Scholar
Will, J.S., D.C. Bury, and J.A. Miller. 2018. “Mechanical Low Back Pain.” Am Fam Physician 98 (7): 421–28.
Google Scholar
Wright, Alexis, Joseph Hannon, Eric J Hegedus, and Alicia Emerson Kavchak. 2012. “Clinimetrics Corner: A Closer Look at the Minimal Clinically Important Difference (MCID).” Journal of Manual & Manipulative Therapy 20 (3): 160–66. https:/​/​doi.org/​10.1179/​2042618612y.0000000001.
Google ScholarPubMed CentralPubMed
Yoo, Joon S., Junyoung Ahn, Asokumar Buvanendran, and Kern Singh. 2019. “Multimodal Analgesia in Pain Management after Spine Surgery.” Journal of Spine Surgery 5 (S2): S154–59. https:/​/​doi.org/​10.21037/​jss.2019.05.04.
Google ScholarPubMed CentralPubMed

This website uses cookies

We use cookies to enhance your experience and support COUNTER Metrics for transparent reporting of readership statistics. Cookie data is not sold to third parties or used for marketing purposes.

Powered by Scholastica, the modern academic journal management system