Literature DB >> 33980261

Do robot-related complications influence 1 year reoperations and other clinical outcomes after robot-assisted lumbar arthrodesis? A multicenter assessment of 320 patients.

Nathan J Lee1, Ian A Buchanan2, Venkat Boddapati2, Justin Mathew2, Gerard Marciano2, Paul J Park2, Eric Leung2, Avery L Buchholz3, John Pollina4, Ehsan Jazini5, Colin Haines5, Thomas C Schuler5, Christopher R Good5, Joseph M Lombardi2, Ronald A Lehman2.   

Abstract

BACKGROUND: Robot-assisted platforms in spine surgery have rapidly developed into an attractive technology for both the surgeon and patient. Although current literature is promising, more clinical data is needed. The purpose of this paper is to determine the effect of robot-related complications on clinical outcomes
METHODS: This multicenter study included adult (≥18 years old) patients who underwent robot-assisted lumbar fusion surgery from 2012-2019. The minimum follow-up was 1 year after surgery. Both bivariate and multivariate analyses were performed to determine if robot-related factors were associated with reoperation within 1 year after primary surgery.
RESULTS: A total of 320 patients were included in this study. The mean (standard deviation) Charlson Comorbidity Index was 1.2 (1.2) and 52.5% of patients were female. Intraoperative robot complications occurred in 3.4% of patients and included intraoperative exchange of screw (0.9%), robot abandonment (2.5%), and return to the operating room for screw exchange (1.3%). The 1-year reoperation rate was 4.4%. Robot factors, including robot time per screw, open vs. percutaneous, and robot system, were not statistically different between those who required revision surgery and those who did not (P>0.05). Patients with robot complications were more likely to have prolonged length of hospital stay and blood transfusion, but were not at higher risk for 1-year reoperations. The most common reasons for reoperation were wound complications (2.2%) and persistent symptoms due to inadequate decompression (1.5%). In the multivariate analysis, robot related factors and complications were not independent risk factors for 1-year reoperations.
CONCLUSION: This is the largest multicenter study to focus on robot-assisted lumbar fusion outcomes. Our findings demonstrate that 1-year reoperation rates are low and do not appear to be influenced by robot-related factors and complications; however, robot-related complications may increase the risk for greater blood loss requiring a blood transfusion and longer length of stay.

Entities:  

Keywords:  Complications; Lumbar fusion; Mazor X; Reoperations; Robot-assisted spine surgery

Year:  2021        PMID: 33980261      PMCID: PMC8114480          DOI: 10.1186/s13018-021-02452-z

Source DB:  PubMed          Journal:  J Orthop Surg Res        ISSN: 1749-799X            Impact factor:   2.359


Introduction

Robotic surgery has rapidly developed into an attractive option for spine surgeons as evidenced by the growing literature in the last few years [1-4]. Numerous reports demonstrate excellent pedicle screw accuracy and early studies have explored the impact of robot-assisted spine surgery on reducing radiation exposure, length of hospital stay, operative time, and perioperative complications in comparison to conventional freehand technique [5-10]. However, current literature has been derived from mostly single-center or single-surgeon studies [11-15]. Furthermore, the impact of robot-related complications on clinical outcomes remains unclear. Reoperation rates are particularly important in spine surgery because they imply disease progression or surgical complications. Complete reoperation data in robotic spine surgery remains to be elucidated as most studies only report intraoperative revisions due to screw misplacement and rates are exceedingly low. In a large, retrospective study of 359 patients, Keric et al. reported a reoperation rate of 1.7% [8]. Other authors in smaller, prospective randomized control trials have reported reoperation rates of 0.0% at up to 2 years [14, 16]. Additional reported post-operative complications in robotic surgery that have led to revision surgery include wound healing issues, new neurological deficits, and infections [7, 8]. The purpose of this study is to examine the influence of robot-related complications on clinical outcomes, including 1-year reoperations, after robot-assisted lumbar fusion. To the authors’ knowledge, this is the first multicenter assessment of complications related to robot-assisted lumbar fusion with a minimum 1-year follow-up. We hypothesize that robot-related factors do not influence reoperation risk, but may prolong operative time. Our study’s findings may further contribute to the acceptance of robotic-assisted spine surgery as an excellent surgical option for surgeons and patients alike.

Materials and Methods

Patient selection

We reviewed a multicenter database of adult patients (≥18 years old) who underwent robot-assisted lumbar arthrodesis between 2012 and 2019. All surgeries were performed by either the Renaissance (Renaissance, Mazor Robotics Ltd., Israel) or Mazor X system (Mazor Robotics Ltd.). Patients with missing data or who underwent spinal fusion at unrelated levels (cervical, thoracic) were excluded from our study. The minimum follow-up was 1 year after the date of surgery. This study was approved by the institutional review board.

Data collection

Several perioperative factors were collected and included patient demographics, comorbidity profile, smoking status, body mass index, and primary preoperative diagnosis. Robot factors included open vs. percutaneous surgery, robot time spent per screw, robot screws placed per patient, and robot system (Renaissance or Mazor X). Other operative factors included primary vs. revision surgery, number of instrumented levels per patient, pelvic fixation, and total operative time. Robot-related complications included intraoperative exchange of robot screw due to breach, robot abandonment due to registration issues or unreachable anatomy, intraoperative loss of motor/sensory function, and return to the operating room during the same inpatient stay for screw removal and/or exchange. Even though surgeons generally would not characterize an intraoperative redirection of a screw using freehand, flouro-assist or navigation as a “complication,” we wanted to have strict criteria when assessing any variance with the planned surgery. We evaluated the impact of each robot-related factor on reoperation risk as well as the composite of all robot-related complications, which was defined as the variable, “any robot-related complication.” A reoperation was defined as any return to the operating room during a subsequent hospital encounter. In other words, a return to the operating room during the same index hospital stay was not considered a reoperation.

Data analysis

The primary outcome of our study was reoperation within 1 year after the index surgery. Secondary outcomes of interest included estimated blood loss, perioperative blood transfusion, total operative time, and length of hospital stay. The chi-square test and t test were used to compare categorical and continuous variables, respectively. Both bivariate and multivariate logistic regression analyses were performed to determine if robot-related complications were associated with reoperation within 1 year after primary surgery. Statistical significance was defined as a P value <0.05. SAS Studio Version 3.4 (SAS Institute Inc., Cary, NC) was used for all statistical analyses.

Results

A total of 320 patients were included in this study. The mean (standard deviation) Charlson Comorbidity Index (CCI) was 1.2 (1.2), 44.7% (N=143) of patients were obese, 10% (N=32) were prior/current smokers, and 52.5% (N=168) of patients were female. The most common preoperative primary diagnoses included high-grade spondylolisthesis (60.3%, N=193), degenerative disk disease (18.1%, N=58), and spinal stenosis (9.7%, N=31). The mean number of instrumented levels was 2.8 (0.9), 17.5% (N=56) of surgeries were open (vs. percutaneous), 48.8% (N=156) were performed with the X robot (vs. Renaissance), 6.6% (N=21) of patients had pelvic fixation, the mean robot time was 28.7 (21.3) minutes, and the mean total operative time was 126 (92) minutes (Table 1).
Table 1

Bivariate analysis of post-discharge 1 year reoperations for patient, operative, and robot-related factors

AllNo reoperationReoperation
N%N%N%P value
Total # of patients32030695.6%144.4%
Female16852.5%15952.0%964.3%0.367
Obese (BMI>30 kg/m2)14344.7%13443.8%964.3%0.132
CCI, mean (standard deviation, SD)1.2 (1.2)1.2 (1.2)1.4 (1.2)0.398
Prior/current smoker3210.0%3110.1%17.1%0.716
Preoperative diagnosis
 High-grade spondylolisthesis19360.3%18460.1%964.3%0.877
 Degenerative disk disease5818.1%5618.3%214.3%
 Spinal stenosis319.7%309.8%17.1%
 Degenerative scoliosis247.5%227.2%214.3%
 Pseudarthrosis103.1%103.3%00.0%
 Other41.3%41.3%00.0%
Robot factors
 Open (vs. percutaneous)5617.5%5417.6%214.3%0.746
 Robot time per patient (minutes), mean (SD)28.7 (21.3)28.5 (21.5)32.2 (20.3)0.599
 Robot screws per patient, mean (SD)5.1 (3.4)5.0 (3.4)5.7 (3.4)0.462
 Robot time per screw (minutes/screw), mean (SD)6.6 (3.8)6.6 (3.9)6.1 (1.9)0.668
 Robot system
  Renaissance16451.3%16052.3%428.6%0.103
  X15648.8%14647.7%1071.4%
Other operative factors
 Prior spine surgery278.4%268.5%17.1%0.856
 Instrumented levels per patient, mean (SD)2.8 (0.9)2.8 (0.9)3.2 (1.4)0.272
 Pelvic fixation216.6%196.2%214.3%0.233
 Operative time (minutes), mean (SD)126 (92)126 (94)129 (58)0.924
Any intraoperative robot-related complication (patients have ≥1 complication)113.4%103.3%17.1%0.437
 Exchange of malpositioned robot screw30.9%31.0%00.0%0.710
 Robot abandonment82.5%82.6%00.0%0.540
  Due to registration error30.9%31.0%00.0%0.710
  Due to unreachable anatomy10.3%10.3%00.0%0.830
  Other41.3%41.3%00.0%0.667
 Intraoperative dural tear00.0%00.0%00.0%
 Intraoperative loss of motor/sensory function00.0%00.0%00.0%
 Return to operating room during same inpatient stay for screw removal and/or exchange41.3%31.0%17.1%0.042
Other non-robot-related complications
 Intraoperative dural tear30.9%31.0%00.0%0.710
Bivariate analysis of post-discharge 1 year reoperations for patient, operative, and robot-related factors Intraoperative robot complications occurred in 3.4% (N=11) of patients. These included robot abandonment (2.5%, N=8), return to the operating room during the same inpatient stay for screw removal and/or exchange (1.3%, N=4), and intraoperative exchange of screw for breach (0.9%, N=3). No intraoperative loss of motor/sensory function was observed in this study’s cohort. Intraoperative dural tear occurred in 3 patients (0.9%), but these occurred during decompression during revision laminectomy and were not directly related to robot factors (Table 1). The 1-year reoperation rate was 4.4% (N=14) [1 to 90 days = 2.5%, N=8; 91 days to 1 year = 1.9%, N=6]. Robot characteristics were not statistically different between those who required revision surgery and those who did not (P>0.05). These factors included open surgery [vs. percutaneous] (no reoperation = 17.6%, N=54 vs. reoperation = 14.3%, N=2), robot time (seconds) per screw (no reoperation = 6.6 vs. reoperation = 6.1), and robot system (Renaissance: no reoperation = 52.3%, N=160 vs. reoperation = 28.6%, N=4; Mazor X: no reoperation = 47.7%, N=146 vs. reoperation = 71.4%, N=10). Intraoperative robot complications such as exchange of a breached screw and robot abandonment for either registration errors or unreachable anatomy did not appear to influence reoperation risk. Interestingly, return to the operating room during the same inpatient stay for screw removal and/or exchange was a significant risk factor for reoperation (no reoperation 1.0% (N=3) vs. reoperation 7.1% (N=1)) (P=0.042) in the bivariate analysis (Table 1). In the secondary outcome analysis, patients with robot complications were more likely to have prolonged length of hospital stay (any robot complication: 5.9 days vs. no robot complication: 4.8 days, P=0.019), a higher estimated blood loss (any robot complication: 324 mL vs. no robot complication: 78 mL, P<0.001), and an increased blood transfusion rate (any robot complication: 21.4% vs. no robot complication: 1%, P<0.001). Robot complications did not appear to be associated with longer operative time or robot time (Table 2).
Table 2

Bivariate analysis of clinical outcomes and any robot-related complication during the index surgery

AllNo robot complicationAny robot complicationP value
Perioperative blood transfusion, # of patients (%)6 (1.9%)3 (1.0%)3 (21.4%)<0.001
Estimated blood loss (mL), mean (SD)87 (146)78 (122)324 (392)<0.001
Robot time (minutes), mean (SD)28.7 (21.3)28 (21)45 (40)0.357
Operative time (minutes), mean (SD)126 (92)124 (90)171 (146)0.189
Length of hospital stay (days), mean (SD)4.8 (1.5)4.8 (1.5)5.9 (1.9)0.019
Any reoperation within 1 year after surgery11 (3.4%)10 (3.3%)1 (7.1%)0.437
Bivariate analysis of clinical outcomes and any robot-related complication during the index surgery The most common reasons for reoperation were wound complications (2.2%, N=7) and persistent symptoms due to inadequate decompression (1.5%, N=5). In this study cohort, no reoperations were due to screw malposition or implant failure (Table 3). In the multivariate analysis for 1-year reoperations, robot-related factors and any robot-related complications were not independent risk factors (Table 4).
Table 3

Reasons for reoperation within 1 year after robot-assisted lumbar fusion

N%
1 to 90 days after index surgery
 Any82.5%
 Wound complication61.9%
 Persistent symptoms due to inadequate decompression20.6%
 Implant failure00.0%
 Dura fistula00.0%
 Screw malposition00.0%
91 days to 1 year after index surgery
 Any61.9%
 Persistent symptoms due to inadequate decompression30.9%
 Wound complication10.3%
 Proximal junctional kyphosis10.3%
 Adjacent segment disease10.3%
 Implant failure00.0%
 Dura fistula00.0%
 Screw malposition00.0%
Table 4

The risk factors for any reoperation within 1 year after robot-assisted lumbar fusion based on multivariate logistic regression

Risk factorsAdjusted odds ratio95% Confidence intervalP value
Patient
 Female1.90.48.60.424
 Obese12.21.31160.029
 CCI1.20.62.30.578
 Smoker<0.01<0.01>999
Preoperative diagnosis (reference = degenerative disk disease)
 Degenerative scoliosis6.80.41240.916
 High-grade spondylolisthesis1.40.1413.30.949
 Pseudarthrosis<0.01<0.01>999
 Spinal stenosis0.2026.20.991
 Other<0.01<0.01>999
Robot operative factors
 Open vs. percutaneous0.20.016.10.347
 Total number of robot screws1.20.72.20.556
 Robot time/screw (minutes/screw)0.90.71.20.393
Other operative factors
 Prior spine surgery1.30.114.40.856
 Total instrumented levels0.50.12.70.419
 Pelvic fixation1531.1>9990.045
 Total operative time1110.903
 Estimated blood loss1110.908
LOS1.20.81.80.477
Any robot-related complication<0.01<0.01>999
Reasons for reoperation within 1 year after robot-assisted lumbar fusion The risk factors for any reoperation within 1 year after robot-assisted lumbar fusion based on multivariate logistic regression

Discussion

Over the last two decades, there has been an increasing amount of literature in support for robot-assisted spine surgery. Most of this literature has focused on pedicle screw accuracy, and recent meta-analyses on randomized controlled trials have found robot-guided spine cases to be more accurate in pedicle screw placement with fewer proximal facet violations than conventional freehand techniques [17, 18]. However, other intraoperative robot complications, such as robot abandonment due to registration issues, are important to identify since they may have a negative impact on operative time and complications; however, their true incidence is not known since they are rarely mentioned in current literature. Furthermore, the consequence of robot-related complications on clinical outcomes, including post-discharge reoperations, has not been examined. Using the Renaissance robot from 2011 to 2016, Keric et al. examined the outcomes for 406 patients who underwent thoracolumbar robot-assisted spine surgery [8]. Intraoperative robot complications included conversion to freehand due to registration failure (1.7%, N=7), dural tears (6.4%, N=26), and screw misplacement requiring revision surgery (0.48%, N=2 screws). The registration issues were seen in patients with severe osteopenia and obese patients whose significant soft tissue resulted in poor radiographic quality. All dural tears occurred during decompression or cage implantation. Screw breach most often occurred due to skiving or platform displacements. The overall revision rate was 9.4%, and included wound complications (4.9%, N=20), durotomy repair (0.49%, N=2), new neurologic deficits (0.49%, N=2), and screw misplacement or screw loosening (3.4%, N=14). Although these authors provided an excellent, detailed assessment of their robot-related complications, it is unclear what the consequence of these errors had on other clinical outcomes, including operative time and length of stay. In addition, Keric et al. report that their study used data from two different neurosurgical departments; however, follow-up data was only reported for one hospital and the mean follow up was only 75.5 days. Furthermore, it is unclear if the rate of screw exchange included intraoperative screw revision during the index surgery. In a single-center, retrospective analysis, Zhang et al. examined robot failure with the Renaissance system in 76 patients (874 screws) [19]. There were 39 screws (4.5%) which were adjusted during the operation, and registration failed in two patients (2.8%), both of whom had congenital scoliosis. In their multivariate analysis, they found that osteoporosis, obesity, vertebral rotation, and congenital scoliosis were independent risk factors for inaccurate pedicle screw placement (Gertzbein and Robbins—grades C, D, and E). Registration failure typically occurs when there are differences between the intraoperative positioning or imaging and the preoperative CT scan. These authors hypothesized that this can occur in patients with non-rigid scoliosis where their deformities may change after muscle relaxation with anesthesia. It is also possible that robots have more difficulty matching preoperative and intraoperative imaging in patients with poor bone mineral density. Other instances of robot failure can occur due to unreachable anatomy, which may be observed in obese patients or those with severe rotation in their vertebral bodies. Zhang et al. provided significant insight on their intraoperative robot complications and emphasized the importance of appropriate patient selection when considering robot-assisted spine surgery. However, the aim of this study was to perform risk factor analysis and the impact of these intraoperative complications on other outcomes was not addressed. The literature on reoperations after robot-assisted spine surgery is sparse and rates are variable. Kantelhardt et al. performed a retrospective analysis on 55 patients (250 screws) who underwent robot-assisted spine surgery with a mean follow up of 3 months [7]. They reported an intraoperative complication rate of 4.7% (major hemorrhage, dural tears), wound healing issues in 13.5%, and reoperation for screw malposition in 1% of robotic-guided cases. Jiang et al examined 28 patients who underwent robot-assisted short lumbar (1 level or 2 level) fusions and reported a 30-day reoperation of 3.6% (N=1) [11]. Schroder and Staartjes reported on 72 patients who underwent robot-guided lumbar fusion for spondylolisthesis with a minimum 1-year follow up. None of their pedicle screws required intraoperative repositioning, and the authors denied any implant-related revisions or complications during the study’s follow-up period. The overall non-screw-related reoperation rate was 4.2% (2 patients with facet cyst removal, 1 patient with adjacent segment disease) [20]. Much of the current literature on reoperation rates after robot-assisted spine surgery is limited by short follow-up, single center series, and relatively small sample sizes. In comparison to prior literature, this is the first multicenter study to examine robot-related complications and their potential influence on other clinical outcomes after robot-assisted spine surgery. We observed that robot complications are not uncommon (3.4%) and included screw breach, robot abandonment due to either unreachable anatomy or registration issues, and return to the operating room for screw exchange. Although robot abandonment and screw exchange, especially where there is no injury to motor/sensory function, may appear benign, these were associated with greater blood loss requiring blood transfusion and significantly longer length of hospital stay (more than 1 day), which can be costly. The reoperation rate within 1 year after the index surgery was 4.4%. The most common reasons for reoperation were wound complications (2.2%) and persistent symptoms due to inadequate decompression (1.5%). Robot factors, including robot time per screw, open vs. percutaneous, and robot system, were not statistically significant for reoperation risk. Furthermore, patients with robot-related complications at the index surgery were not at higher risk for 1-year reoperations. Several limitations should be considered in this study. First, the minimum follow-up was 1 year after the index surgery. It is possible that complications, such as implant failure, can occur beyond this follow-up period. Second, the data collection for patient-reported outcomes was sporadic for this patient population and precluded further analysis of this important outcome variable. It is possible that patients who require multiple surgeries during the same hospital encounter or have prolonged hospital stays due to robot-related complications may have worse patient-reported outcomes. Third, cost data was not available at the time of our study and should be included in future studies to examine factors that may improve cost efficiency. Despite these limitations, this is the first and largest multicenter study to focus on robot-assisted lumbar fusion outcomes. Our study demonstrates that robot-related complications and 1-year reoperation rates are low. Robot-related factors and complications do not increase reoperation risk; however, robot-related complications may increase the risk for greater blood loss requiring a blood transfusion and prolonged length of hospital stay. These findings can be included during the preoperative decision-making discussions with the patient.
  20 in total

Review 1.  Accuracy of Pedicle Screw Placement and Clinical Outcomes of Robot-assisted Technique Versus Conventional Freehand Technique in Spine Surgery From Nine Randomized Controlled Trials: A Meta-analysis.

Authors:  Hui-Min Li; Ren-Jie Zhang; Cai-Liang Shen
Journal:  Spine (Phila Pa 1976)       Date:  2020-01-15       Impact factor: 3.468

Review 2.  Current applications of robotics in spine surgery: a systematic review of the literature.

Authors:  Jacob R Joseph; Brandon W Smith; Xilin Liu; Paul Park
Journal:  Neurosurg Focus       Date:  2017-05       Impact factor: 4.047

Review 3.  Pedicle Screw Revision in Robot-Guided, Navigated, and Freehand Thoracolumbar Instrumentation: A Systematic Review and Meta-Analysis.

Authors:  Victor E Staartjes; Anita M Klukowska; Marc L Schröder
Journal:  World Neurosurg       Date:  2018-05-31       Impact factor: 2.104

Review 4.  The Arrival of Robotics in Spine Surgery: A Review of the Literature.

Authors:  Alexander Ghasem; Akhil Sharma; Dylan N Greif; Milad Alam; Motasem Al Maaieh
Journal:  Spine (Phila Pa 1976)       Date:  2018-12-01       Impact factor: 3.468

5.  Comparative study of 1-year clinical and radiological outcomes using robot-assisted pedicle screw fixation and freehand technique in posterior lumbar interbody fusion: A prospective, randomized controlled trial.

Authors:  Ho-Joong Kim; Kyoung-Tak Kang; Heoung-Jae Chun; Ji Sup Hwang; Bong-Soon Chang; Choon-Ki Lee; Jin S Yeom
Journal:  Int J Med Robot       Date:  2018-05-22       Impact factor: 2.547

6.  Effect of Robot-Assisted Surgery on Lumbar Pedicle Screw Internal Fixation in Patients with Osteoporosis.

Authors:  Shuo Feng; Wei Tian; Yuqing Sun; Yajun Liu; Yi Wei
Journal:  World Neurosurg       Date:  2019-02-18       Impact factor: 2.104

7.  A prospective, randomized, controlled trial of robot-assisted vs freehand pedicle screw fixation in spine surgery.

Authors:  Ho-Joong Kim; Whan-Ik Jung; Bong-Soon Chang; Choon-Ki Lee; Kyoung-Tak Kang; Jin S Yeom
Journal:  Int J Med Robot       Date:  2016-09-27       Impact factor: 2.547

8.  Robotic-assisted pedicle screw placement fails to reduce overall postoperative complications in fusion surgery.

Authors:  Alexander M Lieber; Gregory J Kirchner; Yehuda E Kerbel; Amrit S Khalsa
Journal:  Spine J       Date:  2018-08-29       Impact factor: 4.166

9.  Perioperative course and accuracy of screw positioning in conventional, open robotic-guided and percutaneous robotic-guided, pedicle screw placement.

Authors:  Sven Rainer Kantelhardt; Ramon Martinez; Stefan Baerwinkel; Ralf Burger; Alf Giese; Veit Rohde
Journal:  Eur Spine J       Date:  2011-03-08       Impact factor: 3.134

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1.  Design and evaluation of an intelligent reduction robot system for the minimally invasive reduction in pelvic fractures.

Authors:  Chunpeng Zhao; Yu Wang; Xinbao Wu; Gang Zhu; Shuchang Shi
Journal:  J Orthop Surg Res       Date:  2022-04-04       Impact factor: 2.359

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