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Shin D, Razzouk J, Thomas J, Nguyen K, Cabrera A, Bohen D, Lipa SA, Bono CM, Shaffrey CI, Cheng W, Danisa O. Social determinants of health and disparities in spine surgery: a 10-year analysis of 8,565 cases using ensemble machine learning and multilayer perceptron. Spine J 2024:S1529-9430(24)00890-8. [PMID: 39033881 DOI: 10.1016/j.spinee.2024.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 06/28/2024] [Accepted: 07/11/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND CONTEXT The influence of SDOH on spine surgery is poorly understood. Historically, researchers commonly focused on the isolated influences of race, insurance status, or income on healthcare outcomes. However, analysis of SDOH is becoming increasingly more nuanced as viewing social factors in aggregate rather than individually may offer more precise estimates of the impact of SDOH on healthcare delivery. PURPOSE The aim of this study was to evaluate the effects of patient social history on length of stay (LOS) and readmission within 90 days following spine surgery using ensemble machine learning and multilayer perceptron. STUDY DESIGN Retrospective chart review. PATIENT SAMPLE 8,565 elective and emergency spine surgery cases performed from 2013 to 2023 using our institution's database of longitudinally collected electronic medical record information. OUTCOMES MEASURES Patient LOS, discharge disposition, and rate of 90-day readmission. METHODS Ensemble machine learning and multilayer perceptron were employed to predict LOS and readmission within 90 days following spine surgery. All other subsequent statistical analysis was performed using SPSS version 28. To further assess correlations among variables, Pearson's correlation tests and multivariate linear regression models were constructed. Independent sample t-tests, paired sample t-tests, one-way analysis of variance (ANOVA) with post-hoc Bonferroni and Tukey corrections, and Pearson's chi-squared test were applied where appropriate for analysis of continuous and categorical variables. RESULTS Black patients demonstrated a greater LOS compared to white patients, but race and ethnicity were not significantly associated with 90-day readmission rates. Insured patients had a shorter LOS and lower readmission rates compared to non-insured patients, as did privately insured patients compared to publicly insured patients. Patients discharged home had lower LOS and lower readmission rates, compared to patients discharged to other facilities. Marriage decreased both LOS and readmission rates, underweight patients showcased increased LOS and readmission rates, and religion was shown to impact LOS and readmission rates. When utilizing patient social history, lab values, and medical history, machine learning determined the top 5 most-important variables for prediction of LOS -along with their respective feature importances-to be insurance status (0.166), religion (0.100), ICU status (0.093), antibiotic use (0.061), and case status: elective or urgent (0.055). The top 5 most-important variables for prediction of 90-day readmission-along with their respective feature importances-were insurance status (0.177), religion (0.123), discharge location (0.096), emergency case status (0.064), and history of diabetes (0.041). CONCLUSIONS This study highlights that SDOH is influential in determining patient length of stay, discharge disposition, and likelihood of readmission following spine surgery. Machine learning was utilized to accurately predict LOS and 90-day readmission with patient medical history, lab values, and social history, as well as social history alone.
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Affiliation(s)
- David Shin
- Loma Linda University School of Medicine, 11175 Campus St, Loma Linda, 92350 CA, USA
| | - Jacob Razzouk
- Loma Linda University School of Medicine, 11175 Campus St, Loma Linda, 92350 CA, USA
| | - Jonathan Thomas
- Department of Ophthalmology, Loma Linda University, 11370 Anderson St #1800, 92354, Loma Linda, CA, USA
| | - Kai Nguyen
- Loma Linda University School of Medicine, 11175 Campus St, Loma Linda, 92350 CA, USA
| | - Andrew Cabrera
- Loma Linda University School of Medicine, 11175 Campus St, Loma Linda, 92350 CA, USA
| | - Daniel Bohen
- Information Sciences Institute, University of Southern California, 4676 Admiral Way #1001, 90292, Los Angeles, CA, USA
| | - Shaina A Lipa
- Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, 02115, Boston, MA, USA
| | - Christopher M Bono
- Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, 02114, Boston, MA, USA
| | - Christopher I Shaffrey
- Department of Neurosurgery, Duke University Medical Center, 40 Duke Medicine Cir Suit 1554, 27710, Durham, NC, USA
| | - Wayne Cheng
- Division of Orthopaedic Surgery, Jerry L. Pettis Memorial Veterans Hospital, 11201 Benton St, 92357, Loma Linda, CA, USA
| | - Olumide Danisa
- Department of Orthopaedic Surgery, Loma Linda University Medical Center, 11234 Anderson St, 92354, Loma Linda, CA, USA.
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Lin RT, Dalton JF, Como CJ, Chang AY, Tang MY, Oyekan AA, Sadhwani S, Wawrose RA, Lee JY, Shaw JD. Formal Radiologist Interpretations of Intraoperative Spine Radiographs Have Low Clinical Value. Spine (Phila Pa 1976) 2024; 49:933-940. [PMID: 38407343 DOI: 10.1097/brs.0000000000004973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 02/15/2024] [Indexed: 02/27/2024]
Abstract
STUDY DESIGN Retrospective cohort. OBJECTIVE To evaluate the clinical relevance, usefulness, and financial implications of intraoperative radiograph interpretation by radiologists in spine surgery. SUMMARY OF BACKGROUND DATA Due to rising health care costs, spine surgery is under scrutiny to maximize value-based care. Formal radiographic analysis remains a potential source of unnecessary health care costs, especially for intraoperative radiographs. MATERIALS AND METHODS A retrospective cohort analysis was performed on all adult elective spine surgeries at a single institution between July 2020 and July 2021. Demographic and radiographic data were collected, including intraoperative localization and post-instrumentation radiographs. Financial data were obtained through the institution's price estimator. Radiographic characteristics included time from radiographic imaging to completion of radiologist interpretation report, completion of radiologist interpretation report before the conclusion of surgical procedure, clinical relevance, and clinical usefulness. Reports were considered clinically relevant if the spinal level of the procedure was described and clinically useful if completed before the conclusion of the procedure and deemed clinically relevant. RESULTS Four hundred eighty-one intraoperative localization and post-instrumentation radiographs from 360 patients revealed a median delay of 128 minutes between imaging and completion of the interpretive report. Only 38.9% of reports were completed before the conclusion of surgery. There were 79.4% deemed clinically relevant and only 33.5% were clinically useful. Localization reports were completed more frequently before the conclusion of surgery (67.2% vs. 34.4%) but with lower clinical relevance (90.1% vs. 98.5%) and clinical usefulness (60.3% vs. 33.6%) than post-instrumentation reports. Each patient was charged $32 to $34 for the interpretation fee, cumulating a minimum total cost of $15,392. CONCLUSIONS Formal radiographic interpretation of intraoperative spine radiographs was of low clinical utility for spine surgeons. Institutions should consider optimizing radiology workflows to improve timeliness and clinical relevance or evaluate the necessity of reflexive consultation to radiology for intraoperative imaging interpretation to ensure that value-based care is maximized during spine surgeries. LEVEL OF EVIDENCE 3.
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Affiliation(s)
- Ryan T Lin
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
- Pittsburgh Orthopaedic Spine Research (POSR) Group, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA
| | - Jonathan F Dalton
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
- Pittsburgh Orthopaedic Spine Research (POSR) Group, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA
- Department of Orthopaedic Surgery, Orland Bethel Family Musculoskeletal Research Center (BMRC), Pittsburgh, PA
| | - Christopher J Como
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
- Pittsburgh Orthopaedic Spine Research (POSR) Group, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA
- Department of Orthopaedic Surgery, Orland Bethel Family Musculoskeletal Research Center (BMRC), Pittsburgh, PA
| | - Audrey Y Chang
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
- Pittsburgh Orthopaedic Spine Research (POSR) Group, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA
| | - Melissa Yunting Tang
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
- Pittsburgh Orthopaedic Spine Research (POSR) Group, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA
- Department of Orthopaedic Surgery, Orland Bethel Family Musculoskeletal Research Center (BMRC), Pittsburgh, PA
| | - Anthony A Oyekan
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
- Pittsburgh Orthopaedic Spine Research (POSR) Group, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA
- Department of Orthopaedic Surgery, Orland Bethel Family Musculoskeletal Research Center (BMRC), Pittsburgh, PA
| | - Shaan Sadhwani
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
- Pittsburgh Orthopaedic Spine Research (POSR) Group, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA
| | - Richard A Wawrose
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
- Pittsburgh Orthopaedic Spine Research (POSR) Group, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA
| | - Joon Y Lee
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
- Pittsburgh Orthopaedic Spine Research (POSR) Group, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA
- Department of Orthopaedic Surgery, Orland Bethel Family Musculoskeletal Research Center (BMRC), Pittsburgh, PA
| | - Jeremy D Shaw
- Department of Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA
- Pittsburgh Orthopaedic Spine Research (POSR) Group, Department of Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, PA
- Department of Orthopaedic Surgery, Orland Bethel Family Musculoskeletal Research Center (BMRC), Pittsburgh, PA
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Blumenthal SL, Edionwe JI, Courtois EC, Guyer RD, Satin AM, Ohnmeiss DD. Is the Use of Intraoperative Neuromonitoring Justified During Lumbar Anterior Approach Surgery? Int J Spine Surg 2024; 18:217-221. [PMID: 38471741 PMCID: PMC11292559 DOI: 10.14444/8589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Intraoperative neuromonitoring (IONM) became widely used in spine surgery to reduce the risk of iatrogenic nerve injury. However, the proliferation of IONM has fallen into question based on effectiveness and costs, with a lack of evidence supporting its benefit for specific spine surgery procedures. The purpose of this study was to evaluate the use of IONM and the rate of neurological injury associated with anterior lumbar spinal surgery. METHODS This was a retrospective study on a consecutive series of 359 patients undergoing lumbar anterior approach surgery for anterior lumbar interbody fusion (ALIF), total disc replacement (TDR), or hybrid (ALIF with TDR) for the treatment of symptomatic disc degeneration. Patients undergoing any posterior spine surgery were excluded. Operative notes were reviewed to identify any changes in IONM and the surgeon's response. Clinic notes were reviewed up to 3 months postoperatively for indications of iatrogenic nerve injury. RESULTS There were 3 aberrant results with respect to IONM. Changes in IONM of a lower extremity occurred for 1 patient (0.3%). The surgeon evaluated the situation and there was no observable reason for the IONM change. Upon waking, the patient was found to have no neurological deficit. There were 2 cases of neurologic deficits in this population, which were classified as false-negatives of IONM (0.56%, 95% CI: 0.1% to 1.8%). In both cases, the patients were found to have a foot drop after the anterior approach surgery. CONCLUSION In this study, there was 1 false-positive and 2 false-negative results of IONM. These data suggest that IONM is not beneficial in this population. However, many surgeons may feel obligated to use IONM for medicolegal reasons. There is a need for future studies to delineate cases in which IONM is beneficial and the type of monitoring to use, if any, for specific spine surgery types. CLINICAL RELEVANCE This study questions the routine use of IONM in anterior lumbar approach surgery for the treatment of symptomatic disc degeneration. This has significant implications related to the cost of this practice. LEVEL OF EVIDENCE: 4
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Affiliation(s)
| | | | | | - Richard D Guyer
- Center for Disc Replacement at Texas Back Institute, Plano, TX, USA
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Oliva AM, Montejano J, Simmons CG, Vogel SA, Isaza CF, Clavijo CF. New frontiers in intraoperative neurophysiologic monitoring: a narrative review. ANNALS OF TRANSLATIONAL MEDICINE 2023; 11:388. [PMID: 37970609 PMCID: PMC10632568 DOI: 10.21037/atm-22-4586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 06/25/2023] [Indexed: 11/17/2023]
Abstract
Background and Objective Neurological insults during surgery arise from anatomic and/or physiologic perturbations. Intraoperative neurophysiologic monitoring (IONM) fills a critical role of ensuring that any neurological insults during certain surgical procedures are caught in real-time to prevent patient harm. IONM provides immediate feedback to the surgeon and anesthesiologist about the need for an intervention to prevent a neurologic deficit postoperatively. As important as it seems to have IONM available to any patient having surgery where a neurological injury is possible, the truth is that IONM is unavailable to large swaths of people around the world. This review is intended to bring attention to all of the ways IONM is critically important for a variety of surgeries and highlight the barriers preventing most patients around the world from benefiting from the technology. Expansion of IONM to benefit patients from all over the world is the new frontier. Methods We searched all English language original papers and reviews using Embase and MEDLINE/PubMed databases published from 1995 to 2022. Different combinations of the following search terms were used: intraoperative neuromonitoring, neurosurgery, low-income countries, cost, safety, and efficacy. Key Content and Findings We describe common IONM modalities used during surgery as well as explore barriers to implementation of IONM in resource-limited regions. Additionally, we describe ongoing efforts to establish IONM capabilities in new locations around the world. Conclusions In this paper, we performed a review of the literature on IONM with an emphasis on the basic understanding of clinical applications and the barriers for expansion into resource-limited settings. Finally, we provide our interpretation of "new frontiers" in IONM quite literally facilitating access to the tools and education so a hospital in Sub-Saharan Africa can incorporate IONM for their high-risk surgeries.
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Affiliation(s)
- Anthony M. Oliva
- Department of Anesthesiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Julio Montejano
- Department of Anesthesiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Colby G. Simmons
- Department of Anesthesiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Scott A. Vogel
- Department of Anesthesiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Carlos F. Isaza
- Departments of Surgery and Anesthesiology, University of Caldas, Manizales, Colombia
| | - Claudia F. Clavijo
- Department of Anesthesiology, University of Colorado School of Medicine, Aurora, CO, USA
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Yongjun T, Yuntian Z, Biao C, Zenghui J. Intraoperative triggered electromyographic monitoring of pedicle screw efficiently reduces the lumbar pedicle breach and re-operative rate-a retrospective analysis based on postoperative computed tomography scan. BMC Musculoskelet Disord 2023; 24:535. [PMID: 37386387 DOI: 10.1186/s12891-023-06658-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 06/21/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND To investigate whether intraoperative triggered electromyographic (T-EMG) monitoring could effectively reduce the breach rate of pedicle screws and the revision rate. METHODS Patients with posterior pedicle screw fixation from L1-S1 were enrolled between June 2015 and May 2021. The patients in whom T-EMG was utilized were placed in the T-EMG group, and the remaining patients were considered in the non-T-EMG group. Three spine surgeons evaluated the images. The two groups were divided into subgroups based on screw position (lateral/superior and medial/inferior) and breach degree (minor and major). Patient demographics, screw positions, and revision procedures were reviewed. RESULTS A total of 713 patients (3403 screws) who underwent postoperative computed tomography (CT) scans were included. Intraobserver and interobserver reliabilities were perfect. The T-EMG and non-T-EMG groups had 374(1723 screws) and 339 (1680 screws) cases, respectively. T-EMG monitoring efficiently reduced the overall screw breach (T-EMG 7.78% vs. non-T-EMG 11.25%, p = 0.001). in the subgroup analysis, the medial/inferior breach rate was higher in the T-EMG group than in the non-T-EMG group (T-EMG 6.27% vs. non-T-EMG 8.93%, p = 0.002); however, no difference was observed between the lateral and superior breaches (p = 0.064). A significant difference was observed between the minor (T-EMG 6.21% vs. non-T-EMG 8.33%, p = 0.001) and major (T-EMG 0.06% vs. non-T-EMG 0.6%, p = 0.001) medial or inferior screw breach rates. Six screws (all in the non-T-EMG group) underwent revision, with a significant difference between the groups (T-EMG 0.0% vs. non-T-EMG 3.17%, p = 0.044). CONCLUSIONS T-EMG is a valuable tool in improving the accuracy of screw placement and reducing the screw revision rate. The screw-nerve root distance is vital in causing symptomatic screw breach. TRIAL REGISTRATION The study is retrospective registered in China National Medical Research Registration and Archival information system in Nov 17th 2022.
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Affiliation(s)
- Tong Yongjun
- Department of Orthopedics, Zhejiang Hospital, No.1229, Gudun Rd, Hangzhou, 310030, Zhejiang, China
| | - Zhao Yuntian
- Sage Ridge School, 2515 Crossbow Ct, Reno, NV, 89511, USA
| | - Chen Biao
- Department of Orthopedics, Zhejiang Hospital, No.1229, Gudun Rd, Hangzhou, 310030, Zhejiang, China
| | - Jiang Zenghui
- Department of Orthopedics, Zhejiang Hospital, No.1229, Gudun Rd, Hangzhou, 310030, Zhejiang, China.
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Zelenty WD, Paek S, Dodo Y, Sarin M, Shue J, Soffin E, Lebl DR, Cammisa FP, Girardi FP, Sokunbi G, Sama AA, Hughes AP. Utilization Trends of Intraoperative Neuromonitoring for Anterior Cervical Discectomy and Fusion in New York State. Spine (Phila Pa 1976) 2023; 48:492-500. [PMID: 36576864 DOI: 10.1097/brs.0000000000004569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 12/04/2022] [Indexed: 12/29/2022]
Abstract
STUDY DESIGN Retrospective cohort analysis. OBJECTIVE To elucidate trends in the utilization of intraoperative neuromonitoring (IONM) during anterior cervical discectomy and fusion (ACDF) procedures in NY state using the Statewide Planning and Research Cooperative System and to determine if utilization of IONM resulted in a reduction in postoperative neurological deficits. SUMMARY OF BACKGROUND DATA IONM has been available to spinal surgeons for several decades. It has become increasingly prevalent in all facets of spinal surgery including elective ACDF procedures. The utility of IONM for preventing a neurological deficit in elective spine procedures has recently been called into question. MATERIALS AND METHODS The Statewide Planning and Research Cooperative System database were accessed to perform a retrospective cohort study comparing monitored versus unmonitored ACDF procedures between 2007 and 2018 as defined by the International Classification of Disease-9 and 10 Procedural Coding System (ICD-9 PCS, ICD-10 PCS) codes. Patient demographics, medical history, surgical intervention, pertinent in-hospital events, and urban versus rural medical centers (as defined by the United States Office of Management and Budget) were recorded. Propensity-score-matched comparisons were used to identify factors related to the utilization of IONM and risk factors for neurological deficits after elective ACDF. RESULTS A total of 70,838 [15,092 monitored (21.3%) and 55,746 (78.7%) unmonitored] patients' data were extracted. The utilization of IONM since 2007 has increased in a linear manner from 0.9% of cases in 2007 to 36.7% by 2018. Overall, baseline characteristics of patients who were monitored during cases differed significantly from unmonitored patients in age, race/ethnicity, insurance type, presence of myelopathy or radiculopathy, and Charlson Comorbidity Index; however, only race/ethnicity was statistically significant when analyzed using propensity-score-matched. When comparing urban and rural medical centers, there is a significant lag in the adoption of the technology with no monitored cases in rural centers until 2012 with significant fluctuations in utilization compared with steadily increasing utilization among urban centers. From 2017 to 2018, reporting of neurological deficits after surgery resembled literature-established norms. Pooled analysis of these years revealed that the incidence of neurological complications occurred more frequently in monitored cases than in unmonitored (3.0% vs. 1.4%, P < 0.001). CONCLUSIONS The utility of IONM for elective ACDF remains uncertain; however, it continues to gain popularity for routine cases. For medical centers that lack similar resources to centers in more densely populated regions of NY state, reliable access to this technology is not a certainty. In our analysis of intraoperative neurological complications, it seems that IONM is not protective against neurological injury.
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Affiliation(s)
- William D Zelenty
- Orthopaedic Surgery, Spine Care Institute, Hospital for Special Surgery, New York, NY
| | - Samuel Paek
- Geisinger Commonwealth School of Medicine, Scranton, PA
| | - Yusuke Dodo
- Orthopaedic Surgery, Spine Care Institute, Hospital for Special Surgery, New York, NY
- Department of Orthopedic Surgery, School of Medicine, Showa University Hospital, Tokyo, Japan
| | - Michele Sarin
- Orthopaedic Surgery, Spine Care Institute, Hospital for Special Surgery, New York, NY
| | - Jennifer Shue
- Orthopaedic Surgery, Spine Care Institute, Hospital for Special Surgery, New York, NY
| | - Ellen Soffin
- Orthopaedic Surgery, Spine Care Institute, Hospital for Special Surgery, New York, NY
| | - Darren R Lebl
- Orthopaedic Surgery, Spine Care Institute, Hospital for Special Surgery, New York, NY
| | - Frank P Cammisa
- Orthopaedic Surgery, Spine Care Institute, Hospital for Special Surgery, New York, NY
| | - Federico P Girardi
- Orthopaedic Surgery, Spine Care Institute, Hospital for Special Surgery, New York, NY
| | - Gbolabo Sokunbi
- Orthopaedic Surgery, Spine Care Institute, Hospital for Special Surgery, New York, NY
| | - Andrew A Sama
- Orthopaedic Surgery, Spine Care Institute, Hospital for Special Surgery, New York, NY
| | - Alexander P Hughes
- Orthopaedic Surgery, Spine Care Institute, Hospital for Special Surgery, New York, NY
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Beyer RS, Nguyen A, Brown NJ, Gendreau JL, Hatter MJ, Pooladzandi O, Pham MH. Spinal robotics in cervical spine surgery: a systematic review with key concepts and technical considerations. J Neurosurg Spine 2023; 38:66-74. [PMID: 36087333 DOI: 10.3171/2022.7.spine22473] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 07/06/2022] [Indexed: 01/05/2023]
Abstract
OBJECTIVE Spinal robotics for thoracolumbar procedures, predominantly employed for the insertion of pedicle screws, is currently an emerging topic in the literature. The use of robotics in instrumentation of the cervical spine has not been broadly explored. In this review, the authors aimed to coherently synthesize the existing literature of intraoperative robotic use in the cervical spine and explore considerations for future directions and developments in cervical spinal robotics. METHODS A literature search in the Web of Science, Scopus, and PubMed databases was performed for the purpose of retrieving all articles reporting on cervical spine surgery with the use of robotics. For the purposes of this study, randomized controlled trials, nonrandomized controlled trials, retrospective case series, and individual case reports were included. The Newcastle-Ottawa Scale was utilized to assess risk of bias of the studies included in the review. To present and synthesize results, data were extracted from the included articles and analyzed using the PyMARE library for effect-size meta-analysis. RESULTS On careful review, 6 articles published between 2016 and 2022 met the inclusion/exclusion criteria, including 1 randomized controlled trial, 1 nonrandomized controlled trial, 2 case series, and 2 case reports. These studies featured a total of 110 patients meeting the inclusion criteria (mean age 53.9 years, range 29-77 years; 64.5% males). A total of 482 cervical screws were placed with the use of a surgical robot, which yielded an average screw deviation of 0.95 mm. Cervical pedicle screws were the primary screw type used, at a rate of 78.6%. According to the Gertzbein-Robbins classification, 97.7% of screws in this review achieved a clinically acceptable grade. The average duration of surgery, blood loss, and postoperative length of stay were all decreased in minimally invasive robotic surgery relative to open procedures. Only 1 (0.9%) postoperative complication was reported, which was a surgical site infection, and the mean length of follow-up was 2.7 months. No mortality was reported. CONCLUSIONS Robot-assisted cervical screw placement is associated with acceptable rates of clinical grading, operative time, blood loss, and postoperative complications-all of which are equal to or improved relative to the metrics seen in the conventional use of fluoroscopy or computer-assisted navigation for cervical screw placement.
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Affiliation(s)
- Ryan S Beyer
- 1Department of Neurological Surgery, University of California, Irvine, Orange
| | - Andrew Nguyen
- 2Department of Neurosurgery, UC San Diego School of Medicine, San Diego
| | - Nolan J Brown
- 1Department of Neurological Surgery, University of California, Irvine, Orange
| | - Julian L Gendreau
- 4Department of Biomedical Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, Maryland
| | - Matthew J Hatter
- 1Department of Neurological Surgery, University of California, Irvine, Orange
| | - Omead Pooladzandi
- 3Department of Electrical and Computer Engineering, University of California, Los Angeles, California; and
| | - Martin H Pham
- 2Department of Neurosurgery, UC San Diego School of Medicine, San Diego
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