Faculty Bibliography
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Canadian journal of surgery = Journal canadien de chirurgie. 2024:67(6suppl1):S17-S76.DOI: 10.1503/cjs.011424
Canadian Spine Society: 24th Annual Scientific Conference, Wednesday, February 28 - Saturday, March 2, Fairmont Chateau Whistler, Whistler, B.C., Canada
PMID: 39537311
ISSN: 1488-2310
CID: 5753252
Management of Refractory Cancer Pain with Intrathecal Drug Delivery and Spinal Cord Stimulation
BACKGROUND/UNASSIGNED:Intrathecal pumps (ITPs) are indicated for refractory cancer pain and decrease systemic opioid requirements. While not yet indicated for cancer pain, spinal cord stimulators (SCSs) are used off-label for cancer pain, with increasing evidence of their efficacy. MATERIALS AND METHODS/UNASSIGNED:A retrospective chart review was conducted of patients who underwent both ITP and at least SCS trial for cancer pain. Primary outcomes were pain numeric rating scale (NRS) and daily morphine equivalents (MEQs). RESULTS/UNASSIGNED:Seventeen patients were identified. Both ITP and SCS were associated with significant decreases in pain ratings at the 3-month follow-up, but this decrease became nonsignificant subsequently. ITP, but not SCS, was associated with a significant decrease in MEQ. CONCLUSIONS/UNASSIGNED:ITP and SCS may both provide efficacy for cancer pain, but the opioid-sparing effects of SCS may be limited. ITP and SCS may potentially be complementary in their ability to provide relief from cancer-related pain.
PMCID:11319851
PMID: 39144131
ISSN: 2689-2820
CID: 5892282
Gender and Sex Differences in Health-related Quality of Life, Clinical Outcomes and Survival after Treatment of Metastatic Spine Disease
STUDY DESIGN/METHODS:Retrospective review of prospective, multicenter and international cohort study. OBJECTIVE:To describe the effect of gender on HRQoL, clinical outcomes and survival for patients with spinal metastases treated with either surgery and/or radiation. SUMMARY OF BACKGROUND DATA/BACKGROUND:Gender differences in health-related outcomes are demonstrated in numerous studies, with women experiencing worse outcomes and receiving lower standards of care than men, however, the influence that gender has on low health-related quality of life (HRQoL) and clinical outcomes after spine surgery remains unclear. METHODS:Patient demographic data, overall survival, treatment details, perioperative complications, and HRQoL measures including EQ-5D, pain NRS, the short form 36 version 2 (SF-36v2) and the Spine Oncology Study Group Outcomes Questionnaire (SOSGOQ2.0) were reviewed. Patients were stratified by sex, and a separate sensitivity analysis that excluded gender-specific cancers (i.e., breast, prostate, etc.) was performed. RESULTS:The study cohort included 207 female and 183 male patients, with age, smoking status, and site of primary cancer being significantly different between the two cohorts (P<0.001). Both males and females experienced significantly improved SOSGOQ2.0, EQ-5D, and pain NRS scores at all study time points from baseline (P<0.001). Upon sensitivity analysis, (gender-specific cancers removed from analysis), the significant improvement in SOSGOQ physical, mental, and social subdomains and on SF-36 domains disappeared for females. Males experienced higher rates of postoperative complications. Kaplan-Meier survival analysis of both the overall and sensitivity analysis cohorts showed females lived longer than males after treatment (P=0.001 and 0.043, respectively). CONCLUSION/CONCLUSIONS:Both males and females experienced significantly improved HRQoL scores after treatment, but females demonstrated longer survival and a lower complication rate. This study suggests that gender may be a prognostic factor in survival and clinical outcomes for patients undergoing treatment for spine metastases and should be taken into consideration when counseling patients accordingly.
PMID: 38149519
ISSN: 1528-1159
CID: 5623572
Developing an Automated Registry (Autoregistry) of Spine Surgery Using Natural Language Processing and Health System Scale Databases
BACKGROUND AND OBJECTIVES/OBJECTIVE:Clinical registries are critical for modern surgery and underpin outcomes research, device monitoring, and trial development. However, existing approaches to registry construction are labor-intensive, costly, and prone to manual error. Natural language processing techniques combined with electronic health record (EHR) data sets can theoretically automate the construction and maintenance of registries. Our aim was to automate the generation of a spine surgery registry at an academic medical center using regular expression (regex) classifiers developed by neurosurgeons to combine domain expertise with interpretable algorithms. METHODS:We used a Hadoop data lake consisting of all the information generated by an academic medical center. Using this database and structured query language queries, we retrieved every operative note written in the department of neurosurgery since our transition to EHR. Notes were parsed using regex classifiers and compared with a random subset of 100 manually reviewed notes. RESULTS:A total of 31 502 operative cases were downloaded and processed using regex classifiers. The codebase required 5 days of development, 3 weeks of validation, and less than 1 hour for the software to generate the autoregistry. Regex classifiers had an average accuracy of 98.86% at identifying both spinal procedures and the relevant vertebral levels, and it correctly identified the entire list of defined surgical procedures in 89% of patients. We were able to identify patients who required additional operations within 30 days to monitor outcomes and quality metrics. CONCLUSION/CONCLUSIONS:This study demonstrates the feasibility of automatically generating a spine registry using the EHR and an interpretable, customizable natural language processing algorithm which may reduce pitfalls associated with manual registry development and facilitate rapid clinical research.
PMID: 37345933
ISSN: 1524-4040
CID: 5542832
Role of Frailty Status in Prediction of Clinical Outcomes of Traumatic Spinal Injury: A Systematic Review and Meta-Analysis
Although many frailty tools have been used to predict traumatic spinal injury (TSI) outcomes, identifying predictors of outcomes after TSI in the aged population is difficult. Frailty, age and TSI association are interesting topics of discussion in geriatric literature. However, the association between these variables are yet to be clearly elucidated. We conducted a systematic review to investigate the association between frailty and TSI outcomes. The authors searched Medline, EMBASE, Scopus, and Web of Science for relevant studies. Studies with observational designs that assessed baseline frailty status in individuals suffering from TSI published from inception until 26th March 2023 were included. LoS, AEs, and mortality were the outcomes of interest. Of the 2425 citations, 16 studies involving 37,640 participants were included. The modified frailty index (mFI) was the most common tool used to assess frailty. Meta-analysis was employed only in studies that used mFI for measuring frailty. Frailty was significantly associated with increased in-hospital or 30-day mortality (pooled OR: 1.93 [1.19; 3.11]), non-routine discharge (pooled OR: 2.44 [1.34; 4.44]), and AEs or complications (pooled OR: 2.00 [1.14; 3.50]). However, no significant relationship was found between frailty and LoS (pooled OR: 3.02 [0.86; 10.60]). Heterogeneity was observed across multiple factors, including age, injury level, frailty assessment tool, and spinal cord injury (SCI) characteristics. In conclusion, although there is limited data concerning using frailty scales to predict short-term outcomes after TSI, the results showed that frailty status may be a predictor of in-hospital mortality, AEs and unfavorable discharge destination.
PMID: 37432902
ISSN: 1557-9042
CID: 5537522
Digital Biomarkers and the Evolution of Spine Care Outcomes Measures: Smartphones and Wearables
Over the past generation, outcome measures in spine care have evolved from a reliance on clinician-reported assessment toward recognizing the importance of the patient's perspective and the wide incorporation of patient-reported outcomes (PROs). While patient-reported outcomes are now considered an integral component of outcomes assessments, they cannot wholly capture the state of a patient's functionality. There is a clear need for quantitative and objective patient-centered outcome measures. The pervasiveness of smartphones and wearable devices in modern society, which passively collect data related to health, has ushered in a new era of spine care outcome measurement. The patterns emerging from these data, so-called "digital biomarkers," can accurately describe characteristics of a patient's health, disease, or recovery state. Broadly, the spine care community has thus far concentrated on digital biomarkers related to mobility, although the researcher's toolkit is anticipated to expand in concert with advancements in technology. In this review of the nascent literature, we describe the evolution of spine care outcome measurements, outline how digital biomarkers can supplement current clinician-driven and patient-driven measures, appraise the present and future of the field in the modern era, as well as discuss present limitations and areas for further study, with a focus on smartphones (see Supplemental Digital Content , http://links.lww.com/NEU/D809 , for a similar appraisal of wearable devices).
PMID: 37246874
ISSN: 1524-4040
CID: 5866212
Surgery for Metastatic Spinal Disease in Octogenarians and Above: Analysis of 78 Patients
STUDY DESIGN/UNASSIGNED:Retrospective Cohort Study. OBJECTIVE/UNASSIGNED:Octogenarians living with spinal metastases are a challenging population to treat. Our objective was to identify the rate, types, management, and predictors of complications and survival in octogenarians following surgery for spinal metastases. METHODS/UNASSIGNED:A retrospective review of a prospectively collected cohort of patients aged 80 years or older who underwent surgery for metastatic spinal tumor treatment between 2008 and 2019 were included. Demographic, intraoperative, complications, and postoperative follow-up data was collected. Cox proportional hazards regression and logistic regression were used to associate variables with overall survival and postoperative complications, respectively. RESULTS/UNASSIGNED:= 0.04). Significant associations of increased risk of death were also noted with surgeries with decompression, and cervical/cervicothoracic index level of disease. For deceased patients, median time to death was 4.5 months. For living patients, median follow-up was 14.5 months. The Kaplan-Meier based median overall survival for the cohort was 11.6 months (95% CI: 6.2-19.1). CONCLUSIONS/UNASSIGNED:In octogenarians undergoing surgery with instrumentation for spinal metastases, the median overall survival is 11.6 months. There is an increased complication rate, but only 7% are life-threatening or fatal. Patients are at increased risk for complications and mortality particularly when performing decompression with stabilization, with increasing intraoperative blood loss, and with cervical/cervicothoracic tumors.
PMCID:10448094
PMID: 34670413
ISSN: 2192-5682
CID: 5892222
Health system-scale language models are all-purpose prediction engines
Physicians make critical time-constrained decisions every day. Clinical predictive models can help physicians and administrators make decisions by forecasting clinical and operational events. Existing structured data-based clinical predictive models have limited use in everyday practice owing to complexity in data processing, as well as model development and deployment1-3. Here we show that unstructured clinical notes from the electronic health record can enable the training of clinical language models, which can be used as all-purpose clinical predictive engines with low-resistance development and deployment. Our approach leverages recent advances in natural language processing4,5 to train a large language model for medical language (NYUTron) and subsequently fine-tune it across a wide range of clinical and operational predictive tasks. We evaluated our approach within our health system for five such tasks: 30-day all-cause readmission prediction, in-hospital mortality prediction, comorbidity index prediction, length of stay prediction, and insurance denial prediction. We show that NYUTron has an area under the curve (AUC) of 78.7-94.9%, with an improvement of 5.36-14.7% in the AUC compared with traditional models. We additionally demonstrate the benefits of pretraining with clinical text, the potential for increasing generalizability to different sites through fine-tuning and the full deployment of our system in a prospective, single-arm trial. These results show the potential for using clinical language models in medicine to read alongside physicians and provide guidance at the point of care.
PMCID:10338337
PMID: 37286606
ISSN: 1476-4687
CID: 5536672
Carbon fiber-reinforced PEEK spinal implants for primary and metastatic spine tumors: a systematic review on implant complications and radiotherapy benefits
OBJECTIVE:By minimizing imaging artifact and particle scatter, carbon fiber-reinforced polyetheretherketone (CF-PEEK) spinal implants are hypothesized to enhance radiotherapy (RT) planning/dosing and improve oncological outcomes. However, robust clinical studies comparing tumor surgery outcomes between CF-PEEK and traditional metallic implants are lacking. In this paper, the authors performed a systematic review of the literature with the aim to describe clinical outcomes in patients with spine tumors who received CF-PEEK implants, focusing on implant-related complications and oncological outcomes. METHODS:A systematic review of the literature published between database inception and May 2022 was performed in accordance with the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The PubMed database was queried using the terms "carbon fiber" and "spine" or "spinal." The inclusion criteria were articles that described patients with CF-PEEK pedicle screw fixation and had a minimum of 5 patients. Case reports and phantom studies were excluded. RESULTS:This review included 11 articles with 326 patients (237 with CF-PEEK-based implants and 89 with titanium-based implants). The mean follow-up period was 13.5 months, and most tumors were metastatic (67.1%). The rates of implant-related complications in the CF-PEEK and titanium groups were 7.8% and 4.7%, respectively. The rate of pedicle screw fracture was 1.7% in the CF-PEEK group and 2.4% in the titanium group. The rates of reoperation were 5.7% (with 60.0% because of implant failure or junctional kyphosis) and 4.8% (all because of implant failure or junctional kyphosis) in the CF-PEEK and titanium groups, respectively. When reported, 72.5% of patients received postoperative RT (41.0% stereotactic body RT, 30.8% fractionated RT, 25.6% proton, 2.6% carbon ion). Four articles suggested that implant artifact was reduced in the CF-PEEK group. Local recurrence occurred in 14.4% of CF-PEEK and 10.7% of titanium-implanted patients. CONCLUSIONS:While CF-PEEK harbors similar implant failure rates to traditional metallic implants with reduced imaging artifact, it remains unclear whether CF-PEEK implants improve oncological outcomes. This study highlights the need for prospective, direct comparative clinical studies.
PMID: 37382293
ISSN: 1547-5646
CID: 5540372
Cervicothoracic junction instrumentation strategies following separation surgery for spinal metastases
OBJECTIVE:The cervicothoracic junction (CTJ) is a challenging region to stabilize after tumor resection for metastatic spine disease. The objective of this study was to describe the outcomes of patients who underwent posterolateral decompression and instrumented fusion (i.e., separation surgery across the CTJ for instability due to metastatic disease). METHODS:The authors performed a single-institution retrospective study of a prospectively collected cohort of patients who underwent single-approach posterior decompression and instrumented fusion across the CTJ for metastatic spine disease between 2011 and 2018. Adult patients (≥ 18 years old) who presented with mechanical instability, myelopathy, and radiculopathy secondary to metastatic epidural spinal cord compression (MESCC) of the CTJ (C7-T1) from 2011 to 2018 were included. RESULTS:Seventy-nine patients were included, with a mean age of 62.1 years. The most common primary malignancies were non-small cell lung (n = 17), renal cell (11), and prostate (8) carcinoma. The median number of levels decompressed and construct length were 3 and 7, respectively. The average operative time, blood loss, and length of stay were 179.2 minutes, 600.5 ml, and 7.7 days, respectively. Overall, 58 patients received adjuvant radiation, and median dose, fractions, and time from surgery were 27 Gy, 3 fractions, and 20 days, respectively. All patients underwent lateral mass and pedicle screw instrumentation. Forty-nine patients had tapered rods (4.0/5.5 mm or 3.5/5.5 mm), 29 had fixed-diameter rods (3.5 mm or 4.0 mm), and 1 had both. Ten patients required anterior reconstruction with poly-methyl-methacrylate. The overall complication rate was 18.8% (6 patients with wound-related complications, 7 with hardware-related complications, 1 with both, and 1 with other). For the 8 patients (10%) with hardware failure, 7 had tapered rods, all 8 had cervical screw pullout, and 1 patient also experienced rod/screw fracture. The average time to hardware failure was 146.8 days. The 2-year cumulative incidence rate of hardware failure was 11.1% (95% CI 3.7%-18.5%). There were 55 deceased patients, and the median (95% CI) overall survival period was 7.97 (5.79-12.60) months. For survivors, the median (range) follow-up was 12.94 (1.94-71.80) months. CONCLUSIONS:Instrumented fusion across the CTJ demonstrated an 18.8% rate of postoperative complications and an 11% overall 2-year rate of hardware failure in patients who underwent metastatic epidural tumor decompression and stabilization.
PMID: 36609370
ISSN: 1547-5646
CID: 5462102
