Excessive resident duty hours (RDH) are a recognized issue with implications for physician well-being and patient safety. A major component of the RDH concern is on-call duty. While considerable work has been done to reduce resident call workload, there is a paucity of research in optimizing resident call scheduling. Call coverage is scheduled manually rather than demand-based, which generally leads to over-scheduling to prevent a service gap. Machine learning (ML) has been widely applied in other industries to prevent such issues of a supply-demand mismatch. However, the healthcare field has been slow to adopt these innovations. As such, the aim of this study was to use ML models to 1) predict demand on orthopaedic surgery residents at a level I trauma centre and 2) identify variables key to demand prediction. Daily surgical handover emails over an eight year (2012-2019) period at a level I trauma centre were collected. The following data was used to calculate demand: spine call coverage, date, and number of operating rooms (ORs), traumas, admissions and consults completed. Various ML models (linear, tree-based and neural networks) were trained to predict the workload, with their results compared to the current scheduling approach. Quality of models was determined by using the area under the receiver operator curve (AUC) and accuracy of the predictions. The top ten most important variables were extracted from the most successful model. During training, the model with the highest AUC and accuracy was the multivariate adaptive regression splines (MARS) model, with an AUC of 0.78±0.03 and accuracy of 71.7%±3.1%. During testing, the model with the highest AUC and accuracy was the neural network model, with an AUC of 0.81 and accuracy of 73.7%. All models were better than the current approach, which had an AUC of 0.50 and accuracy of 50.1%. Key variables used by the neural network model were (descending order): spine call duty, year, weekday/weekend, month, and day of the week. This was the first study attempting to use ML to predict the service demand on orthopaedic surgery residents at a major level I trauma centre. Multiple ML models were shown to be more appropriate and accurate at predicting the demand on surgical residents as compared to the current scheduling approach. Future work should look to incorporate predictive models with optimization strategies to match scheduling with demand in order to improve resident well being and patient care.
The primary objective is to compare revision rates for lumbar disc replacement (LDR) and fusion at the same or adjacent levels in Ontario, Canada. The secondary objectives include acute complications during hospitalization and in 30 days, and length of hospital stay. A population-based cohort study was conducted using health administrative databases including patients undergoing LDR or single level fusion between October 2005 to March 2018. Patients receiving LDR or fusion were identified using physician claims recorded in the Ontario Health Insurance Program database. Additional details of surgical procedure were obtained from the Canadian Institute for Health Information hospital discharge abstract. Primary outcome measured was presence of revision surgery in the lumbar spine defined as operation greater than 30 days from index procedure. Secondary outcomes were immediate/ acute complications within the first 30 days of index operation. A total of 42,024 patients were included. Mean follow up in the LDR and fusion groups were 2943 and 2301 days, respectively. The rates of revision surgery at the same or adjacent levels were 4.7% in the LDR group and 11.1% in the fusion group (P=.003). Multivariate analysis identified risk factors for revision surgery as being female, hypertension, and lower surgeon volume. More patients in the fusion group had dural tears (p<.001), while the LDR group had more “other” complications (p=.037). The LDR group had a longer mean hospital stay (p=.018). In this study population, the LDR group had lower rates of revision compared to the fusion group. Caution is needed in concluding its significance due to lack of clinical variables and possible differences in indications between LDR and posterior decompression and fusion.
Single level discectomy (SLD) is one of the most commonly performed spinal surgery procedures. Two key drivers of their cost-of-care are duration of surgery (DOS) and postoperative length of stay (LOS). Therefore, the ability to preoperatively predict SLD DOS and LOS has substantial implications for both hospital and healthcare system finances, scheduling and resource allocation. As such, the goal of this study was to predict DOS and LOS for SLD using machine learning models (MLMs) constructed on preoperative factors using a large North American database. The American College of Surgeons (ACS) National Surgical and Quality Improvement (NSQIP) database was queried for SLD procedures from 2014-2019. The dataset was split in a 60/20/20 ratio of training/validation/testing based on year. Various MLMs (traditional regression models, tree-based models, and multilayer perceptron neural networks) were used and evaluated according to 1) mean squared error (MSE), 2) buffer accuracy (the number of times the predicted target was within a predesignated buffer), and 3) classification accuracy (the number of times the correct class was predicted by the models). To ensure real world applicability, the results of the models were compared to a mean regressor model. A total of 11,525 patients were included in this study. During validation, the neural network model (NNM) had the best MSEs for DOS (0.99) and LOS (0.67). During testing, the NNM had the best MSEs for DOS (0.89) and LOS (0.65). The NNM yielded the best 30-minute buffer accuracy for DOS (70.9%) and ≤120 min, >120 min classification accuracy (86.8%). The NNM had the best 1-day buffer accuracy for LOS (84.5%) and ≤2 days, >2 days classification accuracy (94.6%). All models were more accurate than the mean regressors for both DOS and LOS predictions. We successfully demonstrated that MLMs can be used to accurately predict the DOS and LOS of SLD based on preoperative factors. This big-data application has significant practical implications with respect to surgical scheduling and inpatient bedflow, as well as major implications for both private and publicly funded healthcare systems. Incorporating this artificial intelligence technique in real-time hospital operations would be enhanced by including institution-specific operational factors such as surgical team and operating room workflow.
Prolonged length of stay (LOS) is a significant contributor to the variation in surgical health care costs and resource utilization after elective spine surgery. The primary goal of this study was to identify patient, surgical and institutional variables that influence LOS. The secondary objective is to examine variability in institutional practices among participating centers. This is a retrospective study of a prospectively multicentric followed cohort of patients enrolled in the CSORN between January 2015 and October 2020. A logistic regression model and bootstrapping method was used. A survey was sent to participating centers to assessed institutional level interventions in place to decrease LOS. Centers with LOS shorter than the median were compared to centers with LOS longer than the median. A total of 3734 patients were included (979 discectomies, 1102 laminectomies, 1653 fusions). The median LOS for discectomy, laminectomy and fusion were respectively 0.0 day (IQR 1.0), 1.0 day (IQR 2.0) and 4.0 days (IQR 2.0). Laminectomy group had the largest variability (SD=4.4, Range 0-133 days). For discectomy, predictors of LOS longer than 0 days were having less leg pain, higher ODI, symptoms duration over 2 years, open procedure, and AE (p< 0.05). Predictors of longer LOS than median of 1 day for laminectomy were increasing age, living alone, higher ODI, open procedures, longer operative time, and AEs (p< 0.05). For posterior instrumented fusion, predictors of longer LOS than median of 4 days were older age, living alone, more comorbidities, less back pain, higher ODI, using narcotics, longer operative time, open procedures, and AEs (p< 0.05). Ten centers (53%) had either ERAS or a standardized protocol aimed at reducing LOS. In this study stratifying individual patient and institutional level factors across Canada, several independent predictors were identified to enhance the understanding of LOS variability in common elective lumbar spine surgery. The current study provides an updated detailed analysis of the ongoing Canadian efforts in the implementation of multimodal ERAS care pathways. Future studies should explore multivariate analysis in institutional factors and the influence of preoperative patient education on LOS.
Spinal stenosis is a condition resulting in the compression of the neural elements due to narrowing of the spinal canal. Anatomical factors including enlargement of the facet joints, thickening of the ligaments, and bulging or collapse of the intervertebral discs contribute to the compression. Decompression surgery alleviates spinal stenosis through a laminectomy involving the resection of bone and ligament. Spinal decompression surgery requires appropriate planning and variable strategies depending on the specific situation. Given the potential for neural complications, there exist significant barriers to residents and fellows obtaining adequate experience performing spinal decompression in the operating room. Virtual teaching tools exist for learning instrumentation which can enhance the quality of orthopaedic training, building competency and procedural understanding. However, virtual simulation tools are lacking for decompression surgery. The aim of this work was to develop an open-source 3D virtual simulator as a teaching tool to improve orthopaedic training in spinal decompression. A custom step-wise spinal decompression simulator workflow was built using 3D Slicer, an open-source software development platform for medical image visualization and processing. The procedural steps include multimodal patient-specific loading and fusion of Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) data, bone threshold-based segmentation, soft tissue segmentation, surgical planning, and a laminectomy and spinal decompression simulation. Fusion of CT and MRI elements was achieved using Fiducial-Based Registration which aligned the scans based on manually placed points allowing for the identification of the relative position of soft and hard tissues. Soft tissue segmentation of the spinal cord, the cerebrospinal fluid, the cauda equina, and the ligamentum flavum was performed using Simple Region Growing Segmentation (with manual adjustment allowed) involving the selection of structures on T1 and/or T2-weighted scans. A high-fidelity 3D model of the bony and soft tissue anatomy was generated with the resulting surgical exposure defined by labeled vertebrae simulating the central surgical incision. Bone and soft tissue resecting tools were developed by customizing manual 3D segmentation tools. Simulating a laminectomy was enabled through bone and ligamentum flavum resection at the site of compression. Elimination of the stenosis enabled decompression of the neural elements simulated by interpolation of the undeformed anatomy above and below the site of compression using Fill Between Slices to reestablish pre-compression neural tissue anatomy. The completed workflow allows patient specific simulation of decompression procedures by staff surgeons, fellows and residents. Qualitatively, good visualization was achieved of merged soft tissue and bony anatomy. Procedural accuracy, the design of resecting tools, and modeling of the impact of bone and ligament removal was found to adequately encompass important challenges in decompression surgery. This software development project has resulted in a well-characterized freely accessible tool for simulating spinal decompression surgery. Future work will integrate and evaluate the simulator within existing orthopaedic resident competency-based curriculum and fellowship training instruction. Best practices for effectively teaching decompression in tight areas of spinal stenosis using virtual simulation will also be investigated in future work.
To evaluate the effect of wait time to surgery on patient derived generic and disease-specific functional outcome following lumbar surgery. Study cohort of seventy patients undergoing elective posterior lumbar spinal surgery for degenerative conditions. Prospectively collected SF-36 and Oswestry Disability questionnaires administered preoperatively, six weeks, six months, one year postoperatively. Time intervals from onset of symptoms to initial consultation by family physician through investigations, spinal surgical consultation and time spent on the surgical waiting list to surgery quantified. Time intervals compared to patient-specific improvements in reported outcome following surgery using Cox-Regression analysis. The effect of patient and surgical parameters on wait time was evaluated using median time as a reference for patients with either a longer or shorter wait. Patient follow-up completed in fifty-three (76%). Improvements in patient derived outcome were observed comparing post-operative to pre-operative baseline scores (p<
0.05). The greatest improvements were observed in aspects relating to physical function and pain. A longer wait to surgery was associated with less improvement in surgical outcome (p<
0.05, SF-36 domains BP, GH, RP, VT, and Physical Component Scores). The greatest impact observed was a prolonged surgical wait-list time on SF-36 PCS scores following surgery (Hazard’s ratio 3.53). Patients requiring spinal fusion had a longer wait when compared to those not requiring fusion (p<
0.05). A longer wait time to spinal surgery can negatively influence surgical results as quantified by patient derived functional outcome measures. Surgery resulted in the greatest improvement in pain severity and physical aspects of function, however, these areas also appeared the most impacted by a longer wait to surgery.
The system was utilized as well in all cases for choosing the nail point of entry, in 7 (25%) for blocking screws planning and in 4 (16%) for nail locking successfully.
A predictive model for final kyphosis was tested by evaluating the radiographs of forty-three patients with traumatic burst fractures. Since clinical outcomes are related to final kyphosis in the ambulatory patient rather than on the initial supine injury radiograph, the ability to predict final kyphosis is beneficial in determining treatment. This study demonstrated that in the appropriately selected patient for conservative care, the limit of final-kyphosis(Kf) can be predicted from the intial-kyphosis(KI) , such that Kf= <
KI+.5KI . Outliers from this equation were patients who had unrecognized posterior column fractures, superior and inferior end-plate fractures, and/or multiple level of injury. The purpose of this study was to define a prediction model that afforded clinicians the ability to define final kyphosis from initial supine films in order to guide the management of stable burst fractures. This study has demonstrated that as a rule of thumb, the final absolute kyphosis for stable burst fractures can be expected to be up to Ki (initial absolute kyphosis) + 1.5Ki. Outliers were found to be fractures with unrecognized posterior element injury, both superior and inferior endplate fractures and multiple level injuries. The final kyphosis is clinically more relevant than the initial kyphosis in terms of functional outcome after conservative management. A prediction model for final kyphosis based on initial injury films can help guide the clinician for optimal management. Retrospective radiographic analysis was performed on forty-three patients with a minimum follow up six months. All patients suffered traumatic burst fractures, which were deemed stable as to be satisfactorily managed in a brace. Serial radiographs were used to determine initial (Ki) and final (Kf), Kyphosis angles. Predicted Kf was determined using the equation Kf =Ki + 1.5 Ki. The initial absolute kyphosis was the measured kyphosis using the Cobb technique and including the loss of the expected normal lordosis of that spinal segment. Inclusion criteria included burst fractures at between levels T10 – L3 in the neurologically intact patient. The equation accurately predicted the final outcome , Kf, in 70 % of the cases. In 20% of the cases, the Kf was less than expected. (Acceptable clinical result). In 10% of the cases, Kf was greater than predicted or achieved a clinically unacceptable kyphotic angulation requiring secondary surgery. In this group of outliers, post-hoc analysis identified unrecognized posterior element injury, both superior and inferior endplate fractures and multiple level injuries. In traumatic burst fractures, the goal of management is to protect the spine during healing while maintaining an acceptable alignment, which will not lead to late pain and deformity. A final absolute kyphosis angle, Kf, from twenty to thirty degrees has been variably regarded as a threshold to obtain a good clinical outcome. Criteria for stability have been previously documented, however variables are based on initial presentation. Aside from careful classification of the fracture type, the current “rule of thumb” prediction model for Kf may further help the clinician with management decisions.
The impact of cement leakage during percutaneous vertebroplasty has not been well characterized. This study aimed to quantify and compare cement leakage and its clinical significance in osteoporotic and metastatic vertebrae treated with vertebroplasty. Cement leakage was quantified using semi-automated thresholding of digital CT scans for fouteen metastatic and nineteen osteoporotic vertebrae and compared to pain scores. Cement leakage was present in 90.9% of vertebrae. Cement leaked predominantly into the disc in the osteoporotic vertebrae but yielded more diffuse leakage patterns in the metastatic cases. Despite cement leakage, there was significant improvement in pain immediately following vertebroplasty for all patients. This study aimed to quantify cement leakage in osteoporotic and metastatic vertebrae post-vertebroplasty and to determine whether leakage has clinical significance at follow-up. Despite high incidences of cement leakage, both osteoporotic and metastatic patients experienced significant immediate pain relief post-vertebroplasty. Cement leakage is investigated as a possible rationale for the higher rates of pain relief seen in osteoporotic vs metastatic patients undergoing percutaneous vertebroplasty. Cement leakage was present in 90.9% of the vertebrae treated. The percent volume of cement leakage was 11.6±10.6 in the osteoporotic vertebrae and 19.4±19.1 in the metastatic vertebrae (p=0.144). Cement leaked predominantly into the disc in the osteoporotic vertebrae whereas leakage was more diffuse in the metastatic vertebrae. Pain scores were high prior to vertebroplasty and decreased significantly following the procedure in both groups irrespective of leakage (p<
0.05). Digital CT scans were retrieved for osteoporotic (n=19) and metastatic (n=14) patients treated with percutaneous vertebroplasty. Volume of cement injected directly into the vertebral body and location of cement leakage (pedicle, disc, periphery, canal) was quantified using semi-automated thresholding techniques. Pain scores were collected at four stages of treatment (pre, immediately post, one day post, one week post-vertebroplasty). Disruption of the endplate in the osteoporotic spine provides an easily accessible pathway for the leakage of cement into the disc. Elevated pressurization during cement injection into metastatically involved vertebrae may account for the more diffuse cement leakage seen in the metastatic group. Clinically, pain scores improved irrespective of leakage.
Photodynamic therapy is a promising cancer treatment that employs wavelength-specific light in combination with a photosensitizing agent to induce local tumor destruction by photochemical generation of cytotoxic singlet oxygen. Clinical PDT has been evaluated for a variety of primary tumors, however, its use in spinal metastases to our knowledge has not been previously evaluated. A practical consideration is the ability to deliver light to bone. The investigators are evaluating a novel method of applying light to targeted spinal lesions using a minimally invasive technique similar to percutaneous vertebroplasty. This preliminary preclinical study evaluates the feasibility and efficacy of spinal PDT. To evaluate the feasibility and efficacy of spinal meta-static photodynamic therapy (PDT) using a percutaneous minimally invasive surgical approach similar to that of vertebroplasty in a preclinical model of bone metastases. A bioluminescent metastatic model was developed (intracardiac injection 2x106 MT-1Luc human breast cancer cells; Spinal PDT caused a reduction in bioluminescence of targeted lesions (66% to 87% in three hour drug-light group using light fluence rates of 25J and 150J, respectively; p<
0.05). The most selective drug-light interval was twenty-four hours where PDT induced tumor cell apoptosis/necrosis occurred, however, no spinal cord injury was observed. The greatest anti-tumor effect was observed at the three hour drug-light interval but observations of neurologic sequalae (9/22 animals) highlight the importance of ongoing study to closely define the therapeutic window of PDT. Drug dosimetry and the drug-light interval are critical in establishing an efficacious and safe treatment range for spinal PDT. Bioluminescent reporter imaging provides an
Vertebroplasty (VP) is currently used to improve spinal stability in patients with vertebral metastases. This study assessed the effects of Laser Induced Thermo Therapy (LITT), a minimally invasive technique used to ablate tumor tissue prior to vertebroplasty. Load-induced canal narrowing (LICN) was measured pre and post-vertebroplasty in twelve paired spinal motion segments with simulated lytic metastases. LICN improved post-vertebroplasty for all specimens treated with LITT. In all specimens, cement location was an important factor in post-vertebroplasty stability. Reduction of the tumor volume pre-vertebroplasty resulted in more reliable defect filling. To investigate the effect of tumor ablation using Laser Induced Thermo Therapy (LITT) prior to vertebroplasty (VP) on cement distribution and vertebral stability. Tumor volume reduction using LITT prior to cement injection improves defect filling and consistently reduces Load Induced Canal Narrowing (LICN). A simple, minimally invasive procedure providing accurate tissue destruction pre-vertebroplasty may result in more reliable cement fill, reduce cement extravasation and improve post-vertebroplasty stability. Following verebroplasty, LICN improved in all specimens treated with LITT and in those VP alone specimens with cement located posterior to the tumor tissue (33%). LITT treated vertebrae exhibited a trend toward reduced posterior wall motion post-vertebroplasty (LICN=29.7±27.1%) versus specimens treated with VP alone (LICN=248.7±253%). In the LITT+VP group, cement was fully contained within the vertebral body while cement extravasation into the canal was noted in 33% of the specimens treated without LITT. Twelve paired cadaveric thoracolumbar spinal motion segments with simulated lytic metastases were randomized for treatment with VP alone or LITT+VP. In the LITT+VP group, a laser fibre inserted through a transpedicular approach was used to ablate the tumor tissue prior to cement injection. The specimens were axially loaded to 800N pre and post-treatment. LICN was used as a measure of vertebral stability. Cement location was assessed post-testing through axial sectioning. Location of cement is an important factor in determining post-VP stability. Vertebroplasty is effective in decreasing LICN if the tumor is ablated or surrounded posteriorly with cement.
In percutaneous vertebroplasty, clinically significant complications occur predominantly in patients with spinal metastases. This higher rate of complication may be associated with increased pressurization that has been reported due to the presence of lytic tissue during vertebroplasty. To date, there has been no research investigating techniques aimed at reducing this pressurization. This study investigated the potential of tumour volume reduction using laser induced thermo therapy ablation within the metastatic spine. This novel technique proved to be capable of efficient tissue shrinkage (average 60%) with little or no pressurization (average 1.3mmHg) and moderate levels of temperature elevation (average increase of 15.1°C). This study aims to investigate the potential of minimally invasive tumour volume reduction using laser induced thermo therapy ablation within the metastatic spine. Volume reduction of tumour tissue prior to cement injection may provide a method to reduce pressurization, reduce the likelihood of tumour extravasation and improve cement fill during percutaneous vertebroplasty. In percutaneous vertebroplasty, clinically significant complications occur predominantly in patients with spinal metastases (10%). Laser-induced thermo therapy condensed and coagulated the simulated tumour. Volume shrinkage of the tumour tissue averaged 60%. Pressures generated within the vertebral body only rose an average of 1.3mmHg during the procedure. Maximum temperatures on the posterior body wall increased by 15.1°C, with average temperatures 6.8°C above the baseline. A simulated lytic defect created using breast tissue was introduced into the vertebral body of a calf spine to model a metastatically involved vertebra. A pre-charred surgical fibre coupled to a diode laser delivering 1750J of energy was inserted through an eleven-guage needle into the centre of the tumour using an intrapedicular technique. During treatment, the temperature at the posterior body wall and intravertebral pressure were measured. Following ablation, the volume of the remaining tissue was measured. The results suggest that this novel technique is capable of reproducible, uniform, and effective tissue destruction with little to no pressurization and moderate levels of temperature elevation. Both pressures and temperatures generated during our study were lower than reported values during percutaneous vertebroplasty and suggest little risk of complications.
There is increasing knowledge regarding the functional outcome of patients following posterior lumbar spinal surgery for degenerative conditions of the spine. There is less known regarding the expectations patients have for spinal surgery and how that may relate to commonly reported surgical outcome measures. It was the purpose of this study to evaluate the results of elective lumbar spinal surgery as it relates to patient expectations for outcome. and outcome as quantified by both physician reported outcome and patient derived generic and disease-specific measures. Patient expectations for surgery were evaluated in one hundred and fifty-five consecutive patients undergoing posterior lumbar surgery for degenerative conditions (single institution, two surgeons). SF-36+Oswestry disability was quantified preoperatively, and serially postoperatively. Preoperative expectations (pain relief, sleep, recreational, ADL, work return) were documented and postoperative expectations quantified at time of anticipated maximal medical improvement (6mos decompressions,1yr with fusions). Mean preoperative SF-36 MCS and PCS scores were 3.4 and 1.2 S.D. below age/gender matched Canadian norms. Although patients reported improvements in SF-36+Oswestry scores following surgery, mean SF-36 MCS and PCS scores were still 2 and 1.5 S.D. below norms. Mean Oswestry disability improved from 48.7%±1.7% to 23.1±1.9%. Expectations for surgery were met in 81%(responders:143/155). Of 19%(27/143) where expectations were not met, 6/27 have either nonunion, technical, or medical factors. There was no difference in mean age, gender, comorbidity, procedure type and follow-up comparing patients where expectations were met to those that were not. Patients where expectations were not met reported lower preoperative SF-36 (GH and VT) domain scores (p=0.02 and 0.04, respectively), however, preoperative Oswestry, SF-36 MCS and PCS scores were not significantly different. Patients were less satisfied if they had prior lumbar surgery (p=0.02) or involved in WCB/litigation (p<
0.001). We note 15%(21/143) where expectations were not met and there were no apparent surgical or medical confounds to account. There are likely other factors that may influence patient perception and expectation for treatment which requires further study.
Corrective osteotomies were one of: 1) wedge osteotomy convex based; 2) wedge osteotomy dorsally based; 3) complex wedge or eggshell osteotomy for combined frontal and sagittal plane deformity. Patient’s demographics, type of deformity, underlying conditions, operative results, complications, and need for secondary procedures were documented.
The management of spinal metastases is palliative and aimed at improving quality of life at an acceptable risk. This population study uses administrative databases and measures survivorship and complication rates after surgery for spinal metastases. The effects of various potential predictor variables were evaluated. We identified 987 patients with a median survival for all types of cancer of 227 days. The one and three-month mortality was 9% and 29%, respectively. Increasing age, male gender and primary lung cancer were significant risk factors for death within 30 days of surgery. A preoperative neurological deficit contributed a 19% increase in mortality and a 71% increase in the risk of postoperative wound infection. We found an overall major complication rate of 27%. This information will provide patients, families and clinicians with objective data which will help in the choice of treatment and the understanding of the surgical risk and outcome.
INTRODUCTION: Flexion distraction injuries (FDI) of the thoracic and lumbar spine can be stabilised with a short construct spanning one motion-segment. This fracture is functionally defined by failure of the posterior and middle columns in tension and the anterior column in compression or tension. Treatment of a predominantly bony injury with minimal deformity (Chance type) is usually non-operative. Intra-abdominal pathology, and ligamentous spinal instability are relative indications for surgery. Deformity of greater than 17 degrees of kyphosis has a poor prognosis when treated conservatively, and represents true instability in vitro. Surgical treatment is mainly through a posterior approach with instrumentation. Which construct to use and the number of motion segments to include is controversial. Multi-level instrumentation techniques both in distraction and compression have been used as well as shorter constructs, particularly in the lumbar spine. We addressed the efficacy of single motion-segment fixation by evaluating the radiographic and functional results of this treatment technique. METHODS: All patients diagnosed with a FDI were prospectively identified over a 48 months period. Non-operatively treated fractures were excluded. Other spine fractures were excluded. Demographics, co-morbidity, neurological status, operative details and complications were recorded. Radiographic reviewers were blinded to the functional outcome of the patient and the time of follow-up. The Oswestry Functional Assessment Questionnaire was administered by mail. RESULTS: Twenty-one eligible patients were identified. A significant (p<
0.0001) correction of deformity was achieved, from a mean pre-operative kyphosis of 10.1 degrees to a mean post-operative lordosis of 0.9 degrees. No loss of correction occurred. The mean Oswestry score was 11.5, with 88% of patients having minimal disability. One patient died from unrelated morbidity. CONCLUSIONS: Hoshikawa et al showed in vitro how compression forces alone can create FDI. Compression without flexion causes burst fractures. With moderate flexion there is FDI with anterior body compression. With increasing flexion FDI becomes entirely distractive. As the forces are concentrated at a single point, reconstruction only requires that this location be addressed. As all FDI are created by the same mechanism, regardless of structures injured only short segment fixation is required. We have demonstrated in FDI, single level fixation is biomechanically sound. Multilevel instrumentation creates loss of adjacent level motion segments. This is not necessary. The absence of a control group precludes absolute conclusions. Nonetheless most patients reported minimal disability related to their back and had excellent radiological outcomes. This study demonstrates that posterior reduction and stabilisation of a single motion-segment for FDI can adequately stabilise the spine and lead to excellent functional outcomes.
A province-wide study designed to use administrative data to determine the rate of post-operative complications, the survival duration and predictors of outcome among patients undergoing surgery for metastatic disease of the spine. Surgery for patients with spinal metastasis is primarily palliative. It is often fraught with complications, which may in fact diminish quality of life. Quantification of survival rates and the risk of potential complications following surgery is important to the clinician and the patient’s families for decision making. All patients that underwent surgery for spinal metastasis between 1991 and 1998 were identified using the Ontario health insurance database and a hospital discharge registry. The mean age at surgery was 60. 3 years (range: 13–92 years). The mortality files identified patients who were dead by October 1999. Information about individual inpatient admissions including post-operative complications was then collected. The survival rates and complications following surgery were quantified and the effect of several variables on these two parameters was computed. The median and mean survival was 227 days and 793. 4 days respectively. The 30-day and 3-month mortality were 9% and 29% respectively. Advanced age at surgery, male sex, presence of a pre-operative neurological deficit and primary cancers of lung, gastrointestinal tract &
melanoma are predictive of poor survival. 39% patients had complications. Pre-operative neurological deficit was associated with a 71% higher risk of developing post-op. wound infection. In the past, surgery has been recommended in patients with an anticipated survival of at least three to six months. The current study shows that even patients preselected on the basis of predictions of longer survival, there is a potential for early mortality and significant complications. Hence, a careful estimation of the benefits of surgery versus surgery related morbidity must be made prior to offering surgery for palliation.