Improved capture of adverse events after spinal surgery procedures with a longitudinal administrative database

Prediction Tools in Spine Surgery: A Narrative Review

There have been increasing reports on prediction models in spine surgery. Interest in prognostic tools or risk calculators can facilitate shared decision-making about treatment between patients and clinicians. In recent years, there has been a steady increase in the number of models developed using varying methods. External validation is an essential component of prediction model testing to ensure the appropriate use of these models in populations outside of the developing center. This narrative review aimed to provide an overview of the literature describing the development and validation of prediction models in the field of spine surgery.

Nationwide Analysis of Risk Factors Related to Opioid Weaning Following Lumbar Decompression Surgery - A Retrospective Database Study

BACKGROUND

Opioids are often prescribed for patients who eventually undergo lumbar decompression. Given the potential for opioid-related morbidity and mortality, postoperative weaning is often a goal of surgery. The purpose of this study was to examine the relationship between preoperative opioid use and postoperative complete opioid weaning among lumbar decompression patients.

METHODS

We surveyed the IBM Marketscan Databases for patients who underwent lumbar decompression during 2008-2017, had >30 days of opioid use in the year preceding surgery, and consumed a daily average of >0 morphine milligram equivalents in the 3 months preceding surgery. We used multivariable logistic regression and marginal standardization to examine the association between preoperative opioid use duration, average daily dose, and their interactions with complete opioid weaning in the 10-12 months after surgery.

RESULTS

Of the 11,114 patients who met inclusion criteria, most (54.7%, n = 6083) had a preoperative average daily dose of 1-20 morphine milligram equivalents. Postoperatively, 6144 patients (55.3%) remained on opioids. For patients with >180 days of preoperative use, the adjusted probability of weaning increased as the preoperative dose decreased. Obesity increased the likelihood of weaning, whereas older age, several comorbidities, female sex, and Medicaid decreased the odds of weaning.

CONCLUSIONS

Patients who used opioids for longer preoperatively were less likely to completely wean following surgery. Among patients with >180 days of preoperative use, those with lower preoperative doses were more likely to wean. Weaning was also associated with several clinical and demographic factors. These findings may help shape expectations regarding opioid use following lumbar decompression.

Healthcare resource utilization for chronic low back pain among high-utilizers

BACKGROUND

Chronic low back pain is a leading cause of morbidity and is among the largest cost drivers for the healthcare system. Research on healthcare resource utilization of patients with low back pain who are not surgical candidates is limited, and few studies follow individuals who generate high healthcare costs over time.

PURPOSE

This claims study aimed to identify patients with high-impact mechanical, chronic low back pain (CLBP), quantify their low back pain-related health resource utilization, and explore associated patient characteristics. We hypothesize that patients in the top quartile of healthcare resource utilization in the second year after initial diagnosis will continue to generate considerable back pain-related costs in subsequent years.

STUDY DESIGN/SETTING

IBM MarketScan Research Databases from 2009-2019 were retrospectively analyzed.

PATIENT SAMPLE

Adults in the United States with an initial diagnosis of low back pain between 2010 and 2014 who did not have cancer, spine surgery, recent pregnancy, or inflammatory spine conditions, were identified using the International Classification of Diseases (ICD) and Current Procedural Terminology (CPT) codes. To ensure patients had chronic low back pain, it was required that individuals had additional claims with a low back pain diagnosis 6 to 12 and 12 to 24 months after initial diagnosis.

OUTCOME MEASURES

Cost and utilization of inpatient visits, outpatient visits, emergency room visits, pharmacologic and nonpharmacologic treatment options and imaging for chronic low back pain.

METHODS

Annual back pain-related costs and the use of pharmacologic and nonpharmacologic treatments for 5 years were analyzed. Logistic regression was utilized to identify factors associated with persistent high spending.

RESULTS

Of 16,917 individuals who met the criteria for chronic low back pain, 4,229 met the criteria for having high healthcare utilization, defined as being in the top quartile of back pain-related costs in the 12 to 24 months after their initial diagnosis. The mean and median back pain-related cost in the first year after an initial diagnosis was $7,112 (SD $9,670) and $4,405 (Q1 $2,147, Q3 $8,461). Mean and median back pain related costs in the second year were $11,989 (SD $20,316) and $5,935 (Q1 $3,892, Q3 $10,678). Costs continued to be incurred in years 3 to 5 at a reduced rate. The cumulative mean cost for back pain over the 5 years following the initial diagnosis was $31,459 (SD $39,545). The majority of costs were from outpatient services. Almost a quarter of the high utilizers remained in the top quartile of back pain-related costs during years 3 to 5 after the initial diagnosis, and another 19% remained in the top quartile for 2 of the 3 subsequent years. For these two groups combined (42%), the 5-year cumulative mean cost for back pain was $43,818 (SD $48,270). Patient characteristics associated with a higher likelihood of remaining as high utilizers were diabetes, having a greater number of outpatient visits and pharmacologic prescriptions, and lower utilization of imaging services.

CONCLUSION

This is one of the first studies to use an administrative claims database to identify high healthcare resource utilizers among a population of United States individuals with nonsurgical, chronic low back pain and follow their utilization over time. There was a population of individuals who continued to experience high costs 5 years beyond their initial diagnosis, and the majority of individuals continued to seek outpatient services. Further longitudinal claims research that incorporates symptom severity is needed to understand the economic implications of this condition.

External validation of a predictive model of adverse events following spine surgery

BACKGROUND CONTEXT

We lack models that reliably predict 30-day postoperative adverse events (AEs) following spine surgery.

PURPOSE

We externally validated a previously developed predictive model for common 30-day adverse events (AEs) after spine surgery.

STUDY DESIGN/SETTING

This prospective cohort study utilizes inpatient and outpatient data from a tertiary academic medical center.

PATIENT SAMPLE

We assessed a prospective cohort of all 276 adult patients undergoing spine surgery in the Department of Neurosurgery at a tertiary academic institution between April 1, 2018 and October 31, 2018. No exclusion criteria were applied.

OUTCOME MEASURES

Incidence of observed AEs was compared with predicted incidence of AEs. Fifteen assessed AEs included: pulmonary complications, congestive heart failure, neurological complications, pneumonia, cardiac dysrhythmia, renal failure, myocardial infarction, wound infection, pulmonary embolus, deep venous thrombosis, wound hematoma, other wound complication, urinary tract infection, delirium, and other infection.

METHODS

Our group previously developed the Risk Assessment Tool for Adverse Events after Spine Surgery (RAT-Spine), a predictive model of AEs within 30 days following spine surgery using a cohort of approximately one million patients from combined Medicare and MarketScan databases. We applied RAT-Spine to the single academic institution prospective cohort by entering each patient's preoperative medical and demographic characteristics and surgical type. The model generated a patient-specific overall risk score ranging from 0 to 1 representing the probability of occurrence of any AE. The predicted risks are presented as absolute percent risk and divided into low (<17%), medium (17%-28%), and high (>28%).

RESULTS

Among the 276 patients followed prospectively, 76 experienced at least one 30-day postoperative AE. Slightly more than half of the cohort were women (53.3%). The median age was slightly lower in the non-AE cohort (63 vs. 66.5 years old). Patients with Medicaid comprised 2.5% of the non-AE cohort and 6.6% of the AE cohort. Spinal fusion was performed in 59.1% of cases, which was comparable across cohorts. There was good agreement between the predicted AE and observed AE rates, Area Under the Curve (AUC) 0.64 (95% CI 0.56-0.710). The incidence of observed AEs in the prospective cohort was 17.8% among the low-risk group, 23.0% in the medium-risk group, and 38.4% in the high risk group (p =.003).

CONCLUSIONS

We externally validated a model for postoperative AEs following spine surgery (RAT-Spine). The results are presented as low-, moderate-, and high-risk designations.

Using administrative data to determine rates of surgical site infections following spinal fusion and laminectomy procedures

OBJECTIVE

Surgical site infections (SSIs) are a serious and costly post-op complication. Generating SSI rates often requires labor-intensive methods, but increasing numbers of publications reported SSI rates using administrative data.

METHODS

Index laminectomy and spinal fusion procedures were identified using Canadian Classification of Health Interventions (CCI) procedure codes for inpatients and outpatients in the province of Alberta, Canada between 2008 and 2015. SSIs occurring in the year postsurgery were identified using the International Classification of Diseases, 10th Revision, Canada (ICD-10-CA) diagnosis and CCI procedure codes indicative of post-op infection. Rates of SSIs and case characteristics were reported.

RESULTS

Over the 8-year study period, 21,222 index spinal procedures were identified of which 12,027 (56.7%) were laminectomy procedures, with 322 SSIs identified, an SSI rate of 2.7 per 100 procedures. Of the 9,195 (43.3%) fusion procedures, 298 were identified as an SSI, an SSI rate of 3.2 per 100 procedures. This study found SSI rates increased from 2008 and 2015, and rates were the highest in the 0-18 year age group.

CONCLUSIONS

The rates reported in this study were similar to published SSI rates using traditional surveillance methods, suggesting administrative data may be a viable method for reporting SSI rates following spinal procedures. Further work is needed to validate SSIs identified using administrative data by comparing to traditional surveillance.

Policies Restricting Overlapping Surgeries Negatively Impact Access to Care, Clinical Efficiency and Hospital Revenue: A Forecasting Model for Surgical Scheduling

OBJECTIVE

To model the financial impact of policies governing the scheduling of overlapping surgeries, and to identify optimal solutions that maximize operating efficiency that satisfy the fiduciary duty to patients.

BACKGROUND

Hospitals depend on procedural revenue to maintain financial health as the recent pandemic has revealed. Proposed policies governing the scheduling of overlapping surgeries may dramatically impact hospital revenue. To date, the potential financial impact has not been modeled.

METHODS

A linear forecasting model based on a logic matrix decision tree enabled an analysis of surgeon productivity annualized over a fiscal year. The model applies procedural and operational variables to policy constraints limiting surgical scheduling. Model outputs included case and financial metrics modeled over 1000-surgeon-year simulations. Case metrics included annual case volume, case mix, operating room (OR) utilization, surgeon utilization, idle time and staff overtime hours. Financial outputs included annual revenue, expenses and contribution margin.

RESULTS

The model was validated against surgical data. Case and financial metrics decreased as a function of increasingly restrictive scheduling scenarios, with the greatest contribution margin loses ($1,650,000 per surgeon-year) realized with the introduction of policies mandating that a second patient could not enter the OR until the critical portion of the first surgery was completed. We identify an optimal scheduling scenario that maximizes surgeon efficiency, minimizes OR idle time and revenue loses, and satisfies ethical obligations to patients.

CONCLUSIONS

Hospitals may expect significant financial loses with the introduction of policies restricting OR scheduling. We identify an optimal solution that maximizes efficiency while satisfying ethical duty to patients. This forecast is immediately relevant to any hospital system that depends upon procedural revenue.

Health Care Resource Utilization and Management of Chronic, Refractory Low Back Pain in the United States

STUDY DESIGN:

Retrospective analysis of inpatient and outpatient medical insurance claims data from a database containing over 100 million individuals.

OBJECTIVE:

To quantify the healthcare resource utilization (HCRU) of non-surgical treatments in the first 2 years after a chronic, refractory low back pain (CRLBP) diagnosis.

SUMMARY OF BACKGROUND DATA:

Patients with persistent low back pain (LBP) despite conventional medical management and who are not candidates for spine surgery are considered to have chronic, refractory low back pain (CRLBP) and incur substantial healthcare costs over time. Few data exist on the HCRU of this specific population.

METHODS:

The IBM MarketScan Research databases from 2009 to 2016 were retrospectively analyzed to identify US adults with a diagnosis of non-specific LBP and without cancer, spine surgery, failed back surgery syndrome, or recent pregnancy. We required >30 days of utilization of pain medications or non-pharmacologic therapies within both the 3–12- and 12–24-month periods post-diagnosis. Annual total healthcare costs, costs subdivided by insurance type, and use of non-surgical therapies were determined for 2 years after diagnosis of LBP.

RESULTS:

55,945 patients with CRLBP were identified. Median total cost was $6,590 (Q1 $2,710, Q3 $13,922) in the first year, almost doubling the baseline cost; costs were highest for patients with Medicare Supplemental insurance, reaching $10,156 (Q1 $5,481, Q3 $18,570). 33,664 (60.2%) patients engaged physical therapy, 28,016 (50.1%) engaged chiropractors, and 14,488 (25.9%) had steroid injections. 36,729 (65.7%) patients used prescription pain medications, most commonly opioids (N=31,628, 56.5%) and muscle relaxants (N=21,267, 38.0%).

CONCLUSION:

This study is one of the first to investigate the HCRU of a large, longitudinal US cohort of patients with CRLBP. These patients experience substantial healthcare costs. Contrary to LBP management guidelines, most patients used opioids, and several non-pharmacologic therapies were used by only a few patients.

Characterization of biomaterials intended for use in the nucleus pulposus of degenerated intervertebral discs

Biomaterials for regeneration of the intervertebral disc must meet complex requirements conforming to biological, mechanical and clinical demands. Currently no consensus on their characterization exists. It is crucial to identify parameters and their method of characterization for accurate assessment of their potential efficacy, keeping in mind the translation towards clinical application. This review systematically analyses the characterization techniques of biomaterial systems that have been used for nucleus pulposus (NP) restoration and regeneration. Substantial differences in the approach towards assessment became evident, hindering comparisons between different materials with respect to their suitability for NP restoration and regeneration. We have analysed the current approaches and identified parameters necessary for adequate biomaterial characterization, with the clinical goal of functional restoration and biological regeneration of the NP in mind. Further, we provide guidelines and goals for their measurement. STATEMENT OF SIGNIFICANCE: Biomaterials intended for restoration of regeneration of the nucleus pulposus within the intervertebral disc must meet biological, biomechanical and clinical demands. Many materials have been investigated, but a lack of consensus on which parameters to evaluate leads to difficulties in comparing materials as well as mostly partial characterization of the materials in question. A gap between current methodology and clinically relevant and meaningful characterization is prevalent. In this article, we identify necessary methods and their implementation for complete biomaterial characterization in the context of clinical applicability. This will allow for a more unified approach to NP-biomaterials research within the field as a whole and enable comparative analysis of novel materials yet to be developed.

A machine learning approach for predictive models of adverse events following spine surgery

BACKGROUND

Rates of adverse events following spine surgery vary widely by patient-, diagnosis-, and procedure-related factors. It is critical to understand the expected rates of complications and to be able to implement targeted efforts at limiting these events.

PURPOSE

To develop and evaluate a set of predictive models for common adverse events after spine surgery.

STUDY DESIGN

A retrospective cohort study.

PATIENT SAMPLES

We extracted 345,510 patients from the Truven MarketScan (MKS) and MarketScan Medicaid Databases and 760,724 patients from the Centers for Medicare and Medicaid Services (CMS) Medicare database who underwent spine surgeries between 2009 and 2013.

OUTCOME MEASURES

Overall adverse event (AE) occurrence and types of AE occurrence during the 30-day postoperative follow-up.

METHODS

We applied a least absolute shrinkage and selection operator regularization method and a logistic regression approach for predicting the risks of an overall AE and the top six most commonly observed AEs. Predictors included patient demographics, location of the spine procedure, comorbidities, type of surgery performed, and preoperative diagnosis.

RESULTS

The median ages of MKS and CMS patients were 49 years and 69, respectively. The most frequent individual AE was a cardiac dysfunction in CMS (10.6%) patients and a pulmonary complication (4.7%) in MKS. The area under the curve (AUC) of a prediction model for an overall AE was 0.7. Among the six individual prediction models, the model for predicting the risk of a pulmonary complication showed the greatest accuracy (AUC 0.76), and the range of AUC for these six models was 0.7 and 0.76. Medicaid status was one of the most important factors in predicting the occurrences of AEs; Medicaid recipients had increased odds of AEs by 20%-60% compared with non-Medicaid patients (odds ratios 1.28-1.6; p<10^-10). Logistic regression showed higher AUCs than least absolute shrinkage and selection operator across these different models.

CONCLUSIONS

We present a set of predictive models for AEs following spine surgery that account for patient-, diagnosis-, and procedure-related factors which can contribute to patient-counseling, accurate risk adjustment, and accurate quality metrics.

Expenditures and Health Care Utilization Among Adults With Newly Diagnosed Low Back and Lower Extremity Pain

IMPORTANCE

Low back pain (LBP) with or without lower extremity pain (LEP) is one of the most common reasons for seeking medical care. Previous studies investigating costs in this population targeted patients receiving surgery. Little is known about health care utilization among patients who do not undergo surgery.

OBJECTIVES

To assess use of health care resources for LBP and LEP management and analyze associated costs.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used a retrospective analysis of a commercial database containing inpatient and outpatient data for more than 75 million individuals. Participants were US adults who were newly diagnosed with LBP or LEP between 2008 and 2015, did not have a red-flag diagnosis, and were opiate naive prior to diagnosis. Dates of analysis were October 6, 2018, to March 7, 2019.

EXPOSURES

Newly diagnosed LBP or LEP.

MAIN OUTCOMES AND MEASURES

The primary outcome was total cost of care within the first 6 and 12 months following diagnosis, stratified by whether patients received spinal surgery. An assessment was performed to determine whether patients who did not undergo surgery received care in accordance with proposed guidelines for conservative LBP and LEP management. Costs resulting from use of different health care services were estimated.

RESULTS

A total of 2 498 013 adult patients with a new LBP or LEP diagnosis (median [interquartile range] age, 47 [36-58] years; 1 373 076 [55.0%] female) were identified. More than half (55.7%) received no intervention. Only 1.2% of patients received surgery, but they accounted for 29.3% of total 12-month costs ($784 million). Total costs of care among the 98.8% of patients who did not receive surgery were $1.8 billion. Patients who did not undergo surgery frequently received care that was inconsistent with clinical guidelines for LBP and LEP: 32.3% of these patients received imaging within 30 days of diagnosis and 35.3% received imaging without a trial of physical therapy.

CONCLUSIONS AND RELEVANCE

The findings suggest that surgery is rare among patients with newly diagnosed LBP and LEP but remains a significant driver of spending. Early imaging in patients who do not undergo surgery was also a major driver of increased health care expenditures. Avoidable costs among patients with typically self-limited conditions result in considerable economic burden to the US health care system.

Initial Provider Specialty Is Associated With Long-term Opiate Use in Patients With Newly Diagnosed Low Back and Lower Extremity Pain

STUDY DESIGN

Retrospective longitudinal cohort analysis of patients diagnosed in 2010, with continuous enrollment 6 months prior to and 12 months following the initial visit.

OBJECTIVE

To determine whether provider specialty influences patterns of opiate utilization long after initial diagnosis.

SUMMARY OF BACKGROUND DATA

Patients with low back pain present to a variety of providers and receive a spectrum of treatments, including opiate medications. The impact of initial provider type on opiate use in this population is uncertain.

METHODS

We performed a retrospective analysis of opiate-naïve adult patients in the United States with newly diagnosed low back or lower extremity pain. We estimated the risk of early opiate prescription (≤14 d from diagnosis) and long-term opiate use (≥six prescriptions in 12 mo) based on the provider type at initial diagnosis using multivariable logistic regression, adjusting for patient demographics and comorbidities.

RESULTS

We identified 478,981 newly diagnosed opiate-naïve patients. Of these, 40.4% received an opiate prescription within 1 year and 4.0% met criteria for long-term use. The most common initial provider type was family practice, associated with a 24.4% risk of early opiate prescription (95% CI, 24.1-24.6) and a 2.0% risk of long-term opiate use (95% CI, 2.0-2.1). Risk of receiving an early opiate prescription was higher among patients initially diagnosed by emergency medicine (43.1%; 95% CI, 41.6-44.5) or at an urgent care facility (40.8%; 95% CI, 39.4-42.3). Risk of long-term opiate use was highest for patients initially diagnosed by pain management/anesthesia (6.7%; 95% CI, 6.0-7.3) or physical medicine and rehabilitation (3.4%; 95% CI, 3.1-3.8) providers.

CONCLUSION

Initial provider type influences early opiate prescription and long-term opiate use among opiate-naïve patients with newly diagnosed low back and lower extremity pain.

LEVEL OF EVIDENCE

3.

Geographic variation in the surgical management of lumbar spondylolisthesis: characterizing practice patterns and outcomes

BACKGROUND CONTEXT

The role of arthrodesis in the surgical management of lumbar spondylolisthesis remains controversial. We hypothesized that practice patterns and outcomes for this patient population may vary widely.

PURPOSE

This study aimed to characterize geographic variation in surgical practices and outcomes for patients with lumbar spondylolisthesis.

STUDY DESIGN/SETTING

A retrospective analysis on a national longitudinal database between 2007 and 2014 was carried out.

METHODS

We calculated arthrodesis rates, inpatient and long-term costs, and key quality indicators (eg, reoperation rates). Using linear and logistic regression models, we then calculated expected quality indicator values, adjusting for patient-level demographic factors, and compared these values with the observed values, to assess quality variation apart from differences in patient populations.

RESULTS

We identified a cohort of 67,077 patients (60.7% female, mean age of 59.8 years (standard deviation, 12.0) with lumbar spondylolisthesis who received either laminectomy or laminectomy with arthrodesis. The majority of patients received arthrodesis (91.8%). Actual rates of arthrodesis varied from 97.5% in South Dakota to 81.5% in Oregon. Geography remained a significant predictor of arthrodesis even after adjusting for demographic factors (p<.001). Marked geographic variation was also observed in initial costs ($32,485 in Alabama to $78,433 in Colorado), 2-year postoperative costs ($15,612 in Arkansas to $34,096 in New Jersey), length of hospital stay (2.6 days in Arkansas to 4.5 in Washington, D.C.), 30-day complication rates (9.5% in South Dakota to 22.4% in Maryland), 30-day readmission rates (2.5% in South Dakota to 13.6% in Connecticut), and reoperation rates (1.8% in Maine to 12.7% in Alabama).

CONCLUSIONS

There is marked geographic variation in the rates of arthrodesis in treatment of spondylolisthesis within the United States. This variation remains pronounced after accounting for patient-level demographic differences. Costs of surgery and quality outcomes also vary widely. Further study is necessary to understand the drivers of this variation.

Neurophysiological monitoring during cervical spine surgeries: Longitudinal costs and outcomes

OBJECTIVES

Well-designed longitudinal studies assessing effectiveness of intraoperative neurophysiologic monitoring (IONM) are lacking. We investigate IONM effects on cost and administrative markers for health outcomes in the year after cervical spine surgery.

METHODS

We identified single-level cervical spine surgeries in commercial claims. We constructed linear regression models estimating the effect of IONM (controlling for patient demographics, pre-operative health, services during index admission) on total spending, neurological complications, readmissions, and outpatient opiate usage in the year following index surgery.

RESULTS

IONM was associated with increased spending during index admission of $1229 (p = 0.001), but decreased spending post-discharge of $1615 (p = 0.010), for a net - $386 (p = 0.608) for the year after surgery. Shorter length of stay (0.116 days, p = 0.004) and fewer readmissions (20.5 per thousand, p = 0.036) accounted for some post-discharge savings. IONM was associated with decreased rates of nervous system complications (4/1000, p = 0.048) and post-discharge opiate use (17 prescriptions/1000, p = 0.050) in the year after index admission.

CONCLUSIONS

IONM was associated with administrative markers suggesting improved health outcomes after cervical spine surgery without greater costs for the year.

SIGNIFICANCE

This study suggests IONM may have lasting health and cost benefits.

Postoperative Opioid Use, Complications, and Costs in Surgical Management of Lumbar Spondylolisthesis

STUDY DESIGN

Retrospective analysis on a national longitudinal database (2007-2014).

OBJECTIVE

To determine the association between arthrodesis and complication rates, costs, surgical revision, and postoperative opioid prescription.

SUMMARY OF BACKGROUND DATA

Arthrodesis in patients receiving laminectomy for lumbar spondylolisthesis remains controversial. However, population-level evidence to support the use of arthrodesis remains limited.

METHODS

We identified 73,176 patient records and used coarsened exact matching to create comparable populations of patients who received laminectomy or laminectomy with arthrodesis. We use linear and logistic regression models to analyze the relationship between arthrodesis and postoperative complications, length of stay, costs, readmissions, surgical revisions, and postoperative opioid prescribing.

RESULTS

Patients who underwent arthrodesis spent 1 more day in the hospital on average (P < 0.01), and had higher costs of care at their index visit ($24,126, P < 0.01), which were partially offset by lower costs of care over the 2 years following their procedure ($14,667 less in arthrodesis patients, P = 0.01). Patients with arthrodesis were less likely to have a surgical revision (odds ratio = 0.66, P < 0.01). Patients with arthrodesis used more opioids in the first 2 months following their procedure, but had comparable opioid use to patients undergoing laminectomy without arthrodesis in all other postoperative months over the next 2 years, and were not more or less likely to convert to chronic opioid use. Postoperative opioid prescription varied dramatically across states (P < 0.01); geographic variation in opioid use is substantially greater than differences in opioid use based on procedure performed.

CONCLUSION

Arthrodesis is associated with reduced likelihood of surgical revision and increased use of opioids in the first 2 months following surgery, but not associated with greater or lesser opioid use beyond the initial 2 postoperative months. Geographic variation in opioid use is substantial even after accounting for patient characteristics and for whether patients underwent arthrodesis.

LEVEL OF EVIDENCE

3.

Insights Into Oropharyngeal Dysphagia From Administrative Data and Clinical Registries: A Literature Review

Purpose

The call for data-driven health care has been bolstered by the digitization of medical records, quality initiatives, and payment reform. Administrative databases and clinical registries are increasingly being used to study oropharyngeal dysphagia and to facilitate data-driven decision making. The objective of this work was to summarize key findings, etiologies studied, data sources used, study objectives, and quality of evidence of all original research articles that have investigated oropharyngeal dysphagia or aspiration pneumonia using administrative or clinical registry data to date.

Method

A literature search was completed in MEDLINE, Scopus, and Google Scholar (January 1, 1990, to February 1, 2017). Each study that met inclusion criteria was rated for quality of evidence on a 5-point scale.

Results

Eighty-four research articles were included in the final analysis (n = 221-1,649,871). Over the past 20 years, the number of new publications in this area has quintupled. Most of the administrative database and clinical registry studies of dysphagia have been retrospective cohort studies and cross-sectional studies and limited to quality of evidence levels of 3-4. In these studies, much has been learned about risk factors for dysphagia and pneumonia in defined populations and health care costs and usage. Little has been gleaned from these studies regarding swallowing physiology or dysphagia management.

Conclusions

Investigators are just beginning to develop the methods to study oropharyngeal dysphagia using administrative data and clinical registries. Future research is needed in all areas, from the fundamental issue of how to identify individuals with dysphagia with high sensitivity in these data sets to evaluating treatment effectiveness.

Supplemental Material

https://doi.org/10.23641/asha.6066515.

Complications, Readmissions, and Revisions for Spine Procedures Performed by Orthopedic Surgeons Versus Neurosurgeons: A Retrospective, Longitudinal Study

STUDY DESIGN

Retrospective database analysis.

OBJECTIVE

To examine the impact of training pathway, either neurosurgical or orthopedic, on complications, readmissions, and revisions in spine surgery.

SUMMARY OF BACKGROUND DATA

Training pathway has been shown to have an impact on outcomes in various surgical subspecialties. Although training pathway has not been shown to have a significant impact on spine surgery outcomes in the perioperative period, long-term results are unknown.

MATERIALS AND METHODS

A retrospective analysis of 197,682 patients receiving 1 of 3 common spine surgeries [lumbar laminectomy, lumbar fusion, and anterior cervical discectomy and fusion (ACDF)] between 2006 and 2010 was conducted. Patient data were obtained from a large claims database. Postoperative adverse effects, all-cause readmission, revision surgery rates, and intermediary payments in these cohorts of patients were compared between spine surgeons with either neurosurgical or orthopedic backgrounds.

RESULTS

Patient demographics, hospital-stay characteristics, and medical comorbidities were similar between neurosurgeons and orthopedic surgeons. The risks of surgical complications, all-cause readmission, and revision surgery were also similar between neurosurgeons and orthopedic surgeons across all procedure types assessed, with several minor exceptions: neurosurgeons had marginally higher odds of any complication for lumbar fusions [odds ratio (OR) 1.14; 95% confidence interval (CI), 1.09-1.20] and ACDFs (OR, 1.09; 95% CI, 1.04-1.15). Neurosurgeons also had slightly higher rates of revision surgery for concurrent lumbar laminectomy with fusion (OR, 1.14; 95% CI, 1.08-1.22), and ACDFs (OR, 1.20; 95% CI, 1.14-1.28). No associations between surgeon type and any particular complication were consistently observed for all procedure groups. There were also no associations between surgeon type and 30-day all-cause readmission. Median total intermediary payments were somewhat higher for neurosurgery patients for all procedure groups assessed.

CONCLUSIONS

Few significant associations between surgeon type and patient outcomes exist in the context of spine surgery. Those which do are small and unlikely to be clinically meaningful.

LEVEL OF EVIDENCE

Level 3.

An assessment of data and methodology of online surgeon scorecards

OBJECTIVE Recently, 2 surgeon rating websites (Consumers' Checkbook and ProPublica) were published to allow the public to compare surgeons through identifying surgeon volume and complication rates. Among neurosurgeons and orthopedic surgeons, only cervical and lumbar spine, hip, and knee procedures were included in this assessment. METHODS The authors examined the methodology of each website to assess potential sources of inaccuracy. Each online tool was queried for reports on neurosurgeons specializing in spine surgery and orthopedic surgeons specializing in spine, hip, or knee surgery. Surgeons were chosen from top-ranked hospitals in the US, as recorded by a national consumer publication ranking system, within the fields of neurosurgery and orthopedic surgery. The results were compared for accuracy and surgeon representation, and the results of the 2 websites were also compared. RESULTS The methodology of each site was found to have opportunities for bias and limited risk adjustment. The end points assessed by each site were actually not complications, but proxies of complication occurrence. A search of 510 surgeons (401 orthopedic surgeons [79%] and 109 neurosurgeons [21%]) showed that only 28% and 56% of surgeons had data represented on Consumers' Checkbook and ProPublica, respectively. There was a significantly higher chance of finding surgeon data on ProPublica (p < 0.001). Of the surgeons from top-ranked programs with data available, 17% were quoted to have high complication rates, 13% with lower volume than other surgeons, and 79% had a 3-star out of 5-star rating. There was no significant correlation found between the number of stars a surgeon received on Consumers' Checkbook and his or her adjusted complication rate on ProPublica. CONCLUSIONS Both the Consumers' Checkbook and ProPublica websites have significant methodological issues. Neither site assessed complication occurrence, but rather readmissions or prolonged length of stay. Risk adjustment was limited or nonexistent. A substantial number of neurosurgeons and orthopedic surgeons from top-ranked hospitals have no ratings on either site, or have data that suggests they are low-volume surgeons or have higher complication rates. Consumers' Checkbook and ProPublica produced different results with little correlation between the 2 websites in how surgeons were graded. Given the significant methodological issues, incomplete data, and lack of appropriate risk stratification of patients, the featured websites may provide erroneous information to the public.

Surgical outcomes of cervical spondylotic myelopathy: an analysis of a national, administrative, longitudinal database

OBJECTIVE

The authors performed a population-based analysis of national trends, costs, and outcomes associated with cervical spondylotic myelopathy (CSM) in the United States. They assessed postoperative complications, resource utilization, and predictors of costs, in this surgically treated CSM population.

METHODS

MarketScan data (2006–2010) were used to retrospectively analyze the complications and costs of different spine surgeries for CSM. The authors determined outcomes following anterior cervical discectomy and fusion (ACDF), posterior fusion, combined anterior/posterior fusion, and laminoplasty procedures.

RESULTS

The authors identified 35,962 CSM patients, comprising 5154 elderly (age ≥ 65 years) patients (mean 72.2 years, 54.9% male) and 30,808 nonelderly patients (mean 51.1 years, 49.3% male). They found an overall complication rate of 15.6% after ACDF, 29.2% after posterior fusion, 41.1% after combined anterior and posterior fusion, and 22.4% after laminoplasty. Following ACDF and posterior fusion, a significantly higher risk of complication was seen in the elderly compared with the nonelderly (reference group). The fusion level and comorbidity-adjusted ORs with 95% CIs for these groups were 1.54 (1.40–1.68) and 1.25 (1.06–1.46), respectively. In contrast, the elderly population had lower 30-day readmission rates in all 4 surgical cohorts (ACDF, 2.6%; posterior fusion, 5.3%; anterior/posterior fusion, 3.4%; and laminoplasty, 3.6%). The fusion level and comorbidity-adjusted odds ratios for 30-day readmissions for ACDF, posterior fusion, combined anterior and posterior fusion, and laminoplasty were 0.54 (0.44–0.68), 0.32 (0.24–0.44), 0.17 (0.08–0.38), and 0.39 (0.18–0.85), respectively.

CONCLUSIONS

The authors' analysis of the MarketScan database suggests a higher complication rate in the surgical treatment of CSM than previous national estimates. They found that elderly age (≥ 65 years) significantly increased complication risk following ACDF and posterior fusion. Elderly patients were less likely to experience a readmission within 30 days of surgery. Postoperative complication occurrence, and 30-day readmission were significant drivers of total cost within 90 days of the index surgical procedure.

Predicting Occurrence of Spine Surgery Complications Using "Big Data" Modeling of an Administrative Claims Database

BACKGROUND

Postoperative metrics are increasingly important in determining standards of quality for physicians and hospitals. Although complications following spinal surgery have been described, procedural and patient variables have yet to be incorporated into a predictive model of adverse-event occurrence. We sought to develop a predictive model of complication occurrence after spine surgery.

METHODS

We used longitudinal prospective data from a national claims database and developed a predictive model incorporating complication type and frequency of occurrence following spine surgery procedures. We structured our model to assess the impact of features such as preoperative diagnosis, patient comorbidities, location in the spine, anterior versus posterior approach, whether fusion had been performed, whether instrumentation had been used, number of levels, and use of bone morphogenetic protein (BMP). We assessed a variety of adverse events. Prediction models were built using logistic regression with additive main effects and logistic regression with main effects as well as all 2 and 3-factor interactions. Least absolute shrinkage and selection operator (LASSO) regularization was used to select features. Competing approaches included boosted additive trees and the classification and regression trees (CART) algorithm. The final prediction performance was evaluated by estimating the area under a receiver operating characteristic curve (AUC) as predictions were applied to independent validation data and compared with the Charlson comorbidity score.

RESULTS

The model was developed from 279,135 records of patients with a minimum duration of follow-up of 30 days. Preliminary assessment showed an adverse-event rate of 13.95%, well within norms reported in the literature. We used the first 80% of the records for training (to predict adverse events) and the remaining 20% of the records for validation. There was remarkable similarity among methods, with an AUC of 0.70 for predicting the occurrence of adverse events. The AUC using the Charlson comorbidity score was 0.61. The described model was more accurate than Charlson scoring (p < 0.01).

CONCLUSIONS

We present a modeling effort based on administrative claims data that predicts the occurrence of complications after spine surgery.

CLINICAL RELEVANCE

We believe that the development of a predictive modeling tool illustrating the risk of complication occurrence after spine surgery will aid in patient counseling and improve the accuracy of risk modeling strategies.