Low Socioeconomic Status Is Associated With Increased Complication Rates: Are Risk Adjustment Models Necessary in Cervical Spine Surgery?

Community-level Socioeconomic Status Is a Poor Predictor of Outcomes Following Lumbar and Cervical Spine Surgery

STUDY DESIGN

Retrospective Cohort study.

OBJECTIVE

Our objective was to compare 3 socioeconomic status (SES) indexes and evaluate associations with outcomes after anterior cervical discectomy and fusion (ACDF) or lumbar fusion.

BACKGROUND DATA

Socioeconomic disparities affect patients' baseline health and clinical outcomes following spine surgery. It is still unclear whether community-level indexes are accurate surrogates for patients' socioeconomic status (SES) and whether they are predictive of postoperative outcomes.

METHODS

Adult patients undergoing ACDF (N=1189) or lumbar fusion (N=1136) from 2014 to 2020 at an urban tertiary medical center were retrospectively identified. Patient characteristics, patient-reported outcomes (PROMs), and surgical outcomes (90-day readmissions, complications, and nonhome discharge) were collected from the electronic medical record. SES was extracted from 3 indexes (Area Deprivation Index, Social Vulnerability Index, and Distressed Communities Index). Patients were classified into SES quartiles for bivariate and multivariate regression analysis. We utilized Youden's index to construct receiver operating characteristic curves for all surgical outcomes using indexes as continuous variables.

RESULTS

Preoperatively, lumbar fusion patients in the poorest ADI community exhibited the greatest ODI ( P =0.001) and in the poorest DCI and SVI communities exhibited worse VAS back ( P <0.001 and 0.002, respectively). Preoperatively, ACDF patients in the lowest DCI community had significantly worse MCS-12, VAS neck, and NDI, and in the poorest ADI community had worse MCS-12 and NDI. There were no differences in the magnitude of improvement for any PROM. All indexes performed poorly at predicting surgical outcomes (AUC: 0.467-0.636, all P >0.05).

CONCLUSIONS

Community-wide SES indexes are not accurate proxies for individual SES. While patients from poorer communities present with worse symptoms, community-level SES is not associated with overall outcomes following spine fusion. Patient-specific factors should be employed when attempting to stratify patients based on SES given the inherent limitations present with these indexes.

LEVEL OF EVIDENCE

Level III.

Racial disparities in anterior cervical discectomy and fusion: an analysis of 67,621 patients

BACKGROUND CONTEXT

Racial disparities have been demonstrated in the analysis of perioperative outcomes in minority populations in the field of spine surgery when compared to nonminorities. However, there are limited studies investigating the role of racial disparities in cervical spine surgery in a recent, large patient sample.

PURPOSE

We assessed race and ethnicity as an independent risk factor in outcome disparities following anterior cervical discectomy and fusion (ACDF) among Black or African American (AA), Asian or Pacific Islander (AP), Hispanic (HA), and Native American or Alaska Native (NA) patients compared to White or Caucasian (CA) patients.

STUDY DESIGN/SETTING

A retrospective cohort, large multicenter database study.

PATIENT SAMPLE

The American College of Surgeons National Surgical Quality Improvement Program database was queried for ACDFs from 2011 to 2021 by Common Procedural Terminology codes (22551, 22552, 22585, and 22554). Patients were categorized into five cohorts based on race and ethnicity: Asian American or Pacific Islander, Black or African American, Hispanic, Native American or Alaskan Native, and White or Caucasian.

OUTCOME MEASURES

The outcome measures for this study were surgical complications, perioperative, and postoperative outcomes within 30-days postoperative.

METHODS

Baseline characteristics were analyzed using analysis of variance (ANOVA) for continuous variables or chi-squared test for categorical variables with Bonferroni correction. Controlling for racial demographic and comorbidity differences via model selection by Akaike information criterion by backward stepwise regression, race and ethnicity were isolated as possible independent risk factors for short-term patient outcomes.

RESULTS

67621 patients (54679 CA, 7358 AA, 1429 AP, 399 NA, and 3756 HA) were included in this study. AA race was an independent risk factor for medical complications (OR: 1.330, 95% CI [1.137-1.549], p < .001), operative time (β: 12.162 minutes, 95% CI [10.565-13.758], p < .001), length of stay (β: 0.514 days, 95% CI [0.431-0.597], p < .001), postoperative discharge time (β: 0.439 days, 95% CI [0.388-0.491], p < 0.001), 30-day reoperation (OR: 1.379, 95% CI [1.142-1.654], p < .001), and a nonhome discharge destination (OR: 2.256, 95% CI [2.022-2.514], p < .001). AP race was an independent risk factor for operative time (β: 14.293 minutes, 95% CI [10.854-17.732], p < .001). HA ethnicity was an independent risk factor for a nonhome discharge destination (OR: 1.395, 95% CI [1.171-1.652], p < .001).

CONCLUSIONS

Compared to CA patients, AA, AP, HA, and NA ACDF patients experience greater comorbidity burden and/or unfavorable 30-day surgical outcomes. These findings support the need for the exploration of interdisciplinary care focused on addressing known causes of disparities in minority patients. Future studies should account for social determinants of health by race and ethnicity to identify additional factors that may contribute to higher rates of complications.

Socioeconomic Status Impacts Length of Stay and Nonhome Discharge Disposition After Posterior Cervical Decompression and Fusion

STUDY DESIGN

Retrospective cohort study.

OBJECTIVE

To examine how community-level economic disadvantage impacts short-term outcomes following posterior cervical decompression and fusion (PCDF) for cervical spondylotic myelopathy.

SUMMARY OF BACKGROUND DATA

The effects of socioeconomic factors, measured by the Distress Community Index (DCI), on postoperative outcomes after PCDF are underexplored. By understanding the impact of socioeconomic status (SES) on PCDF outcomes, disparities in care can be addressed.

MATERIALS AND METHODS

Retrospective review of 554 patients who underwent PCDF for cervical spondylotic myelopathy between 2017 and 2022. SES was assessed using DCI obtained from patient zip codes. Patients were stratified into quintiles from Prosperous to Distressed based on DCI. Bivariate analyses and multivariate regressions were performed to evaluate the associations between social determinants of health and surgical outcomes, including length of stay, home discharge, complications, and readmissions.

RESULTS

Patients living in at-risk/distressed communities were more likely to be Black (53.3%). Patients living in at-risk/distressed communities had the longest hospitalization (6.24 d vs. prosperous: 3.92, P =0.006). Significantly less at-risk/distressed patients were discharged home without additional services (37.3% vs. mid-tier: 52.5% vs. comfortable: 53.4% vs. prosperous: 56.4%, P <0.001). On multivariate analysis, residing in an at-risk/distressed community was independently associated with nonhome discharge [odds ratio (OR): 2.28, P =0.007] and longer length of stay (E:1.54, P =0.017).

CONCLUSIONS

Patients from socioeconomically disadvantaged communities experience longer hospitalizations and are more likely to be discharged to a rehabilitation or skilled nursing facility following PCDF. Social and economic barriers should be addressed as part of presurgical counseling and planning in elective spine surgery to mitigate these disparities and improve the quality and value of health care delivery, regardless of socioeconomic status.

Timing of Carpal Tunnel Syndrome Treatment Based on Social Deprivation

INTRODUCTION

This study sought to investigate the impact of the area deprivation index (ADI) on the treatment timeline from carpal tunnel syndrome (CTS) to carpal tunnel release (CTR). We hypothesize that increased social deprivation will correlate with increased time between care milestones from presentation to surgery.

METHODS

This is a retrospective review of patients diagnosed with CTS who underwent CTR at a single academic institution. Variables including gender, race, ethnicity, smoking status, medical comorbidities, ADI, timing of visits and surgery, and electrodiagnostic (EDX) studies were collected. The analysis included univariate chi-square tests, ANOVA, and multivariate linear and logistic regressions.

RESULTS

In total, 501 patients were divided by ADI national percentiles from least to most deprived tertiles. Univariate analysis demonstrated increased time from EDX to CTR comparing the least and most deprived tertiles (52 days vs. 95 days). On multivariate analysis, this correlation was no longer significant. Multivariate analysis also revealed a non-significant trend towards least deprived ADI correlating with a trial of corticosteroid injections. Injections prior to surgery correlated with an increased time from EDX to CTR and time from initial presentation to CTR. A diagnosis of severe CTS on EDX correlated with a decreased likelihood of corticosteroid injections.

CONCLUSIONS

Although previous studies have demonstrated mixed outcome results in CTS, we found that social deprivation does not correlate with delays in the treatment timeline. Factors other than delays in the treatment timeline may be contributing to the potentially worse outcomes in CTS patients with greater social deprivation.

Association Between Median Household Income and Perioperative Outcomes of Lumbar Spinal Fusion: An Analysis of the National Inpatient Sample (2009-2020)

BACKGROUND

Relationships between low socioeconomic status and surgical outcomes are well established for certain procedures. However, scant literature has focused on relationships between median household income and lumbar fusion outcomes.

METHODS

Patients who underwent fusion procedures between January 1, 2009 and December 31, 2020 were identified from the National Inpatient Sample database. They were categorized into 4 quartiles, from lowest to highest, based on median household incomes in respective zip codes. We applied univariable and multivariable linear and logistic regression models to analyze perioperative data according to income quartiles.

RESULTS

We included 2,826,396 patients. In multivariable regression, patients in the 3 lowest income quartiles exhibited higher rates of in-hospital cardiac events perioperatively, with odds ratios (ORs) of 1.19 (95% confidence interval [CI]1.13-1.26, P < 0.001), 1.10 (95% CI 1.05-1.16, P < 0.001), and 1.06 (95% CI 1.01-1.12, P = 0.011) for the first, second, and third quartiles, respectively. Patients in the lowest income (first) quartile had a higher occurrence of perioperative urinary complications (OR = 1.07, 95% CI 1.03-1.12, P = 0.001), systemic infectious complications (OR = 1.17, 95% CI 1.04-1.32, P = 0.006), neurological deficit (OR = 1.17, 95% CI 1.06-1.30, P = 0.002), and wound infections (OR = 1.22, 95% CI 1.12-1.34, P < 0.001). Those in the 3 lowest income quartiles were less likely to experience respiratory, gastrointestinal, and venous thrombotic complications (P < 0.05). The lowest income quartile had protective associations for dural tears (OR 0.93, 95% CI 0.89-0.99, P = 0.038) and postprocedure anemia across all 3 lower quartiles, with OR < 1 and P < 0.001.

CONCLUSIONS

Reduced household income significantly affected perioperative outcomes after lumbar fusion and should be taken into consideration during the perioperative period.

A Nationwide Analysis of the Impact of Socioeconomic Status on Complications and Health Care Utilizations After Total Knee Arthroplasty Using the Area Deprivation Index: Consideration of the Disadvantaged Patient

BACKGROUND

Socioeconomic status has been demonstrated to be an important prognostic risk factor among patients undergoing total joint arthroplasty. We evaluated patients living near neighborhoods with higher socioeconomic risk undergoing total knee arthroplasty (TKA) and if they were associated with differences in the following: (1) medical complications; (2) emergency department (ED) utilizations; (3) readmissions; and (4) costs of care.

METHODS

A query of a national database from 2010 to 2020 was performed for primary TKAs. The Area Deprivation Index (ADI) is a weighted index comprised of 17 census-based markers of material deprivation and poverty. Higher numbers indicate a greater disadvantage. Patients undergoing TKA in zip codes associated with high ADI (90%+) were 1:1 propensity-matched to a comparison group by age, sex, and Elixhauser Comorbidity Index. This yielded 225,038 total patients, evenly matched between cohorts. Outcomes studied included complications, ED utilizations, readmission rates, and 90-day costs. Logistic regression models computed the odds ratios (OR) of ADI on the dependent variables. P values less than .003 were significant.

RESULTS

High ADI led to higher rates and odds of any medical complications (11.7 versus 11.0%; OR: 1.05, P = .0006), respiratory failures (0.4 versus 0.3%; OR: 1.28, P = .001), and acute kidney injuries (1.7 versus 1.5%; OR: 1.15, P < .0001). Despite lower readmission rates (2.9 versus 3.5%), high ADI patients had greater 90-day ED visits (4.2 versus 4.0%; OR: 1.07, P = .0008). The 90-day expenditures ($15,066 versus $12,459; P < .0001) were higher in patients who have a high ADI.

CONCLUSIONS

Socioeconomically disadvantaged patients have increased complications and ED utilizations. Neighborhood disadvantage may inform health care policy and improve postdischarge care. The socioeconomic status metrics, including ADI (which captures community effects), should be used to adequately risk-adjust or risk-stratify patients so that access to care for deprived regions and patients is not lost.

LEVEL OF EVIDENCE

III.

Geospatial Evaluation of Disparities in Access to Cervical Spine Fusion in Metropolitan Areas Across the United States

STUDY DESIGN

Retrospective study with epidemiologic analysis of public Medicare data.

OBJECTIVE

The purpose of this study is to use geospatial analysis to identify disparities in access to cervical spine fusions in metropolitan Medicare populations.

SUMMARY OF BACKGROUND DATA

Cervical spine fusion is among the most common elective procedures performed by spine surgeons and is the most common surgical intervention for degenerative cervical spine disease. Although some studies have examined demographic and socioeconomic trends in cervical spine fusion, few have attempted to identify where disparities exist and quantify them at a community level.

METHODS

Center for Medicare and Medicaid Services physician billing and Medicare demographic data sets from 2013 to 2020 were filtered to contain only cervical spine fusion procedures and then combined with US Census socioeconomic data. The Moran Index geospatial clustering algorithm was used to identify statistically significant hotspot and coldspots of cervical spine fusions per 100,000 Medicare members at a county level. Univariate and multivariate analysis was subsequently conducted to identify demographic and socioeconomic factors that are associated with access to care.

RESULTS

A total of 285,405 cervical spine fusions were analyzed. Hotspots of cervical spine fusion were located in the South, while coldspots were throughout the Northern Midwest, the Northeast, South Florida, and West Coast. The percent of Medicare patients that were Black was the largest negative predictor of cervical spine fusions per 100,000 Medicare members ( β =-0.13, 95% CI: -0.16, -0.10).

CONCLUSIONS

Barriers to access can have significant impacts on health outcomes, and these impacts can be disproportionately felt by marginalized groups. Accounting for socioeconomic disadvantage and geography, this analysis found the Black race to be a significant negative predictor of access to cervical spine fusions. Future studies are needed to further explore potential socioeconomic barriers that exist in access to specialized surgical care.

LEVEL OF EVIDENCE

Level III-retrospective.

Socioeconomic Influence on Cervical Fusion Outcomes

STUDY DESIGN

A retrospective observational study.

OBJECTIVE

The aim of this study was to compare postoperative outcomes following cervical fusion based on socioeconomic status (SES) variables including race, education, net worth, and homeownership status.

SUMMARY OF BACKGROUND DATA

Previous studies have demonstrated the effects of patient race and income on outcomes following cervical fusion procedures. However, no study to date has comprehensively examined the impact of multiple SES variables. We hypothesized that race, education, net worth, and homeownership influence important outcomes following cervical fusion.

MATERIALS AND METHODS

Optum's de-identified Clinformatics Data Mart (CDM) database was queried for patients undergoing first-time inpatient cervical fusion from 2003 to 2021. Patient demographics, SES variables, and the Charlson comorbidity index were obtained. Primary outcomes were hospital length of stay and 30-day rates of reoperation, readmission, and postoperative complications. Secondary outcomes included postoperative emergency room visits, discharge status, and total hospital charges.

RESULTS

A total of 111,914 patients underwent cervical spinal fusion from 2003 to 2021. Multivariate analysis revealed that after controlling for age, sex, and Charlson comorbidity index, Black race was associated with a higher rate of 30-day readmissions [odds ratio (OR): 1.11, 95% CI: 1.03-1.20]. Lower net worth (vs. >$500K) and renting (vs. owning a home) were significantly associated with both higher rates of 30-day readmissions (OR: 1.29, 95% CI: 1.17-1.41; OR: 1.34, 95% CI: 1.22-1.49), and emergency room visits (OR: 1.29, 95% CI: 1.18-1.42; OR: 1.11, 95% CI: 1.00-1.23). Lower net worth (vs. >$500K) was also associated with increased complications (OR: 1.22, 95% CI: 1.14-1.31).

CONCLUSION

Socioeconomic variables, including patient race, education, and net worth, influence postoperative metrics in cervical spinal fusion surgery. Future studies should focus on developing and implementing targeted interventions based on patient SES to reduce disparity.

In-hospital mortality trends after surgery for traumatic thoracolumbar injury: A national inpatient sample database study

Introduction

Given the increasing incidence of traumatic thoracolumbar injuries in recent years, studies have sought to investigate potential risk factors for outcomes in these patients.

Research question

The aim of this study was to investigate trends and risk factors for in-hospital mortality after fusion for traumatic thoracolumbar injury.

Materials and methods

Patients undergoing thoracolumbar fusion after traumatic injury were queried from the National Inpatient Sample (NIS) from 2012 to 2017. Analysis was performed to identify risk factors for inpatient mortality after surgery.

Results

Patients in 2017 were on average older (51.0 vs. 48.5, P = 0.004), had more admitting diagnoses (15.5 vs. 10.7, p < 0.001), were less likely to be White (75.8% vs. 81.2%, p = 0.006), were from a ZIP code with a higher median income quartile (Quartile 1: 31.4% vs. 28.6%, p = 0.011), and were more likely to have Medicare as a primary payer (22.9% vs. 30.1%, p < 0.001). Bivariate analysis of demographics and surgical characteristics demonstrated that patients in the in-hospital mortality group (n = 90) were older (70.2 vs. 49.6, p < 0.001), more likely to be male (74.4% vs. 62.8%, p = 0.031), had a great number of admitted diagnoses (21.3 vs. 12.7, p < 0.001), and were more likely to be insured by Medicare (70.0% vs. 27.0%, p < 0.001). Multivariate regression analysis found age (OR 1.06, p < 0.001) and Black race (OR 3.71, p = 0.007) were independently associated with in-hospital mortality.

Conclusion

Our study of nationwide, traumatic thoracolumbar fusion procedures from 2012 to 2017 in the NIS database found older, black patients were at increased risk for in-hospital mortality after surgery.

Preoperative Dehydration Predicts Adverse Events Following Anterior Cervical Discectomy and Fusion

BACKGROUND

Anterior cervical discectomy and fusion (ACDF) is a common procedure for neck arthritis, typically alleviating pain and improving function. Preoperative dehydration has been correlated with postoperative infection, acute renal failure, deep vein thrombosis, and increased hospital length of stay. However, some studies have suggested that preoperative dehydration has a minimal relationship with postoperative outcomes, specifically in arthroplasty and lumbar surgery candidates.

METHODS

Patients who underwent ACDF from 2015 to 2020 as part of the American College of Surgeons National Surgical Quality Improvement Program database were identified. We excluded patients who presented with acute trauma. Dehydration was determined using the accepted definition of preoperative blood urea nitrogen to creatinine ratio greater than 20. Lengths of stay and 30-day postoperative adverse events were compared between dehydrated and nondehydrated cohorts, adjusting for baseline features using standard multivariate regression.

RESULTS

We identified 14,932 patients, and 4206 (28.1%) of whom were preoperatively dehydrated. Dehydrated patients had significantly higher odds of wound, hematological, and pulmonary complications; Clavien-Dindo grade IV, delayed length of stay (>5 days); and a lower likelihood of being discharged home (P < 0.005), even after controlling for demographic features (eg, sex, age, body mass index, race, and ethnicity). Furthermore, linear regression suggested an overall half-day increased length of hospital stay for dehydrated patients (95% CI [0.36, 0.60], P < 0.001).

CONCLUSION

Preoperative dehydration is common among ACDF surgery patients and appears to correlate with an increased risk of postoperative complications and prolonged length of hospital stay. Evaluation of a patient's hydration status from standard preoperative laboratory metrics can be employed for risk stratification, patient counseling, and timing of ACDF surgeries.

LEVEL OF EVIDENCE: 3

Socioeconomic Effects on Lumbar Fusion Outcomes

BACKGROUND

Recent studies suggest that socioeconomic status (SES) influences outcomes after spinal fusion. The influence of SES on postoperative outcomes is increasingly relevant as rates of lumbar fusion rise.

OBJECTIVE

To determine the influence of SES variables including race, education, net worth, and homeownership on postoperative outcomes.

METHODS

Optum's deidentified Clinformatics Data Mart Database was used to conduct a retrospective review of SES variables for patients undergoing first-time, inpatient lumbar fusion from 2003 to 2021. Primary outcomes included hospital length of stay (LOS) and 30-day reoperation, readmission, and postoperative complication rates. Secondary outcomes included postoperative emergency room visits, discharge status, and total hospital charges.

RESULTS

In total, 217 204 patients were identified. On multivariate analysis, Asian, Black, and Hispanic races were associated with increased LOS (Coeff. [coefficient] 0.92, 95% CI 0.68-1.15; Coeff. 0.61, 95% CI 0.51-0.71; Coeff. 0.43, 95% CI 0.32-0.55). Less than 12th grade education (vs greater than a bachelor's degree) was associated with increased odds of reoperation (OR [odds ratio] 1.88, 95% CI 1.03-3.42). Decreased net worth was associated with increased odds of readmission (OR 1.32, 95% CI 1.25-1.40) and complication (OR 1.14, 95% CI 1.10-1.20). Renting a home (vs homeownership) was associated with increased LOS, readmissions, and total charges (Coeff. 0.30, 95% CI 0.17-0.43; OR 1.19, 95% CI 1.11-1.30; Coeff. 13 200, 95% CI 9000-17 000).

CONCLUSION

Black race, less than 12th grade education, <$25K net worth, and lack of homeownership were associated with poorer postoperative outcomes and increased costs. Increasing perioperative support for patients with these sociodemographic risk factors may improve postoperative outcomes.

Few Randomized Controlled Trials in Spine Surgery in the United States Include Sociodemographic Patient Data: A Systematic Review

INTRODUCTION

The importance of sociodemographic factors such as race, education, and income on spine surgery outcomes has been well established, yet the representation of sociodemographic data within randomized controlled trials (RCTs) in spine literature remains undefined in the United States (U.S).

METHODS

Medical literature was reviewed within PubMed for RCTs with "spine" in the title or abstract published within the last 8 years (2014 to 2021) in seven major spine journals. This yielded 128 results, and after application of inclusion criteria (RCTs concerning adult spine pathologies conducted in the U.S), 54 RCTs remained for analysis. Each article's journal of publication, year of publication, and spinal pathology was recorded. Pathologies included cervical degeneration, thoracolumbar degeneration, adult deformity, cervical trauma, and thoracolumbar trauma. Sociodemographic variables collected were race, ethnicity, insurance status, income, work status, and education. The Fisher's exact test was used to compare inclusion of sociodemographic data by journal, year, and spinal pathology.

RESULTS

Sociodemographic data were included in the results and in any section of 57.4% (31/54) of RCTs. RCTs reported work status in 25.9% (14/54) of results and 38.9% (21/54) of RCTs included work status in any section. Income was included in the results and mentioned in any section in 13.0% (7/54) of RCTs. Insurance status was in the results or any section of 9.3% (5/54) and 18.5% (10/54) of RCTs, respectively. There was no association with inclusion of sociodemographic data within the results of RCTs as a factor of journal (P = 0.337), year of publication (P = 0.286), or spinal pathology (P = 0.199).

DISCUSSION

Despite evidence of the importance of sociodemographic factors on the natural history and treatment outcomes of myriad spine pathologies, this study identifies a surprising absence of sociodemographic data within contemporary RCTs in spine surgery. Failure to include sociodemographic factors in RCTs potentially bias the generalizability of outcome data.

Payor Type is Associated With Increased Rates of Reoperation and Health-care Utilization Following Unicompartmental Knee Arthroplasty: A National Database Study

Background

Unicompartmental knee arthroplasty (UKA) is a common orthopedic procedure with overall good clinical outcomes; however, more recent literature has identified disparities in treatment access and outcomes based on sociodemographic factors. There is a paucity of literature examining whether payor type, including Medicare, Medicaid, and commercial insurance types, impacts early medical complications and rates of reoperation following a UKA.

Methods

Patients with Medicare, Medicaid, or commercial payor type who underwent primary medial or lateral UKA between 2010 and 2019 were identified using a large national database. Ninety-day incidence of emergency department visit and 1-year incidence of revision, revision to arthroplasty, reimbursement, and cost of care were evaluated. Propensity score matching was used to control for patient demographic factors and comorbidities as covariates.

Results

Medicaid insurance was associated with an increased risk of emergency room visit (odds ratio [OR] 2.77; P < .001), revision surgery (OR 1.85; P < .001), and conversion to total knee arthroplasty (OR 1.50; P = .0292) compared to commercially insured patients. Medicaid insurance was associated with an increased risk of emergency room visit (OR 3.58; P < .001), revision surgery (OR 1.97; P < .001), and conversion to total knee arthroplasty (OR 1.80; P = .003). Medicaid patients were associated with a higher overall cost of care and lower reimbursement than commercial and Medicare patients (P < .001 and P < .001, respectively).

Conclusions

These findings demonstrate that payor type is associated with increased rates of reoperation and health-care utilization following UKA despite controlling for covariates. Additional work is required to understand the complex relationship between socioeconomic status and outcomes to ensure appropriate health-care access for all patients and pursue appropriate risk stratification.

Level of Evidence

III, retrospective chart review.

Patients From Socioeconomically Distressed Communities Experience Similar Clinical Improvements Following Anterior Cervical Discectomy and Fusion

STUDY DESIGN

Retrospective cohort.

OBJECTIVES

The aim was to compare patient-reported outcome measures (PROMs) following anterior cervical discectomy and fusion (ACDF) when categorizing patients based on socioeconomic status. Secondarily, we sought to compare PROMs based on race.

SUMMARY OF BACKGROUND DATA

Social determinants of health are believed to affect outcomes following spine surgery, but there is limited literature on how combined socioeconomic status metrics affect PROMs following ACDF.

MATERIALS AND METHODS

The authors identified patients who underwent primary elective one-level to four-level ACDF from 2014 to 2020. Patients were grouped based on their distressed community index (DCI) quintile (Distressed, At-Risk, Mid-tier, Comfortable, and Prosperous) and then race (White or Black). Multivariate regression for ∆PROMs was performed based on DCI group and race while controlling for baseline demographics and surgical characteristics.

RESULTS

Of 1204 patients included in the study, all DCI groups improved across all PROMs, except mental health component score (MCS-12) for the Mid-tier group ( P =0.091). Patients in the Distressed/At-Risk group had worse baseline MCS-12, visual analog scale (VAS) Neck, and neck disability index (NDI). There were no differences in magnitude of improvement between DCI groups. Black patients had significantly worse baseline VAS Neck ( P =0.002) and Arm ( P =0.012) as well as worse postoperative MCS-12 ( P =0.016), PCS-12 ( P =0.03), VAS Neck ( P <0.001), VAS Arm ( P =0.004), and NDI ( P <0.001). Multivariable regression analysis did not identify any of the DCI groupings to be significant independent predictors of ∆PROMs, but being White was an independent predictor of greater improvement in ∆PCS-12 (β=3.09, P =0.036) and ∆NDI (β=-7.32, P =0.003).

CONCLUSIONS

All patients experienced clinical improvements regardless of DCI or race despite patients in Distressed communities and Black patients having worse preoperative PROMs. Being from a distressed community was not an independent predictor of worse improvement in any PROMs, but Black patients had worse improvement in NDI compared with White patients.

LEVEL OF EVIDENCE

3.

Prediction of Admission Costs Following Anterior Cervical Discectomy and Fusion Utilizing Machine Learning

STUDY DESIGN

Retrospective case series.

OBJECTIVE

Predict cost following anterior cervical discectomy and fusion (ACDF) within the 90-day global period using machine learning models.

BACKGROUND

The incidence of ACDF has been increasing with a disproportionate decrease in reimbursement. As bundled payment models become common, it is imperative to identify factors that impact the cost of care.

MATERIALS AND METHODS

The Nationwide Readmissions Database (NRD) was accessed in 2018 for all primary ACDFs by the International Classification of Diseases 10th Revision (ICD-10) procedure codes. Costs were calculated by utilizing the total hospital charge and each hospital's cost-to-charge ratio. Hospital characteristics, such as volume of procedures performed and wage index, were also queried. Readmissions within 90 days were identified, and cost of readmissions was added to the total admission cost to represent the 90-day healthcare cost. Machine learning algorithms were used to predict patients with 90-day admission costs >1 SD from the mean.

RESULTS

There were 42,485 procedures included in this investigation with an average age of 57.7±12.3 years with 50.6% males. The average cost of the operative admission was $24,874±25,610, the average cost of readmission was $25,371±11,476, and the average total cost was $26,977±28,947 including readmissions costs. There were 10,624 patients who were categorized as high cost. Wage index, hospital volume, age, and diagnosis-related group severity were most correlated with the total cost of care. Gradient boosting trees algorithm was most predictive of the total cost of care (area under the curve=0.86).

CONCLUSIONS

Bundled payment models utilize wage index and diagnosis-related groups to determine reimbursement of ACDF. However, machine learning algorithms identified additional variables, such as hospital volume, readmission, and patient age, that are also important for determining the cost of care. Machine learning can improve cost-effectiveness and reduce the financial burden placed upon physicians and hospitals by implementing patient-specific reimbursement.

Characteristics of Patients Selected for Surgical Treatment of Spinal Meningioma

BACKGROUND

Spinal meningiomas are benign extra-axial tumors that can present with neurological deficits. Treatment partly depends on the degree of disability as there is no agreed-upon patient selection algorithm at present. We aimed to elucidate general patient selection patterns in patients undergoing surgery for spinal meningioma.

METHODS

Data for patients with spinal tumors admitted between 2016 and 2019 were extracted from the U.S. Nationwide Inpatient Sample. We identified patients with a primary diagnosis of spinal meningioma (using International Classification of Disease, 10^th revision codes) and divided them into surgical and nonsurgical treatment groups. Patient characteristics were evaluated for intergroup differences.

RESULTS

Of 6395 patients with spinal meningioma, 5845 (91.4%) underwent surgery. Advanced age, nonwhite race, obesity, diabetes mellitus, chronic renal failure, and anticoagulant/antiplatelet use were less prevalent in the surgical group (all P < 0.001). The only positive predictor of surgical treatment was elective admission status (odds ratio, 3.166; P < 0.001); negative predictors were low income, Medicaid insurance, anxiety, obesity, and plegia. Patients with bowel-bladder dysfunction, plegia, or radiculopathy were less likely to undergo surgical treatment. The surgery group was less likely to experience certain complications (deep vein thrombosis, P < 0.001; pulmonary embolism, P = 0.002). Increased total hospital charges were associated with nonwhite race, diabetes, depression, obesity, myelopathy, plegia, and surgery.

CONCLUSIONS

Patients treated surgically had a decreased incidence of complications, comorbidities, and Medicaid payer status. A pattern of increased utilization of health care resources and spending was also observed in the surgery group. The results indicate a potentially underserved population of patients with spinal meningioma.

Racial and Health Disparities among Cirrhosis-related Hospitalizations in the USA

BACKGROUND AND AIMS

Alcohol-associated liver disease (ALD) is the most common cause of advanced liver disease worldwide, including in the USA. Alcohol use and cirrhosis mortality is higher in American Indian/Alaska Native (AI/AN) compared to Whites. Data are scanty on ALD as a liver disease etiology in AI/AN compared to other races and ethnicities.

METHODS

The National Inpatient Sample on 199,748 cirrhosis-related hospitalizations, 14,241 (2,893 AI/AN, 2,893 Whites, 2,882 Blacks, 2,879 Hispanics, and 2,694 Asians or other races) matched 1:1 for race/ethnicity on demographics, insurance, and income quartile of the residence zip code analyzed.

RESULTS

After controlling for geographic location and hospital type, odds ratio (OR) and 95% confidence interval (CI) for ALD as cirrhosis etiology was higher among admissions in AI/AN vs. Whites [1.55 (1.37-1.75)], vs. Blacks [1.87 (1.65-2.11)], vs. Hispanic [1.89 (1.68-2.13)] and Asians/other races [2.24 (1.98-2.53)]. OR was also higher for AI/AN vs. all other races for alcohol-associated hepatitis (AH) as one of the discharge diagnoses. The findings were similar in a subgroup of 4,649 admissions with decompensated cirrhosis and in a cohort of 350 admissions with acute-on-chronic liver failure as defined by EASL-CLIF criteria. Alcohol use disorder diagnosis was present in 38% of admissions in AI/AN vs. 24-30% in other races, p<0.001. A total of 838 (5.9%) admissions were associated with in-hospital mortality. OR (95% CI) for in-hospital mortality in AI/AN individuals was 34% reduced vs. Blacks [0.66 (0.51-0.84)], but no difference was observed on comparison with other races.

CONCLUSIONS

ALD, including AH, is the most common etiology among cirrhosis-related hospitalizations in the USA among AI/AN individuals. In-hospital mortality was observed in about 6% of admissions, which was higher for Blacks and similar in other races compared to admissions for AI/AN. Public health policies should be implemented to reduce the burden of advanced ALD among AI/AN individuals.

Low socioeconomic status worsens access to care and outcomes for rotator cuff repair: a scoping review

Background

Poor socioeconomic status (SES) is consistently associated with poor quality of health care, particularly in the field of orthopedics. Expanding insurance coverage has created a larger patient population by specifically making health care more accessible, translating to greater demand for care in the low-SES population. The purpose of this article is to provide a scoping review of literature observing access and outcomes of rotator cuff repair surgery among low-SES populations.

Methods

We performed a systematic review of articles using PubMed, Embase, and EBSCO (May 2021) from 2010 onward. Peer-reviewed articles that recorded at least one SES measure specific to patients who underwent rotator cuff repair from the United States were included. SES measures were methodically defined as income, occupation, employment, education, and race. All data that aligned with these SES measures were extracted.

Results

Of the 1009 titles reviewed, 109 studies were screened by abstract, 23 were reviewed in full, and 7 studies met criteria for inclusion. Of the 5 studies investigating access, all 5 found disparities among postoperative physical therapy, orthopedic consult, and surgery, using Medicaid status as a proxy for income in addition to other income measures. Of the 3 studies analyzing outcomes, 2 found that low-SES patients had worse pain and function, again based on Medicaid status and other income measures. Education did not have a significant impact on outcomes, as per the 1 study that included it. No studies included measures of occupation or employment.

Conclusion

Patients of low SES face reduced access to cuff repair care and worse associated outcomes, despite federal and state government efforts to reduce health care disparity through health care reform. The small nature of this review reflects how measures of SES are often not examined in rotator cuff repair studies.

Alcohol-associated liver disease in the United States is associated with severe forms of disease among young, females and Hispanics

BACKGROUND

Alcohol use and alcohol-associated liver disease (ALD) burden are increasing in young individuals.

AIM

To assess host factors associated with this burden.

METHODS

National Health and Nutrition Examination Survey (NHANES), National Inpatient Sample (NIS), and United Network for Organ Sharing (UNOS) databases (2006-2016) were used to identify individuals with harmful alcohol use, ALD-related admissions, and ALD-related LT listings respectively.

RESULTS

Of 15 981 subjects in NHANES database, weighted prevalence of harmful alcohol use was 17.7%, 29.3% in <35 years (G1) versus 16.9% in 35-64 years (G2) versus 5.1% in ≥65 years (G3). Alcohol use was about 11 and 4.7 folds higher in G1 and G2 versus G3, respectively. Male gender and Hispanic race associated with harmful alcohol use. Of 593 600 ALD admissions (5%, 77%, and 18% in G1-G3 respectively), acute on chronic liver failure (ACLF) occurred in 7.2%, (7.2 in G2 vs 6.7% in G1 and G3, P < 0.001). After controlling for other variables, ACLF development among ALD hospitalizations was higher by 14% and 10% in G1 and G2 versus G3, respectively. Female gender and Hispanic race were associated with increased ACLF risk by 8% and 17% respectively. Of 20,245 ALD LT listings (3.4%, 84.4%, and 12.2% in G1-G3 respectively), ACLF occurred in 28% candidates. Risk of severe (grade 2 or 3) ACLF was higher by about 1.7 fold in G1, 1.5 fold in females and 20% in Hispanics.

CONCLUSION

Young age, female gender, and Hispanic race are independently associated with ALD-related burden and ACLF in the United States. If these findings are validated in prospective studies, strategies will be needed to reduce alcohol use in high risk individuals to reduce burden from ALD.

Patients undergoing surgery for lumbar degenerative spinal disorders favor smartphone-based objective self-assessment over paper-based patient-reported outcome measures

BACKGROUND CONTEXT

Smartphone-based applications enable new prospects to monitor symptoms and assess functional outcome in patients with lumbar degenerative spinal disorders. However, little is known regarding patient acceptance and preference towards new modes of digital objective outcome assessment.

PURPOSE

To assess patient preference of an objective smartphone-based outcome measure compared to conventional paper-based subjective methods of outcome assessment.

STUDY DESIGN

Prospective observational cohort study.

PATIENT SAMPLE

Fourty-nine consecutive patients undergoing surgery for lumbar degenerative spinal disorder.

OUTCOME MEASURES

Patients completed a preference survey to assess different methods of outcome assessment. A 5-level Likert scale ranged from strong disagreement (2 points) over neutral (6 points) to strong agreement (10 points) was used.

METHODS

Patients self-determined their objective functional impairment using the 6-minute Walking Test application (6WT-app) and completed a set of paper-based patient-reported outcome measures (PROMs) before and 6 weeks after surgery. Patients were then asked to rate the methods of outcome assessment in terms of suitability, convenience, and responsiveness to their symptoms.

RESULTS

The majority of patients considered the 6WT-app a suitable instrument (median 8.0, interquartile range [IQR] 4.0). Patients found the 6WT more convenient (median 10.0, IQR 2.0) than the Zurich Claudication Questionnaire (ZCQ; median 8.0, IQR 4.0, p=.019) and Core Outcome Measure Index (COMI; median 8.0, IQR 4.0, p=.007). There was good agreement that the 6WT-app detects change in physical performance (8.0, IQR 4.0). 78 % of patients considered the 6WT superior in detecting differences in symptoms (vs. 22% for PROMs). Seventy-six percent of patients would select the 6WT over the other, 18% the ZCQ and 6% the COMI. Eighty-two percent of patients indicated their preference to use a smartphone app for the assessment and monitoring of their spine-related symptoms in the future.

CONCLUSIONS

Patients included in this study favored the smartphone-based evaluation of objective functional impairment over paper-based PROMs. Involving patients more actively by means of digital technology may increase patient compliance and satisfaction as well as diagnostic accuracy.