Non-routine Discharge Disposition Research Articles

Evaluating the atherosclerosis cardiovascular disease risk score in patients with brain metastases: Associations with overall survival and high-value care outcomes

ObjectiveBrain metastases (BM) constitute the most common intracranial tumor in adults. Prior literature indicates the 10-year atherosclerotic cardiovascular disease (ASCVD) risk score is associated with increased risk of cancer, potentially attributable to shared risk factors. Understanding the role of ASCVD risk scores in BM may help optimize their care and inform clinical decision-making. Our aim was to explore associations between ASCVD risk score in BM patients and their overall survival, hospital charges, and non-routine discharge disposition. MethodsElectronic medical records were reviewed to collect clinical data for BM patients undergoing surgery at a single institution (2017–2021). Regression analyses were performed accordingly and maximally selected rank statistics were employed to identify an optimal cutoff for ASCVD risk scores. The random survival forest (RSF) machine learning technique identified the most important variable associated with survival outcomes in BM patients. ResultsA total of 139 patients were included with average age 62.93±9.29 years, 48.2 % male, 25.2 % with high hospital charges, and 23.7 % experiencing non-routine discharge. Among these patients, 32.3 % had prior history of an ASCVD event, while 67.7 % did not. Overall, this cohort had an average 10-year ASCVD risk score of 12.51±12.98, indicating intermediate risk of ASCVD among all BM patients. On multivariate logistic regression, prior history of ASCVD was associated with higher odds of high hospital charges (OR=3.670, p=0.018), and higher ASCVD risk scores were associated with greater odds of non-routine discharge (OR=1.059, p=0.012). On the multivariate Cox regression model, higher ASCVD risk scores correlated with worse overall survival (HR=1.031, p=0.014). A threshold of 25.1 was identified for high-risk ASCVD scores. Patients with ASCVD scores >25.1 exhibited reduced overall survival in Kaplan-Meier analysis (p=0.015) and multivariate Cox regression (HR: 2.811, p=0.016). Notably, ASCVD risk scores were found to be the most important variable in predicting worse survival outcomes in BM patients compared to other established frailty indices. ConclusionThis study indicates higher ASCVD risk scores in BM patients are associated with worse overall survival. Integrating ASCVD assessment into clinical workflow may facilitate more informed risk-based decision-making.

A comparative analysis of the Trauma and Injury Severity Score and the Injury Severity Score in predicting high-value care outcomes in children with traumatic brain injury.

Predicting high-value care outcomes is crucial in managing pediatric traumatic brain injuries (TBIs), where timely and accurate prognostication can significantly influence treatment decisions and resource allocation. This study aimed to enhance understanding of how well scoring systems such as the Trauma and Injury Severity Score (TRISS) can forecast high-value care outcomes. Furthermore, the authors compared the predictive power of TRISS with the routinely used Injury Severity Score (ISS). The authors performed a retrospective review of their institutional database from June 2016 to June 2023 to identify cases of TBI based on a modified Centers for Disease Control and Prevention framework. Prolonged length of stay (LOS) was defined as a hospital stay falling into the upper quartile of the overall cohort. Discharge to an inpatient rehabilitation facility, acute care hospital, or foster care or death was defined as a nonroutine discharge disposition. Emergency department (ED) transfer to the intensive care unit (ICU) or operating room (OR) was defined as a proxy for severity of injuries. Multivariate logistic regression models were used to explore the association between ISS, TRISS, and high-value care outcomes. The DeLong test was used to assess the differences between the areas under the receiver operating characteristic curve (AUROCs). This study included 2705 patients with a mean age ± SD of 7.28 ± 5.46 years (63% male). In the overall cohort, 28% experienced prolonged LOS, 7% had a nonroutine discharge disposition from the hospital, and 23% were transferred to the ICU/OR from the ED. In multivariate regression models, both TRISS and ISS were correlated with higher odds of prolonged LOS, nonroutine discharge disposition, and transfer to the ICU/OR from the ED (all p < 0.001). TRISS had a significantly greater AUROC than ISS for nonroutine discharge disposition (0.883 vs 0.849, p < 0.001) and transfer to the ICU/OR (0.898 vs 0.887, p = 0.045), but this result was not significant for prolonged LOS (0.873 vs 0.880, p = 0.140). TRISS and ISS are effective tools for predicting high-value care outcomes in pediatric TBI. Utilizing these resources can assist healthcare providers in making informed, risk-adjusted predictions.

Hospital frailty risk score predicts high-value care outcomes following brain metastasis resection

ObjectiveBrain metastases (BM) are the most common adult intracranial tumors, representing a significant source of morbidity in patients with systemic malignancy. Frailty indices, including 11- and 5-factor modified frailty indices (mFI-11 and mFI-5), American Society of Anesthesiologists (ASA) physical status classification, and Charlson Comorbidity Index (CCI), have recently demonstrated an important role in predicting high-value care outcomes in neurosurgery. This study aims to investigate the efficacy of the newly developed Hospital Frailty Risk Score (HFRS) on postoperative outcomes in BM patients. MethodsAdult patients with BM treated surgically at a single institution were identified (2017–2019). HFRS was calculated using ICD-10 codes, and patients were subsequently separated into low (<5), intermediate (5−15), and high (>15) HFRS cohorts. Multivariate logistic regressions were utilized to identify associations between HFRS and complications, length of stay (LOS), hospital charges, and discharge disposition. Model discrimination was assessed using receiver operating characteristic (ROC) curves. ResultsA total of 356 patients (mean age: 61.81±11.63 years; 50.6 % female) were included. The mean±SD for HFRS, mFI-11, mFI-5, ASA, and CCI were 6.46±5.73, 1.31±1.24, 0.95±0.86, 2.94±0.48, and 8.69±2.07, respectively. On multivariate analysis, higher HFRS was significantly associated with greater complication rate (OR=1.10, p<0.001), extended LOS (OR=1.13, p<0.001), high hospital charges (OR=1.14, p<0.001), and nonroutine discharge disposition (OR=1.12, p<0.001), and comparing the ROC curves of mFI-11, mFI-5, ASA,and CCI, the predictive accuracy of HFRS was the most superior for all four outcomes assessed. ConclusionThe predictive ability of HFRS on BM resection outcomes may be superior than other frailty indices, offering a new avenue for routine preoperative frailty assessment and for managing postoperative expectations.

Physical Health-Related Quality of Life and Postsurgical Outcomes in Brain Tumor Resection Patients.

Background Patient-reported outcome measures (PROMs) have gained traction in assessing patients' health around surgery. Among these, the 29-item Patient-Reported Outcomes Measurement Information System (PROMIS-29) is a widely accepted tool for evaluating overall health, yet its applicability in cranial neurosurgery remains uncertain. Objective This study aimed to evaluate the predictive value of preoperative PROMIS-29 scores for postoperative outcomes in patients undergoing brain tumor resection. Materials and Methods We identified adult patients undergoing brain tumor resection at a single neurosurgical center between January 2018 and December 2021. We analyzed physical health (PH) summary scores to determine optimal thresholds for predicting length of stay (LOS), discharge disposition (DD), and 30-day readmission. Bivariate analyses were conducted to examine the distribution of PH scores based on patient characteristics. Multivariate logistic regression models were employed to assess the association between preoperative PH scores and short-term postoperative outcomes. Results Among 157 patients (mean age 55.4 years, 58.0% female), 14.6% exhibited low PH summary scores. Additionally, 5.7% experienced prolonged LOS, 37.6% had nonroutine DDs, and 19.1% were readmitted within 30 days. Bivariate analyses indicated that patients with low PH summary scores, indicating poorer baseline PH, were more likely to have malignant tumors, nonelective admissions, and adverse outcomes. In multivariate analysis, low PH summary scores independently predicted increased odds of prolonged LOS (odds ratio [OR] = 6.09, p = 0.003), nonroutine DD (OR = 4.25, p = 0.020), and 30-day readmission (OR = 3.93, p = 0.020). Conclusion The PROMIS-29 PH summary score serves as a valuable predictor of short-term postoperative outcomes in brain tumor patients. Integrating this score into clinical practice can enhance the ability to anticipate meaningful postoperative results.

Preoperative patient-reported physical health-related quality of life predicts short-term postoperative outcomes in brain tumor patients.

Patient-reported outcome measures (PROMs) are increasingly used to assess patients' perioperative health. The PROM Information System 29 (PROMIS-29) is a well-validated global health assessment instrument for patient physical health, though its utility in cranial neurosurgery is unclear. To investigate the utility of preoperative PROMIS-29 physical health (PH) summary scores in predicting postoperative outcomes in brain tumor patients. Adult brain tumor patients undergoing resection at a single institution (January 2018-December 2021) were identified and prospectively received PROMIS-29 surveys during pre-operative visits. PH summary scores were constructed and optimum prediction thresholds for length of stay (LOS), discharge disposition (DD), and 30-day readmission were approximated by finding the Youden index of the associated receiver operating characteristic curves. Bivariate analyses were used to study the distribution of low (z-score≤-1) versus high (z-score>-1) PH scores according to baseline characteristics. Logistic regression models quantified the association between preoperative PH summary scores and post-operative outcomes. A total of 157 brain tumor patients were identified (mean age 55.4±15.4 years; 58.0% female; mean PH score 45.5+10.5). Outcomes included prolonged LOS (24.8%), non-routine discharge disposition (37.6%), and 30-day readmission (19.1%). On bivariate analysis, patients with low PH scores were significantly more likely to be diagnosed with a high-grade tumor (69.6% vs 38.85%, p=0.010) and less likely to have elective surgery (34.8% vs 70.9%, p=0.002). Low PH score was associated with prolonged LOS (26.1% vs 22%, p<0.001), nonroutine discharge (73.9% vs 31.3%, p<0.001) and 30-day readmission (43.5% vs 14.9%, p=0.003). In multivariate analysis, low PH scores predicted greater LOS (odds ratio [OR]=6.09, p=0.003), nonroutine discharge (OR=4.25, p=0.020), and 30-day readmission (OR=3.93, p=0.020). The PROMIS-29 PH summary score predicts short-term postoperative outcomes in brain tumor patients and may be incorporated into prospective clinical workflows.

Older Adults with Epilepsy and COVID-19: Outcomes in a Multi-Hospital Health System

BackgroundCoronavirus disease 2019 (COVID-19) is associated with high rates of mortality and morbidity in older adults, especially those with pre-existing conditions. There is little work investigating how neurological conditions affect older adults with COVID-19. We aimed to compare in-hospital outcomes, including mortality, in older adults with and without epilepsy. MethodsThis retrospective study in a large multicenter New York health system included consecutive older patients (age ≥65 years) either with or without epilepsy who were admitted with COVID-19 between 3/2020-5/2021. Epilepsy was identified using a validated International Classification of Disease (ICD) and antiseizure medicationbased case definition. Univariate comparisons were calculated using Chi-square, Fisher's exact, Mann-Whitney U, or Student's t-tests. Multivariable logistic regression models were generated to examine factors associated with mortality, discharge disposition and length of stay (LOS). ResultsWe identified 5384 older adults admitted with COVID-19 of whom 173 (3.21%) had epilepsy. Mean age was significantly lower in those with (75.44, standard deviation (SD): 7.23) compared to those without epilepsy (77.98, SD: 8.68, p=0.007). Older adults with epilepsy were more likely to be ventilated (35.84% vs. 16.18%, p<0.001), less likely to be discharged home (21.39% vs. 43.12%, p<0.001), had longer median LOS (13 days vs. 8 days, p<0.001), and had higher in-hospital death (35.84% vs. 28.29%, p=0.030) compared to those without epilepsy. Epilepsy in older adults was associated with increased odds of in-hospital death (adjusted odds ratio (aOR), 1.55; 95% CI 1.12-2.14, p=0.032), non-routine discharge disposition (aOR, 3.34; 95% CI 2.21-5.03, p<0.001), and longer LOS (46.46% 95% CI 34%-59%, p<0.001). ConclusionsIn models that adjusted for multiple confounders including comorbidity and age, our study found that epilepsy was still associated with higher in-hospital mortality, longer LOS and worse discharge dispositions in older adults with COVID-19 higher in-hospital mortality, longer LOS and worse discharge dispositions in older adults with COVID-19. This work reinforces that epilepsy is a risk factor for worse outcomes in older adults admitted with COVID-19. Timely identification and treatment of COVID-19 in epilepsy may improve outcomes in older people with epilepsy.

Rett Syndrome-Associated Scoliosis: Analysis of National Trends and Treatment Patterns of a Rare Indication for Posterior Instrumented Fusion.

Retrospective database cohort study. To evaluate U.S. treatment trends and inpatient outcomes for children undergoing posterior spinal fusion (PSF) for Rett syndrome (RTT)-associated scoliosis (RAS). RTT is a rare, sporadic neurodevelopmental disorder presenting in childhood with developmental regression, ataxia, and seizures. RAS occurs in 50% to 80% of cases of RTT, but little is known about the case volume and perioperative experience for children undergoing PSF. Using the International Classification of Diseases Ninth and 10th revision codes in the national Kids' Inpatient Database, we identified children with RTT who underwent PSF from 2000 to 2019. Annual case volumes were analyzed. Clinical characteristics and outcomes were compared with those of a cohort of patients with neuromuscular scoliosis (NMS). Among 220 patients with RAS, 216 (98.2%) were females (mean age at surgery: 12.3±3.3yr). Surgical case incidence steadily increased over 19 years, with more RAS admissions in the South (31.4%). Overall, patients with RAS demonstrated a higher mean Elixhauser Comorbidity Index score (2 vs . 1, P < 0.001) and had more perioperative complications (41.4% vs . 18%, P < 0.001) than patients with NMS. RTT diagnosis independently predicted higher odds of any complications (odds ratio: 1.98, P < 0.001) and increased length of stay (odds ratio: 1.18, P = 0.009) for admissions for PSF. Surgical treatment for RAS is rare but increased over a 19-year period. Cases appear to be clustering by region, with the highest proportion in the South. The higher Elixhauser Comorbidity Index in RAS patients predicted higher costs, longer hospital stays, more complications (particularly respiratory), and more nonroutine discharge disposition than in other patients with NMS. RTT was independently associated with higher odds of complications and longer length of stay. Because RAS cases appear to be increasing in number, future studies should emphasize methods to reduce morbidity and investigate deformity-specific metrics to help better understand this population.

622 Differences in Healthcare Resource Utilization After Surgery for Metastatic Spinal Column Tumors in Safety-Net Hospitals

INTRODUCTION: Safety Net Hospitals (SNH) are those which serve an especially high proportion of Medicaid, uninsured, and charity care patients, though few have studied the impact of SNH status on healthcare resource utilization for patients with metastatic spinal column tumors. METHODS: A retrospective cohort study was performed using the 2016-2019 National Inpatient Sample database. Adult patients undergoing surgery for metastatic spinal column tumors were identified using ICD-10-CM codes. Admissions were dichotomized by SNH status, defined as the top quartile of Medicaid and uninsured burden. Hospital characteristics, patient demographics, comorbidities, intraoperative variables, and outcomes were assessed. Multivariate logistic regression analyses were used to identify predictors of extended LOS, non-routine discharge, and increased cost. RESULTS: Of the 11,505 patients identified, 24.0% (n = 2,760) were treated at a SNH and 76.0% (n = 8,745) were treated at a Non-SNH (N-SNH). Compared to patients treated at N-SNH, a greater proportion of patients at SNH were African American, male, and of lower income quartile. Number of comorbidities (p = 0.324), intraoperative complications (p = 0.488) and postoperative complications (p = 0.064) were similar between cohorts. Patients treated at SNH typically experienced greater LOS (SNH: 12.3 ± 11.3 days vs. N-SNH: 10.1 ± 9.5 days, p&lt;0.001), though total cost of admission (SNH: $58,804 ± 39,088 vs. N-SNH: $54,569 ± 36,781, p = 0.550), non-routine discharge disposition (SNH: 48.2% vs. N-SNH: 48.4%, p = 0.715) and mortality rate (SNH: 3.1% vs. N-SNH: 2.7%, p = 0.629) were similar. On multivariate analysis, SNH status independently predicted extended LOS [OR: 1.41, p = 0.009], but not non-routine discharge [OR: 0.97, p = 0.773] or increased cost [OR: 0.93, p = 0.655]. CONCLUSIONS: Our study suggests that the quality of care provided by SNH is largely similar to that provided by non-SNH for patients undergoing surgical intervention of metastatic spinal column tumors

Machine Learning Models for Predicting Postoperative Outcomes following Skull Base Meningioma Surgery.

Objective While predictive analytic techniques have been used to analyze meningioma postoperative outcomes, to our knowledge, there have been no studies that have investigated the utility of machine learning (ML) models in prognosticating outcomes among skull base meningioma patients. The present study aimed to develop models for predicting postoperative outcomes among skull base meningioma patients, specifically prolonged hospital length of stay (LOS), nonroutine discharge disposition, and high hospital charges. We also validated the predictive performance of our models on out-of-sample testing data. Methods Patients who underwent skull base meningioma surgery between 2016 and 2019 at an academic institution were included in our study. Prolonged hospital LOS and high hospital charges were defined as >4 days and >$47,887, respectively. Elastic net logistic regression algorithms were trained to predict postoperative outcomes using 70% of available data, and their predictive performance was evaluated on the remaining 30%. Results A total of 265 patients were included in our final analysis. Our cohort was majority female (77.7%) and Caucasian (63.4%). Elastic net logistic regression algorithms predicting prolonged LOS, nonroutine discharge, and high hospital charges achieved areas under the receiver operating characteristic curve of 0.798, 0.752, and 0.592, respectively. Further, all models were adequately calibrated as determined by the Spiegelhalter Z -test ( p >0.05). Conclusion Our study developed models predicting prolonged hospital LOS, nonroutine discharge disposition, and high hospital charges among skull base meningioma patients. Our models highlight the utility of ML as a tool to aid skull base surgeons in providing high-value health care and optimizing clinical workflows.

Leveraging HFRS to assess how frailty affects healthcare resource utilization after elective ACDF for CSM

BACKGROUND CONTEXTFrailty is a common comorbidity associated with worsening outcomes in various medical and surgical fields. The Hospital Frailty Risk Score (HFRS) is a recently developed tool which assesses frailty using 109 International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) comorbidity codes to assess severity of frailty. However, there is a paucity of studies utilizing the HFRS with patients undergoing anterior cervical discectomy and fusion (ACDF) for cervical spondylotic myelopathy (CSM). PURPOSEThe aim of this study was to investigate the impact of HFRS on health care resource utilization following ACDF for CSM. STUDY DESIGNA retrospective cohort study was performed using the Nationwide Inpatient Sample (NIS) database from 2016-2019. PATIENT SAMPLEAll adult (≥18 years old) patients undergoing primary, ACDF for CSM were identified using the ICD-10 CM codes. OUTCOME MEASURESWeighted patient demographics, comorbidities, perioperative complications, LOS, discharge disposition, and total admission costs were assessed. METHODSThe 109 ICD-10 codes with pre-assigned values from 0.1 to 7.1 pertaining to frailty were queried in each patient, with a cumulative HFRS ≥5 indicating a frail patient. Patients were then categorized as either Low HFRS (HFRS<5) or Moderate to High HFRS (HFRS≥5). A multivariate stepwise logistic regression was used to determine the odds ratio for risk-adjusted extended LOS, non-routine discharge disposition, and increased hospital cost. RESULTSA total of 29,305 patients were identified, of which 3,135 (10.7%) had a Moderate to High HFRS. Patients with a Moderate to High HFRS had higher rates of 1 or more postoperative complications (Low HFRS: 9.5% vs. Moderate-High HFRS: 38.6%, p≤.001), significantly longer hospital stays (Low HFRS: 1.8±1.7 days vs. Moderate-High HFRS: 4.4 ± 6.0, p≤.001), higher rates of non-routine discharge (Low HFRS: 5.8% vs. Moderate-High HFRS: 28.2%, p≤.001), and increased total cost of admission (Low HFRS: $19,691±9,740 vs. Moderate-High HFRS: $26,935±22,824, p≤.001) than patients in the Low HFRS cohort. On multivariate analysis, Moderate to High HFRS was found to be a significant independent predictor for extended LOS [OR: 3.19, 95% CI: (2.60, 3.91), p≤.001] and non-routine discharge disposition [OR: 3.88, 95% CI: (3.05, 4.95), p≤.001] but not increased cost [OR: 1.10, 95% CI: (0.87, 1.40), p=.418]. CONCLUSIONSOur study suggests that patients with a higher HFRS have increased total hospital costs, a longer LOS, higher complication rates, and more frequent nonroutine discharge compared with patients with a low HFRS following elective ACDF for CSM. Although frail patients should not be precluded from surgical management of cervical spine pathology, these findings highlight the need for peri-operative protocols to medically optimize patients to improve health care quality and decrease costs.

Worse cranial neurosurgical outcomes predicted by increasing frailty in patients with interhospital transfer status: Analysis of 47,736 patients from the National Surgical Quality Improvement Program (NSQIP) 2015–2019

IntroductionWith limited healthcare resources and risks associated with unwarranted interhospital transfers (IHT), it is important to select patients most likely to have improved outcomes with IHT. The present study analyzed the effect of IHT and frailty on postoperative outcomes in a large database of patients who underwent cranial neurosurgical operations. MethodsThe National Surgical Quality Improvement Program (NSQIP) database was queried for patients who underwent cranial neurosurgical procedures (2015–2019, N = 47,736). Baseline demographics, clinical characteristics, and outcome variables were compared between IHT and n-IHT patients. Univariate and multivariable analyses analyzed the effect of IHT status on postoperative outcomes and the utility of frailty (modified frailty index-5 [mFI-5] stratified into “pre-frail, “frail”, and “severely frail”) as a preoperative risk factor. Effect sizes from regression analyses were presented as odds ratio (OR) with associated 95% confidence intervals (95% CI). ResultsOf 47,736 patients with cranial neurosurgical operations, 9612 (20.1%) were IHT. Patients with IHT were older, frailer, with a higher rate of functional dependence. In multivariable analysis adjusted for baseline covariates, IHT status was independent associated with 30-day mortality (OR: 2.0, 95% CI: 1.2–3.6), major complication (OR: 1.5, 95% CI: 1.1–2.1), extended hospital length of stay (eLOS) (OR: 3.8, 95% CI: 3.6–4.1), and non-routine discharge disposition (OR: 2.4, 95% CI: 1.8–3.2) (all p < 0.05). Within the IHT cohort, increasing frailty (“pre-frail”, “frail”, “severely frail”) was independently associated with increasing odds of 30-day mortality (OR: 1.4, 1.9, 3.9), major complication (OR: 1.4, 1.9, 3.3), unplanned readmission (OR: 1.1, 1.4, 2.1), reoperation (OR: 1.3, 1.5, 1.9), eLOS (OR: 1.2, 1.3, 1.5), and non-routine discharge (OR: 1.4, 1.9, 4.4) (all p < 0.05). All levels of frailty were more strongly associated with postoperative outcomes than chronological age. ConclusionsThis novel analysis suggests that patients transferred for cranial neurosurgery operations are significantly more likely to have worse postoperative health outcomes. Furthermore, the analysis suggests that frailty (as measured by mFI-5) is a powerful independent predictor of outcomes in transferred cranial neurosurgery patients. The findings support the use of frailty scoring in the pre-transfer and preoperative setting for patient counseling and risk stratification.

Novel Predictive Models for High-Value Care Outcomes Following Glioblastoma Resection

Treating patients with glioblastoma (GBM) requires extensive medical infrastructure. Individualized risk assessment for extended length of stay (LOS), nonroutine discharge disposition, and increased total hospital charges is critical to optimize delivery of care. Our study sought to develop predictive models identifying independent risk factors for these outcomes. We retrospectively reviewed patients undergoing GBM resection at our institution between January 2017 and September 2020. Extended LOS and elevated hospital charges were defined as values in the upper quartile of the cohort. Nonroutine discharge was defined as any disposition other than to home. Multivariate models for each outcome included covariates demonstrating P ≤ 0.10 on bivariate analysis. We identified 265 patients undergoing GBM resection, with an average age of 58.2 years. 24.5% of patients experienced extended LOS, 22.6% underwent nonroutine discharge, and 24.9% incurred elevated total hospital charges. Decreasing Karnofsky Performance Status (KPS) (P= 0.004), increasing modified 5-factor frailty (mFI-5) index (P= 0.012), lower surgeon experience (P= 0.005), emergent surgery (P < 0.0001), and larger tumor volume (P < 0.0001) predicted extended LOS. Independent predictors of nonroutine discharge included older age (P= 0.02), decreasing KPS (P < 0.0001), and emergent surgery (P= 0.048). Nonprivate insurance (P= 0.011), decreasing KPS (P= 0.029), emergent surgery (P < 0.0001), and larger tumor volume (P= 0.004) predicted elevated hospital charges. These models were incorporated into an open-access online calculator (https://neurooncsurgery3.shinyapps.io/gbm_calculator/). Several factors were independent predictors for at least 1 high-value care outcome, with lower KPS and emergent admission associated with each outcome. These models and our calculator may help clinicians provide individualized postoperative risk assessment to glioblastoma patients.

POSB419 Total Knee Arthroplasty: Do Outcomes Differ By Implant Design in the Real World?

Clinical trials examining the effect of total knee arthroplasty (TKA) implant design on clinical, functional, and utilization outcomes have yielded conflicting Results: Our objective was to evaluate the effect of single-radius (SR) vs. multi-radius (MR) implant design on those outcomes for TKA patients in the real-world setting. Clinical data collected over a 4-year period from a large medical institution in the OMNY Medical Device Database was used to identify patient encounters where unilateral TKA was performed. A representative implant system was chosen for SR and MR implant designs, and patients were grouped into respective cohorts. Point estimates and measures of variability were generated for clinical (mortality, postoperative knee pain, postoperative implant removal), functional (non-routine discharge disposition), and utilization outcomes (gross charges [$]; length of stay [LOS]). We divided 1464 patients into SR (N=1135) and MR (N=329) cohorts. Distributions of age, gender, race, and employment status were similar between cohorts. Clinical and functional outcomes were similar between SR and MR cohorts: mortality (% [95% confidence interval]: 1.1% [0.6% - 2.0%] vs 0.3% [0.0% - 2.0%]), postoperative knee pain (0.6% [0.2% - 1.3%] vs 1.2% [0.4% - 3.3%]), postoperative implant removal (0.4% [0.2% - 1.1%] vs 0.0% [0.0% - 1.4%]), non-routine discharge disposition (16.4% [14.3% - 18.7%] vs 16.4% [12.7% - 21.0%]). Utilization was similar between SR and MR cohorts for LOS (mean [SD]: 0.98 [1.38] vs 0.96 [1.53]), while gross charges were slightly higher for the SR cohort (median [Q1, Q3]: $43,879 [$39,392 - $51,851] vs. $39,255 [$35,778 - $42,599]). Clinical and functional outcomes were similar for patients undergoing TKA using two popular knee implant designs; the SR cohort incurred slightly higher charges than the MR cohort, but this may be specific to the chosen systems. Further research is needed to determine drivers of cost differences and to better characterize outcomes in patients undergoing TKA.

Predicting High-Value Care Outcomes After Surgery for Non–Skull Base Meningiomas

A need exists to better understand the prognostic factors that influence high-value care outcomes after meningioma surgery. The goal of the present study was to develop predictive models to determine the patients at risk of experiencing an extended hospital length of stay (LOS), nonroutine discharge disposition, and/or a 90-day hospital readmission after non-skull base meningioma resection. In the present study, we analyzed the data from 396 patients who had undergone surgical resection of non-skull base meningiomas at a single institution between January 1, 2005 and December 31, 2020. The Mann-Whitney U test was used for bivariate analysis of the continuous variables and the Fisher exact test for bivariate analysis of the categorical variables. A multivariate analysis was conducted using logistic regression models. Most patients had had a falcine or parasagittal meningioma (66.2%), with the remainder having convexity (31.8%) or intraventricular (2.0%) tumors. Nonelective surgery (P < 0.0001) and an increased tumor volume (P= 0.0022) were significantly associated with a LOS >4 days on multivariate analysis. The independent predictors of a nonroutine discharge disposition included male sex (P= 0.0090), nonmarried status (P= 0.024), nonelective surgery (P= 0.0067), tumor location within the parasagittal or intraventricular region (P= 0.0084), and an increased modified frailty index score (P= 0.039). Hospital readmission within 90 days was independently associated with nonprivate insurance (P= 0.010) and nonmarried status (P= 0.0081). Three models predicting for a prolonged LOS, nonroutine discharge disposition, and 90-day readmission were implemented in the form of an open-access, online calculator (available at: https://neurooncsurgery3.shinyapps.io/non_skull_base_meningiomas/). After external validation, our open-access, online calculator could be useful for assessing the likelihood of adverse postoperative outcomes for patients undergoing surgery of non-skull base meningioma.

Venous Injury in Patients with Blunt Traumatic Brain Injury: Retrospective Analysis of a National Cohort.

Cerebral venous injury (CVI) includes injury to a dural venous sinus or major vein and leads to poorer outcomes for patients with blunt traumatic brain injury (TBI). We sought to identify the incidence, associated factors, and outcomes associated with CVI in a large national cohort. Adult patients with blunt TBI were identified from the National Trauma Databank (2013-2017). Outcomes included inpatient mortality, discharge disposition, stroke, length of stay (LOS), intensive care unit LOS, and duration of mechanical ventilation. Multivariate regression models were used to identify the association between exposure variables and CVI, as well as each outcome. There were 619,659 patients with blunt TBI who met the inclusion criteria. CVI occurred in 1792 (0.3%) patients. Mixed intracranial injury type had the strongest association with CVI (odds ratio [OR] 2.89, 95% confidence interval [CI] 2.38-3.50), followed by isolated TBI (OR 1.76, 95% CI 1.54-2.02) and skull fracture (OR 1.72, 95% CI 1.55-1.91). CVI was associated with increased odds of mortality (OR 1.38, 95% CI 1.19-1.60), nonroutine discharge (OR 1.26, 95% CI 1.12-1.40), and stroke (OR 1.95, 95% CI 1.33-2.86). It was also associated with longer LOS (β 2.02, 95% CI 1.55-2.50) and intensive care unit LOS (β 0.14, 95% CI 0.13-0.16). Among locations of venous injury, superior sagittal sinus injury had significant associations with mortality (OR 2.93, 95% CI 1.62-5.30) and nonroutine discharge disposition (OR 1.94, 95% CI 1.12-3.35), whereas the others did not. We identified a 0.3% incidence of CVI in all-comers with blunt TBI as well as several injury-related variables that may be used to guide investigation for dural venous sinus injury. CVI was associated with poorer outcomes, with superior sagittal sinus injury having the strongest association.

Independent Association of Obesity and Nonroutine Discharge Disposition After Elective Anterior Cervical Discectomy and Fusion for Cervical Spondylotic Myelopathy

The prevalence of obesity continues to rise in the United States at a disparaging rate. Although previous studies have attempted to identify the influence obesity has on short-term outcomes following elective spine surgery, few studies have assessed the impact on discharge disposition following anterior cervical discectomy and fusion (ACDF) for cervical spondylotic myelopathy (CSM). The aim of this study was to determine whether obesity impacts the hospital management, cost, and discharge disposition after elective ACDF for adult CSM. The National Inpatient Sample database was queried using the International Classification of Diseases, 10th revision, Clinical Modification, coding system to identify all (≥18 years) patients with a primary diagnosis of CSM undergoing an elective ACDF for the years 2016 and 2017. Discharge weights were used to estimate national demographics, Elixhauser comorbidities, complications, length of stay, total cost of admission, and discharge disposition. There were 17,385 patients included in the study, of whom 3035 (17.4%) had obesity (no obesity: 14,350; obesity: 3035). The cohort with obesity had a significantly greater proportion of patients with 3 or more comorbidities compared with the cohort with no obesity (no obesity: 28.1% vs. obesity: 43.5%, P < 0.001). The overall complication rates were greater in the cohort with obesity (no obesity: 10.3% vs. obesity: 14.3%, P= 0.003). On average, the cohort with obesity incurred a total cost of admission $1154 greater than the cost of the cohort with no obesity (no obesity: $19,732 ± 11,605 vs. obesity: $20,886 ± 10,883, P= 0.034) and a significantly greater proportion of nonroutine discharges (no obesity: 16.6% vs. obesity: 24.2%, P < 0.001). In multivariate regression analysis, obesity, age, race, health care coverage, hospital bed size, region, comorbidity, and complication rates all were independently associated with nonroutine discharge disposition. Our study demonstrates that obesity is an independent predictor for nonroutine discharge disposition following elective anterior cervical discectomy and fusion for cervical spondylotic myelopathy.

Race Is an Independent Predictor for Nonroutine Discharges After Spine Surgery for Spinal Intradural/Cord Tumors

The aim of this study was to determine if race was an independent predictor of extended length of stay (LOS), nonroutine discharge, and increased health care costs after surgery for spinal intradural/cord tumors. A retrospective cohort study was performed using the National Inpatient Sample database from 2016 to 2017. All adult (>18 years old) inpatients who underwent surgical intervention for a benign or malignant spinal intradural/cord tumor were identified using International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis and procedural coding systems. Patients were then categorized based on race: White, African American (AA), Hispanic, and other. Postoperative complications, LOS, discharge disposition, and total cost of hospitalization were assessed. A backward stepwise multivariable logistic regression analysis was used to identify independent predictors of extended LOS and nonroutine discharge disposition. Of 3595 patients identified, there were 2620 (72.9%) whites (W), 310 (8.6%) AAs/blacks, 275 (7.6%) Hispanic (H), and 390 (10.8%) other (O). Postoperative complication rates were similar among the cohorts (P= 0.887). AAs had longer mean (W, 5.4 ± 4.2 days vs. AA, 8.9 ± 9.5 days vs. H, 5.9 ± 3.9 days vs. O, 6.1 ± 3.9 days; P= 0.014) length of hospitalizations than the other cohorts. The overall incidence of nonroutine discharge was 55% (n= 1979), with AA race having the highest rate of nonroutine discharges (W, 53.8% vs. AA, 74.2% vs. H, 45.5% vs. O, 43.6%; P= 0.016). On multivariate regression analysis, AA race was the only significant racial independent predictor of nonroutine discharge disposition (odds ratio, 3.32; confidence interval, 1.67-6.60; P < 0.001), but not extended LOS (P= 0.209). Our study indicates that AA race is an independent predictor of nonroutine discharge disposition in patients undergoing surgical intervention for a spinal intradural/cord tumor.

Predicting High-Value Care Outcomes After Surgery for Skull Base Meningiomas

Although various predictors of adverse postoperative outcomes among patients with meningioma have been established, research has yet to develop a method for consolidating these findings to allow for predictions of adverse health care outcomes for patients diagnosed with skull base meningiomas. The objective of the present study was to develop 3 predictive algorithms that can be used to estimate an individual patient's probability of extended length of stay (LOS) in hospital, experiencing a nonroutine discharge disposition, or incurring high hospital charges after surgical resection of a skull base meningioma. The present study used data from patients who underwent surgical resection for skull base meningiomas at a single academic institution between 2017 and 2019. Multivariate logistic regression analysis was used to predict extended LOS, nonroutine discharge, and high hospital charges, and 2000 bootstrapped samples were used to calculate an optimism-corrected C-statistic. The Hosmer-Lemeshow test was used to assess model calibration, and P < 0.05 was considered statistically significant. A total of 245 patients were included in our analysis. Our cohort was mostly female (77.6%) and white (62.4%). Our models predicting extended LOS, nonroutine discharge, and high hospital charges had optimism-corrected C-statistics of 0.768, 0.784, and 0.783, respectively. All models showed adequate calibration (P>0.05), and were deployed via an open-access, online calculator: https://neurooncsurgery3.shinyapps.io/high_value_skull_base_calc/. After external validation, our predictive models have the potential to aid clinicians in providing patients with individualized risk estimation for health care outcomes after meningioma surgery.

Body mass index and clinical outcomes in patients with intracerebral haemorrhage: results from the China Stroke Center Alliance

Background and aimObesity paradox has aroused increasing concern in recent years. However, impact of obesity on outcomes in intracerebral haemorrhage (ICH) remains unclear. This study aimed to evaluate association of...

In Reply to the Letter to the Editor Regarding “Predictors of Nonroutine Discharge Disposition Among Parasagittal/Parafalcine Meningioma Patients”

In Reply to the Letter to the Editor Regarding “Predictors of Nonroutine Discharge Disposition Among Parasagittal/Parafalcine Meningioma Patients”