Citations

OBJECTIVE Combinations of certain social risk factors of race, sex, education, socioeconomic status (SES), insurance, education, employment, and one’s housing situation have been associated with poorer pain and disability outcomes after lumbar spine surgery. To date, an exploration of such factors in patients with cervical spine surgery has not been conducted. The objective of the current work was to 1) define the social risk phenotypes of individuals who have undergone cervical spine surgery for myelopathy and 2) analyze their predictive capacity toward disability, pain, quality of life, and patient satisfaction–based outcomes. METHODS The Cervical Myelopathy Quality Outcomes Database was queried for the period from January 2016 to December 2018. Race/ethnicity, educational attainment, SES, insurance payer, and employment status were modeled into unique social phenotypes using latent class analyses. Proportions of social groups were analyzed for demonstrating a minimal clinically important difference (MCID) of 30% from baseline for disability, neck and arm pain, quality of life, and patient satisfaction at the 3-month and 1-year follow-ups. RESULTS A total of 730 individuals who had undergone cervical myelopathy surgery were included in the final cohort. Latent class analysis identified 2 subgroups: 1) high risk (non-White race and ethnicity, lower educational attainment, not working, poor insurance, and predominantly lower SES), n = 268, 36.7% (class 1); and 2) low risk (White, employed with good insurance, and higher education and SES), n = 462, 63.3% (class 2). For both 3-month and 1-year outcomes, the high-risk group (class 1) had decreased odds (all p < 0.05) of attaining an MCID score in disability, neck/arm pain, and health-related quality of life. Being in the low-risk group (class 2) resulted in an increased odds of attaining an MCID score in disability, neck/arm pain, and health-related quality of life. Neither group had increased or decreased odds of being satisfied with surgery. CONCLUSIONS Although 2 groups underwent similar surgical approaches, the social phenotype involving non-White race/ethnicity, poor insurance, lower SES, and poor employment did not meet MCIDs for a variety of outcome measures. This finding should prompt surgeons to proactively incorporate socially conscience care pathways within healthcare systems, as well as to optimize community-based resources to improve outcomes and personalize care for populations at social risk.

Abstract Alcohol use disorder (AUD) is a chronic relapsing brain disorder characterized by an impaired ability to stop or control alcohol consumption despite adverse social, occupational, or health consequences. AUD affects nearly one-third of adults at some point during their lives, with an associated cost of approximately $249 billion annually in the U.S. alone. The effects of alcohol consumption are expected to increase significantly during the COVID-19 pandemic, with alcohol sales increased by approximately 54%, potentially exacerbating health concerns and risk-taking behaviors. Unfortunately, existing pharmacological and behavioral therapies for AUD have historically been associated with poor success rates, with approximately 40% of individuals relapsing within three years of treatment. Pre-clinical studies have shown that chronic alcohol consumption leads to significant changes in synaptic function within the dorsal medial striatum (DMS), one of the brain regions associated with AUD and responsible for mediating goal-directed behavior. Specifically, chronic alcohol consumption has been associated with hyperactivity of dopamine receptor 1 (D1) medium spiny neurons (MSN) and hypoactivity of dopamine receptor 2 (D1) MSNs within the DMS. Optogenetic, chemogenetic, and transgenic approaches have demonstrated that reducing the D1/D2 MSN signaling imbalance decreases alcohol self-administration in rodent models of AUD. Here, we present an electrical stimulation approach that uses ultra-low (≤ 1Hz) frequency (ULF) spike-timing dependent plasticity (STDP) in mouse models of AUD to reduce DMS D1/D2 MSN signaling imbalances by stimulating D1-MSN afferents into the GPi and ACC glutamatergic projections to the DMS in a time-locked stimulation sequence. Our data suggest that GPi/ACC ULF-STDP selectively decreases DMS D1-MSN hyperactivity leading to reduced alcohol consumption without evoking undesired affective behaviors using electrical stimulation rather than approaches requiring genetic modification. This work represents a step towards fulfilling the unmet need for a reliable method of treating severe AUD through cell-type specific control with clinically available neuromodulation tools.

277 Background: The prognostic importance of local failure (LF) after definitive radiotherapy (RT) in patients with NCCN intermediate- (IRPCa) and high-risk prostate cancer (HRPCa) remains unclear, particularly given the likelihood that occult distant metastases (DMs) at presentation may be the true driver of natural history. Here, we leverage individual patient data (IPD) from 18 randomized control trials (RCTs) to evaluate the prognostic impact of LF and the kinetics of DM after RT. Methods: IPD for 18 RCTs were obtained from the Meta-Analysis of Randomized trials in Cancer of the Prostate (MARCAP) Consortium, comprising a total of 12533 patients (6288 HRPCa & 6245 IRPCa). Multivariable Cox proportional hazards (PH) models were developed to evaluate the relationship between overall survival (OS), PCa-specific survival (PCSS), DM-free survival (DMFS) & LF as a time-dependent covariate, adjusted for clinicodemographic parameters. Markov PH models, defined via transitions between 4 states, were developed to evaluate the aforementioned relationship. Proportional hazards assumption was imposed and examined for both models. Time is from randomization. Results: Median follow-up was 9.1 years. There were 795 (13%) LF & 1288 (21%) DM events for patients with HRPCa; these numbers were 449 (7%) & 451 (7%) for IRPCa. For HRPCa & IRPCa, 81% and 81% of DMs developed from a clinically relapse-free state (cRFS), with a median time of 46 and 60 months, respectively (p < 0.0001). 39% & 13% of DM events occurred within 2 years after RT for HRPCa & IRPCa, respectively. At later time points, DM events were more likely to emerge after an LF event for both HRPCa (9% vs. 34% between 0-2 vs. 8-10 years post-RT, p = 0.001) and IRPCa (10% vs. 34% between 0-2 vs. 8-10 years post-RT, p = 0.008). LF was significantly associated with OS (hazard ratio [HR] 1.17, 95% confidence interval [CI] 1.06–1.30), PCSS (HR 2.02, 95% CI 1.75-2.33) & DMFS (HR 1.94, 95% CI 1.75–2.15) (p < 0.01 for all) in patients with HRPCa. LF was also significantly associated with DMFS (HR 1.57, 95% CI 1.36–1.81) but not OS in patients with IRPCa. Patients who had not transitioned to the LF state had a significantly lower HR of transitioning to a PCa-specific death state than those who transitioned to the LF state (HR 0.32, 95% CI 0.21–0.50, p < 0.001). Conclusions: LF is an independent prognosticator of OS, PCSS & DMFS in HRPCa and of DMFS in IRPCa. The predominant mode of DM development is from the cRFS state, underscoring the importance of accurate upfront staging & systemic therapy. However, particularly at late time points, an increasing proportion of DM events originated after diagnosis of a LF, constituting a “second wave” of DM events. This suggests that optimizing local control is also important, though the majority of DM events appear prior to a clinically-detected LF.

OBJECTIVE The Hospital Frailty Risk Score (HFRS) was developed utilizing ICD-10 diagnostic codes to identify frailty and predict adverse outcomes in large national databases. While other studies have examined frailty in spine oncology, the HFRS has not been assessed in this patient population. The aim of this study was to examine the association of HFRS-defined frailty with complication rates, length of stay (LOS), total cost of hospital admission, and discharge disposition in patients undergoing spine surgery for metastatic spinal column tumors. METHODS A retrospective cohort study was performed using the years 2016 to 2019 of the National Inpatient Sample (NIS) database. All adult patients (≥ 18 years old) undergoing surgical intervention for metastatic spinal column tumors were identified using the ICD-10-CM diagnostic codes and Procedural Coding System. Patients were categorized into the following three cohorts based on their HFRS: low frailty (HFRS < 5), intermediate frailty (HFRS 5–15), and high frailty (HFRS > 15). Patient demographics, comorbidities, treatment modality, perioperative complications, LOS, discharge disposition, and total cost of hospital admission were assessed. A multivariate logistic regression analysis was used to identify independent predictors of prolonged LOS, nonroutine discharge, and increased cost. RESULTS Of the 11,480 patients identified, 7085 (61.7%) were found to have low frailty, 4160 (36.2%) had intermediate frailty, and 235 (2.0%) had high frailty according to HFRS criteria. On average, age increased along with progressively worsening frailty scores (p ≤ 0.001). The proportion of patients in each cohort who experienced ≥ 1 postoperative complication significantly increased along with increasing frailty (low frailty: 29.2%; intermediate frailty: 53.8%; high frailty: 76.6%; p < 0.001). In addition, the mean LOS (low frailty: 7.9 ± 5.0 days; intermediate frailty: 14.4 ± 13.4 days; high frailty: 24.1 ± 18.6 days; p < 0.001), rate of nonroutine discharge (low frailty: 40.4%; intermediate frailty: 60.6%; high frailty: 70.2%; p < 0.001), and mean total cost of hospital admission (low frailty: $48,603 ± $29,979; intermediate frailty: $65,271 ± $43,110; high frailty: $96,116 ± $60,815; p < 0.001) each increased along with progressing frailty. On multivariate regression analysis, intermediate and high frailty were each found to be significant predictors of both prolonged LOS (intermediate: OR 3.75 [95% CI 2.96–4.75], p < 0.001; high: OR 7.33 [95% CI 3.47–15.51]; p < 0.001) and nonroutine discharge (intermediate: OR 2.05 [95% CI 1.68–2.51], p < 0.001; high: OR 5.06 [95% CI 1.93–13.30], p = 0.001). CONCLUSIONS This study is the first to use the HFRS to assess the impact of frailty on perioperative outcomes in patients with metastatic bony spinal tumors. Among patients with metastatic bony spinal tumors, frailty assessed using the HFRS was associated with longer hospitalizations, more nonroutine discharges, and higher total hospital costs.

Introduction: Mechanical thrombectomy (MT) has become the standard of care for acute ischemic stroke (AIS) patients due to large vessel occlusion (LVO). Clinical outcome of successful recanalization (mTICI 2b or higher) varies greatly and is associated with some baseline characteristics. Many studies have reported the relation of thrombus composition with MT outcomes however the association of thrombus composition with the prognosis of successful recanalization remains to be elucidated. Hypothesis: thrombi retrieved from patients with good clinical outcome may have different compositions compared to that of patients with poor clinical outcome. Methods: Thrombi retrieved from AIS-LVO patients with successful recanalization were included. Patients were divided according to modified Rankin Scale at 90 days (mRS-90days) into good clinical outcome (mRS-90days 0-2) and poor clinical outcome (mRS-90 days 3-6). Representative slide for each thrombus was stained with Martius Scarlet Blue (MSB) for red blood cells (RBCs), white blood cells (WBCs), fibrin (FIB), and platelet (PLT). Immunohistochemistry (IHC) was also performed for NETs (anti-citrullinated H3; CitH3) and vWF in thrombi. The overall mean value of each thrombus composition was calculated. Thrombus was considered rich in given composition if that composition was higher than its overall mean. We compared the thrombus composition and type between patients with good and poor clinical outcomes. Results: A total of 94 patients were included. Fifty-six patients had good clinical outcome. The overall average percentage of RBCs, WBCs, fibrin, platelet, NETs (CitH3), and vWF components in thrombi were 44.3%, 3.6%, 29.3%, 22.8%, 20.3% and 12.5% respectively. There was no association between thrombus type (including RBC-rich, FIB-rich, PLT-rich, vWF-rich, and NETs-rich) and clinical outcomes (P values>0.05). Multivariate logistic regression analysis showed no association between thrombus composition and clinical outcome (good vs poor) while adjusting for age, initial NIHSS score, ASPECT score, pre-MT IV-tPA, and MT technique and number of the device passes. Conclusion: we found no association between thrombus composition and clinical outcome after successful recanalization.

Introduction: Outcomes of mechanical thrombectomy (MT) are influenced by the composition of thrombi. Amongst the risk factors affecting clot composition, diabetes mellitus (DM) may be associated with more thrombus structural and mechanical alterations resulting in fibrinolysis-resistant thrombi. However, extensive analysis of the composition of thrombi obtained from patients is needed to elucidate this relationship. Hypothesis: Thrombi retrieved from patients with DM may have different compositions compared to that of patients with no history of DM. Methods: MT retrieved-thrombi from patients suffering from large vessel occlusion (LVO) stroke were included. Thrombi sections were stained with Martius Scarlet Blue (MSB) for main thrombus components including red blood cells (RBCs), white blood cells (WBCs), fibrin and platelet. Additionally, immunohistochemistry (IHC) was performed to identify neutrophil extracellular traps (NETs) (anti-citrulinated H3; CitH3; NETs-specific marker) and von Willebrand Factor (vWF) in thrombi. Slides were then scanned and analyzed and the thrombus composition was compared between patients with or without a DM diagnosis at the time of stroke presentation. Results: A total of 140 patients were included of which 35 had a diagnosis of DM at stroke presentation. Baseline characteristics (excluding age), IV-tPA use prior to MT, and MT outcomes (number of device passes and final mTICI score) were similar between DM and non DM patients. The overall average percentage of RBCs, WBCs, fibrin, platelet, NETs (CitH3), and vWF components in thrombi were 47.4%, 3.2%, 27.4%, 21.8%, 25.9% and 17.6%, respectively. Thrombi from patients with DM were not statistically significant different from those of patients with no DM in terms of RBCs (44.3 vs 48.4 p=0.37), WBCs (2.7 vs 3.3 p=0.05), fibrin (29.5 vs 26.7 p=0.37), platelet (23.3 vs 21.3 p=0.57), NETs (25.6 vs 22.3 p=0.54), and vWF (17.5 vs 17.7 p=0.96). Conclusion: DM has no effect on the composition of thrombi as no significant difference was found in thrombi obtained from patients with and without DM.

Introduction: Ample evidence exists in support of the anti-inflammatory properties of statins which in turn could affect arterial thrombosis. Compositional analysis of thrombi retrieved by MT may provide us with knowledge useful for evaluating the effect of current Statin therapy on thrombus composition. Methods: Consecutive AIS-LVO patients were included. Histopathological evaluation of thrombi retrieved during MT was performed using Martius Scarlet Blue staining (MSB) and immunohistochemistry for von Willebrand Factor (vWF) and anti-citrulinated H3 (CitH3; NETs marker) and the composition of thrombi was determined using image analysis software. Thrombus was considered rich in a given composition if that composition was higher than its overall mean. We reviewed patient’s medication records and cataloged any statin therapy prior to MT. Results: 117 patients were included in this study. The mean density of red blood cells (RBCs), white blood cells (WBCs), platelets (PLT), fibrin (FIB), vWF and NETs (CitH3) in thrombi was 43.4%, 3.7%, 23.6%, 29.3%, 14.3% and 21.1% respectively. Twenty-seven patients were taking Statins at the time of MT. Statins were not associated with pre-thrombectomy IV-tPA, and stroke etiology (p values: >0.05). There was no association between Statins and thrombi composition and type (p values: >0.05 for all thrombus components and type). Additionally, Statins were not associated with MT outcomes including number of device passes and final mTICI score. Conclusion: Pre-stroke Statin therapy was not associated with differences in thrombus composition.

Introduction: Digital subtraction angiography (DSA) is currently the gold standard for evaluation of moyamoya disease (MMD) and is the basis for several grading systems. Non-invasive modalities such as MRA are also used in assessment of MMD. Accurate implementation of these staging systems for use with MRA would imply a less-invasive method of MMD monitoring. Methods: This was a single-center retrospective study that compared MRA to reference DSA studies in determining MMD severity using Berlin and modified Suzuki (mSG) grading systems A single reviewer assigned modified Suzuki and Berlin grades to all included hemispheres on both MRA and DSA. The mean difference between MRA and DSA grades for each DSA reference grade was determined utilizing both grading systems. The distribution of scores was also compared between MRA and DSA using both grading systems. Results: A total of 166 cerebral hemispheres in 90 patients were included: The mean age at MMD diagnosis was 34.8 years (standard deviation [SD] = 14.2), and fifty-three patients (63.9%) were male. Mean MRA grades were significantly lower than DSA reference grades 3 and 4 utilizing the mSG system (p = <0.0001 in both cases); A similar pattern was observed for Berlin grades 2 and 3 (p = <0.0001, Table 1 ). The distribution of modified Suzuki grades on MRA was skewed toward relatively lower grades as compared to DSA (p = <0.0001): This pattern was also true for Berlin grades as well (p = <0.0001, Table 2 ). Conclusions: DSA is essential in the evaluation of MMD, as MRA is shown to underestimate disease stage, with a greater degree of underestimation in more severe disease. We suggest DSA be performed in order to aid in appropriate treatment planning.