Improvements in functional outcomes, as defined by mJOA score, were correlated with changes in neck based disability and general health state, defined by NDI and EQ-5D respectively. In an adjusted model, however, these direct relationships were not maintained. A CD-specific HRQL might be more useful for surgeons in assessing patient outcomes using a single metric.
T cells continuously sample CNS-derived antigens in the periphery, yet it is unknown how they sample and respond to CNS antigens derived from distinct brain areas. We expressed ovalbumin (OVA) neoepitopes in regionally distinct CNS areas (Cnp-OVA and Nes-OVA mice) to test peripheral antigen sampling by OVA-specific T cells under homeostatic and neuroinflammatory conditions. We show that antigen sampling in the periphery is independent of regional origin of CNS antigens in both male and female mice. However, experimental autoimmune encephalomyelitis (EAE) is differentially influenced in Cnp-OVA and Nes-OVA female mice. Although there is the same frequency of CD45 CD11b+ CD11c+ CX3CL1+ myeloid cell-T-cell clusters in neoepitope-expressing areas, EAE is inhibited in Nes-OVA female mice and accelerated in CNP-OVA female mice. Accumulation of OVA-specific T cells and their immunomodulatory effects on EAE are CX3C chemokine receptor 1 (CX3CR1) dependent. These data show that despite similar levels of peripheral antigen sampling, CNS antigen-specific T cells differentially influence neuroinflammatory disease depending on the location of cognate antigens and the presence of CX3CL1/CX3CR1 signaling. Our data show that peripheral T cells similarly recognize neoepitopes independent of their origin within the CNS under homeostatic conditions. Contrastingly, during ongoing autoimmune neuroinflammation, neoepitope-specific T cells differentially influence clinical score and pathology based on the CNS regional location of the neoepitopes in a CX3CR1-dependent manner. Altogether, we propose a novel mechanism for how T cells respond to regionally distinct CNS derived antigens and contribute to CNS autoimmune pathology.
Study Design. Retrospective cohort study. Objective. The goals of this study were to (A) evaluate preoperative bone quality assessment and intervention practice over time and (B) review the current evidence for bone evaluation in spine fusion surgery. Summary of Background Data. Deformity spine surgery has demonstrated improved quality of life in patients; however, its cost has made it controversial. If preoperative bone quality can be optimized then potentially these treatments could be more durable; however, at present, no clinical practice guidelines have been published by professional spine surgical organizations. Methods. A retrospective cohort review was performed on patients who underwent a minimum five-level primary or revision fusion. Preoperative bone quality metrics were evaluated over time from 2012 to 2017 to find potential trends. Subgroup analysis was conducted based on age, sex, preoperative diagnosis, and spine fusion region. Results. Patient characteristics including preoperative rates of pseudarthrosis and junctional failure did not change. An increasing trend of physician bone health documentation was noted (P = 0.045) but changes in other metrics were not significant. A sex bias favored females who had higher rates of preoperative DXA studies (P = 0.001), Vitamin D 25-OH serum labs (P = 0.005), Vitamin D supplementation (P = 0.022), calcium supplementation (P < 0.001), antiresorptive therapy (P = 0.016), and surgeon clinical documentation of bone health (P = 0.008) compared with men. Conclusion. Our spine surgeons have increased documentation of bone health discussions but this has not affected bone quality interventions. A discrepancy exists favoring females over males in nearly all preoperative bone quality assessment metrics. Preoperative vitamin D level and BMD assessment should be considered in patients undergoing long fusion constructs; however, the data for bone anabolic and resorptive agents have less support. Clinical practice guidelines on preoperative bone quality assessment spine patients should be defined. Level of Evidence: 4
Study Design: Retrospective cohort study. Objective: To investigate radiological differences in lumbar disc herniations (herniated nucleus pulposus [HNP]) between patients receiving microscopic lumbar discectomy (MLD) and nonoperative patients. Methods: Patients with primary treatment for an HNP at a single academic institution between November 2012 to March 2017 were divided into MLD and nonoperative treatment groups. Using magnetic resonance imaging (MRI), axial HNP area; axial canal area; HNP canal compromise; HNP cephalad/caudal migration and HNP MRI signal (black, gray, or mixed) were measured. T test and chi-square analyses compared differences in the groups, binary logistic regression analysis determined odds ratios (ORs), and decision tree analysis compared the cutoff values for risk factors. Results: A total of 285 patients (78 MLD, 207 nonoperative) were included. Risk factors for MLD treatment included larger axial HNP area ( P < .01, OR = 1.01), caudal migration, and migration magnitude ( P < .05, OR = 1.90; P < .01, OR = 1.14), and gray HNP MRI signal ( P < .01, OR = 5.42). Cutoff values for risks included axial HNP area (70.52 mm2, OR = 2.66, P < .01), HNP canal compromise (20.0%, OR = 3.29, P < .01), and cephalad/caudal migration (6.8 mm, OR = 2.43, P < .01). MLD risk for those with gray HNP MRI signal (67.6% alone) increased when combined with axial HNP area >70.52 mm2 (75.5%, P = .01) and HNP canal compromise >20.0% (71.1%, P = .05) cutoffs. MLD risk in patients with cephalad/caudal migration >6.8 mm (40.5% alone) increased when combined with axial HNP area and HNP canal compromise (52.4%, 50%; P < .01). Conclusion: Patients who underwent MLD treatment had significantly different axial HNP area, frequency of caudal migration, magnitude of cephalad/caudal migration, and disc herniation MRI signal compared to patients with nonoperative treatment.
Background: Hospital-acquired venous thromboembolisms (HA-VTE) are a significant source of morbidity and mortality in spine surgery patients. The purpose of this study was to review HA-VTE rates at our institution and evaluate the prevalence of known risk factors in patients who developed HA-VTE among both neurosurgical and orthopedic spine surgeries.Methods: Retrospective chart reviews were conducted of all spine surgery patients from January 1, 2013, to July 31, 2017, to evaluate rates of HA-VTE and prevalence of known HA-VTE risk factors among these patients. Univariate and multivariate logistic regression analysis for categorical variables and independent Student t test for continuous variables were utilized with significance set at P , .05.Results: The overall HA-VTE rate was 0.94% (0.61% orthopedic, 1.87% neurosurgery). Patients with VTEs had higher rates of thoracic procedure (P ¼ .002), posterior approach (P ¼ .001), diagnosis of fracture (P ¼ .013) or flatback syndrome (P ¼ .028), neurosurgery division (P , .001), and diagnosis-related group (DRG) of noncervical malignancy (P ¼ .001). Patients with VTEs had lower rates of cervical procedure (P , .001), diagnosis of herniated nucleus pulposus (P ¼ .006) and degenerative disc disease (P ¼ .001), and DRG of cervical spine fusion (P , .001). In the patients who sustained VTE, the neurosurgical patients had higher rates of active cancer (22.86% vs 0%, P ¼ .004) and age .60 (80% vs 50%, P , .001), and orthopedic patients had higher estimated blood loss (EBL) (2436 ml vs 1176 mL, P ¼ .006) and rates of anterior-posterior surgery (22.58% vs 0%, P ¼ .003). Neurosurgery department, diagnosis of fracture, and DRG of noncervical malignancy were found to be significant independent risks for developing HA-VTE. Cervical procedures were independently associated with significantly lower risk. Postoperative anticoagulation initiated sooner in neurosurgery patients (postoperative day 1.26 vs 3.19, P , .001).Conclusions: The overall HA-VTE rate at our institution was 0.94% (0.61% orthopedic, 1.87% neurosurgery). In patients who sustained VTE, neurosurgical patients had higher rates of active cancer and age .60 years, and orthopedic patients had higher EBL and rates of anterior-posterior surgery. This highlights the different patient populations between the 2 departments and the need for individualized thromboprophylaxis regimens.Level of Evidence: 4. Complications
Study Design: Retrospective review of a prospectively collected database. Objective: To predict the occurrence of hospital-acquired conditions (HACs) 30-days postoperatively and to compare predictors of HACs for spine surgery with other common elective surgeries. Methods: Patients ≥18 years undergoing elective spine surgery were identified in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database from 2005 to 2013. Outcome measures included any HACs: superficial or deep surgical site infection (SSI), venous thromboembolism (VTE), urinary tract infection (UTI). Spine surgery patients were compared with those undergoing other common procedures. Random forest followed by multivariable regression analysis was used to determine risk factors for the occurrence of HACs. Results: A total of 90 551 elective spine surgery patients, of whom 3021 (3.3%) developed at least 1 HAC, 1.4% SSI, 1.3% UTI, and 0.8% VTE. The occurrence of HACs for spine patients was predicted with high accuracy (area under the curve [AUC] 77.7%) with the following variables: female sex, baseline functional status, hypertension, history of transient ischemic attack (TIA), quadriplegia, steroid use, preoperative bleeding disorders, American Society of Anesthesiologists (ASA) class, operating room duration, operative time, and level of residency supervision. Functional status and hypertension were HAC predictors for total knee arthroplasty (TKA), bariatric, and cardiothoracic patients. ASA class and operative time were predictors for most surgery cohorts. History of TIA, preoperative bleeding disorders, and steroid use were less predictive for most other common surgical cohorts. Conclusions: Occurrence of HACs after spine surgery can be predicted with demographic, clinical, and surgical factors. Predictors for HACs in surgical spine patients, also common across other surgical groups, include functional status, hypertension, and operative time. Understanding the baseline patient risks for HACs will allow surgeons to become more effective in their patient selection for surgery.
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