Association Between Payer Type and Risk of Persistent Opioid Use After Surgery.

OBJECTIVE: To assess whether the risk of persistent opioid use after surgery varies by payer type. BACKGROUND: Persistent opioid use is associated with increased health care utilization and risk of opioid use disorder, opioid overdose, and mortality. Most research assessing the risk of persistent opioid use has focused on privately insured patients. Whether this risk varies by payer type is poorly understood. METHODS: This cross-sectional analysis of the Michigan Surgical Quality Collaborative database examined adults aged 18 to 64 years undergoing surgical procedures across 70 hospitals between January 1, 2017 and October 31, 2019. The primary outcome was persistent opioid use, defined a priori as 1+ opioid prescription fulfillment at (1) an additional opioid prescription fulfillment after an initial postoperative fulfillment in the perioperative period or at least 1 fulfillment in the 4 to 90 days after discharge and (2) at least 1 opioid prescription fulfillment in the 91 to 180 days after discharge. The association between this outcome and payer type was evaluated using logistic regression, adjusting for patient and procedure characteristics. RESULTS: Among 40,071 patients included, the mean age was 45.3 years (SD 12.3), 24,853 (62%) were female, 9430 (23.5%) were Medicaid-insured, 26,760 (66.8%) were privately insured, and 3889 (9.7%) were covered by other payer types. The rate of POU was 11.5% and 5.6% for Medicaid-insured and privately insured patients, respectively (average marginal effect for Medicaid: 2.9% (95% CI 2.3%-3.6%)). CONCLUSIONS: Persistent opioid use remains common among individuals undergoing surgery and higher among patients with Medicaid insurance. Strategies to optimize postoperative recovery should focus on adequate pain management for all patients and consider tailored pathways for those at risk.

Neurosurgical patients admitted via the emergency department initiating comfort care measures: a prospective cohort analysis.

BACKGROUND: Given the serious nature of many neurosurgical pathologies, it is common for hospitalized patients to elect comfort care (CC) over aggressive treatment. Few studies have evaluated the incidence and risk factors of CC trends in patients admitted for neurosurgical emergencies. OBJECTIVES: To analyze all neurosurgical patients admitted to a tertiary care academic referral center via the emergency department (ED) to determine incidence and characteristics of those who initiated CC measures during their initial hospital admission. METHODS: We performed a prospective, cohort analysis of all consecutive adult patients admitted to the neurosurgical service via the ED between October 2018 and May 2019. The primary outcome was the initiation of CC measures during the patient's hospital admission. CC was defined as cessation of life-sustaining measures and a shift in focus to maintaining the comfort and dignity of the patient. RESULTS: Of the 428 patients admitted during the 7-month period, 29 (6.8%) initiated CC measures within 4.0 ± 4.0 days of admission. Patients who entered CC were significantly more likely to have a medical history of cerebrovascular disease (58.6% vs. 33.3%, p = 0.006), dementia (17.2% vs. 1.5%, p = 0.0004), or cancer with metastatic disease (24.1% vs. 7.0%, p = 0.001). Patients with a presenting pathology associated with cerebrovascular disease were significantly more likely to initiate CC (62.1% vs. 35.3, p = 0.04). Patients who underwent emergent surgery were significantly more likely to enter CC compared with those who had elective surgery (80.0% vs. 42.7%, p = 0.02). Only 10 of the 29 (34.5%) patients who initiated CC underwent a neurosurgical operation (p = 0.002). Twenty of the 29 (69.0%) patients died within 0.8 ± 0.8 days after the initiation of CC measures. CONCLUSION: CC measures were initiated in 6.8% of patients admitted to the neurosurgical service via the ED, with the majority of patients entering CC before an operation and presenting with a cerebrovascular pathology.

Effect of Best Practice Alert (BPA) on Post-Discharge Opioid Prescribing After Minimally Invasive Hysterectomy: A Quality Improvement Study.

Purpose: The aim of this study was to describe the effectiveness of an electronic health record best practice alert (BPA) in decreasing gynecologic post-discharge opioid prescribing following benign minimally invasive hysterectomy. Patients and Methods: The BPA triggered for opioid orders >15 tablets. Prescribers' options included (1) decrease to 15 ≤ tablets; (2) remove the order/utilize a defaulted order set; or (3) override the alert. Results: 332 patients were included. The BPA triggered 29 times. The following actions were taken among 16 patients for whom the BPA triggered: "override the alert" (n=13); "cancel the alert" (n=2); and 'remove the opioid order set' (n=1). 12/16 patients had discharge prescriptions: one patient received 20 tablets; two received 10 tablets; and nine received 15 tablets. Top reasons for over prescribing included concerns for pain control and lack of alternatives. Conclusion: Implementing a post-discharge opioid prescribing BPA aligned opioid prescribing following benign minimally invasive hysterectomy with guideline recommendations.

Metabolomic Profiles of Human Glioma Inform Patient Survival.

Aims: Targeting tumor metabolism may improve the outcomes for patients with glioblastoma (GBM). To further preclinical efforts targeting metabolism in GBM, we tested the hypothesis that brain tumors can be stratified into distinct metabolic groups with different patient outcomes. Therefore, to determine if tumor metabolites relate to patient survival, we profiled the metabolomes of human gliomas and correlated metabolic information with clinical data. Results: We found that isocitrate dehydrogenase-wildtype (IDHwt) GBMs are metabolically distinguishable from IDH mutated (IDHmut) astrocytomas and oligodendrogliomas. Survival of patients with IDHmut gliomas was expectedly more favorable than those with IDHwt GBM, and metabolic signatures can stratify IDHwt GBMs subtypes with varying prognoses. Patients whose GBMs were enriched in amino acids had improved survival, while those whose tumors were enriched for nucleotides, redox molecules, and lipid metabolites fared more poorly. These findings were recapitulated in validation cohorts using both metabolomic and transcriptomic data. Innovation: Our results suggest the existence of metabolic subtypes of GBM with differing prognoses, and further support the concept that metabolism may drive the aggressiveness of human gliomas. Conclusions: Our data show that metabolic signatures of human gliomas can inform patient survival. These findings may be used clinically to tailor novel metabolically targeted agents for GBM patients with different metabolic phenotypes. Antioxid. Redox Signal. 39, 942-956.

Novel treatment for hypotonic airway obstruction and severe obstructive sleep apnea using a nasopharyngeal airway device with 3D printing innovation.

STUDY OBJECTIVES: Pediatric obstructive sleep apnea impacts child and familial well-being. Airway management in patients with hypotonic pharyngeal conditions is complex. Some patients may benefit from continuous positive airway pressure or bilevel positive airway pressure, others may require further invasive measures for treatment. There is critical need for treatment alternatives for patients with pharyngeal hypotonia. METHODS: This is a retrospective case series. Collaboratively with patients, families, biomedical engineers, and medical professionals, a long-term nasopharyngeal airway (NPA) was created to bypass upper airway obstruction. Two patients used a safety pin and tape attachment, and two patients used a novel 3D-printed, self-supporting nasal securement. All 4 patients had polysomnography before and during NPA use. Paired 1-tailed t-tests were conducted to compare apnea-hypopnea index, hypopnea index, obstructive index, and oxygen nadir. RESULTS: Compared to baseline polysomnography, repeat polysomnography with the NPA in place demonstrated statistically significant improvement for apnea-hypopnea index (75.8 ± 36.6 events/h to 8.9 ± 2.9 events/h, P = .03), hypopnea index (45.4 ± 25.8 events/h to 7.7 ± 3.2 events/h, P = .04), and oxygen saturation nadir (60.3 ± 13.0% to 79.3 ± 8.7%, P = .01). The NPA had been used for over 1 year in 3 of the 4 children. Those using the safety pin and tape did report skin irritation due to adhesive required to keep device in place. CONCLUSIONS: Current management of severe upper airway obstruction and obstructive sleep apnea in hypotonic pharyngeal conditions requires a team-based approach to care. A long-term NPA device may be an alternative or temporizing option to continuous positive airway pressure, upper airway surgery, or tracheostomy in children with pharyngeal hypotonia and severe obstructive sleep apnea. Larger studies of this approach are underway to assess efficacy in a range of obstructive sleep apnea severity in this population. CITATION: Powell AR, Srinivasan S, Helman JL, et al. Novel treatment for hypotonic airway obstruction and severe obstructive sleep apnea using a nasopharyngeal airway device with 3D printing innovation. J Clin Sleep Med. 2022;18(10):2497-2502.

Ventricular Volume Change as a Predictor of Shunt-Dependent Hydrocephalus in Aneurysmal Subarachnoid Hemorrhage.

BACKGROUND: Hydrocephalus is a common complication of aneurysmal subarachnoid hemorrhage (aSAH) that often requires acute placement of an external ventricular drain (EVD). The current systems available for determining which patients will require long-term cerebrospinal fluid diversion remain subjective. We investigated the ventricular volume change (ΔVV) after EVD clamping as an objective predictor of shunt dependence in patients with aSAH. METHODS: We performed a retrospective medical record review and image analysis of patients treated for aSAH at a single academic institution who had required EVD placement for acute hydrocephalus and had undergone 1 EVD weaning trial. Head computed tomography (CT) scans obtained before and after EVD clamping were analyzed using a custom semiautomated MATLAB program (MathWorks, Natick, Massachusetts, USA), which segments each CT scan into 5 tissue types using k-means clustering. Differences in the pre- and postclamp ventricular volumes were calculated. RESULTS: A total of 34 patients with an indwelling shunt met the inclusion criteria and were sex- and age-matched to 34 controls without a shunt. The mean ΔVV was 19.8 mL in the shunt patients and 3.8 mL in the nonshunt patients (P < 0.0001). The area under the receiver operating characteristic curve was 0.84. The optimal ΔVV threshold was 11.4 mL, with a sensitivity of 76.5% and specificity of 88.2% for predicting shunt dependence. The mean ΔVV was significantly greater for the patients readmitted for shunt placement compared with the patients not requiring cerebrospinal fluid diversion (18.69 mL vs. 3.84 mL; P = 0.005). Finally, 70% of the patients with delayed shunt dependence had ΔVV greater than the identified threshold. CONCLUSIONS: The ΔVV volume between head CT scans taken before and after EVD clamping was predictive of early and delayed shunt dependence.

Revised clinical and molecular risk strata define the incidence and pattern of failure in medulloblastoma following risk-adapted radiotherapy and dose-intensive chemotherapy: results from a phase III multi-institutional study.

BACKGROUND: We characterize the patterns of progression across medulloblastoma (MB) clinical risk and molecular subgroups from SJMB03, a Phase III clinical trial. METHODS: One hundred and fifty-five pediatric patients with newly diagnosed MB were treated on a prospective, multi-center phase III trial of adjuvant radiotherapy (RT) and dose-intense chemotherapy with autologous stem cell transplant. Craniospinal radiotherapy to 23.4 Gy (average risk, AR) or 36-39.6 Gy (high risk, HR) was followed by conformal RT with a 1 cm clinical target volume to a cumulative dose of 55.8 Gy. Subgroup was determined using 450K DNA methylation. Progression was classified anatomically (primary site failure (PSF) +/- distant failure (DF), or isolated DF), and dosimetrically. RESULTS: Thirty-two patients have progressed (median follow-up 11.0 years (range, 0.3-16.5 y) for patients without progression). Anatomic failure pattern differed by clinical risk (P = .0054) and methylation subgroup (P = .0034). The 5-year cumulative incidence (CI) of PSF was 5.1% and 5.6% in AR and HR patients, respectively (P = .92), and did not differ across subgroups (P = .15). 5-year CI of DF was 7.1% vs. 28.1% for AR vs. HR (P = .0003); and 0% for WNT, 15.3% for SHH, 32.9% for G3, and 9.7% for G4 (P = .0024). Of 9 patients with PSF, 8 were within the primary site RT field and 4 represented SHH tumors. CONCLUSIONS: The low incidence of PSF following conformal primary site RT is comparable to prior studies using larger primary site or posterior fossa boost volumes. Distinct anatomic failure patterns across MB subgroups suggest subgroup-specific treatment strategies should be considered.

Rapid Automated Analysis of Skull Base Tumor Specimens Using Intraoperative Optical Imaging and Artificial Intelligence.

BACKGROUND: Accurate specimen analysis of skull base tumors is essential for providing personalized surgical treatment strategies. Intraoperative specimen interpretation can be challenging because of the wide range of skull base pathologies and lack of intraoperative pathology resources. OBJECTIVE: To develop an independent and parallel intraoperative workflow that can provide rapid and accurate skull base tumor specimen analysis using label-free optical imaging and artificial intelligence. METHODS: We used a fiber laser-based, label-free, nonconsumptive, high-resolution microscopy method (<60 seconds per 1 × 1 mm2), called stimulated Raman histology (SRH), to image a consecutive, multicenter cohort of patients with skull base tumor. SRH images were then used to train a convolutional neural network model using 3 representation learning strategies: cross-entropy, self-supervised contrastive learning, and supervised contrastive learning. Our trained convolutional neural network models were tested on a held-out, multicenter SRH data set. RESULTS: SRH was able to image the diagnostic features of both benign and malignant skull base tumors. Of the 3 representation learning strategies, supervised contrastive learning most effectively learned the distinctive and diagnostic SRH image features for each of the skull base tumor types. In our multicenter testing set, cross-entropy achieved an overall diagnostic accuracy of 91.5%, self-supervised contrastive learning 83.9%, and supervised contrastive learning 96.6%. Our trained model was able to segment tumor-normal margins and detect regions of microscopic tumor infiltration in meningioma SRH images. CONCLUSION: SRH with trained artificial intelligence models can provide rapid and accurate intraoperative analysis of skull base tumor specimens to inform surgical decision-making.

Addressing the Pandemic Training Deficiency: Filling the Void with Simulation in Facial Reconstruction.

OBJECTIVE/HYPOTHESIS: To assess the use of a three-dimensional (3D) printed, multilayer facial flap model for use in trainee education as an alternative method of teaching surgical techniques of facial reconstruction. STUDY DESIGN: Cohort study. METHODS: A 3D printed facial flap simulator was designed from a computed tomography scan and manufactured out of silicone for low-cost, high-fidelity simulation. This simulator was tested by a group of Otolaryngology-Head and Neck Surgery trainees at a single institution. The simulator group was compared to a control group who completed an exercise on a traditional paper facial flap exercise. Both groups underwent didactic lectures prior to completing their respective exercises. Pre- and post-exercise Likert scale surveys measuring experience, understanding, effectiveness, and realism were completed by both groups. Central tendency, variability, and confidence intervals were measured to evaluate the outcomes. RESULTS: Trainees completing the facial flap simulator reported a statistically significant (p < 0.05) improvement in overall expertise in facial flap procedures, design of facial flaps, and excision of standing cutaneous deformities. No statistically significant improvement was seen in the control group. CONCLUSIONS: Trainees found the facial flap simulator to be an effective and useful training tool with a high level of realism in surgical education of facial reconstruction. Surgical simulators can serve as an adjunct to trainee education, especially during extraordinary times such as the novel coronavirus disease 2019 pandemic, which significantly impacted surgical training. LEVEL OF EVIDENCE: NA Laryngoscope, 131:E2444-E2448, 2021.

Volumetric quantification of aneurysmal subarachnoid hemorrhage independently predicts hydrocephalus and seizures.

OBJECTIVE: Hydrocephalus and seizures greatly impact outcomes of patients with aneurysmal subarachnoid hemorrhage (aSAH); however, reliable tools to predict these outcomes are lacking. The authors used a volumetric quantitative analysis tool to evaluate the association of total aSAH volume with the outcomes of shunt-dependent hydrocephalus and seizures. METHODS: Total hemorrhage volume following aneurysm rupture was retrospectively analyzed on presentation CT imaging using a custom semiautomated computer program developed in MATLAB that employs intensity-based k-means clustering to automatically separate blood voxels from other tissues. Volume data were added to a prospectively maintained aSAH database. The association of hemorrhage volume with shunted hydrocephalus and seizures was evaluated through logistic regression analysis and the diagnostic accuracy through analysis of the area under the receiver operating characteristic curve (AUC). RESULTS: The study population comprised 288 consecutive patients with aSAH. The mean total hemorrhage volume was 74.9 ml. Thirty-eight patients (13.2%) developed seizures. The mean hemorrhage volume in patients who developed seizures was significantly higher than that in patients with no seizures (mean difference 17.3 ml, p = 0.01). In multivariate analysis, larger hemorrhage volume on initial CT scan and hemorrhage volume > 50 ml (OR 2.81, p = 0.047, 95% CI 1.03-7.80) were predictive of seizures. Forty-eight patients (17%) developed shunt-dependent hydrocephalus. The mean hemorrhage volume in patients who developed shunt-dependent hydrocephalus was significantly higher than that in patients who did not (mean difference 17.2 ml, p = 0.006). Larger hemorrhage volume and hemorrhage volume > 50 ml (OR 2.45, p = 0.03, 95% CI 1.08-5.54) were predictive of shunt-dependent hydrocephalus. Hemorrhage volume had adequate discrimination for the development of seizures (AUC 0.635) and shunted hydrocephalus (AUC 0.629). CONCLUSIONS: Hemorrhage volume is an independent predictor of seizures and shunt-dependent hydrocephalus in patients with aSAH. Further evaluation of aSAH quantitative volumetric analysis may complement existing scales used in clinical practice and assist in patient prognostication and management.

Survival, fusion, and hardware failure after surgery for spinal metastatic disease.

OBJECTIVE: Decompression with instrumented fusion is commonly employed for spinal metastatic disease. Arthrodesis is typically sought despite limited knowledge of fusion outcomes, high procedural morbidity, and poor prognosis. This study aimed to describe survival, fusion, and hardware failure after decompression and fusion for spinal metastatic disease. METHODS: The authors retrospectively examined a prospectively collected, single-institution database of adult patients undergoing decompression and instrumented fusion for spinal metastases. Patients were followed clinically until death or loss to follow-up. Fusion was assessed using CT when performed for oncological surveillance at 6-month intervals through 24 months postoperatively. Estimated cumulative incidences for fusion and hardware failure accounted for the competing risk of death. Potential risk factors were analyzed with univariate Fine and Gray proportional subdistribution hazard models. RESULTS: One hundred sixty-four patients were identified. The mean age ± SD was 62.2 ± 10.8 years, 61.6% of patients were male, 98.8% received allograft and/or autograft, and 89.6% received postoperative radiotherapy. The Kaplan-Meier estimate of median survival was 11.0 months (IQR 3.5-37.8 months). The estimated cumulative incidences of any fusion and of complete fusion were 28.8% (95% CI 21.3%-36.7%) and 8.2% (95% CI 4.1%-13.9%). Of patients surviving 6 and 12 months, complete fusion was observed in 12.5% and 16.1%, respectively. The estimated cumulative incidence of hardware failure was 4.2% (95% CI 1.5-9.3%). Increasing age predicted hardware failure (HR 1.2, p = 0.003). CONCLUSIONS: Low rates of complete fusion and hardware failure were observed due to the high competing risk of death. Further prospective, case-control studies incorporating nonfusion instrumentation techniques may be warranted.

Rapid, label-free detection of diffuse glioma recurrence using intraoperative stimulated Raman histology and deep neural networks.

BACKGROUND: Detection of glioma recurrence remains a challenge in modern neuro-oncology. Noninvasive radiographic imaging is unable to definitively differentiate true recurrence versus pseudoprogression. Even in biopsied tissue, it can be challenging to differentiate recurrent tumor and treatment effect. We hypothesized that intraoperative stimulated Raman histology (SRH) and deep neural networks can be used to improve the intraoperative detection of glioma recurrence. METHODS: We used fiber laser-based SRH, a label-free, nonconsumptive, high-resolution microscopy method (<60 sec per 1 × 1 mm2) to image a cohort of patients (n = 35) with suspected recurrent gliomas who underwent biopsy or resection. The SRH images were then used to train a convolutional neural network (CNN) and develop an inference algorithm to detect viable recurrent glioma. Following network training, the performance of the CNN was tested for diagnostic accuracy in a retrospective cohort (n = 48). RESULTS: Using patch-level CNN predictions, the inference algorithm returns a single Bernoulli distribution for the probability of tumor recurrence for each surgical specimen or patient. The external SRH validation dataset consisted of 48 patients (recurrent, 30; pseudoprogression, 18), and we achieved a diagnostic accuracy of 95.8%. CONCLUSION: SRH with CNN-based diagnosis can be used to improve the intraoperative detection of glioma recurrence in near-real time. Our results provide insight into how optical imaging and computer vision can be combined to augment conventional diagnostic methods and improve the quality of specimen sampling at glioma recurrence.

Beamline characterization of a dielectric-filled reentrant cavity resonator as beam current monitor for a medical cyclotron facility.

At PSI (Paul Scherrer Institute), Switzerland, a superconducting cyclotron called "COMET" delivers proton beam of 250 MeV pulsed at 72.85 MHz for proton radiation therapy. Measuring proton beam currents (0.1-10nA) is of crucial importance for the treatment safety and is usually performed with invasive monitors such as ionisation chambers (ICs) which degrade the beam quality. A new non-invasive beam current monitor working on the principle of electromagnetic resonance is built to replace ICs in order to preserve the beam quality delivered. The fundamental resonance frequency of the resonator is tuned to 145.7 MHz, which is the second harmonic of the pulse rate, so it provides signals proportional to beam current. The cavity resonator installed in the beamline of the COMET is designed to measure beam currents for the energy range 238-70 MeV. Good agreement is reached between expected and measured resonator response over the energy range of interest. The resonator can deliver beam current information down to 0.15 nA for a measurement integration time of 1 s. The cavity resonator might be applied serving as a safety monitor to trigger interlocks within the existing domain of proton radiation therapy. Low beam currents limit the abilities to detect sufficiently, however, with the potential implementation of FLASH proton therapy, the application of cavity resonator as an online beam-monitoring device is feasible.

Normal cerebral ventricular volume growth in childhood.

OBJECTIVE: Normal percentile growth charts for head circumference, length, and weight are well-established tools for clinicians to detect abnormal growth patterns. Currently, no standard exists for evaluating normal size or growth of cerebral ventricular volume. The current standard practice relies on clinical experience for a subjective assessment of cerebral ventricular size to determine whether a patient is outside the normal volume range. An improved definition of normal ventricular volumes would facilitate a more data-driven diagnostic process. The authors sought to develop a growth curve of cerebral ventricular volumes using a large number of normal pediatric brain MR images. METHODS: The authors performed a retrospective analysis of patients aged 0 to 18 years, who were evaluated at their institution between 2009 and 2016 with brain MRI performed for headaches, convulsions, or head injury. Patients were excluded for diagnoses of hydrocephalus, congenital brain malformations, intracranial hemorrhage, meningitis, or intracranial mass lesions established at any time during a 3- to 10-year follow-up. The volume of the cerebral ventricles for each T2-weighted MRI sequence was calculated with a custom semiautomated segmentation program written in MATLAB. Normal percentile curves were calculated using the lambda-mu-sigma smoothing method. RESULTS: Ventricular volume was calculated for 687 normal brain MR images obtained in 617 different patients. A chart with standardized growth curves was developed from this set of normal ventricular volumes representing the 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles. The charted data were binned by age at scan date by 3-month intervals for ages 0-1 year, 6-month intervals for ages 1-3 years, and 12-month intervals for ages 3-18 years. Additional percentile values were calculated for boys only and girls only. CONCLUSIONS: The authors developed centile estimation growth charts of normal 3D ventricular volumes measured on brain MRI for pediatric patients. These charts may serve as a quantitative clinical reference to help discern normal variance from pathologic ventriculomegaly.

Late Surgical Start Time and the Effect on Rates of Complications in a Neurosurgical Population: A Prospective Longitudinal Analysis.

OBJECTIVE: The after-hours effect on postoperative complications has been poorly studied in the neurosurgical literature. A recent retrospective analysis showed that patients with a surgical start time (SST) between 09:01 pm and 07:00 am had a greater risk of complications. This study used a prospective registry to examine the relationship between SST and postoperative complications in a large neurosurgical population. METHODS: We performed a prospective longitudinal cohort analysis of all consecutive adult patients admitted to our neurosurgery service between October 1, 2018 and May 1, 2019. Complications were prospectively recorded and classified as surgical or medical. Univariate and multivariate logistic regressions were used to analyze these data. RESULTS: Eighty-five surgical complications (6.6%) and 110 medical complications (8.6%) resulted from 1285 operations on 1145 patients. Later SST was predictive of complications in the emergent population (odds ratio [OR], 2.28; 95% confidence interval [CI], 1.01-5.15; P = 0.048) but not in the elective population. Extubation in the neurosurgical intensive care unit (NICU) versus the operating room strongly predicted medical complications (OR, 6.91; 95% CI, 3.33-14.34; P < 0.0001). Patients with a later SST were significantly more likely to be extubated in the NICU (P < 0.0001). CONCLUSIONS: Patients undergoing emergent operations with a later SST were significantly more likely to have a postoperative complication. Patients who were extubated in the NICU versus the operating room were significantly more likely to have a medical complication. Patients were more likely to be extubated in the NICU if they had a later SST; therefore, SST may indirectly be associated with an increase in medical complications.

Automated histologic diagnosis of CNS tumors with machine learning.

The discovery of a new mass involving the brain or spine typically prompts referral to a neurosurgeon to consider biopsy or surgical resection. Intraoperative decision-making depends significantly on the histologic diagnosis, which is often established when a small specimen is sent for immediate interpretation by a neuropathologist. Access to neuropathologists may be limited in resource-poor settings, which has prompted several groups to develop machine learning algorithms for automated interpretation. Most attempts have focused on fixed histopathology specimens, which do not apply in the intraoperative setting. The greatest potential for clinical impact probably lies in the automated diagnosis of intraoperative specimens. Successful future studies may use machine learning to automatically classify whole-slide intraoperative specimens among a wide array of potential diagnoses.

The Predictive Value of the HOSPITAL Score and LACE Index for an Adult Neurosurgical Population: A Prospective Analysis.

OBJECTIVE: The HOSPITAL score (HS) and LACE index (LI) are 2 validated methods for quantifying the risk of 30-day unplanned readmission after discharge. However, neither score has been validated in the neurosurgical population. This study evaluated the HS and LI in the neurosurgical population as effective predictors for 30-day unplanned readmission. METHODS: We performed a prospective, cohort analysis of all consecutive adult patients admitted to the neurosurgical service between October 1, 2018 and May 1, 2019. Patient medical records were used to calculate HS and LI. HS defined groups as low risk (0-4), intermediate (5-6), and high (7-12); LI defined risk as low (1-4), moderate (5-9), and high (10-19). Data analysis used univariate and multivariate logistic regressions. RESULTS: The 1242 patients included 626 women (50.4%). The average age was 57.9 years, and most patients (86.5%) underwent surgery during their admission. In multivariate logistic regression, intermediate-risk HS was not predictive of 30-day readmission (odds ratio [OR], 1.04; 95% confidence interval [CI], 0.57-1.88; P = 0.53), whereas high-risk HS did predict readmission (OR, 2.87; 95% CI, 1.49-5.54; P = 0.002). Likewise, moderate-risk LI was not predictive of 30-day unplanned readmission or mortality (OR, 1.59; 95% CI, 0.88-2.85; P = 0.12); however, high-risk LI did predict unplanned readmission or mortality (OR, 2.58; 95% CI, 1.16-5.73; P = 0.02). Both HS and LI showed poor to moderate discrimination (C = 0.62 and 0.60, respectively). CONCLUSIONS: A high-risk HS and high-risk LI were predictive of 30-day unplanned readmission. Although neither score is ideal for predicting moderate risk for 30-day unplanned readmission in neurosurgical patients, both have some predictiveness that may be clinically valuable.

Tumor Immune Microenvironment Clusters in Localized Prostate Adenocarcinoma: Prognostic Impact of Macrophage Enriched/Plasma Cell Non-Enriched Subtypes.

BACKGROUND: Prostate cancer (PCa) is characterized by significant heterogeneity in its molecular, genomic, and immunologic characteristics. METHODS: Whole transcriptome RNAseq data from The Cancer Genome Atlas of prostate adenocarcinomas (n = 492) was utilized. The immune microenvironment was characterized using the CIBERSORTX tool to identify immune cell type composition. Unsupervised hierarchical clustering was performed based on immune cell type content. Analyses of progression-free survival (PFS), distant metastases, and overall survival (OS) were performed using Kaplan-Meier estimates and Cox regression multivariable analyses. RESULTS: Four immune clusters were identified, largely defined by plasma cell, CD4+ Memory Resting T Cells (CD4 MR), and M0 and M2 macrophage content (CD4 MRHighPlasma CellHighM0LowM2Mid, CD4 MRLowPlasma CellHighM0LowM2Low, CD4 MRHighPlasma CellLowM0HighM2Low, and CD4 MRHighPlasma CellLowM0LowM2High). The two macrophage-enriched/plasma cell non-enriched clusters (3 and 4) demonstrated worse PFS (HR 2.24, 95% CI 1.46-3.45, p = 0.0002) than the clusters 1 and 2. No metastatic events occurred in the plasma cell enriched, non-macrophage-enriched clusters. Comparing clusters 3 vs. 4, in patients treated by surgery alone, cluster 3 had zero progression events (p < 0.0001). However, cluster 3 patients had worse outcomes after post-operative radiotherapy (p = 0.018). CONCLUSION: Distinct tumor immune clusters with a macrophage-enriched, plasma cell non-enriched phenotype and reduced plasma cell enrichment independently characterize an aggressive phenotype in localized prostate cancer that may differentially respond to treatment.

Computer-Aided Design, 3-D-Printed Manufacturing, and Expert Validation of a High-fidelity Facial Flap Surgical Simulator.

IMPORTANCE: Facial flap procedures may be difficult for surgical trainees to conceptualize and challenging for supervising surgeons to allow entrustment early in training. Simulation outside of the operating room may accelerate and enhance the surgical education experience. OBJECTIVE: To design and manufacture a 3-dimensional (3-D)-printed, multilayer, anatomically accurate facial flap model for use in surgical education. DESIGN, SETTING, AND PARTICIPANTS: In this multicenter validation study, a 3-D-printed facial flap simulator was designed from a computed tomographic (CT) scan and manufactured for low-cost, high-fidelity simulation. Expert otolaryngology-head and neck surgeon feedback was acquired through surgical rehearsal and performance of 8 local facial flap procedures on the facial flap simulator by 7 otolaryngologists fellowship trained in facial plastic surgery. MAIN OUTCOMES AND MEASURES: Likert scale surveys were made based on evaluation criteria categorized into domains of realism, experience, and applicability of the simulator. Measures of central tendency, variability, and confidence intervals were generated to evaluate the outcomes. RESULTS: Seven expert otolaryngology-head and neck surgeons completed a Likert scale evaluation survey containing quantitative analysis of 6 questions on physical attributes, 12 questions on realism, 8 questions on experience, and 4 questions on the applicability of the simulator. All expert surgeons were additionally fellowship trained in facial plastic surgery with their mean years in practice being 11.9. Overall evaluation demonstrated valuable ability of the simulator for medical education with suggestions for future directions. Importantly, the simulator was rated on a scale of 1 (no value) to 4 (great value) as 3.86 as a training tool, 3.57 as a competency evaluation tool, and 3.43 as a rehearsal tool. CONCLUSIONS AND REVELANCE: Expert experience with the local facial flap simulator was rated highly for realism, experience, performance, and usefulness. With slight refinement, the model has strong potential for broad use in training in otolaryngology-head and neck surgery and facial plastic surgery. LEVEL OF EVIDENCE: NA.