Prognostic assessment in patients operated for brain metastasis from systemic tumors.

BACKGROUND: Established models for prognostic assessment in patients with brain metastasis do not stratify for prior surgery. Here we tested the prognostic accuracy of the Graded Prognostic Assessment (GPA) score model in patients operated for BM and explored further prognostic factors. METHODS: We included 285 patients operated for brain metastasis at the University Hospital Zurich in the analysis. Information on patient characteristics, imaging, staging, peri- and postoperative complications and survival were extracted from the files and integrated into a multivariate Cox hazard model. RESULTS: The GPA score showed an association with outcome. We further identified residual tumor after surgery (p = 0.007, hazard ratio (HR) 1.6, 95% confidence interval (CI) 1.1-2.3) steroid use (p = 0.021, HR 1.7, 95% CI 1.1-2.6) and number of extracranial metastasis sites (p = 0.009, HR 1.4, 95% CI 1.1-1.6) at the time of surgery as independent prognostic factors. A trend was observed for postoperative infection of the subarachnoid space (p = 0.102, HR 3.5, 95% CI 0.8-15.7). CONCLUSIONS: We confirm the prognostic capacity of the GPA score in a cohort of operated patients with brain metastasis. However, extent of resection and steroid use provide additional aid for the prognostic assessment in these patients.

Realistic Assessment of Research Publications by Neurosurgery Residency Applicants.

OBJECTIVE: Neurosurgical residency applicants' prior research experience can amplify their ability to stand out to prospective neurosurgery programs. We attempted to accurately quantify the number of research publications coauthored by applicants by analyzing the publications of applicants who matched into neurosurgery in the 2021 Match. METHODS: Scopus, a peer-reviewed literature database, was queried for publications by applicants who matched into neurosurgery in the 2021 Match before the finalization of rank lists. Conference papers, abstracts, and book chapters were excluded to determine an accurate average of actual publications. Descriptive statistics for resident publication data were used, with a Mann-Whitney U test used to compare research productivity between male and female residents. RESULTS: There were 234 positions filled by the 2021 Match, and 233 neurosurgical residents were identifiable in this study. A total of 187 residents matching from U.S. Doctor of Medicine and Doctor of Osteopathic Medicine programs were identified with 946 total publications-an average of 5.1 publications per resident. Analysis of descriptive statistics revealed type of research conducted, authorship information, most published journals, and citation data. Significant differences were found in the number of publications between male and female applicants with averages of 5.6 and 3.8 publications, respectively. CONCLUSIONS: Students matriculating to neurosurgery residency programs display a wide range of research productivity. Typical U.S. Doctor of Medicine and Doctor of Osteopathic Medicine applicants have coauthored a mean of 5.1 and a median of 4.0 publications. This information may assist program directors in weighing applicants' research background and give medical students interested in the field reasonable research expectations.

Assessment of Spine Patient Preferences for the Location of Surgery Between a Hospital and an Ambulatory Surgical Center in the Time of COVID-19: An Analysis of Patient Surveys.

Introduction There has been a recent increase in the number of spinal procedures that can be performed in ambulatory surgical centers (ASCs). Studies have found that patients who undergo procedures at ASCs tend to have lower complication rates following procedures, including lower infection rates. Furthermore, ASCs offer significantly lower costs of procedures to patients and health insurance companies as compared to the costs of procedures performed in a hospital. Despite precautions and screening in place by ASCs, patients may be hesitant to undergo procedures outside of the hospital. Conversely, the ongoing COVID-19 pandemic has created hesitancy for many to go to the hospital for care due to the presence of COVID patients.  Objective To assess patient preferences in the location of elective spine procedures between ASCs and hospitals, the authors conducted a survey of spine surgery candidates in a single practice. Methods A survey measuring patient age, vaccination status, fear of contracting COVID-19, and preference of surgery location was given to spinal surgery candidates at a single practice between fall 2021 and winter 2022. Statistical differences between the means of response groups were measured by a two-sample Z-score test. Results A total of 58 surveys were completed by patients. No difference in preference was observed by age. A difference was observed between genders, with 66% of females preferring ASCs to 40% of males (α=0.03). Patients with a fear of contracting COVID-19 preferred to have their procedure performed in an ASC. No difference was observed in location due to vaccination status, but unvaccinated patients had a significantly lower fear of contracting COVID-19 (α=0.02). Conclusion The differences in patient preferences have no clear cause, highlighting the need for better patient education in regard to the risks and benefits of each location of surgery. The fear of contracting COVID-19 on the day of surgery appears to be more ideological than rational for unvaccinated patients, who had less fear of contracting COVID-19 than vaccinated patients, despite being more likely to contract COVID-19 than vaccinated patients.

Outpatient Foley catheter induction protocol provides clinical and cost benefits.

BACKGROUND: Obstetric induction procedures are expensive, and little is known of the specific difference in cost between inpatient and outpatient protocols for these procedures. OBJECTIVE: The objective of this study was to examine the difference in health care costs, maternal and neonatal morbidity, and cesarean birth rates for inpatient versus outpatient Foley induction protocols. MATERIAL AND METHODS: We conducted a retrospective study using deliveries from 2013 to 2015 that received an outpatient or inpatient Foley catheter induction. Inductions were matched by race, parity, and maternal age. We used univariate and multivariate logistic regression to test the association between type of induction, length of stay, and cost. Maternal and neonatal factors and cesarean rates were also considered. RESULTS: A total of 163 outpatient Foley inductions were matched 1:1 to inpatient inductions. Outpatient inductions were more likely to have a shorter length of hospitalization from admission to discharge (a 7.17-hour difference, 95% CI, 71.00, 77.59) and lower costs of hospitalization ($408 per patient, 95% CI, 4305, 4714). In the univariate analysis, there was no difference in rate of cesarean birth (OR 0.95, 95% CI, 0.61, 1.48). However, in the multivariate analysis, there was a decreased rate of cesarean for outpatient inductions (OR 0.5, 95% CI, 0.26, 0.97). CONCLUSIONS: Outpatient Foley catheter induction appears to be a safe, cost-effective method for induction of labor. Generating protocols allowing patients to receive quality care in an outpatient setting is increasingly important in current health care environments.

Added value of deep learning-based liver parenchymal CT volumetry for predicting major arterial injury after blunt hepatic trauma: a decision tree analysis.

PURPOSE: In patients presenting with blunt hepatic injury (BHI), the utility of CT for triage to hepatic angiography remains uncertain since simple binary assessment of contrast extravasation (CE) as being present or absent has only modest accuracy for major arterial injury on digital subtraction angiography (DSA). American Association for the Surgery of Trauma (AAST) liver injury grading is coarse and subjective, with limited diagnostic utility in this setting. Volumetric measurements of hepatic injury burden could improve prediction. We hypothesized that in a cohort of patients that underwent catheter-directed hepatic angiography following admission trauma CT, a deep learning quantitative visualization method that calculates % liver parenchymal disruption (the LPD index, or LPDI) would add value to CE assessment for prediction of major hepatic arterial injury (MHAI). METHODS: This retrospective study included adult patients with BHI between 1/1/2008 and 5/1/2017 from two institutions that underwent admission trauma CT prior to hepatic angiography (n = 73). Presence (n = 41) or absence (n = 32) of MHAI (pseudoaneurysm, AVF, or active contrast extravasation on DSA) served as the outcome. Voxelwise measurements of liver laceration were derived using an existing multiscale deep learning algorithm trained on manually labeled data using cross-validation with a 75-25% split in four unseen folds. Liver volume was derived using a pre-trained whole liver segmentation algorithm. LPDI was automatically calculated for each patient by determining the percentage of liver involved by laceration. Classification and regression tree (CART) analyses were performed using a combination of automated LPDI measurements and either manually segmented CE volumes, or CE as a binary sign. Performance metrics for the decision rules were compared for significant differences with binary CE alone (the current standard of care for predicting MHAI), and the AAST grade. RESULTS: 36% of patients (n = 26) had contrast extravasation on CT. Median [Q1-Q3] automated LPDI was 4.0% [1.0-12.1%]. 41/73 (56%) of patients had MHAI. A decision tree based on auto-LPDI and volumetric CE measurements (CEvol) had the highest accuracy (0.84, 95% CI 0.73-0.91) with significant improvement over binary CE assessment (0.68, 95% CI 0.57-0.79; p = 0.01). AAST grades at different cut-offs performed poorly for predicting MHAI, with accuracies ranging from 0.44-0.63. Decision tree analysis suggests an auto-LPDI cut-off of ≥ 12% for minimizing false negative CT exams when CE is absent or diminutive. CONCLUSION: Current CT imaging paradigms are coarse, subjective, and limited for predicting which BHIs are most likely to benefit from AE. LPDI, automated using deep learning methods, may improve objective personalized triage of BHI patients to angiography at the point of care.

Socioeconomic burden and quality of life in meningioma patients.

PURPOSE: Long-term impairment of quality of life (QoL) occurs in a subset of meningioma patients, even after curative surgical resection. We sought to explore socioeconomic burden of meningioma surgery and associations with post-operative QoL to identify patients at risk for inferior outcome. METHODS: All patients with histological diagnosis of an intracranial meningioma treated at a single institution 2000-2013 were screened for inclusion in this cross-sectional survey study. Surveys comprised tools to assess socioeconomic status including social deprivation, QoL and symptom burden. Multivariate binary regression models controlling for established prognostic factors were applied to explore associations of socioeconomics with QoL 1 year after surgery. RESULTS: Completed surveys were returned by 249 patients. The median age at diagnosis was 56 years (SD ± 12), 185 patients (74%) were female and 219 (88%) had World Health Organization grade I meningiomas. One year after surgery, there was a 20% decrease in the number of patients working (p < 0.001), 22% of full-time working patients transitioned to part-time work (p < 0.001) and more patients depended on professional care (14% versus 4%, p < 0.001). Patients reported improved QoL, including improved global health (effect: 21%, 95% confidence interval [1] 15-26%), headaches (effect: 19%, CI 13-24%) and seizures (effect: 12%, CI 8-17%). On multivariable analyses, QoL after meningioma surgery was associated with preoperative employment status (odds ratio [OR] 0.41, 95% CI 0.17-0.98) and subjective work ability (OR 0.37, 95% CI 0.15-0.92). CONCLUSION: In a subset of meningioma patients, there is marked socioeconomic burden, which may be associated with inferior patient-reported outcome.