Implementation of an Enhanced Recovery After Surgery Protocol for Cranial Vault Remodeling Procedures.

BACKGROUND: Enhanced recovery after surgery (ERAS) protocols have been implemented across surgical disciplines, including cranial vault remodeling for craniosynostosis. The authors aim to describe the implementation of an ERAS protocol for cranial vault remodeling procedures performed for patients with craniosynostosis at a tertiary care hospital. DESCRIPTION: Institutional review board approval was received. All patients undergoing a cranial remodeling procedure for craniosynostosis at the authors' institution over a 10-year period were collected (n = 168). Patient and craniosynostosis demographics were collected as well as operative details. Primary outcome measures were intensive care unit length of stay (ICU LOS) and narcotic usage. Chi squared and independent t-tests were employed to determine significance. A significance value of 0.05 was utilized. RESULTS: During the time examined, there were 168 primary cranial vault remodeling procedures performed at the authors' institution - all of which were included in the analysis. Use of the ERAS protocol was associated with decreased initial 24-hour morphine equivalent usage (p < 0.01) and decreased total morphine equivalent usage (p < 0.01). Patients using the ERAS protocol experienced a shorter ICU LOS (p < 0.01), but the total hospital length of stay was unchanged. CONCLUSION: This study reiterates the benefit of developing and implementing an ERAS protocol for patients undergoing cranial vault remodeling procedures. The protocol resulted in an overall decreased ICU LOS and a decrease in narcotic use. This has implications for ways to maximize hospital reimbursement for these procedures, as well as potentially improve outcomes.

Unsupervised machine learning models reveal predictive clinical markers of glioblastoma patient survival using white blood cell counts prior to initiating chemoradiation.

Background: Glioblastoma is a malignant brain tumor requiring careful clinical monitoring even after primary management. Personalized medicine has suggested the use of various molecular biomarkers as predictors of patient prognosis or factors utilized for clinical decision-making. However, the accessibility of such molecular testing poses a constraint for various institutes requiring identification of low-cost predictive biomarkers to ensure equitable care. Methods: We collected retrospective data from patients seen at Ohio State University, University of Mississippi, Barretos Cancer Hospital (Brazil), and FLENI (Argentina) who were managed for glioblastoma-amounting to 581 patient records documented using REDCap. Patients were evaluated using an unsupervised machine learning approach comprised of dimensionality reduction and eigenvector analysis to visualize the inter-relationship of collected clinical features. Results: We discovered that the serum white blood cell (WBC) count of a patient during baseline planning for treatment was predictive of overall survival with an over 6-month median survival difference between the upper and lower quartiles of WBC count. By utilizing an objective PD-L1 immunohistochemistry quantification algorithm, we were further able to identify an increase in PD-L1 expression in glioblastoma patients with high serum WBC counts. Conclusions: These findings suggest that in a subset of glioblastoma patients the incorporation of WBC count and PD-L1 expression in the brain tumor biopsy as simple biomarkers predicting glioblastoma patient survival. Moreover, machine learning models allow the distillation of complex clinical data sets to uncover novel and meaningful clinical relationships.

Trends in Demographic and Geographic Disparities in Stroke Mortality Among Older Adults in the United States.

BACKGROUND: Stroke is a leading cause of morbidity and mortality in the United States among older adults. However, the impact of demographic and geographic risk factors remains ambiguous. A clear understanding of these associations and updated trends in stroke mortality can influence health policies and interventions. METHODS: This study characterizes stroke mortality among older adults (age ≥55) in the US from January 1999 to December 2020, sourcing data from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research. Segmented regression was used to analyze trends in crude mortality rate and age-adjusted mortality rate (AAMR) per 100,000 individuals stratified by stroke subcategory, sex, ethnicity, urbanization, and state. RESULTS: A total of 3,691,305 stroke deaths occurred in older adults in the US between 1999 and 2020 (AAMR = 233.3), with an overall decrease in AAMR during these years. The highest mortality rates were seen in nonspecified stroke (AAMR = 173.5), those 85 or older (crude mortality rate1276.7), men (AAMR = 239.2), non-Hispanic African American adults (AAMR = 319.0), and noncore populations (AAMR = 276.1). Stroke mortality decreased in all states from 1999 to 2019 with the greatest and least decreases seen in California (-61.9%) and Mississippi (-35.0%), respectively. The coronavirus pandemic pandemic saw increased stroke deaths in most groups. CONCLUSIONS: While there's a decline in stroke-related deaths among US older adults, outcome disparities remain across demographic and geographic sectors. The surge in stroke deaths during coronavirus pandemic reaffirms the need for policies that address these disparities.

Case report: Side-firing intraoperative ultrasound guided endoscopic endonasal resection of a clival chordoma.

Clival chordomas are locally invasive midline skull base tumors arising from remnants of the primitive notochord. Intracranial vasculature and cranial nerve involvement of tumors in the paraclival region necessitates image guidance that provides accurate real-time feedback during resection. Several intraoperative image guidance modalities have been introduced as adjuncts to endoscopic endonasal surgery, including stereotactic neuronavigation, intraoperative ultrasound, intraoperative MRI, and intraoperative CT. Gross total resection of chordomas is associated with a lower recurrence rate; therefore, intraoperative imaging may improve long-term outcomes by enhancing the extent of resection. However, among these options, effectiveness and accessibility vary between institutions. We previously published the first use of an end-firing probe in the resection of a clival chordoma. End-firing probes provide a single field of view, primarily limited to depth estimation. In this case report, we discuss the benefits of employing a novel minimally invasive side-firing ultrasound probe as a cost-effective and time-efficient option to navigate the anatomy of the paraclival region and guide endoscopic endonasal resection of a large complex clival chordoma.

Side-firing intraoperative ultrasound applied to resection of pituitary macroadenomas and giant adenomas: A single-center retrospective case-control study.

Introduction: Multiple intraoperative navigation and imaging modalities are currently available as an adjunct to endoscopic transsphenoidal resection of pituitary adenomas, including intraoperative CT and MRI, fluorescence guidance, and neuronavigation. However, these imaging techniques have several limitations, including intraoperative tissue shift, lack of availability in some centers, and the increased cost and time associated with their use. The side-firing intraoperative ultrasound (IOUS) probe is a relatively new technology in endoscopic endonasal surgery that may help overcome these obstacles. Methods: A retrospective analysis was performed on patients admitted for resection of pituitary adenomas by a single surgeon at the University of Mississippi Medical Center. The control (non-ultrasound) group consisted of twelve (n=12) patients who received surgery without IOUS guidance, and the IOUS group was composed of fifteen (n=15) patients who underwent IOUS-guided surgery. Outcome measures used to assess the side-firing IOUS were the extent of tumor resection, postoperative complications, length of hospital stay (LOS) in days, operative time, and self-reported surgeon confidence in estimating the extent of resection intraoperatively. Results: Preoperative data analysis showed no significant differences in patient demographics or presenting symptoms between the two groups. Postoperative data revealed no significant difference in the rate of gross total resection between the groups (p = 0.716). Compared to the non-US group, surgeon confidence was significantly higher (p < 0.001), and operative time was significantly lower for the US group in univariate analysis (p = 0.011). Multivariate analysis accounting for tumor size, surgeon confidence, and operative time confirmed these findings. Interestingly, we noted a trend for a lower incidence of postoperative diabetes insipidus in the US group, although this did not quite reach our threshold for statistical significance. Conclusion: Incorporating IOUS as an aid for endonasal resection of pituitary adenomas provides real-time image guidance that increases surgeon confidence in intraoperative assessment of the extent of resection and decreases operative time without posing additional risk to the patient. Additionally, we identified a trend for reduced diabetes insipidus with IOUS.