Association of Low-Grade Glioma Diagnosis and Management Approach with Mental Health Disorders: A MarketScan Analysis 2005-2014.

Low-grade gliomas (LGGs) comprise 13-16% of glial tumors. As survival for LGG patients has been gradually improving, it is essential that the effects of diagnosis and disease progression on mental health be considered. This retrospective cohort study queried the IBM Watson Health MarketScan® Database to describe the incidence and prevalence of mental health disorders (MHDs) among LGG patients and identify associated risk factors. Among the 20,432 LGG patients identified, 12,436 (60.9%) had at least one MHD. Of those who never had a prior MHD, as documented in the claims record, 1915 (16.7%) had their first, newly diagnosed MHD within 12 months after LGG diagnosis. Patients who were female (odds ratio (OR), 1.14, 95% confidence intervals (CI), 1.03-1.26), aged 35-44 (OR, 1.20, 95% CI, 1.03-1.39), and experienced glioma-related seizures (OR, 2.19, 95% CI, 1.95-2.47) were significantly associated with MHD incidence. Patients who underwent resection (OR, 2.58, 95% CI, 2.19-3.04) or biopsy (OR, 2.17, 95% CI, 1.68-2.79) were also more likely to develop a MHD compared to patients who did not undergo a first-line surgical treatment. These data support the need for active surveillance, proactive counseling, and management of MHDs in patients with LGG. Impact of surgery on brain networks affecting mood should also be considered.

#Neurosurgery: A Temporal and Content Analysis of Academic Neurosurgery on Twitter.

BACKGROUND: Social media has become ubiquitous in modern medicine. Academic neurosurgery has increased adoption to promote individual and departmental accomplishments, engage with patients, and foster collaboration. We sought to quantitatively evaluate the adoption of one of the most used social media platforms, Twitter, within academic neurosurgery. METHODS: A quantitative and qualitative analysis of Twitter use across 118 academic neurosurgery departments with residency programs in the United States was performed in March 2019 and March 2021. We collated Twitter handles, Doximity residency ranking (a peer-determined ranking system), geographic location, and Twitter demographics (tweets, followers, likes, and tweet content) from before and after the coronavirus disease 2019 (COVID-19) pandemic. Tweet content was characterized by reviewers over a predetermined 6-month period. Linear regression and parametric/nonparametric tests were used for analysis. RESULTS: Departmental accounts grew 3.7 accounts per year between 2009 and 2019 (R2 = 0.96), but 43 accounts (130%) were added between 2019 (n = 33) and 2021 (n = 76). This growth, coinciding with the COVID-19 pandemic, changed the model from linear to exponential growth (R2 = 0.97). The highest-ranking programs based on Doximity were significantly more likely to have an account (P < 0.001) and have more followers (P < 0.0001). Tweet content analysis revealed prioritization of faculty/resident activity (mean 49.9%) throughout the quartiles. CONCLUSIONS: We demonstrate rapid uptake in Twitter use among U.S. academic neurosurgical departments, accelerated by COVID-19. With the impact of COVID-19, it is clear that there will be continued rapid adoption of this platform within neurosurgery, and future studies should explore the outcomes of peer collaboration, patient engagement, and dissemination of medical information.

Telemedicine for Outpatient Neurosurgical Oncology Care: Lessons Learned for the Future During the COVID-19 Pandemic.

BACKGROUND: The coronavirus 2019 (COVD-19) pandemic has drastically disrupted the delivery of neurosurgical care, especially for the already at-risk neuro-oncology population. The sudden change to clinic visits has rapidly spurned the implementation of telemedicine. A recommendation care paradigm of neuro-oncologic patients limited by telemedicine has not been reported. METHODS: A summary of a multi-institution experience detailing the potential benefits, pitfalls, and the necessary considerations to outpatient care of neurosurgical oncology patients. RESULTS: There are limitations and advantages to incorporating telemedicine into the outpatient care of neuro-oncology patients. Telemedicine-specific considerations for each step and stakeholder of the appointment (physician, patient, scheduling, previsit, imaging, and physical examination) are examined. CONCLUSIONS: Telemedicine, pushed to prominence during this COVID-19 pandemic, is a powerful and possibly preferential tool for the future of outpatient neuro-oncologic care.