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Essential tremor (ET) is the most common movement disorder globally and has negative impacts on quality of life. While medical treatments exist, approximately 50% of patients have tremor that is refractory to medication or experience intolerable medication side effects. Magnetic resonance-guided focused ultrasound (MRgFUS) thalamotomy is an option for these patients and while incisionless, it is still invasive, although less so than other surgical treatments such as deep brain stimulation and radiofrequency thalamotomy. Despite MRgFUS being FDA-approved since 2016, there is still no current consensus on the best approaches for targeting, imaging, and outcome measurement. A 2-day workshop held by the Focused Ultrasound Foundation in September of 2023 convened experts and critical stakeholders in the field to share their knowledge and experiences. The goals of the workshop were to determine the optimal target location within the thalamus and compare best practices for localizing the target and tracking patient outcomes. This paper summarizes the current landscape, important questions, and discussions that will help direct future treatments to improve patient care and outcomes.

Objective: Surgical intervention can be curative or palliative for drug-resistant focal epilepsy. However, if the seizure onset zone (SOZ) cannot be adequately localized via noninvasive tests, intracranial EEG (iEEG) recordings are often carried out to develop surgical plans in appropriate candidates. Stereotactic EEG (SEEG), subdural EEG (SDE), and SDE with depth electrodes (hybrid) are major tools used for investigation, but there is no class 1 or 2 evidence comparing the effectiveness of these modalities., Methods: The authors identified an institutional cohort of patients who underwent iEEG monitoring between 2001 and 2022. Demographic data, preoperative clinical features, iEEG intervention, and follow-up data were identified. Primary study endpoints included the following: 1) likelihood of SOZ localization; 2) likelihood of surgical treatment after iEEG; 3) seizure outcomes; and 4) complications., Results: A total of 329 patients were identified (176 in the SEEG, 60 in the SDE, and 93 in the hybrid cohort) who were followed for a median of 5.4 (IQR 6.8) years. Baseline characteristics, including demographics, mean age at epilepsy diagnosis, mean age at iEEG investigation, number of preoperative antiseizure medications, and preoperative seizure frequency, were not statistically different across the 3 cohorts. Patients in the SEEG cohort were more likely to have their SOZ localized than were the patients in the SDE group (OR 2.3) and were less likely to undergo subsequent resection (OR 0.3) or to have complications (OR 0.4), although there was no statistical difference with respect to likelihood of undergoing any subsequent neurosurgical treatment, or with respect to favorable seizure outcomes. Patients in the hybrid cohort were more likely to have SOZ localized than were patients in the SDE group (OR 3.1), but were more likely to undergo resection (OR 4.9) or any neurosurgical treatment (OR 2.5) compared to patients in the SEEG group. Patients in the hybrid cohort had better seizure outcomes compared to the SDE (OR 2.3) but not to the SEEG group., Conclusions: Patients in the SEEG group were more likely to have their SOZ localized and patients in the SDE group were more likely to undergo resection, but they did not differ with respect to seizure outcomes.

Objective: Stereoelectroencephalography (SEEG) and MRI-guided laser interstitial thermal therapy (MRgLITT) have emerged as safe, effective, and less invasive alternatives to subdural grid placement and open resection, respectively, for the localization and treatment of medically refractory epilepsy (MRE) in children. Reported pediatric experience combining these complementary techniques is limited, with traditional workflows separating electrode removal and ablation/resection. The authors describe the largest reported series of pediatric epilepsy patients who underwent MRgLITT following SEEG contrasted with a cohort that underwent craniotomy following SEEG, combining ablation/resection with electrode explantation as standard practice., Methods: The medical records of all patients with MRE who had undergone SEEG followed by MRgLITT or open resection/disconnection at Boston Children's Hospital between November 2015 and December 2020 were retrospectively reviewed. Primary outcome variables included surgical complication rates, length of hospital stay following treatment, and Engel classification at the last follow-up., Results: Of 74 SEEG patients, 27 (median age 12.1 years, 63% female) underwent MRgLITT and 47 (median age 12.1 years, 49% female) underwent craniotomy. Seventy patients (95%) underwent SEEG followed by combined electrode removal and treatment. Eight MRgLITT cases (30%) and no open cases targeted the insula (p < 0.001). Complication rates did not differ, although trends toward more subdural/epidural hematomas, infarcts, and permanent unanticipated neurological deficits were evident following craniotomy, whereas a trend toward more temporary unanticipated neurological deficits was seen following MRgLITT. The median duration of hospitalization after treatment was 3 and 5 days for MRgLITT and open cases, respectively (p = 0.078). Seizure outcomes were similar between the cohorts, with 74% of MRgLITT and craniotomy patients attaining Engel class I or II outcomes (p = 0.386) at the last follow-up (median 1.1 and 1.9 years, respectively)., Conclusions: MRgLITT and open resection following SEEG can both effectively treat MRE in pediatric patients and generally can be performed in a two-surgery workflow during a single hospitalization. In appropriately selected patients, MRgLITT tended to be associated with shorter hospitalizations and fewer complications following treatment and may be best suited for focal deep-seated targets associated with relatively challenging open surgical approaches.

Objective: Despite understanding the associated adverse outcomes, identifying hospitalized patients at risk for sepsis is challenging. The authors aimed to characterize the epidemiology and clinical risk of sepsis in patients who underwent vertebral fracture repair for traumatic spinal injury (TSI)., Methods: The authors conducted a retrospective cohort analysis of adults undergoing vertebral fracture repair during initial hospitalization after TSI who were registered in the National Trauma Data Bank from 2011 to 2014., Results: Of the 29,050 eligible patients undergoing vertebral fracture repair, 317 developed sepsis during initial hospitalization. Of these patients, most presented after a motor vehicle accident (63%) or fall (28%). Patients in whom sepsis developed had greater odds of being male (adjusted OR [aOR] 1.5, 95% CI 1.1-1.9), having diabetes mellitus (aOR 1.5, 95% CI 1.11-2.1), and being obese (aOR 1.9, 95% CI 1.4-2.5). Additionally, they had greater odds of presenting with moderate (aOR 2.7, 95% CI 1.8-4.2) or severe (aOR 3.9, 95% CI 2.9-5.2) Glasgow Coma Scale scores and of having concomitant abdominal injuries (aOR 1.9, 95% CI 1.5-2.5) but not cranial, thoracic, or lower-extremity injuries. Interestingly, cervical spine injury was significantly associated with developing sepsis (OR 1.4, 95% CI 1.1-1.8), but thoracic and lumbar spine injuries were not. Spinal cord injury (OR 1.9, 95% CI 1.5-2.5) was also associated with sepsis regardless of level. Patients with sepsis were hospitalized approximately 16 days longer. They had greater odds of being discharged to rehabilitative care or home with rehabilitative care (OR 2.4, 95% CI 1.8-3.2) and greater odds of death or discharge to hospice (OR 6.0, 95% CI 4.4-8.1)., Conclusions: Among patients undergoing vertebral fracture repair, those with cervical spine fractures, spinal cord injuries, preexisting comorbidities, and severe concomitant injuries are at highest risk for developing postoperative sepsis and experiencing adverse hospital disposition.

Objective: Venous thromboembolism (VTE) can cause significant morbidity and mortality in hospitalized patients, and may disproportionately occur in patients with limited mobility following spinal trauma. The authors aimed to characterize the epidemiology and clinical predictors of VTE in pediatric patients following traumatic spinal injuries (TSIs)., Methods: The authors conducted a retrospective cohort analysis of children who experienced TSI, including spinal fractures and spinal cord injuries, encoded within the National Trauma Data Bank from 2011 to 2014., Results: Of the 22,752 pediatric patients with TSI, 192 (0.8%) experienced VTE during initial hospitalization. Proportionally, more patients in the VTE group (77%) than in the non-VTE group (68%) presented following a motor vehicle accident. Patients developing VTE had greater odds of presenting with moderate (adjusted odds ratio [aOR] 2.6, 95% confidence interval [CI] 1.4-4.8) or severe Glasgow Coma Scale scores (aOR 4.3, 95% CI 3.0-6.1), epidural hematoma (aOR 2.8, 95% CI 1.4-5.7), and concomitant abdominal (aOR 2.4, 95% CI 1.8-3.3) and/or lower extremity (aOR 1.5, 95% CI 1.1-2.0) injuries. They also had greater odds of being obese (aOR 2.9, 95% CI 1.6-5.5). Neither cervical, thoracic, nor lumbar spine injuries were significantly associated with VTE. However, involvement of more than one spinal level was predictive of VTE (aOR 1.3, 95% CI 1.0-1.7). Spinal cord injury at any level was also significantly associated with developing VTE (aOR 2.5, 95% CI 1.8-3.5). Patients with VTE stayed in the hospital an adjusted average of 19 days longer than non-VTE patients. They also had greater odds of discharge to a rehabilitative facility or home with rehabilitative services (aOR 2.6, 95% CI 1.8-3.6)., Conclusions: VTE occurs in a low percentage of hospitalized pediatric patients with TSI. Injury severity is broadly associated with increased odds of developing VTE; specific risk factors include concomitant injuries such as cranial epidural hematoma, spinal cord injury, and lower extremity injury. Patients with VTE also require hospital-based and rehabilitative care at greater rates than other patients with TSI.

Objective: Nonroutine discharge after elective spine surgery increases healthcare costs, negatively impacts patient satisfaction, and exposes patients to additional hospital-acquired complications. Therefore, prediction of nonroutine discharge in this population may improve clinical management. The authors previously developed a machine learning algorithm from national data that predicts risk of nonhome discharge for patients undergoing surgery for lumbar disc disorders. In this paper the authors externally validate their algorithm in an independent institutional population of neurosurgical spine patients., Methods: Medical records from elective inpatient surgery for lumbar disc herniation or degeneration in the Transitional Care Program at Brigham and Women's Hospital (2013-2015) were retrospectively reviewed. Variables included age, sex, BMI, American Society of Anesthesiologists (ASA) class, preoperative functional status, number of fusion levels, comorbidities, preoperative laboratory values, and discharge disposition. Nonroutine discharge was defined as postoperative discharge to any setting other than home. The discrimination (c-statistic), calibration, and positive and negative predictive values (PPVs and NPVs) of the algorithm were assessed in the institutional sample., Results: Overall, 144 patients underwent elective inpatient surgery for lumbar disc disorders with a nonroutine discharge rate of 6.9% (n = 10). The median patient age was 50 years and 45.1% of patients were female. Most patients were ASA class II (66.0%), had 1 or 2 levels fused (80.6%), and had no diabetes (91.7%). The median hematocrit level was 41.2%. The neural network algorithm generalized well to the institutional data, with a c-statistic (area under the receiver operating characteristic curve) of 0.89, calibration slope of 1.09, and calibration intercept of -0.08. At a threshold of 0.25, the PPV was 0.50 and the NPV was 0.97., Conclusions: This institutional external validation of a previously developed machine learning algorithm suggests a reliable method for identifying patients with lumbar disc disorder at risk for nonroutine discharge. Performance in the institutional cohort was comparable to performance in the derivation cohort and represents an improved predictive value over clinician intuition. This finding substantiates initial use of this algorithm in clinical practice. This tool may be used by multidisciplinary teams of case managers and spine surgeons to strategically invest additional time and resources into postoperative plans for this population.