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Simple Summary: Due to limited published data and a lack of formal guidelines, the management of leiomyogenic spine tumors (LTS) is challenging. Here, we report the clinical characteristics of patients with LTSs, analyze treatment modalities and outcomes, and highlight prognostic factors associated with morbidity and survival. Additionally, we endeavor to delineate the efficacy of en bloc resection versus other surgical techniques and understand the impact of surgical techniques on surgical outcomes. In this study, we performed a systematic review of the literature to encapsulate the clinical characteristics of patients afflicted with LTSs, analyze treatment modalities and outcomes, and highlight prognostic factors that inform clinicians on morbidity and survival. The study cohort consisted of 83 patients with a mean age of 49.55 (SD 13.72) with a female preponderance (60 patients). Here, 32.14% of patients had primary LTS; the remaining were metastases. Clinical presentation included nonspecific back pain (57.83%), weakness (21.69%) and radicular pain (18.07%). History of uterine neoplasia was found in 33.73% of patients. LTS preferentially affected the thoracic spine (51.81%), followed by the lumbar (21.67%) spine. MRI alone was the most common imaging modality (33.33%); in other cases, it was used with CT (22.92%) or X-ray (16.67%); 19.23% of patients had Resection/Fixation, 15.38% had Total en bloc spondylectomy, and 10.26% had Corpectomy. A minority of patients had laminectomy and decompression. Among those with resection, 45.83% had a gross total resection, 29.17% had a subtotal resection, and 16.67% had a near total resection. Immunohistochemistry demonstrated positivity for actin (43.37%), desmin (31.33%), and Ki67 (25.30). At a follow-up of 19.3 months, 61.97% of patients were alive; 26.25% of 80 patients received no additional treatment, 23.75% received combination radiotherapy and chemotherapy, only chemotherapy was given to 20%, and radiotherapy was given to 17.5%. Few (2.5%) had further resection. For an average of 12.50 months, 42.31% had no symptoms, while others had residual (19.23%), other metastasis (15.38%), and pain (7.69%). On follow-up of 29 patients, most (68.97%) had resolved symptoms; 61.97% of the 71 patients followed were alive. [ABSTRACT FROM AUTHOR]

Background: Although uncommon, cerebellar contusions are associated with significant morbidity and mortality. Literature is lacking in the prognostic and morphological factors relating to their clinical picture and outcomes, especially within children. The objective of this study is to evaluate prognostic and anatomic factors in the clinical picture of cerebellar contusions, including effacement of the 4th ventricle and cisterna magna. Methods: This is a retrospective chart review over 11 years across two medical centers. Patients included were under 18 years who presented with a cerebellar contusion. Patients were stratified within the study group based on discharge Glasgow outcome scale (GOS) and reviewed for prognostic factors contributing to outcome. Mid sagittal area of the 4th ventricle and cisterna magna were measured using magnetic resonance imaging and compared within the groups. Results: A total of 21 patients met the study criteria, of which 16 (76.2%) were male, with an average patient age of 8.65 years. Poor outcome at discharge (GOS <4) was associated with decreased admission Glasgow coma scale (P = 0.003), admission motor response (P = 0.006), pupil reactivity (P = 0.014), presence of concomitant subarachnoid hemorrhage (P = 0.010), contusion volume (P < 0.001), and decreased area of the cisterna magna (P = 0.012). Patients with poor outcomes were also more likely to require surgical intervention (P = 0.042). Conclusion: There are multiple prognostic factors associated with the overall outcome following cerebellar contusions. The rate of good outcomes in this study was superior to that in previous studies in adults. [ABSTRACT FROM AUTHOR]

Introduction: Most people who are infected with the novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) are asymptomatic or present with mild upper respiratory symptoms. This is especially true in the pediatric population; however, rarely, a massive cytokine storm can develop, causing multisystem inflammatory syndrome associated with COVID (MIS-C). Furthermore, children may also suffer from acute ischemic strokes secondary to SARS-CoV-2 infection. Case Presentation: Here, we present a 2-year-old male who was admitted to the hospital with MIS-C and evidence of a previous SARS-CoV-2 infection. On postadmission day 2, the patient was in cardiogenic shock, had acute kidney injury, liver dysfunction, and metabolic acidosis. He had concurrent altered mental status, and his computed tomography scan showed ischemic infarcts in the territory of the right middle cerebral artery and superior cerebellar artery bilaterally. Magnetic resonance angiography confirmed occlusion of the right middle cerebral artery and right superior cerebellar artery. He underwent an emergent decompressive craniectomy due to rapid deterioration and cerebral edema. After the procedure, he continued to improve and was discharged with moderate disability that improved during outpatient rehab. Conclusion: Though rare in children, SARS-CoV-2 can lead to AIS, especially in the presence of underlying risk factors such as MIS-C and hypercoagulopathy. AIS can be associated with severe mortality and morbidity; however, even in this severe case of AIS, the patient was successfully treated with a decompressive craniectomy. [ABSTRACT FROM AUTHOR]

The reactions and opinions of 312 American undergraduates on the manner of acquisition of affluence are presented and analyzed.

Introduction: There is a dearth of literature regarding prognostic and predictive factors for outcome following pediatric decompressive craniectomy (DC) following traumatic brain injury (TBI). The aim of this study was to develop a random forest machine learning algorithm to predict outcomes following DC in pediatrics., Methods and Materials: This is a multi-institutional retrospective study assessing the 6-month postoperative outcome in pediatric patients that underwent DC. We developed a machine learning model using classification and survival random forest algorithms (CRF and SRF respectively) for the prediction of outcomes. Data was collected on clinical signs, radiographic studies, and laboratory studies. The outcome measures for the CRF were mortality and good or bad outcome based on Glasgow Outcome Scale (GOS) at 6-months. A GOS score of 4 or higher indicated a good outcome. The outcomes for the SRF model assessed mortality at during the follow-up period., Results: A total of 40 pediatric patients were included. There was a hospital mortality rate of 27.5%, and 75.8% of survivors had a good outcome at 6-month follow up. The CRF for 6-month mortality had a ROC AUC of 0.984; whereas, the 6-month good/bad outcome had a ROC AUC of 0.873. The SRF was trained at the 6-month timepoint with a ROC AUC of 0.921., Conclusion: CRF and SRF models successfully predicted 6-month outcomes and mortality following DC in pediatric TBI patients. These results suggest random forest models may be efficacious for predicting outcome in this patient population., (Copyright © 2024 Elsevier Inc. All rights reserved.)