Decoding the Clinical Features that Associate with Progression, Causes, and Outcomes in Patients with Suspected Rapidly Progressive Dementia.

Objective: To determine the clinical features that identify patients with suspected rapidly progressive dementia (RPD) who will develop RPD.

Methods: Patients with suspected RPD were enrolled and followed at Mayo Clinic (Jacksonville, FL; January 2020 to October 2023) and Washington University (Saint Louis, MO; June 2016 to December 2019). Two dementia specialists independently reviewed clinical data and assigned diagnoses.

Long term rescue of Alzheimer's deficits by one-time gene-editing of C-terminus.

Gene-editing technologies promise to create a new class of therapeutics that can achieve permanent correction with a single intervention. Besides eliminating mutant alleles in familial disease, gene-editing can also be used to favorably manipulate upstream pathophysiologic events and alter disease-course in wider patient populations, but few such feasible therapeutic avenues have been reported. Here we use CRISPR-Cas9 to edit the last exon of amyloid precursor protein (), relevant for Alzheimer's disease (AD).

Exosomes as biomarkers and therapy in type 2 diabetes mellitus and associated complications.

Type 2 diabetes mellitus (T2DM) is one of the most prevalent metabolic disorders worldwide. However, T2DM still remains underdiagnosed and undertreated resulting in poor quality of life and increased morbidity and mortality. Given this ongoing burden, researchers have attempted to locate new therapeutic targets as well as methodologies to identify the disease and its associated complications at an earlier stage.

Intramedullary Spinal Cord Abscess Management: Case Series, Operative Video, and Systematic Review.

Background: Intramedullary spinal cord abscess (ISCA) is an extremely rare disease, which has had fewer than 250 reported cases since its initial description in 1830. The condition is limited to level V evidence, limiting the ability for surgeons to characterize and treat it.

Objective: To report the cases of 2 patients with ISCA and their surgical management: a 59-year-old woman who presented with progressive right hemiparesis and a 69-old man who presented with acute gait instability and significant bilateral shoulder pain.

A Rare Presentation of a Complex Mixed Autoimmune Encephalitis Diagnosis: A Case Report and Literature Review.

This case report presents a unique case of a difficult differential diagnosis of autoimmune encephalitis (AE) in the setting of . A 40-year-old female with a history of Hashimoto thyroiditis, polycystic ovarian syndrome, and a lower respiratory infection presented to the emergency department with new-onset progressive neurological symptoms. These included generalized tonic-clonic seizure and worsening respiratory status that required intubation and tracheostomy.

Machine Learning for Predicting Discharge Disposition After Traumatic Brain Injury.

Background: Current traumatic brain injury (TBI) prognostic calculators are commonly used to predict the mortality and Glasgow Outcome Scale, but these outcomes are most relevant for severe TBI. Because mild and moderate TBI rarely reaches severe outcomes, there is a need for novel prognostic endpoints.

Objective: To generate machine learning (ML) models with a strong predictive capacity for trichotomized discharge disposition, an outcome not previously used in TBI prognostic models.

Machine Learning for Predicting In-Hospital Mortality After Traumatic Brain Injury in Both High-Income and Low- and Middle-Income Countries.

Background: Machine learning (ML) holds promise as a tool to guide clinical decision making by predicting in-hospital mortality for patients with traumatic brain injury (TBI). Previous models such as the international mission for prognosis and clinical trials in TBI (IMPACT) and the corticosteroid randomization after significant head injury (CRASH) prognosis calculators can potentially be improved with expanded clinical features and newer ML approaches.

Objective: To develop ML models to predict in-hospital mortality for both the high-income country (HIC) and the low- and middle-income country (LMIC) settings.

Perspectives into the possible effects of the B.1.1.7 variant of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on spermatogenesis.

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Comparison of Minimally Invasive Total versus Subtotal Resection of Spinal Tumors: A Systematic Review and Meta-Analysis.

Objective: With the advent of minimally invasive techniques, minimally invasive spine surgery (MISS) has become a realistic option for many spine cases. This study aims to evaluate the operative and clinical outcomes of MISS for total versus subtotal tumor resection from current evidence.

Methods: A literature search was performed using the search term (Minimally invasive surgery OR MIS) AND (spine tumor OR spinal tumor).

Malignant sublingual gland tumors: demographics, prognostic factors, and treatment outcomes.

Objective: To determine the demographic characteristics, prognostic factors, and optimal treatment modalities of patients diagnosed with malignant primary tumors of the sublingual gland.

Materials And Methods: The Surveillance, Epidemiology, and End Results (SEER) registry contains 210 patients diagnosed with sublingual gland tumors in the SEER database. Kaplan-Meier and multivariate Cox regression analysis were performed on age, sex, race, histologic subtype, stage, and treatment modality.

Epidemiology, Prognostic Factors, and Treatment of Malignant Submandibular Gland Tumors: A Population-Based Cohort Analysis.

Importance: Malignant tumors of the submandibular gland are uncommon, leading to limited information regarding prognostic factors and difficulty in evaluating treatment modalities.

Objective: To investigate the correlates of survival in patients with primary malignant tumors of the submandibular gland.

Design, Setting, And Participants: Data from 2626 patients with a diagnosis of primary tumors of the submandibular gland between 1973 and 2011 in the Surveillance, Epidemiology, and End Results database were used in a retrospective population-based cohort analysis.