Biomarkers.

Background: Approximately 10% of patients with acute SARS-CoV-2 infection present with persistent symptoms recognized as the long-COVID. Neurological and cognitive symptoms are prevalent in long-COVID, requiring a deeper understanding of the biological basis of this condition for potential therapeutic interventions. Cerebrovascular complications are observed during acute infection, underscoring the importance of understanding cerebrovascular outcomes.

Alzheimer's Imaging Consortium.

Background: Approximately 10% of patients with acute SARS-CoV-2 infection present with persistent symptoms recognized as the long-COVID. Neurological and cognitive symptoms are prevalent in long-COVID, requiring a deeper understanding of the biological basis of this condition for potential therapeutic interventions. Cerebrovascular complications are observed during acute infection, underscoring the importance of understanding cerebrovascular outcomes.

Machine learning-based prediction of disease progression in primary progressive multiple sclerosis.

Primary progressive multiple sclerosis (PPMS) affects 10-15% of multiple sclerosis patients and presents significant variability in the rate of disability progression. Identifying key biological features and patients at higher risk for fast progression is crucial to develop and optimize treatment strategies. Peripheral blood cell transcriptome has the potential to provide valuable information to predict patients' outcomes.

Association of Safety-Net hospital status and hospital outcomes following ACDF or PCDF for CSM.

Introduction: Safety net hospitals (SNH) serve a large proportion of patients with Medicaid or without insurance. However, few prior studies have addressed the impact of SNH status on outcomes following anterior cervical discectomy and fusion (ACDF) or posterior cervical decompression and fusion (PCDF) for cervical spondylotic myelopathy (CSM). The aim of this study was to assess the association between SNH status outcomes following ACDF or PCDF for CSM.

Factors Associated With Depression in Caregivers of Adults With Down Syndrome.

Background: Family caregivers of those with developmental disabilities have higher rates of depression and anxiety compared with caregivers of those without development disability. Few studies have examined factors that contribute to caregiver depression, including the appraisal of caregiving responsibilities and the physical fitness and daily function of the care recipient. The purpose of this study was to identify intrapersonal (caregiver) and interpersonal (care recipient) factors associated with depressive symptoms in caregivers of adults with Down syndrome (DS).