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http://dx.doi.org/10.1213/ANE.0000000000007191 | DOI Listing |
Alzheimers Dement
December 2024
Center for Alzheimer's Research and Treatment, Brigham and Women's Hospital/Harvard Medical School, Boston, MA, USA.
Background: Medical history and healthcare utilization in preclinical Alzheimer's disease (AD) are not well characterized and may reveal indicators associated with asymptomatic stages of AD.
Methods: This retrospective observational study compared 246 Anti-Amyloid Treatment in Asymptomatic AD study (A4) individuals who met elevated brain amyloid eligibility criteria to 121 individuals in the companion Longitudinal Evaluation of Amyloid Risk and Neurodegeneration study (LEARN) who were eligible for A4 except did not meet elevated amyloid eligibility criteria. Matched-controls for A4/LEARN, using a 3:1 match of demographics, Medicare enrollment month, and frailty status, were randomly selected from Medicare beneficiaries without cognitive impairment/dementia claims.
BMC Public Health
January 2025
Meizhou Hospital of Guangzhou University of Chinese Medicine, Meizhou, Guangdong, China.
Objective: Hypertension increases the prevalence of depression to a certain extent and identification and diagnosis of depression frequently pose challenges for clinicians. The study aimed to construct and validate a scoring model predicting the prevalence of depression with hypertension.
Methods: 6124 individuals with hypertension were utilized from the 2007 to 2020 National Health and Nutrition Examination Survey database (NHANES), including 645 subjects that were assessed to have depressive symptoms, 390 in the development group and 255 in the validation group.
J Gastrointest Surg
January 2025
San Juan de Dios Foundation, Madrid, Spain; Comillas Pontifical University, Health Sciences, Department. San Juan de Dios School of Nursing and Physical Therapy, Madrid, Spain.
J Clin Neurol
January 2025
Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea.
Background And Purpose: Obstructive sleep apnea (OSA) is associated with an increased risk of adverse outcomes, including mortality. Machine-learning algorithms have shown potential in predicting clinical outcomes in patients with OSA. This study aimed to develop and evaluate a machine-learning algorithm for predicting 10- and 15-year all-cause mortality in patients with OSA.
View Article and Find Full Text PDFJ Bone Miner Metab
January 2025
Department of Orthopaedic Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Kita-15 Nishi-7, Kita-Ku, Sapporo, Hokkaido, 060-8638, Japan.
Introduction: Proximal femoral fractures are critically associated with increased risk of mortality and secondary fractures. Identifying prognosis predictors related to sagittal imbalance that are known to have negative impact on fracture risk and mortality is crucial. This study aimed to explore the relationship between various sagittal imbalance parameters and the prognosis of proximal femoral fractures to identify the most important prognostic indicators.
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