Article
Multidisciplinary Sciences
Mingchao Zhou, Xiangxiang Liu, Fubing Zha, Fang Liu, Jing Zhou, Meiling Huang, Wei Luo, Weihao Li, Yuan Chen, Sheng Qu, Kaiwen Xue, Wanqi Fu, Yulong Wang
Summary: The Longshi Scale is found to have close relationships with the modified Rankin Scale and Barthel Index, making it an effective supplement for assessing outcomes in acute stroke patients.
Article
Clinical Neurology
Mohammed D. Rajab, Emmanuel Jammeh, Teruka Taketa, Carol Brayne, Fiona E. Matthews, Li Su, Paul G. Ince, Stephen B. Wharton, Dennis Wang
Summary: This study applies machine learning approaches to identify critical features of Alzheimer-related pathologies associated with dementia. Results show that Braak neurofibrillary tangle stage, beta-amyloid, and cerebral amyloid angiopathy are the most important features for dementia classification. The best-performing dementia classifier achieved 79% sensitivity, 69% specificity, and 75% precision using the top eight neuropathological features.
ALZHEIMERS RESEARCH & THERAPY
(2023)
Article
Mathematics, Applied
Fahimeh Tourani-Farani, Iraj Kazemi
Summary: Extensions of modeling continuously bounded and positive responses in regression contexts are important. We propose a novel modeling strategy using the generalized Johnson system of transformations, which allows for joint regression modeling of the median and precision parameters. This approach offers a convenient alternative to several regression models and includes features such as robust residual diagnostics.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2023)
Review
Cell Biology
Scott Ayton, Ashley Bush
Summary: Alzheimer's disease is a major disease without preventative or disease modifying therapy, and current drugs targeting amyloid beta have been unsuccessful in slowing cognitive decline. Debate is ongoing about whether to continue anti-A beta therapy or pursue alternative targets. The need for disease modifying AD therapies has become one of the highest priorities in all of medicine due to the growing burden of the disease on patients, families, and healthcare budgets.
AGEING RESEARCH REVIEWS
(2021)
Article
Geriatrics & Gerontology
Woori Moon, Ji Won Han, Jong Bin Bae, Seung Wan Suh, Tae Hui Kim, Kyung Phil Kwak, Bong Jo Kim, Shin Gyeom Kim, Jeong Lan Kim, Seok Woo Moon, Joon Hyuk Park, Seung-Ho Ryu, Jong Chul Youn, Dong Young Lee, Dong Woo Lee, Seok Bum Lee, Jung Jae Lee, Jin Hyeong Jhoo, Ki Woong Kim
Summary: This study investigated the disease burden of various dementias and mild cognitive impairment in a representative South Korean population, predicting a significant increase in disability-adjusted life-years and years lived with disability due to these conditions by 2065.
JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION
(2021)
Article
Psychology, Multidisciplinary
Justin Bushnell, Diana Svaldi, Matthew R. Ayers, Sujuan Gao, Frederick Unverzagt, John Del Gaizo, Virginia G. Wadley, Richard Kennedy, Joaquin Goni, David Glenn Clark
Summary: This study compared techniques for computing clustering and switching scores as predictors of incident cognitive impairment (ICI). The results showed that speed scores improved the prediction model for animal fluency, while letter fluency scores provided complementary information.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Clinical Neurology
Tim S. Ellison, Stefano F. Cappa, Dawne Garrett, Jean Georges, Takeshi Iwatsubo, Joel H. Kramer, Maryna Lehmann, Constantine Lyketsos, Andrea B. Maier, Jennifer Merrilees, John C. Morris, Sharon L. Naismith, Flavio Nobili, Marco Pahor, Dimity Pond, Louise Robinson, Pinar Soysal, Mathieu Vandenbulcke, Christopher J. Weber, Pieter Jelle Visser, Michael Weiner, Giovanni B. Frisoni
Summary: This study aims to provide guidance on prognosis and assessment indicators for patients with Alzheimer's clinical syndrome. A consensus was reached on priority outcomes, measures, and statements across nine domains using the Delphi method and modified GRADE criteria. This work provides clues for clinicians on the domains and relevant measurement tools that may be used to follow patients with cognitive impairment. More work is needed to develop measurement tools that are more feasible in the context of clinical routine.
ALZHEIMERS & DEMENTIA
(2023)
Article
Statistics & Probability
Soudabeh Hamedi-Shahraki, Aliakbar Rasekhi, Mohammad Reza Eshraghian, Mir Saeed Yekaninejad, Amir H. Pakpour
Summary: In this study, a regression model was used to model bounded outcome scores (BOS) following the Kumaraswamy distribution. The model estimated maximum likelihood estimates (MLEs) of parameters and conducted Monte Carlo simulations to investigate the finite-sample performance. Two practical applications of the model to real data sets were also presented and discussed.
PAKISTAN JOURNAL OF STATISTICS AND OPERATION RESEARCH
(2021)
Review
Immunology
Zachary Valiukas, Ramya Ephraim, Kathy Tangalakis, Majid Davidson, Vasso Apostolopoulos, Jack Feehan
Summary: Alzheimer's disease is a chronic neurodegenerative disorder characterized by the presence of toxic substances in the brain. Traditional drug treatments have limitations, leading to the exploration of immunotherapies, which target the production and deposition of these substances.
Article
Geriatrics & Gerontology
Miguel German Borda, Nicolas Castellanos-Perilla, Diego Alejandro Tovar-Rios, Ragnhild Oesterhus, Hogne Soennesyn, Dag Aarsland
Summary: The study found that in patients diagnosed with mild Alzheimer's disease or Lewy Body dementia, using more medications was associated with a faster functional decline, but not with cognitive decline. With disease progression, there was an increase in the number of medications prescribed, highlighting the need for careful assessment of medication use in dementia patients to potentially improve functional prognosis.
ARCHIVES OF GERONTOLOGY AND GERIATRICS
(2021)
Article
Clinical Neurology
Shorena Janelidze, Divya Bali, Nicholas J. Ashton, Nicolas R. Barthelemy, Jeroen Vanbrabant, Erik Stoops, Eugeen Vanmechelen, Yingxin He, Anna Orduna Dolado, Gallen Triana-Baltzer, Michael J. Pontecorvo, Henrik Zetterberg, Hartmuth Kolb, Manu Vandijck, Kaj Blennow, Randall J. Bateman, Oskar Hansson
Summary: Plasma phospho-tau species, especially p-tau217, show promise as blood-based biomarkers for Alzheimer's disease. This study compared the performance of different assays for p-tau181, p-tau217, and p-tau231 in detecting abnormal A beta status and predicting progression to Alzheimer's dementia. The mass spectrometry-based p-tau217 (p-tau217(WashU)) demonstrated the best performance, while several immunoassays, including p-tau217(Lilly), p-tau217(Janss), p-tau181(ADx), and p-tau181(WashU), showed high accuracy in both outcomes.
Article
Medicine, General & Internal
Federica Rossetto, Sara Isernia, Olivia Realdon, Francesca Borgnis, Valeria Blasi, Chiara Pagliari, Monia Cabinio, Margherita Alberoni, Fabrizia Mantovani, Mario Clerici, Francesca Baglio
Summary: This study evaluated a new model of rehabilitation for people with cognitive disabilities, using asynchronous telerehabilitation. The results showed that the asynchronous telerehabilitation model can meet the needs of a broad population and has positive effects on cognitive and behavioral abilities.
ANNALS OF MEDICINE
(2023)
Article
Clinical Neurology
Donald F. Weaver
Summary: The role of amyloid-beta (A beta) peptide in human physiology and pathology, particularly in Alzheimer's disease (AD), remains controversial. However, before understanding its role in AD, it is important to understand its normal physiological role. This study concludes that A beta is a cytokine based on an analysis of its structural and functional properties, leading to the merging of two leading hypotheses of AD.
ALZHEIMERS & DEMENTIA
(2023)
Article
Mathematics
Urko Aguirre-Larracoechea, Cruz E. Borges
Summary: The study compared the performance of the i-ZOIB imputation method with naive and machine-learning methods in addressing missing data in repeated bounded outcomes, with i-ZOIB and machine-learning methods such as ANN, SVR, and RF showing the best performance depending on the missingness rate and mechanism.
Article
Geriatrics & Gerontology
Lauren Gilstrap, Andrew Cohen, Gregory M. Ouellet, Parag Goyal, Barbara Gladders, Danette Flint, Jonathan Skinner
Summary: The use of beta-blockers in patients with heart failure with reduced ejection fraction (HFrEF) and Alzheimer's disease and related dementias (ADRD) is associated with lower mortality rates.
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
(2023)