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Full-Text Articles in Diagnosis

Estimating Dementia Risk In An African American Population Using The Dctclock, Marissa Ciesla, Jeff Pobst, Joyce Gomes-Osman, Melissa Lamar, Lisa L Barnes, Russell Banks, Ali Jannati, David Libon, Rodney Swenson, Sean Tobyne, David Bates, John Showalter, Alvaro Pascual-Leone Jan 2023

Estimating Dementia Risk In An African American Population Using The Dctclock, Marissa Ciesla, Jeff Pobst, Joyce Gomes-Osman, Melissa Lamar, Lisa L Barnes, Russell Banks, Ali Jannati, David Libon, Rodney Swenson, Sean Tobyne, David Bates, John Showalter, Alvaro Pascual-Leone

Rowan-Virtua School of Osteopathic Medicine Faculty Scholarship

The prevalence of Alzheimer's disease (AD) and related dementias (ADRD) is increasing. African Americans are twice as likely to develop dementia than other ethnic populations. Traditional cognitive screening solutions lack the sensitivity to independently identify individuals at risk for cognitive decline. The DCTclock is a 3-min AI-enabled adaptation of the well-established clock drawing test. The DCTclock can estimate dementia risk for both general cognitive impairment and the presence of AD pathology. Here we performed a retrospective analysis to assess the performance of the DCTclock to estimate future conversion to ADRD in African American participants from the Rush Alzheimer's Disease Research …


Nmd-12: A New Machine-Learning Derived Screening Instrument To Detect Mild Cognitive Impairment And Dementia, Pai-Yi Chiu, Haipeng Tang, Cheng-Yu Wei, Chaoyang Zhang, Guang-Uei Hung, Weihua Zhou Mar 2019

Nmd-12: A New Machine-Learning Derived Screening Instrument To Detect Mild Cognitive Impairment And Dementia, Pai-Yi Chiu, Haipeng Tang, Cheng-Yu Wei, Chaoyang Zhang, Guang-Uei Hung, Weihua Zhou

Faculty Publications

Introduction

Using machine learning techniques, we developed a brief questionnaire to aid neurologists and neuropsychologists in the screening of mild cognitive impairment (MCI) and dementia.

Methods

With the reduction of the survey size as a goal of this research, feature selection based on information gain was performed to rank the contribution of the 45 items corresponding to patient responses to the specified questions. The most important items were used to build the optimal screening model based on the accuracy, practicality, and interpretability. The diagnostic accuracy for discriminating normal cognition (NC), MCI, very mild dementia (VMD) and dementia was validated in …


Longitudinal Patterns Of Potentially Inappropriate Medication Use Following Incident Dementia Diagnosis, Christine M. Ramsey, Danijela Gnjidic, George O. Agogo, Heather Allore, Daniela Moga Jan 2018

Longitudinal Patterns Of Potentially Inappropriate Medication Use Following Incident Dementia Diagnosis, Christine M. Ramsey, Danijela Gnjidic, George O. Agogo, Heather Allore, Daniela Moga

Pharmacy Practice and Science Faculty Publications

Introduction: Potentially inappropriate medication (PIM) use in older adults with dementia is an understudied area. We assessed longitudinal changes in PIM exposure by dementia type following dementia diagnosis.

Methods: We followed 2448 participants aged ≥ 65 years (52% women, 85.5% Caucasian, mean age 80.9 ± 7.5 years) diagnosed with dementia after enrollment in the National Alzheimer's Coordinating Center (2005-2014). We estimated the association between dementia type and PIM annually for 2 years after diagnosis, using Generalized Estimating Equations.

Results:Participants with Lewy body dementia had more PIM use, and participants with frontotemporal dementia had less PIM use than participants with …


Longitudinal Measurement And Hierarchical Classification Framework For The Prediction Of Alzheimer's Disease, Meiyan Huang, Wei Yang, Qianjin Feng, Wufan Chen, Michael Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack Jr., William Jagust, John Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green, Andrew Saykin, John Morris, Leslie M. Shaw, Jeffrey Kaye, Joseph Quinn, Lisa Silbert, Betty Lind, Raina Carter, Sara Dolen, Lon S. Schneider, Sonia Pawluczyk, Mauricio Beccera, Liberty Teodoro, Bryan Spann, James Brewer, Helen Vanderswag, Adam Fleisher, Charles D. Smith, Greg A. Jicha, Peter A. Hardy, Partha Sinha, Elizabeth Oates, Gary Conrad Jan 2017

Longitudinal Measurement And Hierarchical Classification Framework For The Prediction Of Alzheimer's Disease, Meiyan Huang, Wei Yang, Qianjin Feng, Wufan Chen, Michael Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack Jr., William Jagust, John Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green, Andrew Saykin, John Morris, Leslie M. Shaw, Jeffrey Kaye, Joseph Quinn, Lisa Silbert, Betty Lind, Raina Carter, Sara Dolen, Lon S. Schneider, Sonia Pawluczyk, Mauricio Beccera, Liberty Teodoro, Bryan Spann, James Brewer, Helen Vanderswag, Adam Fleisher, Charles D. Smith, Greg A. Jicha, Peter A. Hardy, Partha Sinha, Elizabeth Oates, Gary Conrad

Neurology Faculty Publications

Accurate prediction of Alzheimer’s disease (AD) is important for the early diagnosis and treatment of this condition. Mild cognitive impairment (MCI) is an early stage of AD. Therefore, patients with MCI who are at high risk of fully developing AD should be identified to accurately predict AD. However, the relationship between brain images and AD is difficult to construct because of the complex characteristics of neuroimaging data. To address this problem, we present a longitudinal measurement of MCI brain images and a hierarchical classification method for AD prediction. Longitudinal images obtained from individuals with MCI were investigated to acquire important …


The Effects Of Testosterone Supplementation On Cognitive Functioning In Older Men, Eka Wahjoepramono, Prita Asih, Vilia Aniwiyanti, Kevin Taddei, Satvinder Dhaliwal, Stephanie Fuller, Jonathan Foster, Malcolm Carruthers, Giuseppe Verdile, Hamid R. Sohrabi, Ralph Martins Jan 2016

The Effects Of Testosterone Supplementation On Cognitive Functioning In Older Men, Eka Wahjoepramono, Prita Asih, Vilia Aniwiyanti, Kevin Taddei, Satvinder Dhaliwal, Stephanie Fuller, Jonathan Foster, Malcolm Carruthers, Giuseppe Verdile, Hamid R. Sohrabi, Ralph Martins

Research outputs 2014 to 2021

Reduction in testosterone levels in men during aging is associated with cognitive decline and risk of dementia. Animal studies have shown benefits for testosterone supplementation in improving cognition and reducing Alzheimer’s disease pathology. In a randomized, placebo-controlled, crossover study of men with subjective memory complaint and low testosterone levels, we investigated whether testosterone treatment significantly improved performance on various measures of cognitive functioning. Forty-four men were administered a battery of neuropsychological tests to establish the baseline prior to being randomly divided into two groups. The first group (Group A) received 24 weeks of testosterone treatment (T treatment) followed by 4 …