INS NYC 2024 Program

Poster	Poster Session 04 Program Schedule 02/15/2024 12:00 pm - 01:15 pm Room: Majestic Complex (Posters 61-120) Poster Session 04: Neuroimaging \| Neurostimulation/Neuromodulation \| Teleneuropsychology/Technology Final Abstract #80 Smartphone Assessment of Subjective Cognitive Concerns in Motoric Cognitive Risk Syndrome Caroline Nester, CUNY Graduate Center, New York, United States Ángel García de la Garza, Albert Einstein College of Medicine, Bronx, United States Jacqueline Mogle, Clemson University, Clemson, United States Cuiling Wang, Albert Einstein College of Medicine, Bronx, United States Mindy Katz, Albert Einstein College of Medicine, Bronx, United States Emmeline Ayers, Albert Einstein College of Medicine, Bronx, United States Richard Lipton, Albert Einstein College of Medicine, Bronx, United States Joe Verghese, Albert Einstein College of Medicine, Bronx, United States Laura Rabin, CUNY Brooklyn College, Brooklyn, United States Category: Teleneuropsychology/ Technology Keyword 1: motor speed Keyword 2: self-report Keyword 3: aging disorders Objective: Motoric Cognitive Risk Syndrome (MCR), a predementia condition that combines slow gait speed and subjective cognitive concerns (SCC), is inexpensive and simple to diagnose, which broadens diagnostic accessibility in resource-poor settings. The ability to diagnose MCR remotely via smartphone would further increase the convenance and applicability of this syndrome. In this pilot study, we investigated the utility of daily dairy reported SCC via smartphone, as compared to traditional paper and pencil in-clinic assessment of SCC, to detect clinical dementia status in individuals with MCR (diagnosed via traditional, in clinic methods). We hypothesized that smartphone SCC would perform similarly to traditional SCC measures in association with dementia status in participants with MCR. Participants and Methods: Einstein Aging Study participants (N=279, Mean_age=77.16±4.68, %female=67, Mean_education=14.94±3.62, %non-Hispanic white=44) completed the Daily Memory Lapses Checklist (DMLC) via smartphone (16-day daily dairy assessment of in vivo experiences of SCC) and a traditional in-person assessment of SCC (the Cognitive Change Index) at annual study visits. As part of the DMLC, participants were queried at the end of each sampling day with: “During the day today did you forget any of the following?” or “During the day today did you have any problems with?” They were presented items related to lapses in prospective memory (6-items; e.g., “To take medicine” or “to bring something with me”), retrospective memory (4-items; e.g., “Where something was placed” or “Someone’s name”), and executive functioning domains (7-items; e.g., “Keeping track of what you were doing” and “being organized”). Responses were quantified by average number of overall DMLC lapses, and memory (prospective and retrospective) and executive functioning subdomain lapses, within the yearly sampling period, with higher scores indicating worse experiences of SCC in daily life. Gait assessment and MCR diagnosis were assigned at baseline in-person evaluations (MCR n = 42, non-MCR n = 237). Clinical dementia status was determined through the Clinical Dementia Rating Scale, Sum of Boxes (CDR-SOB). Linear mixed-effects models were used to test the cross-sectional association between smartphone based and in-person SCC measures with total CDR-SOB, controlling for covariates. Both smartphone-derived variables and in-person assessments were standardized, and the associations were compared based on confidence intervals. Results: We found significant associations between SCC and CDR-SOB for both smartphone and in-person SCC measures in MCR participants. Our linear mixed-effects model revealed similar associations between smartphone-based and in-person SCC with CDR-SOB, as evidenced by the overlapping confidence intervals of the effects. On the DMLC, executive functioning related smartphone reported lapses showed a non-significant but marginally stronger association with CDR-SOB in MCR (beta=0.322, 95%CI 0.196-0.448, p<0.001) than memory lapses (beta = 0.248, 95% CI 0.106-0.391, p=0.001). Conclusions: These pilot results provide validation that smartphone SCC is similarly useful as traditional in-clinic SCC assessment to detect clinical dementia status in MCR. Results represent a step toward feasibility of remote, smartphone-based assessment of SCC in MCR. Findings warrant future research exploring a fully remote MCR diagnosis, with implications for dissemination of MCR in underserved, remote settings and more equitable access to early dementia detection.

Poster

02/15/2024
12:00 pm - 01:15 pm
Room: Majestic Complex (Posters 61-120)

Poster Session 04: Neuroimaging | Neurostimulation/Neuromodulation | Teleneuropsychology/Technology

Final Abstract #80

Smartphone Assessment of Subjective Cognitive Concerns in Motoric Cognitive Risk Syndrome

Caroline Nester, CUNY Graduate Center, New York, United States
Ángel García de la Garza, Albert Einstein College of Medicine, Bronx, United States
Jacqueline Mogle, Clemson University, Clemson, United States
Cuiling Wang, Albert Einstein College of Medicine, Bronx, United States
Mindy Katz, Albert Einstein College of Medicine, Bronx, United States
Emmeline Ayers, Albert Einstein College of Medicine, Bronx, United States
Richard Lipton, Albert Einstein College of Medicine, Bronx, United States
Joe Verghese, Albert Einstein College of Medicine, Bronx, United States
Laura Rabin, CUNY Brooklyn College, Brooklyn, United States

Category: Teleneuropsychology/ Technology

Keyword 1: motor speed
Keyword 2: self-report
Keyword 3: aging disorders

Objective:

Motoric Cognitive Risk Syndrome (MCR), a predementia condition that combines slow gait speed and subjective cognitive concerns (SCC), is inexpensive and simple to diagnose, which broadens diagnostic accessibility in resource-poor settings. The ability to diagnose MCR remotely via smartphone would further increase the convenance and applicability of this syndrome. In this pilot study, we investigated the utility of daily dairy reported SCC via smartphone, as compared to traditional paper and pencil in-clinic assessment of SCC, to detect clinical dementia status in individuals with MCR (diagnosed via traditional, in clinic methods). We hypothesized that smartphone SCC would perform similarly to traditional SCC measures in association with dementia status in participants with MCR.

Participants and Methods:

Einstein Aging Study participants (N=279, Mean_age=77.16±4.68, %female=67, Mean_education=14.94±3.62, %non-Hispanic white=44) completed the Daily Memory Lapses Checklist (DMLC) via smartphone (16-day daily dairy assessment of in vivo experiences of SCC) and a traditional in-person assessment of SCC (the Cognitive Change Index) at annual study visits. As part of the DMLC, participants were queried at the end of each sampling day with: “During the day today did you forget any of the following?” or “During the day today did you have any problems with?” They were presented items related to lapses in prospective memory (6-items; e.g., “To take medicine” or “to bring something with me”), retrospective memory (4-items; e.g., “Where something was placed” or “Someone’s name”), and executive functioning domains (7-items; e.g., “Keeping track of what you were doing” and “being organized”). Responses were quantified by average number of overall DMLC lapses, and memory (prospective and retrospective) and executive functioning subdomain lapses, within the yearly sampling period, with higher scores indicating worse experiences of SCC in daily life. Gait assessment and MCR diagnosis were assigned at baseline in-person evaluations (MCR n = 42, non-MCR n = 237). Clinical dementia status was determined through the Clinical Dementia Rating Scale, Sum of Boxes (CDR-SOB). Linear mixed-effects models were used to test the cross-sectional association between smartphone based and in-person SCC measures with total CDR-SOB, controlling for covariates. Both smartphone-derived variables and in-person assessments were standardized, and the associations were compared based on confidence intervals.

Results:

We found significant associations between SCC and CDR-SOB for both smartphone and in-person SCC measures in MCR participants. Our linear mixed-effects model revealed similar associations between smartphone-based and in-person SCC with CDR-SOB, as evidenced by the overlapping confidence intervals of the effects. On the DMLC, executive functioning related smartphone reported lapses showed a non-significant but marginally stronger association with CDR-SOB in MCR (beta=0.322, 95%CI 0.196-0.448, p<0.001) than memory lapses (beta = 0.248, 95% CI 0.106-0.391, p=0.001).

Conclusions:

These pilot results provide validation that smartphone SCC is similarly useful as traditional in-clinic SCC assessment to detect clinical dementia status in MCR. Results represent a step toward feasibility of remote, smartphone-based assessment of SCC in MCR. Findings warrant future research exploring a fully remote MCR diagnosis, with implications for dissemination of MCR in underserved, remote settings and more equitable access to early dementia detection.