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A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices.
Berron, David; Glanz, Wenzel; Clark, Lindsay; Basche, Kristin; Grande, Xenia; Güsten, Jeremie; Billette, Ornella V; Hempen, Ina; Naveed, Muhammad Hashim; Diersch, Nadine; Butryn, Michaela; Spottke, Annika; Buerger, Katharina; Perneczky, Robert; Schneider, Anja; Teipel, Stefan; Wiltfang, Jens; Johnson, Sterling; Wagner, Michael; Jessen, Frank; Düzel, Emrah.
Afiliação
  • Berron D; German Center for Neurodegenerative Diseases, Magdeburg, Germany. david.berron@dzne.de.
  • Glanz W; Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden. david.berron@dzne.de.
  • Clark L; neotiv GmbH, Magdeburg, Germany. david.berron@dzne.de.
  • Basche K; German Center for Neurodegenerative Diseases, Magdeburg, Germany.
  • Grande X; Institute for Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany.
  • Güsten J; Department of Medicine, Division of Geriatrics and Gerontology, University of Wisconsin, School of Medicine and Public Health, Madison, Wisconsin, US.
  • Billette OV; Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin, USA.
  • Hempen I; Department of Medicine, Division of Geriatrics and Gerontology, University of Wisconsin, School of Medicine and Public Health, Madison, Wisconsin, US.
  • Naveed MH; German Center for Neurodegenerative Diseases, Magdeburg, Germany.
  • Diersch N; Institute for Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany.
  • Butryn M; German Center for Neurodegenerative Diseases, Magdeburg, Germany.
  • Spottke A; Institute for Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany.
  • Buerger K; neotiv GmbH, Magdeburg, Germany.
  • Perneczky R; neotiv GmbH, Magdeburg, Germany.
  • Schneider A; neotiv GmbH, Magdeburg, Germany.
  • Teipel S; neotiv GmbH, Magdeburg, Germany.
  • Wiltfang J; German Center for Neurodegenerative Diseases, Magdeburg, Germany.
  • Johnson S; Institute for Cognitive Neurology and Dementia Research, Otto-von-Guericke University, Magdeburg, Germany.
  • Wagner M; German Center for Neurodegenerative Diseases, Bonn, Germany.
  • Jessen F; German Center for Neurodegenerative Diseases, Munich, Germany.
  • Düzel E; Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
NPJ Digit Med ; 7(1): 79, 2024 Mar 26.
Article em En | MEDLINE | ID: mdl-38532080
ABSTRACT
Remote monitoring of cognition holds the promise to facilitate case-finding in clinical care and the individual detection of cognitive impairment in clinical and research settings. In the context of Alzheimer's disease, this is particularly relevant for patients who seek medical advice due to memory problems. Here, we develop a remote digital memory composite (RDMC) score from an unsupervised remote cognitive assessment battery focused on episodic memory and long-term recall and assess its construct validity, retest reliability, and diagnostic accuracy when predicting MCI-grade impairment in a memory clinic sample and healthy controls. A total of 199 participants were recruited from three cohorts and included as healthy controls (n = 97), individuals with subjective cognitive decline (n = 59), or patients with mild cognitive impairment (n = 43). Participants performed cognitive assessments in a fully remote and unsupervised setting via a smartphone app. The derived RDMC score is significantly correlated with the PACC5 score across participants and demonstrates good retest reliability. Diagnostic accuracy for discriminating memory impairment from no impairment is high (cross-validated AUC = 0.83, 95% CI [0.66, 0.99]) with a sensitivity of 0.82 and a specificity of 0.72. Thus, unsupervised remote cognitive assessments implemented in the neotiv digital platform show good discrimination between cognitively impaired and unimpaired individuals, further demonstrating that it is feasible to complement the neuropsychological assessment of episodic memory with unsupervised and remote assessments on mobile devices. This contributes to recent efforts to implement remote assessment of episodic memory for case-finding and monitoring in large research studies and clinical care.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article