A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices

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Fältnamn	Indikatorer	Metadata
000		05409naa a2200517 4500
001		oai:lup.lub.lu.se:ae228c8b-7a17-44d9-b7ca-eeb01ff9a7d1
003		SwePub
008		240412s2024 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://lup.lub.lu.se/record/ae228c8b-7a17-44d9-b7ca-eeb01ff9a7d12 URI
024	7	a https://doi.org/10.1038/s41746-024-00999-92 DOI
040		a (SwePub)lu
041		a engb eng
042		9 SwePub
072	7	a art2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Berron, Davidu Lund University,Lunds universitet,Klinisk minnesforskning,Forskargrupper vid Lunds universitet,LU profilområde: Proaktivt åldrande,Lunds universitets profilområden,Clinical Memory Research,Lund University Research Groups,LU Profile Area: Proactive Ageing,Lund University Profile areas,neotiv GmbH,German Center for Neurodegenerative Diseases (DZNE) Magdeburg4 aut0 (Swepub:lu)da1401be
245	1 0	a A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices
264	1	c 2024
520		a 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.
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Neurologi0 (SwePub)302072 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Neurology0 (SwePub)302072 hsv//eng
700	1	a Glanz, Wenzelu Otto von Guericke University Magdeburg4 aut
700	1	a Clark, Lindsayu University of Wisconsin-Madison4 aut
700	1	a Basche, Kristinu University of Wisconsin-Madison4 aut
700	1	a Grande, Xeniau Otto von Guericke University Magdeburg4 aut
700	1	a Güsten, Jeremieu German Center for Neurodegenerative Diseases (DZNE), Bonn,Otto von Guericke University Magdeburg4 aut
700	1	a Billette, Ornella V.u neotiv GmbH4 aut
700	1	a Hempen, Inau neotiv GmbH4 aut
700	1	a Naveed, Muhammad Hashimu neotiv GmbH4 aut
700	1	a Diersch, Nadineu neotiv GmbH4 aut
700	1	a Butryn, Michaelau German Center for Neurodegenerative Diseases (DZNE), Bonn,Otto von Guericke University Magdeburg4 aut
700	1	a Spottke, Annikau German Center for Neurodegenerative Diseases (DZNE), Bonn4 aut
700	1	a Buerger, Katharinau German Center for Neurodegenerative Diseases (DZNE), Bonn,University Hospital Munich4 aut
700	1	a Perneczky, Robertu University Hospital Munich,Munich Cluster for Systems Neurology,Imperial College London,German Center for Neurodegenerative Diseases (DZNE), Bonn4 aut
700	1	a Schneider, Anjau German Center for Neurodegenerative Diseases (DZNE), Bonn,University Hospital Bonn4 aut
700	1	a Teipel, Stefanu German Center for Neurodegenerative Diseases (DZNE), Bonn,Universitätsmedizin Rostock4 aut
700	1	a Wiltfang, Jensu German Center for Neurodegenerative Diseases (DZNE), Bonn,University Medical Center Göttingen4 aut
700	1	a Johnson, Sterlingu University of Wisconsin-Madison4 aut
700	1	a Wagner, Michaelu University Hospital Bonn,German Center for Neurodegenerative Diseases (DZNE), Bonn4 aut
700	1	a Jessen, Franku German Center for Neurodegenerative Diseases (DZNE), Bonn4 aut
700	1	a Düzel, Emrahu Otto von Guericke University Magdeburg,German Center for Neurodegenerative Diseases (DZNE), Bonn4 aut
710	2	a Klinisk minnesforskningb Forskargrupper vid Lunds universitet4 org
773	0	t npj Digital Medicineg 7:1q 7:1x 2398-6352
856	4	u http://dx.doi.org/10.1038/s41746-024-00999-9x freey FULLTEXT
856	4 8	u https://lup.lub.lu.se/record/ae228c8b-7a17-44d9-b7ca-eeb01ff9a7d1
856	4 8	u https://doi.org/10.1038/s41746-024-00999-9

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