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ADCOMS sensitivity versus baseline diagnosis and progression phenotypes

ADCOMS sensitivity versus baseline diagnosis and progression phenotypes
ADCOMS sensitivity versus baseline diagnosis and progression phenotypes

Background: the Alzheimer's Disease COMposite Score (ADCOMS) is more sensitive in clinical trials than conventional measures when assessing pre-dementia. This study compares ADCOMS trajectories using clustered progression characteristics to better understand different patterns of decline.

Methods: post-baseline ADCOMS values were analyzed for sensitivity using mean-to-standard deviation ratio (MSDR), partitioned by baseline diagnosis, comparing with the original scales upon which ADCOMS is based. Because baseline diagnosis was not a particularly reliable predictor of progression, individuals were also grouped into similar ADCOMS progression trajectories using clustering methods and the MSDR compared for each progression group.

Results: ADCOMS demonstrated increased sensitivity for clinically important progression groups. ADCOMS did not show statistically significant sensitivity or clinical relevance for the less-severe baseline diagnoses and marginal progression groups.

Conclusions: this analysis complements and extends previous work validating the sensitivity of ADCOMS. The large data set permitted evaluation-in a novel approach-by the clustered progression group.

ADCOMS, Alzheimer's Disease, clustering, longitudinal change
2352-8729
Evenden, Dave
0d37c749-b2c4-4feb-9578-3a30fb72463f
Prosser, Angus
de1efee5-67f5-478e-8cfa-12a8e78a68e5
Michopoulou, Sofia
f21ba2a3-f5d3-4998-801f-1ae72ff5d92c
Kipps, Christopher
e43be016-2dc2-45e6-9a02-ab2a0e0208d5
Evenden, Dave
0d37c749-b2c4-4feb-9578-3a30fb72463f
Prosser, Angus
de1efee5-67f5-478e-8cfa-12a8e78a68e5
Michopoulou, Sofia
f21ba2a3-f5d3-4998-801f-1ae72ff5d92c
Kipps, Christopher
e43be016-2dc2-45e6-9a02-ab2a0e0208d5

Evenden, Dave, Prosser, Angus, Michopoulou, Sofia and Kipps, Christopher (2024) ADCOMS sensitivity versus baseline diagnosis and progression phenotypes. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 16 (1), [e12540]. (doi:10.1002/dad2.12540).

Record type: Article

Abstract

Background: the Alzheimer's Disease COMposite Score (ADCOMS) is more sensitive in clinical trials than conventional measures when assessing pre-dementia. This study compares ADCOMS trajectories using clustered progression characteristics to better understand different patterns of decline.

Methods: post-baseline ADCOMS values were analyzed for sensitivity using mean-to-standard deviation ratio (MSDR), partitioned by baseline diagnosis, comparing with the original scales upon which ADCOMS is based. Because baseline diagnosis was not a particularly reliable predictor of progression, individuals were also grouped into similar ADCOMS progression trajectories using clustering methods and the MSDR compared for each progression group.

Results: ADCOMS demonstrated increased sensitivity for clinically important progression groups. ADCOMS did not show statistically significant sensitivity or clinical relevance for the less-severe baseline diagnoses and marginal progression groups.

Conclusions: this analysis complements and extends previous work validating the sensitivity of ADCOMS. The large data set permitted evaluation-in a novel approach-by the clustered progression group.

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Alz Dem Diag Ass Dis Mo - 2024 - Evenden - ADCOMS sensitivity versus baseline diagnosis and progression phenotypes - Version of Record
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More information

Accepted/In Press date: 19 December 2023
e-pub ahead of print date: 23 February 2024
Published date: 23 February 2024
Keywords: ADCOMS, Alzheimer's Disease, clustering, longitudinal change

Identifiers

Local EPrints ID: 489359
URI: http://eprints.soton.ac.uk/id/eprint/489359
ISSN: 2352-8729
PURE UUID: 13987cd2-70c6-4ff7-9817-9480996e4831
ORCID for Angus Prosser: ORCID iD orcid.org/0000-0003-2705-1222
ORCID for Christopher Kipps: ORCID iD orcid.org/0000-0002-5205-9712

Catalogue record

Date deposited: 22 Apr 2024 16:43
Last modified: 18 May 2024 01:58

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Contributors

Author: Dave Evenden
Author: Angus Prosser ORCID iD
Author: Sofia Michopoulou
Author: Christopher Kipps ORCID iD

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