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@INPROCEEDINGS{Platen:283082,
author = {Platen, Moritz and Buchholz, Maresa and Raedke, Anika and
Scharf, Annelie and Glaeser, Eva and Iskandar, Audrey and
Hoffmann, Wolfgang and Michalowsky, Bernhard},
title = {{D}ifferentiation between early and severe stages of
dementia using diagnosis, prescription and utilization
patterns},
journal = {Alzheimer's and dementia},
volume = {21},
number = {S6},
issn = {1552-5260},
reportid = {DZNE-2025-01489},
pages = {e100898},
year = {2025},
abstract = {Background:Routinely collected claims data often lack
clinical parameters like dementia severity, which are
essential for treatments targeting early disease stages.
Diagnoses, prescriptions, and healthcare service utilization
patterns are commonly used to infer dementia severity, but
evidence validating these patterns is limited.Objective:To
identify and validate predictors (diagnoses, prescriptions,
and utilization patterns) for differentiating early and more
severe dementia stages.Methods:This cross-sectional analysis
used baseline data from 737 dementia patients. Comprehensive
assessments captured clinical data and healthcare
utilization. Diagnoses and prescribed medications were
extracted from general practitioner files. Dementia severity
was categorized by the Mini-Mental State Examination (MMSE):
early (≥27), mild (20–26), and moderate/severe (0–19).
Ordinal logistic regression analyzed associations between
predictors and severity, with average marginal effects (AME)
quantifying their impact. Specificity and negative
predictive values (NPV) were calculated to exclude milder
stages.Results:The sample $(56\%$ female, mean age 80) was
classified as early $(18\%),$ mild $(43\%),$ or
moderate/severe $(39\%).$ Predictors of moderate/severe
dementia included differential dementia diagnoses (OR 1.78),
antipsychotics (OR 3.22), antidementia drugs (OR 2.12), and
having a care level. Conversely, the number of medications
(OR 0.91) and therapy use (occupational, speech, or
physical; OR 0.68) were associated with milder stages.
Antipsychotics reduced early-stage likelihood by $14\%$ and
increased moderate/severe likelihood by $21\%.$ Antidementia
drugs reduced early-stage likelihood by $9\%$ and increased
moderate/severe likelihood by $13\%.$ Care level reduced
early-stage probability by $2–16\%,$ while moderate/severe
probability increased by $3–34\%.$ Antidementia and
antipsychotic prescriptions showed a specificity of $95\%$
and an NPV of $81\%,$ reliably excluding early dementia. For
mild dementia, specificity was $94\%,$ but NPV dropped to
$52\%.$ Differential diagnoses and care levels had a
specificity of $86\%$ and NPV of $81\%,$ effectively
distinguishing early dementia.Conclusion:Prescription and
diagnostic patterns reliably distinguish early from severe
dementia, validating their use for inferring dementia stages
from claims data. Further research should refine these
predictors to support guideline-based, early-stage dementia
therapies.},
month = {Jul},
date = {2025-07-27},
organization = {Alzheimer’s Association
International Conference, Toronto
(Canada), 27 Jul 2025 - 31 Jul 2025},
cin = {AG Michalowsky / AG Hoffmann},
ddc = {610},
cid = {I:(DE-2719)5000067 / I:(DE-2719)1510600},
pnm = {353 - Clinical and Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)1 / PUB:(DE-HGF)16},
doi = {10.1002/alz70860_100898},
url = {https://pub.dzne.de/record/283082},
}