Electronic health records to test influence of race and multimorbidity on plasma biomarkers

In this real-world dataset, we identified effects of comorbidities (LDL-cholesterol, diabetes, liver, and kidney functioning) on plasma biomarkers. The p-tau217/Aβ42 ratio had low rates of undetermined, and it may help to account for effects of morbidities on plasma levels; still, creatinine remained a significant confound.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_097254
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Electronic health records to test influence of race and multimorbidity on plasma biomarkers

Colleen Morse, L. Shaw, David A. Wolk, Rory Boyle et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Electronic health records to test influence of race and multimorbidity on plasma biomarkers

Colleen Morse, L. Shaw, David A. Wolk, Rory Boyle, Nadia Dehghani, Katheryn A. Q. Cousins, Marina Serper, Anurag Verma, Corey T. McMillan
article en

Abstract

In this real-world dataset, we identified effects of comorbidities (LDL-cholesterol, diabetes, liver, and kidney functioning) on plasma biomarkers. The p-tau217/Aβ42 ratio had low rates of undetermined, and it may help to account for effects of morbidities on plasma levels; still, creatinine remained a significant confound.

Alzheimer s & DementiaVol. 21(S2)
University of Pennsylvania (US)
Openalex Percentile: Top 34%
Dementia and Cognitive Impairment Research
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