Predicting cognitive stage transition using p-tau181, Centiloid, and other measures

Hyuk Sung Kwon; Ji Young Kim; Seong Ho Koh; Seong Hye Choi; Eun Hye Lee; Jee Hyang Jeong; Jae Won Jang; Kyung Won Park; Eun Joo Kim; Jin Yong Hong; Soo Jin Yoon; Bora Yoon; Hyun Hee Park; Myung Hoon Han

doi:10.1002/alz.13054

Predicting cognitive stage transition using p-tau181, Centiloid, and other measures

Hyuk Sung Kwon, Ji Young Kim, Seong Ho Koh, Seong Hye Choi, Eun Hye Lee, Jee Hyang Jeong, Jae Won Jang, Kyung Won Park, Eun Joo Kim, Jin Yong Hong, Soo Jin Yoon, Bora Yoon, Hyun Hee Park, Myung Hoon Han

Department of Neurology

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

BACKGROUND: A combination of plasma phospho-tau (p-tau), amyloid beta (Aβ)-positron emission tomography (PET), brain magnetic resonance imaging, cognitive function tests, and other biomarkers might predict future cognitive decline. This study aimed to investigate the efficacy of combining these biomarkers in predicting future cognitive stage transitions within 3 years. METHODS: Among the participants in the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease (KBASE-V) study, 49 mild cognitive impairment (MCI) and 113 cognitively unimpaired (CU) participants with Aβ-PET and brain imaging data were analyzed. RESULTS: Older age, increased plasma p-tau181, Aβ-PET positivity, and decreased semantic fluency were independently associated with cognitive stage transitions. Combining age, p-tau181, the Centiloid scale, semantic fluency, and hippocampal volume produced high predictive value in predicting future cognitive stage transition (area under the curve = 0.879). CONCLUSIONS: Plasma p-tau181 and Centiloid scale alone or in combination with other biomarkers, might predict future cognitive stage transition in non-dementia patients. Highlights: -Plasma p-tau181 and Centiloid scale might predict future cognitive stage transition. -Combining them or adding other biomarkers increased the predictive value. -Factors that independently associated with cognitive stage transition were demonstrated.

Original language	English
Pages (from-to)	4641-4650
Number of pages	10
Journal	Alzheimer's and Dementia
Volume	19
Issue number	10
DOIs	https://doi.org/10.1002/alz.13054
State	Published - Oct 2023

Bibliographical note

Publisher Copyright:
© 2023 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.

Keywords

Alzheimer's disease
Centiloid
cognitive stage
p-tau
prognosis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/alz.13054

Cite this

@article{c3e49e0b11ad43de9941d216f376caba,

title = "Predicting cognitive stage transition using p-tau181, Centiloid, and other measures",

abstract = "BACKGROUND: A combination of plasma phospho-tau (p-tau), amyloid beta (Aβ)-positron emission tomography (PET), brain magnetic resonance imaging, cognitive function tests, and other biomarkers might predict future cognitive decline. This study aimed to investigate the efficacy of combining these biomarkers in predicting future cognitive stage transitions within 3 years. METHODS: Among the participants in the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease (KBASE-V) study, 49 mild cognitive impairment (MCI) and 113 cognitively unimpaired (CU) participants with Aβ-PET and brain imaging data were analyzed. RESULTS: Older age, increased plasma p-tau181, Aβ-PET positivity, and decreased semantic fluency were independently associated with cognitive stage transitions. Combining age, p-tau181, the Centiloid scale, semantic fluency, and hippocampal volume produced high predictive value in predicting future cognitive stage transition (area under the curve = 0.879). CONCLUSIONS: Plasma p-tau181 and Centiloid scale alone or in combination with other biomarkers, might predict future cognitive stage transition in non-dementia patients. Highlights: -Plasma p-tau181 and Centiloid scale might predict future cognitive stage transition. -Combining them or adding other biomarkers increased the predictive value. -Factors that independently associated with cognitive stage transition were demonstrated.",

keywords = "Alzheimer's disease, Centiloid, cognitive stage, p-tau, prognosis",

author = "Kwon, {Hyuk Sung} and Kim, {Ji Young} and Koh, {Seong Ho} and Choi, {Seong Hye} and Lee, {Eun Hye} and Jeong, {Jee Hyang} and Jang, {Jae Won} and Park, {Kyung Won} and Kim, {Eun Joo} and Hong, {Jin Yong} and Yoon, {Soo Jin} and Bora Yoon and Park, {Hyun Hee} and Han, {Myung Hoon}",

note = "Publisher Copyright: {\textcopyright} 2023 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.",

year = "2023",

month = oct,

doi = "10.1002/alz.13054",

language = "English",

volume = "19",

pages = "4641--4650",

journal = "Alzheimer's and Dementia",

issn = "1552-5260",

publisher = "John Wiley and Sons Inc.",

number = "10",

}

TY - JOUR

T1 - Predicting cognitive stage transition using p-tau181, Centiloid, and other measures

AU - Kwon, Hyuk Sung

AU - Kim, Ji Young

AU - Koh, Seong Ho

AU - Choi, Seong Hye

AU - Lee, Eun Hye

AU - Jeong, Jee Hyang

AU - Jang, Jae Won

AU - Park, Kyung Won

AU - Kim, Eun Joo

AU - Hong, Jin Yong

AU - Yoon, Soo Jin

AU - Yoon, Bora

AU - Park, Hyun Hee

AU - Han, Myung Hoon

PY - 2023/10

Y1 - 2023/10

N2 - BACKGROUND: A combination of plasma phospho-tau (p-tau), amyloid beta (Aβ)-positron emission tomography (PET), brain magnetic resonance imaging, cognitive function tests, and other biomarkers might predict future cognitive decline. This study aimed to investigate the efficacy of combining these biomarkers in predicting future cognitive stage transitions within 3 years. METHODS: Among the participants in the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease (KBASE-V) study, 49 mild cognitive impairment (MCI) and 113 cognitively unimpaired (CU) participants with Aβ-PET and brain imaging data were analyzed. RESULTS: Older age, increased plasma p-tau181, Aβ-PET positivity, and decreased semantic fluency were independently associated with cognitive stage transitions. Combining age, p-tau181, the Centiloid scale, semantic fluency, and hippocampal volume produced high predictive value in predicting future cognitive stage transition (area under the curve = 0.879). CONCLUSIONS: Plasma p-tau181 and Centiloid scale alone or in combination with other biomarkers, might predict future cognitive stage transition in non-dementia patients. Highlights: -Plasma p-tau181 and Centiloid scale might predict future cognitive stage transition. -Combining them or adding other biomarkers increased the predictive value. -Factors that independently associated with cognitive stage transition were demonstrated.

AB - BACKGROUND: A combination of plasma phospho-tau (p-tau), amyloid beta (Aβ)-positron emission tomography (PET), brain magnetic resonance imaging, cognitive function tests, and other biomarkers might predict future cognitive decline. This study aimed to investigate the efficacy of combining these biomarkers in predicting future cognitive stage transitions within 3 years. METHODS: Among the participants in the Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease (KBASE-V) study, 49 mild cognitive impairment (MCI) and 113 cognitively unimpaired (CU) participants with Aβ-PET and brain imaging data were analyzed. RESULTS: Older age, increased plasma p-tau181, Aβ-PET positivity, and decreased semantic fluency were independently associated with cognitive stage transitions. Combining age, p-tau181, the Centiloid scale, semantic fluency, and hippocampal volume produced high predictive value in predicting future cognitive stage transition (area under the curve = 0.879). CONCLUSIONS: Plasma p-tau181 and Centiloid scale alone or in combination with other biomarkers, might predict future cognitive stage transition in non-dementia patients. Highlights: -Plasma p-tau181 and Centiloid scale might predict future cognitive stage transition. -Combining them or adding other biomarkers increased the predictive value. -Factors that independently associated with cognitive stage transition were demonstrated.

KW - Alzheimer's disease

KW - Centiloid

KW - cognitive stage

KW - p-tau

KW - prognosis

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DO - 10.1002/alz.13054

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C2 - 36988152

AN - SCOPUS:85151960108

SN - 1552-5260

VL - 19

SP - 4641

EP - 4650

JO - Alzheimer's and Dementia

JF - Alzheimer's and Dementia

IS - 10

ER -

Predicting cognitive stage transition using p-tau181, Centiloid, and other measures

Abstract

Bibliographical note

Keywords

UN SDGs

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