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Impact of a clinical decision support tool on dementia diagnostics in memory clinics: The PredictND validation study

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Harvard

Bruun, M, Frederiksen, KS, Rhodius-Meester, HFM, Baroni, M, Gjerum, L, Koikkalainen, J, Urhemaa, T, Tolonen, A, van Gils, M, Tong, T, Guerrero, R, Rueckert, D, Dyremose, N, Andersen, BB, Simonsen, AH, Lemstra, A, Hallikainen, M, Kurl, S, Herukka, S-K, Remes, AM, Waldemar, G, Soininen, H, Mecocci, P, van der Flier, WM, Lötjönen, J & Hasselbalch, SG 2019, 'Impact of a clinical decision support tool on dementia diagnostics in memory clinics: The PredictND validation study', Current Alzheimer Research, bind 16, nr. 2, s. 91-101. https://doi.org/10.2174/1567205016666190103152425

APA

Bruun, M., Frederiksen, K. S., Rhodius-Meester, H. F. M., Baroni, M., Gjerum, L., Koikkalainen, J., Urhemaa, T., Tolonen, A., van Gils, M., Tong, T., Guerrero, R., Rueckert, D., Dyremose, N., Andersen, B. B., Simonsen, A. H., Lemstra, A., Hallikainen, M., Kurl, S., Herukka, S-K., ... Hasselbalch, S. G. (2019). Impact of a clinical decision support tool on dementia diagnostics in memory clinics: The PredictND validation study. Current Alzheimer Research, 16(2), 91-101. https://doi.org/10.2174/1567205016666190103152425

CBE

Bruun M, Frederiksen KS, Rhodius-Meester HFM, Baroni M, Gjerum L, Koikkalainen J, Urhemaa T, Tolonen A, van Gils M, Tong T, Guerrero R, Rueckert D, Dyremose N, Andersen BB, Simonsen AH, Lemstra A, Hallikainen M, Kurl S, Herukka S-K, Remes AM, Waldemar G, Soininen H, Mecocci P, van der Flier WM, Lötjönen J, Hasselbalch SG. 2019. Impact of a clinical decision support tool on dementia diagnostics in memory clinics: The PredictND validation study. Current Alzheimer Research. 16(2):91-101. https://doi.org/10.2174/1567205016666190103152425

MLA

Vancouver

Author

Bruun, Marie ; Frederiksen, Kristian S ; Rhodius-Meester, Hanneke F M ; Baroni, Marta ; Gjerum, Le ; Koikkalainen, Juha ; Urhemaa, Timo ; Tolonen, Antti ; van Gils, Mark ; Tong, Tong ; Guerrero, Ricardo ; Rueckert, Daniel ; Dyremose, Nadia ; Andersen, Birgitte Bo ; Simonsen, Anja Hviid ; Lemstra, Afina ; Hallikainen, Merja ; Kurl, Sudhir ; Herukka, Sanna-Kaisa ; Remes, Anne M ; Waldemar, Gunhild ; Soininen, Hilkka ; Mecocci, Patrizia ; van der Flier, Wiesje M ; Lötjönen, Jyrki ; Hasselbalch, Steen G. / Impact of a clinical decision support tool on dementia diagnostics in memory clinics : The PredictND validation study. I: Current Alzheimer Research. 2019 ; Bind 16, Nr. 2. s. 91-101.

Bibtex

@article{9448199253ee44e8bf72f23560f79b09,
title = "Impact of a clinical decision support tool on dementia diagnostics in memory clinics: The PredictND validation study",
abstract = "BACKGROUND: Determining the underlying etiology of dementia can be challenging. Computer- based Clinical Decision Support Systems (CDSS) have the potential to provide an objective comparison of data and assist clinicians.OBJECTIVES: To assess the diagnostic impact of a CDSS, the PredictND tool, for differential diagnosis of dementia in memory clinics.METHODS: In this prospective multicenter study, we recruited 779 patients with either subjective cognitive decline (n=252), mild cognitive impairment (n=219) or any type of dementia (n=274) and followed them for minimum 12 months. Based on all available patient baseline data (demographics, neuropsychological tests, cerebrospinal fluid biomarkers, and MRI visual and computed ratings), the PredictND tool provides a comprehensive overview and analysis of the data with a likelihood index for five diagnostic groups; Alzheimer´s disease, vascular dementia, dementia with Lewy bodies, frontotemporal dementia and subjective cognitive decline. At baseline, a clinician defined an etiological diagnosis and confidence in the diagnosis, first without and subsequently with the PredictND tool. The follow-up diagnosis was used as the reference diagnosis.RESULTS: In total, 747 patients completed the follow-up visits (53% female, 69±10 years). The etiological diagnosis changed in 13% of all cases when using the PredictND tool, but the diagnostic accuracy did not change significantly. Confidence in the diagnosis, measured by a visual analogue scale (VAS, 0-100%) increased (ΔVAS=3.0%, p<0.0001), especially in correctly changed diagnoses (ΔVAS=7.2%, p=0.0011).CONCLUSION: Adding the PredictND tool to the diagnostic evaluation affected the diagnosis and increased clinicians' confidence in the diagnosis indicating that CDSSs could aid clinicians in the differential diagnosis of dementia.",
keywords = "Alzheimer´s disease, CDSS, Computer-assisted diagnosis, Dementia with lewy body, Differential diagnosis, Frontotemporal disease, Neurodegenerative disease, Vascular dementia",
author = "Marie Bruun and Frederiksen, {Kristian S} and Rhodius-Meester, {Hanneke F M} and Marta Baroni and Le Gjerum and Juha Koikkalainen and Timo Urhemaa and Antti Tolonen and {van Gils}, Mark and Tong Tong and Ricardo Guerrero and Daniel Rueckert and Nadia Dyremose and Andersen, {Birgitte Bo} and Simonsen, {Anja Hviid} and Afina Lemstra and Merja Hallikainen and Sudhir Kurl and Sanna-Kaisa Herukka and Remes, {Anne M} and Gunhild Waldemar and Hilkka Soininen and Patrizia Mecocci and {van der Flier}, {Wiesje M} and Jyrki L{\"o}tj{\"o}nen and Hasselbalch, {Steen G}",
note = "Copyright{\textcopyright} Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.",
year = "2019",
doi = "10.2174/1567205016666190103152425",
language = "English",
volume = "16",
pages = "91--101",
journal = "Current Alzheimer Research",
issn = "1567-2050",
publisher = "Bentham Science Publishers Ltd",
number = "2",

}

RIS

TY - JOUR

T1 - Impact of a clinical decision support tool on dementia diagnostics in memory clinics

T2 - The PredictND validation study

AU - Bruun, Marie

AU - Frederiksen, Kristian S

AU - Rhodius-Meester, Hanneke F M

AU - Baroni, Marta

AU - Gjerum, Le

AU - Koikkalainen, Juha

AU - Urhemaa, Timo

AU - Tolonen, Antti

AU - van Gils, Mark

AU - Tong, Tong

AU - Guerrero, Ricardo

AU - Rueckert, Daniel

AU - Dyremose, Nadia

AU - Andersen, Birgitte Bo

AU - Simonsen, Anja Hviid

AU - Lemstra, Afina

AU - Hallikainen, Merja

AU - Kurl, Sudhir

AU - Herukka, Sanna-Kaisa

AU - Remes, Anne M

AU - Waldemar, Gunhild

AU - Soininen, Hilkka

AU - Mecocci, Patrizia

AU - van der Flier, Wiesje M

AU - Lötjönen, Jyrki

AU - Hasselbalch, Steen G

N1 - Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

PY - 2019

Y1 - 2019

N2 - BACKGROUND: Determining the underlying etiology of dementia can be challenging. Computer- based Clinical Decision Support Systems (CDSS) have the potential to provide an objective comparison of data and assist clinicians.OBJECTIVES: To assess the diagnostic impact of a CDSS, the PredictND tool, for differential diagnosis of dementia in memory clinics.METHODS: In this prospective multicenter study, we recruited 779 patients with either subjective cognitive decline (n=252), mild cognitive impairment (n=219) or any type of dementia (n=274) and followed them for minimum 12 months. Based on all available patient baseline data (demographics, neuropsychological tests, cerebrospinal fluid biomarkers, and MRI visual and computed ratings), the PredictND tool provides a comprehensive overview and analysis of the data with a likelihood index for five diagnostic groups; Alzheimer´s disease, vascular dementia, dementia with Lewy bodies, frontotemporal dementia and subjective cognitive decline. At baseline, a clinician defined an etiological diagnosis and confidence in the diagnosis, first without and subsequently with the PredictND tool. The follow-up diagnosis was used as the reference diagnosis.RESULTS: In total, 747 patients completed the follow-up visits (53% female, 69±10 years). The etiological diagnosis changed in 13% of all cases when using the PredictND tool, but the diagnostic accuracy did not change significantly. Confidence in the diagnosis, measured by a visual analogue scale (VAS, 0-100%) increased (ΔVAS=3.0%, p<0.0001), especially in correctly changed diagnoses (ΔVAS=7.2%, p=0.0011).CONCLUSION: Adding the PredictND tool to the diagnostic evaluation affected the diagnosis and increased clinicians' confidence in the diagnosis indicating that CDSSs could aid clinicians in the differential diagnosis of dementia.

AB - BACKGROUND: Determining the underlying etiology of dementia can be challenging. Computer- based Clinical Decision Support Systems (CDSS) have the potential to provide an objective comparison of data and assist clinicians.OBJECTIVES: To assess the diagnostic impact of a CDSS, the PredictND tool, for differential diagnosis of dementia in memory clinics.METHODS: In this prospective multicenter study, we recruited 779 patients with either subjective cognitive decline (n=252), mild cognitive impairment (n=219) or any type of dementia (n=274) and followed them for minimum 12 months. Based on all available patient baseline data (demographics, neuropsychological tests, cerebrospinal fluid biomarkers, and MRI visual and computed ratings), the PredictND tool provides a comprehensive overview and analysis of the data with a likelihood index for five diagnostic groups; Alzheimer´s disease, vascular dementia, dementia with Lewy bodies, frontotemporal dementia and subjective cognitive decline. At baseline, a clinician defined an etiological diagnosis and confidence in the diagnosis, first without and subsequently with the PredictND tool. The follow-up diagnosis was used as the reference diagnosis.RESULTS: In total, 747 patients completed the follow-up visits (53% female, 69±10 years). The etiological diagnosis changed in 13% of all cases when using the PredictND tool, but the diagnostic accuracy did not change significantly. Confidence in the diagnosis, measured by a visual analogue scale (VAS, 0-100%) increased (ΔVAS=3.0%, p<0.0001), especially in correctly changed diagnoses (ΔVAS=7.2%, p=0.0011).CONCLUSION: Adding the PredictND tool to the diagnostic evaluation affected the diagnosis and increased clinicians' confidence in the diagnosis indicating that CDSSs could aid clinicians in the differential diagnosis of dementia.

KW - Alzheimer´s disease

KW - CDSS

KW - Computer-assisted diagnosis

KW - Dementia with lewy body

KW - Differential diagnosis

KW - Frontotemporal disease

KW - Neurodegenerative disease

KW - Vascular dementia

UR - http://www.scopus.com/inward/record.url?scp=85061191635&partnerID=8YFLogxK

U2 - 10.2174/1567205016666190103152425

DO - 10.2174/1567205016666190103152425

M3 - Journal article

C2 - 30605060

VL - 16

SP - 91

EP - 101

JO - Current Alzheimer Research

JF - Current Alzheimer Research

SN - 1567-2050

IS - 2

ER -

ID: 56394271