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Development and validation of new screening tool for predicting dementia risk in community-dwelling older Japanese adults

BACKGROUND: Established clinical assessments for detecting dementia risk often require time, cost, and face-to-face meetings. We aimed to develop a Simplified Telephone Assessment for Dementia risk (STAD) (a new screening tool utilizing telephonic interviews to predict dementia risk) and examine the...

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Autores principales: Makino, Keitaro, Lee, Sangyoon, Bae, Seongryu, Chiba, Ippei, Harada, Kenji, Katayama, Osamu, Shinkai, Yohei, Shimada, Hiroyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549197/
https://www.ncbi.nlm.nih.gov/pubmed/34702306
http://dx.doi.org/10.1186/s12967-021-03121-9
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author Makino, Keitaro
Lee, Sangyoon
Bae, Seongryu
Chiba, Ippei
Harada, Kenji
Katayama, Osamu
Shinkai, Yohei
Shimada, Hiroyuki
author_facet Makino, Keitaro
Lee, Sangyoon
Bae, Seongryu
Chiba, Ippei
Harada, Kenji
Katayama, Osamu
Shinkai, Yohei
Shimada, Hiroyuki
author_sort Makino, Keitaro
collection PubMed
description BACKGROUND: Established clinical assessments for detecting dementia risk often require time, cost, and face-to-face meetings. We aimed to develop a Simplified Telephone Assessment for Dementia risk (STAD) (a new screening tool utilizing telephonic interviews to predict dementia risk) and examine the predictive validity of the STAD for the incidence of dementia. METHODS: We developed STAD based on a combination of literature review, statistical analysis, and expert opinion. We selected 12 binary questions on subjective cognitive complaints, depressive symptoms, and lifestyle activities. In the validation study, we used STAD for 4298 community-dwelling older adults and observed the incidence of dementia during the 24-month follow-up period. The total score of STAD ranging from 0 to 12 was calculated, and the cut-off point for dementia incidence was determined using the Youden index. The survival rate of dementia incidence according to the cut-off points was determined. Furthermore, we used a decision-tree model (classification and regression tree, CART) to enhance the predictive ability of STAD for dementia risk screening. RESULTS: The cut-off point of STAD was set at 4/5. Participants scoring ≥ 5 points showed a significantly higher risk of dementia than those scoring ≤ 4 points, even after adjusting for covariates (hazard ratio [95% confidence interval], 2.67 [1.40–5.08]). A decision tree model using the CART algorithm was constructed using 12 nodes with three STAD items. It showed better performance for dementia prediction in terms of accuracy and specificity as compared to the logistic regression model, although its sensitivity was worse than the logistic regression model. CONCLUSIONS: We developed a 12-item questionnaire, STAD, as a screening tool to predict dementia risk utilizing telephonic interviews and confirmed its predictive validity. Our findings might provide useful information for early screening of dementia risk and enable bridging between community and clinical settings. Additionally, STAD could be employed without face-to-face meetings in a short time; therefore, it may be a suitable screening tool for community-dwelling older adults who have negative attitudes toward clinical examination or are non-adherent to follow-up assessments in clinical trials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-03121-9.
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spelling pubmed-85491972021-10-27 Development and validation of new screening tool for predicting dementia risk in community-dwelling older Japanese adults Makino, Keitaro Lee, Sangyoon Bae, Seongryu Chiba, Ippei Harada, Kenji Katayama, Osamu Shinkai, Yohei Shimada, Hiroyuki J Transl Med Research BACKGROUND: Established clinical assessments for detecting dementia risk often require time, cost, and face-to-face meetings. We aimed to develop a Simplified Telephone Assessment for Dementia risk (STAD) (a new screening tool utilizing telephonic interviews to predict dementia risk) and examine the predictive validity of the STAD for the incidence of dementia. METHODS: We developed STAD based on a combination of literature review, statistical analysis, and expert opinion. We selected 12 binary questions on subjective cognitive complaints, depressive symptoms, and lifestyle activities. In the validation study, we used STAD for 4298 community-dwelling older adults and observed the incidence of dementia during the 24-month follow-up period. The total score of STAD ranging from 0 to 12 was calculated, and the cut-off point for dementia incidence was determined using the Youden index. The survival rate of dementia incidence according to the cut-off points was determined. Furthermore, we used a decision-tree model (classification and regression tree, CART) to enhance the predictive ability of STAD for dementia risk screening. RESULTS: The cut-off point of STAD was set at 4/5. Participants scoring ≥ 5 points showed a significantly higher risk of dementia than those scoring ≤ 4 points, even after adjusting for covariates (hazard ratio [95% confidence interval], 2.67 [1.40–5.08]). A decision tree model using the CART algorithm was constructed using 12 nodes with three STAD items. It showed better performance for dementia prediction in terms of accuracy and specificity as compared to the logistic regression model, although its sensitivity was worse than the logistic regression model. CONCLUSIONS: We developed a 12-item questionnaire, STAD, as a screening tool to predict dementia risk utilizing telephonic interviews and confirmed its predictive validity. Our findings might provide useful information for early screening of dementia risk and enable bridging between community and clinical settings. Additionally, STAD could be employed without face-to-face meetings in a short time; therefore, it may be a suitable screening tool for community-dwelling older adults who have negative attitudes toward clinical examination or are non-adherent to follow-up assessments in clinical trials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-03121-9. BioMed Central 2021-10-26 /pmc/articles/PMC8549197/ /pubmed/34702306 http://dx.doi.org/10.1186/s12967-021-03121-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Makino, Keitaro
Lee, Sangyoon
Bae, Seongryu
Chiba, Ippei
Harada, Kenji
Katayama, Osamu
Shinkai, Yohei
Shimada, Hiroyuki
Development and validation of new screening tool for predicting dementia risk in community-dwelling older Japanese adults
title Development and validation of new screening tool for predicting dementia risk in community-dwelling older Japanese adults
title_full Development and validation of new screening tool for predicting dementia risk in community-dwelling older Japanese adults
title_fullStr Development and validation of new screening tool for predicting dementia risk in community-dwelling older Japanese adults
title_full_unstemmed Development and validation of new screening tool for predicting dementia risk in community-dwelling older Japanese adults
title_short Development and validation of new screening tool for predicting dementia risk in community-dwelling older Japanese adults
title_sort development and validation of new screening tool for predicting dementia risk in community-dwelling older japanese adults
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549197/
https://www.ncbi.nlm.nih.gov/pubmed/34702306
http://dx.doi.org/10.1186/s12967-021-03121-9
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