Development of a screening algorithm for Alzheimer's disease using categorical verbal fluency.

We developed a weighted composite score of the categorical verbal fluency test (CVFT) that can more easily and widely screen Alzheimer's disease (AD) than the mini-mental status examination (MMSE). We administered the CVFT using animal category and MMSE to 423 community-dwelling mild probable A...

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Autores principales:	Yeon Kyung Chi, Ji Won Han, Hyeon Jeong, Jae Young Park, Tae Hui Kim, Jung Jae Lee, Seok Bum Lee, Joon Hyuk Park, Jong Chul Yoon, Jeong Lan Kim, Seung-Ho Ryu, Jin Hyeong Jhoo, Dong Young Lee, Ki Woong Kim
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/164122d96ff84c748632d8e647c76be4
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spelling	oai:doaj.org-article:164122d96ff84c748632d8e647c76be42021-11-18T08:39:08ZDevelopment of a screening algorithm for Alzheimer's disease using categorical verbal fluency.1932-620310.1371/journal.pone.0084111https://doaj.org/article/164122d96ff84c748632d8e647c76be42014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24392109/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203We developed a weighted composite score of the categorical verbal fluency test (CVFT) that can more easily and widely screen Alzheimer's disease (AD) than the mini-mental status examination (MMSE). We administered the CVFT using animal category and MMSE to 423 community-dwelling mild probable AD patients and their age- and gender-matched cognitively normal controls. To enhance the diagnostic accuracy for AD of the CVFT, we obtained a weighted composite score from subindex scores of the CVFT using a logistic regression model: logit (case) = 1.160+0.474× gender +0.003× age +0.226× education level - 0.089× first-half score - 0.516× switching score -0.303× clustering score +0.534× perseveration score. The area under the receiver operating curve (AUC) for AD of this composite score AD was 0.903 (95% CI = 0.883 - 0.923), and was larger than that of the age-, gender- and education-adjusted total score of the CVFT (p<0.001). In 100 bootstrapped re-samples, the composite score consistently showed better diagnostic accuracy, sensitivity and specificity for AD than the total score. Although AUC for AD of the CVFT composite score was slightly smaller than that of the MMSE (0.930, p = 0.006), the CVFT composite score may be a good alternative to the MMSE for screening AD since it is much briefer, cheaper, and more easily applicable over phone or internet than the MMSE.Yeon Kyung ChiJi Won HanHyeon JeongJae Young ParkTae Hui KimJung Jae LeeSeok Bum LeeJoon Hyuk ParkJong Chul YoonJeong Lan KimSeung-Ho RyuJin Hyeong JhooDong Young LeeKi Woong KimPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 1, p e84111 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yeon Kyung Chi Ji Won Han Hyeon Jeong Jae Young Park Tae Hui Kim Jung Jae Lee Seok Bum Lee Joon Hyuk Park Jong Chul Yoon Jeong Lan Kim Seung-Ho Ryu Jin Hyeong Jhoo Dong Young Lee Ki Woong Kim Development of a screening algorithm for Alzheimer's disease using categorical verbal fluency.
description	We developed a weighted composite score of the categorical verbal fluency test (CVFT) that can more easily and widely screen Alzheimer's disease (AD) than the mini-mental status examination (MMSE). We administered the CVFT using animal category and MMSE to 423 community-dwelling mild probable AD patients and their age- and gender-matched cognitively normal controls. To enhance the diagnostic accuracy for AD of the CVFT, we obtained a weighted composite score from subindex scores of the CVFT using a logistic regression model: logit (case) = 1.160+0.474× gender +0.003× age +0.226× education level - 0.089× first-half score - 0.516× switching score -0.303× clustering score +0.534× perseveration score. The area under the receiver operating curve (AUC) for AD of this composite score AD was 0.903 (95% CI = 0.883 - 0.923), and was larger than that of the age-, gender- and education-adjusted total score of the CVFT (p<0.001). In 100 bootstrapped re-samples, the composite score consistently showed better diagnostic accuracy, sensitivity and specificity for AD than the total score. Although AUC for AD of the CVFT composite score was slightly smaller than that of the MMSE (0.930, p = 0.006), the CVFT composite score may be a good alternative to the MMSE for screening AD since it is much briefer, cheaper, and more easily applicable over phone or internet than the MMSE.
format	article
author	Yeon Kyung Chi Ji Won Han Hyeon Jeong Jae Young Park Tae Hui Kim Jung Jae Lee Seok Bum Lee Joon Hyuk Park Jong Chul Yoon Jeong Lan Kim Seung-Ho Ryu Jin Hyeong Jhoo Dong Young Lee Ki Woong Kim
author_facet	Yeon Kyung Chi Ji Won Han Hyeon Jeong Jae Young Park Tae Hui Kim Jung Jae Lee Seok Bum Lee Joon Hyuk Park Jong Chul Yoon Jeong Lan Kim Seung-Ho Ryu Jin Hyeong Jhoo Dong Young Lee Ki Woong Kim
author_sort	Yeon Kyung Chi
title	Development of a screening algorithm for Alzheimer's disease using categorical verbal fluency.
title_short	Development of a screening algorithm for Alzheimer's disease using categorical verbal fluency.
title_full	Development of a screening algorithm for Alzheimer's disease using categorical verbal fluency.
title_fullStr	Development of a screening algorithm for Alzheimer's disease using categorical verbal fluency.
title_full_unstemmed	Development of a screening algorithm for Alzheimer's disease using categorical verbal fluency.
title_sort	development of a screening algorithm for alzheimer's disease using categorical verbal fluency.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/164122d96ff84c748632d8e647c76be4
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Development of a screening algorithm for Alzheimer's disease using categorical verbal fluency.

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