• Je něco špatně v tomto záznamu ?

Reducing misclassification of mild cognitive impairment based on base rate information from the Uniform data set

T. Nikolai, F. Děchtěrenko, B. Yaffe, H. Georgi, M. Kopecek, M. Červenková, M. Vyhnálek, O. Bezdicek

. 2023 ; 30 (3) : 301-320. [pub] 20220110

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc23011672

The current study aimed to define and validate the criteria for characterizing possible and probable cognitive deficits based on the psychometric approach using the Uniform data set Czech version (UDS-CZ 2.0) to reduce the rate of misdiagnosis. We computed the prevalence of low scores on the 14 subtests of UDS-CZ 2.0 in a normative sample of healthy older adults and validated criteria for possible and probable cognitive impairment on the sample of amnestic Mild Cognitive Impairment (MCI) patients. The misclassification rate of the validation sample using psychometrically derived criteria remained low: for classification as possible impairment, we found 66-76% correct classification in the clinical sample and only 2-8% false positives in the healthy control validation sample, similar results were obtained for probable cognitive impairment. Our findings offer a psychometric approach and a computational tool to minimize the misdiagnosis of mild cognitive impairment compared to traditional criteria for MCI.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc23011672
003      
CZ-PrNML
005      
20240516092722.0
007      
ta
008      
230718s2023 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1080/13825585.2021.2022593 $2 doi
035    __
$a (PubMed)35012440
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Nikolai, Tomas $u Department of Psychology, Charles University, Faculty of Arts, Prague, Czech Republic $u Department of Neurology and Centre of Clinical Neuroscience, Charles University, First Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic $u Department of Clinical Psychology, Motol University Hospital, Czech Republic
245    10
$a Reducing misclassification of mild cognitive impairment based on base rate information from the Uniform data set / $c T. Nikolai, F. Děchtěrenko, B. Yaffe, H. Georgi, M. Kopecek, M. Červenková, M. Vyhnálek, O. Bezdicek
520    9_
$a The current study aimed to define and validate the criteria for characterizing possible and probable cognitive deficits based on the psychometric approach using the Uniform data set Czech version (UDS-CZ 2.0) to reduce the rate of misdiagnosis. We computed the prevalence of low scores on the 14 subtests of UDS-CZ 2.0 in a normative sample of healthy older adults and validated criteria for possible and probable cognitive impairment on the sample of amnestic Mild Cognitive Impairment (MCI) patients. The misclassification rate of the validation sample using psychometrically derived criteria remained low: for classification as possible impairment, we found 66-76% correct classification in the clinical sample and only 2-8% false positives in the healthy control validation sample, similar results were obtained for probable cognitive impairment. Our findings offer a psychometric approach and a computational tool to minimize the misdiagnosis of mild cognitive impairment compared to traditional criteria for MCI.
650    _2
$a lidé $7 D006801
650    _2
$a senioři $7 D000368
650    _2
$a neuropsychologické testy $7 D009483
650    12
$a Alzheimerova nemoc $x psychologie $7 D000544
650    12
$a kognitivní dysfunkce $x diagnóza $7 D060825
650    12
$a kognitivní poruchy $7 D003072
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Děchtěrenko, Filip $u Department of Psychology, Charles University, Faculty of Arts, Prague, Czech Republic $u Czech Academy of Sciences, Institute of Psychology, Praha, Czech Republic
700    1_
$a Yaffe, Beril $u Montefiore Medical Center, Bronx, New York, USA
700    1_
$a Georgi, Hana $u Prague College of Psychosocial Studies, Prague, Czech Republic
700    1_
$a Kopecek, Miloslav $u National Institute of Mental Health, Klecany, Czech Republic
700    1_
$a Červenková, Markéta $u Department of Neurology and Centre of Clinical Neuroscience, Charles University, First Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic
700    1_
$a Vyhnálek, Martin $u International Clinical Research Centre, St. Anne's University Hospital Brno, Brno, Czech Republic $u Memory Clinic, Department of Neurology, Second Faculty of Medicine and Motol University Hospital, Czech Republic
700    1_
$a Bezdicek, Ondrej $u Department of Psychology, Charles University, Faculty of Arts, Prague, Czech Republic $u Department of Neurology and Centre of Clinical Neuroscience, Charles University, First Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic $1 https://orcid.org/0000000251080181 $7 xx0106259
773    0_
$w MED00172422 $t Aging, neuropsychology and cognition $x 1744-4128 $g Roč. 30, č. 3 (2023), s. 301-320
856    41
$u https://pubmed.ncbi.nlm.nih.gov/35012440 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20230718 $b ABA008
991    __
$a 20240516092716 $b ABA008
999    __
$a ok $b bmc $g 1963865 $s 1197937
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2023 $b 30 $c 3 $d 301-320 $e 20220110 $i 1744-4128 $m Aging, neuropsychology and cognition $n Neuropsychol Dev Cogn B Aging Neuropsychol Cogn $x MED00172422
LZP    __
$a Pubmed-20230718

Najít záznam

Citační ukazatele

Možnosti archivace