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O1‐05‐01: TRENDS IN INCIDENCE OF DEMENTIA AND ALZHEIMER'S DISEASE: RESULTS OF THE ALZHEIMER COHORTS CONSORTIUM
Author(s) -
Wolters Frank J.,
Chibnik Lori B.,
Waziry Reem,
Anderson Roy,
Bäckman Kristoffer,
Berr Claudine,
Beiser Alexa S.,
Bis Joshua C.,
Boerwinkle Eric,
Bos Daniel,
Brayne Carol,
Dartigues Jean-François,
Darweesh Sirwan K.,
Davis-Plourde Kendra,
Debette Stéphanie,
Dufouil Carole,
Evans Stephanie,
Fornage Myriam,
Goudsmit Jaap,
Grasset Leslie,
Gudnason Vilmundur,
Hadjichrysanthou Christoforos,
Helmer Catherine,
Ikram M. Arfan,
Ikram Kamran M.,
Kern Silke,
Kuller Lewis H.,
Launer Lenore J.,
Lopez Oscar L.,
Matthews Fiona,
McRae-McKee Kevin,
Meirelles Osorio,
Mosley Thomas H.,
Ower Alison,
Pase Matthew P.,
Psaty Bruce,
Satizabal Claudia L.,
Seshadri Sudha,
Skoog Ingmar,
Stephan Blossom CM.,
Tzourio Christophe,
Weverling Gerrit Jan,
Wolf Frank,
Wong Mei Mei,
Zettergren Anna,
Hofman Albert
Publication year - 2018
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2018.06.2354
Subject(s) - dementia , incidence (geometry) , demography , framingham heart study , medicine , confidence interval , gerontology , rotterdam study , population , alzheimer's disease , disease , cohort study , environmental health , framingham risk score , physics , sociology , optics
derived sensitivity, specificity and accuracy values using ROC curve analysis, and provided a predictive diagnostic algorithm using a classification tree analysis. Results:A total of 195 patients (amnestic AD-n1⁄472, AD language-n1⁄429, svPPA-n1⁄411, nfvPPA-n1⁄45, visualAD-n1⁄49, behavioral/dysexecutiveAD -n1⁄47, bvFTD-n1⁄410, Parkinson plus syndromes-n1⁄427, MCI-n1⁄421) were tested. The DCQ was found to have excellent internal reliability (Cronbach’s a coefficient1⁄4 0.87). Concurrent validity was excellent. A significant correlation was observed between the DCQ and MoCA (rS 1⁄4 0.67, p<. 0001) as well as MMSE and CDR (p<. 0001). Comparisons of the DCQ indices showed significant differences across dementia subtypes. A cut-off of 82/100 yielded the best sensitivity/specificity trade-off (86% and 84% respectively) andadiagnostic accuracyof 86%fordetecting atypical dementias. Amodel was obtained to distinguish between typical and atypical dementiawith a predictive powerof 79%.Conclusions:TheDCQis a valid and reliable cognitive screening tool for atypical dementing disorders, based on patterns of impairment across four key cognitive domains and a behavioural index. The DCQ is a valuable instrument to predict atypical dementia subtypes, beyond the MoCA.