Citations 2
Utility of the global CDR® plus NACC FTLD rating and development of scoring rules: Data from the ARTFL/LEFFTDS Consortium
Miyagawa, Toji , Brushaber, Danielle , Syrjanen, Jeremy A. , Kremers, Walter K. , Fields, Julie A. , Forsberg, Leah K. , Heuer, Hilary W. , Kornak, John , Boxer, Adam L. , Rosen, Howard J. , Bordelon, Yvette , Bove, Jessica, Brannelly, Patrick , Caso, Christina, Coppola, Giovanni , Dever, Reilly, Dheel, Christina, Dickinson, Susan, Domínguez, S. Carbajal, Domoto‐Reilly, Kimiko , Faber, Kelley , Ferrell, Jessica, Fishman, Ann, Gavrilova, Ralitza H. , Gearhart, Debra, Ghazanfari, Behnaz, Ghoshal, Nupur , Graff‐Radford, Jonathan , Graff‐Radford, Neill R. , Grant, Ian , Haley, Dana , Hsiung, Ging‐Yuek Robin , Huey, Edward D. , Irwin, David J. , Jones, Lynne C. , Kantarci, Kejal , Karydas, Anna, Kaufer, Daniel , Kraft, Ruth, Kramer, Joel H. , Kukull, Walter A. , Lucente, Diane , Lungu, Codrin , Mackenzie, Ian R. , Maldonado, Miranda, Manoochehri, Masood , McGinnis, Scott, McKinley, Emily , Mendez, Mario F. , Miller, Bruce L. , Multani, Namita, Onyike, Chiadi U. , Padmanabhan, Jaya , Pantelyat, Alexander , Pearlman, Rodney , Petrucelli, Leonard , Potter, Madeline, Rademakers, Rosa , Ramos, Eliana Marisa , Rankin, Kate, Rascovsky, Katya, Roberson, Erik D. , Rogalskı, Emily , Sengdy, Pheth, Shaw, Leslie M. , Tartaglia, Maria Carmela , Tatton, Nadine , Taylor, Joanne, Toga, Arthur W. , Trojanowski, John Q. , Wang, Ping , Weıntraub, Sandra , Wong, Bonnie , Irwin, David J , Hsiung, Gink-Yuek , Roberson, Erik , Miller, Bruce L , Kantarci, Kejal , Pantelyat, Alex , Tartaglia, Maria Carmela , Kremers, Walter K , Domoto-Reilly, Kimiko , Knopman, David S. , Boeve, Bradley F. , Appleby, Brian S. , Dickerson, Bradford Clark , Fong, Jamie , Foroud, Tatiana , Goldman, Jill , Grossman, Murray , Jones, David T. , Jones, Lynne, Kerwin, Diana , Litvan, Irene , Wszołek, Zbigniew K.
Alzheimer's & Dementia | January 16, 2020 | Volume: 16 | Issue: 1 | Pages: 106-117
AbstractIntroductionWe created global rating scoring rules for the CDR® plus NACC FTLD to detect and track early frontotemporal lobar degeneration (FTLD) and to conduct clinical trials in FTLD.MethodsThe CDR plus NACC FTLD rating was applied to 970 sporadic and familial participants from the baseline visit of Advancing Research and Treatment in Frontotemporal Lobar Degeneration (ARTFL)/Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS). Each of the eight domains of the CDR plus NACC FTLD was equally weighed in determining the global score. An interrater reliability study was completed for 40 participants.ResultsThe CDR plus NACC FTLD showed very good interrater reliability. It was especially useful in detecting clinical features of mild non‐fluent/agrammatic variant primary progressive aphasia participants.DiscussionThe global CDR plus NACC FTLD score could be an attractive outcome measure for clinical trials in symptomatic FTLD, and may be useful in natural history studies and clinical trials in FTLD spectrum disorders.
Nonlinear Z‐score modeling for improved detection of cognitive abnormality
Kornak, John , Fields, Julie A. , Kremers, Walter K. , Farmer, Sara A., Heuer, Hilary W. , Forsberg, Leah K. , Brushaber, Danielle , Rindels, Amy, Weıntraub, Sandra , Besser, Lilah M., Bordelon, Yvette , Bove, Jessica, Brannelly, Patrick , Caso, Christina, Coppola, Giovanni , Dever, Reilly, Dheel, Christina, Dickerson, Bradford, Dickinson, Susan, Domínguez, S. Carbajal, Domoto‐Reilly, Kimiko , Faber, Kelley , Ferrall, Jessica, Fishman, Ann, Gavrilova, Ralitza H. , Gearhart, Deb, Ghazanfari, Behnaz, Ghoshal, Nupur , Graff‐Radford, Jonathan , Graff‐Radford, Neill R. , Grant, Ian , Haley, Dana , Hsiao, John , Hsiung, Ging‐Yuek Robin , Huey, Edward D. , Irwin, David J. , Jones, Lynne C. , Kantarci, Kejal , Karydas, Anna, Kaufer, Daniel , Kraft, Ruth, Kramer, Joel H. , Kukull, Walter A. , Ljubenkov, Peter A. , Lucente, Diane , Lungu, Codrin , Mackenzie, Ian R. , Maldonado, Miranda, Manoochehri, Masood , McGinnis, Scott, McKinley, Emily , Mendez, Mario F. , Miller, Bruce L. , Multani, Namita, Onyike, Chiadi U. , Pantelyat, Alexander , Pearlman, Rodney , Petrucelli, Len, Potter, Madeline, Rademakers, Rosa , Ramos, Eliana Marisa , Rankin, Katherine P. , Rascovsky, Katya, Roberson, Erik D. , Rogalski-Miller, Emily, Sengdy, Pheth, Shaw, Les, Staffaroni, Adam M. , Sutherland, Margaret , Syrjanen, Jeremy A. , Tartaglia, Maria Carmela , Tatton, Nadine , Taylor, Joanne, Trojanowski, John Q. , Wong, Bonnie , Boxer, Adam L. , Rosen, Howard J. , Farmer, Sara, Irwin, David J , Hsiung, Gink-Yuek , Roberson, Erik , Miller, Bruce L , Kantarci, Kejal , Pantelyat, Alex , Tartaglia, Maria Carmela , Kremers, Walter K , Domoto-Reilly, Kimiko , Dodge, Hiroko Hayama , Appleby, Brian S. , Fong, Jamie , Foroud, Tatiana , Gearhart, Deb, Goldman, Jill , Grossman, Murray , Jones, David T. , Jones, Lynne, Kerwin, Diana , Knopman, David S. , Lapid, Maria I. , Litvan, Irene , Padmanabhan, Jaya , Toga, Arthur W. , Wang, Ping , Wszołek, Zbigniew K. , Boeve, Bradley F.
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring | December 5, 2019 | Volume: 11 | Issue: 1 | Pages: 797-808
AbstractIntroductionConventional Z‐scores are generated by subtracting the mean and dividing by the standard deviation. More recent methods linearly correct for age, sex, and education, so that these “adjusted” Z‐scores better represent whether an individual's cognitive performance is abnormal. Extreme negative Z‐scores for individuals relative to this normative distribution are considered indicative of cognitive deficiency.MethodsIn this article, we consider nonlinear shape constrained additive models accounting for age, sex, and education (correcting for nonlinearity). Additional shape constrained additive models account for varying standard deviation of the cognitive scores with age (correcting for heterogeneity of variance).ResultsCorrected Z‐scores based on nonlinear shape constrained additive models provide improved adjustment for age, sex, and education, as indicated by higher adjusted‐R2.DiscussionNonlinearly corrected Z‐scores with respect to age, sex, and education with age‐varying residual standard deviation allow for improved detection of non‐normative extreme cognitive scores.