Details

Autor(en) / Beteiligte

• Boel, Judith A.
• Bie, Rob M.A.
• Schmand, Ben A.
• Dalrymple‐Alford, John C.
• Marras, Connie
• Adler, Charles H.
• Goldman, Jennifer G.
• Tröster, Alexander I.
• Burn, David J.
• Litvan, Irene
• Geurtsen, Gert J.
• Bernard, Bryan
• Stebbins, Glenn
• Filoteo, J. Vincent
• Weintraub, Daniel
• Caviness, John N.
• Belden, Christine
• Zabetian, Cyrus P.
• Cholerton, Brenna A.
• Huang, Xuemei
• Eslinger, Paul J.
• Leverenz, James B.
• Duff‐Canning, Sarah
• Farrer, Matt
• Anderson, Tim J.
• Myall, Daniel J.
• Naismith, Sharon L.
• Lewis, Simon J.G.
• Halliday, Glenda M.
• Wu, Ruey‐Meei
• Williams‐Gray, Caroline H.
• Breen, David P.
• Barker, Roger A.
• Yarnall, Alison J.
• Klein, Martin
• Mollenhauer, Brit
• Trenkwalder, Claudia
• Kulisevsky, Jaime
• Pagonabarraga, Javier
• Gasca‐Salas, Carmen
• Rodriguez‐Oroz, Maria C.
• Junque, Carme
• Segura, Barbara
• Barone, Paolo
• Santangelo, Gabriella
• Cammisuli, Davide M.
• Biundo, Roberta
• Antonini, Angelo
• Weis, Luca
• Pedersen, Kenn Freddy
• Alves, Guido

Titel

Level I PD‐MCI Using Global Cognitive Tests and the Risk for Parkinson's Disease Dementia

Ist Teil von

• Movement disorders clinical practice (Hoboken, N.J.), 2022-05, Vol.9 (4), p.479-483

Ort / Verlag

Hoboken, USA: John Wiley & Sons, Inc

Erscheinungsjahr

2022

Link zum Volltext

Quelle

Wiley Online Library - AutoHoldings Journals

Beschreibungen/Notizen

• ABSTRACT Background The criteria for PD‐MCI allow the use of global cognitive tests. Their predictive value for conversion from PD‐MCI to PDD, especially compared to comprehensive neuropsychological assessment, is unknown. Methods The MDS PD‐MCI Study Group combined four datasets containing global cognitive tests as well as a comprehensive neuropsychological assessment to define PD‐MCI (n = 467). Risk for developing PDD was examined using a Cox model. Global cognitive tests were compared to neuropsychological test batteries (Level I&II) in determining risk for PDD. Results PD‐MCI based on a global cognitive test (MMSE or MoCA) increases the hazard for developing PDD (respectively HR = 2.57, P = 0.001; HR = 4.14, P = <0.001). The C‐statistics for MMSE (0.72) and MoCA (0.70) were lower than those based on neuropsychological tests (Level I = 0.82; Level II = 0.81). Sensitivity, specificity and diagnostic accuracy balance was best in Level II. Conclusion MMSE and MoCA predict conversion to PDD. However, Level II neuropsychological assessment seems the preferred assessment for PD‐MCI.