Bidirectional conversions of DemTect, MoCA and

Bidirectional conversions of DemTect, MoCA and MMSE in the context of Parkinson’s disease screening Jannik Florian Scheffels1, Hannah Kräling2, Elke Kalbe3, Josef Kessler1 Uniklinik Köln, Klinik und Poliklinik für Neurologie, Köln, Deutschland; 2Krankenhaus Lindenbrunn, Abteilung Neuropsychologie, Coppenbrügge, Deutschland; 3Uniklinik Köln, Medizinische Psychologie: Neuropsychologie und Genderforschung & Centrum für Neuropsychologische Diagnostik und Intervention (CeNDI), Köln, Deutschland 1

Introduction For a comprehensive specification and quantification of neuropsychological deficits in Parkinson’s disease as well as other neurological and psychiatric disorders, extensive neuropsychological assessment is needed. Due to its time intensiveness, this cannot be realised in every clinical setting. Therefore, screening instruments provide a first step. Because their selection differs between and sometimes even within clinics, a comparison of results in different screenings would be helpful for maintaining continuity and for follow-up studies. Objective This study aimed at creating conversion tables for the German-speaking area including sum scores on one screening instrument as well as their equivalent sum scores on another one. For this purpose, the three mostly used screening instruments Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and Dementia Detection Test (DemTect) were used. Methods In the Department of Neurology at the University Hospital of Cologne, 8240 patients suffering from neurological disorders including Parkinson’s disease patients were examined between 2008 and 2017. MMSE and DemTect were conducted with 6287, MoCA and MMSE with 536 as well as MoCA and DemTect with 543 patients. Conversion scores using total scores on these screenings were then computed by using the equipercentile equating method implemented in R Statistical Software. This method has already been used in English-speaking but not German-speaking countries with different patient populations (e.g. Parkinson’s disease or Stroke) and smaller sample sizes. It assumes equivalence of two scores on different tests if their percentile rank is similar (e.g. if in the same cohort a score of 21 in the MMSE and a score of 26 in the MoCA is at the 45th percentile, these two scores would be considered as being equivalent). Results Total scores on the MMSE and MoCA (r=0.74), DemTect and MoCA (r=0.70) as well as DemTect and MMSE (r=0.67) were highly correlated (p