TY  - JOUR
AU  - Seger, Aline
AU  - Ophey, Anja
AU  - Heitzmann, Wiebke
AU  - Doppler, Christopher E. J.
AU  - Lindner, Marie-Sophie
AU  - Brune, Corinna
AU  - Kickartz, Johanna
AU  - Dafsari, Haidar S.
AU  - Oertel, Wolfgang H.
AU  - Fink, Gereon R.
AU  - Jost, Stefanie T.
AU  - Sommerauer, Michael
TI  - Evaluation of a Structured Screening Assessment to Detect Isolated Rapid Eye Movement Sleep Behavior Disorder
JO  - Movement disorders
VL  - 38
IS  - 6
SN  - 0885-3185
CY  - New York, NY
PB  - Wiley
M1  - FZJ-2023-02214
SP  - 990-999
PY  - 2023
AB  - ABSTRACT: Background: Isolated rapid eye movement(REM) sleep behavior disorder (iRBD) cohorts have providedinsights into the earliest neurodegenerative processes inα-synucleinopathies. Even though polysomnography (PSG)remains the gold standard for diagnosis, an accuratequestionnaire-based algorithm to identify eligible subjectscould facilitate efficient recruitment in research.Objective: This study aimed to optimize the identificationof subjects with iRBD from the general population.Methods: Between June 2020 and July 2021, we placednewspaper advertisements, including the single-questionscreen for RBD (RBD1Q). Participants’ evaluationsincluded a structured telephone screening consisting ofthe RBD screening questionnaire (RBDSQ) and additionalsleep-related questionnaires. We examined anamnesticinformation predicting PSG-proven iRBD using logisticregressions and receiver operating characteristic curves.Results: Five hundred forty-three participants answeredthe advertisements, and 185 subjects fulfilling inclusionand exclusion criteria were screened. Of these,124 received PSG after expert selection, and 78 (62.9%)were diagnosed with iRBD. Selected items of theRBDSQ, the Pittsburgh Sleep Quality Index, the STOPBangquestionnaire, and age predicted iRBD with highaccuracy in a multiple logistic regression model (areaunder the curve >80%). When comparing the algorithmto the sleep expert decision, 77 instead of 124 polysomnographies(62.1%) would have been carried out,and 63 (80.8%) iRBD patients would have been identified;32 of 46 (69.6%) unnecessary PSG examinationscould have been avoided.Conclusions: Our proposed algorithm displayed highdiagnostic accuracy for PSG-proven iRBD costeffectivelyand may be a convenient tool for research andclinical settings. External validation sets are warranted toprove reliability. © 2023 The Authors. Movement Disorderspublished by Wiley Periodicals LLC on behalf ofInternational Parkinson and Movement Disorder Society.Key Words: general population; Parkinson’s disease;prediction; questionnaire; rapid eye movement sleepbehavior disorder
LB  - PUB:(DE-HGF)16
C6  - 37071758
UR  - <Go to ISI:>//WOS:000969916600001
DO  - DOI:10.1002/mds.29389
UR  - https://juser.fz-juelich.de/record/1007829
ER  -