%0 Journal Article
%A Seger, Aline
%A Ophey, Anja
%A Heitzmann, Wiebke
%A Doppler, Christopher E. J.
%A Lindner, Marie-Sophie
%A Brune, Corinna
%A Kickartz, Johanna
%A Dafsari, Haidar S.
%A Oertel, Wolfgang H.
%A Fink, Gereon R.
%A Jost, Stefanie T.
%A Sommerauer, Michael
%T Evaluation of a Structured Screening Assessment to Detect Isolated Rapid Eye Movement Sleep Behavior Disorder
%J Movement disorders
%V 38
%N 6
%@ 0885-3185
%C New York, NY
%I Wiley
%M FZJ-2023-02214
%P 990-999
%D 2023
%X 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
%F PUB:(DE-HGF)16
%9 Journal Article
%$ 37071758
%U <Go to ISI:>//WOS:000969916600001
%R 10.1002/mds.29389
%U https://juser.fz-juelich.de/record/1007829