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| 001 | 1007829 | ||
| 005 | 20240226075242.0 | ||
| 024 | 7 | _ | |a 10.1002/mds.29389 |2 doi |
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| 100 | 1 | _ | |a Seger, Aline |0 P:(DE-Juel1)184882 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a Evaluation of a Structured Screening Assessment to Detect Isolated Rapid Eye Movement Sleep Behavior Disorder |
| 260 | _ | _ | |a New York, NY |c 2023 |b Wiley |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 520 | _ | _ | |a 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 |
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