Dataset Information

Development and Validation of a Predictive Nomogram for Possible REM Sleep Behavior Disorders.

ABSTRACT:

Objectives

To develop and validate a predictive nomogram for idiopathic rapid eye movement (REM) sleep behavior disorder (RBD) in a community population in Beijing, China.

Methods

Based on the validated RBD questionnaire-Hong Kong (RBDQ-HK), we identified 78 individuals with possible RBD (pRBD) in 1,030 community residents from two communities in Beijing. The least absolute shrinkage and selection operator (LASSO) regression was applied to identify candidate features and develop the nomogram. Internal validation was performed using bootstrap resampling. The discrimination of the nomogram was evaluated using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, and the predictive accuracy was assessed via a calibration curve. Decision curve analysis (DCA) was performed to evaluate the clinical value of the model.

Results

From 31 potential predictors, 7 variables were identified as the independent predictive factors and assembled into the nomogram: family history of Parkinson's disease (PD) or dementia [odds ratio (OR), 4.59; 95% confidence interval (CI), 1.35-14.45; p = 0.011], smoking (OR, 3.24; 95% CI, 1.84-5.81; p < 0.001), physical activity (≥4 times/week) (OR, 0.23; 95% CI, 0.12-0.42; p < 0.001), exposure to pesticides (OR, 3.73; 95%CI, 2.08-6.65; p < 0.001), constipation (OR, 6.25; 95% CI, 3.58-11.07; p < 0.001), depression (OR, 3.66; 95% CI, 1.96-6.75; p < 0.001), and daytime somnolence (OR, 3.28; 95% CI, 1.65-6.38; p = 0.001). The nomogram displayed good discrimination, with original AUC of 0.885 (95% CI, 0.845-0.925), while the bias-corrected concordance index (C-index) with 1,000 bootstraps was 0.876. The calibration curve and DCA indicated the high accuracy and clinical usefulness of the nomogram.

Conclusions

This study proposed an effective nomogram with potential application in the individualized prediction for pRBD.

SUBMITTER: Lai H

PROVIDER: S-EPMC9277017 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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Publications

Development and Validation of a Predictive Nomogram for Possible REM Sleep Behavior Disorders.

Lai Hong H Li Xu-Ying XY Hu Junya J Li Wei W Xu Fanxi F Zhu Junge J He Raoli R Weng Huidan H Chen Lina L Yu Jiao J Li Xian X Song Yang Y Wang Xianling X Wang Zhanjun Z Li Wei W Kang Rong R Li Yuling Y Xu Junjie J Deng Yuanfei Y Ye Qinyong Q Wang Chaodong C

Frontiers in neurology 20220629

<h4>Objectives</h4>To develop and validate a predictive nomogram for idiopathic rapid eye movement (REM) sleep behavior disorder (RBD) in a community population in Beijing, China.<h4>Methods</h4>Based on the validated RBD questionnaire-Hong Kong (RBDQ-HK), we identified 78 individuals with possible RBD (pRBD) in 1,030 community residents from two communities in Beijing. The least absolute shrinkage and selection operator (LASSO) regression was applied to identify candidate features and develop t ...[more]

PMID: 35847229

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Project description:Study objectivesREM sleep behavior disorder (RBD) is associated with antidepressant treatment, especially in younger patients; but quantitative REM sleep without atonia (RSWA) analyses of psychiatric RBD patients remain limited. We analyzed RSWA in adults receiving antidepressants, with and without RBD.DesignWe comparatively analyzed visual, manual, and automated RSWA between RBD and control groups. RSWA metrics were compared between groups, and regression was used to explore associations with clinical variables.SettingTertiary-care sleep center.ParticipantsParticipants included traditional RBD without antidepressant treatment (n = 30, 15 Parkinson disease [PD-RBD] and 15 idiopathic); psychiatric RBD receiving antidepressants (n = 30); and adults without RBD, including antidepressant-treated psychiatric (n = 30), untreated psychiatric (n = 15), and OSA (n = 60) controls.InterventionsN/A.Measurements and resultsRSWA was highest in traditional and psychiatric RBD, intermediate in treated psychiatric controls, and lowest in untreated psychiatric and OSA controls (P < 0.01). RSWA distribution and type also differed between antidepressant-treated patients having higher values in anterior tibialis, and PD-RBD with higher submentalis and tonic RSWA. Psychiatric RBD had significantly younger age at onset than traditional RBD patients (P < 0.01).ConclusionsAntidepressant treatment was associated with elevated REM sleep without atonia (RSWA) even without REM sleep behavior disorder (RBD), suggesting that antidepressants, not depression, promote RSWA. Differences in RSWA distribution and type were also seen, with higher anterior tibialis RSWA in antidepressant-treated patients and higher tonic RSWA in Parkinson disease-RBD patients, which could aid distinction between RBD subtypes. These findings suggest that antidepressants may mediate different RSWA mechanisms or, alternatively, that RSWA type and distribution evolve during progressive neurodegeneration. Further prospective RSWA analyses are necessary to clarify the relationships between antidepressant treatment, psychiatric disease, and RBD.

Dataset Information

Development and Validation of a Predictive Nomogram for Possible REM Sleep Behavior Disorders.

Objectives

Methods

Results

Conclusions

Publications

Development and Validation of a Predictive Nomogram for Possible REM Sleep Behavior Disorders.

Similar Datasets

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