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impaired bed mobility in prediagnostic and de novo Parkinson’s disease

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AbstractBackgroundWearable technology research suggests that nocturnal movements are disturbed in early Parkinson’s disease (PD). In this study, we investigate if patients also already experience impaired bed mobility before PD diagnosis. Furthermore, we explore its association with motor and nonmotor features and its value for phenoconversion and disease progression prediction.MethodsPPMI data were downloaded for de novo PD subjects, subjects at-risk for developing a synucleinopathy (with isolated REM sleep behavior disorder, hyposmia or a pathogenic mutation) and controls. Impaired bed mobility was assessed with the MDS-UPDRS part 2 item 9. A frequency analysis was performed. Multivariable logistic regression analyses were used to investigate the association with other PD variables. Cox proportional-hazards models were used to test if difficulties with turning in bed could predict phenoconversion. Linear mixed models were used to evaluate if difficulties with turning in bed could predict disease progression.ResultsOf the at-risk subjects, 9.2-12.5% experienced difficulties with turning in bed vs. 25.0% of de novo PD subjects and 2.5% of controls. Impaired turning ability was associated with MDS-UPDRS motorscore (axial signs in the at-risk group, bradykinesia in the de novo PD group) and SCOPA-AUT score (gastrointestinal symptoms). In addition, difficulties with turning in bed were a significant predictor for phenoconversion in the at-risk group and for development of motor complications in the de novo PD group.ConclusionOur findings suggest that difficulties with turning in bed can be helpful as clinical symptom for a prodromal PD screening and for motor complication prediction in early PD.HighlightsSubjective difficulties with turning in bed are a prodromal PD symptom.Impaired bed mobility predicts synucleinopathy phenoconversion in at-risk groups.Impaired bed mobility predicts development of motor complications in de novo PD.
Title: impaired bed mobility in prediagnostic and de novo Parkinson’s disease
Description:
AbstractBackgroundWearable technology research suggests that nocturnal movements are disturbed in early Parkinson’s disease (PD).
In this study, we investigate if patients also already experience impaired bed mobility before PD diagnosis.
Furthermore, we explore its association with motor and nonmotor features and its value for phenoconversion and disease progression prediction.
MethodsPPMI data were downloaded for de novo PD subjects, subjects at-risk for developing a synucleinopathy (with isolated REM sleep behavior disorder, hyposmia or a pathogenic mutation) and controls.
Impaired bed mobility was assessed with the MDS-UPDRS part 2 item 9.
A frequency analysis was performed.
Multivariable logistic regression analyses were used to investigate the association with other PD variables.
Cox proportional-hazards models were used to test if difficulties with turning in bed could predict phenoconversion.
Linear mixed models were used to evaluate if difficulties with turning in bed could predict disease progression.
ResultsOf the at-risk subjects, 9.
2-12.
5% experienced difficulties with turning in bed vs.
25.
0% of de novo PD subjects and 2.
5% of controls.
Impaired turning ability was associated with MDS-UPDRS motorscore (axial signs in the at-risk group, bradykinesia in the de novo PD group) and SCOPA-AUT score (gastrointestinal symptoms).
In addition, difficulties with turning in bed were a significant predictor for phenoconversion in the at-risk group and for development of motor complications in the de novo PD group.
ConclusionOur findings suggest that difficulties with turning in bed can be helpful as clinical symptom for a prodromal PD screening and for motor complication prediction in early PD.
HighlightsSubjective difficulties with turning in bed are a prodromal PD symptom.
Impaired bed mobility predicts synucleinopathy phenoconversion in at-risk groups.
Impaired bed mobility predicts development of motor complications in de novo PD.

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