Validation of a non-motor fluctuations questionnaire in Parkinson's disease

ON/OFF non-motor evaluation: a new way to evaluate non-motor fluctuations in Parkinson's disease

BACKGROUND

NMF are currently poorly evaluated in therapeutic decisions. A quantification of their severity would facilitate their integration. The objective of this study was to validate an autoquestionnaire evaluating the severity of non-motor fluctuations (NMF) in Parkinson's disease (PD).

METHODS

Patients with PD were included in presurgical situation for deep brain stimulation of subthalamic nuclei. They participated in the PREDISTIM cohort (a study evaluating the predictive factors for therapeutic response of subthalamic stimulation in PD) in 17 centres in France. Our questionnaire, resulting from previous phases of development, included 11 non-motor symptoms (NMS). Their severity ranged from 0 to 10 and was assessed in OFF and then ON-Dopa to study their fluctuations.

RESULTS

310 patients were included, of whom 98.8% had NMS and 98.0% had NMF. Each NMS was significantly improved by L-Dopa (decrease in severity score ranging from 43.1% to 69.9%). Fatigue was the most frequent and most severe NMS. NMS were considered more bothersome than motor symptoms by 37.5% of patients in OFF-Dopa and 34.9% in ON-Dopa.

CONCLUSIONS

This is the first questionnaire allowing a real-time quantification of the severity of NMS and their fluctuation with levodopa. It was able to confirm and measure the effect of L-dopa and show differences according to the patients and the NMS. It differs from other questionnaires by its measurement at a precise moment of the severity of the NMS, allowing its use during pretherapeutic assessments.Our questionnaire has been validated to measure the severity of NMF. It will be able to quantify the non-motor effect of anti-parkinsonian treatments and could facilitate the integration of NMF in therapeutic decisions.

Fluctuations in Parkinson's disease and personalized medicine: bridging the gap with the neuropsychiatric fluctuation scale

Background

Neuropsychiatric fluctuations (NpsyF) are frequent and disabling in people with Parkinson's disease (PD). In OFF-medication, NpsyF entail minus neuropsychiatric symptoms (NPS) like anxiety, apathy, sadness, and fatigue. In ON-medication, NpsyF consist in plus NPS, such as high mood, hypomania, and hyperactivity. Accurate identification of these NpsyF is essential to optimize the overall PD management. Due to lack of punctual scales, the neuropsychiatric fluctuation scale (NFS) has been recently designed to assess NpsyF in real time. The NFS comprises 20 items with two subscores for plus and minus NPS, and a total score.

Objective

To evaluate the psychometric properties of the NFS in PD.

Methods

PD patients with motor fluctuations and healthy controls (HC) were assessed. In PD patients, the NFS was administrated in both the ON-and OFF-medication conditions, together with the movement disorders society-unified Parkinson disease rating scale parts I-IV. Depression (Beck depression scale II), apathy (Starkstein apathy scale) and non-motor fluctuations items of the Ardouin scale of behaviour in PD (ASBPD OFF and ON items) were also assessed. NFS internal structure was evaluated with principal component analysis consistency (PCA) in both medication conditions in PD patients and before emotional induction in HC. NFS internal consistency was assessed using Cronbach's alpha coefficient. NFS convergent and divergent validity was measured through correlations with BDI-II, Starktein, and ASBPD OFF and ON non motor items. Specificity was assessed comparing NFS global score between the HC and PD populations. Sensitivity was evaluated with t-student test comparing the ON-and the OFF-medication conditions for NFS global score and for minus and plus subscores.

Results

In total, 101 consecutive PD patients and 181 HC were included. In PD patients and HC, PCA highlighted one component that explained 32-35 and 42% of the variance, respectively. Internal consistency was good for both the NFS-plus (alpha =0.88) and NFS-minus items (alpha =0.8). The NFS showed a good specifity for PD (p < 0.0001) and a good sensitivity to the medication condition (p < 0.0001).

Conclusion

The satisfactory properties of the NFS support its use to assess acute neuropsychiatric fluctuations in PD patients, adding to available tools.