Literature DB >> 35626303

Motor Fluctuations Development Is Associated with Non-Motor Symptoms Burden Progression in Parkinson's Disease Patients: A 2-Year Follow-Up Study.

Diego Santos-García1, Teresa de Deus Fonticoba2, Carlos Cores Bartolomé1, Maria J Feal Painceiras1, Ester Suárez Castro2, Héctor Canfield2, Cristina Martínez Miró1, Silvia Jesús3,4, Miquel Aguilar5, Pau Pastor5, Lluís Planellas6, Marina Cosgaya7, Juan García Caldentey8, Nuria Caballol9, Ines Legarda10, Jorge Hernández-Vara4,11, Iria Cabo12, Lydia López Manzanares13, Isabel González Aramburu4,14, Maria A Ávila Rivera15, Víctor Gómez Mayordomo16, Víctor Nogueira17, Víctor Puente18, Julio Dotor García-Soto19, Carmen Borrué20, Berta Solano Vila21, María Álvarez Sauco22, Lydia Vela23, Sonia Escalante24, Esther Cubo25, Francisco Carrillo Padilla26, Juan C Martínez Castrillo27, Pilar Sánchez Alonso28, Maria G Alonso Losada29, Nuria López Ariztegui30, Itziar Gastón31, Jaime Kulisevsky4,32, Marta Blázquez Estrada33, Manuel Seijo12, Javier Rúiz Martínez34, Caridad Valero35, Mónica Kurtis36, Oriol de Fábregues11, Jessica González Ardura37, Ruben Alonso Redondo38, Carlos Ordás39, Luis M López Díaz40, Darrian McAfee41, Pablo Martinez-Martin4, Pablo Mir3,4.   

Abstract

Objective: The aim of the present study was to analyze the progression of non-motor symptoms (NMS) burden in Parkinson's disease (PD) patients regarding the development of motor fluctuations (MF).
Methods: PD patients without MF at baseline, who were recruited from January 2016 to November 2017 (V0) and evaluated again at a 2-year follow-up (V2) from 35 centers of Spain from the COPPADIS cohort, were included in this analysis. MF development at V2 was defined as a score ≥ 1 in the item-39 of the UPDRS-Part IV, whereas NMS burden was defined according to the Non-motor Symptoms Scale (NMSS) total score.
Results: Three hundred and thirty PD patients (62.67 ± 8.7 years old; 58.8% males) were included. From V0 to V2, 27.6% of the patients developed MF. The mean NMSS total score at baseline was higher in those patients who developed MF after the 2-year follow-up (46.34 ± 36.48 vs. 34.3 ± 29.07; p = 0.001). A greater increase in the NMSS total score from V0 to V2 was observed in patients who developed MF (+16.07 ± 37.37) compared to those who did not develop MF (+6.2 ± 25.8) (p = 0.021). Development of MF after a 2-year follow-up was associated with an increase in the NMSS total score (β = 0.128; p = 0.046) after adjustment to age, gender, years from symptoms onset, levodopa equivalent daily dose (LEDD) and the NMSS total score at baseline, and the change in LEDD from V0 to V2. Conclusions: In PD patients, the development of MF is associated with a greater increase in the NMS burden after a 2-year follow-up.

Entities:  

Keywords:  Parkinson’s disease; burden; follow-up; motor fluctuations; non-motor symptoms

Year:  2022        PMID: 35626303      PMCID: PMC9140605          DOI: 10.3390/diagnostics12051147

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


1. Introduction

Parkinson’s disease (PD) is a progressive neurodegenerative disorder causing motor and non-motor symptoms (NMS) that result in disability, loss of patient autonomy, and diminished quality of life (QoL) [1]. From a pathophysiological point of view, motor symptoms in PD are attributed to the degeneration of the dopaminergic nigrostriatal system [2]. Nevertheless, increasing evidence has shown that PD is a multisystem disorder characterized also by the degeneration of the mesocortical dopaminergic system, the noradrenergic system of the locus coeruleus, the serotonergic system of the dorsal raphe nuclei, and the cholinergic system of the nucleus basalis of Meynert, as well as the histaminergic, peptidergic, and olfactory-related systems [3]. This explains the complexity in management of NMS in PD and why many therapeutic strategies are based on correcting the deficit of neurotransmitters other than dopamine [4]. However, NMS can be related to dopamine as well. Increasing dopamine activity not only in the striatum but also in other areas of the brain could improve some NMS such as attention, executive functions, apathy, depression, anxiety, restless legs and periodic limb movements, urinary urgency, nocturia, dribbling of saliva, constipation, pain, or fatigue [5,6,7,8,9]. Moreover, NMS can be related to dopamine changes in brain and blood [10]. Thus, some patients can suffer from non-motor fluctuations (NMF) (i.e., NMS that fluctuate during the day) [11] or can experience motor fluctuations (MF) with the development of NMS during the OFF episodes (e.g., pain associated with dystonia) [12]. The close connection of NMF and MF strongly suggests that the strategies used to treat motor complications—namely, continuous dopaminergic stimulation—also apply for the therapy of NMF. Thus, a dopaminergic treatment reducing the daily OFF time can improve some NMS [9,13,14] or even the global NMS burden [15,16]. In line with this, we demonstrated recently in a cross-sectional study conducted in Spain that MF are frequent and associated with a greater NMS burden even during the first 5 years of disease duration [17]. This is of great importance because NMS burden is associated with a worse QoL and is also an independent predictor of clinically significant QoL impairment in PD [18,19]. In this context, we hypothesized that PD patients who develop MF in the short-term will increase their NMS burden compared with those patients who do not. Understanding this potential association is of interest because, in clinical practice, to detect MF is an essential point for the application of management strategies in PD [20]. The aim of the present study was to analyze the progression of NMS burden in PD patients from a Spanish cohort regarding the development of MF after a 2-year follow-up. Moreover, the change in health-related quality of life (HR-QoL) and global QoL (GQoL) was analyzed as well.

2. Material and Methods

PD patients without MF at baseline, who were recruited from 35 centers of Spain from the COPPADIS cohort [21] from January 2016 to November 2017 and evaluated again at 2-year follow-up, were included in the study. Methodology about COPPADIS-2015 study can be consulted in https://bmcneurol.biomedcentral.com/articles/10.1186/s12883-016-0548-9 accessed on 25 February 2016 [22]. This is a multicenter, observational, longitudinal-prospective, 5-year follow-up study designed to analyze disease progression in a Spanish population of PD patients. All patients included were diagnosed according to UK PD Brain Bank criteria [22]. In PD subjects, information on sociodemographic aspects, factors related to PD, comorbidity, and treatment was collected at baseline (visit V0) and at 2 years ± 1 month (visit V2). V0 and V2 evaluations included motor assessment (Hoenh & Yahr [H&Y], Unified Parkinson’s Disease Rating Scale [UPDRS] part III and part IV, Freezing of Gait Questionnaire [FOGQ]), NMS (Non-Motor Symptoms Scale [NMSS], Parkinson’s Disease Sleep Scale [PDSS], Visual Analog Scale-Pain [VAS-Pain], Visual Analog Fatigue Scale [VAFS]), cognition (PD-CRS), mood and neuropsychiatric symptoms (Beck Depression Inventory-II [BDI-II], Neuropsychiatric Inventory [NPI], Questionnaire for Impulsive-Compulsive Disorders in Parkinson’s Disease-Rating Scale [QUIP-RS]), disability (Schwab & England Activities of Daily Living Scale [ADLS]), and QoL (the 39-item Parkinson’s disease Questionnaire [PDQ-39], the EUROHIS-QOL 8-item index [EUROHIS-QOL8]) [22]. In all the scales/questionnaires, a higher score indicates a more severe affectation except for PD-CRS, PDSS, ADLS, and EUROHIS-QOL8, where it is opposite. MF were defined according to the Unified Parkinson’s Disease Rating Scale–Part IV (UPDRS-IV) [23]. Patients with a score = 0 on item-39 of the UPDRS-IV (UPDRS-IV-39) were considered as without MF whereas those with a UPDRS-IV-39 score ≥ 1 were defined as with MF. For this study, patients from the COPPADIS cohort who presented with MF (i.e., UPDRS-IV-39 ≥ 1) at baseline were excluded. In patients with MF, the motor assessment was made during the OFF state (without medication in the last 12 h) and during the ON state. On the other hand, the assessment was only performed without medication in patients without MF. Other data about motor complications were obtained from the UPDRS-IV. The NMS burden was defined according to the NMSS total score [24]. The NMSS includes 30 items, each with a different non-motor symptom. The symptoms refer to the 4 weeks prior to assessment. The total score for each item is the result of multiplying the frequency (0, never; 1, rarely; 2, often; 3, frequent; 4, very often) × severity (1, mild; 2, moderate; 3, severe) and will vary from 0 to 12 points. The scale score ranges from 0 to 360 points. The items are grouped into 9 different domains: (1) Cardiovascular (items 1 and 2; score, 0 to 24); (2) Sleep/fatigue (items 3, 4, 5, and 6; score, 0 to 48); (3) Mood/apathy (items 7, 8, 9, 10, 11, and 12; score, 0 to 72); (4) Perceptual problems/hallucinations (items 13, 14, and 15; score, 0 to 36); (5) Attention/memory (items 16, 17, and 18; score, 0 to 36); (6) Gastrointestinal symptoms (items 19, 20, and 21; score 0 to 36); (7) Urinary symptoms (items 22, 23, and 24; score, 0 to 36); (8) Sexual dysfunction (items 25 and 26; score 0 to 24); (9) Miscellaneous (items 27, 28, 29, and 30; score, 0 to 48). Regarding the NMS burden, different groups were defined: mild (NMSS 1–20); moderate (NMSS 21–40); severe (NMSS 41–70); very severe (NMSS > 70) [25]. The PDQ-39 [26] and EUROHIS-QOL8 [27] were used to assess the HRQoL and GQoL, respectively. The PDQ-39 includes 39 items grouped into 8 domains: (1) Mobility (items 1 to 10); (2) Activities of daily living (ADL) (items 11 to 16); (3) Emotional well-being (items 17 to 22); (4) Stigma (items 23 to 26); (5) Social support (items 27 to 29); (6) Cognition (items 30 to 33); (7) Communication (items 34 to 36); (8) Pain and discomfort (items 37 to 39). For each item, the score may range from 0 (never) to 4 (always). The symptoms refer to the 4 weeks prior to assessment. Domain total scores are expressed as a percentage of the corresponding maximum possible score and a Summary Index is obtained as average of the domain scores. The EUROHIS-QOL8 is an 8-item GQoL questionnaire (quality of life, health status, energy, autonomy for ADL, self-esteem, social relationships, economic capacity, and habitat) derived from the WHOQOL-BREF. For each item, the score ranges from 0 (not at all) to 5 (completely). The total score is expressed as the mean of the individual scores. A higher score indicates a better QoL.

3. Data Analysis

Data were processed using SPSS 20.0 for Windows. Only PD patients from the COPPADIS cohort with data of the UPDRS-IV and NMSS total score collected at both visits, V0 and V2, were included in the analysis. For comparisons between patients with vs. without MF at V2, the Student’s t-test, Mann–Whitney U test, Chi-square test, or Fisher test were used as appropriate (distribution for variables was verified by one-sample Kolmogorov-Smirnov test). Spearman’s or Pearson’s correlation coefficient, as appropriate, were used for analyzing the relationship between the change from V0 to V2 in continuous variables (NMSS, PDQ-39SI, EUROHIS-QOL8). Correlations were considered weak for coefficient values ≤ 0.29, moderate for values between 0.30 and 0.59, and strong for values ≥0.60. Marginal homogeneity tests were applied for comparing the frequency distribution of groups (NMS burden; from mild to very severe) between V0 and V2. General linear model (GLM) repeated measure was used to test whether the mean differences of the total score and each domain of the NMSS, PDQ-39SI, and EUROHIS-QOL8 between the two visits (V0 and V2) were significant. The Bonferroni method was used as a post-hoc test after ANOVA. Cohen’s d formula was applied for measuring the effect size; it was considered as follows: <0.2—Negligible; 0.2–0.49—Small; 0.50–0.79—Moderate; ≥0.80—Large. Age, gender, years from symptoms onset, H&Y stage, levodopa equivalent daily dose (LEDD) and the NMSS total score at baseline, and the change in LEDD from V0 to V2 were included as covariates in the model. The total score of each scale at V0 (NMSS, PDQ-39SI, and EUROHIS-QOL8) was included as covariate for the analysis of their domains. With the aim to investigate if the development of MF from V0 to V2 was an independent factor associated with an increase in the NMS burden and impairment in the QoL, linear regression models with the change from V0 to V2 in the total score of the NMSS, PDQ-39SI, and EUROHIS-QOL8 (these variables as dependent variable in each model) were conducted. In all cases, the analysis was adjusted to age, gender, years from symptoms onset, H&Y stage, LEDD and the NMSS total score at baseline, and the change in LEDD from V0 to V2. The p-value was considered significant when it was <0.05.

4. Standard Protocol Approvals, Registrations, and Patient Consents

For this study, we received approval from the Comité de Ética de la Investigación Clínica de Galicia in Spain (2014/534; 02/DEC/2014). Written informed consent was obtained from all participants in this study. COPPADIS-2015 was classified by the AEMPS (Agencia Española del Medicamento y Productos Sanitarios) as a Postauthorization Prospective Follow-up study with the code COH-PAK-2014-01.

5. Data Availability

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

6. Results

Three hundred and thirty PD patients (62.67 ± 8.7 years old; 58.8% males) without MF at baseline were included. From V0 to V2, 27.6% of the patients (91/330) developed MF. In the group of patients with MF at V2, OFF episodes were predictable in 89% of the cases and unpredictable in 15.4%; early morning dystonia was reported by 25.3% of the patients; and the proportion of the waking day during the OFF state was 82.4% from 1 to 25%, 16.5% from 26 to 50%, and only 1 patient with >50%. Thirty-six out of 91 patients who developed MF (39.6%) presented dyskinesia as well, being disabling in 15 patients (15/36; 41.7%). Compared with those patients who did not develop MF from V0 to V2, at V0, patients who presented with MF at V2 were younger (60.75 ± 9.06 vs. 63.41 ± 8.46 years old; p = 0.012), had a longer disease duration (5.36 ± 3.51 vs. 3.65 ± 3.09 years from symptoms onset; p < 0.0001); were receiving more dopaminergic medication; and had a worse status in terms of motor symptoms, NMS, QoL, and autonomy for ADL (Table 1). The mean NMSS total score at baseline was higher in those patients who developed MF after the 2-year follow-up than in those who did not develop MF (46.34 ± 36.48 vs. 34.3 ± 29.07; p = 0.001) (Table 1 and Figure 1). At V0, the frequency of severe and very severe NMS burden was higher in those patients who developed MF at V2 compared with those who did not (27.5% vs. 18% and 18.7% vs. 12.1%, respectively; p = 0.011) (Figure 2).
Table 1

Different PD-related variables in PD patients who developed MF at V2 (MF at V2; N = 91) compared with those patients who did not develop MF at V2 (nonMF at V2; N = 239).

All Sample(N = 330)nonMF at V2(N = 239)MF at V2(N = 91) p
Males (%)58.859.8560.308
At V0
Age62.67 ± 8.763.41 ± 8.4660.75 ± 9.060.012
Years from symptoms onset4.13 ± 3.33.65 ± 3.095.36 ± 3.51<0.0001
Time on levodopa therapy (months)18.99 ± 27.9914.71 ± 24.3729.65 ± 33.25<0.0001
Daily dose of levodopa (mg/day)231.85 ± 257.89175.74 ± 216.46379.62 ± 298.07<0.0001
DA equivalent daily dose (mg/day)152.77 ± 149.36143.21 ± 148.24177.96 ± 150.180.047
LEDD (mg/day)437.71 ± 325.85372.62 ± 283.4609.1 ± 367.38<0.0001
H&Y stage (OFF) 0.277
 Stage from 1 to 399.710098.8
 Stage from 4 to 50.301.2
UPDRS-III (OFF)18.9 ± 9.5417.57 ± 8.8122.4 ± 10.51<0.0001
UPDRS-IV0.71 ± 0.870.66 ± 0.790.86 ± 1.050.241
FOGQ1.97 ± 3.131.56 ± 2.513.06 ± 4.19<0.0001
Tremotic motor phenotype (%)55.55946.20.024
PD-CRS92.93 ± 15.1792.32 ± 15.3994.51 ± 14.550.205
NMSS37.62 ± 31.6934.3 ± 29.0746.34 ± 36.480.001
BDI-II7.49 ± 6.636.98 ± 6.338.82 ± 7.220.037
PDSS119.82 ± 23.36122.41 ± 22.02113.01 ± 25.45<0.0001
QUIP-RS3.68 ± 7.442.72 ± 5.946.42 ± 10.15<0.0001
NPI4.43 ± 6.624.22 ± 6.414.95 ± 7.130.381
VAS–PAIN2.31 ± 2.82.22 ± 2.76 2.54 ± 2.910.363
VASF–physical2.43 ± 2.572.27 ± 2.542.86 ± 2.610.050
VASF–mental1.86 ± 2.451.75 ± 2.422.17 ± 2.510.084
PDQ-39SI13.08 ± 10.5911.44 ± 9.1617.39 ± 12.74<0.0001
EUROHIS-QOL83.87 ± 0.513.92 ± 0.53.74 ± 0.490.006
S&E-ADLS91.12 ± 8.0492.05 ± 7.2488.68 ± 9.450.001
Change at V2 (V2 vs. V0)
Daily dose of levodopa (mg/day)+126.73 ± 190.01+113.37 ± 186.82+161.89 ± 208.830.021
DA equivalent daily dose (mg/day)+13.35 ± 188.95+6.32 ± 117.41+31.85 ± 306.180.288
LEDD (mg/day)+190.55 ± 278.38+158.22 ± 222.42+275.65 ± 377.620.008
UPDRS-III (OFF)+3.5 ± 9.73+2.11 ± 8.61+7.01 ± 11.46<0.0001
UPDRS-IV+1.02 ± 2.09+0.09 ± 1.03+3.5 ± 2.18<0.0001
FOGQ+1.37 ± 3.63+0.94 ± 3.18+2.52 ± 4.440.001
PD-CRS−0.9 ± 10.87−0.79 ± 11.49−1.19 ± 9.110.873
NMSS+8.91 ± 29.77+6.2 ± 25.8+16.03 ± 37.370.021
BDI-II+0.46 ± 7.16+0.33 ± 7.2+0.8 ± 7.070.463
PDSS+0.61 ± 23.46+1.05 ± 22.26−0.55 ± 26.420.654
QUIP-RS+0.79 ± 8.74+0.93 ± 7.45+0.42 ± 11.560.564
NPI+0.4 ± 8.45−0.23 ± 8.51+1.89 ± 8.150.270
VAS–PAIN+0.47 ± 3.15+0.33 ± 3.13+0.86 ± 3.170.109
VASF–physical+0.57 ± 2.84+0.42 ± 2.85+0.94 ± 2.790.216
VASF–mental+0.12 ± 2.75−0.07 ± 2.61+0.65 ± 3.040.062
PDQ-39SI+3.85 ± 10.18+3.01 ± 9.15+6.09 ± 12.280.005
EUROHIS-QOL8−0.05 ± 0.56−0.03 ± 0.55−0.12 ± 0.580.249
S&E-ADLS−3.87 ± 9.73−3.4 ± 9.35−5.11 ± 10.620.177

Chi-square and Mann–Whitney–Wilcoxon tests were used. The results represent mean ± SD or %. ADLS, Schwab and England Activities of Daily Living Scale; BDI-II, Beck Depression Inventory-II; DA, dopamine agonist; FOGQ, Freezing Of Gait Questionnaire; LEDD, levodopa equivalent daily dose; N, number; NMSS, Non-motor Symptoms Scale; NPI, Neuropsychiatric Inventory; PD-CRS, Parkinson’s Disease Cognitive Rating Scale; PDSS, Parkinson’s Disease Sleep Scale; QUIP-RS, Questionnaire for Impulsive–Compulsive Disorders in Parkinson’s Disease-Rating Scale; TS, total score; UPDRS, Unified Parkinson’s Disease Rating Scale; VAFS, Visual Analog Fatigue Scale; VAS–Pain, Visual Analog Scale–Pain.

Figure 1

(A) NMSS total score (y-axis) at baseline (V0) and after a 2-year follow-up (V2) in PD patients who developed MF at V2 (MF at V2 (PD-MFV2); N = 91) and those patients who did not develop MF at V2 (nonMF at V2 (PD-nonMFV2); N = 239). NMSS total score at V0, PD-MFV2 vs. PD-nonMFV2, p = 0.001; NMSS total score at V2, PD-MFV2 vs. PD-nonMFV2, p < 0.0001; change in the NMSS total score from V0 to V2 in PD-MFV2, p < 0.0001; change in the NMSS total score from V0 to V2 in PD-nonMFV2, p < 0.0001; comparison between the change in the NMSS total score from V0 to V2 in PD-MFV2 vs. PD-nonMFV2, p = 0.021. Data are presented as box plots, with the box representing the median and the two middle quartiles (25–75%). (B) Mean score on each domain of the NMSS at V0 and at V2 in both groups, PD-MFV2 and PD-nonMFV2. At V0, the difference was significant between both groups in NMSS-1 (Cardiovascular) (p = 0.001), NMSS-2 (Sleep/fatigue) (p = 0.001), NMSS-4 (Perceptual symptoms) (p < 0.0001), and NMSS-9 (Miscellaneous) (p = 0.005). At V2, the difference was significant between both groups in all domains (p values from 0.024 to <0.0001) except in NMSS-5 (Attention/memory) (p = 0.364). p values were computed using the Kolmogorov–Smirnov, Mann–Whitney, and Wilcoxon tests. Mild outliers (O) are data points that are more extreme than Q1 − 1.5 * IQR or Q3 + 1.5 * IQR.

Figure 2

Frequency of patients with mild (NMSS 1–20), moderate (NMSS 21–40), severe (NMSS 41–70), and very severe (NMSS > 70) NMS burden at V0 and at V2 considering two groups: patients who developed MF at V2 (MF at V2 (PD-MFV2); N = 91) and those who did not developed MF at V2 (nonMF at V2 (PD-nonMFV2); N = 239). PD-nonMFV2 vs. PD-MFV2 at V0, p = 0.011; PD-nonMFV2 vs. PD-MFV2 at V2, p < 0.0001; change in PD-nonMFV2 from V0 to V2, p = 0.003; change in PD-MFV2 from V0 to V2, p = 0.001. p values were computed using the Chi-square and marginal homogeneity test.

A greater increase in the NMSS total score from V0 to V2 was observed in those patients who developed MF at V2 (+16.07 ± 37.37) compared with those who did not develop MF (+6.2 ± 25.8) (p = 0.021) (Table 1 and Figure 1). Two-hundred and two out of 330 patients (64.2%) presented at V2 a NMSS total score higher than at V0, but no differences between patients who developed MF vs. those who did not develop MF after the 2-year follow-up were observed (68.1% vs. 62.1%; p = 0.218). However, after the 2-year follow-up, the frequency of severe and very severe NMS burden was significantly higher in the group who developed MF (p < 0.0001) (Figure 2). Applying GLM repeated measure and after adjustment to covariates (age, gender, years from symptoms onset, H&Y stage, LEDD and the NMSS total score at baseline, and the change in LEDD from V0 to V2), a significantly greater increase (34.6% vs. 17.9%; p = 0.005) in the NMSS total score was observed in patients who developed MF at V2 (from 46.34 ± 36.48 to 62.37 ± 44.15; Cohen’s effect size = 0.57; p = 0.003) compared with those who did not develop MF (from 34.3 ± 29.07 vs. 40.5 ± 35.4; Cohen’s effect size = 0.33; p < 0.0001) (Table 2). An increase in the score of different domains from V0 to V2 was significant in both groups, with and without MF at V2, but there were no significant differences between them (Table 2 and Figure 1). Regarding QoL, the increase in the PDQ-39SI and decrease in EUROHIS-QOL8 total score indicating a QoL impairment between both visits, V0 and V2, was significantly greater in the group of patients who developed MF (PDQ-39SI, +35% vs. +26.5% (p = 0.002); EUROHIS-QOL8, −29.9% vs. −0.7% (p = 0.030)) (Table 2). By domain and after adjustment to covariates including the PSQ-39SI score at V0, the increase on the score of “pain and discomfort” domain in the group who developed MF at V2 (from 28.55 ± 20.01 to 32.87 ± 24.33; Cohen’s effect size = 0.30; p = 0.015) was significantly higher (p = 0.039) compared with patients who did not develop MF (from 20.65 ± 18.82 to 23.97 ± 22.12; Cohen’s d effect size = 0.16; p = 0.071) (Table 2). The mean score on all domains of the PDQ-39SI was the highest in patients who developed MF after the 2-year follow-up at V2 and the lowest in patients who did not develop MF, at V0 (Figure 3). A moderate correlation was observed between the change from V0 to V2 in the NMSS total score and the change in the PDQ-39SI in the whole cohort (N = 320; r = 0.402; p < 0.0001) and in both groups, patients with (N = 91; r = 0.328; p = 0.002) and without MF (N = 239; r = 0.433; <0.0001) at V2. However, the correlation between the change in the total score of the NMSS and the EUROHIS-QOL8 was only significant in patients who developed MF at V2 (N = 91; r = −0.277; p = 0.009) but not in patients who did not develop MF at V2 (N = 239; r = −0.111; p = 0.088).
Table 2

Changes in non-motor symptoms and quality of life in PD patients who developed MF at V2 (MF at V2; N = 91) compared with those patients who did not develop MF at V2 (nonMF at V2; N = 239).

nonMF at V2V0 nonMF at V2V2Cohen’s Testp aMF at V2V0MF at V2V2Cohen’s Testp bp cp d
NMSS 34.3 ± 29.0740.5 ± 35.40.33<0.000146.34 ± 36.4862.37 ± 44.150.570.0030.3870.005
 Cardiovascular3.63 ± 7.358.66 ± 12.360.61<0.00016.63 ± 10.2212.36 ± 13.780.540.0020.9730.240
 Sleep/fatigue11.52 ± 13.0313.91 ± 15.090.240.02418.09 ± 16.823.53 ± 18.470.390.0270.0690.104
 Mood/apathy8.86 ± 13.569.68 ± 15.510.090.10110.51 ± 1615.82 ± 18.130.460.0120.0900.261
 Perceptual symptoms0.87 ± 3.482.41 ± 8.090.310.0024.17 ± 8.847.11 ± 160.310.0800.6720.105
 Attention/memory8.05 ± 12.610.75 ± 16.240.270.0028.93 ± 11.5112.36 ± 15.780.320.0620.7360.175
 Gastrointestinal symptoms7.41 ± 10.679.61 ± 11.950.32<0.000110.42 ± 14.8113.64 ± 15.020.310.1680.8520.580
 Urinary symptoms17.45 ± 19.7720.09 ± 21.920.210.03519.63 ± 20.4226 ± 23.950.430.0420.9230.532
 Sexual dysfunction16.58 ± 25.1619.4 ± 26.650.140.11921.55 ± 28.2627.1 ± 27.550.240.1280.9800.082
 Miscellaneous10.96 ± 13.0611.68 ± 12.830.070.94515.84 ± 16.1619.84 ± 160.34<0.00010.0580.060
PDQ-39SI11.4 ± 9.1614.41 ± 12.630.46<0.000117.39 ± 12.7423.48 ± 16.620.65<0.00010.3970.002
 Mobility8.84 ± 12.6712.76 ± 15.860.42<0.000116.2 ± 18.2325.11 ± 22.480.69<0.00010.034N. A.
 Activities of daily living11.35 ± 13.1914.98 ± 26.20.320.00619.35 ± 19.3426.2 ± 21.370.460.0020.2240.271
 Emotional well-being16.91 ± 17.2518.41 ± 21.80.150.16722.36 ± 20.7427.38 ± 24.330.350.0890.8520.576
 Stigmatization10.03 ± 16.8110.5 ± 18.630.050.47710.7 ± 14.6417.5 ± 22.910.460.0020.032N. A.
 Social support3.76 ± 10.595.3 ± 12.770.170.07410.06 ± 17.0412.59 ± 21.460.160.3960.8610.224
 Cognition14.94 ± 15.8420.4 ± 18.110.49<0.000118.05 ± 16.8224.3 ± 22.430.420.0270.8330.424
 Communication5.01 ± 9.058.19 ± 14.680.33<0.000111.34 ± 17.0915.64 ± 19.420.260.0560.5740.387
 Pain and discomfort20.65 ± 18.8223.97 ± 22.120.160.07128.55 ± 20.0132.87 ± 24.330.300.0150.4320.039
EUROHIS-QOL83.92 ± 0.53.89 ± 0.57−0.070.6993.74 ± 0.492.62 ± 0.54−0.210.1200.1090.030
 Quality of life3.96 ± 0.673.82 ± 0.77−0.170.0473.82 ± 0.613.57 ± 0.75−0.440.0050.1480.281
 Health status3.4 ± 0.823.46 ± 0.87+0.220.1163.13 ± 0.813.11 ± 0.88−0.120.9030.0710.266
 Energy3.99 ± 0.733.9 ± 0.84−0.140.3223.64 ± 0.813.49 ± 3.83−0.190.3180.2490.002
 Autonomy for ADL3.82 ± 0.813.82 ± 0.850.000.9673.57 ± 0.813.44 ± 0.79−0.250.3720.1360.058
 Self-esteem3.9 ± 0.713.95 ± 0.76+0.040.4493.8 ± 0.733.69 ± 0.77−0.100.0780.003N. A.
 Social relationships4.12 ± 0.614.03 ± 3.72−0.150.0463.97 ± 0.673.82 ± 0.75−0.240.0520.1150.069
 Economic capacity3.93 ± 0.813.89 ± 0.78−0.060.7953.81 ± 0.743.64 ± 0.83−0.280.0800.1150.821
 Habitat4.29 ± 0.614.27 ± 0.64−0.040.4854.21 ± 0.724.24 ± 0.64+0.070.7590.4660.359

p values were computed using general linear models (GLM) repeated measures. The results represent mean ± SD; p a, change over time (V2 vs. V0) in nonMF at V2; p b, change over time (V2 vs. V0) in MF at V2; p c, group visit interaction; p d, MF at V2 vs. nonMF at V2. Age, gender, disease duration, Hoehn&Yahr stage and LEDD at V0, and the change in LEDD from V0 to V2 were included as covariates in the model; the total score of each scale at V0 (NMSS, PDQ-39SI, and EUROHIS-QOL8) was included as covariate for the analysis of the domains. MF at V2 vs. nonMF at V2 is not applicable if test of interaction is significant (a significant test of interaction means the rates of changes over time are different between the two groups). ADL, activities of daily living; EUROHIS-QOL8, EUROHIS-QOL 8-item index; LEDD, levodopa equivalent daily dose; PDQ-39SI, Parkinson’s Disease Quality of Life Questionnaire Summary Index.

Figure 3

(A) QoL (PDQ-39SI) (y-axis) at baseline (V0) and after a 2-year follow-up (V2) (x-axis) in PD patients who developed MF at V2 (MF at V2 (PD-MFV2); N = 91) and those patients who did not developed MF at V2 (nonMF at V2 (PD-nonMFV2); N = 239). PDQ-39SI at V0, PD-MFV2 vs. PD-nonMFV2, p < 0.0001; PDQ-39SI at V2, PD-MFV2 vs. PD-nonMFV2, p < 0.0001; change in the PDQ-39SI from V0 to V2 in PD-MFV2, p < 0.0001; change in the PDQ-39SI from V0 to V2 in PD-nonMFV2, p < 0.0001; comparison between the change in the PDQ-39SI from V0 to V2 in PD-MFV2 vs. PD-nonMFV2, p = 0.005. (B) Mean score on each domain of the PDQ-39SI at V0 and at V2 in both groups, PD-MFV2 and PD-nonMFV2. At V0, the difference was significant between both groups in all domains (p values from 0.023 to <0.0001) except in PDQ-39SI-4 (Stigmatization) (p = 0.169) and PDQ-39SI-6 (Cognition) (p = 0.097). At V2, the difference was significant between both groups in all domains (p values from 0.005 to <0.0001) except in PDQ-39SI-6 (Cognition) (p = 0.319). PDQ-39 is expressed as a Summary Index (PDQ-39SI). Data are presented as box plots, with the box representing the median and the two middle quartiles (25–75%). p values were computed using the Kolmogorov–Smirnov, Mann–Whitney, and Wilcoxon tests. Mild outliers (O) are data points that are more extreme than Q1 − 1.5 * IQR or Q3 + 1.5 * IQR.

To develop MF after a 2-year follow-up was associated with an increase in the NMSS total score without controlling for other factors (β = 0.148; 95% CI, 2.69–16.98; p = 0.007) but also after adjustment to age, gender, years from symptoms onset, LEDD and the NMSS total score at baseline, and the change in LEDD from V0 to V2 as well (β = 0.128; 95% CI, 0.17–16.86; p = 0.046). However, when time on levodopa and the H&Y stage were included in the model as covariates, it was not significant (with time on levodopa therapy, p = 0.062; with H&Y, p = 0.167; both variables, p = 0.212). Development of MF was associated with an increase in the PDQ39SI from V0 to V2 (β = 0.135; 95% CI, 0.61–5.55; p = 0.015) but not with the change in the EUROHIS-QOL8 total score (p = 0.207). However, it was not significant after controlling for other covariates (age, gender, years from symptoms onset, LEDD and the PDQ-39SI at baseline, and the change in LEDD from V0 to V2) (p = 0.094).

7. Discussion

The present study observes that MF are frequent in PD, appearing in a cohort of 330 patients with a mean of 4 years from symptoms onset in one of every 4 subjects after a 2-year follow-up, and also that they are related to NMS. Specifically, NMS burden was greater at baseline in PD patients who 2 years later developed MF, and the increase in the NMS burden after the 2-year follow-up was double in this group as well. Moreover, similar results were obtained in terms of QoL. Importantly, all patients at baseline were without MF and this is the first time that NMS burden progression is specifically analyzed regarding the development of MF in a PD cohort. MF are frequent in PD [28,29,30,31]. In the COPPADIS cohort, of 690 patients with a mean disease duration of 5.5 years (DS 4.37), 33.9% had MF [17]. This percentage was 18.1% in the subgroup of patients with ≤5 years of disease duration (N = 396), with a mean disease duration of 2.7 years (DS 1.5) from symptoms onset [17]. The frequency will depend in part on the methods used—from an interview to wearable tools—and how sensitive we can be to detect them [32]. Stocchi et al. analyzed wearing-off (WO) in 617 PD patients with a mean disease duration of 6.6 years (DS 4.6) and observed that neurologist identified the presence of WO with an interview in 56.9% of the patients, whereas the percentage was 67.3% when the self-rated 19-question Wearing-Off Questionnaire (WOQ-19) was administered [33]. Identifying fluctuations is important in PD patients for two reasons. Firstly, their presence is associated with a worse status in terms of motor, NMS, QoL, and autonomy for ADL [17]. Secondly, the therapeutic strategy is conditioned by their presence to the point that there are several drugs marketed with indication to be only for patients with MF [34]. MF (either early or advanced) can significantly add to the NMS burden in PD [35,36]. However, few studies specifically focused on the NMS prevalence in motor-fluctuating PD patients [17,37,38]. Recent data published of 1589 PD patients from the SYNAPSIS study support the high prevalence of NMS in PD patients with MF in real-life condition, thus reinforcing the need for assessing them for diagnostic accuracy and for delivering holistic care [37]. Using the NMSS, we previously observed a greater NMS burden in the group with MF in a cross-sectional study conducted in PD patients from the COPPADIS cohort. In particular, 28 out of the 30 NMS included in the NMSS were significantly more frequent in patients with MF compared with those who did not have MF, and the mean score of all domains of the NMSS except urinary symptoms and sexual dysfunction was significantly higher in the group with MF [17]. Watanabe et al. recently explored the changes in NMS and QoL during 52 weeks in 996 Japanese PD patients exhibiting MF using the Movement Disorder Society Unified PD Rating Scale (MDS-UPDRS) Part I and the 8-item PD Questionnaire (PDQ-8), respectively [38]. They detected that changes in MDS-UPDRS Part I scores were variable and related to changes in HRQoL and identified 3 separate groups: unchanged (63.8%); deteriorated (20.1%); improved (16.2%). However, very importantly, all patients included in this study had MF. To our knowledge, our study is the first one to prospectively analyze the change in the NMS burden in relation to the development of MF in PD patients who initially did not have MF. As we previously reported in this cohort [39], about 6 out of 10 patients increased the NMSS total score after a 2-year follow-up. Although there were no differences in the percentage between the two groups—patients who developed MF and patients who did not develop MF—a greater NMS burden increase was observed in the first group. We did not analyze specifically if NMS fluctuated (e.g., NMS-MDS [40]), but this finding would support the relationship between NMS and the presence of OFF episodes with an increase in NMS perception during the OFF episodes. Importantly, the effect of MF on NMS burden persisted after adjustment to some variables related to NMS in PD such as age, gender, disease duration, or even dopaminergic medication [35,41,42]. However, NMS in PD are related to motor stage as well [17,18,25,42], and after the inclusion of the H&Y stage in the model, the effects disappeared. The same happened when time on levodopa therapy was included as covariate in the model. It is well-known that both aspects are related to the development of MF [30,31]. A more advanced H&Y stage is related to a greater degree of denervation of the striatal nucleus with more sensitivity to the development of MF [43]. On the other hand, a longer time on levodopa could imply a longer disease duration but also more time exposed to certain causative mechanisms (presynaptic and postsynaptic changes and pharmacokinetic and pharmacodynamic factors) [30,31]. The data as a whole indicate that PD patients who will develop MF in the short-term are patients with a more advanced disease with a greater NMS burden and patients with an increased risk of developing more severe NMS burden. To detect NMS burden progression is relevant because it is associated with a worse QoL [18,28]; importantly, in this context, MF development was associated with a greater worsening of both HRQoL and GQoL in the present analysis. To reduce NMS burden in PD patients has been demonstrated to be associated with an improvement in QoL [14,15]. In summary, our findings reinforce the idea that there is a close relationship between motor and NMS and that dopaminergic treatment can be helpful in some cases [5,10]. The present study has some limitations. The sample size of the group of patients with MF at V2 was smaller (N = 91) compared with the group without MF (N = 231), and the information about NMS burden follow-up was recorded in 330 patients of 462 (71.4%) without MF at baseline from the COPPADIS cohort. This is a limitation observed in other prospective studies, with percentages ranging from 61.9% to 89.8% [39,42,44]. We used the NMSS to assess the NMS burden progression, but some studies suggest that a battery of separate NMS scales is more sensitive to change than the NMSS [45]. Our sample was not fully representative of the PD population due to inclusion and exclusion criteria (i.e., age limit, no dementia, no severe comorbidities, no second line therapies, etc.). For some variables, the information was not collected in all cases (the smallest sample size was for the change in NPI (N = 255) since it was covered by the caregiver and not all had a primary caregiver). On the contrary, the strengths of our study include a very thorough assessment, a prospective longitudinal follow-up design, and the extensive clinical and demographic information recorded. In conclusion, we demonstrated for the first time in a prospective study that, in PD, the development of MF is associated with a greater NMS burden increase in the short-term. In practice, it is essential to detect MF early and ask about NMS, especially in patients with a greater disease severity and a longer time on levodopa.
  44 in total

Review 1.  The hidden sister of motor fluctuations in Parkinson's disease: A review on nonmotor fluctuations.

Authors:  Raul Martínez-Fernández; Emmanuelle Schmitt; Pablo Martinez-Martin; Paul Krack
Journal:  Mov Disord       Date:  2016-07-19       Impact factor: 10.338

2.  The metric properties of a novel non-motor symptoms scale for Parkinson's disease: Results from an international pilot study.

Authors:  Kallol Ray Chaudhuri; Pablo Martinez-Martin; Richard G Brown; Kapil Sethi; Fabrizio Stocchi; Per Odin; William Ondo; Kazuo Abe; Graeme Macphee; Doug Macmahon; Paolo Barone; Martin Rabey; Alison Forbes; Kieran Breen; Susanne Tluk; Yogini Naidu; Warren Olanow; Adrian J Williams; Sue Thomas; David Rye; Yoshio Tsuboi; Annette Hand; Anthony H V Schapira
Journal:  Mov Disord       Date:  2007-10-15       Impact factor: 10.338

Review 3.  Non-motor symptoms of Parkinson's disease: dopaminergic pathophysiology and treatment.

Authors:  K Ray Chaudhuri; Anthony H V Schapira
Journal:  Lancet Neurol       Date:  2009-05       Impact factor: 44.182

4.  COPPADIS-2015 (COhort of Patients with PArkinson's DIsease in Spain, 2015): an ongoing global Parkinson's disease project about disease progression with more than 1000 subjects included. Results from the baseline evaluation.

Authors:  D Santos García; S Jesús; M Aguilar; L L Planellas; J García Caldentey; N Caballol; I Legarda; J Hernández Vara; I Cabo; L López Manzanares; I González Aramburu; M A Ávila Rivera; M J Catalán; L López Díaz; V Puente; J M García Moreno; C Borrué; B Solano Vila; M Álvarez Sauco; L Vela; S Escalante; E Cubo; F Carrillo Padilla; J C Martínez Castrillo; P Sánchez Alonso; M G Alonso Losada; N López Ariztegui; I Gastón; J Kulisevsky; M Menéndez González; M Seijo; J Rúiz Martínez; C Valero; M Kurtis; O de Fábregues-Boixar; J González Ardura; C Prieto Jurczynska; P Martinez-Martin; P Mir
Journal:  Eur J Neurol       Date:  2019-07-04       Impact factor: 6.089

5.  Dopaminergic modulation of cortical function in patients with Parkinson's disease.

Authors:  Venkata S Mattay; Alessandro Tessitore; Joseph H Callicott; Alessandro Bertolino; Terry E Goldberg; Thomas N Chase; Thomas M Hyde; Daniel R Weinberger
Journal:  Ann Neurol       Date:  2002-02       Impact factor: 10.422

6.  The PRIAMO study: A multicenter assessment of nonmotor symptoms and their impact on quality of life in Parkinson's disease.

Authors:  Paolo Barone; Angelo Antonini; Carlo Colosimo; Roberto Marconi; Letterio Morgante; Tania P Avarello; Eugenio Bottacchi; Antonino Cannas; Gabriella Ceravolo; Roberto Ceravolo; Giulio Cicarelli; Roberto M Gaglio; Rosa M Giglia; Francesco Iemolo; Michela Manfredi; Giuseppe Meco; Alessandra Nicoletti; Massimo Pederzoli; Alfredo Petrone; Antonio Pisani; Francesco E Pontieri; Rocco Quatrale; Silvia Ramat; Rosanna Scala; Giuseppe Volpe; Salvatore Zappulla; Anna Rita Bentivoglio; Fabrizio Stocchi; Giorgio Trianni; Paolo Del Dotto
Journal:  Mov Disord       Date:  2009-08-15       Impact factor: 10.338

7.  The EUROHIS-QOL 8-item index: comparative psychometric properties to its parent WHOQOL-BREF.

Authors:  Neusa Sica da Rocha; Mick J Power; Donald M Bushnell; Marcelo P Fleck
Journal:  Value Health       Date:  2012-02-09       Impact factor: 5.725

8.  Early DEtection of wEaring off in Parkinson disease: the DEEP study.

Authors:  F Stocchi; A Antonini; P Barone; M Tinazzi; M Zappia; M Onofrj; S Ruggieri; L Morgante; U Bonuccelli; L Lopiano; P Pramstaller; A Albanese; M Attar; V Posocco; D Colombo; G Abbruzzese
Journal:  Parkinsonism Relat Disord       Date:  2013-11-05       Impact factor: 4.891

9.  The severity progression of non-motor symptoms in Parkinson's disease: a 6-year longitudinal study in Taiwanese patients.

Authors:  Yi-Chieh Chen; Rou-Shayn Chen; Yi-Hsin Weng; Ying-Zu Huang; Chiung Chu Chen; June Hung; Yi-Ying Lin
Journal:  Sci Rep       Date:  2021-07-20       Impact factor: 4.379

10.  The modern pre-levodopa era of Parkinson's disease: insights into motor complications from sub-Saharan Africa.

Authors:  Roberto Cilia; Albert Akpalu; Fred Stephen Sarfo; Momodou Cham; Marianna Amboni; Emanuele Cereda; Margherita Fabbri; Patrick Adjei; John Akassi; Alba Bonetti; Gianni Pezzoli
Journal:  Brain       Date:  2014-07-17       Impact factor: 13.501

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