Abstract
Background
Non‐motor symptoms (NMS) are frequent in Parkinson's disease (PD).
Objectives
To estimate the prevalence of NMS and of non‐motor fluctuations (NMF) using the Movement Disorders Society‐Non‐Motor Rating Scale (MDS‐NMS) and other scales assessing NMS, and their relationship with sex and PD severity.
Methods
Cross‐sectional study with a sample of 402 PD patients. The Hoehn and Yahr staging system (HY), Clinical Impression of Severity Index for PD (CISI‐PD), MDS‐NMS (including NMF‐ subscale), Non‐Motor Symptoms scale (NMSS), and MDS‐Unified Parkinson's Disease Rating Scale (MDS‐UPDRS) were applied. A NMS was considered present when scored ≥1. Differences in scores by sex and HY, CISI‐PD, and MDS‐UPDRS severity levels were calculated using Fisher's exact and chi‐squared tests.
Results
Using the MDS‐NMS, NMS were present in 99.7% of patients and the mean number of NMS was 16.13 (SD: 9.36). The most prevalent NMS was muscle, joint or back pain (67.4% of the sample) and the least prevalent was dopamine dysregulation syndrome (2.2%). Feeling sad or depressed was significantly more prevalent in women. Using the MDS‐NMS revealed more NMS than the other scales assessing NMS. NMF were present in 41% of the sample, with fatigue being the most prevalent symptom (68.5% patients with NMF), and no differences by sex. Patients with greater PD severity had higher prevalence of NMS than patients with lower severity.
Conclusions
Almost all patients with PD experience NMS, and many experience NMF. Prevalence rates for NMS using the MDS‐NMS are higher than on other scales used and increase with higher disease severity.
Keywords: non‐motor symptoms, prevalence, disease severity, MDS‐NMS, NMSS, MDS‐UPDRS
Parkinson's disease (PD) is now recognized to comprise a wide range of motor and non‐motor symptoms (NMS), spanning the prodromal phase to the palliative stage. 1 , 2 , 3 , 4 NMS are frequent, may precede the onset of motor symptoms, correlate variably with the severity of the motor impairment, and become increasingly prevalent with advancing disease. 1 , 5 , 6 NMS in PD cause a significant disease burden and quality of life deterioration 7 , 8 and are a predictor of mortality. 9
In recent years, several rating scales and questionnaires have been developed to assess NMS, 10 such as the Scales for Outcomes in Parkinson's Disease (SCOPA) set of instruments. 11 , 12 , 13 , 14 , 15 The Non‐Motor Symptoms Scale (NMSS) 16 and Questionnaire (NMSQuest) 17 were the only dedicated comprehensive NMS assessment tools (self‐ and investigator completed). The Movement Disorders Society‐Unified Parkinson's Rating Scale (MDS‐UPDRS) Part I (Non‐Motor Experiences of Daily Living), 18 , 19 is also a comprehensive tool (part of a multi domain scale) specifically designed to quantify the severity and frequency of NMS in PD. They have been thoroughly validated and have significantly contributed to the knowledge of the impact caused by NMS in PD.
The newly developed and validated Movement Disorders Society‐Nonmotor Rating Scale (MDS‐NMS) is an updated version of the NMSS and has been shown to be a reliable and valid instrument for assessing the burden of a broad variety of NMS, including non‐motor fluctuations (NMF). 20 This rating scale is likely to serve as a global tool in clinical trials, global clinical registries, and epidemiological cohort studies in PD.
The aims of this study were to: (1) analyze the prevalence of NMS in PD patients using the MDS‐NMS and, secondary, to compare the prevalence data with the NMSS and MDS‐UPDRS Part I; (2) analyze the prevalence of NMF according to the MDS‐NMS NMF section; and (3) to ascertain whether there are differences in NMS and NMF prevalence by sex and disease severity.
Methods
Design
International, multicenter, cross‐sectional validation study of the MDS‐NMS in a sample of English‐speaking PD patients. 20
Participants
The sample was derived from the original MDS NMS international validation study. 20 Patients were recruited from five movement disorders clinics in England and one in the United States from October 2016 to September 2018. Inclusion criterion was having a diagnosis of PD based on MDS criteria. 21 Exclusion criteria were parkinsonism due to other neurodegenerative diseases or secondary causes, moderate or severe cognitive impairment (i.e., Montreal Cognitive Assessment (MoCA) score < 21 22 , 23 ), and active medical or psychiatric disorders or treatment that hampered accurate assessments (e.g., active psychosis symptoms that would prevent participant from paying adequate attention to the interview).
Ethical Aspects
The study was approved by the institutional review boards or ethics committees of the participating centers, and the study was conducted according to Good Clinical Practice. 24 All patients gave their informed consent to participate in the study.
Assessments
Socio‐demographic and PD historical data were obtained through an ad hoc questionnaire. In addition, the following rating scales were applied:
The MDS‐NMS, a comprehensive rating scale assessing NMS and NMF in PD. 20 The section on NMS contains 52 items grouped into 13 domains: depression (5 items), anxiety (4 items), apathy (3 items), psychosis (4 items), impulse control and related disorders (4 items), cognition (6 items), orthostatic hypotension (2 items), urinary (3 items), sexual (2 items), gastrointestinal (4 items), sleep and wakefulness (6 items), pain (4 items), and other (5 items on unintentional weight loss, decreased smell, physical fatigue, mental fatigue, and excessive sweating). Items are scored for frequency (from 0, never, to 4 majority of time) and severity (from 0, not present, to 4 severe), which are multiplied to generate the item total score. Scores for each domain and for the total rating scale are calculated by summing the corresponding items, with a maximum total score of 832 points.
The NMF subscale, with 8 items (depression, anxiety, thinking or cognitive abilities, bladder symptoms, restlessness, pain, fatigue, and excessive sweating) scored from 0 (no change) to 4 (large) for typical degree of change from “on” to “off” periods. These items are summed and then multiplied by the amount of time spent in the “off” state with NMS, which ranges from 1 (rarely) to 4 (majority of time). Maximum possible score is 128.
The NMSS, consisting of 30 items, grouped into nine domains (cardiovascular, sleep/fatigue, mood/apathy, perceptual problems/hallucinations, attention/memory, gastrointestinal tract, urinary, sexual function, and miscellaneous). 16 Items are scored for severity (from 0 to 3) and frequency (from 1 to 4), which are multiplied reaching a maximum item score of 12. Total score for domains and the full scale are obtained by sum of the corresponding items, with a maximum of 360 points for total score.
The MDS‐UPDRS, comprising four parts 18 , 19 : Part I, Nonmotor Experiences of Daily Living (nMEDL), with six rater‐based items and seven for patient self‐assessment; part II, motor experiences of daily living (MEDL), including 13 patient‐based items; Part III, motor examination (ME), with 18 items (33 scores); and part IV, motor complications (MCompl), containing six items. In addition, it includes the Hoehn and Yahr staging system (HY).
Finally, the Clinical Impression of Severity Index for PD (CISI‐PD), 25 an instrument of four items rating motor signs, disability, motor complications and cognition. The maximum total score is 24 points, with higher scores indicating more severe disease.
Data Analysis
Data did not fit normal distribution (Shapiro‐Francia test, all <0.001); consequently, non‐parametric statistics were used. Descriptive statistics (mean, median, standard deviation, range, percentage) were calculated to characterize the sample. Prevalence of NMS was based on scores ≥1 in each MDS‐NMS item, domain, and total scale, denoting the presence of a symptom (0 = no symptom present). For comparison, prevalence of NMS assessed with the NMSS and MDS‐UPDRS was obtained by the same method.
The sample was grouped according to the following variables of interest: sex, HY severity levels (1–2, mild; 3, moderate; 4–5 severe); CISI‐PD (1–7, mild; 8–14 moderate; and 15–24 points, severe), and MDS‐UPDRS severity levels (for Part I: 1–10, mild; 11–21, moderate; and ≥ 22 points, severe; for Part II: 1–12, mild; 13–29, moderate; and ≥ 30 points, severe; for Part III, 1–32, mild; 33–58, moderate; and ≥ 59 points, severe; and for Part IV: 1–4, mild; 5–12, moderate; and ≥ 13 points, severe). 26 Differences in NMS prevalence between groups was determined calculating Fisher's exact and chi‐squared tests.
Data were analyzed using IBM SPSS Statistics 22.
Results
The sample comprised 402 PD patients (62.2% male), with a mean disease duration of 8.2 (standard deviation, SD: 5.9; median: 7, inter‐quartile range, IQR: 4–12) years and in Hoehn and Yahr stages 1 to 4 (median: 2, IQR: 2–3). Main characteristics of the sample have been previously published 20 and are displayed in the Table S1.
Using the MDS‐NMS, 99.7% of the sample showed at least one NMS, while the NMSS identified NMS in 97.6%, and the MDS‐UPDRS Part I in 98.5%. Patients had a mean of 16.13 NMS (SD: 9.36; range: 0–46; median: 14; IQR: 9–22) using the MDS‐NMS, a mean of 9.55 (SD: 5.64; range: 0–25; median: 9; IQR: 5–13) using the NMSS and a mean of 5.96 NMS (SD: 2.76; range: 0–12; median: 6; IQR: 4–8) using the MDS‐UPDRS Part I.
The most prevalent symptom using the MDS‐NMS was muscle, joint or back pain (item L1, 67.4% of the sample) (Table 1). The least prevalent NMS was dopamine dysregulation syndrome (item E4, 2.2%). For comparison, using the NMSS, the most frequent symptom was forgetting things (item 17, 52.5%), and the least frequent were the items related to hallucinations and delusions (item 14, 3.7%; and item 13, 14.1%) (Table 1). Using the Part I of the MDS‐UPDRS, daytime sleepiness (item 1.8, 72.3%) was the most endorsed item, while features of dopamine dysregulation syndrome (item 1.6, 7.0%) was the least frequent. Overall, corresponding items showed higher prevalence rates using the MDS‐NMS than on the NMSS and MDS‐UPDRS part 1 (Table 1).
TABLE 1.
Percentage of symptoms measured by MDS‐NMS, NMSS and MDS‐UPDRS Part I
| MDS‐NMS | % * | NMSS | % a | MDS‐UPDRS Part I | % * |
|---|---|---|---|---|---|
| A1. Sad or depressed | 47.9 | 10. Sad or depressed | 39.9 | 1.3 Depressed mood | 38.9 |
| 11. Flat moods | 28.4 | ||||
| A2. Difficulty pleasure | 25.4 | 12. Difficulty pleasure | 22.1 | ||
| A3. Hopeless | 21.0 | ||||
| A4. Negative thoughts | 26.4 | ||||
| A5. Felt life is not worth | 12.0 | ||||
| B1. Worried | 54.5 | 9. Nervous, worried | 31.1 | 1.4 Anxious mood | 46.8 |
| B2. Nervous | 44.3 | 9. Nervous, worried | 31.1 | ||
| B3. Panic or anxiety attacks | 15.2 | ||||
| B4. Worried about in public | 32.1 | 9. Nervous, worried | 31.1 | ||
| C1. Reduced motivation | 38.3 | 7. Lost interest in surroundings | 20.2 | 1.5 Apathy | 28.7 |
| 8. Lost interest in doing things | 33.3 | ||||
| C2. Reduced interest talking | 28.4 | 8. Lost interest in doing things | 33.3 | ||
| C3. Reduction in emotions | 18.7 | 11. Flat moods | 28.4 | ||
| D1. Passage or presence | 21.9 | 1.2 Hallucinations and psychosis | 17.7 | ||
| D2. Illusions | 15.4 | 13. Sees things that are not there | 14.1 | ||
| D3. Hallucinations | 10.7 | 13. Sees things that are not there | 14.1 | ||
| D4. Delusions, misidentification | 4.5 | 14. Beliefs that are not true | 3.7 | ||
| E1. Increase in gambling, sex, | 8.2 | ||||
| E2. Increase other behaviours | 6.5 | ||||
| E3. Punding | 4.0 | ||||
| E4. Dopamine dysregulation | 2.2 | 1.6 Features of DDS | 7.0 | ||
| F1. Difficulty remembering | 59.0 |
17. Forget things |
52.5 |
1.1 Cognitive impairment | 48.0 |
| 18. Forget to do things | 36.8 | ||||
| F2. Difficulty learning new | 34.6 | ||||
| F3. Difficulty keeping focus | 45.8 | 16. Problems sustaining concentration | 40.8 | ||
| F4. Difficulty finding words | 54.0 | ||||
| F5. Executive abilities | 28.6 | ||||
| F6. Visuospatial abilities | 17.4 | ||||
| G1. Lightheaded or fainted | 29.6 | 1. Light‐headedness, faintness | 36.1 | 1.12 Light headedness on standing | 33.1 |
| G2. Dizziness or weakness | 34.3 | 1. Light‐headedness, faintness | 36.1 | ||
| H1. Urinary urgency | 57.2 | 22. Urgency | 48.0 | 1.10 Urinary problems | 63.7 |
| H2. Urinary frequency | 42.3 | 23. Frequency | 37.7 | ||
| H3. Nocturia | 41.5 | 24. Nocturia | 50.9 | ||
| I1. Decreased sexual drive | 31.4 | 25. Altered interest in sex | 26.9 | ||
| I2. Difficulty sexual arousal | 29.3 | 26. Problems having sex | 26.3 | ||
| J1. Drooling of saliva | 46.6 | 19. Dribbling saliva | 33.3 | ||
| J2. Difficulty swallowing | 30.4 | 20. Difficulty swallowing | 28.1 | ||
| J3. Nausea, feel sick stomach | 19.7 | ||||
| J4. Constipation | 34.6 | 21. Constipation | 33.1 | 1.11 Constipation problems | 48.0 |
| K1. Insomnia | 51.4 | 5. Difficult falling/staying asleep | 49.0 | 1.7 Sleep problems | 62.6 |
| K2. REM sleep behavior | 46.8 | ||||
| K3. Dozed off or fallen asleep | 48.3 | 3. Doze off or fall sleep | 46.0 | 1.8 Daytime sleepiness | 72.3 |
| K4. Restlessness | 37.1 | 6. Restlessness | 33.3 | ||
| K5. Periodic limb movements | 38.3 | ||||
| K6. Snoring, gasping, breathing | 13.2 | ||||
| L1. Muscle, joint or back pain | 67.4 | 27. Pain | 29.6 | 1.9 Pain and other sensations | 64.9 |
| L2. Deep or dull aching pain | 28.6 | 27. Pain | 29.6 | ||
| L3. Pain due to dystonia | 20.9 | ||||
| L4. Other types of pain | 14.4 | ||||
| M1. Weight loss | 10.7 | 29. Change in weight | 14.2 | ||
| M2. Impaired olfaction | 57.0 | 28. Change in ability to taste/smell | 54.7 | ||
| M3. Physical fatigue | 55.0 | 4. Fatigue or lack of energy | 51.2 | 1.13 Fatigue | 64.9 |
| M4. Mental fatigue | 32.3 | 4. Fatigue or lack of energy | 51.2 | ||
| M5. Excessive sweating | 21.4 | 30. Excessive sweating | 17.2 |
Percentages are computed as the proportion of scores ≥1 in each item.
In general, all items were similarly prevalent in both sexes, except item A1. Felt sad or depressed, which was significantly more prevalent in women, and items H2. Urinary frequency, H3. Nocturia, I2. Difficulty with sexual arousal, and J1. Drooling of saliva, significantly more frequent in men (Table S2). The prevalence of individual NMS in both sexes is displayed in Table S2.
At the domain level the most prevalent on the MDS‐NMS was domain K. Sleep and wakefulness (86.5%) (Table 2). The least prevalent domain was E. Impulse control and related disorders (16.5%) in the total sample and in both sexes. Women more commonly reported symptoms in domain A. Depression (65.1%) than men (55.0%), while men showed more symptoms in domains H. Urinary and I. Sexual (78.0% and 47.7%) than women (67.8% and 27.1%).
TABLE 2.
Percentage of patients with non‐motor symptoms in each MDS‐NMS domain and total scale in total sample and by sex
| Total sample (N = 402) | Men (N = 250) | Women (N = 152) | |||||
|---|---|---|---|---|---|---|---|
| N | % * | N | % * | N | % * | P ** | |
| A. Depression | 226 | 56.4 | 127 | 55.0 | 99 | 65.1 | 0.007 |
| B. Anxiety | 270 | 67.2 | 162 | 64.8 | 108 | 71.1 | 0.228 |
| C. Apathy | 189 | 47.0 | 122 | 48.8 | 67 | 44.1 | 0.410 |
| D. Psychosis | 125 | 31.1 | 84 | 33.6 | 41 | 27.0 | 0.183 |
| E. IC & related disorders | 66 | 16.5 | 40 | 16.1 | 26 | 17.1 | 0.783 |
| F. Cognition | 322 | 80.1 | 203 | 81.2 | 119 | 78.3 | 0.520 |
| G. Orthos. hypotension | 166 | 41.3 | 105 | 42.0 | 61 | 40.1 | 0.754 |
| H. Urinary | 298 | 74.1 | 195 | 78.0 | 103 | 67.8 | 0.026 |
| I. Sexual | 150 | 40.0 | 112 | 47.7 | 38 | 27.1 | <0.001 |
| J. Gastrointestinal | 289 | 72.1 | 184 | 73.9 | 105 | 69.1 | 0.304 |
| K. Sleep & wakefulness | 347 | 86.5 | 215 | 86.3 | 132 | 86.8 | 1.000 |
| L. Pain | 305 | 75.9 | 187 | 74.8 | 118 | 77.6 | 0.550 |
| M. Other | 322 | 80.1 | 197 | 78.8 | 125 | 82.2 | 0.441 |
| MDS‐NMS TOTAL | 372 | 99.7 | 232 | 99.6 | 140 | 100.0 | 1.000 |
Percentages are computed as the proportion of scores ≥1 in each domain.
Fisher's test. IC: Impulse control.
In general, patients in moderate and severe HY, CISI‐PD and MDS‐UPDRS Parts II, III and IV severity levels presented higher frequency of NMS in most MDS‐NMS domains than patients in the mild level (Table 3). All MDS‐NMS domains presented significantly increasing prevalence as MDS‐UPDRS Part I severity levels increased.
TABLE 3.
Percentage of patients with NMS in MDS‐NMS domains by severity levels
| Severity levels* | MDS‐NMS domains | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| HY | A | B | C | D | E | F | G | H | I | J | K | L | M | MDS‐NMS Total |
| Mild (N = 270) | 48.7 ** | 64.1 | 40.7 ** | 27.8 ** | 18.5 | 75.9 ** | 38.9 ** | 70.4 | 39.1 | 69.5 ** | 85.2 | 73.3 | 78.1 | 99.6 |
| Moderate (N = 111) | 69.4 ** | 71.2 | 58.6 ** | 34.2 ** | 13.6 | 91.0 ** | 42.3 ** | 80.2 | 44.0 | 73.9 ** | 89.2 | 80.2 | 82.9 | 100 |
| Severe (N = 21) | 85.7 | 85.7 | 66.7 | 57.1 | 4.8 | 76.2 | 66.7 | 90.5 | 31.6 | 95.2 | 90.0 | 85.7 | 90.5 | 100 |
| p *** | <0.001 | 0.072 | 0.001 | 0.014 | 0.169 | 0.003 | 0.043 | 0.030 | 0.516 | 0.036 | 0.522 | 0.203 | 0.272 | 0.791 |
| CISI‐PD | ||||||||||||||
| Mild (N = 228) | 47.1 ** | 60.1 ** | 37.7 ** | 23.2 ** | 14.0 | 73.2 ** | 39.9 | 67.5 ** | 34.0 ** | 64.5 ** | 82.9 | 72.4 | 75.0 ** | 99.5 |
| Moderate (N = 158) | 67.7 ** | 75.9 ** | 57.6 ** | 41.8 ** | 20.4 | 89.2 ** | 43.7 | 82.9 ** | 48.3 ** | 80.9 ** | 90.4 | 79.7 | 86.7 ** | 100 |
| Severe (N = 12) | 83.3 | 83.3 | 66.7 | 50.0 | 8.3 | 91.7 | 33.3 | 91.7 | 36.4 | 100 | 100 | 100 | 100 | 100 |
| p *** | <0.001 | 0.002 | <0.001 | <0.001 | 0.190 | <0.001 | 0.650 | 0.001 | 0.022 | <0.001 | 0.040 | 0.036 | 0.004 | 0.678 |
| MDS‐UPDRS Part I | ||||||||||||||
| Mild (N = 222) | 60.4 ** | 55.0 ** | 33.3 ** | 22.5 ** | 9.0 ** | 71.2 ** | 34.2 | 65.8 ** | 28.2 ** | 63.3 ** | 79.3 ** | 70.7 ** | 72.1 ** | 100 |
| Moderate (N = 140) | 25.0 ** | 81.4 ** | 58.6 ** | 39.3 ** | 25.7 ** | 92.1 ** | 45.7 | 84.3 ** | 48.5 ** | 84.3 ** | 96.4 ** | 85.0 ** | 88.6 ** | 100 |
| Severe (N = 30) | 0 | 96.7 | 99.7 | 56.7 | 30.0 | 100 | 80.0 | 96.7 | 82.8 | 86.7 | 100 | 83.3 | 100 | 100 |
| p *** | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | 0.005 | <0.001 | 0.678 |
| MDS‐UPDRS Part II | ||||||||||||||
| Mild (N = 216) | 43.7 ** | 58.8 ** | 34.7 ** | 20.8 ** | 12.5 ** | 72.7 ** | 31.9 ** | 65.7 ** | 32.0 ** | 62.5 ** | 84.7 | 70.8 ** | 71.8 ** | 99.5 |
| Moderate (N = 162) | 71.0 ** | 79.0 ** | 59.9 ** | 43.2 ** | 23.6 ** | 90.7 ** | 53.7 ** | 84.0 ** | 50.0 ** | 85.1 ** | 88.2 | 84.0 ** | 90.7 ** | 100 |
| Severe (N = 13) | 84.6 | 76.9 | 100 | 69.2 | 7.7 | 92.3 | 61.5 | 100 | 58.3 | 92.3 | 100 | 82.3 | 82.3 | 100 |
| p *** | <0.001 | <0.001 | <0.001 | <0.001 | 0.012 | <0.001 | <0.001 | <0.001 | 0.001 | <0.001 | 0.219 | 0.005 | <0.001 | 0.663 |
| MDS‐UPDRS Part III | ||||||||||||||
| Mild (N = 194) | 46.6 ** | 60.8 | 35.1 ** | 21.1 ** | 12.9 | 74.7 | 35.6 | 66.0 ** | 32.1 | 67.0 | 86.6 | 67.0 ** | 72.7 | 99.5 |
| Moderate (N = 96) | 68.8 ** | 69.8 | 51.0 ** | 36.5 ** | 10.4 | 86.5 | 49.0 | 83.3 ** | 38.2 | 79.2 | 84.4 | 81.3 ** | 83.3 | 100 |
| Severe (N = 10) | 90.0 | 100 | 70.0 | 40.0 | 20.0 | 90.0 | 50.0 | 70.0 | 33.3 | 60.0 | 100 | 80.0 | 80.0 | 100 |
| p *** | <0.001 | 0.020 | 0.006 | 0.013 | 0.630 | 0.048 | 0.075 | 0.008 | 0.604 | 0.076 | 0.418 | 0.034 | 0.128 | 0.764 |
| MDS‐UPDRS Part IV | ||||||||||||||
| Mild (N = 97) | 53.6 | 63.9 | 44.3 | 27.8 | 14.6 | 81.4 | 39.2 | 70.1 | 26.4 | 76.3 | 89.7 | 71.1 | 84.5 | 100 |
| Moderate (N = 125) | 71.2 | 81.7 | 57.9 | 38.1 | 29.4 | 84.1 | 46.0 | 86.5 | 57.7 | 81.6 | 92.1 | 84.1 | 90.5 | 100 |
| Severe (N = 9) | 88.9 | 88.9 | 66.7 | 66.7 | 22.2 | 100 | 55.6 | 77.8 | 62.5 | 77.8 | 88.9 | 77.8 | 100 | 100 |
| p *** | 0.007 | 0.006 | 0.090 | 0.035 | 0.034 | 0.346 | 0.450 | 0.011 | <0.001 | 0.623 | 0.809 | 0.065 | 0.211 | 1.000 |
Parkinson's disease severity levels according to Expert Rev Neurother 2018;18:41–50 [Ref. 26].
significant differences between mild and moderate levels.
chi‐squared test.
The table shows the percentage of scores ≥1 in each domain.
MDS‐NMS domains: A. Depression, B. Anxiety, C. Apathy, D. Psychosis, E. Impulse control and related disorders, F. Cognition, G. Orthostatic hypotension, H. Urinary, I. Sexual, J. Gastrointestinal, K. Sleep and wakefulness, L. Pain, M. Other.
Using the NMF subscale, 165 (41%) patients presented NMF, of whom 68.5% presented fluctuations in fatigue and 62.4% in anxiety (Table 4). In this sub‐sample of patients with NMF, men represented 59.4%, with significant between‐sex differences in NMF only for pain (37.6% men vs 49.3% women). Fluctuations in bladder symptoms significantly increased in prevalence by HY severity levels, while fluctuations in anxiety, thinking and cognitive abilities and excessive sweating were more common as CISI‐PD severity levels increased. Table 5 presents the results in the sub‐sample with NMF. Results referred to the full sample are showed in Table S3.
TABLE 4.
Percentage of patients with NMF in the total sample and by sex
| N | % Total sample * (N = 402) | % patients with fluctuations * (N = 165) | N | % men * (N = 250) | % men with fluctuations * (N = 98) | N | % women * (N = 152) | % women with fluctuations * (N = 67) | P ** | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1. Depression | 67 | 16.7 | 40.6 | 36 | 14.5 | 36.7 | 31 | 20.4 | 46.3 | 0.259 |
| 2. Anxiety | 103 | 25.6 | 62.4 | 59 | 23.6 | 60.2 | 44 | 28.9 | 65.7 | 0.516 |
| 3. Thinking or cognitive abilities | 93 | 23.1 | 56.4 | 52 | 20.9 | 53.1 | 41 | 27.0 | 61.2 | 0.339 |
| 4. Bladder symptoms | 41 | 10.2 | 24.8 | 27 | 10.8 | 27.6 | 14 | 9.2 | 20.9 | 0.364 |
| 5. Restlessness | 70 | 17.4 | 41.8 | 44 | 17.6 | 43.9 | 26 | 17.1 | 39.8 | 0.526 |
| 6. Pain | 64 | 15.9 | 38.8 | 31 | 12.4 | 31.6 | 33 | 21.7 | 49.3 | 0.034 |
| 7. Fatigue | 113 | 28.1 | 68.5 | 68 | 27.2 | 69.4 | 45 | 29.6 | 67.2 | 0.865 |
| 8. Excessive sweating | 24 | 6.0 | 14.5 | 14 | 5.6 | 14.3 | 10 | 6.6 | 14.9 | 1.000 |
Percentages are computed as the proportion of scores ≥1 in each item.
Fisher's test for the sample with fluctuations.
TABLE 5.
Percentage of patients with NMF by severity levels
| Severity levels* | NMF items | |||||||
|---|---|---|---|---|---|---|---|---|
| HY | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| Mild (N = 105) | 36.2 | 59.0 | 52.4 | 23.8 ** | 42.9 | 37.1 | 69.5 | 9.5 |
| Moderate (N = 47) | 48.9 | 66.0 | 68.1 | 19.1 ** | 42.6 | 42.6 | 63.8 | 23.4 |
| Severe (N = 13) | 46.2 | 76.9 | 46.2 | 53.8 | 30.8 | 38.5 | 76.9 | 23.1 |
| P *** | 0.306 | 0.382 | 0.146 | 0.035 | 0.701 | 0818 | 0.621 | 0.053 |
| CISI‐PD | ||||||||
| Mild (N = 59) | 33.9 | 47.5 ** | 44.1 ** | 16.9 | 39.0 | 35.6 | 61.0 | 5.1 ** |
| Moderate (N = 96) | 43.8 | 70.8 ** | 64.6 ** | 27.1 | 44.8 | 38.5 | 72.9 | 19.8 ** |
| Severe (N = 10) | 50.0 | 70.0 | 50.0 | 50.0 | 30.0 | 60.0 | 70.0 | 20.0 |
| P *** | 0.395 | 0.012 | 0.040 | 0.060 | 0.572 | 0.341 | 0.300 | 0.037 |
| MDS‐UPDRS Part IV | ||||||||
| Mild (N = 97) | 31.3 | 50.0 | 45.8 | 20.8 | 37.5 | 39.6 | 60.4 | 8.3 ** |
| Moderate (N = 125) | 45.9 | 68.4 | 60.2 | 25.5 | 42.9 | 38.8 | 75.5 | 16.3 ** |
| Severe (N = 9) | 44.4 | 67.6 | 67.6 | 44.4 | 44.4 | 22.2 | 88.9 | 44.4 |
| P *** | 0.235 | 0.095 | 0.209 | 0.323 | 0.810 | 0.599 | 0.082 | 0.021 |
Percentages are computed as the proportion of scores ≥1 in each item.
NMF items: 1. Depression, 2. Anxiety, 3 Thinking or cognitive abilities, 4. Bladder symptoms, 5. Restlessness, 6. Pain, 7. Fatigue, 8. Excessive sweating.
Parkinson's disease severity levels according to Expert Rev Neurother 2018;18:41–50 [Ref. 26].
significant differences between levels.
chi‐squared test;
Discussion
This is the first study that uses the newly developed MDS‐NMS for reporting the prevalence of NMS and NMF in PD. The results and can lead to a better understanding on the patterns of occurrence and profiles of NMS in PD.
The study revealed a high frequency of NMS using all three scales, yielding the highest prevalence rates with the MDS‐NMS. This scale is the most comprehensive tool, and includes NMS that are missing in the other scales, such as impulse control disorders and different types of pain. 20 This is also reflected in the different mean number of NMS measured by each instrument indicating that this rating scale is able to capture more comprehensively the full range of important and prevalent NMS or to differentiate several specific non‐motor symptoms. Our prevalence figures are overall in line with previous studies that have shown the great frequency and burden of NMS in PD. 17 , 27 For example, using the NMSQuest, PD patients have 8.3 NMS in average (range: 4–19), while healthy controls show a mean of 3.5 NMS (range: 2–12). 6 , 28
Due to the differences between the rating scales applied in this study, their components are not equivalent and therefore the most and least prevalent NMS are not the same across instruments. For example, the NMSS does not have an item on dopamine dysregulation syndrome. Nonetheless, items pertaining to the cognitive, urinary and pain domains were the most endorsed in all three instruments, while those pertaining to impulse control disorders and psychosis domains were the least prevalent. Cognitive decline, including mild cognitive impairment, may occur even in early stages of the disease, and is related to lower quality of life and higher caregiver burden. 29 Regarding urinary problems, 62% patients had nocturia and 56% urinary urgency in a previous study using the NMSQuest. 28 These symptoms are frequently reported as one of the main sources of disease burden and impairment of quality of life in PD patients. 30 , 31 , 32 Pain is also a complex and common symptom in PD as seen in the PRIAMO study, 27 with a considerable impact on quality of life. 33 Specifically, musculoskeletal pain has been found to be highly prevalent in different studies, with abnormal nociceptive input processing in the central nervous system as a possible explicative factor. 34 , 35 Given the frequency and impact of these NMS, it is essential that clinicians are aware of their high frequency to fully assess and manage them. 36
The differences in frequency of some NMS between men and women have been described in previous studies. 37 , 38 In our study, women showed higher prevalence of depression on the MDS‐NMS, similar to what is seen in the general population, while men presented more urinary and sexual problems and drooling of saliva, in line with the results of other studies. 37 Gender‐related differences in PD have been also seen in age at PD onset, in some motor features and motor fluctuations and with levodopa‐induced dyskinesia which have been reported to be more severe and of earlier appearance in women. 39 , 40 In this study, some differences were also observed between sexes in NMF. Women showed significantly more fluctuations only in pain than men, but according to previous studies, being female is a risk factor for NMF overall. 41 , 42 Differences between sexes in PD may be explained by variances in gene expression in human dopaminergic neurons in the central nervous system, the protective role of estrogens in women, different profiles of risk factors between men and women and the influence of environmental factors. 40 More studies are however needed to elucidate the basic physiological mechanisms that underlies the sex‐related differences in NMS and NMF in PD.
In general, the prevalence of NMS and some NMF increased as PD severity increased, as seen in other studies. 43 Some NMS are common in prodromal or early stages of PD (sleep disorders, constipation and depression) and have been proposed as a clinical biomarkers of PD, while others clearly are more frequent in advanced stages of the disease (dementia, apathy). 4 , 44 Different profiles of NMS can be also identified in early‐ and late‐stage‐ PD patients. 45 In our study, depression, apathy, psychosis, orthostatic hypotension, and urinary and gastrointestinal problems were significantly more prevalent in moderate–severe HY stages than in mild patients. In general, NMS were also less prevalent in mild than in more severe levels using CISI‐PD and MDS‐UPDRS severity levels. The existence of non‐motor subtypes or phenotypes in PD and their correlation with PD motor subtypes is an emerging line of research, 46 and the differences in NMS prevalence across the PD stages may shed a light on this topic. In line with this, severity of motor and cognitive features combined with disease duration has been proposed as one of the aspects for defining a benign vs malignant (or a slow vs fast) PD course. 47 According to previous studies, disease duration is also a determinant of the appearance of NMF, along with levodopa treatment, motor fluctuations and autonomic symptoms. 48
As an advantage, the MDS‐NMS is the first comprehensive and global instrument that includes the assessment of the NMF. NMF appear simultaneously with or later than motor fluctuations, and can be a marker of severe neurodegeneration. 49 Despite its impact on the patients' quality of life and disease burden, NMF have been largely underestimated in clinical practice and research. 50
Some limitations in this study should be acknowledged. The sample was limited to English‐speaking patients attending movement disorders clinics in United States and United Kingdom. Moreover, it was a convenience sample and whilst efforts were made to include patients from all stages, advanced stages were underrepresented, and the prevalence is likely to be even higher in more advanced samples. On the other hand, although the inclusion of patients with mild cognitive impairment could lead to some difficulties in the application of the instrument, cognitive impairment is common in PD and it is likely that the prevalence of cognitive features is an underestimate. These weaknesses could restrict external validity of the study, but the main characteristics of the sample (mean age, sex distribution, HY stages) are coincident with most studies on clinical characteristics of PD patients. Although it is not an epidemiological study, it is the first study reporting frequencies of NMS and NMF using the newly developed MDS‐NMS.
In conclusion, the prevalence of NMS and NMF in our sample was high. The use of the MDS‐NMS provides a greater range and higher prevalence rates of NMS, and its routine administration can help lead to a better recognition and management of all NMS in PD.
Author Roles
1. Research Project: A. Conception, B. Organization, C. Execution; 2. Statistical Analysis: A. Design, B. Execution, C. Review and Critique; 3. Manuscript Preparation: A. Writing of the First Draft, B. Review and Critique.
C.R.‐B.: 2A, 2B, 3A.
A.S.: 1A, 1B, 1C, 2C, 3B.
A.R.: 1B, 1C, 2C, 3B.
K.R.C.: 1A, 1B, 1C, 2C, 3B.
P.M.‐M.: 1A, 1B, 1C, 2C, 3B.
D.W.: 1A, 1B, 1C, 2C, 3B.
C.R.‐B. takes responsibility for the integrity of the data and the accuracy of the data analysis.
Disclosures
Ethical Compliance Statement
The study was approved by the institutional review boards or ethics committees of the participating centers, and the study was conducted according to Good Clinical Practice. 24 All patients gave their informed consent to participate in the study. We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this work is consistent with those guidelines.
Funding Sources and Conflict of Interest
PMM is Co‐Chair of the Program on Rating Scales of the IPMDS. The project was supported by a two‐stage academic peer‐reviewed grant from the International Parkinson's and Movement Disorder's Society (IPMDS) as well as Clinical Research Network (CRN), London South and London North Thames, National Institute of Health Research (for the UK sites).
Financial Disclosures for the previous 12 months
C.R.‐B. has nothing to disclose. A.S., research funding or support from University College London, National Institute of Health (NIHR), National Institute for Health Research ULCH Biomedical Research Centre, the International Parkinson and Movement Disorder Society (IPMDS), the European Commission, Parkinson's UK, GE Healthcare and the Economic and Social Research Council. Advisory board or consultancy from Biogen, Abbvie, Roche, Bial, GE Healthcare; and Royalties from Oxford University Press. A.R. has received salary support from the National institute of Health Research (NIHR) Clinical Research Network (CRN) South London, Guy's Hospital, Great Maze Pond, London UK and honorarium from Britannia Pharmaceuticals Ltd, UK. K.R.C., Advisory board: AbbVie, UCB, GKC, Bial, Cynapsus, Novartis, Lobsor, Stada, Medtronic, Zambon, Profile, Sunovion, Roche, Therevance, Scion, Britannia. Honoraria for lectures: AbbVie, Britannia, UCB, Mundipharma, Zambon, Novartis, Boeringer Ingelheim. Grants (Investigator Initiated): Britania Pharmaceuticals, AbbVie, UCB, GKC, Bial, Academic grants: EU, IMI EU, Horizon 2020, Parkinson's UK, NIHR, PDNMG, EU (Horizon 2020), Kirby Laing Foundation, NPF, MRC, Wellcome Trust. P.M.‐M., honoraria from National School of Public Health (ISCIII), Britannia, and Editorial Viguera for lecturing in courses; International Parkinson and Movement Disorder Society for management of the Program on Rating Scales; and Bial for advice in clinical‐epidemiological studies. Financial support by the International Parkinson and Movement Disorder Society for attending the IPMDS International Congress 2019. Research grant from the International Parkinson and Movement Disorder Society, for development and validation of the MDS‐NMS. D.W., research funding or support from Michael J. Fox Foundation for Parkinson's Research, Alzheimer's Therapeutic Research Initiative (ATRI), Alzheimer's Disease Cooperative Study (ADCS), the International Parkinson and Movement Disorder Society (IPMDS), and National Institute on Aging (NIA); honoraria for consultancy from Acadia, CHDI Foundation, Clintrex LLC (Aptinyx, Avanir, Otsuka), Eisai, Janssen, Sage, Signant Health and Sunovion; and license fee payments from the University of Pennsylvania for the QUIP and QUIP‐RS.
Supporting information
Table S1 Descriptive statistics of the sample.
Table S2. Frequency and percentage of non‐motor symptoms (scores ≥1) by sex.
Table S3. Percentage of patients with NMF by severity levels in the total sample.
Acknowledgments
The authors acknowledge grant support from the International Parkinson and Movement Disorder Society to plan, develop, and validate the English version of the MDS‐NMS in an international study. K.R.C. acknowledges support from the NIHR clinical research network and CRN‐supported staff (Dhaval Trivedi, Aleksandra Podlewska, Corinne Borley) for data collection in NHS clinics. A.S. was supported by the National Institute for Health Research UCLH Biomedical Research Centre. D.W. acknowledges the support of the Parkinson's Disease and Movement Disorders Center at the University of Pennsylvania School of Medicine and the involvement of Dr. Jacqui Rick, Sam Rudovsky, and Benjamin Deck in the conduct of the study. This article also presents independent research partly funded by the National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre and Dementia Unit at South London and Maudsley NHS Foundation Trust and King's College London, as K.R.C. is funded by these institutions. The views expressed are those of the author and not necessarily those of the NHS, the NIHR, or the Department of Health.
Reference
- 1. Poewe W. Non‐motor symptoms in Parkinson's disease. Eur J Neurol 2008;15(Suppl 1):14–20. [DOI] [PubMed] [Google Scholar]
- 2. Schapira AHV, Chaudhuri KR, Jenner P. Non‐motor features of Parkinson disease. Nat Rev Neurosci 2017;18:435–450. [DOI] [PubMed] [Google Scholar]
- 3. Titova N, Padmakumar C, Lewis SJG, Chaudhuri KR. Parkinson's: a syndrome rather than a disease? J Neural Transm 2017;124:907–914. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Schrag A, Horsfall L, Walters K, Noyce A, Petersen I. Prediagnostic presentations of Parkinson's disease in primary care: a case‐control study. Lancet Neurol 2015;14:57–64. [DOI] [PubMed] [Google Scholar]
- 5. Pfeiffer RF. Non‐motor symptoms in Parkinson's disease. Parkinsonism Relat Disord 2016;22(Suppl 1):S119–S122. [DOI] [PubMed] [Google Scholar]
- 6. Katunina E, Titova N. The epidemiology of nonmotor symptoms in Parkinson's Disease (Cohort and Other Studies). Int Rev Neurobiol 2017;133:91–110. [DOI] [PubMed] [Google Scholar]
- 7. Zis P, Martinez‐Martin P, Sauerbier A. Non‐motor symptoms burden in treated and untreated early Parkinson's disease patients: argument for non‐motor subtypes. Eur J Neurol 2015;22:1145–1150. 10.1111/ene.12733. [DOI] [PubMed] [Google Scholar]
- 8. Martinez‐Martin P, Rodriguez‐Blazquez C, Kurtis MM, Chaudhuri KR. The impact of non‐motor symptoms on health‐related quality of life of patients with Parkinson's disease. Mov Disord 2011;26:399–406. 10.1002/mds.23462. [DOI] [PubMed] [Google Scholar]
- 9. Bugalho P, Ladeira F, Barbosa R, et al. Motor and non‐motor function predictors of mortality in Parkinson's disease. J Neural Transm 2019;126:1409–1415. 10.1007/s00702-019-02055-3. [DOI] [PubMed] [Google Scholar]
- 10. Martinez‐Martin P, Rodriguez‐Blazquez C, Forjaz MJ, Kurtis MM, Skorvanek M. Measurement of nonmotor symptoms in clinical practice. Int Rev Neurobiol 2017;133:291–345. 10.1016/bs.irn.2017.04.001. [DOI] [PubMed] [Google Scholar]
- 11. Visser M, Marinus J, Stiggelbout AM, van Hilten JJ. Assessment of autonomic dysfunction in Parkinson's disease: the SCOPA‐AUT. Mov Disord 2004;19:1306–1312. [DOI] [PubMed] [Google Scholar]
- 12. Visser M, Verbaan D, van Rooden SM, Stiggelbout AM, Marinus J, van Hilten JJ. Assessment of psychiatric complications in Parkinson's disease: the SCOPA‐PC. Mov Disord 2007;22:2221–2228. 10.1002/mds.21696. [DOI] [PubMed] [Google Scholar]
- 13. Marinus J, Visser M, Martínez‐Martín P, van Hilten JJ, Stiggelbout AM. A short psychosocial questionnaire for patients with Parkinson's disease: the SCOPA‐PS. J Clin Epidemiol 2003;56:61–67. [DOI] [PubMed] [Google Scholar]
- 14. Verbaan D, van Rooden SM, Visser M, Marinus J, van Hilten JJ. Nighttime sleep problems and daytime sleepiness in Parkinson's disease. Mov Disord 2008;23:35–41. 10.1002/mds.21727. [DOI] [PubMed] [Google Scholar]
- 15. Marinus J, Visser M, Verwey NA, Verhey FRJ, Middelkoop HAM, Stiggelbout AM, Van Hilten JJ. Assessment of cognition in Parkinson's disease. Neurology 2003;61:1222–1228. [DOI] [PubMed] [Google Scholar]
- 16. Chaudhuri KR, Martinez‐Martin P, Brown RG, et al. The metric properties of a novel non‐motor symptoms scale for Parkinson's disease: results from an international pilot study. Mov Disord 2007;22:1901–1911. 10.1002/mds.21596. [DOI] [PubMed] [Google Scholar]
- 17. Chaudhuri KR, Martinez‐Martin P, Schapira AHV, et al. International multicenter pilot study of the first comprehensive self‐completed nonmotor symptoms questionnaire for Parkinson's disease: the NMSQuest study. Mov Disord 2006;21:916–923. 10.1002/mds.20844. [DOI] [PubMed] [Google Scholar]
- 18. Goetz CG, Fahn S, Martinez‐Martin P, et al. Movement Disorder Society‐sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS‐UPDRS): process, format, and clinimetric testing plan. Mov Disord 2007;22:41–47. 10.1002/mds.21198. [DOI] [PubMed] [Google Scholar]
- 19. Martinez‐Martin P, Rodriguez‐Blazquez C, Alvarez‐Sanchez M, et al. Expanded and independent validation of the Movement Disorder Society‐Unified Parkinson's Disease Rating Scale (MDS‐UPDRS). J Neurol 2013;260:228–236. 10.1007/s00415-012-6624-1. [DOI] [PubMed] [Google Scholar]
- 20. Chaudhuri KR, Schrag A, Weintraub D, Rizos A, Rodriguez‐Blazquez C, Mamikonyan E, Martinez‐Martin P. The movement disorder society nonmotor rating scale: initial validation study. Mov Disord 2020;35:116–133. 10.1002/mds.27862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Postuma RB, Berg D, Stern M, et al. MDS clinical diagnostic criteria for Parkinson's disease. Mov Disord 2015;30:1591–1601. 10.1002/mds.26424. [DOI] [PubMed] [Google Scholar]
- 22. Nasreddine ZS, Phillips NA, Bédirian V, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc 2005;53:695–699. 10.1111/j.1532-5415.2005.53221.x. [DOI] [PubMed] [Google Scholar]
- 23. Dalrymple‐Alford JC, MacAskill MR, Nakas CT, et al. The MoCA: well‐suited screen for cognitive impairment in Parkinson disease. Neurology 2010;75:1717–1725. 10.1212/WNL.0b013e3181fc29c9. [DOI] [PubMed] [Google Scholar]
- 24. Grimes DA, Hubacher D, Nanda K, Schulz KF, Moher D, Altman DG. The Good Clinical Practice guideline: a bronze standard for clinical research. Lancet 2005;366:172–174. 10.1016/S0140-6736(05)66875-4. [DOI] [PubMed] [Google Scholar]
- 25. Martínez‐Martín P, Rodríguez‐Blázquez C, Forjaz MJ, de Pedro J. The clinical impression of severity index for Parkinson's disease: international validation study. Mov Disord 2009;24:211–217. 10.1002/mds.22320. [DOI] [PubMed] [Google Scholar]
- 26. Martinez‐Martin P, Ray Chaudhuri K. Comprehensive grading of Parkinson's disease using motor and non‐motor assessments: addressing a key unmet need. Expert Rev Neurother 2018;18:41–50. 10.1080/14737175.2018.1400383. [DOI] [PubMed] [Google Scholar]
- 27. Barone P, Antonini A, Colosimo C, Marconi R, et al. The PRIAMO study: a multicenter assessment of nonmotor symptoms and their impact on quality of life in Parkinson's disease. Mov Disord 2009;24:1641–1649. 10.1002/mds.22643. [DOI] [PubMed] [Google Scholar]
- 28. Martinez‐Martin P, Schapira AHV, Stocchi F. Prevalence of nonmotor symptoms in Parkinson's disease in an international setting; study using nonmotor symptoms questionnaire in 545 patients. Mov Disord 2007;22:1623–1629. 10.1002/mds.21586. [DOI] [PubMed] [Google Scholar]
- 29. Martinez‐Martin P, Rodriguez‐Blazquez C, Forjaz MJ, et al. Neuropsychiatric symptoms and caregiver's burden in Parkinson's disease. Parkinsonism Relat Disord 2015;21:629–634. 10.1016/j.parkreldis.2015.03.024. [DOI] [PubMed] [Google Scholar]
- 30. Gallagher DA, Lees AJ, Schrag A. What are the most important nonmotor symptoms in patients with Parkinson's disease and are we missing them? Mov Disord 2010;25:2493–2500. 10.1002/mds.23394. [DOI] [PubMed] [Google Scholar]
- 31. Kurtis MM, Rodriguez‐Blazquez C, Martinez‐Martin P, ELEP Group . Relationship between sleep disorders and other non‐motor symptoms in Parkinson's disease. Parkinsonism Relat Disord 2013;19:1152–1155. 10.1016/j.parkreldis.2013.07.026. [DOI] [PubMed] [Google Scholar]
- 32. Rahman S, Griffin HJ, Quinn NP, Jahanshahi M. Quality of life in Parkinson's disease: the relative importance of the symptoms. Mov Disord 2008;23:1428–1434. 10.1002/mds.21667. [DOI] [PubMed] [Google Scholar]
- 33. Martinez‐Martin P, Manuel Rojo‐Abuin J, Rizos A, Rodriguez‐Blazquez C, Trenkwalder C, Perkins L, et al. Distribution and impact on quality of life of the pain modalities assessed by the King's Parkinson's disease pain scale. NPJ Park Dis 2017;3:8 10.1038/s41531-017-0009-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Broen MPG, Braaksma MM, Patijn J, Weber WEJ. Prevalence of pain in Parkinson's disease: a systematic review using the modified QUADAS tool. Mov Disord 2012;27:480–484. 10.1002/mds.24054. [DOI] [PubMed] [Google Scholar]
- 35. Defazio G, Gigante A, Mancino P, Tinazzi M. The epidemiology of pain in Parkinson's disease. J Neural Transm 2013;120:583–586. 10.1007/s00702-012-0915-7. [DOI] [PubMed] [Google Scholar]
- 36. Sauerbier A, Cova I, Rosa‐Grilo M, Taddei RN, Mischley LK, Chaudhuri KR. Treatment of Nonmotor Symptoms in Parkinson's Disease. Int Rev Neurobiol 2017;132:361–379. 10.1016/bs.irn.2017.03.002. [DOI] [PubMed] [Google Scholar]
- 37. Martinez‐Martin P, Falup Pecurariu C, Odin P, et al. Gender‐related differences in the burden of non‐motor symptoms in Parkinson's disease. J Neurol 2012;259:1639–1647. 10.1007/s00415-011-6392-3. [DOI] [PubMed] [Google Scholar]
- 38. Picillo M, Amboni M, Erro R, et al. Gender differences in non‐motor symptoms in early, drug naïve Parkinson's disease. J Neurol 2013;260:2849–2855. 10.1007/s00415-013-7085-x. [DOI] [PubMed] [Google Scholar]
- 39. Hassin‐Baer S, Molchadski I, Cohen OS, Nitzan Z, Efrati L, Tunkel O, Kozlova E. Gender effect on time to levodopa‐induced dyskinesias. J Neurol 2011;258:2048–2053. 10.1007/s00415-011-6067-0. [DOI] [PubMed] [Google Scholar]
- 40. Georgiev D, Hamberg K, Hariz M, Forsgren L, Hariz G‐M. Gender differences in Parkinson's disease: a clinical perspective. Acta Neurol Scand 2017;136:570–584. 10.1111/ane.12796. [DOI] [PubMed] [Google Scholar]
- 41. Picillo M, Palladino R, Moccia M, et al. Gender and non motor fluctuations in Parkinson's disease: a prospective study. Parkinsonism Relat Disord 2016;27:89–92. 10.1016/j.parkreldis.2016.04.001. [DOI] [PubMed] [Google Scholar]
- 42. Picillo M, Nicoletti A, Fetoni V, Garavaglia B, Barone P, Pellecchia MT. The relevance of gender in Parkinson's disease: a review. J Neurol 2017;264:1583–1607. 10.1007/s00415-016-8384-9. [DOI] [PubMed] [Google Scholar]
- 43. Simuni T, Caspell‐Garcia C, Coffey CS, et al. Baseline prevalence and longitudinal evolution of non‐motor symptoms in early Parkinson's disease: the PPMI cohort. J Neurol Neurosurg Psychiatry 2018;89:78–88. 10.1136/jnnp-2017-316213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Chen H, Zhao EJ, Zhang W, et al. Meta‐analyses on prevalence of selected Parkinson's nonmotor symptoms before and after diagnosis. Transl Neurodegener 2015;4(1):1 10.1186/2047-9158-4-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Zis P, Erro R, Walton CC, Sauerbier A, Chaudhuri KR. The range and nature of non‐motor symptoms in drug‐naive Parkinson's disease patients: a state‐of‐the‐art systematic review. NPJ Park Dis 2015;1:15013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Mu J, Chaudhuri KR, Bielza C, de Pedro‐Cuesta J, Larrañaga P, Martinez‐Martin P. Parkinson's Disease Subtypes Identified from Cluster Analysis of Motor and Non‐motor Symptoms. Front Aging Neurosci 2017;9:301 10.3389/fnagi.2017.00301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Merola A, Romagnolo A, Dwivedi AK, et al. Benign versus malignant Parkinson disease: the unexpected silver lining of motor complications. J Neurol 2020;267:2949–2960. 10.1007/s00415-020-09954-6. [DOI] [PubMed] [Google Scholar]
- 48. Brun L, Lefaucheur R, Fetter D, et al. Non‐motor fluctuations in Parkinson's disease: prevalence, characteristics and management in a large cohort of parkinsonian outpatients. Clin Neurol Neurosurg 2014;127:93–96. 10.1016/j.clineuro.2014.10.006. [DOI] [PubMed] [Google Scholar]
- 49. Kim A, Kim H‐J, Shin CW, et al. Emergence of non‐motor fluctuations with reference to motor fluctuations in Parkinson's disease. Parkinsonism Relat Disord 2018;54:79–83. 10.1016/j.parkreldis.2018.04.020. [DOI] [PubMed] [Google Scholar]
- 50. Martínez‐Fernández R, Schmitt E, Martinez‐Martin P, Krack P. The hidden sister of motor fluctuations in Parkinson's disease: a review on nonmotor fluctuations. Mov Disord 2016;31:1080–1094. 10.1002/mds.26731. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Table S1 Descriptive statistics of the sample.
Table S2. Frequency and percentage of non‐motor symptoms (scores ≥1) by sex.
Table S3. Percentage of patients with NMF by severity levels in the total sample.
