Abstract
Background
The Movement Disorder Society Unified Parkinson Disease Rating Scale (MDS-UDPRS) is a commonly used tool to measure Parkinson disease (PD) progression. Longitudinal changes in MDS-UPDRS scores in de novo PD have not been established.
Objective
Determine progression rates of MDS-UPDRS scores in de novo PD.
Methods
362 participants from the Parkinson’s Progression Markers Initiative, a multicenter longitudinal cohort study of de novo PD, were included. Longitudinal progression of MDS-UPDRS total and subscale scores were modeled using mixed model regression.
Results
MDS-UPDRS scores increased in a linear fashion over five years in de novo PD. MDS-UPDRS total score increased an estimated 4.0 points/year, Part I 0.25 points/year, Part II 1.0 points/year, and Part III 2.4 points/year.
Conclusions
The expected average progression of MDS-UPDRS scores in de novo PD from this study can assist in clinical monitoring and provide comparative data for detection of disease modification in treatment trials.
Keywords: Parkinson disease, biomarkers, disease progression, MDS-UPDRS
INTRODUCTION
Parkinson disease (PD) is a progressive neurodegenerative disorder, characterized by distinctive motor and non-motor manifestations. Symptom severity and progression in PD can be evaluated using disease-specific clinical rating scales, which offer benefits of low cost, ease of administration, and correlation with clinically important outcomes. Knowing the expected progression of rating scale scores is essential for counseling patients regarding disease prognosis, as well as for planning and interpreting clinical trials of disease-modifying therapies in PD.1
The Unified Parkinson’s Disease Rating Scale (UPDRS), developed in the 1980s, has been the most widely used rating scale for tracking PD progression.2 The UPDRS is divided into four parts: Part I - Mentation, Behavior, and Mood (4 items); Part II - Activities of Daily Living (13 items); Part III - Motor Examination (27 items); and Part IV - Complications of Therapy (11 items). Each parkinsonian sign or symptom is rated on a five-point Likert-type scale (ranging from 0 to 4), with higher scores indicating more severe impairment. The maximum total UPDRS score is 199, indicating the worst possible disability from PD. The UPDRS demonstrates good reliability and validity, as well as sensitivity to change.2–6 Several studies have examined its ability to track symptom progression over time, reporting rather wide ranges for annual score increases (total score: 3.0–14.0 points/year, Part I: 0.09 points/year; Part II: 0.3–4.7 points/year; Part III: 1.4–8.9 points/year).7–11 This lack of precision is likely due to the inclusion of a range of disease duration and severity, but may also be related to inherent ambiguities in the administration and scoring of the UPDRS.
In 2001, the Movement Disorder Society (MDS) sponsored a task force to address such weaknesses of the UPDRS, including insensitivity to early motor impairment and inability to capture symptomatic impacts on daily living.12 The MDS-sponsored revision of the UPDRS (MDS- UPDRS), published in 2008, retained the four-subscale structure and five-point severity scale, but re-organized the subscales and added several items13: Part I - Non-Motor Aspects of Experiences of Daily Living (13 items); Part II - Motor Aspects of Experiences of Daily Living (13 items); Part III - Motor Examination (33 items); and Part IV - Motor Complications (6 items). The maximum MDS-UPDRS score is higher, given additional items and scores for each body area, with a maximum score of 272.
The MDS-UPDRS has increasingly been used to rate motor and non-motor symptom severity in PD; however, analyses of how this revised scale changes over the course of early PD have not been well-reported. The expected progression of the MDS-UPDRS in de novo untreated PD is of particular importance, as it could help inform future clinical trials investigating the effect of neuroprotective agents. We have analyzed longitudinal data from the Parkinson’s Progression Markers Initiative (PPMI) to determine the rates of motor and non-motor clinical progression as measured by the MDS-UPDRS in early, initially untreated PD. Effects of initiation of dopaminergic therapy on MDS-UPDRS progression were also evaluated, as the majority of PPMI participants start receiving treatment during the course of follow-up.
METHODS
Study population
Data used in the preparation of this article were obtained from the PPMI database (www.ppmi-info.org/data). For up-to-date information on the study, visit www.ppmi-info.org. The PPMI is an international, multicenter prospective study designed to discover and validate biomarkers of disease progression in newly diagnosed PD participants (NCT01141023). Each PPMI recruitment site received approval from an institutional review board or ethics committee on human experimentation before study initiation. Written informed consent for research was obtained from all individuals participating in the study. Inclusion criteria for the PPMI consisted of a clinical diagnosis of PD, age greater than 30 years, Hoehn and Yahr stage 1 or 2, diagnosis for less than 24 months, and abnormal 123I-ioflupane SPECT scan at screening.
MDS-UPDRS data extraction
PPMI data were accessed on January 11, 2017. PPMI participants were included in our analysis if they had completed a baseline evaluation and had at least one annual follow-up visit (n=362). MDS-UPDRS Parts I-III (OFF scores for Part III) scores were drawn from the baseline visit and 12, 24, 36, 48, and 60-month follow-up visits, as available. Per the PPMI protocol, OFF state evaluation was defined as more than 6 hours post-last dose of dopaminergic therapy. A secondary analysis was performed by splitting the PPMI cohort into medicated and unmedicated groups based on the recorded presence or absence of dopaminergic therapy at an annual follow-up visit. If a participant was taking a dopaminergic medication at the 12-month follow-up visit, and stayed on medication for the rest of their time in the study, they were included in the medicated group (n=192). If a participant remained off any dopaminergic therapies by the 36-month follow-up visit, they were included in the unmedicated group (n=17).
MDS-UPDRS Part IV scores were not analyzed as an independent sub-score because no participants were taking dopaminergic medication at their baseline visit and these data were often missing in subsequent visits. When a Part IV score was available, it was included in the MDS-UPDRS total score calculation. When a Part IV score was missing, it was treated as a zero for the purposes of calculating total scores.
Sample size estimations
Reporting a significant difference in the expected rate of change of MDS-UPDRS scores over time could provide a means to support disease-modifying effects of a candidate therapeutic intervention for PD. In order to estimate sample sizes that would be required to detect a significant change in symptomatic progression between treatment groups in a hypothetical placebo-controlled study, sample power analyses were performed using MDS-UPDRS Part III data from all participants who completed a 12-month follow-up visit (n=318). At this time point, 195 participants had started dopaminergic therapy, while 123 had remained off medications. The means and standard deviations for the progression of MDS-UPDRS Part III scores were calculated for the PPMI participants who either started treatment with dopaminergic medications or remained untreated at their 12-month follow-up visit. The untreated group was considered analogous to a placebo control group in a clinical trial, and the standard deviation of the treated group was used to estimate the variance of an active treatment group.
Statistical analysis
Data were analyzed on an available case basis, at baseline and annual follow-up times. Summary statistics were obtained and data were checked for outliers and skewness with histograms, QQplots, boxplots, and graphs. Longitudinal MDS-UPDRS scores were modeled using mixed model regression, with separate models created with time as a categorical or continuous linear variable. The categorical time model was free to follow any time trajectory. The mixed models used maximum likelihood estimation and unstructured covariance matrices. Sample means and model estimates were graphed with respect to time to assess agreement and linearity of the time effect. Likelihood ratio goodness of fit tests and statistics, including the Akaike information criterion (AIC) and the Bayesian information criterion (BIC), were used to compare the continuous linear time longitudinal model to the categorical time longitudinal model. Various linear combinations of the model parameters were estimated and tested with T and F tests. Statistical analyses were performed using SAS 9.4.
RESULTS
Participant characteristics
The 362 PD participants generated a total of 1656 individual MDS-UPDRS scale measurements during the 60-month follow-up period, with an average follow-up duration of 3.9 years. There were 1655 usable observations for Part I, 1654 usable observations for Part II, 1656 usable observations for Part III, and 1653 usable observations for the total score. Part IV was recorded for 1058 observations, and assumed to be zero otherwise. Demographic and clinical characteristics of the population are summarized in Table 1.
Table 1.
Baseline N=362 |
Month 12 N=318 |
Month 24 N=312 |
Month 36 N=317 |
Month 48 N=240 |
Month 60 N=107 |
|
---|---|---|---|---|---|---|
Age (y) | 61.3 (9.8) | |||||
Gender (% female) | 33.7% | |||||
% Treated with dopaminergic medications | 0% | 57.9% | 83.3% | 90.9% | 95.4% | 90.7% |
MDS-UPDRS Total Score | 27.56 (11.48) | 33.09 (14.16) | 36.71 (15.55) | 39.61 (16.74) | 44.92 (19.76) | 47.59 (21.27) |
MDS-UPDRS Part I Score | 1.19 (1.55) | 1.49 (1.81) | 1.68 (2.03) | 1.88 (2.18) | 2.29 (2.58) | 2.54 (2.86) |
MDS-UPDRS Part II Score | 5.67 (4.13) | 7.27 (4.93) | 7.84 (5.25) | 8.57 (5.42) | 10.04 (6.64) | 10.73 (6.92) |
MDS-UPDRS Part III Score | 20.72 (8.85) | 24.11 (10.27) | 26.70 (11.26) | 28.37 (12.06) | 31.38 (12.84) | 32.54 (14.65) |
MDS-UPDRS Part IV Score | N/A | 0.36 (1.20) | 0.60 (1.61) | 0.87 (1.85) | 1.34 (2.30) | 1.96 (2.51) |
Values shown as mean (SD) except where indicated
Abbreviations: MDS-UPDRS: Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale
Longitudinal model selection
For all models of MDS-UPDRS scores (Parts I, II, III, and total), there was a statistically significant change over time for the expected values (p<0.0001). Graphically, the estimates of the continuous linear time longitudinal models aligned well with the estimates from the categorical time longitudinal models, with their standard error bars largely overlapping. Differences between the means estimated by the categorical time and continuous linear time longitudinal models were typically only a few percent of the estimated means. There was also qualitatively good agreement between the sample means and the predictions of both longitudinal models.
Quantitatively, the likelihood ratio goodness of fit tests found none of the linear continuous longitudinal models to be statistically significantly worse fits than their counterpart categorical time longitudinal models at univariate alpha=0.05, despite the former utilizing four fewer fixed effect parameters than the latter. The test for Part III was marginally non-significant (p = 0.085); p > 0.10 for all other scales. Post hoc testing with the BIC, which tends to favor simpler models compared with AIC, improved between 15.4–21.8 (3.8–5.5 per parameter) for the continuous linear longitudinal models compared with the categorical time longitudinal models. For all scales other than Part III, AIC favored the continuous linear time longitudinal models compared with the categorical time longitudinal models by 1.8–6.3 (0.46–1.6). For Part III scores, the AIC favored the categorical time longitudinal model compared to the continuous linear time longitudinal model by 0.18 (0.044 per parameter), a trivial difference. On the whole, these analyses supported approximating the time trend for progression of MDS-UPDRS scale scores with lines.
MDS-UPDRS progression
The continuous linear time longitudinal model predicted an expected annual increase of 3.99 points (95% CI: 3.58, 4.41) for the MDS-UPDRS total score (Figure 1). For MDS-UPDRS subscales, the model predicted an increase of 0.25 points/year (95%CI: 0.19, 0.31) for Part I; 0.99 points/year (95%CI: 0.86, 1.13) for Part II; and 2.40 points/year (95%CI: 0.210, 2.70) for Part III. The change in MDS-UPDRS total score was largely driven by the change in MDS-UPDRS Part III score, with the estimated slope for Part III accounting for 60% of the estimated slope for the total score.
Dopaminergic medication effects on MDS-UPDRS Part III progression
The continuous linear time longitudinal model predicted an expected annual increase of 1.77 points/year (95%CI: 1.35, 2.19) for MDS-UPDRS Part III for the medicated group. For the unmedicated group, Part III scores were predicted to increase by 4.02 points/year (95%CI: 2.95, 5.10). There was a statistically significant difference in the slopes for MDS-UPDRS Part III progression between the medicated and unmedicated groups, with an estimated difference of 2.25 points/year (95%CI: 1.11, 3.39). For the progression of both groups, there was no statistically significant deviation from linearity (medicated: p=0.80; unmedicated: p=0.33) (Figure 2).
Sample size estimation for disease-modifying therapy clinical trial
The mean MDS-UPDRS Part III change over one year for those PPMI participants who were not taking dopaminergic therapy at the 12-month follow-up visit (n=123) was 6.35 ± 6.6 points. For the participants who were taking dopaminergic therapy at the 12-month follow-up visit (n=195), the mean change in MDS-UPDRS Part III was 1.54 ± 9.0 points. As such, a significant change of less than 6.35 points at one year in a treated group might indicate disease modification for motor symptoms. The minimal clinically important change in MDS-UPDRS Part III, however, was recently defined as −3.3 points for detecting significant improvement and +4.6 points for detecting significant decline.14 Thus, detecting a mean change in MDS-UPDRS Part III in a treated group of around 4 points in a clinical trial could support that the investigated treatment is a clinically meaningful intervention. Based on these data, representative sample sizes for a hypothetical one-year placebo-controlled clinical trial were calculated and are presented in Table 2, using an alpha of 0.05.
Table 2.
Symptomatic change in treated group | Mean change in MDS-UPDRS Part III in treated group at 1 year* (treatment effect, % attenuation) | Sample Size Total (Per Group) |
---|---|---|
Slowing of progression | +4 (−2.35, 37%) | 480 (240) |
+2 (−4.35, 69%) | 142 (71) | |
Halting of progression | 0 (−6.35, 100%) | 68 (34) |
Reversal of progression | −2 (−8.35, 131%) | 40 (20) |
−4 (−10.35, 163%) | 28 (14) |
Based on assumptions of 90% power, mean progression of 6.35 (SD = 6.66) points on MDS-UPDRS Part III for the untreated (control) group as observed in PPMI participants who were not taking dopaminergic medication at 1 year, and a SD = 9.00 points on MDS-UPDRS Part III for the treated group as observed in PPMI participants who were taking dopaminergic medication at 1 year. Sample size allocated equally to the treatment and control groups and assumes data from all subjects are valid and usable.
DISCUSSION
In this study, we analyzed longitudinal data from the PPMI database to determine the progression of MDS-UDPRS scores in a large cohort of de novo PD participants followed for up to five years. The total MDS-UPDRS and MDS-UPDRS Parts I, II, and III scores each increased in a linear fashion, demonstrating a measured, yet continual, advancement of motor and non-motor symptoms in the early years after PD diagnosis. On average, the MDS-UPDRS total score increased by an estimated 4 points/year. While our findings are consistent with the more conservative estimates of yearly progression from previous studies that used the older UPDRS scale,8–10 the rate of progression found in the PPMI cohort was lower than that described in previous studies10,15 that used UPDRS scores from the DATATOP (Deprenyl and Tocopherol Anti-oxidative Therapy On Parkinsonism)16 and ELLDOPA (Earlier vs Later L-DOPA)17 cohorts. While both of these landmark studies and the current PPMI initiative enrolled newly diagnosed, initially untreated PD participants, it has been nearly 30 years since the DATATOP findings were originally published. It is possible that, over the past several decades, advances have been made in overall public health and wellness that are impacting symptom progression in PD, separate from dopaminergic therapies. Another possibility is that the revised MDS-UPDRS limits over-estimation of disability through more detailed instructions and itemized scores.
In contrast to our findings, one eight-year longitudinal study by Vu and colleagues found a non-linear mixed effects model for UPDRS scores was superior to a linear model.18 These differing results could stem from their inclusion of more advanced PD participants and the tendency of treated motor symptoms to trend toward a more stable state, or from differences between the UPDRS and MDS-UPDRS. Future evaluation of the PPMI cohort after more time has passed could help determine if symptom severity progression continues in a linear manner beyond the first five years after diagnosis. Furthermore, in support of our results, another recent study found a linear progression in MDS-UPDRS scores over time19. Gottipati and colleagues also used the PPMI cohort and utilized an Item Response Theory model to determine that a typical participant’s MDS-UPDRS total score increases linearly by one standard deviation (estimated at 13.1 points) in 50 months.19 This equates to a change of 3.12 points/year for MDS-UPDRS total score, which lies close to our estimation using alternate methodology.
In those PD participants who were taking dopaminergic medications (medicated group) by their 12-month visit, a slower, yet still linear, expected MDS-UPDRS Part III score progression of 1.8 points/year over 5 years was observed. Although the sample size was small, the PD participants who were not taking dopaminergic medications by their 36-month visit (unmedicated group) progressed at about 4 points/year on their MDS-UPDRS Part III over their first 3 years following enrollment in the PPMI study. This more rapid progression in the unmedicated group could support the hypothesis that early dopaminergic therapy leads to slower disease progression. Importantly, however, while the MDS-UPDRS III data included in this analysis were all taken in the OFF medication state, this state in the PPMI was only defined as more than 6 hours past the last dose of dopaminergic therapy. Therefore, the slower decline in the medicated group could simply stem from the use of dopaminergic medications with longer half-lives or the well-described long-duration response to levodopa.20
Delineation of the expected change in MDS-UPDRS Part III scores is vital in estimating effect sizes for future disease-modification treatment trials, as this has increasingly become the motor outcome measure of choice in clinical trials. Using the PPMI database and separating PD participants who were taking dopaminergic medication at 12 months from those who remained untreated, we have calculated the sample sizes required to detect potential disease modification. Given an observed MDS-UPDRS Part III progression of around 6 points over one year in the untreated PPMI cohort, and assuming a minimal clinically important difference in this scale of approximately 4 points,14 a mean change in MDS-UPDRS Part III score of +2 points at one year in a treated group could indicate that treatment lead to a clinically meaningful slowing of disease progression. The sample size needed to accomplish this with 90% power would be 142 (71 per group). This information could be helpful in the design of future clinical trials aimed at slowing, or even reversing, the disease course in PD.
Strengths of our study include the large number of participants, with 362 de novo PD participants with longitudinal data available for inclusion. Our findings are also likely generalizable to the larger PD population, given the relatively limited exclusion criteria of the PPMI study. By tracking the progression of early, initially untreated PD, and including only Part III scores in the OFF medication state, potential confounding from medication effects at baseline assessments has been reduced. Nevertheless, a potential limitation of our study is that over 90% of participants were taking dopaminergic medications by the 36-month visit. We attempted to address this limitation by performing additional analyses on separate medicated and unmedicated groups. Another limitation to our study is that our results are not directly applicable to any one individual patient, as we did not perform additional subgroup analyses based on baseline characteristics, such as age, sex, sidedness of predominant symptoms, etc. Regardless, our group-level analyses and medicated cohort sub-analysis can be used to estimate symptom progression at the population level.
In conclusion, our findings demonstrate the expected progression of MDS-UPDRS total and subscale scores over a five-year period in de novo PD. Continuing work to define expected symptom progression with this increasingly utilized and validated scale could assist in the interpretation of MDS-UPDRS scores for individual patients, as well as serve counseling and prognostication purposes.
Acknowledgments
Funding sources: None.
We thank PPMI, a public-private partnership, which is funded by the Michael J. Fox Foundation for Parkinson’s Research and funding partners, including Abbvie, Avid Radiopharmaceuticals, Biogen, Bristol-Myers Squibb, Covance, GE Healthcare, Genentech, GlaxoSmithKline, Lilly, Lundbeck, Merck, Meso Scale Discovery, Pfizer, Piramal, Roche, Servier and UCB.
Footnotes
Authors’ Roles
S.K.H: Project organization and execution; statistical analysis design; writing of the first draft; and manuscript review and critique.
T.F.: Project organization and execution; writing of the first draft; and manuscript review and critique.
S.H.S.: Statistical analysis design and execution; and manuscript review and critique.
B.D.B: Project conception, design, organization, and execution; statistical analysis design; manuscript writing, reviewing and critique.
Ethical Compliance Statement
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.
Financial Disclosure/Conflict of Interest: S.K.H. has received research grant support from the Michael J. Fox Foundation for Parkinson’s Research. B.D.B. has received research grant support from the NIH (NIH/NCATS Colorado CTSI Grant Number KL2 TR001080), Dystonia Coalition (receives the majority of its support through NIH grant NS065701 from the Office of Rare Diseases Research in the National Center for Advancing Translational Science and National Institute of Neurological Disorders and Stroke), Dana Foundation, and the Benign Essential Blepharospasm Research Foundation.
Financial Disclosures of all authors (for the preceding 12 months)
S.K.H. has received research grant support from the Michael J. Fox Foundation for Parkinson’s Research.
T.F.: None.
S.H.S.: None.
B.D.B. has received research grant support from the NIH (NIH/NCATS Colorado CTSI Grant Number KL2 TR001080), Dystonia Coalition (receives the majority of its support through NIH grant NS065701 from the Office of Rare Diseases Research in the National Center for Advancing Translational Science and National Institute of Neurological Disorders and Stroke), Dana Foundation, and the Benign Essential Blepharospasm Research Foundation.
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