The American Psychiatric Association (APA) has updated its Privacy Policy and Terms of Use, including with new information specifically addressed to individuals in the European Economic Area. As described in the Privacy Policy and Terms of Use, this website utilizes cookies, including for the purpose of offering an optimal online experience and services tailored to your preferences.

Please read the entire Privacy Policy and Terms of Use. By closing this message, browsing this website, continuing the navigation, or otherwise continuing to use the APA's websites, you confirm that you understand and accept the terms of the Privacy Policy and Terms of Use, including the utilization of cookies.

×

Abstract

Objective:

Recent research shows that patients with multiple system atrophy (MSA) have significant cognitive and neuropsychiatric comorbidities that can color the clinical presentation of the disease and affect their quality of life. The aims of this study were to determine the neuropsychiatric profile in a cohort of patients with the parkinsonian type of MSA (MSA-P) and their dynamic changes over a 1-year follow-up period and to compare rates of neuropsychiatric symptoms (NPSs) reported by caregivers and the patients themselves.

Methods:

Forty-seven patients were assessed at baseline; of these, 25 were assessed again after 1 year. NPS assessment tools included the Neuropsychiatric Inventory (NPI), the Beck Depression Inventory, the Hamilton Depression Rating Scale, the Hamilton Anxiety Rating Scale, and the Apathy Evaluation Scale.

Results:

The prevalence of NPSs in patients with MSA-P was very high, with depression, sleep disturbances, apathy, and anxiety being the most frequently occurring features. The evolution of NPSs was found to be independent of motor, autonomic, and cognitive symptoms. None of the scales measuring NPSs, including the NPI, were capable of detecting changes over the 1-year follow-up period. Although the overall prevalence of depression, apathy, and anxiety obtained from caregivers and the patients themselves was similar, reports from these two sources cannot be considered interchangeable.

Conclusions:

The progression of neuropsychiatric symptoms was not a subject of rapid change in MSA-P, in contrast to the observed motor, autonomic, and cognitive deterioration. These findings suggest the need to investigate the utility of available instruments in capturing the evolution of NPSs in MSA over time.

Multiple system atrophy (MSA) is a rare and rapidly progressive adult-onset sporadic neurodegenerative disorder of unknown cause, which leads to severe motor disability within a few years (1). Clinical features include a variable combination of autonomic dysfunction, levodopa-resistant parkinsonism, cerebellar ataxia, and pyramidal signs. Clinical subtypes of MSA include MSA with predominance of parkinsonian (MSA-P) and MSA with predominance of cerebellar symptoms (MSA-C) (2).

Because of marked motor and autonomic abnormalities, the cognitive, behavioral, and neuropsychiatric symptoms (NPSs) in MSA were not the main clinical focus for many years. MSA was initially assessed in small series of patients and mainly identified by bedside impression. However, with the introduction of validated questionnaires and tests, it became clear that NPSs such as depression, anxiety, and apathy commonly coexisted within the MSA phenotype (3), with marked effects on quality of life and disability (4, 5). Moreover, the presence of depression in MSA appears to be independent of the severity of motor impairment, suggesting that it may be a part of the clinical spectrum of the disease rather than secondary to the severity of motor dysfunction (6).

Therefore, the aims of this study were to determine the pattern of NPSs in our cohort of patients with MSA-P; to longitudinally follow up these patients over a 1-year period; to establish the possible relationship of the pattern of NPSs with motor, autonomic, and cognitive symptoms; and to compare rates of NPSs reported by caregivers and those reported by the patients themselves.

Methods

Participants

In this prospective cohort study conducted in tertiary hospital settings, we initially recruited 47 consecutive patients who had been clinically diagnosed as having probable MSA-P (2) and were able to comply with the requirements of the study (Table 1). A specific requirement was that participants’ caregivers agreed to participate in the study as well. Patients with a previous or current history of other neurological, psychiatric, and major medical disorders, as well as those with a history of substance abuse or neuroleptic therapy, were excluded from the study.

TABLE 1. Demographic and clinical characteristics of patients with multiple system atrophya

Baseline cohort (N=47)1-Year follow-up cohort (N=25)
CharacteristicMeanSDRangeMeanSDRange
Age (years)57.77.340–7258.47.540–72
Education (years)11.13.24–1611.43.44–16
Duration of the disease (years)3.31.71–83.51.81–8
Age at onset of the disease (years)54.47.535–6954.87.935–69
Hoehn and Yahr stage (median)32–532–5
UMSARS
 Part I23.18.69–3922.88.59–38
 Part II24.87.410–4324.97.810–43
 Total (parts I and II)47.915.220–7547.815.520–75
 Part IV3.30.82–53.20.82–5
SCOPA-AUT total24.78.38–4622.78.08–46
MMSE27.32.319–3027.72.123–30
FAB total14.52.59–1814.82.19–18
DRS
 Total127.58.4107–141131.15.6117–141
 Attention33.2.625–3634.22.525–36
 Initiation/Perseveration32.22.228–3733.32.029–37
 Construction4.91.03–65.30.83–6
 Conceptualization34.32.927–3935.12.330–39
 Memory22.71.718–2523.21.320–25
HAM-A11.36.12–2411.06.32–24
HAM-D15.68.61–3616.19.01–33
BDI18.09.42–3817.38.42–31
AS16.78.54–4019.09.15–40

aThe female:male ratio was 29:18 in baseline cohort and 15:10 in follow-up cohort. AS=Apathy Evaluation Scale, BDI=Beck Depression Inventory, DRS=Mattis Dementia Rating Scale, FAB= Frontal Assessment Battery, HAM-A=Hamilton Anxiety Rating Scale, HAM-D=Hamilton Depression Rating Scale, MMSE=Mini-Mental State Examination, SCOPA-AUT=Scales for Outcomes in Parkinson Disease-Autonomic, UMSARS=Unified Multiple System Atrophy Rating Scale.

TABLE 1. Demographic and clinical characteristics of patients with multiple system atrophya

Enlarge table

The study was approved by the ethics committee of the Faculty of Medicine at the University of Belgrade, and written informed consent was obtained from each patient.

At the study entry (baseline), a detailed demographic and clinical interview was performed. Age at onset was defined as the age of the first appearance of symptoms attributable to MSA-P according to medical history and charts, supported by an interview with the patient and caregiver. Staging of MSA-P was obtained using the Hoehn and Yahr staging system (7). Patients’ disability was assessed with the Unified Multiple System Atrophy Rating Scale (UMSARS) (8). The UMSARS is divided into four parts: part I (activities of daily living), part II (motor examination), part III (autonomic examination), and part IV (global disability). A summary score can be calculated for parts I, II, and IV. The total UMSARS score represents the sum of part I and part II scores. Higher scores on the UMSARS represent greater disease severity. The presence and frequency of autonomic symptoms in patients with MSA-P were evaluated with a self-administered scale, the Scales for Outcomes in Parkinson Disease-Autonomic (SCOPA-AUT) (9), with the highest score being 69 (higher scores indicate more severe autonomic dysfunction).

The Mini-Mental State Examination (MMSE) (10) was used as a rough screening tool for the presence of cognitive dysfunction, which was further evaluated with the Frontal Assessment Battery (FAB) (11), as well as the Mattis Dementia Rating Scale (DRS), comprising five subdomains as presented in Table 1 (12).

The presence of psychiatric symptoms was assessed using the Neuropsychiatric Inventory (NPI) (13), which was based on the interview with the main caregivers: 31 spouses, 12 children, and four siblings. The NPI estimates the frequency (4-point scale) and severity (3-point scale) of 12 neuropsychiatric disturbances (delusions, hallucinations, agitation, depression, anxiety, euphoria, apathy, disinhibition, irritability, aberrant motor behavior, sleep, and appetite/eating), and a score from 0 to 12 was obtained for each scale by multiplying frequency by severity. The composite score was used in the analysis. The total score on the NPI is the sum of the subscale scores (ranging from 0 to 144; higher total scores indicate more severe symptoms). The total NPI distress score was also calculated.

In addition, symptoms of depression and anxiety, as well as apathy, were evaluated by instruments based on patients’ assessment: the Beck Depression Inventory (BDI-II) (14), the Hamilton Depression Rating Scale (HAM-D) (15), the Hamilton Anxiety Rating Scale (HAM-A) (16), and the Apathy Evaluation Scale (AS) (17), respectively. Appropriate cut-off scores for each scale were used, as previously described (BDI-II score ≥14, HAM-D score ≥8, HAM-A score ≥13, and AS score ≥14) (14, 1720).

Twenty-five patients with MSA-P from the initial cohort were subsequently followed up in 1 year (mean follow-up=366 days; range, 343–403 days); the same tests used at the baseline visit were used at the follow-up visit. Reasons for dropout were as follows: four patients died, seven declined follow-up assessment due to the severity of MSA, seven caregivers who were present at the baseline visit were not accessible at the follow-up visit in order to perform the neuropsychiatric interview, and four withdrew consent or were lost to follow-up.

Statistical Analysis

Because NPI scale scores were not distributed normally, the Mann-Whitney U test was used for comparison between groups in terms of age (≥60 years compared with <60 years), disease duration (≤3 years compared with >3 years), motor severity (UMSARS total score ≥40 compared with <40), frontal lobe dysfunction (FAB total score ≤14 compared with >14), and global cognitive impairment (DRS total score ≤125 compared with >125). The dichotomy of the groups was based on previously described cut-off scores (21, 22). Chi-square test and Fisher’s exact test were used to compare the categorical variables where appropriate.

To determine the disease-related factors associated with the increased NPI total score, multiple linear regression analysis was performed. The model was adjusted for age, sex, education, and disease duration as potential confounding variables. After removing baseline variables resulting from multicollinearity, the following independent variables were added to the model: MMSE score, FAB total score, DRS total score, UMSARS part I score, UMSARS part II score, UMSARS part IV score, and SCOPA-AUT total score.

The value of changes of selected motor, autonomic, cognitive, and neuropsychiatric variables between the baseline visit and the 1-year follow-up visit was quantified using the Wilcoxon signed-rank test. The level of these differences was calculated as an effect ([mean follow up−mean baseline]/pooled SD), with 95% confidence intervals. According to Cohen’s thresholds, effect sizes were categorized as follows: trivial (0–0.19), small (0.20–0.49), medium (0.50–0.79), and large (≥0.80) effects (23). Backward stepwise linear regression analyses were used to examine how the changes of different clinical variables over the 1-year follow-up period (changes in UMSARS parts I, II, and IV, SCOPA total, MMSE, FAB total, DRS total, together with gender, education, age, duration of disease, as independent variables) contributed to the change of the NPI total score over the follow-up period (dependent variable).

The SPSS 23.0 statistical software package (SPSS, Chicago) was used in the statistical analysis.

Results

Neuropsychiatric Inventory Scores

In a cross-sectional analysis of 47 MSA-P patients (Table 1), at least one NPS was present (NPI score >0) in 94% of investigated patients (Table 2). The most prevalent symptoms were depression, changes in sleep/nighttime behaviors, apathy, and anxiety (92%, 85%, 78%, and 76%, respectively). In order to avoid clinically irrelevant NPI scores, a separate analysis involved only those patients with a score ≥4 on at least one of the NPI items; again, depression and sleep disturbances were the most common, occurring in approximately two-thirds of patients, while apathy and anxiety rates decreased to 43% and 53%, respectively. The average severity score was also highest in the same NPI domains.

TABLE 2. Prevalence rate (%) and mean subscores of Neuropsychiatric Inventory items among all patients with multiple system atrophy and patients with symptoms present (nonzero score) (baseline cohort)

All patientsPatients with symptoms present (nonzero score)Patients with scores ≥4
SymptomMeanSDMeanSDN%N%
Delusions0.191.311212
Hallucinations0.310.751.500.97102112
Agitation0.511.152.001.53122524
Depression4.923.915.373.7743922860
Anxiety3.132.684.082.3236762553
Euphoria0.020.151200
Apathy3.043.143.873.0637782043
Disinhibition0.552.226.504.934936
Irritability0.571.922.522.182145817
Aberrant motor behavior0.110.381.250.504900
Neuropsychiatric Inventory
 Sleep4.213.344.953.0740853166
 Appetite/eating1.382.464.332.5015321226
 Total19.2814.3920.5913.924494
 Distress total score8.455.479.025.174494

TABLE 2. Prevalence rate (%) and mean subscores of Neuropsychiatric Inventory items among all patients with multiple system atrophy and patients with symptoms present (nonzero score) (baseline cohort)

Enlarge table

The individual symptom in the agitation subsyndrome with the highest prevalence rate was irritability (45%), followed by agitation (25%) and disinhibition and aberrant motor behavior (9% each). Hallucinations were recorded for 21% of patients, but only 2% had a clinically relevant score. Other psychotic symptoms were infrequent. Although the change of appetite/eating domain was not as commonly reported, when it occurred, the severity of such symptoms was scored as clinically relevant.

Severity and Frequency of NPSs in Terms of Age, Disease Duration, Motor Severity, and Frontal and Global Cognition Status

Results of the severity and frequency of NPSs are summarized in Table 3. Disinhibition behavior was observed only in elderly patients (≥60 years old), but only three out of 15 patients had clinically relevant symptoms. Apathy and changes in appetite/eating were more profound in patients with a longer disease duration (>3 years). Patients with more severe motor symptoms expressed more agitation, depression, and apathy and generally showed higher NPI total scores and higher NPI distress scores. In terms of frontal and global cognition status, no differences were found in neuropsychiatric profile, except that patients with global cognitive decline (DRS score ≤125) were found to have fewer anxiety symptoms (Table 3).

TABLE 3. Severity and frequency of neuropsychiatric symptoms in terms of age, disease duration, motor severity, and frontal and global cognition status in patients with multiple system atrophy (baseline cohort)a

Age (years)Disease duration (years)UMSARS total scoreFAB total scoreDRS total score
NPI domain<60≥60≤3>3<40≥40≤14>14≤125>125
Delusions
 Mean0.000.600.000.430.000.270.500.000.600.00
 SD0.002.320.001.960.001.572.120.002.320.00
 Patients with scores 0–332142620143217291431
 Patients with scores ≥40101011010
Hallucinations
 Mean0.340.270.270.380.290.330.440.240.600.19
 SD0.830.590.830.671.070.601.040.511.120.48
 Patients with scores 0–331142520133217281430
 Patients with scores ≥41111111111
Agitation
 Mean0.310.930.310.760.000.730.720.380.470.55
 SD0.641.790.681.550.001.331.670.671.061.23
 Patients with scores 0–332132619143116291430
 Patients with scores ≥40202022011
Depression
 Mean4.755.274.355.623.075.705.064.835.274.90
 SD3.654.543.514.343.633.814.633.484.733.49
 Patients with scores 0–3136127910910612
 Patients with scores ≥41991414523919919
Anxiety
 Mean3.382.603.772.333.003.182.563.481.873.77
 SD2.862.232.922.153.162.492.602.711.852.85
 Patients with scores 0–315711118141111912
 Patients with scores ≥41781510619718619
Euphoria
 Mean0.000.070.040.000.000.030.000.030.070.00
 SD0.000.260.100.000.000.170.000.190.260.00
 Patients with scores 0–332152621143318291531
 Patients with scores ≥40000000000
Apathy
 Mean3.033.072.194.101.363.763.113.003.402.97
 SD3.060.262.503.581.553.382.973.303.812.82
 Patients with scores 0–31981891116918818
 Patients with scores ≥4137812317911713
Disinhibition
 Mean0.001.730.500.620.000.790.720.450.330.68
 SD0.003.752.352.110.002.632.272.231.052.65
 Patients with scores 0–332122519143016281429
 Patients with scores ≥40312032112
Irritability
 Mean1.001.401.270.951.071.151.221.070.871.26
 SD1.412.752.131.661.392.121.901.961.772.03
 Patients with scores 0–327132119122815251425
 Patients with scores ≥45252253416
Aberrant motor behavior
 Mean0.130.070.080.270.000.150.110.100.200.06
 SD0.420.260.140.480.000.040.320.410.560.25
 Patients with scores 0–332152621143318291531
 Patients with scores ≥40000000000
NPI sleep
 Mean4.503.604.234.193.714.424.943.763.534.65
 SD2.924.173.623.063.173.444.432.433.503.26
 Patients with scores 0–38811561061069
 Patients with scores ≥424715168231219922
NPI appetite/eating
 Mean1.441.270.882.001.141.481.501.311.001.61
 SD2.652.092.662.103.302.063.191.951.652.80
 Patients with scores 0–324112312122314211222
 Patients with scores ≥484392104839
NPI total score
 Mean12.8115.9312.6915.198.7915.9414.5013.3813.4714.32
 SD7.9416.289.6712.956.6612.1013.859.4313.4410.18
 Mild (0–20)24112015132211241024
 Moderate (20–40)84661117557
NPI distress total
 Mean8.288.807.779.295.369.768.338.528.278.74
 SD4.697.034.766.263.415.696.145.136.145.18

aThe distribution of patients with clinically relevant score (≥4) and clinically irrelevant score (0–3) across the groups, are presented as absolute numbers. Bold denotes clinically significant differences (chi-square test or Fisher’s exact test or Mann-Whitney U test, p<0.05). DRS=Dementia Rating Scale, FAB=Frontal Assessment Battery, NPI=Neuropsychiatric Inventory, UMSARS=Unified Multiple System Atrophy Rating Scale.

TABLE 3. Severity and frequency of neuropsychiatric symptoms in terms of age, disease duration, motor severity, and frontal and global cognition status in patients with multiple system atrophy (baseline cohort)a

Enlarge table

Disease-Related Factors Associated With NPI Total Score

In multiple regression analysis (Table 4), the baseline independent variables that we identified as significant in predicting increasing NPI total scores were the MMSE score and the UMSARS part IV score (Table 4). No association was found between NPSs on one hand and autonomic and cognitive scales measuring global and frontal cognitive decline on the other.

TABLE 4. Predictors of increased Neuropsychiatric Inventory total score in 47 patients with multiple system atrophy (baseline cohort)a

Multivariate regression analysis
VariablesβSEp
UMSARS, part IV6.6443.1690.044
MMSE–2.1400.7440.010

aBold values denote statistical significance. Neuropsychiatric Inventory total score was the dependent variable. MMSE=Mini-Mental State Examination, UMSARS=Unified Multiple System Atrophy Rating Scale.

TABLE 4. Predictors of increased Neuropsychiatric Inventory total score in 47 patients with multiple system atrophy (baseline cohort)a

Enlarge table

Measuring Depression, Apathy, and Anxiety by NPI Compared With Psychiatric Tools Based on Patient Assessment

The overall proportions for symptoms of depression, apathy, and anxiety based on caregiver reports (NPI) on the one hand and patients’ reports on other hand (HAM-D, BDI-II, HAM-A, AS) differed significantly.

Twenty-eight patients had clinically relevant NPI depression scores, and all of these were also assigned as having depression based on their HAM-D cut-off score. Seven patients were classified as nondepressed as assessed with the NPI, but they had verified mild depression as assessed with the HAM-D (prevalence based on the NPI versus prevalence based on the HAM-D: Fisher’s exact test, p<0.001). The BDI-II registered depression in 26 out of 28 patients, while six patients who had clinically irrelevant scores on the NPI were considered to have mild depression on the BDI-II (prevalence based on the NPI versus prevalence based on the BDI-II: Fisher’s exact test, p<0.001).

The NPI apathy score was marked as clinically relevant in 20 patients, while the AS confirmed this finding in only 16 of these patients. Eleven patients who had no apathy based on the NPI had scores on the AS above the proposed cut-off (prevalence based on the NPI versus prevalence based on the AS: Fisher’s exact test, p=0.009).

Twenty-five patients who had a clinically relevant NPI anxiety score were also identified as having anxiety based on the HAM-A cut-off score. Three patients were identified as having a mild degree of anxiety on the HAM-A but did not reach a clinically relevant score on the NPI anxiety domain (prevalence based on the NPI versus prevalence based on the HAM-A; Fisher’s exact test, p<0.001).

Evolution of Clinical Variables Over 1-Year Follow-Up

The baseline characteristics of 25 patients with MSA-P who were subsequently followed up at 1 year are presented in Table 1. We found no differences in age, age at onset, sex, education, disease duration, or severity of illness as assessed using the Hoehn and Yahr stage and UMSARS parts I, II, and IV between patients who completed the follow-up (N=25) and those who dropped out of the study (N=22) (t test, Mann-Whitney U test, chi-square test, p>0.05).

Estimation of changes in clinical, motor, cognitive, and neuropsychiatric variables in 25 MSA-P patients followed for 1 year (Table 5) revealed the large effect size (effect size >0.80) in motor (the UMSARS subscales, UPDRS total score, and Hoehn and Yahr stage), autonomic (SCOPA-AUT), and cognitive (DRS) domains. The NPI total score did not show significant change over the 1-year follow up. Additionally, none of the 12 NPI composite scores changed (Wilcoxon signed-rank test, p>0.05).

TABLE 5. Mean scores for different motor, neuropsychiatric, and cognitive measures at baseline and after the 1-year follow-up, with effect sizes in 25 patients with multiple system atrophya

BaselineFollow-up visit
VariableMeanSDMeanSDEffect size95% CI
Hoehn and Yahr stage3.31.03.80.80.82**0.41, 1.23
UMSARS
 Part I22.88.528.59.51.07**0.67, 1.49
 Part II24.97.828.87.60.97**0.56, 1.38
 Part IV3.20.83.80.71.00**0.60, 1.40
SCOPA-AUT total22.78.031.79.21.600.94, 2.26
MMSE27.72.127.41.6–0.20–0.62, –0.22
FAB total14.82.115.53.2–0.12–0.54, 0.30
DRS
 Total131.15.6126.98.0–0.70**–1.14, –0.27
 Attention34.22.633.32.4–0.57**–1.01, –0.13
 Initiation/Perseveration33.22.332.32.8–0.31–0.73, 0.12
 Construction4.11.62.61.8–0.49*–0.91, –0.07
 Conceptualization35.02.434.02.8–0.32–0.75, 0.11
 Memory23.81.422.32.4–0.49*–0.91, –0.06
NPI total score18.911.519.513.90.06–0.52, 0.26
HAM-A11.06.312.04.30.21–0.20, 0.62
HAM-D16.19.017.17.80.17–0.24, 0.58
BDI17.38.418.78.30.28–0.13, 0.69
AS18.99.218.89.6–0.01–0.43, 0.40

aNegative effect size values represent decline in that measure. BDI=Beck Depression Inventory, DRS=Dementia Rating Scale, FAB=Frontal Assessment Battery, HAM-A=Hamilton Anxiety Rating Scale, HAM-D=Hamilton Depression Rating Scale, MMSE=Mini-Mental State Examination, SCOPA-AUT=Scales for Outcomes in Parkinson Disease-Autonomic, UMSARS=Unified Multiple System Atrophy Rating Scale.

*p<0.05, **p<0.01 (Wilcoxon signed ranks test).

TABLE 5. Mean scores for different motor, neuropsychiatric, and cognitive measures at baseline and after the 1-year follow-up, with effect sizes in 25 patients with multiple system atrophya

Enlarge table

None of the additional neuropsychiatric measures (HAM-A, HAM-D, BDI-II, AS) showed significant changes in their mean scores over the follow-up period (Table 5). In addition, the overall prevalence of patients who were assigned as having depression, apathy, or anxiety based on cut-off scores on the HAM-D, BDI-II, HAM-A, and AS were not changed from baseline in the follow-up visit (chi-square test or Fisher’s exact test, p>0.05).

In the final model of regression analysis applied to longitudinal data, after elimination of the nonsignificant variables during the backward stepwise process, the only independent predictor of change of the NPI total score over the 1-year follow-up period was disease duration (unstandardized beta coefficient=2.688, SE=1.116, p=0.025).

Discussion

The main findings of this study were that the prevalence of NPSs in patients with MSA-P was very high (at least some level of NPS expression was present in 94% of patients), with depression, sleep disturbances, apathy, and anxiety being the most frequently occurring features; that the evolution of NPSs was found to be independent of motor, autonomic, and cognitive symptoms; that none of the scales measuring NPSs, including the NPI, were capable of detecting changes over the 1-year follow-up period; and that although the overall prevalence of depression, apathy, and anxiety obtained from caregivers and the patients themselves was similar, reports from these two sources cannot be considered interchangeable.

The general pattern observed by the NPI in our cohort of patients with MSA-P was comparable to that of previous studies, which also underscored depression as the key and most consistent neuropsychiatric feature of MSA (6, 24). However, direct comparison is difficult, because these studies used different methodological approaches, including different instruments for the assessment of NPSs.

The prevalence of a clinically relevant rate of depression of approximately 60% as measured with the NPI was in accordance with the data reported in previous studies with larger numbers of MSA patients (5, 2429). The proportion of patients with depression as measured by the HAM-D and BDI-II was higher (74% and 68%, respectively) compared with the proportion reported through a caregiver assessment. MSA-P patients themselves appeared to report more NPSs than their caregivers, which is consistent with a previous finding in a study of patients with Parkinson’s disease (30).

However, we found a higher rate of anxiety in caregivers’ reports (53% of patients had a clinically relevant score on the NPI anxiety scale) compared with patient reports (47% of patients had scores above the cut-off on the HAM-A). These estimates were higher than those reported in previous studies (25, 27, 29, 31), while the rate of apathy was similar to that reported in previous studies (24, 29, 32). Interestingly, apathy was a symptom primarily observed by caregivers (the rate of apathy was remarkably different between caregiver and patient reports; 57% and 42%, respectively), suggesting that poor insight into the symptoms may be an integral part of apathy expression (33).

Similar to previous studies, changes in personality with a clinically relevant irritability score were observed in 17% of patients in our study (25, 29). Hallucinations were reported for 21% of patients in the cohort, but only 2% of patients with MSA-P had clinically relevant scores. This is consistent with including hallucinations on the list of nonsupportive features as defined by current diagnostic criteria (2). Agitation, disinhibition, and aberrant motor behavior were not frequently occurring and if present did not reach the clinically relevant score, as observed in another study that used the NPI as a diagnostic tool (29).

Another important issue was our investigation of the possible association between NPSs and motor, autonomic, and cognitive symptoms in MSA-P. In our results, the severity of motor impairment, assessed with the UMSARS part IV, was found to be the strongest independent predictor of the higher NPI total score among patients with MSA-P. For each increase of one point on the UMSARS part IV, which actually reflects the transition to the next stage of global disability, there is an increase of 6.644 in the NPI total score. Similarly, Cao et al. (22) reported that higher scores on the Frontal Behavioral Inventory were associated with increased severity of disease, as assessed with the UMSARS. Patients with a higher burden of motor symptoms and longer disease duration expressed more severe depression and apathy. In addition, lower scores on the MMSE, which is considered a rough screening tool for cognitive decline, have also been identified as an independent predictor of an increase in the overall NPI score. However, the association of NPI scores with scores on the DRS and FAB, which are detailed and specific scales measuring global and frontal cognitive status, has not been confirmed. Therefore, based on these facts, we still cannot argue about the potential association of cognitive decline with the higher rate and severity of NPSs in MSA.

Although significant deteriorations of motor, autonomic, and cognitive symptoms in our longitudinal cohort were captured by the appropriate scales over the 1-year follow-up period, this was not the case with NPSs. None of the scales measuring NPSs, including the NPI, were able to detect changes in MSA-P patients over the follow-up period. Furthermore, the overall prevalence of depression, apathy, and anxiety did not change significantly over the 1-year follow-up. Thus, one may conclude that the evolution of NPSs does not follow the progression of motor, autonomic, and cognitive problems in MSA-P, suggesting that depression and other NPSs are an integral part of the clinical spectrum of the disease rather than secondary due to the severity of motor dysfunction (6). Interestingly, behavioral and mood disturbances in neurodegenerative disorders do not necessarily progress uniformly over time (34). For example, in MSA, as well as in Parkinson’s disease and progressive supranuclear palsy, apathy and depression showed a different pattern of deterioration over time: apathy showed linear worsening over time, while depression seemed to remain consistent or followed a fluctuating course (24, 35, 36). Therefore, heterogeneity of presentation and inconsistency in the progression of NPSs may represent a particular challenge in longitudinal studies, including the selection of appropriate scales.

In addition to the relatively small number of pathologically unproven MSA-P patients, among the limitations of our study was the fact that the most common NPSs, such as depression, apathy, and anxiety, were not diagnosed according to clinically validated criteria. Furthermore, the dropout rate of more than 47% in our longitudinal study, together with the constraints of a small sample size, may have biased our results and affected the analytic approach. However, no differences between the patients who were followed and those who dropped out were found in the baseline demographic variables and severity of motor symptoms, which made us more confident in drawing conclusions.

Conclusions

This study is one of few longitudinal studies on MSA-P, which provides some new insights into the profile and dynamic changes of NPSs. Our data suggest that NPSs are a common part of the clinical spectrum of MSA symptoms. Progression of these symptoms was independent of motor, autonomic, and cognitive deterioration and was relatively consistent over time, in line with a recent report (24). The caregiver and self-reports of NPSs in MSA differed significantly, which should be kept in mind when selecting scales for the assessment of NPSs, as well as when comparing the results of different studies. Finally, our results suggest the need to investigate the utility of available instruments in capturing the evolution of NPSs in MSA-P over time.

Clinic of Neurology, School of Medicine, University of Belgrade, Serbia (Jecmenica-Lukic, Petrovic, Pekmezovic, Tomic, Stankovic, Svetel, Kostic); and Institute of Epidemiology, School of Medicine, University of Belgrade, Serbia (Pekmezovic).
Send correspondence to Dr. Kostic ().

Supported by the Ministry of Education, Science and Technological Development, Republic of Serbia (project number 175090).

Dr. Jecmenica-Lukic has received speaker’s honoraria from Actavis and a travel grant from Krka Pharma. Dr. Petrovic has received speaker’s honoraria from Actavis and Salveo and a travel grant from Salveo. Dr. Pekmezovic has received research grant support from the Ministry of Education, Science, and Technological Development of the Republic of Serbia (project number 175087 and 175090). Dr. Tomic has received honoraria for serving as a consultant to and on the advisory board of Univar BV. Dr Svetel has received a travel grant from Salveo. Dr. Kostic has received lecture honoraria from Alkaloid, GlaxoSmithKline, Novartis, Roche, and Solway Pharmaceutical. The other authors report no financial relationships with commercial interests.

References

1 Fanciulli A , Wenning GK : Multiple-system atrophy . N Engl J Med 2015 ; 372 : 249 – 263 Crossref, MedlineGoogle Scholar

2 Gilman S , Wenning GK , Low PA , et al. : Second consensus statement on the diagnosis of multiple system atrophy . Neurology 2008 ; 71 : 670 – 676 Crossref, MedlineGoogle Scholar

3 Stankovic I , Krismer F , Jesic A , et al. : Cognitive impairment in multiple system atrophy: a position statement by the Neuropsychology Task Force of the MDS Multiple System Atrophy (MODIMSA) study group . Mov Disord 2014 ; 29 : 857 – 867 Crossref, MedlineGoogle Scholar

4 Winter Y , Spottke AE , Stamelou M , et al. : Health-related quality of life in multiple system atrophy and progressive supranuclear palsy . Neurodegener Dis 2011 ; 8 : 438 – 446 Crossref, MedlineGoogle Scholar

5 Benrud-Larson LM , Sandroni P , Schrag A , et al. : Depressive symptoms and life satisfaction in patients with multiple system atrophy . Mov Disord 2005 ; 20 : 951 – 957 Crossref, MedlineGoogle Scholar

6 Belvisi D , Berardelli I , Suppa A , et al. : Neuropsychiatric disturbances in atypical parkinsonian disorders . Neuropsychiatr Dis Treat 2018 ; 14 : 2643 – 2656 Crossref, MedlineGoogle Scholar

7 Hoehn MM , Yahr MD : Parkinsonism: onset, progression and mortality . Neurology 1967 ; 17 : 427 – 442 Crossref, MedlineGoogle Scholar

8 Wenning GK , Tison F , Seppi K , et al. : Development and validation of the Unified Multiple System Atrophy Rating Scale (UMSARS) . Mov Disord 2004 ; 19 : 1391 – 1402 Crossref, MedlineGoogle Scholar

9 Visser M , Marinus J , Stiggelbout AM , et al. : Assessment of autonomic dysfunction in Parkinson’s disease: the SCOPA-AUT . Mov Disord 2004 ; 19 : 1306 – 1312 Crossref, MedlineGoogle Scholar

10 Folstein MF , Folstein SE , McHugh PR : “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician . J Psychiatr Res 1975 ; 12 : 189 – 198 Crossref, MedlineGoogle Scholar

11 Dubois B , Slachevsky A , Litvan I , et al. : The FAB: a Frontal Assessment Battery at bedside . Neurology 2000 ; 55 : 1621 – 1626 Crossref, MedlineGoogle Scholar

12 Mattis S : Dementia Rating Scale: Professional Manual . Odessa, Fla , Psychological Assessment Resources , 1988 Google Scholar

13 Cummings JL , Mega M , Gray K , et al. : The Neuropsychiatric Inventory: comprehensive assessment of psychopathology in dementia . Neurology 1994 ; 44 : 2308 – 2314 Crossref, MedlineGoogle Scholar

14 Beck A , Steer R , Brown G : Beck Depression Inventory-II . San Antonio, Tex , Pearson , 1996 Google Scholar

15 Hamilton MC : A rating scale for depression . J Neurol Neurosurg Psychiatry 1960 ; 23 : 56 – 62 Crossref, MedlineGoogle Scholar

16 Hamilton M : The assessment of anxiety states by rating . Br J Med Psychol 1959 ; 32 : 50 – 55 Crossref, MedlineGoogle Scholar

17 Starkstein SE , Mayberg HS , Preziosi TJ , et al. : Reliability, validity, and clinical correlates of apathy in Parkinson’s disease . J Neuropsychiatry Clin Neurosci 1992 ; 4 : 134 – 139 LinkGoogle Scholar

18 Zimmerman M , Martinez JH , Young D , et al. : Severity classification on the Hamilton depression rating scale . J Affect Disord 2013 ; 150 : 384 – 388 Crossref, MedlineGoogle Scholar

19 Leentjens AFG , Dujardin K , Marsh L , et al. : Apathy and anhedonia rating scales in Parkinson’s disease: critique and recommendations . Mov Disord 2008 ; 23 : 2004 – 2014 Crossref, MedlineGoogle Scholar

20 Leentjens AFG , Dujardin K , Marsh L , et al. : Anxiety rating scales in Parkinson’s disease: a validation study of the Hamilton Anxiety Rating Scale, the Beck Anxiety Inventory, and the Hospital Anxiety and Depression Scale . Mov Disord 2011 ; 26 : 407 – 415 Crossref, MedlineGoogle Scholar

21 Brown RG , Lacomblez L , Landwehrmeyer BG , et al. : Cognitive impairment in patients with multiple system atrophy and progressive supranuclear palsy . Brain 2010 ; 133 : 2382 – 2393 Crossref, MedlineGoogle Scholar

22 Cao B , Zhao B , Wei QQ , et al. : The global cognition, frontal lobe dysfunction and behavior changes in Chinese patients with multiple system atrophy . PLoS One 2015 ; 10 :e0139773CrossrefGoogle Scholar

23 Cohen J : Statistical Power Analysis for the Behavioral Sciences , 2nd ed . New York , Academic Press , 1988 Google Scholar

24 Santangelo G , Cuoco S , Picillo M , et al. : Evolution of neuropsychological profile in motor subtypes of multiple system atrophy . Parkinsonism Relat Disord 2020 ; 70 : 67 – 73 Crossref, MedlineGoogle Scholar

25 Kao AW , Racine CA , Quitania LC , et al. : Cognitive and neuropsychiatric profile of the synucleinopathies: Parkinson disease, dementia with Lewy bodies, and multiple system atrophy . Alzheimer Dis Assoc Disord 2009 ; 23 : 365 – 370 Crossref, MedlineGoogle Scholar

26 Schrag A , Geser F , Stampfer-Kountchev M , et al. : Health-related quality of life in multiple system atrophy . Mov Disord 2006 ; 21 : 809 – 815 Crossref, MedlineGoogle Scholar

27 Schrag A , Sheikh S , Quinn NP , et al. : A comparison of depression, anxiety, and health status in patients with progressive supranuclear palsy and multiple system atrophy . Mov Disord 2010 ; 25 : 1077 – 1081 Crossref, MedlineGoogle Scholar

28 Siri C , Duerr S , Canesi M , et al. : A cross-sectional multicenter study of cognitive and behavioural features in multiple system atrophy patients of the parkinsonian and cerebellar type . J Neural Transm (Vienna) 2013 ; 120 : 613 – 618 Crossref, MedlineGoogle Scholar

29 Ceponiene R , Edland SD , Reid TN , et al. : Neuropsychiatric symptoms and their impact on quality of life in multiple system atrophy . Cogent Psychol 2016 ; 3 : 1131476 CrossrefGoogle Scholar

30 McKinlay A , Grace RC , Dalrymple-Alford JC , et al. : Neuropsychiatric problems in Parkinson’s disease: comparisons between self and caregiver report . Aging Ment Health 2008 ; 12 : 647 – 653 Crossref, MedlineGoogle Scholar

31 Eschlböck S , Delazer M , Krismer F , et al. : Cognition in multiple system atrophy: a single-center cohort study . Ann Clin Transl Neurol 2020 ; 7 : 219 – 228 Crossref, MedlineGoogle Scholar

32 Santangelo G , Cuoco S , Pellecchia MT , et al. : Comparative cognitive and neuropsychiatric profiles between Parkinson’s disease, multiple system atrophy and progressive supranuclear palsy . J Neurol 2018 ; 265 : 2602 – 2613 Crossref, MedlineGoogle Scholar

33 Marin RS : Differential diagnosis and classification of apathy . Am J Psychiatry 1990 ; 147 : 22 – 30 Crossref, MedlineGoogle Scholar

34 Lai CKY : The merits and problems of Neuropsychiatric Inventory as an assessment tool in people with dementia and other neurological disorders . Clin Interv Aging 2014 ; 9 : 1051 – 1061 Crossref, MedlineGoogle Scholar

35 Zahodne LB , Marsiske M , Okun MS , et al. : Mood and motor trajectories in Parkinson’s disease: multivariate latent growth curve modeling . Neuropsychology 2012 ; 26 : 71 – 80 Crossref, MedlineGoogle Scholar

36 Ječmenica-Lukić M , Pekmezović T , Petrović IN , et al. : Use of the neuropsychiatric inventory to characterize the course of neuropsychiatric symptoms in progressive supranuclear palsy . J Neuropsychiatry Clin Neurosci 2018 ; 30 : 38 – 44 LinkGoogle Scholar