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ABSTRACT
Background
and Objectives:
Parkinsonian Features are commonly associated
with dementia and its severity increases over
time; but it is not known whether they are associated
with mild cognitive impairment (MCI) or not.
The Objectives
of this research were to determine prevalence
of parkinsonian features, specifically (bradykinesia,
rigidity, tremors, changes in posture, speech
and facial expressions) in non-demented community-dwelling
Egyptian elderly with MCI, and to study the correlation
between Parkinsonian features and cognitive functions
in elderly patients with MCI.
Methods:
507 elderly participants residing in the selected
geriatrics clubs and homes were randomly selected
and subjected to neuropsychological assessment
for detection of 100 MCI patients. Those patients
with MCI underwent cognitive assessment and neurological
assessment using the modified version of Unified
Parkinson Disease Rating Scale for detection of
Parkinsonian features.
Results: 66% of our participants had Parkinsonian
features. Such features were significantly related
to the severity of MCI. The most affected cognitive
function in those elderly was language and the
presence of Parkinsonian features was significantly
related to cerebrovascular risk factors.
Conclusion: Parkinsonian features are prevalent
in MCI patients.
Key words: Parkinsonian, elderly, MCI,
Egyptian, prevalence
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INTRODUCTION
Mild Parkinsonian signs (MPS) or extra-pyramidal signs,
including rigidity, changes in axial function, and resting
tremors, occur in 15 to 40% of community-dwelling elderly
and are associated with functional impairment [1]. Extra-pyramidal
signs in non-demented subjects are associated with higher
mortality, increased functional impairment and the subsequent
development of dementia [2].
It is unclear whether the emergence of MPS reflects
an age associated decline in nigrostriatal dopaminergic
activity or whether these motor signs are due to the
presence of emerging dementia or subcortical cerebrovascular
disease [3]. Longitudinal studies have shown that MPS
increase in severity over time and they are associated
with incident dementia [4].
Aging is an inevitable and undeniable process that impacts
all aspects of life. It is associated with a broad range
of physiological and psychological changes, including
a decline in cognition which contributes to loss of
independence and a lower quality of life [5]. Mild Cognitive
Impairment (MCI) is thought to be a transitional state
between normal aging and dementia [6]. The prevalence
of MCI varies between 2 and 30% in the general population
and between 6 and 85% in a clinical setting (average
40%) [7].
Individuals with amnestic-MCI progress to AD at a rate
of 10% to 15% per year, compared with 1% to 2% per year
in normal elderly persons [8]. Also, it was found that
patients with MCI when followed over time may progress
to non-AD dementia, for example; patients with Parkinson's
disease (PD) and MCI may be at higher risk of progressing
to dementia than cognitively intact PD patients [9].
Identifying states that will predict the subsequent
development of dementia has important implications for
future therapeutic interventions. Much current focus
is upon the entity of mild cognitive impairment [10].
Little is known about correlations of specific Parkinsonian
signs with cognitive decline in AD. In some studies,
the rates of change in bradykinesia, gait disorder,
postural reflex impairment, and especially rigidity
were strongly related to the rate of cognitive decline.
In cross-sectional research on Parkinson disease, a
somewhat similar pattern has been described with motor
signs other than tremor showing modest correlations
with cognitive function [11].
In a study on community-dwelling elderly participants
aged 75 and over, abnormalities of gait including unsteadiness,
frontal gait disorders and hemiparetic gaits predicted
the development of non-Alzheimer dementias over a median
period of 6.6 years [12].
Hence it was important to begin research reporting on
such an important topic in the Egyptian elderly. The
purpose of this study was to determine prevalence of
Parkinsonian features specifically (bradykinesia, rigidity,
tremors, changes in posture, speech and facial expressions)
in non-demented community-dwelling Egyptian elderly
with MCI, and to study the correlation between Parkinsonian
features and cognitive functions in those MCI patients.
METHODOLOGY
Study design
A cross sectional study was conducted to assess Parkinsonian
features in Egyptian elderly patients with MCI. The
study was carried out in six geriatric clubs and three
geriatric homes located in Cairo. Those clubs and homes
were chosen randomly from a list supplied by the social
workers in the geriatrics department, Ain Shams University.
This list was updated regularly from the Ministry of
Social Affairs. For each of those geriatric clubs and
homes, lists of their elderly residents were assessed
for selection in the study.
Methods
The number of MCI patients required for the study was
determined as One hundred patients. To reach this required
number of participants the study passed through two
stages.
Stage I: A total number of 542 elderly participants
(507 after exclusion) both men and women, residing in
the selected geriatrics clubs and homes were randomly
selected. The selected participants were ambulant at
the time of assessment, not previously diagnosed as
demented and had no evidence of impairment in their
activities of daily living. After taking consent, they
were subjected to a structured interview including demographic
data, past medical history, list of medications used,
physical examination, neurological examination, cognitive
function assessment using Mini Mental Status Examination
(MMSE) [14] and Montreal Cognitive Assessment (MoCA)
[15], functional assessment using ADL (Activities of
Daily Living ) [18] and IADL (Instrumental Activities
of Daily Living) [19] and Screening for depression using
Geriatric depression scale-15 items (GDS-15)[20].
Montreal Cognitive Assessment is a screening instrument
reportedly to be capable of distinguishing MCI from
age-related cognitive decline. It is a one-page 30-item
point test administered in 10 minutes.
Thirty-five elderly participants were excluded from
the study, and the total number of elderly participants
needed for detection of MCI patients and were eligible
for the study was 507 elderly participants. The exclusion
criteria were: subjects with Parkinson's disease or
Parkinson plus syndrome or any other clinically evident
neurological disorder, subjects with severe musculoskeletal
disorders, subjects who did not complete their assessment,
subjects receiving neuroleptic drugs, subjects with
MMSE [14] score <26, subjects who had less
than 6 years of formal education, subjects with severe
auditory or visual loss, and immobile subjects.
Stage II: One hundred elderly without dementia
(65 men, 35 women) with a mean age 75 ±8 years
were eligible for participation. The diagnosis of MCI
was rendered for individuals who had cognitive impairment
but who did not meet criteria for dementia. Diagnosis
of mild cognitive impairment (MCI) required
(a) objective impairment in at least one of four cognitive
domains (memory, executive function, language, visuospatial)
based on performance on the neuropsychological test
battery.
(b) a subjective complaint of memory impairment, and
(c) absence of functional impairment, according to the
published criteria [13].
For specific analyses examining
the subtypes of MCI, individuals who had MCI with relatively
impaired episodic memory were considered amnestic-MCI,
whereas individuals who had MCI with relatively spared
episodic memory were considered non-amnestic MCI.
The MCI participants were assessed for detection of
extra-pyramidal signs by standardized neurological examination,
which included an abbreviated version [16] of the motor
portion of the Unified Parkinson's Disease Rating Scale
(UPDRS) [17].
The abbreviated 10 items included speech, facial expression,
tremors at rest (in any body region), rigidity (rated
separately in the neck, right arm, left arm, right leg,
and left leg), posture, and body (axial) bradykinesia.
Each of the ten items was rated from 0 to 4. A rating
of 1 indicated a mild abnormality and a rating =2 indicated
an abnormality of moderate severity, a rating =3 indicated
severe abnormality, a rating =4 indicated marked abnormality
interfering with function. A Parkinsonian sign score
(range = 0 [no Parkinsonian signs] to 40 [maximum])
was calculated for each participant. Extra pyramidal
signs or MPS (mild Parkinsonian symptoms) were defined
as present when any one of the following conditions
was met: (i) two or more UPDRS ratings >1;
or (ii) one UPDRS rating >2 [1].
Statistical Analysis
The data was collected, coded and entered into a personal
computer (PC). The data was analyzed with the program
(SPSS) Statistical Package for Social Science under
Windows version 13.0. Description of all data in the
form of mean (M) and standard deviation (SD) for all
quantitative variables was done. Frequency and percentage
were done for all qualitative variables. Comparison
of qualitative variables was done using the Chi-square
test. Correlation coefficient was also used to find
linear relation between different variables using r-test
or Spearman correlation co-efficient. P value was always
set as significant at P<0.05.
RESULTS
The results of our study
showed that the mean age of our study population was
75±8 years, and 65% were men. 61% had >12
years education while the remaining 39% of study population
had 6-12 years of education. Also, it shows that 63%
were smokers, 57% had hypertension, 31% had diabetes,
24% had heart diseases, and 10% had other diseases,
while 18% of the study population had no co-morbidity
(Table 1).
| Age (mean±SD) |
75±8 years
|
| Gender |
|
Education
(in years) |
| 6 -12 years of education % |
39% |
| >12 years education % |
61% |
|
| Smoking |
| Smokers |
63% |
| Non-smokers |
37% |
|
| Co-morbid
diseases |
| No co-mordidity |
18% |
| Diabetes mellitus |
31% |
| Hypertension |
57% |
| Heart Diseases |
24% |
| Others |
10% |
|
Table
1: Demographic characteristics of the study population
Results revealed that 66% of the MCI participants had
Parkinsonian features in any form that were distributed
as follows: bradykinesia in 63% of participants, stooped
posture in 49%, rigidity in 22%, speech affection in
14%, facial expression (hypomimia) in 13%, and resting
tremors in only 3% of MCI participants (Table 2).
| Parkinsonian
feature |
Prevalence
among MCI participants
|
| Presence of any of parkinsonian
features |
66%
|
| Bradykinesia |
63%
|
| Stooped posture |
49%
|
| Rigidity |
22%
|
| Speech affection |
14%
|
| Facial expression (hypomimia) |
13%
|
| Resting tremors |
3%
|
Table
2: Parkinsonian features among the studied MCI participants
We found that Parkinsonian features were significantly
related to poorer performance in both MOCA and MMSE
tests with a p value of (0.038) and (0.016) respectively
(Table 3).
| |
Participants
with Parkinsonian features
|
Participants
without Parkinsonian features
|
P value
|
MOCA Score
(Mean±SD)
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22.73±2.46
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23.74±1.83
|
0.038
|
MMSE Score
(Mean±SD)
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27.92±1.04
|
28.47±1.08
|
0.016
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Table
3: Comparison between participants with and without
Parkinsonian features as regards their MOCA and MMSE
tests scores
The most affected cognitive domain of MoCA test was
language (P value = 0.005), while other cognitive domains
such as executive, attention, calculation, abstraction,
and delayed recall did not show such significance (Table
4).
| |
Participants
with
Parkinsonian features
|
Participants
without Parkinsonian features
|
P value
|
Executive Function score
(mean ±SD)
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3.23±1.36
|
3.47±1.18
|
0.381
|
Attention score
(mean ±SD)
|
2.88±0.33
|
2.82±0.46
|
0.490
|
Calculation score
(mean ±SD)
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2.36±1.06
|
2.29±0.87
|
0.743
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Language score
(mean ±SD)
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2.26±0.44
|
2.56±0.50
|
0.005
|
Abstraction score
(mean ±SD)
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1.55±0.612
|
1.65±0.48
|
0.403
|
Delayed recall score
(mean ±SD)
|
1.41±1.07
|
1.85±1.21
|
0.076
|
Table
4: Comparison between participants with and without
Parkinsonian features as regards the score of different
cognitive domains of the MOCA test
A statistically significant negative correlation was
found between both total MOCA score (P = 0.045) and
its sub-item (language) score (P = 0.001) and UPDRS
score of the studied Parkinsonian features (Table 5).
Finally presence of Parkinsonian features were significantly
related to vascular risk factors such as smoking (P
value =0.018), hypertension (P value =0.007), and ischemic
heart disease (P value =0.04) (Table 6).
| |
MOCA
test scores |
R
|
P value
|
| UPDRS score |
| Total test score |
| Executive function (sub-item score) |
| Attention (sub-item score) |
| Calculation (sub-item score) |
| Language (sub-item score) |
| Abstraction (sub-item score) |
| Delayed recall (sub-item score) |
|
|
-0.201
|
|
-0.06
|
|
0.073
|
|
0.012
|
|
-0.324
|
|
-0.029
|
|
-0.183
|
|
|
0.045
|
|
0.556
|
|
0.471
|
|
0.909
|
|
0.001
|
|
0.362
|
|
0.068
|
|
Table
5: Correlation between UPDRS score and the MOCA total
and sub-items cognitive domains scores
| Co-morbidity |
With
Parkinsonian Features
|
Without
Parkinsonian Features
|
P
value |
| |
Number
|
Percentage
|
Number
|
Percentage
|
|
| Smoking |
|
|
|
|
|
0.018
|
| Hypertension |
|
|
|
|
|
0.007
|
| Diabetes |
|
|
|
|
|
0.106
|
| Ischemic
heart disease |
|
|
|
|
|
0.04
|
Table
6: Relation between presence of Parkinsonian Features
and different
co-morbidities
DISCUSSION
Mild Parkinsonian
signs (MPS) include gait and balance changes, rigidity,
bradykinesia, and tremor which can occur commonly during
the clinical examination of older people who do not
have known neurological disease, with prevalence estimates
for MPS as a whole ranging from 15% to 95%. MPS are
generally progressive and they are coupled with functional
difficulties, impaired gait and balance, and increased
risks of mild cognitive impairment, dementia, and mortality
[21].
The aim of the current study was to assess the prevalence
of Parkinsonian features among individuals with MCI
and to find any correlation between the presence and
severity of Parkinsonian features and the degree of
MCI. Our results revealed that 66% of the study population
has Parkinsonian features. The wide range of MPS among
normal elderly and the fact that such signs are coupled
with MCI and dementia patients may explain the high
prevalence that was observed in our population.
Boyle and colleague [22] found that among individuals
with MCI, lower levels of cognitive function particularly
in perceptual speed, were associated with higher levels
of Parkinsonian signs which are related to the severity
and type of cognitive impairment. Our study revealed
almost the same results; there was a statistical significant
relation between MCI and Parkinsonian features with
a mean score of MOCA being higher in patients without
Parkinsonian features (23.74±1.831), than those
with Parkinsonian features (22.73± 2.459). Also
the severity of MCI was closely related to the presence
and the severity of Parkinsonian features and this was
obvious by the statistically significant negative correlation
between total MCI score and UPRD score.
The most common Parkinsonian features that were observed
in our population are bradykinesia and stooped posture;
they affected almost 50% of our study population. This
agrees with Boyle et al. [22] who found that MCI is
associated with multiple Parkinsonian signs, including
bradykinesia, gait disturbance and rigidity but disagrees
with Louis et al., [1] who found that rigidity rather
than tremor or bradykinesia was most strongly associated
with MCI (amnestic type). This may be due to the fact
that they did not include the assessment of appendicular
bradykinesia so it is possible that they may have underestimated
the correlates of Parkinsonian signs, and both of the
previously mentioned studies included patients without
MCI, which is lacking in our study.
The most affected cognitive function in our sample was
language which was found to be significantly related
to Parkinsonian features. Critchley [23] in a study
of speech disorders in Parkinsonism reported that it
is a paradigm of the integration of phonation, articulation,
and language in production of speech, and as language
is considered one of the deficiencies and diagnostic
criteria of MCI so it was expected to be one of the
most affected functions in our patients. Other cognitive
function did not show such significant correlation.
Finally it was observed that Parkinsonian features were
significantly related to the presence of smoking, hypertension
and ischemic heart disease. Being risk factors for cerebrovascular
disease, the three previously mentioned conditions could
represent the relation between MCI and Parkinsonian
features and cerebrovascular disease. This association
was reported in a lot of the literature, such as Bennett
et al., [24] who reported that cerebrovascular involvement
in mild cognitive impairment is intermediate between
that seen in ageing and early Alzheimer's disease. Also,
Louis et al., [1] found that Parkinsonian features were
associated with vascular risk factors like hypertension,
as well as there being an association between vascular
risk factors and MCI, and both suggest that cerebrovascular
disease may be contributing to both Parkinsonian features
and MCI.
ACKNOWLEDGMENTS
We acknowledge the social workers of Geriatrics
and Gerontology department, Faculty of Medicine, Ain
Shams University, Cairo, Egypt for their help in providing
lists for geriatric clubs and homes in Cairo.
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