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. 2014 Sep 16;6(5):53. doi: 10.1186/s13195-014-0053-6

A systematic review of cognitive decline in dementia with Lewy bodies versus Alzheimer’s disease

Monica H Breitve 1,2,, Luiza J Chwiszczuk 1,3, Minna J Hynninen 4,5, Arvid Rongve 1,2,6, Kolbjørn Brønnick 7,8, Carmen Janvin 9, Dag Aarsland 9,10
PMCID: PMC4255525  PMID: 25478024

Abstract

Introduction

The aim of this review was to investigate whether there is a faster cognitive decline in dementia with Lewy bodies (DLB) than in Alzheimer’s disease (AD) over time.

Methods

PsycINFO and Medline were searched from 1946 to February 2013. A quality rating from 1 to 15 (best) was applied to the included studies. A quantitative meta-analysis was done on studies with mini mental state examination (MMSE) as the outcome measure.

Results

A total of 18 studies were included. Of these, six (36%) reported significant differences in the rate of cognitive decline. Three studies reported a faster cognitive decline on MMSE in patients with mixed DLB and AD compared to pure forms, whereas two studies reported a faster decline on delayed recall and recognition in AD and one in DLB on verbal fluency. Mean quality scores for studies that did or did not differ were not significantly different. Six studies reported MMSE scores and were included in the meta-analysis, which showed no significant difference in annual decline on MMSE between DLB (mean 3.4) and AD (mean 3.3).

Conclusions

Our findings do not support the hypothesis of a faster rate of cognitive decline in DLB compared to AD. Future studies should apply recent diagnostic criteria, as well as extensive diagnostic evaluation and ideally autopsy diagnosis. Studies with large enough samples, detailed cognitive tests, at least two years follow up and multivariate statistical analysis are also needed.

1 Introduction

Dementia with Lewy bodies (DLB) and Alzheimer’s disease (AD) are the two most common subtypes of neurodegenerative dementia, representing 15 to 20% and 65% of all dementia cases, respectively [1]. DLB is characterized clinically by symptoms such as visual hallucinations, Parkinsonism and fluctuating cognition in addition to cognitive impairment with typically more visuospatial and executive impairment relative to memory impairment [2]. There is some evidence that DLB patients have more rapidly progressing dementia compared to AD [3], and more recent studies also reported a more severe course with shorter survival [4], higher rate of nursing home admissions [5] and higher costs in DLB as compared to AD [6].

An overlap in neuropathology between AD and DLB has been noted [7]. Parkinson’s disease (PD) and DLB also share some clinical and pathological features [8]. Subgroups with different cognitive profiles have been described in patients with PD [9], and there is evidence that this differentiation is related to the rate of cognitive decline [10]. Similar neuropsychologically defined subgroups may exist also in DLB [8], which could also predict differences in the rate of progression to end-stage dementia. Data supports accelerated disease progression when AD and DLB pathologies are present together [11].

To our knowledge, no systematic review has compared rate of cognitive decline in DLB versus AD. We therefore systematically reviewed the literature to find studies assessing overall cognitive decline in DLB and AD. We specifically noted studies that had investigated the potential differences in cognitive decline in subgroups with DLB and the effect of employing different diagnostic criteria.

2 Methods

PsycINFO and Medline were searched in February 2013, using key words listed in Table 1. References from reviewed articles were also searched for relevant studies. The following inclusion criteria were used: a) paper published in a peer-reviewed journal; b) written in English; c) DLB or mixed AD/DLB compared with AD; d) application of at least one neuropsychological test, and e) at least 6 months follow up. The following exclusion criteria were used: a) drug trials, and b) survival studies with death as the only outcome.

Table 1.

Search history

  Medline
PsycINFO
 
(1946 to February 2013) (1806 to February 2013)  
Key words
Alzheimer’s disease and Lewy body disease, or Lewy bodies
Alzheimer’s disease and dementia with Lewy bodies
 
Key words
Neuropsychology, or neuropsychological tests, or Cognition, or cognition disorders
Neuropsychology, or neuropsychological assessment, or neuropsychological assessment, or Cognition, or cognitive impairment, or
 
Key words
Disease progression, or longitudinal studies
Disease course, or disease prognosis, or longitudinal studies
 
Search results
70
97
 
Included     18

2.1 Quality assessment

Two independent raters rated all studies with a self-designed quality scale and arrived at the same result. The domains, a) number of patients included; b) follow-up time; c) clinical criteria; d) autopsy, and e) neuropsychological tests) were rated on a four-point scale adapted from Aarsland et al. (2005) [12]: 0 (none), 1 (poor), 2 (fair) and 3 (good). See Table 2. Studies could be assigned 1 to 15 points.

Table 2.

Quality assessment criteria

 
Score
  3 2 1 0
Patients at baseline, number
>151
101 to 150
51 to 100
<50
Follow-up time, years
>3 or mean ≥3
3
2
≤1
Clinical criteria
Established criteria for AD + DLB criteria from 2005
Established criteria for AD + DLB criteria from 1992 or 1996
Used criteria for one type of dementia
No criteria used
Autopsy, % of participants 100 >50 >25 None

AD, Alzheimer’s disease; DLB, dementia with Lewy bodies; BNT, Boston naming test; CERAD, Consortium to Establish a Registry for Alzheimer’s Disease evaluation; DRS, dementia rating scale; ESD, extended scale for dementia; HVLT-R Hopkins verbal learning test-revised; mMMS, modified mini-mental state examination; MMSE, mini mental state examination; MTS, 37 item mental test score.

2.2 Statistical analysis

For studies reporting mini mental state examination (MMSE) results, standardized mean difference in annual progression between DLB and AD was calculated as the difference between annual progression between the DLB and AD groups divided by the pooled standard deviation across groups in each included study. The standardized mean differences were combined in a random-effects model to obtain summary estimates of the effect in each study. The overall results from each trial were then combined using a random-effects model to obtain a pooled summary estimate of effect across all trials [13]. To assess heterogeneity, the I2 as proposed by Higgins and colleagues [14] was chosen, indicating the percentage of total variation across studies due to heterogeneity.

3 Results

Of the 18 studies included in this review (see Table 3), six (36%) reported a statistically significant difference in cognitive decline over time between AD and DLB (see Table 4). Three studies reported a faster cognitive decline on cognitive screening tests in the neuropathologically mixed AD/DLB group [3],[15],[16] compared to those with pure AD or DLB. One study reported a faster decline in DLB than in AD on verbal fluency [17], and two in AD compared to DLB on memory [18],[19]. For a full description of neuropsychological tests used in included studies, see Table 3.

Table 3.

Study characteristics and main findings of included studies

Study Sample, male/female ratio (m/f), mean age (SD) Follow-up period Neuropsychological tests AD versus DLB comparison Test scores, mean (SD)
McKeith et al ., 1992 [[20]]
AD 37
Baseline and late stage
MTS
No significant difference
MTS baseline
m/f 13/24
AD 15.9 (1.8)
y 74.7 (0.9)
SDLT 24.5 (1.7)
SDLT 21
MTS late stage
m/f 12/9
AD 9.3 (2.1)
y 73.3 (1.6)
SDLT 18.2 (2.3)
Ballard et al ., 1996 [[17]]
AD 53
1 y
CAMCOG
SDLT faster decline of verbal fluency
Scores for subtests n/a
m/f, n/a
 
 
 
 
Y, n/a
CAMCOG total, baseline
SDLT 7
AD 42.7 (17.9)
 
SDLT 47.7 (18.0)
m/f, n/a
CAMCOG mean annual decline
Y, n/a
VaD 14
AD 13.2 (12.6)
m/f, n/a
SDLT 27.0 (19.8)
Y, n/a
Ballard et al ., 1998 [[21]]
AD 30
1 y
MMSE
No significant difference
MMSE baseline
m/f 9/21
AD 13.9
DLB 14.9
y 81.7
MMSE mean annual decline
DLB 42
AD 4.1
m/f 19/24
DLB 3.9
y 73.6
Olichney et al ., 1998 [[3]]
AD 148
Mean 3 y
MMSE
LBV faster decline
MMSE baseline
m/f 80/68
y 74.0 (7.9)
AD 17.8 (6.0)
LBV 40
LBV 18.2 (5.5)
m/f 25/15
MMSE 1 y (n = 136/35)
y 72.4 (6.5)
AD 14.3 (7.2)
LBV 12.5 (7.5)
MMSE 2 y (n = 93/17)
AD 12.3 (7.9)
LBV 8.1 (6.3)
MMSE 3 y (n = 59/12)
AD 10.1 (8.4)
LBV 4.5 (6.5)
MMSE 4 y (n = 35/4)
AD 9.1 (7.9)
LBV 2.5 (3.0)
MMSE mean annual decline
AD 4.1 (3.0)
LBV 5.8 (4.5)
Heyman et al ., 1999 [[18]]
AD 74
Annual controls
CERAD (including CDT, calculation test, serial subtraction, CDR, BNT, MMSE, 10-item word list memory, recall and recognition, constructional praxis, two of the six items of the orientation-memory-concentration test)
AD faster decline in delayed recall
32% of LBV versus 15% of AD remembered any item on word list recall at last evaluation
m/f 47/27
y 41% >74 y
AD/LBV 27
m/f 14/13
y 37% >74 y
Lopez et al ., 2000 [[22]]
AD 98
Mean 59 months
MMSE
No significant difference
MMSE baseline
m/f 50/48
y 70.8 (9.4)
AD 16.0 (6.5)
AD/DLB 44
AD/DLB 16.2 (5.1)
m/f 20/24
y 72.3 (6.0)
Stern et al ., 2001 [[23]]
AD 32
Annual controls, longest 9.9 y
mMMSE (including WAIS-R digit span forward, backward, attention, calculation, general knowledge, language, construction), CDR
No significant difference
mMMSE baseline
m/f 16/16
AD 36.7 (6.3)
y 73.0 (9.0)
LBV 37.3 (6.2)
LBV 19
mMMSE mean annual decline 3.6 (both groups)
m/f 17/2
y 73.6 (6.8)
Ballard et al ., 2001 [[24]]
AD 101
1y
MMSE, CAMCOG
No significant difference
MMSE n = 203
m/f 30/71
MMSE baseline
probable AD 61 m/f 17/44
prob AD 17.7 (5.1)
poss AD 17.2 (5.2)
y 81.9 (4.8)
DLB 15.6 (7.0)
possible AD 40
MMSE mean annual decline
m/f 13/27
y 79.0 (7.8)
AD 4.9 (3.6)
DLB 64
DLB 4.3 (4.2)
m/f 26/38
CAMCOG n = 154
Baseline 57.5 (18.8)
y 76.6 (7.7)
VaD 38
CAMCOG mean annual decline
m/f 22/16
y 76.8 (7.7)
Probable AD 15.0 (10.1)
Possible AD 14.4 (9.8)
DLB 11.9 (12.2)
Helmes et al ., 2003 [[25]]
AD 15
50 months
ESD
No significant difference
Scores n/a
m/f 9/6
y 70.3 (7.6)
AD/DLB 8
m/f 5/3
y 69.3 (11.2)
DLB 7
m/f 5/2
y 69.1 (4.1)
Johnson et al ., 2005 [[26]]
AD 66
Annual controls,
WMS (digits forward, backward, logical memory and associate learning), BVRT, word fluency, BNT, WAIS (Digit Symbol and Block Design), TMT A, Crossing Off, CDR
No significant difference
Follow-up scores n/a. For baseline scores for all tests see article
m/f 39/27
1 to 20 assessments
y 77.0 (8.1)
AD/DLB 57
m/f 31/26
y 75.2 (9.7)
DLB 9
m/f 8/1, age 72.6 (5.7)
Kraybill et al ., 2005 [[15]]
AD 48
Annual controls
MMSE, DRS
AD/LBP faster decline than AD and LBP
MMSE baseline
 
m/f 18/30
 
 
 
AD 20.6 (3.9)
y at onset 77.5
AD/LBP 20.7 (3.7)
(7.34)
LBP 20.7 (3.8)
AD/LBP 65
MMSE mean annual decline
m/f 24/41
AD 3.5 (0.4)
y at onset 74.8 (6.6)
AD/LBP 5.0 (0.5)
LBP 3.4 (0.7)
LBP 22
DRS baseline
m/f 16/6
AD 114.7 (2.1)
y at onset 76.5 (5.3)
AD/LBP 114.2 (1.8)
LBP 114.2 (2.7)
DRS mean annual decline
AD 9.6 (1.5)
AD/LBP 15.3 (1.9)
LBP 8.8 (1.7)
Stavitsky et al ., 2006 [[19]]
AD 55
Mean 3 y
mMMSE (incl WAIS-R digit Span forward, backward, attention, calculation, general knowledge, language, construction), HVLT-R
AD faster decline on recognition.
mMMSE baseline
m/f 21/34
AD 39.0 (7.6)
DLB 38.1 (8.3)
y 73.1 (8.3)
HVLT-R n/a
DLB 28
m/f 19/9
y 73.5 (7.6)
Williams et al ., 2006 [[27]]
AD 252
< 5 y
MMSE, CDR, WMS (mental control, logical memory, digit span forward and backward, associate learning), BVRT, WAIS (information, digit symbol, block design), word fluency, BNT, Crossing off, TMT A
No significant difference.
Scores n/a
m/f 95/157
y 77.8 (9.5)
DLB 63
m/f 38/25
y 73.5 (8.7)
Hamilton et al ., 2008 [[28]]
AD 44
2 y
DRS, WISC-R (block design), CDT copy, BNT
Poor baseline visuospatial skills (block design <20, CDT copy <3) were strongly associated with faster decline in DLB, but not AD.
DRS baseline
m/f 20/24
AD 114.4 (15.4)
y 72.0 (5.6)
DLB 109.5 (11.4)
DLB 22
DRS 1 y mean decline
m/f 14/8
y 73.4 (6.2)
AD 7.9 (11.6)
DLB 17 (24.2)
DRS 2 y mean decline
AD 23.9 (24.7)
DLB 39.3 (35.1)
Other scores n/a
Hanyu et al ., 2009 [[29]]
AD 111
5 y
MMSE
No significant difference
MMSE
m/f 37/74
Baseline n = 111/56
y 77.5 (6.2)
AD 20.3 (3.7)
DLB 56
DLB 20.7 (3.8)
m/f 30/26
1 y n = 111/56
y 78.1 (5.2)
AD 19.4 (4.8)
DLB 20.5 (4.2)
2 y n = 102/40
AD 17.7 (5.2)
DLB 18.0 (4.8)
3 y n = 72/25
AD 16.2 (5.0)
DLB 17.0 (5.3)
4 y n = 51/19
AD 14.2 (4.5)
DLB 13.4 (4.0)
5 y n = 16/5
AD 11.4 (5.2)
DLB 10.6 (4.0)
Nelson et al ., 2009 [[16]]
AD 107
Mean 4 y
MMSE
AD/DLB had a faster decline than DLB and AD.
MMSE baseline n/a
m/f n/a
MMSE final
y n/a
AD 10.7 (8.6)
AD/DLB 27
AD/DLB 10.6 (8.6)
m/f n/a
DLB 15.6 (8.7)
y n/a
DLB 9
m/f n/a
y n/a
Wood et al ., 2012[30]
AD 16
1 y
MMSE, CAMCOG, NEVIP
No significant difference.
MMSE baseline
m/f 12/4
AD 21.3 (3.2)
y 78.9 (6.1)
DLB 24.5 (3.3)
DLB 10
MMSE decline from baseline
m/f 9/1
y 78.2 (7.4).
AD 2.1 (3.6)
Controls 28
DLB 1.8 (3.1)
m/f 16/12
CAMCOG baseline
y 79.5
AD 71.4 (9.7)
DLB 79.1 (12.0)
CAMCOG decline from baseline
AD 7.4 (10.7)
DLB 4.3 (7.3)
Walker et al ., 2012[31] AD 100
1 y MMSE, CAMCOG-R, VOSP, CDR No significant difference. MMSE baseline
m/f 48/52
AD 21.5 (4.5)
y 74,9
DLB 21.4 (3.9)
DLB 58
MMSE follow up (n = 81/33)
m/f 37/21
AD 19.0 (6.2)
y 74,2
DLB 18.5 (6.0)
CAMCOG-R baseline
AD 66.3 (15.6)
DLB 66.0 (13.5)
CAMCOG-R follow up
(n = 81/33)
AD 59.6 (20.3)
DLB 56.3 (19.7)

AD, Alzheimer’s disease; DLB, dementia with Lewy bodies; LBP, Lewy body pathology; LBV, Lewy body variant; n/a, not available; SDLT, senile dementia of Lewy body type; VaD, vascular dementia; y, years; BNT, Boston naming test; BVRT, Benton visual retention test; CAMCOG, Cambridge cognitive examination; CAMCOG-R, Cambridge cognitive examination-revised; CDR, clinical dementia rating; CDT, clock drawing test; CERAD, Consortium to Establish a Registry for Alzheimer’s Disease evaluation; DRS, dementia rating scale; ESD, extended scale for dementia; HVLT-R, Hopkins verbal learning test-revised; MMSE, mini mental state examination; mMMS, modified mini-mental state examination; MTS, 37-item mental test score; NEVIP, Newcastle visual perception battery; TMT A, trail making test A; VOSP, visual object and space perception battery; WAIS, Wechsler adult intelligence scale; WISC-R, Wechsler intelligence scale for children-revised; WMS, Wechsler memory scale.

Table 4.

Studies reporting differences in cognitive decline

Study Cognitive function Impairment Contrast group Test
Olichney et al ., 1998 [[3]]
Total score
AD/DLB
AD
MMSE
Kraybill et al l., 2005 [[15]]
Total score
AD/DLB
AD and DLB
MMSE, DRS
Nelson et al ., 2009 [[16]]
Total score
AD/DLB
AD and DLB
MMSE
Heyman et al ., 1999 [[18]]
Delayed recall
AD
AD/DLB
CERAD
Stavitsky et al ., 2006 [[19]]
Recognition
AD
DLB
HVLT-R
Ballard et al ., 1996 [[17]] Verbal fluency DLB AD CAMCOG

AD, Alzheimer’s disease; AD/DLB, mixed pathology; DLB, dementia with Lewy bodies;

CAMCOG, Cambridge cognitive examination; CERAD, Consortium to Establish a Registry for Alzheimer’s Disease evaluation; DRS, dementia rating scale; HVLT-R, Hopkins verbal learning test-revised; MMSE, mini mental state examination.

Six studies either reported annual decline in MMSE scores, or included data enabling calculation of annual decline based on reported scores. In AD, mean annual decline was 3.3 (SD 1.7, range 1.8 to 4.9), and in DLB 3.4 (SD 1.4, range 1.8 to 5.8). One study also reported annual decline of 5.0 in AD/DLB (see Figure 1). The random-effects meta-analysis revealed an overall effect-size of −0.035 (negative sign indicates faster progression in DLB) (P = 0.764; 95% CI = 0.261, 0.192). I2 was 50.3, which is considered to represent moderate heterogeneity [14].

Figure 1.

Figure 1

Forrest plot of annual progression of mini-mental state examination scores. The random-effects meta-analysis revealed an overall effect-size of −0.035 (negative sign indicates faster progression in dementia with Lewy bodies (DLB) (P = 0.764; 95% CI = 0.261, 0.192). AD, Alzheimer's disease.

3.1 Cognitive domains

Six studies measured memory, and two reported differences in memory over time, both a faster decline in AD. Delayed recall was found to have a faster decline in AD compared to AD/DLB when measured with the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) evaluation, with 15% of patients with AD versus 32% of patients with AD/DLB remembering any item at the last evaluation [17]. Recognition was found to have a faster decline in AD compared to DLB as measured with Hopkins verbal learning test- revised (HVLT-R) (scores not available) [19]. Eight studies measuring language and ten studies measuring visuospatial ability reported no differences in rate of decline. Seven studies measured explicit executive functions, and one reported differences over time. In that study, verbal fluency was found to have a more rapid decline in DLB compared to AD, measured with the Cambride cognitive examination (CAMCOG) (subscores not available) [17].

3.2 Subgroups

Two studies [28],[30] divided patients into two groups according to high or low visuospatial functioning. In the first study, DLB patients with a low baseline score (<20) on the Wechsler intelligence scale for children-revised, block design (WISC-R) and impaired clock drawing test (CDT) had a faster decline on the dementia rating scale (DRS), compared to DLB patients with a high baseline score. In the latter study, DLB patients with a low baseline score on the Newcastle visual perception battery (NEVIP) had a faster decline in activities of daily living (ADL) than those with higher score, but no difference on any of the cognitive tests. There were no differences in the AD groups.

3.3 Quality assessment

The mean quality score for all the included studies was 9.4 points (SD 2.5, range 5 to 14) (see Table 5). Only two studies were rated fair or good on all quality measures [26],[27]. Three studies were rated poor on one variable, but fair and good on the others [15],[16],[22]. Mean quality scores for studies that found any differences in cognitive decline was 9.8 points (SD 2.4, range 5 to 11) compared to 9.3 points (SD 2.6, range 5 to 14) in the group with no differences (P = 0.335).

Table 5.

Quality assessment results

Study Sum Patients Neuropsychological tests Time Autopsy Clinical criteria
Williams et al ., 2006 [[27]]
14
3
3
3
3
2
Johnson et al ., 2005 [[26]]
13
2
3
3
3
2
Heyman et al ., 1999 [[18]]
11
1
3
3
3
1
Lopez et al ., 2000 [[22]]
11
2
1
3
3
2
Kraybill et al ., 2005 [[15]]
11
2
2
3
3
1
Olichney et al ., 1998 [[3]]
11
3
1
3
3
1
Nelson et al ., 2009 [[16]]
11
2
1
3
3
2
Stern et al ., 2001 [[23]]
10
1
2
3
3
1
Stavitsky et al ., 2006 [[19]]
10
1
3
3
1
2
Hamilton et al ., 2008 [[28]]
10
1
3
1
3
2
Helmes et al ., 2003 [[25]]
9
0
2
3
3
1
Hanyu et al ., 2009 [[29]]
9
3
1
3
0
2
McKeith et al ., 1992 [[20]]
8
1
1
3
3
0
Ballard et a l., 2001 [[24]]
8
3
2
0
1
2
Walker et al ., 2012 [[31]]
8
3
3
0
0
2
Wood et al ., 2012 [[30]]
6
0
3
0
0
3
Ballard et al ., 1998 [[21]]
5
1
1
0
1
2
Ballard et al ., 1996 [[17]] 5 1 2 0 0 2

3.4 Clinical and neuropathological diagnostic criteria

There were no systematical differences in clinical or neuropathological criteria between studies that found differences in cognitive decline and those who did not (see Table 6). Of 18 included studies, 16 (89%) used National Institute of Neurological and Communication Disorders and Stroke/Alzheimer’s Disease and Related Disorders Association (NINCDS/ADRDA) or CERAD clinical criteria for AD and 12 (67%) used DLB consensus criteria, only one of them used the revised criteria from 2005. To diagnose AD neuropathologically, mainly CERAD neuropathological criteria for the diagnosis of AD and neuropathological DLB consensus criteria from 1996 were used. A diagnosis of mixed AD/DLB was made, if in addition to the Alzheimer’s pathology the characteristic Lewy bodies were found in subcortical and cortical areas. Eleven studies (61%) used autopsy-confirmed diagnosis on all patients. In three studies (17%), some of the diagnoses were autopsy-confirmed. In four studies (22%) autopsy was not performed. One of the studies used 123I-FP-CIT-SPECT only as a method of verifying of clinical diagnosis [31].

Table 6.

Clinical and neuropathological criteria

Study Sample Database Neuropathological criteria Autopsy Dementia criteria
McKeith et al ., 1992 [[20]]
AD 37
Newcastle, UK
AD: plaque/tangle quantification, H + E, CFV, Loyez, Palmgren.
All
DLB: proposed consensus (1992)
SDLT 21
LB: H + E, pholxine, erythrosin
Ballard et al ., 1996 [[17]]
AD 53
West Midlands and Bristol, UK
 
0
AD: NINCDS/ADRDA (1984)
SDLT 7
DLB: McKeith, operational criteria for senile dementia of Lewy body type (1992)
VaD 14
Ballard et al., 1998 [[21]]
AD 30
Newcastle General Hospital, UK
AD: CERAD, plaque – Braunmuhl stain, tangle – modified Palmgren
19
AD: NINCDS/ADRDA (1984)
DLB 42
DLB: McKeith, operational criteria for senile dementia of Lewy body type (1992)
LB: consensus criteria (1996), ubiquitin, anti-tau2, anti-Alz50, anti-AT8 to detect and distinguish cortical LB
Olichney et a l., 1998 [[3]]
AD 148
Cohort from:
AD: CERAD, ADRC
All
AD: NINCDS/ADRDA (1984),
LBV 40
Univeristy of California, San Diego Alzheimer’s Disease Research Center, USA;
LB: ubiquitin, H + E (brainstem, cerebral cortex)
DSM-III for dementia
CERAD centers, multinational
Heyman et al ., 1999 [[18]]
AD 74
Subjects with premortem diagnosis of probable and possible AD from 24 centers participating in CERAD, 1986 to 1995, USA
AD: CERAD
All
AD: NINCDS/ADRDA (1984)
AD/LBV 27
LB: consensus criteria (1996), modified (brainstem, limbic/transitional and noecortical).
Lopez et al ., 2000 [[22]]
AD 98
University of Pittsburg 1983 to 1998, USA
AD: CERAD, NIA-RI
All
AD: NINCDS/ADRDA (1984)
AD/DLB 44
LB: H + E, ubiqutin (SN, neocortex, limbic areas)
DLB: consensus criteria (1996)
Stern et al . 2001 [[23]]
AD 32
From cohort of 236 patients with probable AD
AD: CERAD
All
AD: NINCDS/ADRDA (1984)
LBV 19
LB: semi quantitative ubiquitin (SN, hippocampus, cingulate gyrus, insula cortex)
Recruited:
Columbia University College, New York, USA
Johns Hopkins University, Baltimore, USA
Massachusetts General Hospital, Boston, USA
Ballard et al ., 2001 [[24]]
AD 101
Cohort of 227 patients
AD: CERAD, plaque - Braunmuhl stain, tangle - modified Palmgren
50
AD: NINCDS/ADRDA (1984)
DLB 64
Institute of the Health of the Elderly (IHE), Newcastle, UK
DLB: consensus criteria (1996)
VaD 38
LB: consensus criteria (1996), ubiquitin, anti-tau2, anti-Alz50, anti-AT8 to detect and distinguish cortical LB
Helmes et al ., 2003 [[25]]
AD 15
University of Western Ontario Dementia Study, Canada
No criteria are referred to. Only referred to LB staining methods (Bielschovsky, anti-ubiquitin, anti-synuclein).
All
Not specified.
AD/DLB 8
DLB 7
Johnson et al ., 2005 [[26]]
AD 66
Washington University, from 1979, USA
AD: NIA-RI quantification of diffuse and neuritic depositions in 10 cortical regions
All
AD: NINCDS/ADRDA (1984)
AD/DLB 57
DLB: consensus criteria (1996) or McKeith, operational criteria for senile dementia of Lewy body type (1992)
DLB 9
LB: synuclein
Kraybill et al ., 2005 [[15]]
AD 48
Cohort from University of Washington/Group Health Cooperative Alzheimer’s Disease Patient Registry, USA
AD: CERAD, Braak stages > IV
All
AD: NINCDS/ADRDA (1984)
AD/LBP 65
LB/AD: AD + synuclein (amygdala, SN)
DLB: missing criteria because study was started before the consensus criteria for DLB was established.
LBP 22
LB: Braak stages < III, synuclein (amygdala, SN)
Stavitsky et a l., 2006 [[19]]
AD 55
Cohort of the Predictors Study, 1997:
AD: CERAD
12
AD: NINCDS/ADRDA (1984)
DLB 28
LB: semi quantitative ubiquitin (hippocampus, cingulate gyrus, insula cortex)
DLB: consensus criteria (1996)
Columbia University
Johns Hopkins University,
Massachusetts General Hospital, USA
Williams et al ., 2006 [[27]]
AD 252
Cohort from Washington University, USA
AD: NIA-RI quantification of diffuse and neuritic depositions in 10 cortical regions
All
AD: NINCDS/ADRDA (1984)
DLB 63
DLB: consensus criteria (1996)
LB: synuclein
Hamilton et al ., 2008 [[28]]
AD 44
University of California, Alzheimer’s disease center San Diego, 1985 to 2002, USA
AD: modified Braak staging, NIA-RI (1997) and CERAD (1991)
All
AD: NIA-RI and CERAD (1988)
DLB 22
DLB: consensus criteria (1996)
LB: H + E, ubiquitin (1996) synuclein (2005)
Hanyu et al ., 2009 [[29]]
AD 111
Memory Clinic of Tokyo Medical University, 2000 to 2006, Japan
 
0
AD: NINCDS/ADRDA (1984)
DLB 56
DLB: consensus criteria (1996)
Nelson et al ., 2009 [[16]]
AD 107
National Alzheimer’s Coordinating Center (NACC) Registry - 31 AD centers in USA,
AD: NIA-RI
All
AD: CERAD (1988)
AD/DLB 27
University of Kentucky Alzheimer’s Disease Center, USA
LB: Braak staging and CERAD
DLB: consensus criteria (1996)
DLB 9
Wood et a l., 2012 [[30]]
AD 16
Newcastle University, UK
 
0
AD: NINCDS/ADRDA (1984)
DLB 12
DLB: consensus criteria (2005) or (1996)
Walker et al . 2012 [[31]] AD 100
40 European sites 123I-FTP-SPECT as verifying method 0 AD: NINCDS/ADRDA (1984)
DLB 58 DLB: consensus criteria (1996)

AD, Alzheimer’s disease; ADRC, Alzheimer’s Disease Research Center; CERAD, The Consortium to Establish a Registry for Alzheimer's Disease; CFV, creasyl fast violet; DLB, dementia with Lewy bodies; H + E, hematoxylin and eosin staining; I-FTP-SPECT, ioflupane single-photon emission computed tomography; LB Lewy body; LBV, Lewy body variant; LBP, Lewy body pathology; NIA-RI, National Institute on Aging-Reagan; NINCDS/ADRDA, National Institute of Neurological and Communication Disorders and Stroke/Alzheimer’s Disease and Related Disorders Association; SDLT, senile dementia of Lewy body type; SN, substantia nigra.

4 Discussion

In the 18 studies included in this review, no consistent faster rate of decline in DLB as compared to AD on cognitive screening tests was found. When combining studies that used MMSE, the most frequently used scale, a meta-analysis revealed no difference in the annual rate of cognitive decline. There were mixed findings on decline in specific cognitive domains. Two of six studies of memory found a more rapid decline in AD. Only one of seven studies of executive function found a more rapid decline in DLB, and differences in visuospatial or language tests were not found. The hypothesis of a more rapid cognitive decline in autopsied patients with both AD and DLB pathology was supported in three studies. However, findings were inconsistent and other studies did not find differences.

Differences in methods such as selection criteria, design, neuropsychological tests, dementia severity, diagnostic procedures and criteria can explain the diverse findings and lack of firm conclusions. However, quality assessment did not reveal any systematic differences between studies with high or low quality scores. There were large differences in sample sizes (n = 28 to 315), and the studies that could not be included in the meta-analysis or used other tests than MMSE, thus, may have had varying statistical power to detect significant differences between groups. To be able to compare the overall results and draw some general conclusions it would have been ideal that uniform diagnostic criteria had been used in all the studies. Some of the studies initially included patients with a clinical diagnosis of AD only, where analyses were based on autopsy diagnosis which included both AD and DLB.

A common weakness in the included studies was the choice of neuropsychological measures. When studying cognitive decline over time, cognitive tests that are designed for a specific cognitive domain are required. Screening tests or batteries that use a total score only, often designed for purposes other than research are less suitable. In this review, the MMSE was the most used test, either alone, or in combination with others. The MMSE may not be an optimal measure, especially when using only the total score and not separate subscores for different cognitive domains, as AD and DLB have different cognitive profiles at onset [32]. This difference in cognitive profile leads to difficulties in choosing an optimal cognitive screening instrument to compare AD and DLB. The MMSE is heavily based on memory and language and is thus more sensitive to changes in AD than in DLB [33]. DLB is associated with a more severe visuospatial deficit than AD [32],[34], but only 1 of 30 points on the MMSE comes from a measure of visuospatial functioning. MMSE may also be less than optimal because of the ceiling and floor effect [35], which refers to a test being too easy or too difficult to discriminate below or above a certain point, which is a common problem when testing people with dementia. In one of the reviewed studies the children’s version of the Wechsler intelligence scale was used to avoid this. The test then lacks age adjusted norms, but it gains a wider range in scores, and therefore can monitor the cognitive decline over a longer period of time. Studies differed also with regard to the time period of observation, from 1 to 20 years. In studies with short follow-up periods, the MMSE may not be a reliable measure, as Clark, Sheppard, Fillenbaum et al. (1999) [36] have argued that MMSE registrations need to be separated by at least three years in order to be a reliable measure of cognitive decline in AD.

Only few studies investigated, or reported, subgroups with different cognitive profiles in DLB. It could be due to a low number of cases in several studies, and subsequent low statistical power. People die from dementia or reach an endpoint where they are not capable of performing cognitive tests, and therefore in several studies there was a lower number of patients towards the end of the study. This is challenging when performing statistical analysis. Our search did not cover the issue of subgroups with different cognitive profiles thoroughly, as we only included studies comparing DLB with AD, and not studies describing cognitive decline in DLB and potential subgroups alone. However, there are some data that support the hypothesis that there are subgroups in DLB with different cognitive profiles, and subgroups with poor initial visuospatial function may have a more rapid decline than DLB with good visuospatial function [28].

Due to overlapping symptoms, it can be difficult to determine the correct diagnosis ante mortem between the pure form of AD, mixed AD/DLB and the pure form of DLB. Because clinical criteria cannot distinguish with certainty the individual pathology, the gold standard for validating the clinical assessment is neuropathological diagnosis. Clinical criteria may have a low sensitivity in particular for DLB, which could have been a source of bias in studies that did not include a neuropathological validation of the diagnosis. However, dementia is a clinical diagnosis and both AD and DLB pathology can be found also in cognitively normal elderly subjects. In one study with autopsy, 50% of cases with widespread α-synucleinopathy did not show any clinical signs of dementia [37].

In most studies with autopsy, consensus neuropathological criteria were used. Even though not all included studies used consistent and the same neuropathological methods and criteria, and many also used varying combinations, use of post-mortem verification at least increases the validity of the clinical diagnosis.

It is also important to mention that the sensitivity for detecting Lewy bodies has increased with anti-ubiquitin immunostaining, where tau-positive samples indicate Alzheimer’s pathology. Anti-α-synuclein immunostaining has been incorporated in the assessment, which is most sensitive for Lewy body pathology [2]. Thus, the neuropathological identification of cases may have been less accurate before the new methods were established, and more reliable staging strategies have been developed [38].

A complicating issue is the frequent occurrence of mixed pathology [39], and to underline the complexity of dementia and its pathology, at least four distinct pathological phenotypes have been identified between AD and DLB [40]. According to Schneider et al. (2012) [7], the locus of neuropathology is associated with a faster decline in cognition. A neocortical type of Lewy body pathology is associated with increased odds of dementia and a faster decline in episodic, semantic and working memory. The limbic-type is more associated with more rapid decline in visuospatial function. Olichney et al. (1998) [3], concluded that patients with Lewy body variant decline faster than patients with Alzheimer’s disease. This statement has often been used with reference to rapid progression in DLB, but it actually refers to an AD variant with Lewy body pathology, not to pure DLB. It should be emphasized that it is still uncertain whether AD and DLB are two independent pathologies that may coexist, or the pathologies are related, or one of them is a consequence of the other.

5 Conclusion

Only 6 of the 18 included studies in this review found some differences in cognitive decline between DLB and AD over time, and only one of them found a faster decline in DLB. It is difficult to draw firm conclusions based on available studies, since the results are contradictory. Future studies will need to apply recent diagnostic criteria, as well as extensive diagnostic evaluation and autopsy to confirm the diagnosis. Studies with large enough samples, adapted cognitive tests, more than one year of follow up and multivariate statistical analysis are also needed. Inclusion of mild cognitive impairment patients, with subclinical manifestations and an increased risk of developing DLB (for example, who present rapid eye-movement (REM) sleep behavior disorder) could also strengthen the studies. Our final conclusion is that the studies in this review support neither the hypothesis of a faster cognitive decline in DLB, nor in AD.

Abbreviations

AD: Alzheimer’s disease

ADL: activities of daily living

CAMCOG: Cambride cognitive examination

CDT: clock drawing test

CERAD: Consortium to Establish a Registry for Alzheimer’s Disease evaluation

DLB: dementia with Lewy bodies

DRS: dementia rating scale

HVLT-R: Hopkins verbal learning test-revised

MMSE: mini mental state examination

NEVIP: Newcastle visual perception battery

NINCDS/ADRDA: National Institute of Neurological and Communication Disorders and Stroke/Alzheimer’s Disease and Related Disorders Association

SPECT: ioflupane single-photon emission computed tomotgraphy

WISC-R: Wechsler intelligence scale for children-revised

Competing interests

Dag Aarsland has received research support and honoraria from H Lundbeck, Novartis Pharmaceuticals and GE Health. None of the other authors have competing interests.

Authors’ contributions

MHB and LJC have made the conception and design, data acquisition, analysis and interpretation of data, and drafted the manuscript. AR, MJH, CJ, KB and DA have contributed to the analysis and interpretation of data, and revised the manuscript critically for important intellectual content. KB also performed the meta-analysis. All authors have read and approved the final version of the manuscript.

Contributor Information

Monica H Breitve, Email: monica.breitve@helse-fonna.no.

Luiza J Chwiszczuk, Email: luiza.chwiszczuk@helse-fonna.no.

Minna J Hynninen, Email: minna.hynninen@psykp.uib.no.

Arvid Rongve, Email: arvid.rongve@helse-fonna.no.

Kolbjørn Brønnick, Email: bronnick@gmail.com.

Carmen Janvin, Email: carmen.janvin@gmail.com.

Dag Aarsland, Email: daarsland@gmail.com.

Acknowledgement

We want to thank the librarian in Helse Fonna, Tonje Velde, for helping us with the systematic literature search.

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