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Erschienen in: BMC Neurology 1/2016

Open Access 01.12.2016 | Database

A profile of The Clinical Course of Cognition and Comorbidity in Mild Cognitive Impairment and Dementia Study (The 4C study): two complementary longitudinal, clinical cohorts in the Netherlands

Erschienen in: BMC Neurology | Ausgabe 1/2016

Abstract

Background

Heterogeneous disease trajectories of mild cognitive impairment (MCI) and dementia are frequently encountered in clinical practice, but there is still insufficient knowledge to understand the reasons and mechanisms causing this heterogeneity. In addition to correlates of the disorder, patient characteristics such as their health status, social environment, comorbidities and frailty may contribute to variability in trajectories over time. The current paper outlines the study design and the study population of and provides an overview of the data collected in the Clinical Course of Cognition and Comorbidity in Mild Cognitive Impairment (4C-MCI cohort, n = 315) and Dementia (4C-Dementia cohort, n = 331) Study.

Methods

The two complementary longitudinal cohorts part of the 4C study began enrolment in March 2010. Participants were prospectively recruited from three collaborating Dutch Alzheimer Centers, with three annual follow-up assessments after baseline. Extensive neuropsychological assessments, and detailed profiling of comorbidities, health and frailty at each follow up were the key features of the 4C study. As such, the 4C study was designed to study if and how patients’ comorbidities and frailty are associated with the course of MCI and dementia measured with a comprehensive and multidimensional set of outcomes including cognition, daily functioning, quality of life, behavioral disturbances, caregiver burden, institutionalization and death and whether the effects of medical health and frailty differ between MCI and dementia stages of cognitive disorders.

Conclusion

Sampled in a clinical setting, the 4C study complements population-based studies on neurodegenerative disorders in terms of the type of assessment (e.g. comorbidity, frailty, and functional status were repeatedly assessed). The 4C study complements available clinical cohorts of MCI and dementia patients, because the exclusion criteria were kept to a minimum, to obtain a sample that is representative for the average patient visiting a memory clinic.
Abkürzungen
(I)ADLs
(Instrumental) activities of daily living
4C Study
The Clinical Course of Cognition and Comorbidity in Mild Cognitive Impairment and Dementia Study
AD
Alzheimer’s disease
CDR
Clinical Dementia Rating scale
CIRS-G
Cumulative Illness Rating Scale for Geriatrics
DAD
Disability Assessment for Dementia
EQ5D
EuroQoL-5D
GDS-15
Geriatric Depression Scale-15
MCI
Mild cognitive impairment
MMSE
MiniMental State Examination
N.A.
Not applicable
NPI
Neuropsychiatric Inventory
SCD
Subjective cognitive decline
SCWT
Stroop Color Word Test (3 subtasks)
SD
Standard deviation
TMT
Trail Making Test (part A & B)
VAS
Visual Analogue Scale
VLT
15-Word Verbal Learning Test

Background

Dementia is a syndrome of impaired cognitive functioning that interferes with living independently. It is a global public health issue with numbers of people suffering from dementia estimated to increase from 46.8 million in 2015 to 74.7 million in 2030, and to 131.5 million in 2050 worldwide [1]. Mild cognitive impairment (MCI) is a state of impaired cognitive performance that does not significantly interfere with independent living and is a risk factor for developing dementia. Both in MCI and dementia, progression over time varies tremendously among patients. Some patients with MCI progress precipitately after the diagnosis, whereas a substantial proportion of patients does not develop dementia even after a prolonged period of up to 10 years [2]. In the stage of a clinically manifest dementia syndrome, studies have shown huge differences in rate of decline over time, even within a well-characterized cohort of persons with dementia of the Alzheimer type [3]. Understanding the causes leading to heterogeneous trajectories is essential for healthcare professionals to deliver personalized care and to maximally delay the progression of the condition. However, current knowledge cannot explain the phenotypical heterogeneity present in patients. Part of the heterogeneity in dementia presentation might be attributed to different etiologies, such as (the combination of) Alzheimer’s or vascular pathology. To further increase our understanding of the observed heterogeneity, a theoretical framework has been developed that posits dementia as a multi-causal, complex and dynamic disorder with involvement of many body systems/organs at different levels, rather than a disease with a single pathology [4]. The majority of patients with MCI and dementia are aged and may experience different levels of frailty and suffer from a considerable number of comorbidities that may affect clinical phenotype [59], How these patient characteristics influence the development and prognosis of the disorder is largely unknown. With the aim to evaluate the impact of comorbidity and frailty on the course of MCI and dementia, the Clinical Course of Cognition and Comorbidity in Mild Cognitive Impairment and Dementia Study (4C study) was conducted. The current paper outlines the study design, the study population and an overview of the data collected.

4C study research objectives

As part of the 4C study two complementary multicenter longitudinal cohorts were sampled in the Netherlands, with the following research objectives:
1.
Explore heterogeneity in trajectories of progression in multiple outcomes, survival and institutionalization, as well as conversion rates (MCI to dementia and back and between different nosological subtypes) in persons with newly diagnosed MCI and dementia;
 
2.
Investigate whether comorbidity (number and severity of chronic comorbidities and presence of certain comorbidities) and frailty influenced the course and outcome of MCI and dementia;
 
3.
Investigate predictors of transitions (conversions, institutionalization, death) as well as compare outcome trajectories right before and after transitions.
 
4.
Investigate predictors and outcome trajectories of persons who did not convert from MCI to dementia and who were not institutionalized
 
5.
Develop prognostic rules for conversion and individual decline in cognition, behavior, and daily functioning, institutionalization and death.
 
These research objectives are studied both in the separate samples of MCI and dementia as well as in the combined sample to evaluate differences between these stages of increasingly severe cognitive decline.

Construction and content

Study design and participants

The MCI and Dementia cohort of the 4C study were similar in study design and implementation, but were conducted in different disease stages. Both cohorts aimed to enroll 300 participants at baseline, equally from the three participating centres Alzheimer Center of the VU University Medical Center Amsterdam, Alzheimer Centre Limburg of the Maastricht University Medical Center and Radboudumc Alzheimer Center, Radboud university medical center. The departments hosting the three memory clinics have a background in neurology (Amsterdam), old age psychiatry (Maastricht) and geriatric medicine (Nijmegen).
The study base of this cohort study were all persons referred to one of the three memory clinics by their primary care physician or referring medical specialist. The inclusion period ran from the March 2010 until May 2011. All consecutive referrals were prospectively evaluated for study eligibility during that period.
People with a new diagnosis of dementia made during this memory clinic visit were eligible for the Dementia cohort. Patients who had subjective cognitive decline or objective cognitive impairments based on neuropsychological test results, but did not fulfill the diagnostic criteria for dementia were eligible for the MCI cohort. The exact eligibility criteria for the 4C–MCI and the 4C–Dementia cohorts are shown in Table 1. As such the inclusion was broader than in most studies on MCI and dementia since comorbidities were allowed, thus resulting in a patient sample that was more representative for regular patient groups.
Table 1
Eligibility criteria for the 4C Study
Inclusion criteria
The 4C–MCI cohort
The 4C–Dementia cohort
 • Cognitive performance
subjective cognitive complaints and/or objective cognitive impairments
objective cognitive impairments
 • Fulfil the DSM-IV diagnostic criteria for dementia [12]
No
Yes
 • Clinical Dementia Rating (CDR) Scale [34]
0–0.5
0.5–2
 • Mini Metal State Examination (MMSE) score [35]
Not specified
≥10
 • Age
≥ 55 years
Not specified
Exclusion criteria (similar for both cohorts)
  
 • The absence of a reliable informant (who has contact with the participant for at least once a week);
 • If the participant was expected unable to have at least one follow-up based on clinical judgment of the physician responsible for the care of the patient at the memory clinic;
 • The presence of other neurological disorders that could cause cognitive impairment or affect cognitive performance, such as Parkinson’s Disease, Huntington’s Disease, Normal Pressure Hydrocephalus (NPH), Korsakov’s syndrome, and a medical history of brain tumour, encephalitis or epilepsy. However, participants suffering from other cerebrovascular or psychiatric disorders were included in the studies.
The clinician responsible for the care during the memory clinic visit asked whether patients would be willing to consider participation in the 4C study. If so, they were provided with written study information and a visit was scheduled with a research assistant to obtain written informed consent from the participant and an informant and to complete the baseline assessments. In order to be eligible, an informant had to be available and have contact with the participant for at least once a week. Almost all informants (about 90%) were either the participant’s partner or offspring, often also serving in a caregiving role. Not all participants had an informant who provided care that qualified as informal caregiving. However, if such a person could be identified, this person was asked as the informant. As a rule the same informant participated across the follow ups. In a small number of cases exceptions were allowed to minimize missings.

Data collection

The participants were scheduled to have three annual follow-ups after the baseline measurement during visits at the memory clinic. Annual follow-ups had to be conducted within a 3 months’ time frame around the dates of an annual schedule. The last assessment in the participants who last entered the study was conducted in August 2014. The flowcharts for both cohorts are shown in Figs. 1 and 2.
A multidisciplinary team consisting of physicians, neuropsychologists and research assistants collaborated in the standardized collection of the baseline and follow up data with the patient and the informant. As such, the multidisciplinary team (led by a consultant neurologist, psychiatrist or geriatrician respectively) responsible for the clinical care of the participant at the memory was also responsible for the research data collection. Data were collected on demographics, syndrome diagnosis, cognitive functioning, health conditions, functional abilities, neuropsychiatric symptoms, quality of life, and care resource use. An overview of the collected data per measurement, who was the source of the information and who collected the information is presented in Table 2. The assessor scored the reliability of the participant’s answers.
Table 2
Contents of data collection in the 4C studies
 
Baseline
12 months
24 months
36 months
Assessed by
Source
Informed consent
   
Research assistant
Participant and informant
Demographics
Research assistant
Participant and informant
MMSE [35]
Physician
Participant
CDR [34]
Physician
Participant and informant
Subjective cognitive functioning [17]
Physician
Informant
Neuropsychological assessment
Psychologist
Participant
Physical examination & structural medical review
Physician
Participant and informant
Medications (prescribed & taken)
Physician
Participant and informant
Hospitalization (if any)
 
Research assistant
Participant and informant
Syndromal diagnoses
Physician
Participant and informant
Comorbidities (CIRS-G) [18]
Physician
Participant and informant
Frailty (Fried criteria + Frailty Index) [19, 20]
Research assistant
Participant and informant
DAD (disability assessment) [21]
Research assistant
Informant
GDS-15 (depression, self-reported) [22]
Research assistant
Participant
NPI (neuropsychiatric symptoms) [23]
Research assistant
Informant
Euroqol 5D [24]
Research assistant
Informant
Care resource use
Research assistant
Informant
Refusal or withdrawal data
Research assistant
Participant and informant
Institutionalization (outcome & date)
 
Research assistant
Participant and informant
Death (outcome & date)
 
Research assistant
Informant
In order to minimize the dropout rate, home visits by a researcher trained as a psychologist were implemented for those participants who were willing to continue participation in the study but unable to visit the memory clinics. In case participants needed an institutionalization, they continued with the study. The possibility to do the follow up assessment during a home visit also facilitated this.

Syndrome diagnosis of MCI and dementia

Syndrome diagnoses were made at baseline and reviewed at every follow-up visit based on clinical assessment by the physician and the multidisciplinary team. For the minority of cases in whom the follow up assessments were operationalized as a home visit, the diagnosis review was determined by a physician from the research data. The diagnosis of MCI was based on Petersen criteria [10] and was operationalized as a z-score lower than -1.5 SD (Dutch norm) on any of the cognitive tests (see below). Subjects with cognitive complaints without such a verified impairment on cognitive tests were categorized as subjective cognitive decline (SCD) [11]. The diagnosis of dementia was based on DSM-IV criteria [12]. Nosological dementia diagnoses were made according to standardized clinical criteria for AD (NINCDS-ADRDA criteria [13]), vascular dementia (NINDS-AIREN criteria [14]), frontotemporal dementia [15], and dementia with Lewy bodies [16].

Cognitive assessment

Data about the self-reported onset (gradual or sudden), course (stable, fluctuating or progressively deteriorated) and duration of the cognitive complaints were collected. In addition, patients were asked whether they had noticed a change in four cognitive functions (memory, concentration, mental capacity, and vitality) during the last year [17]. Change in each function was scored on a 7-point Likert scale ranging from -3 (very strong decline) to +3 (very strong improvement). If the participant was unable to answer by himself, the informant reported it based on daily contact and observation.
The neuropsychological assessment consisted of the same standardized battery of cognitive tests as used in the Dutch Parelsnoer Instituut (www.​parelsnoer.​org), covering the following domains: global cognition, episodic memory, implicit visual learning, working memory, word fluency, information processing speed, attention, executive functioning and visual perception (Table 3) [17].
Table 3
Standardized cognitive tests and the corresponding domains
Cognitive domain(s)
Neuropsychological tests
Global cognition
Mini Mental State Examination (MMSE) [35]
Episodic memory
15-Word Verbal Learning Test (VLT) immediate recall (5 trails), delayed recall and delayed recognition [36]
Implicit associative visual learning
Visual Association Test (VAT), short version [37]
Working memory
Digit Span subtest (forwards and backwards) of the Wechsler Adult Intelligence Test (3rd Edition) [38]
Verbal word fluency/semantic memory
60 s animal fluency [39]
Information processing speed
Letter Digit Substitution Test (LDST) [40]
Information processing speed, attention and executive functioning/response inhibition
Stroop Color Word Test (SCWT) [41]
Information processing speed, attention and executive functioning/concept shifting
Trail Making Test (TMT) parts A & B [42]
Visual perception
Visual Object and Space Perception battery (VOSP, Optional) Subtests of dot counting and incomplete letters [43]

Further assessments and questionnaires

Height, weight, and, waist circumference, systolic and diastolic blood pressure of the participants were recorded. Smoking and drinking status, the type, quantity and frequency of tobacco and alcohol consumption were asked. The physician structurally reviewed the patient’s personal medical history at baseline, and particularly queried extrapyramidal symptoms, gait disturbances, and family history. Newly diagnosed diseases were updated at every follow-up visit, also recording any taken medication and each hospitalization (Table 4).
Table 4
Structural medical review of participant’s health conditions
Body systems
Concerned diseases
Cardiovascular
angina, myocardial infarction, angioplasty/stent, coronary bypass surgery, carotid stenosis, hypertension, heart failure, others
Cerebrovascular
transient ischemic attack (TIA), cerebrovascular accidents (infarction, bleeding), reversible ischemic neurologic deficit (RIND), others
Endocrinal
diabetes mellitus, hypothyroidism, hyperthyroidism, obesity, others
Psychiatric
depression, psychosis, delirium, others
Somatic
chronic obstructive pulmonary disease (COPD), kidney problems, liver problems, others
Medications
the names, doses, frequencies and the indications of the medications
Hospitalization
the primary diagnosis, acute or routine medical care, the treating department, the total number of nights spent in the hospital
The Cumulative Illness Rating Scale for Geriatrics (CIRS-G) was used to further quantitatively measure disease burden and reflects the number and severity of the diseases [18]. Using CIRS-G, all diseases were classified into 14 organ systems: cardiac (heart only), vascular, hematologic, respiratory, ophthalmologic and otorhinolaryngologic, upper gastrointestinal, lower gastrointestinal, hepatic and pancreatic, renal, genitourinary, musculoskeletal and tegumental, neurologic, endocrine/metabolic and breast, and psychiatric. If a patient had multiple diseases in a single category, the most severe one was appraised. The severity of impairment was rated with a 0–4 grading scale from no problem to extremely severe problem (e.g. organ failure) resulting in a total score ranging from 0 to 56. The CIRS-G can be adapted as a measure of pure physical functioning in the 4C studies by excluding the psychiatric category, since this category includes cognition related comorbidities. The total score runs from 0 to 52.
Frailty was operationalized using the five physical criteria developed by Fried (2001) [19]. To that aim, grip strength (dominant hand, average of two measures) was measured using a Jamar® hand dynamometer and gait speed while walking at usual speed across 4.5 m (average of two measures). Unintentional weight loss and fatigue (two questions of Center for Epidemiologic Studies Depression Scale (CES-D)) were evaluated using questionnaires. Impaired physical activity was evaluated by asking whether the participant yes or no exercised, performed household chores, did odd jobs around the house or gardened. If they did any of these, this item was scored as not impaired. If participants did not engage in any of these activities they were asked to rate the time per week engaged in biking or walking. Multiplying these estimates by 4 and 3.5 kcal/min respectively and summing them resulted in the estimated weekly energy expenditure related to biking and walking. If this estimate was below 393 or 280 kcal/week for men and women respectively, physical activity was scored as impaired. A frailty index based on accumulated deficits also was operationalized from the 4C data [20].
The Disability Assessment for Dementia (DAD) scale, measuring both basic and instrumental activities of daily living (ADL, IADL), was used to evaluate the severity of impairment in everyday functioning through a structured interview with the informant [21]. The participants’ abilities to perform ten different (I)ADL activities in the 2 weeks prior to the assessment were rated. The final DAD score was converted to a percentage from 0 to 100, in which a higher percentage indicates a higher level of daily functioning.
The 4C study used the Geriatric Depression Scale (GDS-15) to assess the presence and severity of depressive symptoms in older persons [22]. The Neuropsychiatric Inventory (NPI) was used to characterize the psychopathology of the patient through a structured interview with the informant, assessing 12 common neuropsychiatric symptoms [23]. A screening question for each neuropsychiatric symptom was asked to confirm the presence of the symptom before rating the frequency (1–4, rarely–very often), severity (1–3, mild–severe), and burden (0–5, not at all-extremely) for the informant. The total NPI score ranged from 1 to 144.
The EQ-5D was used to measure health-related quality of life and results in a score of 0–100, where higher scores indicate better functioning [24]. The EQ-5D was rated by the patient and by the informant: for the situation of the patient and for the informant him-/herself.
Besides patient and disease related data, also data about the patient’s care resource use was investigated by assessing the number of visits to the general practitioner, home care, day care, institutionalized care, hospital in- and outpatient, emergency care, other professionals, informal care, medical goods, and out-of-pocket expenditures using an informant questionnaire.

Refusal or withdrawal, minimum but essential data collected for research

The reasons for dropout were collected and categorized. The attrition is shown in the flowchart of Figs. 1 and 2. With their consent, the study investigators made efforts to collect minimal but essential study data through a telephone interview when the participant (or informant) wanted to discontinue their full participation. Researchers asked about the course of cognitive symptoms, functional abilities in (I)ADLs (any help or assistance needed in certain activities), and global severity of dementia (CDR). If the participant had received a diagnosis of MCI or dementia from another physician, the syndrome diagnosis was documented. Despite the participant’s refusal to participate in a particular follow-up assessment, some patients agreed to be approached at the next follow up and did return to fully participate in the studies, as shown in Figs. 1 and 2.

Adaptations of study protocol and implementation

Some changes to the original research protocol were made for better implementation and completion of the studies. Based on the experiences of baseline interview, an evaluation of the reliability of information provided by the participant and the informant was added to the follow up assessments.
As a default, the assessments were carried out in the memory clinics. However, for some participants, it was inconvenient to visit the memory clinic due to immobility or other physical conditions. Where possible, home visits (to the patient’s house or nursing home) were implemented in the follow-ups and carried out by a well-trained researcher, to limit study attrition.

Utility and discussion

Results

In the MCI and dementia cohort, 315 and 331 participants were included respectively. Noticeably, more men than women were recruited in the MCI cohort (Table 5), consistently across the three centers, whereas more women were recruited in the Dementia cohort, except in Amsterdam. Participants in the MCI cohort were 5.2 years younger, and had better cognitive performance, functional abilities, physical condition and quality of life, but had higher depression scores on average than those in the Dementia cohort at baseline (Table 6).
Table 5
Baseline demographic characteristics of the participants in the 4C Study
N (%), unless stated differently
4C-MCI cohort (n = 315)
4C-Dementia cohort (n = 331)
Age at baseline (years, mean ± SD)
69.7 ± 8.5
74.9 ± 10.2
Female sex
111 (35)
182 (55)
Caucasian
311 (99)
326 (98)
Education
 Low (lower than middle school)
126 (40.0)
142 (44.1)
 Middle (high school/vocational education)
78 (24.8)
90 (28.0)
 High (university)
111 (35.2)
90 (28.0)
Marital Status
 Married/registered partnership, cohabiting
244 (77.5)
202 (61.2)
 Widow/widower
42 (13.3)
93 (28.2)
 Single, divorced
29 (9.2)
35 (10.6)
Living situation
 Alone, independently
59 (18.7)
100 (30.5)
 With partner and/or children
242 (76.8)
205 (62.5)
 Institutionalized living
9 (2.9)
21 (6.4)
 Others
5 (1.6)
2 (0.6)
Informant’s relation with the participant
 Partner
224 (71.1)
179 (54.4)
 Offspring
60 (19.5)
115 (35.0)
 Sibling
7 (2.2)
10 (3.0)
 Other relative or acquaintance
23 (7.3)
25 (7.6)
Table 6
Baseline cognitive, physical and functional characteristics and quality of life of the participants in the 4C Study
Mean ± SD, unless stated differently
4C-MCI cohort (n = 315)
4C-Dementia cohort (n = 331)
Subclassification cognitive disorder, N (%)a
 Subjective cognitive decline
90 (29)
n.a.
 Amnestic MCI
151 (48)
n.a.
 Non-amnestic MCI
71 (23)
n.a.
 Alzheimer’s disease (probable or possible)
n.a.
216 (65)
 Vascular dementia or any dementia diagnosis with a vascular component
n.a.
71 (21)
 Any other dementia diagnosis without a vascular component
n.a.
44 (13)
Self-reported duration of cognitive problems (years)
3.3 ± 3.8
3.1 ± 2.6
Self-reported course of cognitive problems, N (%)
 Progressive
213 (67.6)
285 (89.1)
 Stable
40 (12.7)
14 (4.4)
 Fluctuated
33 (10.5)
21 (6.6)
Cognitive functionsb
 MMSE (range 0–30, lower is worse)
26.9 ± 2.6
21.9 ± 3.7
 VLT immediate recall (z-score, lower is worse)
−1.1 ± 1.2
−2.3 ± 1.1
 VLT delayed recall (z-score, lower is worse)
−1.2 ± 1.3
−2.4 ± 0.9
 60 s animal fluency (z-score, lower is worse)
−0.7 ± 0.8
−1.7 ± 0.9
 TMT-A (z-score, lower is worse)
−0.3 ± 1.4
−1.7 ± 1.9
 TMT-B (z-score, lower is worse)
−0.4 ± 1.3
−1.8 ± 1.4
 SCWT card 1 + 2 (z-score, lower is worse)
−1.2 ± 1.7
−2.8 ± 2.5
 SCWT card 3 (z-score, lower is worse)
−1.2 ± 2.4
−3.5 ± 3.2
Neuropsychiatric symptoms
 GDS-15 (range 0–15, higher is worse)
3.6 ± 2.8
3.1 ± 2.7
 NPI (range 0–144, higher is worse)
14.5 ± 15.0
16.3 ± 16.3
BMI (kg/m2, mean ± SD)
26.2 ± 3.9
25.9 ± 4.3
DAD (range 0–100, lower is worse)
86.7 ± 15.7
70.8 ± 24.1
CIRS-G
 Total score (range 0–52c, higher is worse)
7.09 ± 4.87
7.48 ± 4.94
 Severity index (total score/number of categories endorsed, range 0–4, higher is worse)
1.57 ± 0.51
1.63 ± 0.55
 Comorbidity index (number of categories with score ≥2, range 0–13, higher is worse)
2.25 ± 1.93
2.37 ± 1.90
CIRS-G category with score ≥2 (at least moderate disability or morbidity/requires “first line” therapy), N (%)
 Heart
92 (29.2)
90 (27.3)
 Vascular
144 (45.7)
170 (51.5)
 Hematopoietic
12 (3.8)
25 (7.6)
 Respiratory
74 (23.5)
54 (16.4)
 Eyes/ears/nose/throat
54 (17.1)
72 (21.8)
 Upper gastrointestinal
48 (15.2)
43 (13.0)
 Lower gastrointestinal
28 (8.9)
35 (10.6)
 Liver
20 (6.3)
21 (6.4)
 Renal
15 (4.8)
19 (5.8)
 Genitourinary
57 (18.1)
75 (22.7)
 Neuromuscular
40 (12.7)
70 (21.2)
 Neurological
75 (23.8)
48 (14.6)
 Endocrine
49 (15.6)
59 (17.9)
Frailty according Fried Criteria, N (%)
 Not frail (≤1 of 5 criteria satisfied),
219 (74.7)
224 (68.9)
 Pre-frail (2 of 5 criteria satisfied)
44 (15.0)
55 (16.9)
 Frail (≥3 of 5 criteria satisfied)
30 (10.2)
46 (14.2)
EQ-5D (with Dutch weights) (range 0–1, lower is worse)
0.98 ± 0.06
0.81 ± 0.20
EQ-5D VAS (range 0–100, lower is worse)
69.4 ± 15.6
67.5 ± 16.9
a3 (1% of 315) participants in the 4C MCI cohort with MCI could not be classified as amnestic versus non-amnestic MCI due to missing 15-Word Verbal Learning Test scores
bDespite the application of the Petersen criteria for definition of MCI, mean cognitive scores on the different domains may be above -1.5 SD of the Dutch norm scores, because people with SCD were included in the 4C MCI cohort, but do not satisfy the MCI criteria, also MCI patients were not required to score below -1.5 SD on all domains assessed
cthe range of the CIRS-G is 0–52 rather than 0–56, as the psychiatric domain was left out of the scale to create a measure of purely physical comorbidity
Of 315 participants in the 4C-MCI cohort, 90 (29%) had subjective cognitive decline and 151 (48%) had amnestic MCI. Of 331 participants in the 4C dementia cohort, 216 (65%) had probable or possible AD. The majority of the participants experienced a progressive cognitive decline in the phase before the baseline diagnosis, namely 68% in the MCI cohort, and 89% in the Dementia cohort, starting at about 3–3.5 years on average before entering in either cohort. Episodic memory was the most severely impaired cognitive domain among MCI patients, whereas among dementia patients, multiple cognitive functions were severely impaired, especially executive functioning, attention and information processing speed.
By quantitative measures of disease burden (CIRS-G), vascular diseases were the most frequent and most severe comorbid category in both cohorts. The total CIRS-G score leaving out the category of psychiatric illness was higher in the dementia than in the MCI cohort. For the AD patients in the dementia cohort, it was found that comorbidities were associated with cognitive performance; frailty was associated with functional abilities at baseline [25]. Comparing older and younger persons with dementia contrasting persons from the 4c Dementia cohort data with persons from the NeedYD cohort [26], showed that younger persons had less comorbidity and may more often have neurological comorbidities than older persons with dementia [27]. Further studies into the relationship of cognitive decline with comorbidity and frailty are underway. In addition to the objectives described earlier, these will focus on determinants of health-related quality of life and gait speed and grip strength as predictors of cognitive decline in the MCI cohort.
The most prevalent neuropsychiatric symptoms reported by the informants in the MCI cohort were irritability (51%, average score 5.4 out of 12 in NPI), apathy/indifference (44%, 5.3) and depression/dysphoria (41%, 4.7). These neuropsychiatric symptoms were also most common in the dementia cohort, with different rankings: apathy/indifference (51%, 6.5), depression/dysphoria (38%, 5.3), irritability (36%, 5.3). When it occurred, agitation and aggression (mean 3.3; SD 1.13) was most burdening for informants in the MCI cohort. This was also the most burdening symptom in the Dementia cohort (3.0 ± 1.3).
After 3 follow-ups, 23 subjects (23/90, 26%) classified as SCD at baseline were reclassified as MCI, 23 subjects (23/225, 10%) with MCI reverted to SCD, and 74 subjects (10 subjects with SCD at baseline and 64 subjects with MCI at baseline) progressed to different types of dementia (Table 7). The annual incidence of MCI subjects progressing to dementia was 11% (32/278) in the first 12 months, 7% (18/260) between 12 and 24 months and 10% (24/236) between 24 and 36 months of follow up. In the dementia cohort, 91 patients (27%) received at least one different (nosological) diagnosis of dementia during the follow-ups. Of these 91, three participants were rediagnosed as MCI, and one participant went from dementia to MCI (12 m) and via again dementia (24 m) to SCD (36 m). Thus, in 4 (1.2%) of 331 participants the dementia diagnosis was reconsidered. 16 patients (5%) in the MCI cohort and 75 (23%) in the Dementia cohort died during 36 months of follow-up. Studies to develop and validate prognostic rules from these data are underway.
Table 7
The incidence of MCI subjects progressing to dementia within the study duration
Study time line
Number of subjects
%
MCI conversion to dementia
In the cohort
1 year follow-up
32
278
11.5
2 year follow-up
18
260
6.9
3 year follow-up
24
236
10.1
Total
74
315
23.4

What are the main strengths and weakness?

One of the main questions for the 4C study was whether the interaction with health status would influence the natural disease course of cognitive disorders, and contribute to the heterogeneity of clinical outcomes. Thus, including participants with comorbidity in the study and getting reliable diagnoses of comorbidities were essential strengths of our studies, leading to more representative patient groups. Prospectively sampling diverse participants with natural disease courses from various routine clinical settings (neurology, geriatrics and old age psychiatry departments) who were representative for the MCI and dementia patients regularly seen in memory clinics was another strength. Finally, cognitive functioning is a central feature of MCI and dementia. In the 4C study, in addition to global measures of cognition, a series of standardized and validated neuropsychological tests were available to detail how different cognitive domains changed and to explore the effect of comorbidities on cognitive functioning in different domains over time. While some longitudinal studies focusing on risk factor discovery for dementia onset continue to follow persons who develop MCI and/or dementia, dedicated follow up studies are indispensable to understand the more advanced stages of cognitive decline. As such, the 4C study complements other population-based and clinical MCI and dementia follow up cohorts. In general, population-based (e.g. [28] or [6]) and clinical samples of MCI and dementia (e.g. [29] or [30]) are complementary in that the population-based studies have the advantage of being systematically sampled from well characterized base populations, whereas the clinical samples are able to add more detail in terms of frequency and type/comprehensiveness of assessment. To maximize the combined value of these data [31], initiatives such as IALSA [32] and COSMIC [33] help to identify datasets as well as provide methodologies in their combined analyses.
Discerning typical disease trajectories based on long-term observation and developing prediction models for disease progression would be beneficial for patient care. However, for frontotemporal dementia, dementia with lewy bodies or other types of dementia, due to limited cases, more effort should be made to include more patients in future studies to increase the power or combining the current samples with other studies.
Attrition was the biggest challenge for the 4C study, although it is inevitable due to the nature of the disease and the aged population (see Figs. 1 and 2). In the MCI cohort, 225 of 315 (71%) participants completed all three follow ups (209; 66%) or completed follow ups until the endpoint of death (16; 5%). In the Dementia cohort, 207 of 331 (63%) participants completed all three follow ups (142; 43%) or completed follow ups until the endpoint of death (65; 20%). Another 10 participants died during the 36 months of follow up, but dropped out of the study for one of the other reasons.

Conclusions

Sampled in a clinical setting, the 4C study database complements population-based studies on neurodegenerative disorders in terms of the type of assessment (e.g. comorbidity, frailty, and functional status were repeatedly assessed). The 4C study complements available databases of clinical cohorts of MCI and dementia patients, because the exclusion criteria were kept to a minimum, to obtain a sample that is representative for the average patient visiting a memory clinic. Cognition, functional abilities, resource use and quality of life were the key outcome domains and their longitudinal changes and dynamic relations will be further explored, also related to endpoints such as death and institutionalization.

Acknowledgements

The authors would like to thank all the participants and their informants, research assistants and clinical staffs for their continuous contribution for the 4C studies over years. The authors thank Nico Rozendaal for his help with the design of the database and data management of the 4C cohorts. Research of the VUmc Alzheimer center is part of the neurodegeneration research program of the Neuroscience Campus Amsterdam.

Funding

The 4C studies were supported by Alzheimer Nederland and the VSB foundation. Grant numbers: 2008 3494 (4C-MCI), 2008 3495 (4C-Dementia). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The VUmc Alzheimer Center is supported by Stichting VUmc fonds.

Availability of data and materials

The 4C research group actively encourages and welcomes external collaborations. Data are available for researchers with a specific research question. Interested and potential collaborators are invited to contact the study coordinators (Dr. René Melis Rene.Melis@radboudumc.nl or Dr. Inez Ramakers i.ramakers@maastrichtuniversity.nl).

Authors’ contributions

WL and REH contributed equally to the conception of this manuscript and drafted the manuscript and performed the statistical analyses under the direct supervision of IHR and RJM. All other authors participated in the interpretation of the data and revised drafts of the manuscript for important intellectual content. The data collection was performed and coordinated by REH, NS and SMO under the direct supervision of IHR and RJM. PA, RJM, FRV, and MGO conceived the research questions, designed the study and wrote the study proposal. PS and WMF revised the study proposal for important intellectual content. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.
Not applicable.
The ethical committees of the institutes Alzheimer Centre Limburg of the Maastricht University Medical Center, and Radboudumc Alzheimer Center, Radboud university medical center participating in this study approved the study. The 4C-MCI cohort was assessed by the METC azM/UM (NL25214.068.09/MEC 09-3-038) and the 4C-Dementia cohort by the CMO Arnhem-Nijmegen (CMO 0529, registratienummer 2010/046) respectively. The clinician responsible for the care during the memory clinic visit asked whether patients would be willing to consider participation in the 4C study. If so, they were provided with written study information and a visit was scheduled with a research assistant to obtain written informed consent from the participant and an informant and to complete the baseline assessments.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Prince M, Wimo A, Guerchet M, Ali GC, Wu YT, Prina M. World Alzheimer report 2015: the global impact of dementia - an analysis of prevalence, incidence, cost and trends. London: Alzheimer’s Disease International; 2015. Prince M, Wimo A, Guerchet M, Ali GC, Wu YT, Prina M. World Alzheimer report 2015: the global impact of dementia - an analysis of prevalence, incidence, cost and trends. London: Alzheimer’s Disease International; 2015.
2.
Zurück zum Zitat Visser PJ, Kester A, Jolles J, Verhey F. Ten-year risk of dementia in subjects with mild cognitive impairment. Neurology. 2006;67(7):1201–7.CrossRefPubMed Visser PJ, Kester A, Jolles J, Verhey F. Ten-year risk of dementia in subjects with mild cognitive impairment. Neurology. 2006;67(7):1201–7.CrossRefPubMed
3.
Zurück zum Zitat Leoutsakos JM, Forrester SN, Corcoran CD, et al. Latent classes of course in Alzheimer’s disease and predictors: the Cache County Dementia Progression Study. Int J Geriatr Psychiatry. 2015;30(8):824–32.CrossRefPubMed Leoutsakos JM, Forrester SN, Corcoran CD, et al. Latent classes of course in Alzheimer’s disease and predictors: the Cache County Dementia Progression Study. Int J Geriatr Psychiatry. 2015;30(8):824–32.CrossRefPubMed
4.
Zurück zum Zitat Fotuhi M, Hachinski V, Whitehouse PJ. Changing perspectives regarding late-life dementia. Nat Rev Neurol. 2009;5(12):649–58.CrossRefPubMed Fotuhi M, Hachinski V, Whitehouse PJ. Changing perspectives regarding late-life dementia. Nat Rev Neurol. 2009;5(12):649–58.CrossRefPubMed
5.
Zurück zum Zitat Marengoni A, Rizzuto D, Wang HX, Winblad B, Fratiglioni L. Patterns of chronic multimorbidity in the elderly population. J Am Geriatr Soc. 2009;57(2):225–30.CrossRefPubMed Marengoni A, Rizzuto D, Wang HX, Winblad B, Fratiglioni L. Patterns of chronic multimorbidity in the elderly population. J Am Geriatr Soc. 2009;57(2):225–30.CrossRefPubMed
6.
Zurück zum Zitat Melis RJ, Marengoni A, Rizzuto D, et al. The influence of multimorbidity on clinical progression of dementia in a population-based cohort. PLoS One. 2013;8(12):e84014.CrossRefPubMedPubMedCentral Melis RJ, Marengoni A, Rizzuto D, et al. The influence of multimorbidity on clinical progression of dementia in a population-based cohort. PLoS One. 2013;8(12):e84014.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Leoutsakos JM, Han D, Mielke MM, et al. Effects of general medical health on Alzheimer’s progression: the Cache County Dementia Progression Study. Int Psychogeriatr. 2012;24(10):1561–70.CrossRefPubMedPubMedCentral Leoutsakos JM, Han D, Mielke MM, et al. Effects of general medical health on Alzheimer’s progression: the Cache County Dementia Progression Study. Int Psychogeriatr. 2012;24(10):1561–70.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Boyle PA, Buchman AS, Wilson RS, Leurgans SE, Bennett DA. Association of muscle strength with the risk of Alzheimer disease and the rate of cognitive decline in community-dwelling older persons. Arch Neurol. 2009;66(11):1339–44.CrossRefPubMedPubMedCentral Boyle PA, Buchman AS, Wilson RS, Leurgans SE, Bennett DA. Association of muscle strength with the risk of Alzheimer disease and the rate of cognitive decline in community-dwelling older persons. Arch Neurol. 2009;66(11):1339–44.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Buchman AS, Schneider JA, Leurgans S, Bennett DA. Physical frailty in older persons is associated with Alzheimer disease pathology. Neurology. 2008;71(7):499–504.CrossRefPubMedPubMedCentral Buchman AS, Schneider JA, Leurgans S, Bennett DA. Physical frailty in older persons is associated with Alzheimer disease pathology. Neurology. 2008;71(7):499–504.CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E. Mild cognitive impairment: clinical characterization and outcome. Arch Neurol. 1999;56(3):303–8.CrossRefPubMed Petersen RC, Smith GE, Waring SC, Ivnik RJ, Tangalos EG, Kokmen E. Mild cognitive impairment: clinical characterization and outcome. Arch Neurol. 1999;56(3):303–8.CrossRefPubMed
11.
Zurück zum Zitat Jessen F, Amariglio RE, van Boxtel M, et al. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease. Alzheimers Dement. 2014;10(6):844–52.CrossRefPubMedPubMedCentral Jessen F, Amariglio RE, van Boxtel M, et al. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer’s disease. Alzheimers Dement. 2014;10(6):844–52.CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Diagnostic and statistical manual of mental disorders : DSM-IV. 4th ed. Washington, DC: American Psychiatric Association; 1994 Diagnostic and statistical manual of mental disorders : DSM-IV. 4th ed. Washington, DC: American Psychiatric Association; 1994
13.
Zurück zum Zitat McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology. 1984;34(7):939–44.CrossRefPubMed McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology. 1984;34(7):939–44.CrossRefPubMed
14.
Zurück zum Zitat Roman GC, Tatemichi TK, Erkinjuntti T, et al. Vascular dementia: diagnostic criteria for research studies. Report of the NINDS-AIREN International Workshop. Neurology. 1993;43(2):250–60.CrossRefPubMed Roman GC, Tatemichi TK, Erkinjuntti T, et al. Vascular dementia: diagnostic criteria for research studies. Report of the NINDS-AIREN International Workshop. Neurology. 1993;43(2):250–60.CrossRefPubMed
15.
Zurück zum Zitat Neary D, Snowden JS, Gustafson L, et al. Frontotemporal lobar degeneration: a consensus on clinical diagnostic criteria. Neurology. 1998;51(6):1546–54.CrossRefPubMed Neary D, Snowden JS, Gustafson L, et al. Frontotemporal lobar degeneration: a consensus on clinical diagnostic criteria. Neurology. 1998;51(6):1546–54.CrossRefPubMed
16.
Zurück zum Zitat McKeith IG, Galasko D, Kosaka K, et al. Consensus guidelines for the clinical and pathologic diagnosis of dementia with Lewy bodies (DLB): report of the consortium on DLB international workshop. Neurology. 1996;47(5):1113–24.CrossRefPubMed McKeith IG, Galasko D, Kosaka K, et al. Consensus guidelines for the clinical and pathologic diagnosis of dementia with Lewy bodies (DLB): report of the consortium on DLB international workshop. Neurology. 1996;47(5):1113–24.CrossRefPubMed
17.
Zurück zum Zitat Aalten P, Ramakers I, Biessels G, et al. The Dutch Parelsnoer Institute - neurodegenerative diseases; methods, design and baseline results. BMC Neurol. 2014;14(1):1060.CrossRef Aalten P, Ramakers I, Biessels G, et al. The Dutch Parelsnoer Institute - neurodegenerative diseases; methods, design and baseline results. BMC Neurol. 2014;14(1):1060.CrossRef
18.
Zurück zum Zitat Miller MD, Paradis CF, Houck PR, et al. Rating chronic medical illness burden in geropsychiatric practice and research: application of the Cumulative Illness Rating Scale. Psychiatry Res. 1992;41(3):237–48.CrossRefPubMed Miller MD, Paradis CF, Houck PR, et al. Rating chronic medical illness burden in geropsychiatric practice and research: application of the Cumulative Illness Rating Scale. Psychiatry Res. 1992;41(3):237–48.CrossRefPubMed
19.
Zurück zum Zitat Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3):M146–56.CrossRefPubMed Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3):M146–56.CrossRefPubMed
21.
Zurück zum Zitat Gelinas I, Gauthier L, McIntyre M, Gauthier S. Development of a functional measure for persons with Alzheimer’s disease: the disability assessment for dementia. Am J Occup Ther. 1999;53(5):471–81.CrossRefPubMed Gelinas I, Gauthier L, McIntyre M, Gauthier S. Development of a functional measure for persons with Alzheimer’s disease: the disability assessment for dementia. Am J Occup Ther. 1999;53(5):471–81.CrossRefPubMed
22.
Zurück zum Zitat Yesavage J, Sheikh J. Geriatric Depression Scale (GDS): recent evidence and development of a shorter version. Clin Gerontol. 1986;5(1-2):165–73.CrossRef Yesavage J, Sheikh J. Geriatric Depression Scale (GDS): recent evidence and development of a shorter version. Clin Gerontol. 1986;5(1-2):165–73.CrossRef
23.
Zurück zum Zitat Cummings JL. The Neuropsychiatric Inventory: assessing psychopathology in dementia patients. Neurology. 1997;48(5 Suppl 6):S10–6.CrossRefPubMed Cummings JL. The Neuropsychiatric Inventory: assessing psychopathology in dementia patients. Neurology. 1997;48(5 Suppl 6):S10–6.CrossRefPubMed
24.
Zurück zum Zitat EuroQol G. EuroQol–a new facility for the measurement of health-related quality of life. Health Policy. 1990;16(3):199–208.CrossRef EuroQol G. EuroQol–a new facility for the measurement of health-related quality of life. Health Policy. 1990;16(3):199–208.CrossRef
25.
Zurück zum Zitat Oosterveld SM, Kessels RP, Hamel R, et al. The influence of co-morbidity and frailty on the clinical manifestation of patients with Alzheimer’s disease. J Alzheimers Dis. 2014;42(2):501–9.PubMed Oosterveld SM, Kessels RP, Hamel R, et al. The influence of co-morbidity and frailty on the clinical manifestation of patients with Alzheimer’s disease. J Alzheimers Dis. 2014;42(2):501–9.PubMed
26.
Zurück zum Zitat van Vliet D, Bakker C, Koopmans RT, Vernooij-Dassen MJ, Verhey FR, de Vugt ME. Research protocol of the NeedYD-study (Needs in Young onset Dementia): a prospective cohort study on the needs and course of early onset dementia. BMC Geriatr. 2010;10:13.CrossRefPubMedPubMedCentral van Vliet D, Bakker C, Koopmans RT, Vernooij-Dassen MJ, Verhey FR, de Vugt ME. Research protocol of the NeedYD-study (Needs in Young onset Dementia): a prospective cohort study on the needs and course of early onset dementia. BMC Geriatr. 2010;10:13.CrossRefPubMedPubMedCentral
27.
Zurück zum Zitat Gerritsen AA, Bakker C, Verhey FR, de Vugt ME, Melis RJ, Koopmans RT. Prevalence of comorbidity in patients with young-onset Alzheimer disease compared with late-onset: a comparative cohort study. J Am Med Dir Assoc. 2016;17(4):318–23.CrossRefPubMed Gerritsen AA, Bakker C, Verhey FR, de Vugt ME, Melis RJ, Koopmans RT. Prevalence of comorbidity in patients with young-onset Alzheimer disease compared with late-onset: a comparative cohort study. J Am Med Dir Assoc. 2016;17(4):318–23.CrossRefPubMed
28.
Zurück zum Zitat Tschanz JT, Corcoran CD, Schwartz S, et al. Progression of cognitive, functional, and neuropsychiatric symptom domains in a population cohort with Alzheimer dementia: the Cache County Dementia Progression study. Am J Geriatr Psychiatry. 2011;19(6):532–42.CrossRefPubMedPubMedCentral Tschanz JT, Corcoran CD, Schwartz S, et al. Progression of cognitive, functional, and neuropsychiatric symptom domains in a population cohort with Alzheimer dementia: the Cache County Dementia Progression study. Am J Geriatr Psychiatry. 2011;19(6):532–42.CrossRefPubMedPubMedCentral
29.
Zurück zum Zitat Beekly DL, Ramos EM, Lee WW, et al. The National Alzheimer’s Coordinating Center (NACC) database: the Uniform Data Set. Alzheimer Dis Assoc Disord. 2007;21(3):249–58.CrossRefPubMed Beekly DL, Ramos EM, Lee WW, et al. The National Alzheimer’s Coordinating Center (NACC) database: the Uniform Data Set. Alzheimer Dis Assoc Disord. 2007;21(3):249–58.CrossRefPubMed
30.
Zurück zum Zitat Mueller SG, Weiner MW, Thal LJ, et al. Ways toward an early diagnosis in Alzheimer’s disease: the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Alzheimers Dement. 2005;1(1):55–66.CrossRefPubMedPubMedCentral Mueller SG, Weiner MW, Thal LJ, et al. Ways toward an early diagnosis in Alzheimer’s disease: the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Alzheimers Dement. 2005;1(1):55–66.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Erten-Lyons D, Sherbakov LO, Piccinin AM, et al. Review of selected databases of longitudinal aging studies. Alzheimers Dement. 2012;8(6):584–9.CrossRefPubMedPubMedCentral Erten-Lyons D, Sherbakov LO, Piccinin AM, et al. Review of selected databases of longitudinal aging studies. Alzheimers Dement. 2012;8(6):584–9.CrossRefPubMedPubMedCentral
32.
Zurück zum Zitat Hofer SM, Piccinin AM. Integrative data analysis through coordination of measurement and analysis protocol across independent longitudinal studies. Psychol Methods. 2009;14(2):150–64.CrossRefPubMedPubMedCentral Hofer SM, Piccinin AM. Integrative data analysis through coordination of measurement and analysis protocol across independent longitudinal studies. Psychol Methods. 2009;14(2):150–64.CrossRefPubMedPubMedCentral
33.
Zurück zum Zitat Sachdev PS, Lipnicki DM, Kochan NA, et al. COSMIC (Cohort Studies of Memory in an International Consortium): an international consortium to identify risk and protective factors and biomarkers of cognitive ageing and dementia in diverse ethnic and sociocultural groups. BMC Neurol. 2013;13:165.CrossRefPubMedPubMedCentral Sachdev PS, Lipnicki DM, Kochan NA, et al. COSMIC (Cohort Studies of Memory in an International Consortium): an international consortium to identify risk and protective factors and biomarkers of cognitive ageing and dementia in diverse ethnic and sociocultural groups. BMC Neurol. 2013;13:165.CrossRefPubMedPubMedCentral
34.
Zurück zum Zitat Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology. 1993;43(11):2412–4.CrossRefPubMed Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology. 1993;43(11):2412–4.CrossRefPubMed
35.
Zurück zum Zitat 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(3):189–98.CrossRefPubMed 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(3):189–98.CrossRefPubMed
36.
Zurück zum Zitat Van der Elst W, van Boxtel MP, van Breukelen GJ, Jolles J. Rey’s verbal learning test: normative data for 1855 healthy participants aged 24–81 years and the influence of age, sex, education, and mode of presentation. J Int Neuropsychol Soc. 2005;11(3):290–302.PubMed Van der Elst W, van Boxtel MP, van Breukelen GJ, Jolles J. Rey’s verbal learning test: normative data for 1855 healthy participants aged 24–81 years and the influence of age, sex, education, and mode of presentation. J Int Neuropsychol Soc. 2005;11(3):290–302.PubMed
37.
Zurück zum Zitat Lindeboom J, Schmand B, Tulner L, Walstra G, Jonker C. Visual association test to detect early dementia of the Alzheimer type. J Neurol Neurosurg Psychiatry. 2002;73(2):126–33.CrossRefPubMedPubMedCentral Lindeboom J, Schmand B, Tulner L, Walstra G, Jonker C. Visual association test to detect early dementia of the Alzheimer type. J Neurol Neurosurg Psychiatry. 2002;73(2):126–33.CrossRefPubMedPubMedCentral
38.
Zurück zum Zitat Wechsler D. Wechsler Memory Scale: administration and scoring manual. 3rd ed. San Antonio: The Psychological Corporation; 1997. Wechsler D. Wechsler Memory Scale: administration and scoring manual. 3rd ed. San Antonio: The Psychological Corporation; 1997.
39.
Zurück zum Zitat Lezak MD. Neuropsychological assessment. 3rd ed. New York; Oxford: Oxford University Press; 1995. Lezak MD. Neuropsychological assessment. 3rd ed. New York; Oxford: Oxford University Press; 1995.
40.
Zurück zum Zitat van der Elst W, van Boxtel MP, van Breukelen GJ, Jolles J. The Letter Digit Substitution Test: normative data for 1,858 healthy participants aged 24–81 from the Maastricht Aging Study (MAAS): influence of age, education, and sex. J Clin Exp Neuropsychol. 2006;28(6):998–1009.CrossRefPubMed van der Elst W, van Boxtel MP, van Breukelen GJ, Jolles J. The Letter Digit Substitution Test: normative data for 1,858 healthy participants aged 24–81 from the Maastricht Aging Study (MAAS): influence of age, education, and sex. J Clin Exp Neuropsychol. 2006;28(6):998–1009.CrossRefPubMed
41.
Zurück zum Zitat Van der Elst W, Van Boxtel MP, Van Breukelen GJ, Jolles J. The Stroop color-word test: influence of age, sex, and education; and normative data for a large sample across the adult age range. Assessment. 2006;13(1):62–79.CrossRefPubMed Van der Elst W, Van Boxtel MP, Van Breukelen GJ, Jolles J. The Stroop color-word test: influence of age, sex, and education; and normative data for a large sample across the adult age range. Assessment. 2006;13(1):62–79.CrossRefPubMed
42.
Zurück zum Zitat Reitan RM. Validity of the Trail Making Test as an indicator of organic brain damage. Percept Mot Skills. 1958;8:271–6.CrossRef Reitan RM. Validity of the Trail Making Test as an indicator of organic brain damage. Percept Mot Skills. 1958;8:271–6.CrossRef
43.
Zurück zum Zitat Warrington EK, James M. The visual object and space perception battery. Bury St. Edmunds: Thames Valley Test Company; 1991. Warrington EK, James M. The visual object and space perception battery. Bury St. Edmunds: Thames Valley Test Company; 1991.
Metadaten
Titel
A profile of The Clinical Course of Cognition and Comorbidity in Mild Cognitive Impairment and Dementia Study (The 4C study): two complementary longitudinal, clinical cohorts in the Netherlands
Publikationsdatum
01.12.2016
Erschienen in
BMC Neurology / Ausgabe 1/2016
Elektronische ISSN: 1471-2377
DOI
https://doi.org/10.1186/s12883-016-0750-9

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