Can the CERAD neuropsychological battery be used to assess cognitive impairment in Parkinson's disease?

ABSTRACT

The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) neuropsychological battery was created to assess cognitive impairment in Alzheimer's disease (AD) but it is widely-used for various dementias. The aim of this study was to analyze the efficacy of using the CERAD battery in the assessment of patients with Parkinson's disease. Forty-nine patients with Parkinson's disease were divided into two groups (one with dementia and one without) using the Movement Disorder Society criteria for Parkinson's disease dementia. Cognitive deficits were assessed with the Clinical Dementia Rating Scale as the gold standard, and the CERAD. The ROC curve for the CERAD battery had an area under the curve = 0.989 (95% CI = 0.967 – 1, p<0.0001). Among the CERAD subtests, verbal fluency had the worst accuracy, and word list learning had the best accuracy. Despite the limits of this study, the CERAD battery can be efficient for assessment of cognitive deficits in Parkinson's disease patients.

RESUMO

A Bateria Neuropsicológica do Consortium to Establish a Registry for Alzheimer's Disease (CERAD) foi criada para a avaliação da doença de Alzheimer (DA), mas é usada em várias demências. O objetivo deste estudo foi avaliar a efetividade dessa bateria na avaliação de pacientes com doença de Parkinson (DP). Foram avaliados 49 pacientes com DP sendo aplicadas CDR, como padrão-ouro e CERAD. Os pacientes foram divididos em dois grupos: com e sem demência, a partir dos critérios para DPP pela Movement Disorders Society. A curva ROC para o CERAD resultou em uma AUC=0.989 (95% CI = 0.967 – 1, p<0.0001). Entre os subtestes do CERAD, fluência verbal obteve a pior acurácia, e aprendizado de lista de palavras, a melhor. Apesar das limitações do estudo, a bateria do CERAD pode ser uma ferramenta eficaz na avaliação de déficits cognitivos em pacientes com DP

Keywords

Parkinson's disease - dementia - cognition

Palavras-chave

doença de Parkinson - demência - cognição

Parkinson's disease (PD) is a degenerative disorder in which motor changes are mainly as a result of the death of dopaminergic neurons in the substantia nigra. However, the changes are not restricted to this brain region and can be found in other nuclei of the brainstem, in the cerebral cortex and even in peripheral neurons, such as those in the myoenteric plexus. The presence of degenerative processes in the dopaminergic system and in different brain areas, for example the frontal lobe, can explain a series of non-motor signs and symptoms such as cognitive impairment and dementia[1].

Parkinson's disease dementia (PDD) is a dysexecutive syndrome characterized by impaired planning, a deficit in executive function (including organization of goal-directed activities), dyspraxia, bradyphrenia, reduced problem-solving ability, learning difficulty and short-term memory loss. Most patients also present with concomitant fluctuations in attention, mood and personality, as well as hallucinations and psychoses[2],[3]. Parkinson's disease dementia has a prevalence of 40% to 80%[4], and the annual increase in risk is between 6% and 15%[5]. Cognitive decline is not limited to advanced PD stages and has been identified in 20% to 35% of patients recently diagnosed with PD or in the initial stages of the disease. This high prevalence and the major impact the condition has on the patient and family members make it essential to detect and diagnose cognitive changes in PD patients as early as possible[6]. Risk factors for PDD are mild cognitive deficit, advanced age, late-onset PD, more severe motor symptoms, depression, long disease duration, akinetic-rigid syndrome and psychoses[5],[6]. Parkinson's disease dementia is the most important risk factor for admission of PD patients to a nursing home. In addition, the risk of mortality for patients with PDD is higher than for patients without the condition[7].

The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) neuropsychological battery was created in 1986 by the National Institute on Aging for the clinical assessment of cognitive changes in Alzheimer's disease (AD), including diagnosis and longitudinal assessment of cognitive deficits. Since it was created, the CERAD battery has been used to assess not only cognitive changes exclusive to AD but also a broad spectrum of other cognitive changes, PD, frontotemporal dementia and vascular dementia, for example [7],[8],[9],[10],[11],[12]. The widespread use of this scale can be attributed to its very good inter-rater agreement, its retest reliability and its reliability when used for longitudinal follow-up assessments[8],[9]. We have been able to corroborate these findings in another study with AD patients[13].

In light of the above, the present study sought to investigate the efficacy of using this tool in the PD patients' diagnosis and assessment.

METHODS

Forty-nine patients who had been seen at the neurology service, Campos Gerais Regional University Hospital, and INOVARE Serviços de Saúde Ltda., and who agreed to take part in the study, were selected in accordance with the Parkinson's Disease Society Brain Bank diagnostic criteria[14]. The ratio of males to females was 1.88:1. All the participants signed a voluntary informed-consent form.

The exclusion criteria, which were intended to exclude patients whose signs and symptoms made it impossible for them to perform a cognitive assessment or apply the proposed tests, were as follows: 1) advanced PD stage with severe motor impairment; 2) severe psychotic symptoms; 3) another dementia not associated with PD; and 4 patients who had cognitive changes that had started at least one year before motor symptoms (possible dementia with Lewy bodies)[2]. The study was approved by the State University of Ponta Grossa Research Ethics Committee (reference FA631.285).

All the patients were assessed during the ON phase of levodopa therapy; preferably two hours after the medication had been administered (ON phase = stage with the effect of levodopa; OFF phase = stage without effect of levodopa). A team trained in movement disorders carried out the clinical assessment. A semi-structured questionnaire was applied to collect epidemiologic data, data about disease progression, previous and current treatment. Patients were classified according to motor changes on the Hoehn and Yahr scale[15] and the Unified Parkinson's Disease Rating Scale III (UPDRS-III)[16].

After the confirmation of diagnosis, the patients' cognition was assessed. All patients were assessed during the ON phase of levodopa and while they were using acetylcholinesterase inhibitors. The Clinical Dementia Rating Scale (CDR) was used to assess cognitive impairment in six areas: memory, orientation, judgement and problem solving, community affairs, home and hobbies, and personal care[17]. Patients scoring ≥ 1 in at least two of the six CDR domains or those receiving a CDR-SOB (sum of boxes) score ≥ 3 were classified as having cognitive impairment; patients scoring below these cutoff scores were classified as cognitively intact[18]. Among the patients with cognitive decline, PDD was diagnosed using the Movement Disorders Society criteria[2],[19].

A trained team also applied the CERAD neuropsychological battery[8],[9],[10]. This consists of seven subtests that together give a maximum score of 100 as follows: 1) verbal fluency; 2) modified Boston naming; 3) word list learning; 4) constructional praxis; 5) word list recall; 6) word list recognition; and 7) constructional praxis recall. In this study, unlike most authors, the Mini-Mental State Examination (MMSE) or clock drawing test were not added to the CERAD battery.

For the analysis, PD patients were divided into two groups, one with dementia and the other without. The data for both groups of patients were compared and tested to determine whether they had a normal or non-normal distribution pattern in the Shapiro-Wilk test. Statistical differences between the means of the groups were determined using the one-tailed Students t-test for normal distributions and the Mann-Whitney test for non-normal distributions. Fisher's exact test was used to analyze the differences between the expected and observed values on two qualitative variables. All the statistical analysis was performed with Statistica for Windows (ver. 99) and Microsoft Office Excel 2010. The receiver operating characteristic (ROC) curve in Med Calc for Windows was used to calculate the sensitivity, specificity, and cutoff of the CERAD neuropsychological battery. The area under the curve (AUC) is equal to the probability that a variable will correctly classify a pair of individuals randomly chosen from two groups as belonging to their true category. An AUC = 1.0 indicates no overlap between groups and that the individuals will always be correctly classified, whereas AUC = 0.500 indicates chance-level accuracy. Differences were considered significant when p < 0.05.

RESULTS

When using the Movement Disorders Society criteria, 33 (67.3%) of the 49 patients were diagnosed with PDD and 16 (32.7%) without. When the clinical and epidemiologic characteristics of the patients with dementia and those without were compared, the PDD patients had a lower schooling and a worse motor score on the UPDRS-III ([Table 1]).

Table 1 Clinical and epidemiologic characteristics of Parkinson's disease patients with and without dementia.

Variable		Total (n = 49)	With dementia (n = 33)	Without dementia (n = 16)	p-value
Gender		49 (100%)	33 (67.3%)	16 (32.6%)
	Female	18 (36.7%)	13 (39.4%)	5 (31.3%)	0.7541
	Male	31 (63.3%)	20 (60.6%)	11 (68.7%)
Age at onset of symptoms		60.6 ± 12.3	62.3 ± 11.6	57.1 ± 12.8	0.0827
Disease duration		8.9 ± 8.3	9.6 ± 9.5	7.7 ± 4.2	0.239
Duration of levodopa therapy		5.5 ± 5.1	5.3 ± 5.0	6.7 ± 5.8	0.4326
Hoehn and Yahr		2.3 ± 1.2	2.4 ± 1.3	2.1 ± 1.0	0.2382
UPDRS -III		21.4 ± 11.4	24.4 ± 11.4	14.9 ± 8.1	0.002*
Schooling		7.0 ± 4.9	5.9 ± 4.6	9.4 ± 4.7	0.0105*

Age, age at onset of symptoms, schooling, disease duration and duration of levodopa therapy are all expressed in years. UPDRS-III: Unified Parkinson's Disease Rating Scale III. *Statistically significant value.

Using the CDR for dementia diagnosis as the gold standard, the ROC curve for the CERAD battery had an AUC = 0.989 (95% CI = 0.967 − 1, p < 0.0001) ([Figure]). [Table 2] shows the sensitivity and specificity results for different CERAD cutoffs. The Youden index determined the score of 57 as an optimum cutoff for the CERAD (Figure).

Figure Comparison of Parkinson's disease patients by CERAD through the ROC Curve with Younden's J Index.

Table 2 Cutoffs for the CERAD.

Cutoff	Sensitivity (%)	Specificity (%)
52	78.8	100
53	87.9	93.7
54	90.9	93.7
55	97.0	93.7
57*	100	93.7

*Younden's J Index; CERAD: Consortium to Establish a Registry for Alzheimer's Disease

An analysis of the ROC curve for accuracy showed a moderate accuracy (AUC = 0.7 - 0.9) in three CERAD subtests, and a high accuracy (AUC > 0.9) in seven subtests. Verbal fluency had the worst AUC, 0.754 (95% CI = 0.610 – 0.866), and word list learning had the best, 0.937 (95% CI = 0.828 – 0,986). The AUC and cutoff for each CERAD subtest were also calculated ([Table 3]).

Table 3 Comparison of PD patients, with and without dementia, by CERAD subtests.

Test (Maximum score)	With dementia (n = 33)	Without dementia (n = 16)	p-value	AUC*	Cutoff**
Verbal Fluency (13)	9.97 ±3.1	12.25 ± 1.7	0.0002	0.754 (95% CI = 0.610-0.866)	12
Modified Boston Naming (15)	8.73 ±2.9	12.06 ± 1.7	< 0.0001	0.841 (95% CI = 0.708-0.930)	9
Word List Learning (30)	9.12 ±3.7	15.75 ± 2.9	< 0.0001	0.937 (95% CI = 0.828-0,986)	12
Constructional Praxis (11)	4.70 ±2.7	8.16 ± 2.0	< 0.0001	0.836 (95% CI = 0.703-0.926)	5
Word List Recall (10)	1.89 ±1.6	5.06 ± 1.4	< 0.0001	0.929 (95% CI = 0.818-0,983)	4
Word List Recognition (10)	4.97 ±3.0	7.5 ± 1.5	0.0001	0.759 (95% CI = 0.615-0.869)	5
Constructional Praxis Recall (10)	2.94 ±2.5	7.44 ± 2.2	< 0.0001	0.903 (95% CI = 0.785-0.969)	4

*Area under the curve (AUC); **Cutoff to maximise Youden's J Index (p < 0.05); PD: Parkinson's disease; CERAD: Consortium to Establish a Registry for Alzheimer's Disease

DISCUSSION

Overall, 67.3% of the patients in this study were diagnosed with PDD. This number is close to the upper limit of the prevalence of PDD found in various earlier studies (25% to 83%)[4],[20],[21]. This high prevalence in a cross-sectional study may be explained by the fact that the patients were followed up in a tertiary care hospital and that their mean disease duration and complexity were greater than in other patient series.

Low schooling had a statistical correlation with dementia. This corroborates the findings reported in the literature, according to which a lack of education is a risk factor for dementia[22]. Old age, disease duration and progression of motor symptoms did not have a correlation with PDD. The Hoehn & Yahr stage did not show significant differences between the patients with dementia and without dementia, unlike that in the UPDRS scale. These findings do not concur with the results of a study by Zhu et al.[23], in which patients with dementia were older and had a longer disease duration and higher Hoehn & Yahr stage[7],[24]. Karrasch et al.[18] found patients with cognitive decline with worse motor scores in the UPDRS and Hoeh & Yahr, and with a longer disease duration, but there was no difference in schooling between patients with PD with and without dementia. These contradictory findings may be due to the small number of patients without dementia in our study, most of whom were an advanced age (69.3 ± 11.4 years). In addition, a very important factor was the time when the patients were assessed. In our series, this was done during the ON phase (with the effect of levodopa), when the patients' motor skills were at their best. If the patients were evaluated during the OFF phase, the results may have been similar to those of other studies.

The results suggest that the CERAD may have the necessary efficacy and accuracy for the evaluation of cognition in PD patients. This neuropsychological battery has been used worldwide, not only in AD, but also for various types of dementias, as it includes a wide range of subtests[18],[25],[26],[27]. The cognitive functions most affected in PD are executive functions, attention and memory. However, other cortical functions such as visuospatial functions, orientation and perception are also affected[25]. Although the seven main subtests are almost always present, there are variations in the CERAD battery. In the CERAD Brazilian validation with AD patients, Bertolucci et al.[10] added the MMSE (cutoff = 85, and 59 without MMSE). In the version used by Karrasch et al.[18] for PD patients, the clock drawing test was added. We preferred to test using the version without the MMSE or clock drawing test. Our cutoff was 57, very close to the Brazilian study with AD patients[10].

One of the difficulties in using the traditional seven subtests of the CERAD in PD patients is that the only CERAD subtest for executive functions assessment is the verbal fluency test. These cognitive domains are affected in PDD, quite often more severely than in AD[28]. Verbal fluency was the subtest with the worst accuracy in our study. Tedrus et al.[27] reported similar findings. In the study by Karrash et al.[18], the authors attempted to overcome the lack of tests assessing frontostriatal functions in the CERAD by adding the clock drawing test. However, the accuracy of both subtests was also lower[18]. Like executive functions, visuospatial functions are compromised in PDD, a finding that tends to be more frequent in PDD patients than in AD patients[28]. Visuospatial function was assessed by the constructional praxis test in the CERAD; however, this subtest had moderate accuracy and it was poorly sensitive for visuospatial deficits. Karrash et al.[18] also showed moderate accuracy for this subtest.

The CERAD naming test assesses language function, which has already been shown to be impaired in PD patients, although to a lesser extent than in AD patients[7]. The difference in the results of the naming test for the two groups was statistically significant, despite the moderate accuracy, unlike in the study by Karrasch et al[18]. Initially, these discordant findings could be attributed to social and cultural differences in the populations studied, because some images are not familiar to some Brazilian subjects (e.g., ice tongs). However, in the study by Bertolucci et al.[10], in which the CERAD battery was validated for Brazilian Portuguese, the control group displayed good performance in identifying the images, achieving a mean of 13.1 out of a maximum score of 15 in the naming test. We tried to find differences other than the cultural backgrounds between our patients and those of Karrasch et al.[18], but the samples from the two studies were similar in age and level of symptom progression. Nevertheless, the level of education was considerably lower in the Brazilian group. Thus, the combination of advanced age and, mainly, low school level may help in the understanding of these scores.

In the CERAD subtests that assess memory (word list learning, word list recall, word list recognition and constructional praxis recall), patients with PDD performed worse than those without dementia. In the study by Karrasch et al.[18] _, only the result for word list learning was statistically significant, and in the study by Tedrus et al.[27] _, none of the differences in the results of the subtests were statistically significant. These subtests are extremely sensitive to changes in episodic verbal memory[29]. A decline in episodic verbal memory may be the strongest indication of incipient dementia in PD patients[6]. Memory abilities have already been reported to be impaired in PDD patients, although to a lesser extent than in AD patients. The CERAD battery provides a more accurate assessment of memory deficits than specific tests for PD patients, such as the Scales for Outcomes in Parkinson's disease-Cognition[28],[29].

We have reported a number of limitations of our study; however, we can state that our data suggest the possibility of the CERAD neuropsychological battery being used to evaluate PD patients with cognitive deficits. The large number of cognitive domains comprised in this battery makes it a powerful diagnostic tool. We would like to see further studies, with a greater number of patients, being able to prove the issues that our study introduces.

Conflict of interest:

There is no conflict of interest to declare.

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Publication History

Received: 19 June 2017

Accepted: 22 November 2017

Article published online:
28 August 2023