MS Patients’ Performance Profile in the Time- Limited Subtests of the Brief Repeatable Battery of Neuropsychological Tests (BRBNT) ws

Research Article

Austin J Mult Scler & Neuroimmunol. 2015; 2(4): 1021.

MS Patients’ Performance Profile in the Time- Limited Subtests of the Brief Repeatable Battery of Neuropsychological Tests (BRBNT)

Rosti-Otajärvi E1*, Mäntynen A2, Ruutiainen J3, Huhtala H4 and Hämäläinen P5

¹Department of Neurology and Rehabilitation, Tampere University Hospital, Finland

²Department of Psychology, Seinäjoki Central Hospital, Finland

³Masku Neurological Rehabilitation Centre, Finland

4Tampere University, School of Health Sciences, Finland

5Masku Neurological Rehabilitation Centre, Finland

*Corresponding author: Eija Rosti-Otajärvi, Department of Neurology and Rehabilitation, Tampere University Hospital, PO Box 2000, 33521 Tampere, Finland

Received: October 16, 2015; Accepted: December 22, 2015; Published: December 25, 2015

Abstract

Background: Although the Brief Repeatable Battery of Neuropsychological Tests (BRBNT) is widely used in cognitive screening in multiple sclerosis (MS), the performance profile in it’s’ tests has not been systematically evaluated.

Objective: The aim of the present study was to evaluate the performance profile in the Paced Auditory Serial Addition Test (PASAT), the Symbol Digit Modalities Test (SDMT), and the Controlled Oral Word Association Test (COWAT) in patients with MS, and to find out whether it differs between relapsing and progressive phenotype, as well as whether patient’s mood or cognitive status affects the profiles.

Method: 187 MS patients (136 relapsing-remitting, 51 progressive) underwent neuropsychological assessment with the PASAT, the SDMT, and the COWAT. Ppatients’ performances in these tests were evaluated across the items in three phases (beginning, middle, and end). Cognitive status was determined using the BRBNT composite score, and mood with the Beck Depression Inventory II (BDI-II).

Results: The performance declined from the beginning to the end during all three cognitive tests in both groups. Cognitive status affected the performance profiles. Instead, mood did not.

Conclusion: By recording the course of performance during the tests of the BRBNT, important information on performance stability and possible signs of cognitive fatigue can be collected.

Keywords: Brief Repeatable Battery of Neuropsychological Tests (BRBNT); Cognitive fatigue; Multiple sclerosis; Progressive; Relapsing

Introduction

Different clinical phenotypes, like relapsing-remitting and progressive (primary and secondary), are characteristics of the disease course of multiple sclerosis (MS) [1]. Cognitive deficits are a common manifestation in MS occurring in about 50-60% of patients [2,3]. Cognitive functions most often affected are speed of informationprocessing and memory and learning [2,3]. Deficits in complex attention and executive functions are also relatively frequent, while those in visual perception and verbal skills are more infrequent [2,3]. Clinically significant depression or fatigue may aggravate cognitive symptoms [4]. Most of the evidence at present suggests that cognitive deficits are more frequent and more widespread in progressive than in relapsing form of the disease [5-11].

The Brief Repeatable Battery of Neuropsychological Tests (BRBNT) is a widely used brief neuropsychological battery with reasonable availability and acceptable sensitivity in MS [7,12,13]. The BRBNT includes the Buschke Selective Reminding Test (BSRT) to assess verbal memory, the 10/36 Spatial Recall Test (10/36) to assess visual memory, the Symbol Digit Modalities Test (SDMT) to assess information-processing speed, the Paced Auditory Serial Addition Test to assess attention, information-processing speed, and working memory, and the Controlled Oral Word Association Test (COWAT) to assess semantic fluency [13]. The total scores of single cognitive tests, as well as the composite score are the most frequently used variables in the BRBNT.

Fatigue is considered to be one of the most disabling symptoms of MS, greatly impacting quality of life [14]. Assessment of fatigue has typically relied on subjective self-report questionnaires and as such is more frequently seen in progressive than in relapsing form of the disease [15] as well as in patients with higher disability [15,16]. Selfreport assessments of fatigue can be confounded by motor or cognitive impairment, depression as well as lack of universally accepted definition for fatigue. Cognitive fatigue, i.e. temporary decline in sustained cognitive activity, has been reported as a feature of MSrelated cognitive decline [17]. It has been suggested that cognitive fatigue may be evaluated by analyzing the course of performance during a single test or during a neuropsychological assessment offering a more objective way than self-report questionnaires. A decline during cognitive test performance [18-21], slowing response times [22] and increased response time variability [23] among patients with MS has been interpreted as a possible sign of cognitive fatigue. However, declining performance during cognitive tests has been observed also in healthy participants [24]. The performance of patients with MS has been shown to decline during the PASAT, a 3-min-long test with high information-processing and working memory demands [18,19], during the SDMT, a 1.5-min-long information-processing speed task [20], as well as during a 15-min-long computerized test of sustained attention [21]. Sensitivity of the PASAT in detecting performance deterioration has been suggested to vary according to the scoring methods [25,26]. The percent dyad score method, which reflects performance strategy and the degree to which the task has been performed according to the intended demands, has been found to be more sensitive to detect performance deterioration than total correct score [25,26]. The so-called dyad score method involves counting only the total number of times that two correct responses are given in a row (“dyads”) for each PASAT trial. A percent dyad score consequently reflects the percentage of total correct responses accounted for by these dyads [27]. Additionally, so-called fatigue scores for the PASAT have been calculated by subtracting raw scores from the first half of each administration from the raw scores from the second half to describe the change during the performance [25]. There is evidence that patients with MS may show greater slowing of response times [22] and increased response time variability [23] in cognitive tests than healthy controls. The course of performance during cognitive tests has not been compared between relapsing and progressive phenotypes. It is crucial to evaluate the performance profile (course of performance during a test), because temporary decline in cognitive performance whether interpreted as cognitive fatigue or not may be critical in certain activities.

Whether clinical phenotype of the disease, depression, or cognitive status of the patient modulates the performance profile in cognitive tests remains unknown. To the best of our knowledge, despite the comprehensive use of the BRBNT, the performance profile has not been systematically examined in the time-limited tests of the battery. Instead, the total scores of the tests are commonly used. A more specific evaluation of performance during the time-limited tests of the BRBNT, namely the PASAT, the SDMT, and the COWAT, offers information on performance stability and possible signs of deterioration during the tests. Instead, same kind of evaluation is controversial during the BSRT and the 10/36 SRT because they are not time-limited in the same way as the other three tests. In the present study, the performances of patients with MS in the time-limited tests of the BRBNT were evaluated across the items in three phases of each test (beginning, middle, and end). Additionally, the so-called fatigue scores in the tests and the dyad scores in the PASAT were calculated. The aim of the present study was to evaluate the performance profile in MS patients with cognitive complaints in the PASAT, the SDMT, and the COWAT. Specifically, the aims were to find out whether the performance profile differs in relapsing and progressive phenotype of the disease and whether patient’s mood or cognitive status affects the performance profile.

Materials and Methods

Participants

The study population consisted of a pooled sample of MS patients from two previous study samples. The common inclusion criteria were clinically definite [28] MS, the Expanded Disability Status Scale (EDSS) [29] between 0 and 8, and subjective cognitive complaints (identified either with the Multiple Sclerosis Neuropsychological Questionnaire–Patient (MSNQ-P) or interview), and age 18-62. Patients with a history of alcohol or drug abuse, psychiatric disorder, acute relapses, neurological disease other than MS, or severe overall cognitive impairment were excluded. A total of 187 patients with clinically definite [28] relapsing [RRMS (n = 136)] or progressive [SPMS (n = 25), PPMS (n = 26)] MS were included. All patients provided written informed consent, and the study protocol was approved by the Ethics Committee of Seinäjoki Central Hospital, Tampere University Hospital, and Turku University Hospital.

Outcome measures

Cognitive performance was evaluated with the BRBNT including the BSRT, the 10/36, the SDMT, the PASAT (two and three second interstimulus versions; PASAT-2 and PASAT-3, respectively), and the COWAT [13].

The analysed variables for the PASAT were the number of correct (max 60), dyad scores (max 59) and percent dyad scores. The percent dyad score is the proportion of the total correct responses accounted for by the dyads (two correct consecutive answers), and it was calculated using the following formula: (1–(total correct score– dyad score)/total correct score) x 100. To evaluate the performance profile (change during performance) in cognitive tests, patients’ performance in the PASAT-2 and -3 (raw and dyad score), SDMT, and COWAT was evaluated across the items in three phases. The phases refer to the performance during the first 20 calculations (1- 20; beginning), second 20 calculations (21-40; middle), and last 20 calculations (41-60; end) in the PASAT, and performance during the first 30 sec. (0-30; beginning), second 30 sec. (31-60; middle), and last 30 sec. (61-90; end) in the SDMT and the COWAT. Additionally, fatigue scores were calculated according to Walker et al. [25]. For the PASAT, raw scores from the first half of each administration were subtracted from raw scores from the second half. For the SDMT and the COWAT, scores from the first part (0-30 sec) were subtracted from scores from the last part (61-90 sec). Negative difference scores were suggestive of cognitive fatigue [25].

In order to determine the overall cognitive status of the patients, a composite score (a single Z-score from all BRBNT subtests) was calculated using the formula suggested by Sepulcre et al. [7]. This composite score has been widely used to describe the overall cognitive performance of patients with MS. To obtain Z-scores for each cognitive domain in the BRBNT, a reference group of 24 healthy controls was used [30]. Patients who failed on at least 33% (3/9) of the tests of the BRBNT were classified as cognitively impaired [6,31]. Patients were considered to have failed a particular cognitive test if they scored below the 5th percentile for healthy controls. Self-perceived depressive symptoms were evaluated with the Beck Depression Inventory II (BDI-II) [32]. The score ≥14 was used as a cut-off in the BDI-II for classifying patients as depressed.

Statistical analyses

In comparisons between the two groups (comparisons in demographic and clinical characteristics, as well as in fatigue scores between the groups), the Chi-Square tests for nominal, Mann Whitney U-tests for non-normally and Student’s t-tests for normally distributed variables were used. In order to investigate the change during cognitive test performance, a repeated measures analysis of variance (ANOVA) was conducted to assess possible differences over time (tests divided into three phases) and possible differences between groups (relapsing vs. progressive; depressed vs. nondepressed; cognitively intact vs. impaired) as well as the interaction between time and group. When compared groups differed in terms of demographic factors adjustments for these were made.

Results

Demographic and clinical characteristics

Patients in the relapsing group were younger than patients in the progressive group. Education or gender distribution did not differ between the groups. Patients in the relapsing group had lower Expanded Disability Status Scale (EDSS) scores and shorter disease duration than patients in the progressive group. The SDMT performance was better in the relapsing than in the progressive group. Otherwise cognitive performance or mood did not differ between the groups (Table 1).