1
|
Kania K, Ambrosius W, Kozubski W, Kalinowska-Łyszczarz A. The impact of disease modifying therapies on cognitive functions typically impaired in multiple sclerosis patients: a clinician's review. Front Neurol 2023; 14:1222574. [PMID: 37503514 PMCID: PMC10368887 DOI: 10.3389/fneur.2023.1222574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Accepted: 06/28/2023] [Indexed: 07/29/2023] Open
Abstract
Objective Over the last few decades clinicians have become aware that cognitive impairment might be a major cause of disability, loss of employment and poor quality of life in patients suffering from multiple sclerosis [MS].The impact of disease modifying therapies [DMTs] on cognition is still a matter of debate. Theoretically, DMTs could exert a substantial beneficial effect by means of reducing neuroinflammation and brain atrophy, which are established correlates of cognitive dysfunction. The aim of the study was to review the evidence concerning the effect of DMTs on cognitive functions. Methods PubMed, Scopus, and the European Committee for Treatment and Research in Multiple Sclerosis [ECTRIMS] Library were searched for articles concerning the pediatric and adult populations of patients with multiple sclerosis, including clinical trials and RWD, where psychometric results were analyzed as secondary or exploratory endpoints. Results We reviewed a total of 44 studies that were found by our search strategy, analyzed the psychological tests that were applied, the length of the follow-up, and possible limitations. We pointed out the difficulties associated with assessing of DMTs' effects on cognitive functions, and pitfalls in cognitive tools used for evaluating of MS patients. Conclusion There is a need to highlight this aspect of MS therapies, and to collect adequate data to make informed therapeutic decisions, to improve our understanding of MS-related cognitive dysfunction and provide new therapeutic targets.
Collapse
Affiliation(s)
- Karolina Kania
- Department of Neurology, Poznan University of Medical Sciences, Poznań, Poland
| | - Wojciech Ambrosius
- Department of Neurology, Poznan University of Medical Sciences, Poznań, Poland
| | - Wojciech Kozubski
- Department of Neurology, Poznan University of Medical Sciences, Poznań, Poland
| | - Alicja Kalinowska-Łyszczarz
- Department of Neurology, Division of Neurochemistry and Neuropathology, Poznan University of Medical Sciences, Poznań, Poland
| |
Collapse
|
2
|
Gates TM, Kamminga J, Jayewardene A, Vincent T, Quan D, Brew BJ, Bloch M, Cysique LA. An examination of reliable change methods for measuring cognitive change with the Cogstate Computerized Battery: Research and clinical implications. Arch Clin Neuropsychol 2020; 36:597-612. [DOI: 10.1093/arclin/acaa076] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 06/26/2020] [Accepted: 08/26/2020] [Indexed: 11/12/2022] Open
Abstract
Abstract
Objective
To compare the performance of four reliable change (RC) methods with respect to measuring cognitive change on the Cogstate Computerized Battery (CCB).
Method
We assessed cognitive change in 57 healthy, urban, well-educated males on the CCB at baseline and 6 months (Median age = 50, 65% university-educated). The study CCB version comprised seven measures covering attention, processing speed, verbal learning, and memory. Raw scores were z-score transformed using age-corrected Cogstate norms (CN) or the sample mean and standard deviation (internal standardization [IS]), and then averaged to create composite z-scores. Composite scores were entered into four RC formulae. RC was defined based on a 90% two-tailed confidence interval. Change scores were compared as continuous (z-scores) and ordinal variables (RC outcomes).
Results
CCB composite score reliability (rXY = .78–.79) was replicated in an age- and sex-matched Cogstate database sample of similar size. There was good overall agreement between the four RC methods (Bland–Altman Mdiff = .00; 95% limits of agreement with the mean—CN: z = ± .90; IS: z = ± .93), with each model adhering closely to the 10% rate of RC expected by chance alone (largest χ2 = .86, p = .99). Initial norming strategy (CN or IS) did not affect these outcomes.
Conclusions
Norming strategy and RC method choice did not significantly impact cognitive change predictions on CCB composite scores. A series of example case data are provided to practically demonstrate the steps involved in applying the longitudinal norms generated in this study. Research in more diverse normative samples is warranted.
Collapse
Affiliation(s)
- Thomas M Gates
- Departments of Neurology and HIV Medicine, St Vincent's Hospital, Sydney, Australia
- Peter Duncan Neurosciences Unit, St Vincent's Centre for Applied Medical Research, Sydney, Australia
| | | | | | - Trina Vincent
- Holdsworth House Medical Practice, Sydney, Australia
| | - Dick Quan
- Holdsworth House Medical Practice, Sydney, Australia
| | - Bruce J Brew
- Departments of Neurology and HIV Medicine, St Vincent's Hospital, Sydney, Australia
- Peter Duncan Neurosciences Unit, St Vincent's Centre for Applied Medical Research, Sydney, Australia
- St Vincent’s Clinical School, Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Mark Bloch
- Holdsworth House Medical Practice, Sydney, Australia
- Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Lucette A Cysique
- Departments of Neurology and HIV Medicine, St Vincent's Hospital, Sydney, Australia
- Peter Duncan Neurosciences Unit, St Vincent's Centre for Applied Medical Research, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
- School of Psychology, University of New South Wales, Sydney, Australia
| |
Collapse
|
3
|
Macías Islas MÁ, Ciampi E. Assessment and Impact of Cognitive Impairment in Multiple Sclerosis: An Overview. Biomedicines 2019; 7:E22. [PMID: 30893874 PMCID: PMC6466345 DOI: 10.3390/biomedicines7010022] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 03/13/2019] [Accepted: 03/14/2019] [Indexed: 12/30/2022] Open
Abstract
Cognitive impairment affects 40⁻60% of patients with multiple sclerosis. It may be present early in the course of the disease and has an impact on a patient's employability, social interactions, and quality of life. In the last three decades, an increasing interest in diagnosis and management of cognitive impairment has arisen. Neuropsychological assessment and neuroimaging studies focusing on cognitive impairment are now being incorporated as primary outcomes in clinical trials. However, there are still key uncertainties concerning the underlying mechanisms of damage, neural basis, sensitivity and validity of neuropsychological tests, and efficacy of pharmacological and non-pharmacological interventions. The present article aimed to present an overview of the assessment, neural correlates, and impact of cognitive impairment in multiple sclerosis.
Collapse
Affiliation(s)
| | - Ethel Ciampi
- Neurology, Pontificia Universidad Católica de Chile, Neurology, Hospital Dr. Sótero del Río, Santiago 8320000, Chile.
| |
Collapse
|
4
|
De Meijer L, Merlo D, Skibina O, Grobbee EJ, Gale J, Haartsen J, Maruff P, Darby D, Butzkueven H, Van der Walt A. Monitoring cognitive change in multiple sclerosis using a computerized cognitive battery. Mult Scler J Exp Transl Clin 2018; 4:2055217318815513. [PMID: 30559973 PMCID: PMC6293367 DOI: 10.1177/2055217318815513] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Revised: 10/11/2018] [Accepted: 11/01/2018] [Indexed: 11/15/2022] Open
Abstract
Background Cognitive monitoring that can detect short-term change in multiple sclerosis is challenging. Computerized cognitive batteries such as the CogState Brief Battery can rapidly assess commonly affected cognitive domains. Objectives The purpose of this study was to establish the acceptability and sensitivity of the CogState Brief Battery in multiple sclerosis patients compared to controls. We compared the sensitivity of the CogState Brief Battery to that of the Paced Auditory Serial Addition Test over 12 months. Methods Demographics, Expanded Disability Status Scale scores, depression and anxiety scores were compared with CogState Brief Battery and Paced Auditory Serial Addition Test performances of 51 patients with relapsing-remitting multiple sclerosis, 19 with secondary progressive multiple sclerosis and 40 healthy controls. Longitudinal data in 37 relapsing-remitting multiple sclerosis patients were evaluated using linear mixed models. Results Both the CogState Brief Battery and the Paced Auditory Serial Addition Test discriminated between multiple sclerosis and healthy controls at baseline (p<0.001). CogState Brief Battery tasks were more acceptable and caused less anxiety than the Paced Auditory Serial Addition Test (p<0.001). In relapsing-remitting multiple sclerosis patients, reaction time slowed over 12 months (p<0.001) for the CogState Brief Battery Detection (mean change -34.23 ms) and Identification (-25.31 ms) tasks. Paced Auditory Serial Addition Test scores did not change over this time. Conclusions The CogState Brief Battery is highly acceptable and better able to detect cognitive change than the Paced Auditory Serial Addition Test. The CogState Brief Battery could potentially be used as a practical cognitive monitoring tool in the multiple sclerosis clinic setting.
Collapse
Affiliation(s)
- L De Meijer
- Rijksuniversiteit, The Netherlands.,Erasmus MC Medical Center, The Netherlands
| | - D Merlo
- Eastern Health Clinical Research Unit, Monash University, Australia.,Department of Neuroscience, Monash University, Australia
| | - O Skibina
- Eastern Health Clinical Research Unit, Monash University, Australia.,Department of Neurology, Eastern Health, Australia.,Department of Neurology, Alfred Health, Australia
| | | | | | - J Haartsen
- Eastern Health Clinical Research Unit, Monash University, Australia.,Department of Neurology, Eastern Health, Australia
| | - P Maruff
- Department of Neuroscience, Monash University, Australia
| | - D Darby
- Department of Neurology, Eastern Health, Australia.,Florey Institute for Neuroscience and Mental Health, University of Melbourne, Australia
| | - H Butzkueven
- Eastern Health Clinical Research Unit, Monash University, Australia.,Department of Neuroscience, Monash University, Australia.,Department of Neurology, Eastern Health, Australia.,Department of Neurology, Alfred Health, Australia
| | - A Van der Walt
- Eastern Health Clinical Research Unit, Monash University, Australia.,Department of Neuroscience, Monash University, Australia.,Department of Neurology, Eastern Health, Australia.,Department of Neurology, Alfred Health, Australia.,These authors contributed equally
| |
Collapse
|
5
|
Tur C, Moccia M, Barkhof F, Chataway J, Sastre-Garriga J, Thompson AJ, Ciccarelli O. Assessing treatment outcomes in multiple sclerosis trials and in the clinical setting. Nat Rev Neurol 2018; 14:75-93. [PMID: 29326424 DOI: 10.1038/nrneurol.2017.171] [Citation(s) in RCA: 107] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Increasing numbers of drugs are being developed for the treatment of multiple sclerosis (MS). Measurement of relevant outcomes is key for assessing the efficacy of new drugs in clinical trials and for monitoring responses to disease-modifying drugs in individual patients. Most outcomes used in trial and clinical settings reflect either clinical or neuroimaging aspects of MS (such as relapse and accrual of disability or the presence of visible inflammation and brain tissue loss, respectively). However, most measures employed in clinical trials to assess treatment effects are not used in routine practice. In clinical trials, the appropriate choice of outcome measures is crucial because the results determine whether a drug is considered effective and therefore worthy of further development; in the clinic, outcome measures can guide treatment decisions, such as choosing a first-line disease-modifying drug or escalating to second-line treatment. This Review discusses clinical, neuroimaging and composite outcome measures for MS, including patient-reported outcome measures, used in both trials and the clinical setting. Its aim is to help clinicians and researchers navigate through the multiple options encountered when choosing an outcome measure. Barriers and limitations that need to be overcome to translate trial outcome measures into the clinical setting are also discussed.
Collapse
Affiliation(s)
- Carmen Tur
- Queen Square Multiple Sclerosis Centre, University College of London Institute of Neurology, London WC1B 5EH, UK
| | - Marcello Moccia
- Queen Square Multiple Sclerosis Centre, University College of London Institute of Neurology, London WC1B 5EH, UK.,Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Federico II University, Via Sergio Pansini 5, Naples 80131, Italy
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Centre, University College of London Institute of Neurology, London WC1B 5EH, UK.,Institute of Healthcare Engineering, University College London, Engineering Front Building, Room 2.01, 2nd Floor, Torrington Place, WC1E 7JE London, UK.,Vrije Universiteit (VU) University Medical Centre - Radiology and Nuclear Medicine, Van der Boechorststraat 7 F/A-114, 1081 BT Amsterdam, Netherlands.,National Institute for Health Research, University College London Hospitals Biomedical Research Centre, 170 Tottenham Court Rd, W1T 7HA London, UK
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, University College of London Institute of Neurology, London WC1B 5EH, UK.,National Institute for Health Research, University College London Hospitals Biomedical Research Centre, 170 Tottenham Court Rd, W1T 7HA London, UK
| | - Jaume Sastre-Garriga
- Multiple Sclerosis Centre of Catalonia, Department of Neurology and Neuroimmunology, Vall d'Hebron University Hospital, 119-129, 08035 Barcelona, Spain
| | - Alan J Thompson
- National Institute for Health Research, University College London Hospitals Biomedical Research Centre, 170 Tottenham Court Rd, W1T 7HA London, UK.,University College London Faculty of Brain Sciences, Institute of Neurology, Department of Brain Repair and Rehabilitation, Queen Square, London WC1N 3BG, UK
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, University College of London Institute of Neurology, London WC1B 5EH, UK.,National Institute for Health Research, University College London Hospitals Biomedical Research Centre, 170 Tottenham Court Rd, W1T 7HA London, UK
| |
Collapse
|
6
|
Gudesblatt M, Wissemann K, Zarif M, Bumstead B, Fafard L, Wilken J, Blitz K, Buhse M, Santra S, Hotermans C, Lee L. Improvement in Cognitive Function as Measured by NeuroTrax in Patients with Relapsing Multiple Sclerosis Treated with Natalizumab: A 2-Year Retrospective Analysis. CNS Drugs 2018; 32:1173-1181. [PMID: 30143944 PMCID: PMC6280854 DOI: 10.1007/s40263-018-0553-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Cognitive impairment affects many patients with multiple sclerosis (MS). NeuroTrax, a computerized cognitive screen that can be administered during routine clinical care, provides a consistent, validated, objective cognitive profile measure with a global cognitive score (GCS) and seven individual domain scores. Natalizumab is an efficacious therapy for relapsing MS, demonstrating reductions in disability worsening and MS disease activity measured by magnetic resonance imaging. OBJECTIVE The aim of this study was to assess cognitive function as measured by NeuroTrax in MS patients treated with natalizumab for ≥ 2 years. METHODS This retrospective observational study included adult MS patients in the United States who received 300 mg intravenous natalizumab every 4 weeks for ≥ 2 years. NeuroTrax data were evaluated at baseline and yearly thereafter. Changes in GCS and the seven individual cognitive domain scores from baseline to after 24 infusions of natalizumab were analyzed. RESULTS In the study population at baseline (N = 52), 22 patients (42.3%) had disease duration of 0-5 years; 12 patients (23.1%) were treatment naive. GCS score improved significantly from baseline [mean 95.5, standard deviation (SD) 12.9] to year 2 (mean 98.9, SD 13.2; change from baseline 3.4; p = 0.003). After 2 years on natalizumab, 17 patients (32.7%) demonstrated clinically significant improvement (increase from baseline > 1 SD) in GCS. Results were similar regardless of whether patients had previously received MS therapy. CONCLUSIONS Patients treated with natalizumab demonstrated significant improvement in cognitive function, measured by NeuroTrax GCS, over 2 years of treatment.
Collapse
Affiliation(s)
| | | | - Myassar Zarif
- South Shore Neurologic Associates, Patchogue, NY USA
| | | | - Lori Fafard
- South Shore Neurologic Associates, Patchogue, NY USA
| | - Jeffrey Wilken
- Washington Neuropsychology Research Group LLC, Fairfax, VA USA
| | - Karen Blitz
- South Shore Neurologic Associates, Patchogue, NY USA
| | | | | | | | - Lily Lee
- Biogen, 225 Binney Street, Cambridge, MA, 02142, USA.
| |
Collapse
|