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Portaccio E, Grossi P, Bellomi F, Bianchi V, Cilia S, Falautano M, Goretti B, Niccolai C, Pietrolongo E, Viterbo RG, Amato MP. Meaningful cognitive change for the Minimal Assessment of Cognitive Function in Multiple Sclerosis. Mult Scler 2024; 30:868-876. [PMID: 38717089 DOI: 10.1177/13524585241249084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
BACKGROUND There is limited information on interpretation of cognitive changes over time in multiple sclerosis (MS). OBJECTIVE This study aimed to provide normative data for the assessment of statistically meaningful change in all tests of the Minimal Assessment of Cognitive Function in MS (MACFIMS). METHODS We applied the reliable change methodology to a healthy Italian cohort, assessed with two alternate versions of the MACFIMS 1 year apart. We calculated confidence intervals of retest score variance using the reliable change index (RCI). Moreover, multivariable linear regression models adjusted for age, sex, education, and baseline score were built to calculate the regression-based change index (RB-CI). RESULTS Overall, 200 healthy individuals were enrolled. Thresholds for interpreting change in each test were calculated. In the multivariable models, baseline score was associated with retest score in all tests (B from 0.439 to 0.760; p < 0.001). RB-CI can be calculated with data of the multivariable models. CONCLUSION We provide normative data for reliable cognitive change evaluation for all the tests of the MACFIMS, which includes the Symbol Digit Modalities Test and Brief International Cognitive Assessment in MS, two widely used tools for screening and monitoring cognition in MS. Our findings can significantly improve the interpretation of cognitive changes in MS.
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Affiliation(s)
- Emilio Portaccio
- Department of Neurofarba, University of Florence, Florence, Italy
| | | | - Fabio Bellomi
- SSD Psicologia Clinica-ASST Spedali Civili di Brescia, Brescia, Italy
| | | | | | | | | | | | - Erika Pietrolongo
- Department of Neuroscience, Imaging and Clinical Sciences, University of G. D'Annunzio, Chieti, Italy
- Department of Mental Health, ASL 4 Teramo, Teramo, Italy
| | - Rosa Gemma Viterbo
- MS Centre, Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Maria Pia Amato
- Department of Neurofarba, University of Florence, Florence, Italy
- IRCCS Don Carlo Gnocchi Foundation, Florence, Italy
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Tedone N, Vizzino C, Meani A, Gallo A, Altieri M, D'Ambrosio A, Pantano P, Piervincenzi C, Tommasin S, De Stefano N, Cortese R, Stromillo ML, Rocca MA, Filippi M. The brief repeatable battery of neuropsychological tests (BRB-N) version a: update of Italian normative data from the Italian Neuroimaging Network Initiative (INNI). J Neurol 2024; 271:1813-1823. [PMID: 38060030 DOI: 10.1007/s00415-023-12108-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/12/2023] [Accepted: 11/09/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Cognitive impairment is a common clinical manifestation in people with multiple sclerosis (PwMS) and significantly impacts patients' quality life. Cognitive assessment is crucial for treatment decisions and understanding disease progression. Several neuropsychological batteries are used in MS, including the Brief Repeatable Battery of Neuropsychological Tests (BRB-N), Minimal Assessment of Cognitive Function in MS (MACFIMS), and Brief International Cognitive Assessment for MS (BICAMS). However, normative data for BRB-N version A in Italy are outdated. OBJECTIVES To revise and update normative data for the BRB-N version A in the Italian population. METHODS From the Italian Neuroimaging Network Initiative (INNI) database, we retrospectively selected 342 healthy subjects (172 males and 170 females) evaluated at four Italian INNI-affiliated sites (Milan, Siena, Rome, Naples). The subjects underwent neuropsychological assessment using the BRB-N version A. Regression-based method relying on scaled scores was used to calculate demographic correction procedures. RESULTS No significant differences were found in age, education, and sex distribution among the four sites (p ≥ 0.055). Regression analysis provided normative data to calculate demographically adjusted z-scores for each BRB-N version A test. DISCUSSION This study provides updated normative data for the BRB-N version A in the Italian population. The use of a regression-based method and scaled scores ensures consistency with other neuropsychological batteries commonly used in Italy, namely MACFIMS and BICAMS. The availability of updated normative data increases reliability of neuropsychological assessment of cognitive function in Italian PwMS and other clinical populations using BRB-N version A, providing valuable insights for both clinical and research applications.
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Affiliation(s)
- Nicolò Tedone
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Carmen Vizzino
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Alessandro Meani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, and 3T MRI-Center, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Manuela Altieri
- Department of Advanced Medical and Surgical Sciences, and 3T MRI-Center, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Alessandro D'Ambrosio
- Department of Advanced Medical and Surgical Sciences, and 3T MRI-Center, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Patrizia Pantano
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS NEUROMED, Pozzilli, Italy
| | - Claudia Piervincenzi
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS NEUROMED, Pozzilli, Italy
| | - Silvia Tommasin
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
- IRCCS NEUROMED, Pozzilli, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Rosa Cortese
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Maria L Stromillo
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
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Virgilio E, Vecchio D, Crespi I, Puricelli C, Barbero P, Galli G, Cantello R, Dianzani U, Comi C. Cerebrospinal fluid biomarkers and cognitive functions at multiple sclerosis diagnosis. J Neurol 2022; 269:3249-3257. [PMID: 35088141 DOI: 10.1007/s00415-021-10945-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 12/21/2021] [Accepted: 12/22/2021] [Indexed: 02/06/2023]
Abstract
Cognitive impairment (CI) is a frequent and disabling symptom in Multiple Sclerosis (MS). Axonal damage may contribute to CI development from early stages. Nevertheless, no biomarkers are at the moment available to track CI in MS patients. We aimed to explore the correlation of cerebrospinal fluid (CSF) axonal biomarkers, in particular: light-chain neurofilaments (NFL), Tau, and Beta-amyloid protein (Abeta) in MS patients with CI at the diagnosis. 62 newly diagnosed MS patients were enrolled, and cognition was evaluated using the Brief International Cognitive Assessment for MS (BICAMS) battery. CSF NFL, Abeta, and Tau levels were determined with commercial ELISA. Patients with CI (45.1%) did not differ for demographic, clinical, and MRI characteristics (except for lower educational level), but they displayed greater neurodegeneration, exhibiting higher mean CSF Tau protein (162.1 ± 52.96 pg/ml versus 132.2 ± 63.86 pg/ml p:0.03). No differences were observed for Abeta and NFL. The number of impaired tests and Tau were significantly correlated (r:0.32 p:0.01). Tau was higher in particular in patients with slowed information processing speed (IPS) (p:0.006) and a linear regression analysis accounting for EDSS, MRI, and MS subtype confirmed Tau as a weak predictor of IPS and cognitive impairment. In conclusion, CI has an important burden on the quality of life of MS patients and should be looked for even at diagnosis. Axonal damage biomarkers, and in particular Tau, seem to reflect cognition impairment in the early stages.
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Affiliation(s)
- Eleonora Virgilio
- Department of Translational Medicine, Neurology Unit, Maggiore Della Carità Hospital, University of Piemonte Orientale, Corso Mazzini 18, 28100, Novara, Italy. .,Phd Program in Medical Sciences and Biotechnologies, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy. .,Department of Translational Medicine, Neurology Unit, S. Andrea Hospital, University of Piemonte Orientale, Vercelli, Italy.
| | - Domizia Vecchio
- Department of Translational Medicine, Neurology Unit, Maggiore Della Carità Hospital, University of Piemonte Orientale, Corso Mazzini 18, 28100, Novara, Italy.,Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), University of Piemonte Orientale, Novara, Italy
| | - Ilaria Crespi
- Department of Health Sciences, Clinical Biochemistry, University of Piemonte Orientale, Novara, Italy
| | - Chiara Puricelli
- Department of Health Sciences, Clinical Biochemistry, University of Piemonte Orientale, Novara, Italy
| | - Paolo Barbero
- Department of Translational Medicine, Neurology Unit, Maggiore Della Carità Hospital, University of Piemonte Orientale, Corso Mazzini 18, 28100, Novara, Italy
| | - Giulia Galli
- Department of Translational Medicine, Neurology Unit, Maggiore Della Carità Hospital, University of Piemonte Orientale, Corso Mazzini 18, 28100, Novara, Italy
| | - Roberto Cantello
- Department of Translational Medicine, Neurology Unit, Maggiore Della Carità Hospital, University of Piemonte Orientale, Corso Mazzini 18, 28100, Novara, Italy
| | - Umberto Dianzani
- Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), University of Piemonte Orientale, Novara, Italy.,Department of Health Sciences, Clinical Biochemistry, University of Piemonte Orientale, Novara, Italy
| | - Cristoforo Comi
- Department of Translational Medicine, Neurology Unit, S. Andrea Hospital, University of Piemonte Orientale, Vercelli, Italy.,Department of Health Sciences, Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), University of Piemonte Orientale, Novara, Italy
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