Normative values of the brief international cognitive assessment for multiple sclerosis (BICAMS) in an Italian young adolescent population: the influence of age, sex, and education
Background The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) is the most widely used in clinical practice and the least time-consuming battery to estimate cognitive function in adults with Multiple Sclerosis (MS), while it has been included in few studies on young MS, also...
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Published in | Neurological sciences Vol. 46; no. 4; pp. 1777 - 1782 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
01.04.2025
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1590-1874 1590-3478 1590-3478 |
DOI | 10.1007/s10072-024-07900-2 |
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Abstract | Background
The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) is the most widely used in clinical practice and the least time-consuming battery to estimate cognitive function in adults with Multiple Sclerosis (MS), while it has been included in few studies on young MS, also because of the absence of normative values.
Objective
The aim of this study is to evaluate the impact of age, sex and education on BICAMS scores in a young adolescent population.
Methods
We administered the BICAMS to 169, 11-to-18-year-old, healthy subjects. Linear regression models were used to assess the impact of age, sex, and education on sub-test scores. When statistically significant (
p
< 0.05), we used the regression coefficient to correct the raw scores.
Results
younger age was associated with worse performance on SDMT (
β
= 1.76;
p
< 0.05), CVLT-II (
β
= 3.33;
p
< 0.05) and BVMT-R (
β
= 0.62;
p
< 0.05). Female sex was associated SDMT (
β
= 2.75 (
p
< 0.05) and CVLT-II (
β
= 2.51 (
p
< 0.05). Educational attainment was associated with better performance on SDMT (
β
= 1.79 (
p
= < 0.05) and BVMT-R (
β
= 0.61;
p
< 0.05). Cut-off points were suggested at the 5th lowest percentile.
Conclusion
Age, sex, and education must be accounted for when applying the BICAMS to young population. Its use in everyday assessment of patients with Pediatric Onset Multiple Sclerosis (POMS) could help to compare and combine data across centers, identifying patients requiring a comprehensive evaluation and ad hoc cognitive stimulation programs. |
---|---|
AbstractList | The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) is the most widely used in clinical practice and the least time-consuming battery to estimate cognitive function in adults with Multiple Sclerosis (MS), while it has been included in few studies on young MS, also because of the absence of normative values.
The aim of this study is to evaluate the impact of age, sex and education on BICAMS scores in a young adolescent population.
We administered the BICAMS to 169, 11-to-18-year-old, healthy subjects. Linear regression models were used to assess the impact of age, sex, and education on sub-test scores. When statistically significant (p < 0.05), we used the regression coefficient to correct the raw scores.
younger age was associated with worse performance on SDMT (β = 1.76; p < 0.05), CVLT-II (β = 3.33; p < 0.05) and BVMT-R (β = 0.62; p < 0.05). Female sex was associated SDMT (β = 2.75 (p < 0.05) and CVLT-II (β = 2.51 (p < 0.05). Educational attainment was associated with better performance on SDMT (β = 1.79 (p = < 0.05) and BVMT-R (β = 0.61; p < 0.05). Cut-off points were suggested at the 5th lowest percentile.
Age, sex, and education must be accounted for when applying the BICAMS to young population. Its use in everyday assessment of patients with Pediatric Onset Multiple Sclerosis (POMS) could help to compare and combine data across centers, identifying patients requiring a comprehensive evaluation and ad hoc cognitive stimulation programs. BackgroundThe Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) is the most widely used in clinical practice and the least time-consuming battery to estimate cognitive function in adults with Multiple Sclerosis (MS), while it has been included in few studies on young MS, also because of the absence of normative values.ObjectiveThe aim of this study is to evaluate the impact of age, sex and education on BICAMS scores in a young adolescent population.MethodsWe administered the BICAMS to 169, 11-to-18-year-old, healthy subjects. Linear regression models were used to assess the impact of age, sex, and education on sub-test scores. When statistically significant (p < 0.05), we used the regression coefficient to correct the raw scores.Resultsyounger age was associated with worse performance on SDMT (β = 1.76; p < 0.05), CVLT-II (β = 3.33; p < 0.05) and BVMT-R (β = 0.62; p < 0.05). Female sex was associated SDMT (β = 2.75 (p < 0.05) and CVLT-II (β = 2.51 (p < 0.05). Educational attainment was associated with better performance on SDMT (β = 1.79 (p = < 0.05) and BVMT-R (β = 0.61; p < 0.05). Cut-off points were suggested at the 5th lowest percentile.ConclusionAge, sex, and education must be accounted for when applying the BICAMS to young population. Its use in everyday assessment of patients with Pediatric Onset Multiple Sclerosis (POMS) could help to compare and combine data across centers, identifying patients requiring a comprehensive evaluation and ad hoc cognitive stimulation programs. Background The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) is the most widely used in clinical practice and the least time-consuming battery to estimate cognitive function in adults with Multiple Sclerosis (MS), while it has been included in few studies on young MS, also because of the absence of normative values. Objective The aim of this study is to evaluate the impact of age, sex and education on BICAMS scores in a young adolescent population. Methods We administered the BICAMS to 169, 11-to-18-year-old, healthy subjects. Linear regression models were used to assess the impact of age, sex, and education on sub-test scores. When statistically significant ( p < 0.05), we used the regression coefficient to correct the raw scores. Results younger age was associated with worse performance on SDMT ( β = 1.76; p < 0.05), CVLT-II ( β = 3.33; p < 0.05) and BVMT-R ( β = 0.62; p < 0.05). Female sex was associated SDMT ( β = 2.75 ( p < 0.05) and CVLT-II ( β = 2.51 ( p < 0.05). Educational attainment was associated with better performance on SDMT ( β = 1.79 ( p = < 0.05) and BVMT-R ( β = 0.61; p < 0.05). Cut-off points were suggested at the 5th lowest percentile. Conclusion Age, sex, and education must be accounted for when applying the BICAMS to young population. Its use in everyday assessment of patients with Pediatric Onset Multiple Sclerosis (POMS) could help to compare and combine data across centers, identifying patients requiring a comprehensive evaluation and ad hoc cognitive stimulation programs. The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) is the most widely used in clinical practice and the least time-consuming battery to estimate cognitive function in adults with Multiple Sclerosis (MS), while it has been included in few studies on young MS, also because of the absence of normative values.BACKGROUNDThe Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) is the most widely used in clinical practice and the least time-consuming battery to estimate cognitive function in adults with Multiple Sclerosis (MS), while it has been included in few studies on young MS, also because of the absence of normative values.The aim of this study is to evaluate the impact of age, sex and education on BICAMS scores in a young adolescent population.OBJECTIVEThe aim of this study is to evaluate the impact of age, sex and education on BICAMS scores in a young adolescent population.We administered the BICAMS to 169, 11-to-18-year-old, healthy subjects. Linear regression models were used to assess the impact of age, sex, and education on sub-test scores. When statistically significant (p < 0.05), we used the regression coefficient to correct the raw scores.METHODSWe administered the BICAMS to 169, 11-to-18-year-old, healthy subjects. Linear regression models were used to assess the impact of age, sex, and education on sub-test scores. When statistically significant (p < 0.05), we used the regression coefficient to correct the raw scores.younger age was associated with worse performance on SDMT (β = 1.76; p < 0.05), CVLT-II (β = 3.33; p < 0.05) and BVMT-R (β = 0.62; p < 0.05). Female sex was associated SDMT (β = 2.75 (p < 0.05) and CVLT-II (β = 2.51 (p < 0.05). Educational attainment was associated with better performance on SDMT (β = 1.79 (p = < 0.05) and BVMT-R (β = 0.61; p < 0.05). Cut-off points were suggested at the 5th lowest percentile.RESULTSyounger age was associated with worse performance on SDMT (β = 1.76; p < 0.05), CVLT-II (β = 3.33; p < 0.05) and BVMT-R (β = 0.62; p < 0.05). Female sex was associated SDMT (β = 2.75 (p < 0.05) and CVLT-II (β = 2.51 (p < 0.05). Educational attainment was associated with better performance on SDMT (β = 1.79 (p = < 0.05) and BVMT-R (β = 0.61; p < 0.05). Cut-off points were suggested at the 5th lowest percentile.Age, sex, and education must be accounted for when applying the BICAMS to young population. Its use in everyday assessment of patients with Pediatric Onset Multiple Sclerosis (POMS) could help to compare and combine data across centers, identifying patients requiring a comprehensive evaluation and ad hoc cognitive stimulation programs.CONCLUSIONAge, sex, and education must be accounted for when applying the BICAMS to young population. Its use in everyday assessment of patients with Pediatric Onset Multiple Sclerosis (POMS) could help to compare and combine data across centers, identifying patients requiring a comprehensive evaluation and ad hoc cognitive stimulation programs. |
Author | Lamagna, Federica Carotenuto, Antonio Chiodi, Alessandro Trojano, Luigi Lanzillo, Roberta Morra, Vincenzo Brescia Eliano, Martina Lus, Giacomo di Monaco, Cristina Moccia, Marcello Liccardo, Tiziana Lauro, Francesca Falco, Fabrizia |
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Keywords | BICAMS Multiple sclerosis Cognitive Cognition Pediatric |
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References | B Goretti (7900_CR11) 2014; 35 W Brola (7900_CR1) 2020; 54 MM Langille (7900_CR2) 2019; 66 L Mottram (7900_CR13) 2005; 17 B Goretti (7900_CR6) 2014; 14 F Corfield (7900_CR7) 2018; 7 E Portaccio (7900_CR8) 2022; 145 MP Amato (7900_CR10) 2006; 12 JR O’Jile (7900_CR12) 2005; 27 A de Chalus (7900_CR4) 2021; 50 F Falco (7900_CR5) 2019; 40 F Saccà (7900_CR14) 2017; 23 M Moccia (7900_CR9) 2016; 22 JB Parrish (7900_CR3) 2019; 6 |
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The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) is the most widely used in clinical practice and the least... The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) is the most widely used in clinical practice and the least time-consuming battery... BackgroundThe Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) is the most widely used in clinical practice and the least... |
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SubjectTerms | Adolescent Age Age Factors Child Cognitive ability Education Educational Status Female Humans Italy Male Medicine Medicine & Public Health Multiple sclerosis Multiple Sclerosis - complications Multiple Sclerosis - diagnosis Multiple Sclerosis - psychology Neurology Neuropsychological Tests - standards Neuroradiology Neurosurgery Original Article Patients Pediatrics Psychiatry Reference Values Regression analysis Sex Sex Factors Statistical analysis |
Title | Normative values of the brief international cognitive assessment for multiple sclerosis (BICAMS) in an Italian young adolescent population: the influence of age, sex, and education |
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