Cognitive Complaints Assessment and Neuropsychiatric Disorders After Mild COVID-19 Infection.

OBJECTIVES: This study aimed to analyze cognitive impairment associated with long-term coronavirus disease 2019 (COVID-19) syndrome and its correlation with anxiety, depression, and fatigue in patients infected with severe acute respiratory syndrome coronavirus. METHODS: This was a cross-sectional study of 127 patients with COVID-19. Tests to screen for neuropsychiatric symptoms included the Fatigue Severity Scale, Mini-Mental State Exam 2 (MMSE-2), Symbol Digit Modalities Test (SDMT), and Hospital Anxiety and Depression Scale. RESULTS: In cognitive tests, SDMT was abnormal in 22%, being more sensitive than MMSE-2 to detect cognitive changes. Furthermore, although manifestations such as fatigue, depression, and anxiety were frequent in the post-COVID-19 phase, these 3 conditions, known to contribute to cognitive impairment, were slightly correlated with worse performance on the rapid screening tests. CONCLUSIONS: In patients with mild COVID-19 and cognitive complaints, SDMT helped to confirm disturbances in the attention domain and processing speed.

Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS): discrete and regression-based norms for the Brazilian context / Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS): normas discretas e regressivas para o contexto brasileiro

ABSTRACT Background: The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) has been recently developed as a brief, practical, and feasible tool for cognitive impairment in multiple sclerosis (MS). Objective: This study aimed to provide continuous and discrete normative values for the BICAMS in the Brazilian context. Methods: Normatization was achieved using six hundred and one healthy controls from the community assessed at five Brazilian geopolitical regions. Results: Mean raw scores, T scores, percentiles, and Z scores for each BICAMS measure are provided, stratified by age and educational level. Regression-based norms were provided by converting raw scores to scaled scores, which were regressed on age, gender, and education, yielding equations that can be used to calculate the predicted scores. Regression analyses revealed that age, gender, and education significantly influenced test results, as in previous studies. Conclusions: The normative data of the BICAMS to the Brazilian context presented good representativeness, improving its use in daily clinical practice.

RESUMO Antecedentes: O BICAMS foi desenvolvido como uma ferramenta breve, prática e confiável para avaliar o comprometimento cognitivo na esclerose múltipla (EM). Objetivo: Neste estudo, objetivamos fornecer dados normativos para o BICAMS. Métodos: Normatização foi realizada com seiscentos e um controles saudáveis​​ da comunidade avaliados das cinco regiões geopolíticas brasileiras. Resultados: Escores brutos médios, escore T, percentil e escore Z para cada medida do BICAMS são fornecidos e estratificados por idade e nível educacional. Normas baseadas em regressão foram obtidas através da conversão dos pontos brutos em pontos ponderados, produzindo parâmetros de regressão que podem ser usados para calcular os escores preditos. As análises de regressão revelaram que idade, gênero e educação influenciaram significativamente nos resultados do teste, assim como em estudos prévios. Conclusão: Normas do BICAMS para o contexto brasileiro apresentaram boa representatividade, contribuindo para a utilização na prática clínica diária.

Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS): discrete and regression-based norms for the Brazilian context.

BACKGROUND: The Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) has been recently developed as a brief, practical, and feasible tool for cognitive impairment in multiple sclerosis (MS). OBJECTIVE: This study aimed to provide continuous and discrete normative values for the BICAMS in the Brazilian context. METHODS: Normatization was achieved using six hundred and one healthy controls from the community assessed at five Brazilian geopolitical regions. RESULTS: Mean raw scores, T scores, percentiles, and Z scores for each BICAMS measure are provided, stratified by age and educational level. Regression-based norms were provided by converting raw scores to scaled scores, which were regressed on age, gender, and education, yielding equations that can be used to calculate the predicted scores. Regression analyses revealed that age, gender, and education significantly influenced test results, as in previous studies. CONCLUSIONS: The normative data of the BICAMS to the Brazilian context presented good representativeness, improving its use in daily clinical practice.

Normative values of the Brief Repeatable Battery of Neuropsychological Tests in a Brazilian population sample: discrete and regression-based norms.

Objective Cognitive dysfunction is common in multiple sclerosis. The Brief Repeatable Battery of Neuropsychological Tests (BRB-N) was developed to assess cognitive functions most-frequently impaired in multiple sclerosis. However, normative values are lacking in Brazil. Therefore, we aimed to provide continuous and discrete normative values for the BRB-N in a Brazilian population sample. Methods We recruited 285 healthy individuals from the community at 10 Brazilian sites and applied the BRB-N version A in 237 participants and version B in 48 participants. Continuous norms were calculated with multiple-regression analysis. Results Mean raw scores and the 5th percentile for each neuropsychological measure are provided, stratified by age and educational level. Healthy participants' raw scores were converted to scaled scores, which were regressed on age, sex and education, yielding equations that can be used to calculate predicted scores. Conclusion Our normative data allow a more widespread use of the BRB-N in clinical practice and research.

Normative values of the Brief Repeatable Battery of Neuropsychological Tests in a Brazilian population sample: discrete and regression-based norms / Valores normativos da Brief Repeatable Battery of Neuropsychological Tests (BRB-N) em uma amostra da população Brasileira: dados discretos e contínuos

ABSTRACT Objective Cognitive dysfunction is common in multiple sclerosis. The Brief Repeatable Battery of Neuropsychological Tests (BRB-N) was developed to assess cognitive functions most-frequently impaired in multiple sclerosis. However, normative values are lacking in Brazil. Therefore, we aimed to provide continuous and discrete normative values for the BRB-N in a Brazilian population sample. Methods We recruited 285 healthy individuals from the community at 10 Brazilian sites and applied the BRB-N version A in 237 participants and version B in 48 participants. Continuous norms were calculated with multiple-regression analysis. Results Mean raw scores and the 5th percentile for each neuropsychological measure are provided, stratified by age and educational level. Healthy participants' raw scores were converted to scaled scores, which were regressed on age, sex and education, yielding equations that can be used to calculate predicted scores. Conclusion Our normative data allow a more widespread use of the BRB-N in clinical practice and research.

RESUMO Objetivo Disfunção cognitiva é comum em pacientes com esclerose múltipla. Por isto, a Brief Repeatable Battery of Neuropsychological Tests (BRB-N) foi desenvolvida para avaliar as funções cognitivas mais frequentemente alteradas na doença. Entretanto, estão faltando dados normativos desta bateria no Brasil. Assim, nosso objetivo foi fornecer valores normativos contínuos e discretos da BRB-N para a população brasileira. Métodos Foram recrutados 285 indivíduos sadios da comunidade em 10 centros do Brasil e aplicada a versão A em 237 e a versão B em 48 sujeitos. Normas contínuas foram calculadas com análise de regressão múltipla. Resultados Escores brutos médios e 5°percentil para cada subteste são fornecidos, estratificados por idade e nível educacional. Os escores brutos dos sujeitos sadios foram convertidos em escores de escalas e postos em regressão quanto a idade, sexo e educação, fornecendo equações que podem ser usadas para calcular escores previsíveis. Conclusão Nossos dados normativos permitem um uso mais amplo da BRB-N na prática clínica e na pesquisa, fornecendo normas para dados discretos e contínuos. Normas para dados discretos deveriam ser usadas com cuidado e escores demograficamente ajustados são geralmente preferidos quando interpretando dados neuropsicológicos.

Correlation of clinical findings and brain volume data in multiple sclerosis.

Brain volume measurements are becoming an important tool for assessing success in controlling multiple sclerosis (MS) activity. MSmetrix (icometrix) is an easy-to-use platform, specific for MS magnetic resonance imaging (MRI) of the brain. It provides data on total brain volume, grey matter volume and lesion load volume. The objective of the present study was to assess whether disability and the number of relapses during the previous year correlated with brain volume measurements from MSmetrix. Data on 185 icometrix reports from patients with MS were used to evaluate the potential correlation between brain volume measurements and clinical parameters. There was a significant correlation between higher disability and decreased brain volume (total and grey matter). Increased lesion load in the brain and higher number of relapses in the previous year were also independently correlated with decreased brain tissue volume and with increased disability. This is the first study with real-world data to show that icometrix is a relevant tool for the study of brain volume loss in MS.