Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease

  • Martins N
  • Asano N
  • Lins C
  • et al.
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Abstract

Abstract Objective: to analyze demographic and clinical variables as predictors of cognitive disorders in Parkinson’s disease (PD). Method: a cross-sectional descriptive study was carried out at the Pro-Parkinson Program of the Hospital das Clínicas of the Federal University of Pernambuco. The instruments used were the Mini Mental State Examination (MMSE), Scales for Outcomes in Parkinson’s disease - Cognition (SCOPA-COG), the Hoehn & Yahr Staging Scale (HY), the Unified Parkinson’s Disease Rating Scale part 3 (UPDRS-III), and the 15-item Yesavage Geriatric Depression Scale (GDS-15). A multiple linear regression model was used for the predictive outcome and the Mann-Whitney test was used to compare the elderly and the non-elderly groups. Results: the sociodemographic data of 85 people were collected and the participants underwent a cognitive profile evaluation (MMSE and SCOPA-COG) and clinical evaluation (HY, UPDRS-III, GDS-15). Multiple regression analysis found significant results for age, work activity, and tremor index, explaining 59% of the variability of SCOPA-COG. There was an inverse correlation with age and work activity and a direct correlation with tremors. The SCOPA-COG and MEEM scores were significantly lower in elderly patients, with an emphasis on executive functions. Conclusion: the predictors of cognitive impairment were age, work activity, and tremors. Cognitive impairment was greater in elderly patients with PD, especially for executive functions.Resumo Objetivo: Analisar variáveis demográficas e clínicas como preditoras diferenciais de alteração cognitiva na Doença de Parkinson (DP). Método: Trata-se de um estudo descritivo de corte transversal desenvolvido no Programa Pró-Parkinson do Hospital das Clínicas da Universidade Federal de Pernambuco. Os instrumentos de medida utilizados foram Mini Exame do Estado Mental (MEEM), Scales for Outcomes in Parkinson’s disease - Cognition (SCOPA-COG), Escala de Estadiamento de Hoehn & Yahr (HY), Escala Unificada de Avaliação da Doença de Parkinson sessão 3 (UPDRS-III) e Escala de Depressão Geriátrica de Yesavage, 15 itens (GDS-15). Um modelo de regressão linear múltiplo foi utilizado para o desfecho preditivo e o Teste de Mann-Whitney para comparação entre os grupos idoso vs não idoso. Resultados: Os dados sociodemográficos de 85 pessoas foram coletados e os participantes foram submetidos à avaliação do perfil cognitivo (MEEM e SCOPA-COG) e clínico (HY, UPDRS-III, GDS-15). A análise de regressão múltipla foi significativa para a idade, atividade laboral e índice de tremor explicando 59% da variabilidade do SCOPA-COG. A idade e a atividade laboral apresentaram correlação inversa e o tremor, correlação direta. Os escores do SCOPA-COG e do MEEM foram significativamente menores nos pacientes idosos, com destaque para as funções executivas. Conclusão: As variáveis preditoras de comprometimento cognitivo foram a idade, atividade laboral e o tremor. O comprometimento cognitivo foi maior nos pacientes com DP idosos, com destaque para as funções executivas.

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APA

Martins, N. I. M., Asano, N. M. J., Lins, C. C. dos S. A., & Coriolano, M. das G. W. de S. (2019). Demographic and clinical variables as differentiating predictors of cognitive disorders in Parkinson’s disease. Revista Brasileira de Geriatria e Gerontologia, 22(1). https://doi.org/10.1590/1981-22562019022.180141

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