DOI 10.3109/21678421.2014.896927
A novel tool to detect behavioural symptoms in ALS.
Аннотация
There is need for a valid, sensitive and short instrument capable of detecting and quantifying behavioural changes in ALS, which can be utilized in clinical and research settings. This study aimed to 1) develop and validate such an instrument; 2) verify the most common behavioural symptoms; and 3) investigate longitudinal changes over a six-month period. Two hundred and nineteen patients were included. The development sample (n = 140) was used to determine the most appropriate items to include in the new tool, the Motor Neuron Disease Behavioural Instrument (MiND-B) * , via a data-driven approach. An independent sample (n = 79) validated the tool. A more comprehensive sample (n = 50, sub-classified into ALS and ALS plus) was utilized to verify if the MiND-B could detect ALS plus patients. Finally, 20 ALS patients completed the MiND-B after a six-month period. Apathy, disinhibition and stereotypical behaviour were all found to be very common symptoms in ALS occurring in 75%, 66% and 58%, respectively, of cases. Notably, the MiND-B could identify ALS plus patients without standard cognitive assessments. In conclusion, the MiND-B tool can detect patients with ALS plus reliably, by means of questions to the informant. This test could enable ALS centres to evaluate non-motor symptoms and adapt management and decision-making approaches as necessary. *only available in the online version of the journal. Please find this material with the following direct link to the article: http://www.informahealthcare.com/(DOI: 10.3109/21678421.2014.896927).
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.