Literature DB >> 19458525

Disability and functional profiles of patients with myasthenia gravis measured with ICF classification.

Matilde Leonardi1, Alberto Raggi, Carlo Antozzi, Paolo Confalonieri, Lorenzo Maggi, Ferdinando Cornelio, Renato Mantegazza.   

Abstract

The objective of this study is to describe functional profiles of patients with myasthenia gravis (MG), and the relationships among symptoms, activities and environmental factors (EF), by using WHO's International Classification of Functioning Disability and Health (ICF). Patients were consecutively enrolled at the Besta Institute of Milan, Italy. The ICF checklist was administered and two count-based indices were developed: 'extension', containing ICF categories rated with qualifiers 1-4, and 'severity', containing ICF categories rated with qualifiers 3-4. Spearman's correlation was performed to identify the relationships among symptoms, activities and EF, and linear regressions to identify the best predictors of performance indices in the activities and participation (A and P) domains. One hundred and one patients joined this study. Different values are reported in capacity and performance, the latter being 17.1% less limited in 'extension' and 13% in 'severity' index. Higher correlation indices are observed between A and P and body functions (BFs), than between A and P and EF. Problems in A and P are better explained by BF impairments than by facilitators within EF. In conclusion, EF plays a relevant role in improving MG patients' functioning. Nevertheless, difficulties in A and P, such as lifting objects or doing housework, are explained more by impairments in BF (e.g. in muscle endurance) than by the effect of EF (e.g. drugs and the support of family members). Methodologies and tools are needed to couple symptoms assessment with an evaluation of difficulties in executing activities and the environment's role, to plan appropriate interventions to meet MG patients' needs, especially in the labour sector, as 20% of patients gave up working before the retirement age.

Entities:  

Mesh:

Year:  2009        PMID: 19458525     DOI: 10.1097/MRR.0b013e32831e4587

Source DB:  PubMed          Journal:  Int J Rehabil Res        ISSN: 0342-5282            Impact factor:   1.479


  3 in total

1.  A population survey in Italy based on the ICF classification: recognizing persons with severe disability.

Authors:  Matilde Leonardi; Andrea Martinuzzi; Paolo Meucci; Marina Sala; Emanuela Russo; Mara Buffoni; Alberto Raggi
Journal:  ScientificWorldJournal       Date:  2012-02-01

2.  A conceptual framework for evaluating impairments in myasthenia gravis.

Authors:  Carolina Barnett; Vera Bril; Moira Kapral; Abhaya Kulkarni; Aileen M Davis
Journal:  PLoS One       Date:  2014-05-20       Impact factor: 3.240

3.  Labour market participation and sick leave among patients diagnosed with myasthenia gravis in Denmark 1997-2011: a Danish nationwide cohort study.

Authors:  Asger Frost; Marie Louise Svendsen; Jes Rahbek; Christina Malmose Stapelfeldt; Claus Vinther Nielsen; Thomas Lund
Journal:  BMC Neurol       Date:  2016-11-17       Impact factor: 2.474

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.