Article ; Online: The facioscapulohumeral muscular dystrophy - health index: Italian validation of a disease-specific measure of symptomatic burden.
2023 , Page(s) 1–8
Abstract: Purpose: The aim of this study was to adapt the Facioscapulohumeral Muscular Dystrophy - Health Index (FSHD-HI) to an Italian population affected by FSHD by translating, validating, and testing this instrument in an Italian cohort.: Materials and ... ...
Abstract | Purpose: The aim of this study was to adapt the Facioscapulohumeral Muscular Dystrophy - Health Index (FSHD-HI) to an Italian population affected by FSHD by translating, validating, and testing this instrument in an Italian cohort. Materials and methods: Italian FSHD patients were interviewed regarding the form and content of the translated instrument. Subsequently, forty FSHD patients were recruited to test the reliability (Intraclass Correlation Coefficient, ICC for test-retest; and Cronbach's Alpha for Internal consistency), known groups (Mann-Whitney U test and Area Under the Curve, AUC) and concurrent validity (Pearson's and Spearman's Rank Correlation Coefficient) of the instrument by serially completing the FSHD-HI and an extensive set of tests measuring the neuromotor, psychological and cognitive functions, and perceived quality of life (QoL) aspects. Results: The Italian translation of the FSHD-HI and its subscales were highly relevant to patients, had a high internal consistency (Cronbach's Alpha = 0.90), optimal test-retest reliability (ICC= 0.95), and was significantly associated with motor function, respiratory function, and QoL assessments. Conclusions: Overall, the Italian FSHD-HI is a valid and well-suited measurement of the multi-dimensional aspects of disease burden in FSHD patients. |
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Language | English |
Publishing date | 2023-05-17 |
Publishing country | England |
Document type | Journal Article |
ZDB-ID | 1104775-6 |
ISSN | 1464-5165 ; 0963-8288 |
ISSN (online) | 1464-5165 |
ISSN | 0963-8288 |
DOI | 10.1080/09638288.2023.2212181 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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