"If you cannot measure it, you cannot improve it". Outcome measures in Duchenne Muscular Dystrophy: current and future perspectives.

Autor: Benemei S; Medical Affairs, Pfizer Italy, Rome, Italy. silvia.benemei@pfizer.com., Gatto F; Medical Affairs, Pfizer Italy, Rome, Italy., Boni L; U.O. Epidemiologia Clinica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy., Pane M; Nemo Clinical Centre, Fondazione Policlinico Universitario A. Gemelli IRCSS, Università Cattolica del Sacro Cuore, Rome, Italy.
Jazyk: angličtina
Zdroj: Acta neurologica Belgica [Acta Neurol Belg] 2024 Jul 31. Date of Electronic Publication: 2024 Jul 31.
DOI: 10.1007/s13760-024-02600-2
Abstrakt: Duchenne Muscular Dystrophy (DMD) is an X-linked recessive neuromuscular disorder primarily affecting males, caused by mutations in the dystrophin gene. The absence of dystrophin protein leads to progressive skeletal muscle degeneration. Recent advances in the therapeutic landscape underscore the need to identify appropriate outcome measures to assess treatment efficacy in ambulant and non-ambulant DMD patients, across clinical and research settings. This is essential for accurately evaluating new treatments and attributing therapeutic benefits.It is crucial to establish a robust correlation between outcome scores and disease progression patterns. This task is challenging since functional test performance may be influenced by different patient's characteristics, including the physiological evolution of the neurodevelopment together with the disease progression. While widely used DMD outcomes such as the North Star Ambulatory Assessment, the 6-Minute Walking Test, the 4 stairs climbed, and the Performance of the Upper Limb exhibit reliability and validity, their clinical significance is influenced by the wide phenotype and progression variability of the disease.We present and discuss the features (relevance, quantifiability, validity, objectivity, reliability, sensitivity, specificity, precision) of available DMD outcome measures, including new potential measures that may be provided by digital tools and artificial intelligence.
(© 2024. The Author(s).)
Databáze: MEDLINE
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