Outcome Measures and Biomarkers for Clinical Trials in Hereditary Spastic Paraplegia: A Scoping Review

Author:

Siow Sue-Faye12ORCID,Yeow Dennis13456ORCID,Rudaks Laura I.1245ORCID,Jia Fangzhi1ORCID,Wali Gautam13ORCID,Sue Carolyn M.1367,Kumar Kishore R.1457ORCID

Affiliation:

1. Sydney Medical School, University of Sydney, Camperdown 2050, Australia

2. Department of Clinical Genetics, Royal North Shore Hospital, St Leonards 2065, Australia

3. Neuroscience Research Australia, University of New South Wales, Randwick 2031, Australia

4. Rare Disease Program, Garvan Institute of Medical Research, Darlinghurst 2010, Australia

5. Translational Neurogenomics Group, Molecular Medicine Laboratory and Department of Neurology, Concord Hospital, Concord 2139, Australia

6. Neurodegenerative Service, Prince of Wales Hospital, Randwick 2031, Australia

7. School of Clinical Medicine, UNSW Medicine & Health, University of New South Wales, Kensington 2052, Australia

Abstract

Hereditary spastic paraplegia (HSP) is characterized by progressive lower limb spasticity. There is no disease-modifying treatment currently available. Therefore, standardized, validated outcome measures to facilitate clinical trials are urgently needed. We performed a scoping review of outcome measures and biomarkers for HSP to provide recommendations for future studies and identify areas for further research. We searched Embase, Medline, Scopus, Web of Science, and the Central Cochrane database. Seventy studies met the inclusion criteria, and eighty-three outcome measures were identified. The Spastic Paraplegia Rating Scale (SPRS) was the most widely used (27 studies), followed by the modified Ashworth Scale (18 studies) and magnetic resonance imaging (17 studies). Patient-reported outcome measures (PROMs) were infrequently used to assess treatment outcomes (28% of interventional studies). Diffusion tensor imaging, gait analysis and neurofilament light chain levels were the most promising biomarkers in terms of being able to differentiate patients from controls and correlate with clinical disease severity. Overall, we found variability and inconsistencies in use of outcome measures with a paucity of longitudinal data. We highlight the need for (1) a standardized set of core outcome measures, (2) validation of existing biomarkers, and (3) inclusion of PROMs in HSP clinical trials.

Funder

National Health and Medical Research Council

Australian and New Zealand Association of Neurologists

Publisher

MDPI AG

Subject

Genetics (clinical),Genetics

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