Natural History of Friedreich's Ataxia: Heterogeneity of Neurological Progression and Consequences for Clinical Trial Design.


Journal

Neurology
ISSN: 1526-632X
Titre abrégé: Neurology
Pays: United States
ID NLM: 0401060

Informations de publication

Date de publication:
11 Jul 2022
Historique:
received: 05 11 2021
accepted: 16 05 2022
entrez: 11 7 2022
pubmed: 12 7 2022
medline: 12 7 2022
Statut: aheadofprint

Résumé

- The understanding of the natural history of Friedreich's ataxia has improved considerably recently, but patterns of neurologic deterioration are not fully clarified, compromising the assessment of the clinical relevance of effects and guidance for study design. The goal of this work was to acknowledge the broad genetic diversity of the population, especially with respect to younger individuals and to provide analyses stratified by age to guide population selection in future studies. - Based on a large natural history study, the Friedreich's Ataxia Clinical Outcome Measures study (FACOMS) that at the current data cut enrolled 1115 participants, followed up for 5287 yearly visits, we present results from the modified Friedreich's Ataxia Rating Scale and its sub scores. Secondary outcomes included the patient-reported activities of daily living scale, the timed 25-foot walk and the 9-hole peg test. Long-term progression was modeled using slope analyses within Early, Typical, Intermediate and Late Onset Friedreich's Ataxia. To reflect recruitment in clinical trials, short term changes were analyzed within age-based sub-populations. All analyses were stratified by ambulation status. - Long term progression models stratified by disease severity indicated highly differential disease progression, especially at earlier ages of onset. In the ambulatory phase, decline was driven by axial items assessed by the Upright Stability sub score of the mFARS. The analyses of short-term changes showed slower progression with increasing population age, as a result of decreasing genetic severity. Future clinical studies could reduce population diversity, inter-patient variability, and the risk of imbalanced treatment groups by selecting the study population based on the functional capacity (e.g., ambulatory status) and by strict age-based stratification. - Understanding of the diversity within Friedreich's ataxia populations and their patterns of functional decline provides an essential foundation for future clinical trial design including patient selection and facilitates the interpretation of the clinical relevance of progression detected in Friedreich's ataxia.

Sections du résumé

BACKGROUND BACKGROUND
- The understanding of the natural history of Friedreich's ataxia has improved considerably recently, but patterns of neurologic deterioration are not fully clarified, compromising the assessment of the clinical relevance of effects and guidance for study design. The goal of this work was to acknowledge the broad genetic diversity of the population, especially with respect to younger individuals and to provide analyses stratified by age to guide population selection in future studies.
METHODS METHODS
- Based on a large natural history study, the Friedreich's Ataxia Clinical Outcome Measures study (FACOMS) that at the current data cut enrolled 1115 participants, followed up for 5287 yearly visits, we present results from the modified Friedreich's Ataxia Rating Scale and its sub scores. Secondary outcomes included the patient-reported activities of daily living scale, the timed 25-foot walk and the 9-hole peg test. Long-term progression was modeled using slope analyses within Early, Typical, Intermediate and Late Onset Friedreich's Ataxia. To reflect recruitment in clinical trials, short term changes were analyzed within age-based sub-populations. All analyses were stratified by ambulation status.
FINDINGS RESULTS
- Long term progression models stratified by disease severity indicated highly differential disease progression, especially at earlier ages of onset. In the ambulatory phase, decline was driven by axial items assessed by the Upright Stability sub score of the mFARS. The analyses of short-term changes showed slower progression with increasing population age, as a result of decreasing genetic severity. Future clinical studies could reduce population diversity, inter-patient variability, and the risk of imbalanced treatment groups by selecting the study population based on the functional capacity (e.g., ambulatory status) and by strict age-based stratification.
INTERPRETATION CONCLUSIONS
- Understanding of the diversity within Friedreich's ataxia populations and their patterns of functional decline provides an essential foundation for future clinical trial design including patient selection and facilitates the interpretation of the clinical relevance of progression detected in Friedreich's ataxia.

Identifiants

pubmed: 35817567
pii: WNL.0000000000200913
doi: 10.1212/WNL.0000000000200913
pmc: PMC9576299
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.

Références

Pract Neurol. 2020 Feb;20(1):55-58
pubmed: 31467149
Ann Clin Transl Neurol. 2015 Aug;2(8):831-42
pubmed: 26339677
Neurology. 2006 Jun 13;66(11):1717-20
pubmed: 16769946
J Neurol Neurosurg Psychiatry. 2015 Jun;86(6):660-6
pubmed: 25112308
J Neurol. 2017 Aug;264(8):1768-1776
pubmed: 28695363
Ann Clin Transl Neurol. 2017 Jun 29;4(8):575-584
pubmed: 28812047
Cerebellum. 2017 Feb;16(1):253-256
pubmed: 26754264
Lancet Neurol. 2021 May;20(5):362-372
pubmed: 33770527
Hum Mol Genet. 2021 Feb 4;29(23):3818-3829
pubmed: 33432325
Ann Neurol. 2021 Feb;89(2):212-225
pubmed: 33068037
Ann Clin Transl Neurol. 2021 Jun;8(6):1239-1250
pubmed: 33949801
Stem Cells Dev. 2018 Jul 15;27(14):968-975
pubmed: 29415619
Ann Clin Transl Neurol. 2016 Jul 25;3(9):684-94
pubmed: 27648458
Brain. 2013 Jan;136(Pt 1):259-68
pubmed: 23365101
J Neurol Sci. 2011 Apr 15;303(1-2):1-12
pubmed: 21315377
Neurol Genet. 2020 Mar 20;6(3):e415
pubmed: 32337342
Lancet Neurol. 2015 Feb;14(2):174-82
pubmed: 25566998
Diabetes Res Clin Pract. 2022 Apr;186:109828
pubmed: 35301072
Neurobiol Dis. 2019 Dec;132:104606
pubmed: 31494282
Ann Clin Transl Neurol. 2019 Feb 27;6(3):546-553
pubmed: 30911578
Arch Neurol. 2005 Dec;62(12):1865-9
pubmed: 16344344
Ann Neurol. 2016 Mar;79(3):485-95
pubmed: 26704351
Neurology. 2006 Jun 13;66(11):1711-6
pubmed: 16769945
Mov Disord. 2016 Jan;31(1):62-9
pubmed: 26388117
Arch Neurol. 2010 Aug;67(8):941-7
pubmed: 20697044
Neurology. 2005 Apr 12;64(7):1261-2
pubmed: 15824358
Cerebellum. 2021 Dec 2;:
pubmed: 34855135
Neurol Genet. 2019 Oct 29;5(6):371
pubmed: 32042904
EClinicalMedicine. 2020 Jan 08;18:100213
pubmed: 31938785
Dev Med Child Neurol. 2017 Oct;59(10):1077-1082
pubmed: 28815574
Neurosci Biobehav Rev. 2018 Jan;84:394-406
pubmed: 28823857
J Neurol. 2012 Feb;259(2):284-91
pubmed: 21779958

Auteurs

Christian Rummey (C)

Clinical Data Science GmbH, Basel, Switzerland.

Louise A Corben (LA)

Bruce Lefroy Centre for Genetic Health Research, Murdoch Children's Research Institute, Parkville, 3052, Victoria. Australia.
Department of Paediatrics, University of Melbourne. Parkville, 3052, Victoria. Australia.

Martin Delatycki (M)

Bruce Lefroy Centre for Genetic Health Research, Murdoch Children's Research Institute, Parkville, 3052, Victoria. Australia.
Department of Paediatrics, University of Melbourne. Parkville, 3052, Victoria. Australia.

George Wilmot (G)

Emory University, Atlanta.

Sub H Subramony (SH)

Department of Neurology, McKnight Brain Institute, Room L3-100, 1149 Newell Drive, Gainesville, Florida 32611.

Manuela Corti (M)

Department of Neurology, McKnight Brain Institute, Room L3-100, 1149 Newell Drive, Gainesville, Florida 32611.

Khalaf Bushara (K)

University of Minnesota.

Antoine Duquette (A)

Service de Neurologie, Département de Médecine, Unité de Troubles du Mouvement André-Barbeau, Centre Hospitalier de l'Université de Montréal (CHUM) and CRCHUM, 900 rue Saint-Denis, Montreal, QC, Canada, H2X 0A9.

Lauren Seeberger (L)

University of Colorado.

Grace Yoon (G)

Divisions of Neurology and Clinical and Metabolic Genetics, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.

Katherine Mathews (K)

University of Iowa, Carver College of Medicine, Iowa City, Iowa, USA.

Susan Perlman (S)

University of California Los Angeles.

David R Lynch (DR)

Division of Neurology, Children's Hospital of Philadelphia lynchd@pennmedicine.upenn.edu.

Classifications MeSH