Clinical trial readiness to solve barriers to drug development in FSHD (ReSolve): protocol of a large, international, multi-center prospective study

Samantha LoRusso, Nicholas E Johnson, Michael P McDermott, Katy Eichinger, Russell J Butterfield, Elena Carraro, Kiley Higgs, Leann Lewis, Karlien Mul, Sabrina Sacconi, Valeria A Sansone, Perry Shieh, Baziel van Engelen, Kathryn Wagner, Leo Wang, Jeffrey M Statland, Rabi Tawil, ReSolve Investigators and the FSHD CTRN18, Mazen Dimachkie, Mamatha Pasnoor, Kiley Higgs, Katherine Roath, Ayla McCalley, Melissa Currence, Laura Herbelin, Rabi Tawil, Johanna Hamel, Leann Lewis, Katy Eichinger, Samantha LoRusso, W David Arnold, Tabitha Alexander, Matthew Yankie, Kristina Kelly, Nicholas Johnson, Brittney Holmberg, Liz Diaz, Aileen Jones, Amanda Butler, Russell J Butterfield, Sarah Moldt, Amelia Wilson, Melissa McIntyre, Kathryn Wagner, Doris Leung, Genila Bibat, Mary Yep, Nikia Stinson, Andrea Jaworek, Leo Wang, Laura Sissons-Ross, Laura Johnstone, Perry Shieh, Christy Skura, Dianne DeGuzman, Karlien Mul, Yvonne Cornelissen, Sabrina Sacconi, Luisa Villa, Angela Puma, Manuela Gambella, Ying Shi, Jeremy Garcia, Valeria A Sansone, Elena Carraro, Fatmira Beshiri, Luca Mauro, Samantha LoRusso, Nicholas E Johnson, Michael P McDermott, Katy Eichinger, Russell J Butterfield, Elena Carraro, Kiley Higgs, Leann Lewis, Karlien Mul, Sabrina Sacconi, Valeria A Sansone, Perry Shieh, Baziel van Engelen, Kathryn Wagner, Leo Wang, Jeffrey M Statland, Rabi Tawil, ReSolve Investigators and the FSHD CTRN18, Mazen Dimachkie, Mamatha Pasnoor, Kiley Higgs, Katherine Roath, Ayla McCalley, Melissa Currence, Laura Herbelin, Rabi Tawil, Johanna Hamel, Leann Lewis, Katy Eichinger, Samantha LoRusso, W David Arnold, Tabitha Alexander, Matthew Yankie, Kristina Kelly, Nicholas Johnson, Brittney Holmberg, Liz Diaz, Aileen Jones, Amanda Butler, Russell J Butterfield, Sarah Moldt, Amelia Wilson, Melissa McIntyre, Kathryn Wagner, Doris Leung, Genila Bibat, Mary Yep, Nikia Stinson, Andrea Jaworek, Leo Wang, Laura Sissons-Ross, Laura Johnstone, Perry Shieh, Christy Skura, Dianne DeGuzman, Karlien Mul, Yvonne Cornelissen, Sabrina Sacconi, Luisa Villa, Angela Puma, Manuela Gambella, Ying Shi, Jeremy Garcia, Valeria A Sansone, Elena Carraro, Fatmira Beshiri, Luca Mauro

Abstract

Background: Facioscapulohumeral muscular dystrophy (FSHD) is a dominantly-inherited progressive muscular dystrophy caused by de-repression of the DUX4 gene, which causes disease by a toxic-gain-of-function. As molecularly targeted drugs move from preclinical testing into human trials, it is essential that we validate clinical trial tools and methodology to facilitate the drug development process.

Methods/design: The primary goal of this study is to hasten drug development for FSHD by validating two novel clinical outcome assessments (COAs) and refining clinical trial strategies. We will perform an 18-month longitudinal study in 220 genetically confirmed and clinically affected participants using our FSHD Clinical Trial Research Network, comprised of 8 sites in the United States, and 3 collaborating sites in Europe. Visits occur at baseline and months 3, 12, and 18. At each visit we will collect: 1) a novel FSHD functional composite COA made up of 18 evaluator-administered motor tasks in the domains of shoulder/arm, hand, core/abdominal, leg, and balance function; and 2) electrical impedance myography as a novel muscle quality biomarker (US sites). Other COAs include 1) Domain 1 of the Motor Function Measure; 2) Reachable workspace; 3) orofacial strength using the Iowa Oral Performance Instrument; 4) lean muscle mass using dual-energy X-ray absorptiometry (DEXA); 5) strength as measured by quantitative myometry and manual muscle testing; and 6) the FSHD Health Index and other patient-reported outcomes. Plasma, DNA, RNA, and serum will be collected for future biomarker studies. We will use an industry standard multi-site training plan. We will evaluate the test-retest reliability, validity, and sensitivity to disease progression, and minimal clinically important changes of our new COAs. We will assess associations between demographic and genetic factors and the rate of disease progression to inform refinement of eligibility criteria for future clinical trials.

Discussion: To the best of our knowledge, this is the largest collaborative study of patients with FSHD performed in the US and Europe. The results of this study will enable more efficient clinical trial design. During the conduct of the study, relevant data will be made available for investigators or companies pursuing novel FSHD therapeutics.

Trial registration: clinicaltrials.gov NCT03458832; Date of registration: 1/11/2018.

Keywords: Biomarkers; Clinical trial; Electrical impedance Myography; Facioscapulohumeral muscular dystrophy; Functional testing; Muscular dystrophy; Outcome measures.

Conflict of interest statement

The Reachable Workspace portion of this study was funded by Fulcrum Therapeutics.

SL has no competing interests.

NJ serves on scientific advisory boards for Cytokinetics, AveXis, AMO Pharma, and Biogen Idec; has received funding for travel and/or speaker honoraria from Strongbridge; serves as a consultant for AMO Pharma, AveXis, and Vertex Pharma; and receives research support from Ionis Pharmaceuticals, Biogen Idec, Valerion Therapeutics, Cytokinetics, Acceleron, AveXis, AMO Pharma, NIH/NINDS, FDA, Muscular Dystrophy Association, and Myotonic Dystrophy Foundation.

MPM has no competing interests.

KE has received consulting fees from Acceleron.

RJB is supported by NIH grant 1K08NS097631–01. He is receiving funding via contracts for clinical trials from PTC Therapeutics, Sarepta Therapeutics, Pfizer, and Biogen. RJB serves on scientific advisory boards for Sarepta Therapeutics and Biogen.

EC has no competing interests.

KH has no competing interests.

LL has no competing interests.

KM has no competing interests.

SS served as a consultant for Biomarin, Sanofi Genzyme, Alnylam Pharmaceuticals, Spark Therapeutic, Biotechspert and BIOGEN France.

VAS serves on Scientific Advisory Boards for Biogen, PTC, Santhera, Sarepta, Avexis. VS has received research support from the Italian Telethon and Muscular Dystrophy Association grants.

PS serves as a consultant for Avexis, Sarepta, and Biogen and has received speaker honoraria from Biogen, Alexion, Grifols, and CSL Behring.

BvE reports grants from The Marigold Foundation and personal fees and non-financial support from Fulcrum and Facio, grants from Global FSH, Stichting Spieren voor Spieren, Prinses Beatrix Spierfonds, Dutch FSHD Foundation, European Union’s Horizon 2020 research and innovation programme (Murab), Netherlands Organisation for Scientific Research (NWO), The Netherlands Organisation for Health Research and Development (ZonMw), Association Francaise contre les Myopathies.

KW served as a consultant for Sarepta, Pfizer, Wave, Fibrogen, and PTC Therapeutics.

LW has no competing interests.

JMS reports consulting work or serving on advisory boards for Fulcrum, Acceleron, Expansion, Biogen, Avexis, and Strongbridge.

RT reports consulting work for Acceleron and serving on the Fulcrum Therapeutics advisory board.

Figures

Fig. 1
Fig. 1
Title: The FSHD-CTRN Legend: The FSHD-CTRN is made up of 8 US sites, with the University of Kansas Medical Center serving as the central IRB and central coordinating center, and the University of Rochester serving as the data coordinating center. In addition, 3 collaborating sites in Europe are participating in the study, with the exception that they will not be performing EIM. Source: http://www.kumc.edu/fshd/our-sites.html
Fig. 2
Fig. 2
Electrical Impedance Myography Legend: The EIM device consists of a laptop computer connected to a portable handheld sensor

References

    1. Deenen JC, Arnts H, van der Maarel SM, Padberg GW, Verschuuren JJ, Bakker E, et al. Population-based incidence and prevalence of facioscapulohumeral dystrophy. Neurology. 2014;83(12):1056–1059. doi: 10.1212/WNL.0000000000000797.
    1. van der Maarel SM, Deidda G, Lemmers RJ, van Overveld PG, van der Wielen M, Hewitt JE, et al. De novo facioscapulohumeral muscular dystrophy: frequent somatic mosaicism, sex-dependent phenotype, and the role of mitotic transchromosomal repeat interaction between chromosomes 4 and 10. Am J Hum Genet. 2000;66(1):26–35. doi: 10.1086/302730.
    1. Padberg GW, Lunt PW, Koch M, Fardeau M. Diagnostic criteria for facioscapulohumeral muscular dystrophy. Neuromuscul Disord. 1991;1(4):231–234. doi: 10.1016/0960-8966(91)90094-9.
    1. Statland JM, Tawil R. Risk of functional impairment in Facioscapulohumeral muscular dystrophy. Muscle Nerve. 2014;49(4):520–527. doi: 10.1002/mus.23949.
    1. Lemmers RJ, van der Vliet PJ, Klooster R, Sacconi S, Camano P, Dauwerse JG, et al. A unifying genetic model for facioscapulohumeral muscular dystrophy. Science. 2010;329(5999):1650–1653. doi: 10.1126/science.1189044.
    1. Tawil R, Kissel JT, Heatwole C, Pandya S, Gronseth G, Benatar M, et al. Evidence-based guideline summary: evaluation, diagnosis, and management of facioscapulohumeral muscular dystrophy: report of the guideline development, dissemination, and implementation Subcommittee of the American Academy of neurology and the practice issues review panel of the American Association of Neuromuscular & Electrodiagnostic medicine. Neurology. 2015;85(4):357–364. doi: 10.1212/WNL.0000000000001783.
    1. Chen JC, King OD, Zhang Y, Clayton NP, Spencer C, Wentworth BM, et al. Morpholino-mediated knockdown of DUX4 toward Facioscapulohumeral muscular dystrophy therapeutics. Mol Ther. 2016;24(8):1405–1411. doi: 10.1038/mt.2016.111.
    1. Marsollier AC, Ciszewski L, Mariot V, Popplewell L, Voit T, Dickson G, et al. Antisense targeting of 3′ end elements involved in DUX4 mRNA processing is an efficient therapeutic strategy for facioscapulohumeral dystrophy: a new gene-silencing approach. Hum Mol Genet. 2016;25(8):1468–1478. doi: 10.1093/hmg/ddw015.
    1. Lim JW, Snider L, Yao Z, Tawil R, Van Der Maarel SM, Rigo F, et al. DICER/AGO-dependent epigenetic silencing of D4Z4 repeats enhanced by exogenous siRNA suggests mechanisms and therapies for FSHD. Hum Mol Genet. 2015;24(17):4817–4828. doi: 10.1093/hmg/ddv206.
    1. Wallace LM, Liu J, Domire JS, Garwick-Coppens SE, Guckes SM, Mendell JR, et al. RNA interference inhibits DUX4-induced muscle toxicity in vivo: implications for a targeted FSHD therapy. Mol Ther. 2012;20(7):1417–1423. doi: 10.1038/mt.2012.68.
    1. Campbell AE, Oliva J, Yates MP, Zhong JW, Shadle SC, Snider L, et al. BET bromodomain inhibitors and agonists of the beta-2 adrenergic receptor identified in screens for compounds that inhibit DUX4 expression in FSHD muscle cells. Skelet Muscle. 2017;7(1):16. doi: 10.1186/s13395-017-0134-x.
    1. Acceleron . ACE-083, a locally-acting TGF-Beta superfamily ligand trap, increases muscle volume of targeted muscle: preliminary results from a phase 1 dose escalation study in healthy volunteers. Boston: ENDO 2016; 2016.
    1. Mendell JR, Goemans N, Lowes LP, Alfano LN, Berry K, Shao J, et al. Longitudinal effect of eteplirsen versus historical control on ambulation in Duchenne muscular dystrophy. Ann Neurol. 2016;79(2):257–271. doi: 10.1002/ana.24555.
    1. Bushby K, Finkel R, Wong B, Barohn R, Campbell C, Comi GP, et al. Ataluren treatment of patients with nonsense mutation dystrophinopathy. Muscle Nerve. 2014;50(4):477–487. doi: 10.1002/mus.24332.
    1. Voit T, Topaloglu H, Straub V, Muntoni F, Deconinck N, Campion G, et al. Safety and efficacy of drisapersen for the treatment of Duchenne muscular dystrophy (DEMAND II): an exploratory, randomised, placebo-controlled phase 2 study. Lancet Neurol. 2014;13(10):987–996. doi: 10.1016/S1474-4422(14)70195-4.
    1. Journal TWS. Sarepta: FDA’s Decision on Dystrophy Drug Delayed 2016 [Available from: . Accessed 30 June 2016.
    1. Medscape. FDA Declines Approval for Drisapersen in DMD 2016 [Available from: . Accessed 30 June 2016.
    1. FSH-DY A prospective, quantitative study of the natural history of facioscapulohumeral muscular dystrophy (FSHD): implications for therapeutic trials. Neurology. 1997;48(1):38–46. doi: 10.1212/WNL.48.1.38.
    1. van der Kooi EL, Vogels OJ, van Asseldonk RJ, Lindeman E, Hendriks JC, Wohlgemuth M, et al. Strength training and albuterol in facioscapulohumeral muscular dystrophy. Neurology. 2004;63(4):702–708. doi: 10.1212/01.WNL.0000134660.30793.1F.
    1. Johnson NE, Quinn C, Eastwood E, Tawil R, Heatwole CR. Patient-identified disease burden in facioscapulohumeral muscular dystrophy. Muscle Nerve. 2012;46(6):951–953. doi: 10.1002/mus.23529.
    1. Eichinger Katy, Heatwole Chad, Iyadurai Stanley, King Wendy, Baker Lindsay, Heininger Susanne, Bartlett Amy, Dilek Nuran, Martens William B., Mcdermott Michael, Kissel John T., Tawil Rabi, Statland Jeffrey M. Facioscapulohumeral muscular dystrophy functional composite outcome measure. Muscle & Nerve. 2018;58(1):72–78. doi: 10.1002/mus.26088.
    1. Petek LM, Rickard AM, Budech C, Poliachik SL, Shaw D, Ferguson MR, et al. A cross sectional study of two independent cohorts identifies serum biomarkers for facioscapulohumeral muscular dystrophy (FSHD) Neuromuscul Disord. 2016;26(7):405–413. doi: 10.1016/j.nmd.2016.04.012.
    1. Statland JM, Donlin-Smith CM, Tapscott SJ, Van der Maarel S, Tawil R. Multiplex screen of serum biomarkers in Facioscapulohumeral muscular dystrophy. J Neuromuscul Dis. 2014;1(2):181–190.
    1. Tasca Giorgio, Monforte Mauro, Ottaviani Pierfrancesco, Pelliccioni Marco, Frusciante Roberto, Laschena Francesco, Ricci Enzo. Magnetic resonance imaging in a large cohort of facioscapulohumeral muscular dystrophy patients: Pattern refinement and implications for clinical trials. Annals of Neurology. 2016;79(5):854–864. doi: 10.1002/ana.24640.
    1. Friedman SD, Poliachik SL, Carter GT, Budech CB, Bird TD, Shaw DW. The magnetic resonance imaging spectrum of facioscapulohumeral muscular dystrophy. Muscle Nerve. 2012;45(4):500–506. doi: 10.1002/mus.22342.
    1. Janssen BH, Voet NB, Nabuurs CI, Kan HE, de Rooy JW, Geurts AC, et al. Distinct disease phases in muscles of Facioscapulohumeral dystrophy patients identified by MR detected fat infiltration. PLoS One. 2014;9(1):e85416. doi: 10.1371/journal.pone.0085416.
    1. Mul K, Vincenten SCC, Voermans NC, Lemmers R, van der Vliet PJ, van der Maarel SM, et al. Adding quantitative muscle MRI to the FSHD clinical trial toolbox. Neurology. 2017;89(20):2057–2065. doi: 10.1212/WNL.0000000000004647.
    1. Rutkove SB, Caress JB, Cartwright MS, Burns TM, Warder J, David WS, et al. Electrical impedance myography as a biomarker to assess ALS progression. Amyotroph Lateral Scler. 2012;13(5):439–445. doi: 10.3109/17482968.2012.688837.
    1. Rutkove SB, Shefner JM, Gregas M, Butler H, Caracciolo J, Lin C, et al. Characterizing spinal muscular atrophy with electrical impedance myography. Muscle Nerve. 2010;42(6):915–921. doi: 10.1002/mus.21784.
    1. Zaidman Craig M., Wang Lucy L., Connolly Anne M., Florence Julaine, Wong Brenda L., Parsons Julie A., Apkon Susan, Goyal Namita, Williams Eugene, Escolar Diana, Rutkove Seward B., Bohorquez Jose L. Electrical impedance myography in duchenne muscular dystrophy and healthy controls: A multicenter study of reliability and validity. Muscle & Nerve. 2015;52(4):592–597. doi: 10.1002/mus.24611.
    1. Statland Jeffrey M., Heatwole Chad, Eichinger Katy, Dilek Nuran, Martens William B., Tawil Rabi. Electrical impedance myography in facioscapulohumeral muscular dystrophy. Muscle & Nerve. 2016;54(4):696–701. doi: 10.1002/mus.25065.
    1. Rutkove SB, Kapur K, Zaidman CM, Wu JS, Pasternak A, Madabusi L, et al. Electrical impedance myography for assessment of Duchenne muscular dystrophy. Ann Neurol. 2017;81(5):622–632. doi: 10.1002/ana.24874.
    1. Mul K, Heatwole C, Eichinger K, Dilek N, Martens WB, Van Engelen BGM, et al. Electrical impedance myography in facioscapulohumeral muscular dystrophy: a 1-year follow-up study. Muscle Nerve. 2018;58(2):213–218. doi: 10.1002/mus.26127.
    1. Ricci G, Scionti I, Sera F, Govi M, D'Amico R, Frambolli I, et al. Large scale genotype-phenotype analyses indicate that novel prognostic tools are required for families with facioscapulohumeral muscular dystrophy. Brain J Neurol. 2013;136(Pt 11):3408–3417. doi: 10.1093/brain/awt226.
    1. Lunt PW, Jardine PE, Koch MC, Maynard J, Osborn M, Williams M, et al. Correlation between fragment size at D4F104S1 and age at onset or at wheelchair use, with a possible generational effect, accounts for much phenotypic variation in 4q35-facioscapulohumeral muscular dystrophy (FSHD) Hum Mol Genet. 1995;4(5):951–958. doi: 10.1093/hmg/4.5.951.
    1. Lutz KL, Holte L, Kliethermes SA, Stephan C, Mathews KD. Clinical and genetic features of hearing loss in facioscapulohumeral muscular dystrophy. Neurology. 2013;81(16):1374–1377. doi: 10.1212/WNL.0b013e3182a84140.
    1. Miura K, Kumagai T, Matsumoto A, Iriyama E, Watanabe K, Goto K, et al. Two cases of chromosome 4q35-linked early onset facioscapulohumeral muscular dystrophy with mental retardation and epilepsy. Neuropediatrics. 1998;29(5):239–241. doi: 10.1055/s-2007-973568.
    1. Statland JM, Sacconi S, Farmakidis C, Donlin-Smith CM, Chung M, Tawil R. Coats syndrome in facioscapulohumeral dystrophy type 1: frequency and D4Z4 contraction size. Neurology. 2013;80(13):1247–1250. doi: 10.1212/WNL.0b013e3182897116.
    1. Society F. FSH Society Awards Grant to Establish Clinical Trial Research Network for FSHD 2016 [Available from: . Accessed 30 June 2016.
    1. Tawil R, Padberg GW, Shaw DW, van der Maarel SM, Tapscott SJ, Participants FW. Clinical trial preparedness in facioscapulohumeral muscular dystrophy: clinical, tissue, and imaging outcome measures 29–30 May 2015, Rochester, New York. Neuromuscul Disord. 2015;26(2):181–6.
    1. Tawil R, Shaw DW, van der Maarel SM, Tapscott SJ. Clinical trial preparedness in facioscapulohumeral dystrophy: outcome measures and patient access: 8-9 April 2013, Leiden, the Netherlands. Neuromuscul Disord. 2014;24(1):79–85. doi: 10.1016/j.nmd.2013.07.009.
    1. Orrell RW, Tawil R, Forrester J, Kissel JT, Mendell JR, Figlewicz DA. Definitive molecular diagnosis of facioscapulohumeral dystrophy. Neurology. 1999;52(9):1822–1826. doi: 10.1212/WNL.52.9.1822.
    1. Ricci E, Galluzzi G, Deidda G, Cacurri S, Colantoni L, Merico B, et al. Progress in the molecular diagnosis of facioscapulohumeral muscular dystrophy and correlation between the number of KpnI repeats at the 4q35 locus and clinical phenotype. Ann Neurol. 1999;45(6):751–757. doi: 10.1002/1531-8249(199906)45:6<751::AID-ANA9>;2-M.
    1. Lamperti C, Fabbri G, Vercelli L, D'Amico R, Frusciante R, Bonifazi E, et al. A standardized clinical evaluation of patients affected by facioscapulohumeral muscular dystrophy: the FSHD clinical score. Muscle Nerve. 2010;42(2):213–217. doi: 10.1002/mus.21671.
    1. Cella D, Riley W, Stone A, Rothrock N, Reeve B, Yount S, et al. The patient-reported outcomes measurement information system (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. J Clin Epidemiol. 2010;63(11):1179–1194. doi: 10.1016/j.jclinepi.2010.04.011.
    1. Hamilton CB, Chesworth BM. A Rasch-validated version of the upper extremity functional index for interval-level measurement of upper extremity function. Phys Ther. 2013;93(11):1507–1519. doi: 10.2522/ptj.20130041.
    1. Chesworth BM, Hamilton CB, Walton DM, Benoit M, Blake TA, Bredy H, et al. Reliability and validity of two versions of the upper extremity functional index. Physiother Can. 2014;66(3):243–253. doi: 10.3138/ptc.2013-45.
    1. VanSwearingen JM, Brach JS. The facial disability index: reliability and validity of a disability assessment instrument for disorders of the facial neuromuscular system. Phys Ther. 1996;76(12):1288–1298. doi: 10.1093/ptj/76.12.1288.
    1. Personius KE, Pandya S, King WM, Tawil R, McDermott MP. Facioscapulohumeral dystrophy natural history study: standardization of testing procedures and reliability of measurements. Phys Ther. 1994;74(3):253–263. doi: 10.1093/ptj/74.3.253.
    1. Hamel J, Johnson N, Tawil R, Martens WB, Dilek N, McDermott MP, et al. Patient-reported symptoms in Facioscapulohumeral muscular dystrophy (PRISM-FSHD). Neurology. 2019. [Epub ahead of print]
    1. Hukuda ME, Escorcio R, Fernandes LA, de Carvalho EV, Caromano FA. Evaluation scale development, reliability for sitting and standing from the chair for Duchenne muscular dystrophy. J Mot Behav. 2013;45(2):117–126. doi: 10.1080/00222895.2012.760513.
    1. Nitz JC, Burns YR, Jackson RV. A longitudinal physical profile assessment of skeletal muscle manifestations in myotonic dystrophy. Clin Rehabil. 1999;13(1):64–73. doi: 10.1191/026921599674297570.
    1. Wagner KR, Fleckenstein JL, Amato AA, Barohn RJ, Bushby K, Escolar DM, et al. A phase I/IItrial of MYO-029 in adult subjects with muscular dystrophy. Ann Neurol. 2008;63(5):561–571. doi: 10.1002/ana.21338.
    1. Kierkegaard M, Tollback A. Reliability and feasibility of the six minute walk test in subjects with myotonic dystrophy. Neuromuscul Disord. 2007;17(11–12):943–949. doi: 10.1016/j.nmd.2007.08.003.
    1. MCDonald Craig M., Henricson Erik K., Han Jay J., Abresch R. Ted, Nicorici Alina, Atkinson Leone, Elfring Gary L., Reha Allen, Miller Langdon L. The 6-minute walk test in Duchenne/Becker muscular dystrophy: Longitudinal observations. Muscle & Nerve. 2010;42(6):966–974. doi: 10.1002/mus.21808.
    1. McDonald CM, Henricson EK, Han JJ, Abresch RT, Nicorici A, Elfring GL, et al. The 6-minute walk test as a new outcome measure in Duchenne muscular dystrophy. Muscle Nerve. 2010;41(4):500–510. doi: 10.1002/mus.21544.
    1. Fritz S, Lusardi M. White paper: "walking speed: the sixth vital sign". J Geriatr Phys Ther. 2009;32(2):46–49. doi: 10.1519/00139143-200932020-00002.
    1. Iosa M, Mazza C, Frusciante R, Zok M, Aprile I, Ricci E, et al. Mobility assessment of patients with facioscapulohumeral dystrophy. Clin Biomech (Bristol, Avon) 2007;22(10):1074–1082. doi: 10.1016/j.clinbiomech.2007.07.013.
    1. Bohannon RW. Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants. Age Ageing. 1997;26(1):15–19. doi: 10.1093/ageing/26.1.15.
    1. Moxley RT., 3rd Functional testing. Muscle Nerve. 1990;13(Suppl):S26–S29. doi: 10.1002/mus.880131309.
    1. Brooke MH, Griggs RC, Mendell JR, Fenichel GM, Shumate JB, Pellegrino RJ. Clinical trial in Duchenne dystrophy. I. the design of the protocol. Muscle Nerve. 1981;4(3):186–197. doi: 10.1002/mus.880040304.
    1. Brown M, Sinacore DR, Binder EF, Kohrt WM. Physical and performance measures for the identification of mild to moderate frailty. J Gerontol A Biol Sci Med Sci. 2000;55(6):M350–M355. doi: 10.1093/gerona/55.6.M350.
    1. Kissel JT, McDermott MP, Mendell JR, King WM, Pandya S, Griggs RC, et al. Randomized, double-blind, placebo-controlled trial of albuterol in facioscapulohumeral dystrophy. Neurology. 2001;57(8):1434–1440. doi: 10.1212/WNL.57.8.1434.
    1. Bohannon RW. Hand-grip dynamometry predicts future outcomes in aging adults. J Geriatr Phys Ther. 2008;31(1):3–10. doi: 10.1519/00139143-200831010-00002.
    1. Cooper R, Kuh D, Hardy R, Mortality Review G, Falcon, Teams HAS Objectively measured physical capability levels and mortality: systematic review and meta-analysis. BMJ. 2010;341:c4467. doi: 10.1136/bmj.c4467.
    1. Bohannon RW. Reference values for the timed up and go test: a descriptive meta-analysis. J Geriatr Phys Ther. 2006;29(2):64–68. doi: 10.1519/00139143-200608000-00004.
    1. Pondal M, del Ser T. Normative data and determinants for the timed "up and go" test in a population-based sample of elderly individuals without gait disturbances. J Geriatr Phys Ther. 2008;31(2):57–63. doi: 10.1519/00139143-200831020-00004.
    1. Vuillerot C, Payan C, Girardot F, Fermanian J, Iwaz J, Berard C, et al. Responsiveness of the motor function measure in neuromuscular diseases. Arch Phys Med Rehabil. 2012;93(12):2251–2256. doi: 10.1016/j.apmr.2012.05.025.
    1. Adams V, Mathisen B, Baines S, Lazarus C, Callister R. Reliability of measurements of tongue and hand strength and endurance using the Iowa Oral performance instrument with elderly adults. Disabil Rehabil. 2015;37(5):389–395. doi: 10.3109/09638288.2014.921245.
    1. Han JJ, De Bie E, Nicorici A, Abresch RT, Bajcsy R, Kurillo G. Reachable workspace reflects dynamometer-measured upper extremity strength in facioscapulohumeral muscular dystrophy. Muscle Nerve. 2015;52(6):948–955. doi: 10.1002/mus.24651.
    1. Han JJ, Kurillo G, Abresch RT, Nicorici A, Bajcsy R. Validity, reliability, and sensitivity of a 3D vision sensor-based upper extremity reachable workspace evaluation in neuromuscular diseases. PLoS Curr. 2013;5.
    1. Tawil R, McDermott MP, Mendell JR, Kissel J, Griggs RC. Facioscapulohumeral muscular dystrophy (FSHD): design of natural history study and results of baseline testing. Neurology. 1994;44(3 Pt 1):442–446. doi: 10.1212/WNL.44.3_Part_1.442.
    1. Tawil R, McDermott MP, Pandya S, King W, Kissel J, Mendell JR, et al. A pilot trial of prednisone in facioscapulohumeral muscular dystrophy. Neurology. 1997;48(1):46–49. doi: 10.1212/WNL.48.1.46.
    1. Lemmers RJ, O'Shea S, Padberg GW, Lunt PW, van der Maarel SM. Best practice guidelines on genetic diagnostics of Facioscapulohumeral muscular dystrophy: workshop 9th June 2010, LUMC, Leiden, the Netherlands. Neuromuscul Disord. 2012;22(5):463–470. doi: 10.1016/j.nmd.2011.09.004.
    1. Walter SD, Eliasziw M, Donner A. Sample size and optimal designs for reliability studies. Stat Med. 1998;17(1):101–110. doi: 10.1002/(SICI)1097-0258(19980115)17:1<101::AID-SIM727>;2-E.
    1. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1(8476):307–310. doi: 10.1016/S0140-6736(86)90837-8.
    1. Norman GR, Wyrwich KW, Patrick DL. The mathematical relationship among different forms of responsiveness coefficients. Qual Life Res Int J Qual Life Asp Treat Care Rehab. 2007;16(5):815–822.
    1. Cohen J. Statistical power analysis for the behavioral sciences. Hillsdale: Erlbaum; 1988.
    1. Guyatt G, Walter S, Norman G. Measuring change over time: assessing the usefulness of evaluative instruments. J Chronic Dis. 1987;40(2):171–178. doi: 10.1016/0021-9681(87)90069-5.
    1. Efron B, Tibshirani R. An introduction to the bootstrap. Boca Raton: Chapman and Hall/CRC; 1993.
    1. Guyatt GH, Osoba D, Wu AW, Wyrwich KW, Norman GR. Methods to explain the clinical significance of health status measures. Mayo Clin Proc. 2002;77(4):371–383. doi: 10.4065/77.4.371.
    1. Miller A. Subset selection in regression. Second. Boca Raton: Chapman & Hall/CRC; 2002.
    1. Breiman L, Friedman J, Olshen R, Stone C. Classification and regression trees. Belmont: Wadsworth; 1984.

Source: PubMed

3
Se inscrever