Establishing Biomarkers and Clinical Endpoints in Myotonic Dystrophy Type 1 (END-DM1) Extension (END-EXT)
Przegląd badań
Status
Status
Warunki
Warunki
Szczegółowy opis
The goal of this observational study is to characterize long-term disease progression over at least 4 years in at least 1,000 adults with myotonic dystrophy type 1 (DM1).
The main questions this study aims to answer are:
- How do clinical measures, such as walking speed, hand function, and muscle strength, change over a multi-year period in people with DM1?
- Can long-term changes in slowly progressive measures, like heart rhythms (ECG) and lung function (FVC), be accurately captured and used as biomarkers for the disease over time?
Typ studiów
Typ studiów
Zapisy (Szacowany)
Zapisy
Kontakty i lokalizacje
Kontakt w sprawie studiów
Kontakt w sprawie studiów
- Nazwa: Jennifer Raymond
- Numer telefonu: 804-828-6318
- E-mail: Jennifer.raymond@vcuhealth.org
Kopia zapasowa kontaktu do badania
- Nazwa: Ruby Langeslay
- Numer telefonu: 804-828-6318
- E-mail: Ruby.langeslay@vcuhealth.org
Lokalizacje studiów
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Virginia
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Richmond, Virginia, Stany Zjednoczone, 23298
- Rekrutacyjny
- Virginia Commonwealth University
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Główny śledczy:
- Nicholas Johnson, MD
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Kontakt:
- Jennifer Raymond
- Numer telefonu: 804-828-6318
- E-mail: Jennifer.raymond@vcuhealth.org
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Kryteria uczestnictwa
Kryteria kwalifikacji
Kryteria kwalifikacji
Wiek uprawniający do nauki
- Dorosły
- Starszy dorosły
Akceptuje zdrowych ochotników
Metoda próbkowania
Badana populacja
Opis
Inclusion Criteria:
- Age 18 to 70 years (inclusive)
- Written, voluntary informed consent must be obtained prior to any study procedures. In cases where a Legally Authorized Representative (LAR) provides consent, verbal assent will be obtained from the subject, as determined by the investigator and documented directly on the consent form. Capacity to consent will be determined by the neurologist at the Baseline visit and will be signed off on the Inclusion/Exclusion checklist.
- Clinical diagnosis of DM1 based on research criteria or positive genetic test. The research criteria for clinical diagnosis of DM1 require myotonia, muscle weakness in a characteristic distribution, and history of similar findings in a first degree relative. Genetic testing confirmed the diagnosis of DM1 in > 99% of individuals who satisfied these criteria. OR A diagnosis of CDM, which is defined as children having symptoms of myotonic dystrophy in the newborn period (<30 days), such as hypotonia, feeding or respiratory difficulty, requiring hospitalization to a ward or to the neonatal intensive care unit for 3 days or more; and a genetic test suspicious of an expanded trinucleotide (CTG) repeat in the DMPK gene in the child or first degree relative. An expanded CTG repeat size in the child is considered greater than 200 repeats or E1-E4 classification (E1= 200-500, E2=500-1,000, E3=1,000-1,500, E4>1,500)
Exclusion Criteria:
- Symptomatic renal or liver disease, uncontrolled diabetes or thyroid disorder, or active malignancy other than in situ skin cancer.
- Current alcohol or substance use disorder.
- Concurrent pregnancy or planned pregnancy during the course of the study.
- Concurrent medical condition that would, in the opinion of the investigator or clinical evaluator. compromise performance on study measures.
- Use of mexiletine or other anti-myotonia agents within 72 hours of any study visit.
Plan studiów
Jak projektuje się badanie?
Szczegóły projektu
Liczba grup / kohort
Kohorty i interwencje
Grupa / KohortaGrupa / Kohorta |
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Myotonic Dystrophy Type 1 (DM1) Longitudinal Cohort
Participants with a clinical or genetic diagnosis of myotonic dystrophy type 1 (DM1) or congenital myotonic dystrophy (CDM).
This cohort includes individuals transitioning from the parent study, Establishing Biomarkers and Clinical Endpoints in Myotonic Dystrophy Type 1 (END-DM1; NCT03981575), as well as newly enrolled participants.
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Co mierzy badanie?
Podstawowe miary wyniku
Podstawowe miary wyniku
Miara wyniku |
Opis środka |
Ramy czasowe |
|---|---|---|
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Characterize the long-term disease progression- 10 meter walk/run
Ramy czasowe: Baseline (0 months), every 12 months over four years
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The 10-meter walk test (10MWT) is used in research to reliably measure gait speed, assessing functional mobility and detecting changes in walking performance over time.
It is a highly reliable, quick, and cost-effective tool. .
It is favored for its simplicity, speed, and ability to predict functional independence.
A "good" score varies by age/condition, with healthy adults averaging over 1.2-1.4
m/s.
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Baseline (0 months), every 12 months over four years
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Characterize the long-term disease progression- vHOT
Ramy czasowe: Baseline (0 months), every 12 months over four years
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The Video Hand Opening Time (vHOT) is used in research as a practical, low-cost, and reliable quantitative tool to measure handgrip myotonia (delayed muscle relaxation) in Myotonic Dystrophy Type 1 (DM1) patients.
It is particularly valuable for multicenter clinical trials because it allows for blinded, objective assessment of therapeutic responses.
A "good" (healthy) score is generally as close to zero as possible.
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Baseline (0 months), every 12 months over four years
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Characterize the long-term disease progression- grip strength
Ramy czasowe: Baseline (0 months), every 12 months over four years
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Grip strength is used in research as a reliable, low-cost biomarker for overall muscle strength, aging, and mortality risk.
A good score varies by age and sex, with healthy young adults often averaging over 40-45 kg (males) and 25-30kg (females).
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Baseline (0 months), every 12 months over four years
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Characterize the long-term disease progression- ECG
Ramy czasowe: Baseline (0 months), every 12 months over four years
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Electrocardiograms (ECGs/EKGs) are used in research for their non-invasive, cost-effective ability to track heart rhythm, diagnose cardiac conditions, and assess cardiovascular disease risk.
In research, a "good" ECG score indicates normal sinus rhythm and intervals, such as a PR interval of 120-200 milliseconds and an RR interval of 0.6-1.2
seconds.
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Baseline (0 months), every 12 months over four years
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Characterize the long-term disease progression- FVC
Ramy czasowe: Baseline (0 months), every 12 months over four years
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Forced Vital Capacity (FVC) is crucial in research for diagnosing and tracking restrictive lung diseases (e.g., pulmonary fibrosis), assessing disease progression, and measuring treatment efficacy in clinical trials.
A "good" or normal FVC is typically 80% or higher of the predicted value, based on a patient's age, height, sex, and ethnicity.
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Baseline (0 months), every 12 months over four years
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Characterize the long-term disease progression- DM1-Activ-c
Ramy czasowe: Baseline (0 months), every 12 months over four years
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The DM1-Activ-c (25-item) is a validated, Rasch-built, patient-reported outcome measure designed specifically to assess daily activity and participation in Myotonic Dystrophy Type 1 (DM1) patients.
It is used in research for its high sensitivity to disease progression and therapeutic changes (responsiveness), making it a reliable primary endpoint for clinical trials to measure patient improvement.
The DM1-Activ-c is scored on a scale from 0 to 100, where higher scores indicate better functional ability.
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Baseline (0 months), every 12 months over four years
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Współpracownicy i badacze
Sponsor
Sponsor
Współpracownicy
Współpracownicy
Śledczy
Śledczy
- Główny śledczy: Nicholas Johnson, MD, Virginia Commonwealth University
Publikacje i pomocne linki
Publikacje ogólne
- Guyatt GH, Osoba D, Wu AW, Wyrwich KW, Norman GR; Clinical Significance Consensus Meeting Group. Methods to explain the clinical significance of health status measures. Mayo Clin Proc. 2002 Apr;77(4):371-83. doi: 10.4065/77.4.371.
- Jaeschke R, Singer J, Guyatt GH. Measurement of health status. Ascertaining the minimal clinically important difference. Control Clin Trials. 1989 Dec;10(4):407-15. doi: 10.1016/0197-2456(89)90005-6.
- Mathai SC, Puhan MA, Lam D, Wise RA. The minimal important difference in the 6-minute walk test for patients with pulmonary arterial hypertension. Am J Respir Crit Care Med. 2012 Sep 1;186(5):428-33. doi: 10.1164/rccm.201203-0480OC. Epub 2012 Jun 21.
- Goldman A, Ramsay M, Jenkins T. Ethnicity and myotonic dystrophy: a possible explanation for its absence in sub-Saharan Africa. Ann Hum Genet. 1996 Jan;60(1):57-65. doi: 10.1111/j.1469-1809.1996.tb01172.x.
- Griggs RC, Wood DS. Criteria for establishing the validity of genetic recombination in myotonic dystrophy. Neurology. 1989 Mar;39(3):420-1. doi: 10.1212/wnl.39.3.420. No abstract available.
- Personius KE, Pandya S, King WM, Tawil R, McDermott MP. Facioscapulohumeral dystrophy natural history study: standardization of testing procedures and reliability of measurements. The FSH DY Group. Phys Ther. 1994 Mar;74(3):253-63. doi: 10.1093/ptj/74.3.253.
- Thornton CA, Johnson K, Moxley RT 3rd. Myotonic dystrophy patients have larger CTG expansions in skeletal muscle than in leukocytes. Ann Neurol. 1994 Jan;35(1):104-7. doi: 10.1002/ana.410350116.
- Braida C, Stefanatos RK, Adam B, Mahajan N, Smeets HJ, Niel F, Goizet C, Arveiler B, Koenig M, Lagier-Tourenne C, Mandel JL, Faber CG, de Die-Smulders CE, Spaans F, Monckton DG. Variant CCG and GGC repeats within the CTG expansion dramatically modify mutational dynamics and likely contribute toward unusual symptoms in some myotonic dystrophy type 1 patients. Hum Mol Genet. 2010 Apr 15;19(8):1399-412. doi: 10.1093/hmg/ddq015. Epub 2010 Jan 15.
- Guyatt G, Walter S, Norman G. Measuring change over time: assessing the usefulness of evaluative instruments. J Chronic Dis. 1987;40(2):171-8. doi: 10.1016/0021-9681(87)90069-5.
- Wyrwich KW, Tierney WM, Wolinsky FD. Further evidence supporting an SEM-based criterion for identifying meaningful intra-individual changes in health-related quality of life. J Clin Epidemiol. 1999 Sep;52(9):861-73. doi: 10.1016/s0895-4356(99)00071-2.
- Teng S, Wang B, Yang F, Yi X, Zhang X, Sun Y. MediDRNet: Tackling category imbalance in diabetic retinopathy classification with dual-branch learning and prototypical contrastive learning. Comput Methods Programs Biomed. 2024 Aug;253:108230. doi: 10.1016/j.cmpb.2024.108230. Epub 2024 May 17.
- Liu P, Liu Y, Liu H, Xiong L, Mei C, Yuan L. A Random Forest Algorithm for Assessing Risk Factors Associated With Chronic Kidney Disease: Observational Study. Asian Pac Isl Nurs J. 2024 Jun 3;8:e48378. doi: 10.2196/48378.
Daty zapisu na studia
Główne daty studiów
Rozpoczęcie studiów (Szacowany)
Rozpoczęcie studiów
Zakończenie podstawowe (Szacowany)
Zakończenie podstawowe
Ukończenie studiów (Szacowany)
Ukończenie studiów
Daty rejestracji na studia
Pierwszy przesłany
Pierwszy przesłany
Pierwszy przesłany, który spełnia kryteria kontroli jakości
Pierwszy przesłany, który spełnia kryteria kontroli jakości
Pierwszy wysłany (Rzeczywisty)
Pierwszy wysłany
Aktualizacje rekordów badań
Ostatnia wysłana aktualizacja (Rzeczywisty)
Ostatnia wysłana aktualizacja
Ostatnia przesłana aktualizacja, która spełniała kryteria kontroli jakości
Ostatnia przesłana aktualizacja, która spełniała kryteria kontroli jakości
Ostatnia weryfikacja
Ostatnia weryfikacja
Więcej informacji
Terminy związane z tym badaniem
Słowa kluczowe
Dodatkowe istotne warunki MeSH
- Objawy neurologiczne
- Choroby układu mięśniowo-szkieletowego
- Choroby Układu Nerwowego
- Choroby mięśni
- Manifestacje nerwowo-mięśniowe
- Choroby genetyczne, wrodzone
- Choroby neurodegeneracyjne
- Choroby zwyrodnieniowe układu nerwowego
- Zaburzenia mięśniowe, zanikowe
- Zaburzenia miotoniczne
- Wrodzone, dziedziczne i noworodkowe choroby i nieprawidłowości
- Stany patologiczne, oznaki i objawy
- Objawy i symptomy
- Dystrofie mięśniowe
- Dystrofia miotoniczna
- Miotonia
- Choroby nerwowo-mięśniowe
Inne numery identyfikacyjne badania
Inne numery identyfikacyjne badania
- HM300000528 END-EXT
Informacje o lekach i urządzeniach, dokumenty badawcze
Bada produkt leczniczy regulowany przez amerykańską FDA
Bada produkt urządzenia regulowany przez amerykańską FDA
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