Literature DB >> 31997646

Safety and effectiveness of ataluren: comparison of results from the STRIDE Registry and CINRG DMD Natural History Study.

Eugenio Mercuri1,2, Francesco Muntoni3,4, Andrés Nascimento Osorio5, Már Tulinius6, Filippo Buccella7, Lauren P Morgenroth8, Heather Gordish-Dressman9, Joel Jiang10, Panayiota Trifillis10, Jin Zhu10, Allan Kristensen10, Claudio L Santos10, Erik K Henricson11, Craig M McDonald11, Isabelle Desguerre12.   

Abstract

Aim: Strategic Targeting of Registries and International Database of Excellence (STRIDE) is an ongoing, multicenter registry providing real-world evidence regarding ataluren use in patients with nonsense mutation Duchenne muscular dystrophy (nmDMD). We examined the effectiveness of ataluren + standard of care (SoC) in the registry versus SoC alone in the Cooperative International Neuromuscular Research Group (CINRG) Duchenne Natural History Study (DNHS), DMD genotype-phenotype/-ataluren benefit correlations and ataluren safety. Patients & methods: Propensity score matching was performed to identify STRIDE and CINRG DNHS patients who were comparable in established disease progression predictors (registry cut-off date, 9 July 2018). Results & conclusion: Kaplan-Meier analyses demonstrated that ataluren + SoC significantly delayed age at loss of ambulation and age at worsening performance in timed function tests versus SoC alone (p ≤ 0.05). There were no DMD genotype-phenotype/ataluren benefit correlations. Ataluren was well tolerated. These results indicate that ataluren + SoC delays functional milestones of DMD progression in patients with nmDMD in routine clinical practice. ClinicalTrials.gov identifier: NCT02369731. ClinicalTrials.gov identifier: NCT02369731.

Entities:  

Keywords:  STRIDE Registry; ataluren; dystrophin; effectiveness; nonsense mutation Duchenne muscular dystrophy; safety

Mesh:

Substances:

Year:  2020        PMID: 31997646      PMCID: PMC7610147          DOI: 10.2217/cer-2019-0171

Source DB:  PubMed          Journal:  J Comp Eff Res        ISSN: 2042-6305            Impact factor:   1.744


Duchenne muscular dystrophy (DMD) is a rare, progressive, X-linked neuromuscular disorder that is characterized by progressive muscle degeneration and weakness due to the absence of functional dystrophin protein [1,2]. Patients with DMD experience functional decline, loss of ambulation and ultimately premature death due to respiratory or cardiac failure [3]. DMD occurs in approximately 1 in every 3600–6000 live male births [1,3,4]. DMD is caused by either a deletion or duplication of one or more exons in the DMD gene, or by a small mutation in the gene, such as a small deletion or insertion, or a point (nonsense or missense), splice site or intronic mutation [5,6]. Deletions, insertions or duplications that result in a number of nucleotides that is no longer divisible by three shift the reading frame of the DMD gene, leading to the incorporation of aberrant amino acids into the dystrophin protein during translation, and often to the presence of premature stop codons in the dystrophin mRNA, resulting in a truncated protein [5]. In 10–15% of boys with DMD, the disorder is caused by a nonsense mutation in the DMD gene [2,6-8]. A nonsense mutation is a point mutation that does not affect the reading frame of the DMD gene, but creates a premature stop codon in the dystrophin mRNA, preventing the production of full-length, functional dystrophin protein [2,5-8]. Genetic testing is used to determine the presence of a nonsense mutation in the DMD gene [9]. Ataluren is an oral treatment for patients with nonsense mutation DMD (nmDMD), designed to promote ribosomal readthrough of an in-frame premature stop codon and thereby enable the production of full-length dystrophin protein [9-11]. It is indicated for the treatment of nmDMD in ambulatory patients aged 5 years or older in Brazil, Chile and Republic of Korea. More recently, the indication has expanded to include patients aged 2 years or older in member states of the European Union and Iceland, Israel, Liechtenstein and Norway [9]. Patients who do not have a nonsense mutation should not receive ataluren [9]. After an open-label Phase IIa study of ataluren (ClinicalTrials.gov identifier: NCT00264888) demonstrated increases in full-length dystrophin expression in patients with nmDMD treated with ataluren for 28 days [12], ataluren was evaluated in patients with nmDMD in Phase IIb (ClinicalTrials.gov identifier: NTC00592553) [13] and Phase III (ClinicalTrials.gov identifier: NCT01826487) randomized, double-blind, placebo-controlled trials [14]. These trials showed a benefit of ataluren (40 mg/kg per day) compared with placebo in a range of functional end points, including changes in 6-minute walk distance and timed function tests over 48 weeks, although the studies did not meet their primary end points [13,14]. Ataluren has been shown to be generally well tolerated and to have a favorable benefit–risk profile over a 48-week treatment period [13,14]. Strategic Targeting of Registries and International Database of Excellence (STRIDE; ClinicalTrials.gov identifier: NCT02369731) is an ongoing, observational, international registry of the safety and effectiveness of ataluren. STRIDE is the first drug registry for patients with nmDMD that will generate data on patterns of ataluren use and long-term patient outcomes in real-world routine clinical practice. Previously, we described the initial demographic characteristics of the study population in the STRIDE Registry, as of 9 July 2018 [15]. The Cooperative International Neuromuscular Research Group (CINRG) Duchenne Natural History Study (DNHS; ClinicalTrials.gov identifier: NCT00468832) was a prospective, longitudinal study of more than 400 patients with DMD who were followed up between 2006 and 2016 at 20 worldwide centers as part of the academic clinical trial network, CINRG [16,17]. We aimed, first, to assess the safety of ataluren treatment in patients in the STRIDE Registry, as of the interim cut-off date of 9 July 2018; second, to assess the effectiveness of ataluren by comparing results from propensity score-matched patient populations from the STRIDE Registry and the CINRG DNHS. Third, we aimed to examine the link between DMD genotype and disease progression or ataluren treatment benefit in the STRIDE Registry, using age at first symptoms as a measure of disease progression and age at loss of ambulation as a measure of treatment benefit.

Patients & methods

Study design & methodology

Study design and data collection methodology for the STRIDE Registry and the CINRG DNHS have been described in full previously [15-17]. The STRIDE Registry is an ongoing, international, multicenter, observational, postapproval safety study of ataluren in patients with nmDMD, requested by the Pharmacovigilance Risk Assessment Committee of the European Medicines Agency. It is underway in countries where ataluren is available commercially or through an early access program; additional countries may be added as ataluren becomes more widely accessible. Enrollment of patients in the STRIDE Registry began in March 2015, and all patients will be followed-up for at least 5 years from the date of their enrollment, or until withdrawal from the study or death [15]. The CINRG DNHS enrolled patients aged 2–28 years with DMD at 20 centers in nine countries from 2006 to 2016 [16,17]. Data from CINRG DNHS patients receiving standard of care (SoC) are used in the present analysis as a control to provide context for assessing the effects of ataluren plus SoC in patients in the STRIDE Registry. SoC refers to palliative therapies and corticosteroid treatment.

Patient eligibility & enrollment

STRIDE Registry

Patient eligibility for the STRIDE Registry and information regarding the study size have been described in full previously [15]. Briefly, patients are eligible to participate in the STRIDE Registry if they have a confirmed genetic diagnosis of DMD and if they are, or will be, receiving usual care treatment with a commercial supply of ataluren (or receiving care within an early access program), and are willing to provide written informed consent for data collection procedures by themselves or a parent/legal guardian. Patients who are receiving ataluren or placebo in an ongoing, blinded, randomized clinical trial or ataluren in any other ongoing clinical trial or early access program that prevents participation in the current registry are not eligible to enroll in the STRIDE Registry, although those receiving ataluren can become eligible once they have completed the required follow-up, and fulfilled the conditions of the trial or early-access program. Data cut-off for inclusion in the present analyses was on 9 July 2018, the same date as that for the patient demographic analyses [15].

CINRG DNHS

Patient eligibility for the CINRG DNHS has been described previously [16,17]. Briefly, to be eligible to participate in the CINRG DNHS, patients aged 2–4 years were required to have a diagnosis of DMD confirmed by one or more of the following: dystrophin immunofluorescence, immunoblot, an out-of-frame deletion or complete dystrophin gene sequencing in the proband or sibling [16,17]. Patients aged 5–28 years were required to meet the same criteria or to have documented clinical symptoms referable to DMD. Direct support of the diagnosis by either a positive DNA analysis, a muscle biopsy showing abnormal dystrophin or a combination of increased creatine kinase levels (>five-times the upper limit of normal) in addition to an X-linked pedigree was also required [16,17]. In total, 440 patients were enrolled in the CINRG DNHS [16,17]. Patients were excluded from the present analyses if they received investigational drugs in previous clinical trials. Nonambulatory patients from the CINRG DNHS were defined in the same way as for those from the STRIDE Registry (requiring full-time use of a wheelchair).

Statistical analyses

Study populations

In the STRIDE Registry, the evaluable population is defined as male patients who provided informed consent and did not fail screening, and the safety population is defined as all patients who received at least one dose of ataluren. The effectiveness population is defined as the subset of the evaluable population with confirmed nmDMD (e.g., patients with a frameshift mutation are excluded) who received at least one dose of ataluren in the registry and did not have missing data for age at loss of ambulation, age at first symptoms, age at first corticosteroid use, duration of deflazacort use and duration of other corticosteroid use.

STRIDE Registry safety & clinical laboratory data

Adverse events (AEs) were coded using the Medical Dictionary for Regulatory Activities (version 20.1). A treatment-emergent AE (TEAE) is defined as an AE that occurs while the patient is receiving ataluren. Any AE with an end date before the date of first recorded use of ataluren, either commercially or through an early access program, was excluded from the TEAE summaries. Clinical laboratory, ECG and heart rhythm evaluations, as well as hypertension status and resting pulse categories were tabulated using frequency and percentage count. The clinical significance of abnormal biochemistry and ECG results was determined by the clinician. The hypertension status (normal, prehypertension and hypertension) was derived based on age, sex and height-adjusted systolic blood pressure and diastolic blood pressure percentile results (hypertensive: ≥95th percentile; prehypertensive: 90th to <95th percentile; normal: <90th percentile) [18]. The resting pulses were classified into three categories (low, normal and elevated) based on the following normal ranges for different age groups: 3–4 years, 73–137 beats per minute (bpm); 5–7 years, 65–133 bpm; 8–11 years, 62–130 bpm; 12–15 years, 80–119 bpm; >16 years, 60–100 bpm.

STRIDE Registry & CINRG DNHS data comparisons

To eliminate bias and to enable a robust comparison between the STRIDE Registry and the CINRG DNHS, propensity score matching was performed to identify a subset of patients in the CINRG DNHS who were comparable to patients in the STRIDE Registry according to established predictors of disease progression. Propensity score matching is a method used to estimate the effect of receiving treatment when random assignment of patients to treatments is not possible [19], and has been used in recent studies to balance characteristics of patients according to covariates across cohorts to achieve comparable groups [20,21]. The propensity score was created using a logistic regression model with the following covariates: age at first clinical symptoms, age at first corticosteroid use, duration of deflazacort use (<1 month, ≥1 to <12 months, ≥12 months); and duration of other corticosteroid use (<1 month, ≥1 to <12 months, ≥12 months). Age at first symptoms is prognostic for severity of disease: the earlier the age of symptom onset, the more severe and rapid the course of disease progression. A 1-year increase in the age at onset of first symptoms was associated with a 10% reduction in annual risk of loss of ambulation for a cohort of patients with either DMD or Becker muscular dystrophy [22]. Age at first corticosteroid use, duration of corticosteroid use and duration of deflazacort use represent key factors that are known to alter the course of the disease [16,23]. Corticosteroid-naive patients without age at first corticosteroid use data were captured in the propensity score calculations by imputing their age at first corticosteroid use as 30 years. Once the propensity score was calculated, a local optimal (greedy) algorithm based on the nearest neighbor approaches without replacement was used to find the matching controls [24]. Using the local optimal algorithms approach, patients from both the STRIDE Registry and the CINRG DNHS were first randomly sorted. The first patient from the STRIDE Registry was selected to find the closest matching patient from the CINRG DNHS, based on the absolute value of the difference between their propensity scores (predicted probability from the logistic regression model). The patient from the CINRG DNHS with the closest propensity score was selected as the matching control and was no longer available for further matching. This procedure was repeated for all patients from the STRIDE Registry for a one-to-one match. The primary objective of the propensity score-matched analyses was to use Kaplan–Meier estimates and Cox regression to estimate the distribution of age at loss of ambulation (birth-to-event) among STRIDE Registry patients and matched CINRG DNHS patients. Kaplan–Meier estimates and Cox regression were also used to estimate the distribution of the following secondary time-to-event variables for propensity score-matched STRIDE and CINRG DNHS patients with available data: age when time to stand from supine was greater than or equal to 5 s or greater than or equal to 10 s, age when time to climb four stairs was greater than or equal to 5 s or greater than or equal to 10 s, age when predicted forced vital capacity (FVC) was less than 60%, age when predicted FVC was less than 50%, age when FVC was less than 1 l, age when left ventricular ejection fraction (LVEF) was less than 55% and age when shortening fraction (SF) was less than 28%. All of these milestones reflect the natural disease progression of DMD [16,25-27]. Patients were excluded from these analyses if they had already reached the event milestone before their first assessment in the study; if they did not reach the event milestone, they were censored at the age of their last assessment. The age at event milestone for patients who did reach the event was defined as the age at the first time they reached the event. An FVC below a threshold of 1 l is strongly predictive of subsequent mortality in approximately 3 years and is associated with a fourfold increase in the risk of death [16,28]. Patients with a predicted FVC of less than 60% are considered to have clinically relevant lung volume restriction, and should be treated with lung volume recruitment [26]. Those with a predicted FVC of less than 50% are considered in the late nonambulatory stage of DMD, and should be treated with manual or mechanically assisted coughing [26]. Cardiomyopathy was defined as age when LVEF was less than 55% or age when SF was less than 28% [27]. For each of the time-to-event variables, the median was produced for the STRIDE Registry and CINRG DNHS populations separately, along with the 95% CI constructed based on log–log transformation. Distribution of the variables was compared between the STRIDE Registry and CINRG DNHS populations using a log-rank test stratified by the duration of deflazacort use and the duration of other corticosteroid use (<1 month, ≥1 to <12 months, ≥12 months). The corticosteroid durations are calculated up to the time at loss of ambulation or the latest time that the patient was still known to be ambulatory. Gaps between corticosteroid use were excluded, and the overlap of different corticosteroid use was not double counted. The hazard ratio (HR; STRIDE Registry vs CINRG DNHS) and the corresponding 95% CI were calculated using a Cox proportional hazard model stratified by durations of corticosteroid use, with study (CINRG DNHS or STRIDE), age at first symptoms and age at initiation of corticosteroid use as covariates.

Genotype–phenotype & genotype–treatment benefit analyses

Using data from the STRIDE Registry, correlation analyses were performed to determine whether there is a relationship between the exon location of the nonsense mutation in the DMD gene and age at first symptoms, and between the type of stop codon and age at loss of ambulation. Age at first symptoms was used as a measure of disease severity and age at loss of ambulation as a measure of treatment benefit. A scatter diagram was used to graphically display the correlative relationship between mutation location and disease severity, and differences in mean age at first symptoms across the mutation locations were analyzed using the analysis of variance method. Kaplan–Meier analyses were performed to determine whether ataluren treatment benefit, as assessed by the age at loss of ambulation, was dependent on the stop codon type. Age at loss of ambulation was evaluated using a log-rank test, and the median age at loss of ambulation was estimated using the Kaplan–Meier estimator. Exon locations and stop codon types were deduced from the STRIDE Registry mutation data collected using the online mutational analysis DMD Open-access Variant Explorer tool (www.dmd.nl/DOVE/) [29].

Results

Patient disposition

As of 9 July 2018, 217 patients with nmDMD (Supplementary Figure 1) from 11 countries with 53 active study sites were enrolled in the STRIDE Registry; of these, three patients were girls and one patient failed screening. Of the 213 male patients who provided informed consent and did not fail screening (the evaluable population), all 213 patients received at least one dose of ataluren and were therefore included in the safety population. The 181 patients with confirmed nmDMD were included in the effectiveness population. The following 32 patients were excluded from the effectiveness population for the stated reasons: nine patients had frameshift mutations for which ataluren is not indicated [9], 18 patients had missing age at first symptoms data and five patients had an age at first symptoms equal to 0 years. Full details of the disposition of patients enrolled in the STRIDE Registry, the number of active countries, number of study sites and distribution of patients per country have been reported previously [15]. Data from 400 patients in the CINRG DNHS were utilized for comparisons with those from patients in the STRIDE Registry; 22 patients in the CINRG DNHS were excluded because they had participated in clinical trials of ataluren or had received eteplirsen, drisapersen or tadalafil. A further 18 patients were excluded because they had missing data for age at loss of ambulation and age at first symptoms.

Safety of ataluren

TEAEs were reported for 43 patients (20.2%), who experienced a total of 117 TEAEs (Table 1). Of the 43 patients who experienced TEAEs, four did not use corticosteroids. TEAEs were mostly mild or moderate and were mostly not related to ataluren. None of the TEAEs were life-threatening, and there were no deaths as of the cut-off date. Three patients (1.4%), all of whom used corticosteroids, experienced TEAEs that led to discontinuation of ataluren. The most common TEAEs (in >1% of patients) were gait inability (3.3% [seven patients]), cough, diarrhea, femur fracture, vomiting (1.9% [four patients] each), back pain, gastroenteritis and headache (1.4% [three patients] each).
Table 1.

Treatment-emergent adverse events experienced by patients in the evaluable population of the STRIDE registry.

TEAEsCorticosteroid use
 Yes (n = 190)No (n = 23)All (n= 213)
Number of TEAEs9621117
Patients with at least one of the following
TEAE39 (20.5)4 (17.4)43 (20.2)
TEAE related to ataluren4 (2.1)1 (4.3)5 (2.3)
TEAE leading to discontinuation of ataluren3 (1.6)0 (0.0)3 (1.4)
SAE10 (5.3)2 (8.7)12 (5.6)
TEAE with maximum severity,§
Not reported2 (1.1)0 (0.0)2 (0.9)
Unknown2 (1.1)0 (0.0)2 (0.9)
Mild16 (8.4)0 (0.0)16 (7.5)
Moderate15 (7.9)3 (13.0)18 (8.5)
Severe4 (2.1)1 (4.3)5 (2.3)
Life-threatening0 (0.0)0 (0.0)0 (0.0)
Patients with at least one of the following,,#
Injury, poisoning and procedural complications:11 (5.8)1 (4.3)12 (5.6)
– Fall2 (1.1)0 (0.0)2 (0.9)
– Femur fracture3 (1.6)1 (4.3)4 (1.9)
– Humerus fracture2 (1.1)0 (0.0)2 (0.9)
– Ligament sprain2 (1.1)0 (0.0)2 (0.9)
Infections and infestations:8 (4.2)2 (8.7)10 (4.7)
– Gastroenteritis3 (1.6)0 (0.0)3 (1.4)
– Nasopharyngitis2 (1.1)0 (0.0)2 (0.9)
– Upper respiratory tract infection2 (1.1)0 (0.0)2 (0.9)
General disorders and administration-site conditions:8 (4.2)1 (4.3)9 (4.2)
– Gait inability6 (3.2)1 (4.3)7 (3.3)
– Pyrexia2 (1.1)0 (0.0)2 (0.9)
Gastrointestinal disorders:7 (3.7)1 (4.3)8 (3.8)
– Abdominal pain1 (0.5)1 (4.3)2 (0.9)
– Diarrhea4 (2.1)0 (0.0)4 (1.9)
– Vomiting3 (1.6)1 (4.3)4 (1.9)
Musculoskeletal and connective tissue disorders:8 (4.2)0 (0.0)8 (3.8)
– Back pain3 (1.6)0 (0.0)3 (1.4)
– Rhabdomyolysis; myoglobinuria2 (1.1)0 (0.0)2 (0.9)
Respiratory, thoracic and mediastinal disorders4 (2.1)1 (4.3)5 (2.3)
Cough4 (2.1)0 (0.0)4 (1.9)
Nervous system disorders3 (1.6)1 (4.3)4 (1.9)
Headache2 (1.1)1 (4.3)3 (1.4)
Investigations3 (1.6)0 (0.0)3 (1.4)
Increased lipids2 (1.1)0 (0.0)2 (0.9)

Data represented as n (%).

TEAE is defined as any AE with an end date on or after the first date of ataluren use. Events with missing severity are not reported.

TEAE categories.

For patients with two or more AEs, the event with the maximum severity was reported. The order of severity is: ‘Not reported’, ‘Unknown’, ‘Mild’, ‘Moderate’, ‘Severe’ and ‘Life-threatening’.

AEs were coded using the Medical Dictionary for Regulatory Activities (version 20.1)

A patient who reported at least one occurrence with the same preferred term was counted only once for that term.

AE: Adverse event; SAE: Serious adverse event; STRIDE: Strategic Targeting of Registries and International Database of Excellence; TEAE: Treatment-emergent adverse event.

Data represented as n (%). TEAE is defined as any AE with an end date on or after the first date of ataluren use. Events with missing severity are not reported. TEAE categories. For patients with two or more AEs, the event with the maximum severity was reported. The order of severity is: ‘Not reported’, ‘Unknown’, ‘Mild’, ‘Moderate’, ‘Severe’ and ‘Life-threatening’. AEs were coded using the Medical Dictionary for Regulatory Activities (version 20.1) A patient who reported at least one occurrence with the same preferred term was counted only once for that term. AE: Adverse event; SAE: Serious adverse event; STRIDE: Strategic Targeting of Registries and International Database of Excellence; TEAE: Treatment-emergent adverse event. 12 patients (5.6%) experienced serious adverse events (SAEs; Table 1). Of these, ten used corticosteroids and two did not. Two patients reported humerus fractures and two patients reported femur fractures; of these, one patient with a femur fracture did not use corticosteroids. The following SAEs were reported in one patient each: appendicitis, orchidopexy, rhabdomyolysis, left ventricular dysfunction, joint surgery, gastroenteritis and fall. One patient experienced acute respiratory decompensation, pneumonia and secretion retention. All SAEs in all patients were determined by the investigator to be unrelated to ataluren treatment except for left ventricular dysfunction, of which the causal relationship to ataluren was determined as ‘unknown’ by the investigator. TEAEs in five patients (2.3%) were considered to be related to ataluren; of these patients, four used corticosteroids and one did not. TEAEs considered related to ataluren included: abdominal pain (one patient), abdominal pain and diarrhea (one patient), abdominal pain and vomiting (one patient), headache (one patient) and increased lipids (one patient). TEAEs in five patients (2.3%) were considered severe; of these patients, four used corticosteroids and one did not. TEAEs considered severe included acute respiratory decompensation and secretion retention (one patient), femur fracture (one patient), femur fracture and gait inability (one patient), gait inability (one patient) and gastroenteritis (one patient); all were determined by the investigator to be unrelated to ataluren. Laboratory results, including serum lipid profiles, vital signs and cardiac measurements, for patients receiving ataluren are shown in Supplementary Tables 2–5. Clinically significant laboratory abnormalities were infrequent, and no clinically meaningful trends were observed in these laboratory assessments. The numbers of patients who experienced a shift in results from normal at the time of the first assessment to a value considered significantly abnormal by the investigator at subsequent assessments for HDL, LDL, triglycerides and total cholesterol were infrequent (HDL, 1 [1.2%] of 66; LDL, 2 [2.5%] of 67; triglycerides, 5 [4.8%] of 80; total cholesterol, 4 [3.4%] of 87; Supplementary Table 2). Owing to the potential confounding factor posed by corticosteroid use on lipid assessments, shifts in serum lipid parameters are also summarized for the subgroup of patients who did not use corticosteroids (Supplementary Table 3). No shifts in results from normal at the time of the first assessment to clinically significantly abnormal were noted in ataluren-treated patients who did not use corticosteroids. Of the 75 patients (53.6%) who had normal blood pressure values at the time of the first assessment, 16 (11.4%) experienced a shift in values from normal to prehypertensive and 18 (12.9%) experienced a shift in values from normal to hypertensive (Supplementary Table 4). All but one of the patients with a shift in blood pressure values from normal to prehypertensive were patients who used corticosteroids. The same was true for patients with a shift in blood pressure from normal to hypertensive. Six patients (4.3%) who were prehypertensive at the time of the first assessment shifted to a normotensive status. Shifts in pulse rate from normal at the first assessment to elevated or low rates were infrequent and observed only in patients who used corticosteroids (Supplementary Table 4). Of the 90 patients (42.3%) with at least two ECG assessments, three patients experienced shifts in ECG results from normal at the first assessment to clinically significantly abnormal (Supplementary Table 5). There were no shifts from normal at the time of first assessment to clinically significant abnormalities in hepatic enzymes (AST, ALT, GGT and total bilirubin) or in renal test results for blood urea nitrogen and cystatin C (Supplementary Table 6). As expected for patients with DMD, many patients had abnormally low levels of serum creatinine at first assessment and throughout the study; one patient shifted from normal at the time of first assessment to a clinically significant abnormality [30].

Patient demographics & characteristics

A comparison between the STRIDE Registry effectiveness population (n = 181) and the unmatched CINRG DNHS population (n = 400) revealed differences between the populations (Table 2). Propensity matching of the CINRG DNHS population yielded a population (n = 181) that was more comparable to the STRIDE Registry population (n = 181) with respect to age at first clinical symptoms, age at first corticosteroid use, duration of deflazacort use and duration of other corticosteroid use, which provided a relevant basis for comparison (Supplementary Figure 2). Median durations of total exposure to corticosteroids in the unmatched populations from the STRIDE Registry and the CINRG DNHS were 568 days (n = 181; range, 0–5404; 95% CI: 822–1169) and 997 days (n = 400; range, 0–5970; 95% CI: 1154–1398), respectively; after matching, median durations were 568 days (n = 181; range, 0–5404; 95% CI: 822–1169) and 563 days (n = 181; range, 0–5254; 95% CI: 807–1149), respectively (Table 2). Most other patient demographic and disease characteristics were similar between the propensity score-matched populations of the STRIDE Registry and CINRG DNHS (Supplementary Table 1). Age at the last assessment was higher for the matched population from the CINRG DNHS than for that from the STRIDE Registry, in line with a longer follow-up treatment period for patients in the CINRG DNHS. Median durations of treatment follow-up in the unmatched populations from the STRIDE Registry and the CINRG DNHS were 616 days (n = 181; range, 5–1453; 95% CI: 579–686) and 1796 days (n = 400; range, 0–3540; 95% CI: 1554–1755), respectively; after matching, median durations were 616 days (n = 181; range, 5–1453; 95% CI: 579–686) and 1811 days (n = 181; range, 0–3485; 95% CI: 1441–1739), respectively. The mean (standard deviation [SD]) exposure to ataluren of the propensity-matched STRIDE Registry population was 632.5 (362.9) days, a total of 313.4 patient-years. Patient demographics and disease characteristics of the STRIDE Registry evaluable population (n = 213) have been described previously [15].
Table 2.

Demographics of patients in the STRIDE Registry and CINRG DNHS before and after propensity-score matching.

DemographicUnmatched populationPropensity-matched population
 STRIDE (n = 181)CINRG (n = 400)STRIDE (n = 181)CINRG (n = 181)
Age at first symptoms (years)
– Mean (SD)2.80 (1.71)3.22 (1.69)2.80 (1.71)2.92 (1.64)
– SE0.130.080.130.12
– 95% CI2.55–3.053.05–3.382.55–3.052.68–3.16
– Median2.503.002.503.00
– Min–max0.10–8.000.00–8.000.10–8.000.00–8.00
– p-value0.00600.4766
Age at first corticosteroid use (excluding corticosteroid-naive patients) (years)n = 123n = 317n = 123n = 119
– Mean (SD)6.87 (2.32)6.74 (2.05)6.87 (2.32)6.93 (2.27)
– SE0.210.120.210.21
– 95% CI6.46–7.296.51–6.976.46–7.296.51–7.34
– Median6.476.576.476.87
– Min–max2.93–13.241.99–14.252.93–13.242.71–14.25
– p-value0.55400.8607
Deflazacort duration§, n (%)
– <1 month or corticosteroid-naive126 (69.6)235 (58.8)126 (69.6)131 (72.4)
– ≥1 to <12 months9 (5.0)20 (5.0)9 (5.0)4 (2.2)
– ≥12 months46 (25.4)145 (36.3)46 (25.4)46 (25.4)
– p-value0.03310.3642
Other corticosteroid duration§, n (%)
– <1 month or corticosteroid-naive107 (59.1)205 (51.3)107 (59.1)110 (60.8)
– ≥1 to <12 months11 (6.1)35 (8.8)11 (6.1)12 (6.6)
– ≥12 months63 (34.8)160 (40.0)63 (34.8)59 (32.6)
– p-value0.17950.8976
Total exposure to corticosteroids (days)
– Mean (SD)995 (1184)1276 (1236)995 (1184)978 (1166)
– SE88628887
– 95% CI822–11691154–1398822–1169807–1149
– Median568997568563
– Min–max0–54040–59700–54040–5254
– p-value0.01050.8882
Treatment follow-up duration (days)
– Mean (SD)632 (363)1655 (1023)632 (363)1590 (1013)
– SE27512775
– 95% CI579–6861554–1755579–6861441–739
– Median61617966161811
– Min–max5–14530–35405–14530–3485
– p-value<0.0001<0.0001

Propensity-score model covariates include age at first symptoms, age at first corticosteroid use, duration of deflazacort and duration of use of corticosteroids other than deflazacort.

A minimum age value of 0 years is due to a prenatal diagnosis.

Corticosteroid-naive patients were excluded to calculate the true age at first corticosteroid use. Corticosteroid-naive patients without age at first corticosteroid use data were captured by imputing their age at first corticosteroid use as 30 years; these data were imputed into the propensity-score calculations.

Corticosteroid duration is calculated from the date at which corticosteroid use was started to the date of loss of ambulation or the date of the last assessment. The same patient may be included in both the ‘deflazacort duration’ and ‘other corticosteroid duration’ groups if they had received both deflazacort or another corticosteroid at any one-time.

CINRG DNHS: Cooperative International Neuromuscular Research Group Duchenne Natural History Study; max: Maximum; min: Minimum; SD: Standard deviation; SE: Standard error; STRIDE: Strategic Targeting of Registries and International Database of Excellence.

Propensity-score model covariates include age at first symptoms, age at first corticosteroid use, duration of deflazacort and duration of use of corticosteroids other than deflazacort. A minimum age value of 0 years is due to a prenatal diagnosis. Corticosteroid-naive patients were excluded to calculate the true age at first corticosteroid use. Corticosteroid-naive patients without age at first corticosteroid use data were captured by imputing their age at first corticosteroid use as 30 years; these data were imputed into the propensity-score calculations. Corticosteroid duration is calculated from the date at which corticosteroid use was started to the date of loss of ambulation or the date of the last assessment. The same patient may be included in both the ‘deflazacort duration’ and ‘other corticosteroid duration’ groups if they had received both deflazacort or another corticosteroid at any one-time. CINRG DNHS: Cooperative International Neuromuscular Research Group Duchenne Natural History Study; max: Maximum; min: Minimum; SD: Standard deviation; SE: Standard error; STRIDE: Strategic Targeting of Registries and International Database of Excellence.

Effectiveness of ataluren

Age at loss of ambulation

The median (95% CI) age at loss of ambulation for the matched STRIDE Registry and CINRG DNHS populations was 14.5 years (13.9, not available [NA]) and 11.0 years (10.5, 12.0), respectively, demonstrating a statistically significant difference in favor of ataluren treatment (p < 0.0001; HR: 0.283; Figure 1). Of the 181 propensity-score matched patients, three patients in the STRIDE Registry (1.7%) and 41 patients in the CINRG DNHS (22.7%) lost ambulation before the age of 10 years. There were 13 patients in the STRIDE Registry (7.2%; as of 9 July 2018) and six patients in the CINRG DNHS (3.3%; as of 19 March 2018) who were still ambulatory after the age of 15 years.
Figure 1.

Age at loss of ambulation for propensity-score matched patients from the STRIDE Registry and CINRG DNHS.

Propensity-score model covariates include age at first symptoms, age at first corticosteroid use, duration of deflazacort use and duration of use of corticosteroids other than deflazacort. Censor dates for censored patients in the STRIDE Registry were derived from the last assessment date across treatment, physical examination, vital signs, 6-minute walk distance, timed function tests, North Star Ambulatory Assessments, percentage of predicted FVC and upper limb function tests. Corticosteroid duration is calculated from the date at which corticosteroid use was started to the date of loss of ambulation or the date of the last assessment.

†‘+’ indicates a censored observation.

‡p-value is from a log-rank test stratified by deflazacort and other corticosteroid usage durations.

§HR is from stratified (by durations of deflazacort and other corticosteroid use) Cox regression with study, age at first symptoms and age at first corticosteroid use as covariates. The HR is STRIDE Registry versus CINRG DNHS.

CINRG DNHS: Cooperative International Neuromuscular Research Group Duchenne Natural History Study; FVC: Forced vital capacity; HR: Hazard ratio; max: Maximum; min: Minimum; NA: Not available; STRIDE: Strategic Targeting of Registries and International Database of Excellence.

Age at loss of ambulation for propensity-score matched patients from the STRIDE Registry and CINRG DNHS.

Propensity-score model covariates include age at first symptoms, age at first corticosteroid use, duration of deflazacort use and duration of use of corticosteroids other than deflazacort. Censor dates for censored patients in the STRIDE Registry were derived from the last assessment date across treatment, physical examination, vital signs, 6-minute walk distance, timed function tests, North Star Ambulatory Assessments, percentage of predicted FVC and upper limb function tests. Corticosteroid duration is calculated from the date at which corticosteroid use was started to the date of loss of ambulation or the date of the last assessment. †‘+’ indicates a censored observation. ‡p-value is from a log-rank test stratified by deflazacort and other corticosteroid usage durations. §HR is from stratified (by durations of deflazacort and other corticosteroid use) Cox regression with study, age at first symptoms and age at first corticosteroid use as covariates. The HR is STRIDE Registry versus CINRG DNHS. CINRG DNHS: Cooperative International Neuromuscular Research Group Duchenne Natural History Study; FVC: Forced vital capacity; HR: Hazard ratio; max: Maximum; min: Minimum; NA: Not available; STRIDE: Strategic Targeting of Registries and International Database of Excellence.

Age at worsening of timed function test results

Compared with propensity score-matched patients from the CINRG DNHS, patients from the STRIDE Registry receiving ataluren were older when their time to stand from supine worsened to greater than or equal to 5 s (median age [95% CI]: STRIDE, 12.0 years [8.5, 16.8]; CINRG, 9.1 years [8.1, 9.7]; p = 0.0031; HR: 0.241) and greater than or equal to 10 s (median age [95% CI]: STRIDE, 14.0 years [11.8, 18.6]; CINRG, 9.9 years [9.6, 11.4]; p = 0.0008; HR: 0.290; Figure 2). Patients from STRIDE were also older than matched patients from CINRG when their time to climb four stairs worsened to greater than or equal to 5 s (median age [95% CI]: STRIDE, 12.3 years [10.9, 14.0]; CINRG, 10.9 years [8.7, 12.3]; p = 0.0386; HR, 0.400) and greater than or equal to 10 s (median not reached; 25% quantile [95% CI]: STRIDE, 13.4 years [9.9, NA]; CINRG, 9.8 years [9.0, 11.6]; p = 0.0195; HR: 0.385; Figure 3).
Figure 2.

Age at time to stand from supine (A) ≥5 s and (B) ≥10 s for propensity-score matched patients from the STRIDE Registry and CINRG DNHS.

Propensity-score model covariates include age at first symptoms, age at first corticosteroid use, duration of deflazacort use and duration of use of corticosteroids other than deflazacort. Censor dates for censored patients in the STRIDE Registry were derived from the last assessment date across treatment, physical examination, vital signs, 6-minute walk distance, timed function tests, North Star Ambulatory Assessments, percentage of predicted FVC and upper limb function tests. Corticosteroid duration is calculated from the date at which corticosteroid use was started to the date of loss of ambulation or the date of the last assessment.

†Event = time to stand from supine ≥5 s or ≥10 s.

‡‘+’ indicates a censored observation.

§p-value is from a log-rank test stratified by deflazacort and other corticosteroid usage durations.

¶HR is from stratified (by durations of deflazacort and other corticosteroid use) Cox regression with study, age at first symptoms and age at first corticosteroid use as covariates. The HR is STRIDE Registry versus CINRG DNHS.

CINRG DNHS: Cooperative International Neuromuscular Research Group Duchenne Natural History Study; FVC: Forced vital capacity; HR: Hazard ratio; max: Maximum; min: Minimum; NA: Not available; STRIDE: Strategic Targeting of Registries and International Database of Excellence.

Figure 3.

Age at time to climb four stairs (A) ≥5 s and (B) ≥10 s for propensity score-matched patients from the STRIDE Registry and CINRG DNHS.

Propensity-score model covariates include age at first symptoms, age at first corticosteroid use, duration of deflazacort use and duration of use of corticosteroids other than deflazacort. Censor dates for censored patients in the STRIDE Registry were derived from the last assessment date across treatment, physical examination, vital signs, 6-minute walk distance, timed function tests, North Star Ambulatory Assessments, percentage of predicted FVC and upper limb function tests. Corticosteroid duration is calculated from the date at which corticosteroid use was started to the date of loss of ambulation or the date of the last assessment.

†Event = time to climb four stairs ≥5 s or ≥10 s.

‡‘+’ indicates a censored observation.

§p-value is from a log-rank test stratified by deflazacort and other corticosteroid usage durations.

¶HR is from stratified (by durations of deflazacort and other corticosteroid use) Cox regression with study, age at first symptoms and age at first corticosteroid use as covariates. The HR is STRIDE Registry versus CINRG DNHS.

CINRG DNHS: Cooperative International Neuromuscular Research Group Duchenne Natural History Study; FVC: Forced vital capacity; HR: Hazard ratio; max: Maximum; min: Minimum; NA: Not available; STRIDE: Strategic Targeting of Registries and International Database of Excellence.

Age at time to stand from supine (A) ≥5 s and (B) ≥10 s for propensity-score matched patients from the STRIDE Registry and CINRG DNHS.

Propensity-score model covariates include age at first symptoms, age at first corticosteroid use, duration of deflazacort use and duration of use of corticosteroids other than deflazacort. Censor dates for censored patients in the STRIDE Registry were derived from the last assessment date across treatment, physical examination, vital signs, 6-minute walk distance, timed function tests, North Star Ambulatory Assessments, percentage of predicted FVC and upper limb function tests. Corticosteroid duration is calculated from the date at which corticosteroid use was started to the date of loss of ambulation or the date of the last assessment. †Event = time to stand from supine ≥5 s or ≥10 s. ‡‘+’ indicates a censored observation. §p-value is from a log-rank test stratified by deflazacort and other corticosteroid usage durations. ¶HR is from stratified (by durations of deflazacort and other corticosteroid use) Cox regression with study, age at first symptoms and age at first corticosteroid use as covariates. The HR is STRIDE Registry versus CINRG DNHS. CINRG DNHS: Cooperative International Neuromuscular Research Group Duchenne Natural History Study; FVC: Forced vital capacity; HR: Hazard ratio; max: Maximum; min: Minimum; NA: Not available; STRIDE: Strategic Targeting of Registries and International Database of Excellence.

Age at time to climb four stairs (A) ≥5 s and (B) ≥10 s for propensity score-matched patients from the STRIDE Registry and CINRG DNHS.

Propensity-score model covariates include age at first symptoms, age at first corticosteroid use, duration of deflazacort use and duration of use of corticosteroids other than deflazacort. Censor dates for censored patients in the STRIDE Registry were derived from the last assessment date across treatment, physical examination, vital signs, 6-minute walk distance, timed function tests, North Star Ambulatory Assessments, percentage of predicted FVC and upper limb function tests. Corticosteroid duration is calculated from the date at which corticosteroid use was started to the date of loss of ambulation or the date of the last assessment. †Event = time to climb four stairs ≥5 s or ≥10 s. ‡‘+’ indicates a censored observation. §p-value is from a log-rank test stratified by deflazacort and other corticosteroid usage durations. ¶HR is from stratified (by durations of deflazacort and other corticosteroid use) Cox regression with study, age at first symptoms and age at first corticosteroid use as covariates. The HR is STRIDE Registry versus CINRG DNHS. CINRG DNHS: Cooperative International Neuromuscular Research Group Duchenne Natural History Study; FVC: Forced vital capacity; HR: Hazard ratio; max: Maximum; min: Minimum; NA: Not available; STRIDE: Strategic Targeting of Registries and International Database of Excellence.

Age at worsening of pulmonary & cardiac functions

The ages at worsening of pulmonary functions for patients in the propensity score-matched STRIDE Registry and CINRG DNHS populations, as measured by reductions in predicted FVC to lower than 60% or 50% and FVC to lower than 1 l are shown in Table 3. These results suggest a trend toward delayed worsening of pulmonary function for patients in STRIDE compared with those in CINRG DNHS. However, given the low number of events, and the shorter duration of follow-up on ataluren treatment in the STRIDE Registry in comparison to the CINRG DNHS cohort, it is premature to draw firm conclusions from these results. The age at worsening of cardiac functions by echocardiography, as measured by reductions in LVEF to lower than 55% and SF to lower than 28%, are shown in Supplementary Table 7. Similarly, owing to the short duration of follow-up and slow progression of cardiomyopathy in DMD, conclusions could not yet be made on the cardiac function results.
Table 3.

Age at predicted forced vital capacity <60%, predicted forced vital capacity <50% and forced vital capacity <1 l for propensity score-matched patients from the STRIDE Registry and CINRG DNHS.

Number of patients, n (%)Predicted FVC <60%Predicted FVC <50%FVC <1 l
 STRIDE (n = 181)CINRG (n = 181)STRIDE (n = 181)CINRG (n = 181)STRIDE (n = 181)CINRG (n = 181)
Assessed12396136109129130
With events4 (3.3)35 (36.5)3 (2.2)35 (32.1)0 (0.0)31 (23.8)
Censored119 (96.7)61 (63.5)133 (97.8)74 (67.9)129 (100.0)99 (76.2)
Age at event (years)
25% quantile (95% CI)NA13.4 (12.2–14.1)NA (15.5–NA)14.3 (13.1–15.9)NA19.1 (16.4–22.2)
Median (95% CI)NA15.1 (14.0–17.1)NA16.9 (15.4–19.6)NA24.9 (20.8–29.5)
75% quantile (95% CI)NA19.7 (16.7–NA)NA20.7 (18.4–25.1)NA29.8 (25.3–33.9)
Min–max5.4+–19.0+6.0+–20.7+5.4+–23.8+6.0+–25.15.4+–23.8+6.0+–33.9
p-value§<0.0001 0.0008 0.0029 
HR (95% CI)0.148 (0.052–0.426)0.169 (0.051–0.564)0.000 (0.000–NA)

Propensity-score model covariates include age at first symptoms, age at first corticosteroid use, duration of deflazacort use and duration of use of corticosteroids other than deflazacort. Censor dates for censored patients in the STRIDE Registry were derived from the last assessment date across treatment, physical examination, vital signs, 6-minute walk distance, timed function tests, North Star Ambulatory Assessments, percentage of predicted FVC and upper limb function tests. Corticosteroid duration is calculated from the date at which corticosteroid use was started to the date of the last assessment.

Event = percentage predicted FVC <60%, FVC <50% or FVC <1 l.

‘+’ indicates a censored observation.

p-value is from a log-rank test stratified by deflazacort and other corticosteroid usage durations.

HR is from stratified (by durations of deflazacort and other corticosteroid use) Cox regression with study, age at first symptoms and age at first corticosteroid use as covariates. The HR is STRIDE Registry versus CINRG DNHS.

CINRG DNHS: Cooperative International Neuromuscular Research Group Duchenne Natural History Study; FVC: Forced vital capacity; HR: Hazard ratio; max: Maximum; min: Minimum; NA: Not available; STRIDE: Strategic Targeting of Registries and International Database of Excellence.

Propensity-score model covariates include age at first symptoms, age at first corticosteroid use, duration of deflazacort use and duration of use of corticosteroids other than deflazacort. Censor dates for censored patients in the STRIDE Registry were derived from the last assessment date across treatment, physical examination, vital signs, 6-minute walk distance, timed function tests, North Star Ambulatory Assessments, percentage of predicted FVC and upper limb function tests. Corticosteroid duration is calculated from the date at which corticosteroid use was started to the date of the last assessment. Event = percentage predicted FVC <60%, FVC <50% or FVC <1 l. ‘+’ indicates a censored observation. p-value is from a log-rank test stratified by deflazacort and other corticosteroid usage durations. HR is from stratified (by durations of deflazacort and other corticosteroid use) Cox regression with study, age at first symptoms and age at first corticosteroid use as covariates. The HR is STRIDE Registry versus CINRG DNHS. CINRG DNHS: Cooperative International Neuromuscular Research Group Duchenne Natural History Study; FVC: Forced vital capacity; HR: Hazard ratio; max: Maximum; min: Minimum; NA: Not available; STRIDE: Strategic Targeting of Registries and International Database of Excellence.

Effect of DMD genotype on disease severity & ataluren treatment benefit

For patients with nmDMD in the effectiveness population of the STRIDE Registry (n = 181), no difference in age at first symptoms was observed among the DMD nonsense mutation locations (p = 0.4114), indicating that the nonsense mutation location had no significant effect on disease severity (Figure 4). Furthermore, there was no significant effect observed of the type of premature stop codon on the age at loss of ambulation (point estimate for 25% quantile of age at loss of ambulation [95% CI]: UAA [n = 41], 12.72 [10.41–13.44] years; UAG [n = 68], 12.79 [12.20–14.52] years; UGA [n = 72], 12.46 [10.95–13.86] years; p = 0.1966), demonstrating that the type of premature stop codon in patients with nmDMD did not influence their treatment benefit (Figure 5).
Figure 4.

Correlation analysis of the effect of nonsense mutation exon location on disease severity (as measured by age at first symptoms) for patients from the STRIDE Registry (n = 181).

Figure 5.

Kaplan–Meier analysis estimating the effect of the type of premature stop codon on ataluren treatment benefit as assessed by age at loss of ambulation for patients from the STRIDE Registry (n = 181).

A: Adenine; G: Guanine; U: Uracil.

Kaplan–Meier analysis estimating the effect of the type of premature stop codon on ataluren treatment benefit as assessed by age at loss of ambulation for patients from the STRIDE Registry (n = 181).

A: Adenine; G: Guanine; U: Uracil.

Discussion

The STRIDE Registry provides real-world evidence on the long-term outcomes of patients with nmDMD receiving ataluren during routine clinical practice and therefore builds on evidence generated from previous clinical trials of ataluren, which were 48 weeks in duration [13,14]. Here, we have described the safety and effectiveness results of ataluren in patients with genetically confirmed nmDMD in the STRIDE Registry as of the cut-off date of 9 July 2018, and the results of correlation analyses of DMD genotype versus disease severity and DMD genotype versus ataluren treatment benefit. Ataluren was well tolerated in patients with nmDMD and had a safety profile consistent with that shown in previous clinical trials, with TEAEs in most patients being mild or moderate and not related to ataluren [13,14]. To assess the real-world, long-term effectiveness of ataluren, we compared results between propensity score-matched patient populations from the STRIDE Registry, which included patients with nmDMD receiving ataluren plus SoC and the CINRG DNHS, comprising data from patients with any DMD genotype receiving the SoC only. Propensity matching of all patients in the effectiveness population of the STRIDE Registry population with patients in the CINRG DNHS yielded populations that were comparable with respect to age at first corticosteroid use, duration of deflazacort use, duration of other corticosteroid use and age at first symptoms, which is predictive of age at loss of ambulation [22]. As of the STRIDE Registry cut-off date of 9 July 2018, patients in the CINRG DNHS had a longer median follow-up period than those in STRIDE (1811 vs 616 days), which is not surprising given that patients were enrolled in the CINRG DNHS for a period of up to 10 years (median of 1811 days, ~5 years). Compared with propensity score-matched patients receiving SoC in the CINRG DNHS, patients in the STRIDE Registry receiving ataluren had significantly delayed loss of ambulation and delayed worsening of timed function test results, as measured by increases in times to stand from supine and to climb four stairs. The median age at loss of ambulation for patients with DMD in the CINRG DNHS has been reported previously for distinct subgroups [16,31,32]. Bello et al. [32] showed that 212 of the 340 CINRG patients enrolled between 2006 and 2009, who had available evidence of a DMD genetic mutation, had a median age at loss of ambulation of 12.0 years. A separate study by Bello et al. [31] showed that median age at loss of ambulation was approximately 3 years later in CINRG DNHS patients who were treated with corticosteroids for at least 1 year while they were ambulatory, compared with CINRG DNHS patients who were never treated or treated with corticosteroids for less than 1 year (13.0 vs 10.0 years; n = 252 vs 88). Median age at loss of ambulation was later in CINRG DNHS patients who received daily deflazacort than in those who received daily prednisone (13.9 vs 11.2 years; n = 80 vs 94) [31]. In a more recent analysis of CINRG DNHS patients enrolled between 2006 and 2009 or 2012 and 2016, McDonald et al. [16] also showed that the median age at loss of ambulation was later in patients who were treated with corticosteroids for at least 1 year than in those who were never treated or treated with corticosteroids for less than 1 month (13.4 vs 10.0 years; n = 329 vs 73), and later in patients who received deflazacort than in those who received prednisone (14.0 vs 11.3 years). In the present analysis, median age at loss of ambulation for the unmatched CINRG DNHS population with DMD (n = 400) was 12.0 years, which is the same median age for patients with DMD as that reported by one of the CINRG DNHS articles by Bello et al. [32]. Furthermore, the median age at loss of ambulation for the unmatched population who received corticosteroids for at least 12 months (n = 275) was 13.5 years in the present analysis, which is similar to the median age of 13.4 years reported for the same subgroup by McDonald et al. [16]. Although the median age at loss of ambulation of 11.0 years for the propensity score-matched CINRG DNHS population in the present analysis was younger than that previously reported, this population has been matched to the STRIDE Registry population according to established predictors of disease progression, including corticosteroid type and duration, and is therefore a comparable group to the STRIDE Registry population. It should be noted, however, that propensity score matching can only adjust for measured covariates, and thus it cannot be guaranteed that confounding factors have been removed [19]. Furthermore, propensity score matching involves the assumption that the propensity score model has been correctly specified, and cannot account for unobserved variables [19]. Results showing the age at worsening of pulmonary function, as measured by reductions in predicted FVC to lower than 60% or 50% and FVC to lower than 1 l, for patients in the matched populations suggest a trend toward delayed worsening of pulmonary function for patients in STRIDE compared with those in the CINRG DNHS. A previous study by McDonald et al. [33] showed that patients in the CINRG DNHS treated with corticosteroids had delayed pulmonary disease progression (using measures including predicted and absolute peak expiratory flow rate, and predicted and absolute FVC), compared with those who were corticosteroid-treatment naive. However, predicted FVC declines were not consistent across all age groups regardless of corticosteroid use, suggesting that studies should be sufficiently long in duration in order to show meaningful pulmonary results [33]. It is important to note for the present study that relatively few patients in the STRIDE Registry reached the pulmonary and cardiac disease progression milestones of clinical significance because they were younger than CINRG DNHS patients, and therefore not as far progressed in their disease. Furthermore, the follow-up treatment period in STRIDE was shorter than that for CINRG DNHS, so patients in STRIDE did not have as much time to decline and reach the pulmonary disease progression milestones. It would therefore be premature to draw any conclusions on these results. Data from a subsequent cut-off date may help to provide greater clarity on these endpoints. Overall, our results corroborate previous evidence that ataluren treatment can slow disease progression in patients with nmDMD, which is considered an important benefit of therapy by the DMD patient community [34]. The motor disease progression milestones evaluated in the present study have previously been shown to be closely related to health-related quality of life measures [16,35]. The delay in loss of motor functions associated with ataluren treatment observed in routine clinical practice is clinically important and meaningful to patients and their families because the progressive loss of each function is usually irreversible. Preservation of motor function impacts a patient’s autonomy and quality of life by postponing the loss of basic daily functions, such as climbing and descending stairs, and walking short distances independently. Furthermore, the time at loss of one function predicts the onset of subsequent disease milestones indicative of disease progression [16,36,37]. For example, age at loss of ambulation is associated with age at future onset of complications of the lungs and heart [16,38]. Corticosteroid treatment has been associated with delayed loss of ambulation [39]. Therefore, the delay in loss of ambulation for patients receiving ataluren compared with those receiving SoC alone represents not only a highly meaningful prolongation of autonomy in daily life but a delay in the onset of subsequent disease milestones and ultimately mortality. It is premature to draw conclusions from the pulmonary and cardiac function results at the STRIDE Registry cut-off date used for the present analysis. If analyses at a future cut-off date show that the age at worsening of these functions is significantly delayed with ataluren treatment in patients with nmDMD in routine clinical practice, then this result would be important because death usually occurs as a result of cardiac or respiratory compromise [1]. As part of the STRIDE Registry database, data were collected on the location of the nonsense mutation and the type of premature stop codon generated [15]. We therefore were interested in determining whether there is a correlation between the nonsense mutation location in the DMD gene and disease severity. Although previously published literature has suggested that nonsense mutation location may affect disease severity (e.g., nonsense mutations early in the DMD gene may sometimes lead to a milder DMD phenotype [5]), our correlation analyses showed no significant relationship between disease severity and exon location of the nonsense mutation. Additionally, the few patients who experienced first symptoms after 6 years of age had mutations spread across the DMD gene. To put our findings into context, we conducted a literature search to identify nonsense mutations that are reported in the literature as leading to a milder disease phenotype. We found only three instances, two of whom had a p.Arg1967* mutation in exon 41 [40]. We conclude that, with the exception of mutations that affect exonic splicing enhancers and that result in exon skipping [32,41-49], there is no evidence for the location of nonsense mutation affecting the severity of disease. Furthermore, no correlation was found between the type of the premature stop codon generated (UGA, UAA or UAG) and age at loss of ambulation, indicating that ataluren treatment benefit is not affected by stop codon type. These findings are caveated by the fact that age at loss of ambulation can be affected by SoC treatment, which was not the same across the STRIDE patients analyzed. As seen in the Phase IIb study of ataluren, in the registry, all three types of stop codon were represented [50]. In the STRIDE Registry, nonsense mutations were located across the length of the DMD gene. Our results showing no correlation between nonsense mutation location or type and disease severity/treatment benefit are aligned with findings from a study by Muntoni et al. [51], which showed no significant associations between the speed of disease progression (as assessed by North Star Ambulatory Assessment score trajectory) and the location of dystrophin nonsense mutations, nor any significant difference between the group of patients with nonsense mutations compared with those with deletions. STRIDE is the first drug registry for patients with DMD and is the largest real-world study of patients with nmDMD to date. STRIDE contains patients with a wider range of ages and ambulatory ability than those in clinical trials, meaning that the data is representative of a broader range of real-world patient experiences in comparison with a short-duration randomized placebo-controlled clinical trial with narrowly defined inclusion criteria. Here, we have assessed the long-term safety of ataluren and conducted correlation analyses on the effect of nonsense mutation location on disease severity for the largest population of patients with nmDMD analyzed to date. Additionally, we have examined the effect of the nonsense mutation location and the type of premature stop codon generated on ataluren treatment benefit in this same population. We have placed the effectiveness results of ataluren from the registry into context by comparing results from patients in STRIDE with those from patients in the CINRG DNHS who have been successfully matched according to well-established predictors of disease progression using propensity score. It should be acknowledged as a limitation of the study that the STRIDE and CINRG DNHS populations were not matched according to mutation type or location. However, the inclusion of patients in the CINRG DNHS with any DMD genotype rather than only patients with nmDMD should not be considered a source of bias because patients were matched based on several factors that are predictors of disease progression, such as age at onset of first symptoms, a known disease severity surrogate that is correlated with age at loss of ambulation for corticosteroid-naive patients [22]. Moreover, the CINRG DNHS serves as a useful comparator to the STRIDE Registry because it includes patients receiving SoC who are experiencing the usual course of DMD disease progression.

Conclusion

Ataluren treatment was well tolerated and was associated with clinical benefit when compared with patients who only received the SoC. The interim results of the STRIDE Registry reported here indicate the benefit of long-term treatment of nmDMD patients with ataluren as used in routine clinical practice in slowing disease progression. These benefits include clinically meaningful preservation of ambulation, which is predictive of disease progression in patients with DMD. Our results observed in routine clinical practice support the clinical benefit of ataluren in slowing nmDMD disease progression over a mean treatment period of 632 days. The interim findings of the STRIDE Registry indicate that ataluren is well tolerated and has favorable outcomes in patients with nmDMD over a longer period of time than can be afforded in clinical trials. Ataluren is an oral treatment for patients with nonsense mutation Duchenne muscular dystrophy (nmDMD) designed to promote readthrough of an in-frame premature stop codon and to enable the production of full-length dystrophin. Strategic Targeting of Registries and International Database of Excellence (STRIDE) is an ongoing registry of patients receiving ataluren in clinical practice. Ataluren was well tolerated in patients with nmDMD and had a safety profile consistent with that shown in previous clinical trials. Propensity score matching was performed to identify patients from STRIDE and the Cooperative International Neuromuscular Research Group Duchenne Natural History Study (CINRG DNHS) who were comparable in established predictors of disease progression. Kaplan–Meier analyses demonstrated that patients receiving ataluren plus standard of care (SoC) in STRIDE had a significantly delayed age at loss of ambulation, worsening of performance in timed function tests and worsening of pulmonary function versus patients receiving SoC alone in the CINRG DNHS (all p ≤ 0.0386). Ataluren plus SoC was associated with delayed deterioration of cardiac function versus SoC alone, although this did not reach statistical significance. No correlation was observed between DMD genotype and disease progression or treatment benefit for patients with nmDMD. Our results indicate that ataluren plus SoC delays milestones of DMD progression in patients with nmDMD in routine clinical practice. Click here for additional data file. Click here for additional data file. Click here for additional data file.
  46 in total

1.  Diagnosis of becker muscular dystrophy: Results of Re-analysis of DNA samples.

Authors:  Chiara S M Straathof; Dave Van Heusden; Pieternella F Ippel; Jan G Post; Nicol C Voermans; Marianne De Visser; Esther Brusse; Janneke C Van Den Bergen; Anneke J Van Der Kooi; Jan J G M Verschuuren; Hendrika B Ginjaar
Journal:  Muscle Nerve       Date:  2015-06-03       Impact factor: 3.217

2.  Statistics in Brief: An Introduction to the Use of Propensity Scores.

Authors:  Maria C S Inacio; Yuexin Chen; Elizabeth W Paxton; Robert S Namba; Steven M Kurtz; Guy Cafri
Journal:  Clin Orthop Relat Res       Date:  2015-03-13       Impact factor: 4.176

3.  Ataluren stimulates ribosomal selection of near-cognate tRNAs to promote nonsense suppression.

Authors:  Bijoyita Roy; Westley J Friesen; Yuki Tomizawa; John D Leszyk; Jin Zhuo; Briana Johnson; Jumana Dakka; Christopher R Trotta; Xiaojiao Xue; Venkateshwar Mutyam; Kim M Keeling; James A Mobley; Steven M Rowe; David M Bedwell; Ellen M Welch; Allan Jacobson
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-04       Impact factor: 11.205

4.  Long-term effects of glucocorticoids on function, quality of life, and survival in patients with Duchenne muscular dystrophy: a prospective cohort study.

Authors:  Craig M McDonald; Erik K Henricson; Richard T Abresch; Tina Duong; Nanette C Joyce; Fengming Hu; Paula R Clemens; Eric P Hoffman; Avital Cnaan; Heather Gordish-Dressman
Journal:  Lancet       Date:  2017-11-22       Impact factor: 79.321

5.  Mutation spectrum of the dystrophin gene in 442 Duchenne/Becker muscular dystrophy cases from one Japanese referral center.

Authors:  Yasuhiro Takeshima; Mariko Yagi; Yo Okizuka; Hiroyuki Awano; Zhujun Zhang; Yumiko Yamauchi; Hisahide Nishio; Masafumi Matsuo
Journal:  J Hum Genet       Date:  2010-05-20       Impact factor: 3.172

Review 6.  Diagnosis and management of Duchenne muscular dystrophy, part 1: diagnosis, and neuromuscular, rehabilitation, endocrine, and gastrointestinal and nutritional management.

Authors:  David J Birnkrant; Katharine Bushby; Carla M Bann; Susan D Apkon; Angela Blackwell; David Brumbaugh; Laura E Case; Paula R Clemens; Stasia Hadjiyannakis; Shree Pandya; Natalie Street; Jean Tomezsko; Kathryn R Wagner; Leanne M Ward; David R Weber
Journal:  Lancet Neurol       Date:  2018-02-03       Impact factor: 44.182

7.  Age at onset of first signs or symptoms predicts age at loss of ambulation in Duchenne and Becker Muscular Dystrophy: Data from the MD STARnet.

Authors:  Emma Ciafaloni; Anil Kumar; Ke Liu; Shree Pandya; Christina Westfield; Deborah J Fox; Kristin M Caspers Conway; Christopher Cunniff; Katherine Mathews; Nancy West; Paul A Romitti; Michael P McDermott
Journal:  J Pediatr Rehabil Med       Date:  2016

8.  Longitudinal pulmonary function testing outcome measures in Duchenne muscular dystrophy: Long-term natural history with and without glucocorticoids.

Authors:  Craig M McDonald; Heather Gordish-Dressman; Erik K Henricson; Tina Duong; Nanette C Joyce; Sanjay Jhawar; Mika Leinonen; Fengming Hsu; Anne M Connolly; Avital Cnaan; Richard T Abresch
Journal:  Neuromuscul Disord       Date:  2018-08-29       Impact factor: 4.296

9.  The TREAT-NMD DMD Global Database: analysis of more than 7,000 Duchenne muscular dystrophy mutations.

Authors:  Catherine L Bladen; David Salgado; Soledad Monges; Maria E Foncuberta; Kyriaki Kekou; Konstantina Kosma; Hugh Dawkins; Leanne Lamont; Anna J Roy; Teodora Chamova; Velina Guergueltcheva; Sophelia Chan; Lawrence Korngut; Craig Campbell; Yi Dai; Jen Wang; Nina Barišić; Petr Brabec; Jaana Lahdetie; Maggie C Walter; Olivia Schreiber-Katz; Veronika Karcagi; Marta Garami; Venkatarman Viswanathan; Farhad Bayat; Filippo Buccella; En Kimura; Zaïda Koeks; Janneke C van den Bergen; Miriam Rodrigues; Richard Roxburgh; Anna Lusakowska; Anna Kostera-Pruszczyk; Janusz Zimowski; Rosário Santos; Elena Neagu; Svetlana Artemieva; Vedrana Milic Rasic; Dina Vojinovic; Manuel Posada; Clemens Bloetzer; Pierre-Yves Jeannet; Franziska Joncourt; Jordi Díaz-Manera; Eduard Gallardo; A Ayşe Karaduman; Haluk Topaloğlu; Rasha El Sherif; Angela Stringer; Andriy V Shatillo; Ann S Martin; Holly L Peay; Matthew I Bellgard; Jan Kirschner; Kevin M Flanigan; Volker Straub; Kate Bushby; Jan Verschuuren; Annemieke Aartsma-Rus; Christophe Béroud; Hanns Lochmüller
Journal:  Hum Mutat       Date:  2015-03-17       Impact factor: 4.878

10.  Interplay between DMD point mutations and splicing signals in Dystrophinopathy phenotypes.

Authors:  Jonàs Juan-Mateu; Lidia González-Quereda; Maria José Rodríguez; Edgard Verdura; Kira Lázaro; Cristina Jou; Andrés Nascimento; Cecilia Jiménez-Mallebrera; Jaume Colomer; Soledad Monges; Fabiana Lubieniecki; Maria Eugenia Foncuberta; Samuel Ignacio Pascual-Pascual; Jesús Molano; Montserrat Baiget; Pia Gallano
Journal:  PLoS One       Date:  2013-03-25       Impact factor: 3.240

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  15 in total

1.  Clinical and Genetic Characteristics in Young, Glucocorticoid-Naive Boys With Duchenne Muscular Dystrophy.

Authors:  Marianela Schiava; Rachel Amos; Henriette VanRuiten; Michael P McDermott; Williams B Martens; Stephanie Gregory; Anna Mayhew; Elaine McColl; Rabi Tawil; Tracey Willis; Kate Bushby; Robert C Griggs; Michela Guglieri
Journal:  Neurology       Date:  2021-12-02       Impact factor: 9.910

2.  Read-through approach for stop mutations in Duchenne muscular dystrophy. An update.

Authors:  Luisa Politano
Journal:  Acta Myol       Date:  2021-03-31

3.  Effect of Ataluren on dystrophin mutations.

Authors:  Joachim Berger; Mei Li; Silke Berger; Michelle Meilak; Jeanette Rientjes; Peter D Currie
Journal:  J Cell Mol Med       Date:  2020-04-28       Impact factor: 5.310

Review 4.  Nonsense Suppression Therapy: New Hypothesis for the Treatment of Inherited Bone Marrow Failure Syndromes.

Authors:  Valentino Bezzerri; Martina Api; Marisole Allegri; Benedetta Fabrizzi; Seth J Corey; Marco Cipolli
Journal:  Int J Mol Sci       Date:  2020-06-30       Impact factor: 5.923

Review 5.  Therapeutic Strategies for Duchenne Muscular Dystrophy: An Update.

Authors:  Chengmei Sun; Luoan Shen; Zheng Zhang; Xin Xie
Journal:  Genes (Basel)       Date:  2020-07-23       Impact factor: 4.096

Review 6.  New Therapeutics Options for Pediatric Neuromuscular Disorders.

Authors:  Marina Flotats-Bastardas; Andreas Hahn
Journal:  Front Pediatr       Date:  2020-11-23       Impact factor: 3.418

7.  Novel therapeutic approaches for the management of cystic fibrosis.

Authors:  Ryan Jaques; Arslan Shakeel; Cameron Hoyle
Journal:  Multidiscip Respir Med       Date:  2020-11-26

8.  Growth pattern trajectories in boys with Duchenne muscular dystrophy.

Authors:  Georgia Stimpson; Sarah Raquq; Mary Chesshyre; Mary Fewtrell; Deborah Ridout; Anna Sarkozy; Adnan Manzur; Vandana Ayyar Gupta; Ramona De Amicis; Francesco Muntoni; Giovanni Baranello
Journal:  Orphanet J Rare Dis       Date:  2022-01-24       Impact factor: 4.123

Review 9.  [Expert recommendation: treatment of nonambulatory patients with Duchenne muscular dystrophy].

Authors:  Guenther Bernert; Andreas Hahn; Cornelia Köhler; Sascha Meyer; Ulrike Schara; Kurt Schlachter; Regina Trollmann; Maggie C Walter
Journal:  Nervenarzt       Date:  2020-11-19       Impact factor: 1.214

10.  Can symptomatic nmDuchenne carriers benefit from treatment with ataluren? Results of 193-month follow-up.

Authors:  Amir Dori; Michela Guglieri; Marianna Scutifero; Luigia Passamano; Antonio Trabacca; Luisa Politano
Journal:  Acta Myol       Date:  2021-12-31
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