Literature DB >> 30944584

Real-life outcomes of teriflunomide treatment in patients with relapsing multiple sclerosis: TAURUS-MS observational study.

Boris A Kallmann1, Klaus Tiel-Wilck2, Jennifer S Kullmann3, Ulrich Engelmann4, Andrew Chan5.   

Abstract

BACKGROUND: Teriflunomide is a once-daily oral immunomodulatory agent approved for the treatment of relapsing-remitting multiple sclerosis (MS). We aimed to obtain data on the effectiveness, tolerability, and subject satisfaction with teriflunomide (Aubagio®) under clinical practice conditions in unselected MS patients.
METHODS: This work was a non-interventional, prospective, longitudinal, observational study in 307 sites in Germany.
RESULTS: A total of 1128 patients were eligible for the efficacy analysis [67.5% female; mean age (± standard deviation) 44.9 ± 9.7 years, range 20-73 years]. Time since first MS symptoms was 10.6 ± 8.2 years, and time since MS diagnosis was 8.9 ± 7.6 years. Expanded Disability Status Scale (EDSS) score at inclusion was 2.3 ± 1.5 (70.4% with score < 3.5). The mean observation period was 16.3 ± 9.1 months. A total of 75.2% had received previous disease-modifying therapies (DMTs) at any time. Of these patients, 504 (44.7%) received no DMT within 6 months of study entry, 593 patients (52.6%) had DMT discontinued prior to study entry [glatiramer acetate in 10.6%, subcutaneous interferon-beta 1a (IFNβ-1a) in 9.3%, intramuscular IFNβ-1a or IFNβ-1b in 6.6% each, azathioprine oral in 0.4%, other in 7.3%, last medication not known in 12.0%]. The mean annualized relapse rate decreased from 0.87 in the 24 months prior to study entry to 0.35 in the 24 months after study entry (n = 468; p ⩽ 0.001). EDSS and Fatigue Severity Scale remained stable. In patients who received previous MS treatments, Treatment Satisfaction Questionnaire (TSQM-9) values (maximum = 100), for the observation at 24 months improved by 8.1 points for effectiveness, 17.0 points for convenience, and 15.3 points for global satisfaction (p ⩽ 0.001 each, compared with study entry). In the safety cohort (n = 1139), the proportion of patients with adverse events (AEs) of any severity was 35.8%, and with serious events 13.0%. The most frequently reported AEs were diarrhea (n = 55), followed by MS relapse (n = 48), hair thinning (n = 38), and viral upper respiratory tract infection (n = 31).
CONCLUSIONS: Relapse rate was halved during the observation period in comparison with the same time period before study entry. Patient satisfaction with teriflunomide was high in this real-world observation of patients, the majority of whom switched from other DMTs. The safety and tolerability profile of teriflunomide was similar to that reported in previous clinical trials.

Entities:  

Keywords:  multiple sclerosis; observational; oral; patient-related outcomes; treatment

Year:  2019        PMID: 30944584      PMCID: PMC6437319          DOI: 10.1177/1756286419835077

Source DB:  PubMed          Journal:  Ther Adv Neurol Disord        ISSN: 1756-2856            Impact factor:   6.570


Background

Multiple sclerosis (MS) is an immune-mediated chronic inflammatory disease of the central nervous system, which is characterized by demyelination and axonal damage.[1] MS is the most common neurological disorder of young adults, often leading to permanent disability and premature retirement. The course of the disease is variable, and outcomes cannot be predicted for individual patients. The majority of patients start with relapsing–remitting MS (RRMS) with clearly distinguishable attacks occurring at irregular intervals.[2] As no curative therapy is available, treatment of MS aims at reducing the risk of relapses and disability progression.[1] In recent years, the landscape of MS treatment has changed, with currently more than 12 disease-modifying therapies (DMTs) approved for relapsing forms of the disease, and a single DMT approved for primary progressive disease.[3] This large treatment armamentarium helps to individualize medical therapy with careful balance of efficacy and safety, and treatment escalation as clinically appropriate.[4] Teriflunomide (Aubagio®) is a once-daily oral immunomodulatory agent with anti-inflammatory properties, which was approved for RRMS in the EU in 2013.[5] The agent selectively and reversibly inhibits the mitochondrial enzyme dihydro-orotate dehydrogenase (DHODH) which is required for de novo pyrimidine synthesis.[6,7] Hence, teriflunomide blocks the proliferation of rapidly dividing cells such as activated lymphocytes. Its efficacy was demonstrated in two placebo-controlled trials (TEMSO[8,9] and TOWER[10]) in patients with RRMS. Further studies include TENERE, a randomized, parallel-group, rater-blinded study comparing teriflunomide and interferon beta-1a subcutaneously (SC) in patients with RRMS,[11] a phase II study with extension up to 8.5 years,[12,13] and the phase III TOPIC study in patients with a first clinical episode suggestive of MS.[14] Teriflunomide is commonly used for mild/moderate MS disease as a first line or first-switch therapy in Germany.[15] Current data on the effectiveness, tolerability, and patient satisfaction of teriflunomide under routine clinical practice conditions in unselected patients are limited. Consequently, the team leading the non-interventional TAURUS-MS study aimed to collect such information in a large contemporary cohort of real-world patients in Germany.

Methods

Design

TAURUS-MS (Therapie mit Aubagio® unter Praxisbedingungen: Wirksamkeit, Lebensqualität und Verträglichkeit bei Patienten mit schubförmiger Multipler Sklerose) was a non-interventional, prospective, longitudinal study in Germany. The study was locally approved by the Ethic Committee at the Ruhr-University of Bochum, Faculty of Medicine, as well as registered in the Bundesinstitut für Arzneimittel und Medizinprodukte (BfArM) public database under number 2075. It was conducted between 6 January 2014 (first patient in) and 4 April 2017 (last patient out).

Sites

A total of 307 office-based and hospital-based neurologists in Germany documented eligible patients.

Subjects

Patients were eligible for enrolment if they met all inclusion criteria: age ⩾ 18 years, diagnosis of RRMS, written patient informed consent, capable of completing questionnaires, and with no existing contraindications. No explicit exclusion criteria were specified to avoid selection bias. According to the prescribing information, administering Aubagio® (teriflunomide) 14 mg once daily was recommended. Documentation began about 4 weeks after treatment initiation with teriflunomide, and follow-up visits were scheduled after 3 months and in 6-month intervals thereafter, until month 24. Documented parameters included demographics, information on MS [date of onset and diagnosis, type, number of relapses, disability, magnetic resonance imaging (MRI) results], previous DMT, fatigue as measured using the Fatigue Severity Scale (FSS), and adverse events (AEs). The Treatment Satisfaction Questionnaire (TSQM-9) served as an instrument for the (self-) assessment of patients’ satisfaction with their current medication.[16] The questionnaire comprises nine questions in three domains: effectiveness, convenience, and global satisfaction. Higher levels of satisfaction are expressed as higher TSQM scores (maximum 100 points on each scale).

Data collection and management

Data were collected on paper case-report forms (CRFs) and entered in duplicate in the data management program DMSys®, Version 5.1., Released 2005, SigmaSoft International Inc., Chicago. The data were validated according to rules previously defined in a data validation plan. specified by the clinical research organisation.

Statistical analysis

Analyses were performed in an exploratory manner using descriptive statistical methods. For continuous variables, the number of patients with nonmissing and missing data, mean, standard deviation, minimum, 25% quantile, median, 75% quantile, and maximum were calculated. For ordinal and categorical variables, frequencies were calculated. Incomplete data sets were included in the analysis. There was no imputation of missing values for any endpoint. No sensitivity analyses were done. All effectiveness analyses were conducted on the per-protocol set (PPS) comprising all treated patients who complied with the protocol. Clinical results were analyzed by visit. For the analysis of relapse rate, the Wilcoxon matched-pair signed-ranks test was used because the number of relapses showed a positively skewed distribution (see Table 1). For the TSQM-9 and FSS (mean value of four out of five items), respectively, paired t-tests were used. Changes from baseline were analyzed by repeated-measurement analysis for time trends.
Table 1.

Demographic data at baseline.

Characteristic n Value
Age, years, mean (SD)112844.9 (10.2)
Sex, %
Female76167.5
Male36732.5
Employment status, %
Regularly fulltime-employed (⩾ 30 h/week)46941.6
Regularly part-time-employed (⩾15–29 h/week)14012.4
Underemployed or not regularly employed (< 15 h/week)595.2
Not employed45140.0
No data regarding employment90.8
Marital status, %
Single/separated21419.0
Partnership20818.4
Married59052.3
Divorced807.1
Widowed141.2
No data221.95
MS history
Time since first symptom of MS, mean (SD), years[a]106510.6 (8.2)
Time since diagnosis of MS, mean (SD), years[a]10758.9 (7.6)
EDSS score[a]
 mean (SD)9472.3 (1.5)
 median2.00
 range0.0 – 7.0
 ⩽3.5 points, %79470.4
 >3.5 points, %15313.6
 no data, %18116.1
MS relapses over the past 24 months, %
Mean (SD)[b]11170.95 (1.1)
 045640.4
 140836.2
 217215.3
 3454.0
 ⩾4363.2
 No data110.1
Brain MRI findings, mean (SD)
MRI performed10780.1
Time of last brain MRI before baseline visit, quarters9683.0 (5.4)
Number of T2 lesions by MRI51410.3 (8.2)
Number of GD+ lesions by MRI6810.5 (1.3)
Symptoms, % 1128
Fatigue63756.5
Depression (MDD)28925.6
Cognitive deficits29426.1
Spasticity23520.8
Bladder dysfunction26123.1
Other35431.4

Values are means (±SD) or percentages.

EDSS, Expended Disability Status Scale; GD+, gadolinium enhanced; MDD, major depressive disorder: MRI, magnetic resonance imaging; MS, multiple sclerosis; SD, standard deviation.

in relation to baseline visit.

without “missing data”.

Demographic data at baseline. Values are means (±SD) or percentages. EDSS, Expended Disability Status Scale; GD+, gadolinium enhanced; MDD, major depressive disorder: MRI, magnetic resonance imaging; MS, multiple sclerosis; SD, standard deviation. in relation to baseline visit. without “missing data”. The Safety Analysis Set (SAS) contains all patients for whom a CRF was available, and additionally patients with documented AEs or serious AEs but without an available CRF. All AEs occurring during this observational study were coded using Medical Dictionary for Regulatory Activities (MedDRA(R)), Version 13.1., Released September 2010, MedDRA(R) trademark is owned by International Federation of Pharmaceutical Manufacturers and Associations (IFPMA) on behalf of International Conference on Harmonization (ICH) The incidence of AEs and adverse drug reactions (ADRs) by MedDRA system organ class (SOC) was calculated (number, frequency) for the safety population. Analyses were carried out with the statistical tool SPSS for Windows, Version 15.0, Released 2006, SPSS Inc., Chicago. As an exception, confidence intervals of categorical variables were calculated with the statistical software BIAS for Windows, Version 10.12, epsilon-Verlag GbR, Hochheim Darmstadt.

Results

Patient disposition

Of 1139 documented patients (100.0%, safety set), 1135 patients had available CRFs, and 1128 fulfilled the inclusion criteria and were eligible for analysis (99.4%, PPS).

Demographics and MS history

Detailed information on the patients at inclusion is provided in Table 1. At the baseline visit, 67.5% of patients were females and 32.5% were males. Mean age was 44.9 ± 10.2 years. The mean time since first MS symptom was 10.6 ± 8.2 years before baseline visit, and the time since diagnosis was 8.9 ± 7.6 years. Mean Expanded Disability Status Scale (EDSS) was 2.3 ± 1.5, with a wide range across patients (0.0 to 7.0). The majority had an EDSS ⩽ 3.5 (70.4%). The mean number of MS relapses was 0.95 ± 1.10 over the 24-month period prior to study entry. While 40.4% of patients had no relapses within the 24 months prior to study entry, 36.2% had one, 15.3% two, and 7.2% three or more relapses (no data: 1.0%). The most commonly reported MS-associated symptoms were fatigue (56.5%), depression (25.6%), cognitive deficits (26.1%), bladder dysfunction (23.1%) and spasticity (20.8%).

Treatment history

No previous MS treatment was documented in 24.8% of patients. In patients previously treated with other MS agents, the most commonly prescribed DMTs were glatiramer acetate (26.9%), SC interferon-beta 1a (IFNβ-1a; 23.8%), intramuscular IFNβ-1a (22.8%), and SC IFNβ-1b (19.7%). For the 848 patients who had received a prior therapy for mild-to-moderate disease, the decision to terminate the previous treatment was taken by the patient in 37.2%, by the physician in 24.5%, and by both in 33.1% (no data: 5.2%). The main reasons for terminating the previous DMT were adverse reactions (59.0%), insufficient efficacy (24.2%), a desire to switch to an oral DMT (16.2%), and a desire for treatment break (10.4%). An overview of the most recent DMTs before study entry is shown in Table 2.
Table 2.

Previous treatment prior to study entry.

Characteristic n %
No pretreatment 280 24.8
Any previous MS medication 848 75.2
 IFNβ-1a intramuscular25722.8
 IFNβ-1a subcutaneous26823.8
 IFNβ-1b subcutaneous22219.7
 Glatiramer acetate subcutaneous30326.9
 Azathioprine oral514.5
 Immunoglobulin intravenous131.2
 Other15424.8
Previous DMT discontinued ⩽ 6 months prior to study entry 59352.6
Thereof:
 IFNβ-1a intramuscular746.6
 IFNβ-1a subcutaneous1059.3
 IFNβ-1b subcutaneous746.6
 Glatiramer acetate subcutaneous11910.6
 Azathioprine oral40.4
 Other827.3
 Last MS medication not known13512.0
No treatment ⩽ 6 months prior to start of teriflunomide50444.7
No data regarding previous treatment312.8
Main reason for stopping previous treatment
Lack of trust in efficacy7514.9
Fear of adverse reactions14328.4
Wish for child122.4
Pregnancy102.0
Assumption of patient’s noncompliance183.6
Fear of needles7414.7
Other18336.3

Values are means or percentages.

DMT, disease-modifying therapy; IFNβ, interferon beta; MS, multiple sclerosis.

Previous treatment prior to study entry. Values are means or percentages. DMT, disease-modifying therapy; IFNβ, interferon beta; MS, multiple sclerosis. Notably, 44.7% of the patients (n = 504) received no DMT within 6 months (⩽6 months) of study entry. For 52.6% of the patients (n = 593), the previous DMT was discontinued prior to study entry. These patients were most commonly treated with glatiramer acetate (10.6%), SC IFNβ-1a (9.3%), intramuscular IFNβ-1a (6.6%), or IFNβ-1b (6.6%). The most frequent reasons for discontinuations were ‘fear of adverse reactions’ (28.4%), ‘lack of trust in efficacy’ (14.9%), and ‘fear of needles’ (14.7%).

Treatment with teriflunomide

The mean observation period was 16.3 ± 9.1 months (494.6 days ± 277.2 days). Patient disposition on teriflunomide and reasons for stopping are shown in Table 3.
Table 3.

Teriflunomide treatment duration and reasons for stopping.

Characteristic n Value
Exposure, %
Duration of observation, days, mean (SD)1072495 (277)
Follow-up period, mean (days ± SD)
 approximately 3 months (93.9 ± 26.8)98987.7
 approximately 6 months (195.7 ± 49.5)88278.2
 approximately 12 months (365.1 ± 65.7)75867.2
 approximately 18 months (543.3 ± 67.4)63055.9
 approximately 24 months (725.4 ± 76.9)51245.4
Main reason for discontinuation (total n = 242; multiple responses possible), %
Insufficient efficacy5522.7
Adverse events9740.1
Desire to have children52.1
Pregnancy10.4
Wish for treatment break229.1
Assumed lack of compliance229.1
Other5623.1

Values are means (±standard deviation) or percentages.

SD, standard deviation.

Teriflunomide treatment duration and reasons for stopping. Values are means (±standard deviation) or percentages. SD, standard deviation. At the 12-month visit, continuous treatment was confirmed in 67.2% (n = 758) patients, the status was unknown (lost to follow up) in 17.8% (n = 201), and 15.0% (n = 169) had stopped treatment. After 24 months, 45.4% (n = 512) patients were confirmed to be on continuous treatment, 33.2% (n = 374) patients were lost to follow up, and 21.5% (n = 242) had discontinued treatment. The most common reason for discontinuation of treatment were AEs (40.1%, n = 97). Of those, 29.9% (n = 29) patients discontinued due to diarrhea, 16.5% (n = 16) due to hair thinning, and 10.3% (n = 10) due to nausea. Further reasons for discontinuation were insufficient efficacy (22.7%, n = 55), wish for treatment break (9.1%, n = 22), and assumed lack of compliance (9.1%, n = 22). Temporary interruption of treatment at some point during the observation period was reported in 7.6% (no interruptions: 81.3%; no data: 11.1%).

Effectiveness

MS relapses

After 12 months’ treatment with teriflunomide, the mean annualized relapse rate (ARR) was 0.24 ± 0.53 [95% confidence interval (CI): 0.20–0.28], whereas the 12-month ARR before study entry was 0.59 ± 0.76 (95% CI: 0.54–0.65). After 24 months’ treatment with teriflunomide, the mean ARR was 0.35 ± 0.68 (95% CI: 0.29–0.41), while the ARR for the corresponding period before study entry was 0.87 ± 1.10 (data from 468 patients, 95% CI: 0.77–0.97, p ⩽ 0.001; Figure 1).
Figure 1.

Mean annualized relapse rate (ARR).

Mean annualized relapse rate (ARR).

EDSS

Mean EDSS at study entry was 2.32 and 2.37 at month 12 (in n = 555 patients with a follow-up value at this time point), or 2.28 at study entry and 2.40 at month 24 (n = 346).

Patient-reported outcomes

TSQM-9

Following treatment with teriflunomide, all three domains of the TSQM-9 improved. For the effectiveness scale, the mean values at study entry (n = 829), 3 months (n = 879), 6 months (n = 777), 12 months (n = 664), 18 months (n = 542), 24 months (n = 444), and at the last follow-up visit (irrespective of treatment duration, n = 942) were 60.8, 67.7, 67.9, 69.9, 70.4, 71.0 and 67.5, respectively. Comparing the study entry data with that of the last visit (n = 710 patients), the mean effectiveness score increased by 5.8 ± 29.9 points. In patients who discontinued a previous DMT within 6 months of study entry, the mean change from study entry to 12 months for the effectiveness scale was 9.2 ± 28.0 (n = 318; p < 0.001), and 8.1 ± 27.7 between study entry and 24 months (n = 229; p ⩽ 0.001; Figure 2).
Figure 2.

TSQM-9: Changes in effectiveness, convenience, and global satisfaction scores from study entry to 24 months for patients receiving teriflunomide who discontinued previous DMT within 6 months of study entry.

***p < 0.001.

DMT, disease-modifying therapy; TSQM-9, Treatment Satisfaction Questionnaire.

TSQM-9: Changes in effectiveness, convenience, and global satisfaction scores from study entry to 24 months for patients receiving teriflunomide who discontinued previous DMT within 6 months of study entry. ***p < 0.001. DMT, disease-modifying therapy; TSQM-9, Treatment Satisfaction Questionnaire. For the convenience scale, the mean values at study entry (n = 854), 3 months (n = 896), 6 months (n = 793), 12 months (n = 667), 18 months (n = 546), 24 months (n = 446), and at the last follow-up visit (n = 950) were 74.8, 89.8, 90.5, 90.8, 91.2, 90.9, and 90.2, respectively. Comparing the study entry data with that of the last visit (n = 734 patients), the mean convenience score increased by 15.60 ± 27.41 points. In patients who discontinued a previous DMT within 6 months of study entry, the mean change from study entry to 12 months for the convenience scale was 16.8 ± 26.4 (n = 325; p ⩽0.001), and 17.0 ± 26.6 between study entry and 24 months (n = 231; p < 0.001; Figure 2). For the global satisfaction scale, the mean values at study entry (n = 854), 3 months (n = 894), 6 months (n = 791), 12 months (n = 663), 18 months (n = 544), 24 months (n = 444), and at the last follow-up visit (n = 947) were 62.5, 72.4, 73.3, 74.8, 76.9, 77.5, and 72.3, respectively. Comparing the study entry data with that of the last visit (n = 731 patients), the mean global satisfaction score increased by 9.82 ± 29.1 points. In patients who discontinued a previous DMT within 6 months of study entry, the mean change from study entry to 12 months for the global satisfaction scale was 12.6 ± 28.0 (n = 324; p ⩽ 0.001), and 15.3 ± 27.4 between study entry and 24 months (n = 232; p < 0.001; Figure 2).

Fatigue Severity Scale (FSS)

Only slight changes on the FSS were observed during treatment with teriflunomide. The mean values at study entry (n = 965), 6 months (n = 790), 12 months (n = 674), 18 months (n = 552), 24 months (n = 448), and at the last follow-up visit (n = 836) were 4.48, 4.27, 4.23, 4.10, 4.10, and 4.28, respectively. Comparing the study entry data with that of the last visit [n = 724 patients, not significant (n.s.)], the mean FSS score changed by −0.11 ± 1.60 points, between study entry and 12 months by −0.13 ± 1.44 points (n = 589, p < 0.05), and between study entry and 24 months by −0.16 ± 1.69 points (n = 397, n.s.).

Patient satisfaction from the perspective of the treating physician

The question on patient satisfaction could be rated from 1 ‘very dissatisfied’ to 5 ‘very satisfied’ at each visit. The mean scores increased during the treatment with teriflunomide. After 12 and 24 months of teriflunomide treatment, the scores increased by 1.35 ± 1.36 points (n = 355) and 1.42 ± 1.30 points (n = 248), respectively, compared with study entry.

Safety

Adverse events

In the safety analysis set comprising 1139 patients, 408 patients (35.8%) reported a total of 893 AEs. The most frequently reported AEs related to the MedDRA primary SOC were ‘infections and infestations’ (13.3% of patients), ‘nervous-system disorders’ (9.7%), ‘gastrointestinal disorders’ (8.1%), ‘general disorders and administration-site conditions’ (6.8%), and ‘skin and subcutaneous-tissue disorders’ (5.4%). The most frequently reported nervous-system disorders were MS relapses or other disease-related symptoms. The detailed breakdown of AEs by seriousness and SOC is shown in Table 4.
Table 4.

Nonserious versus serious adverse events by MedDRA primary system organ class.

Nonserious
Serious
n % n %
Blood and lymphatic-system disorders91.341.8
Cardiac disorders10.283.7
Ear and labyrinth disorders50.700.0
Endocrine disorders10.210.5
Eye disorders91.300.0
Gastrointestinal disorders10014.8188.3
General disorders and administration-site conditions8312.352.3
Hepatobiliary disorders10.231.4
Immune-system disorders20.300.0
Infections and infestations15122.45927.1
Injury, poisoning and procedural complications192.883.7
Investigations497.331.4
Metabolism and nutrition disorders60. 910.5
Musculoskeletal and connective tissue disorders284.2104.6
Neoplasms benign, malignant, and unspecified (including cysts and polyps)10.241.8
Nervous-system disorders7110.56328.9
Psychiatric disorders172.552.3
Renal and urinary disorders91.341.8
Reproductive system and breast disorders40.620.9
Respiratory, thoracic, and mediastinal disorders172.552.3
Skin and subcutaneous-tissue disorders7310.820.9
Social circumstances30.400.0
Surgical and medical procedures00.062.8
Vascular disorders162.473.2
Total 675 100.0 218 100.0

MedDRA = Medical Dictionary for Regulatory Activities.

Nonserious versus serious adverse events by MedDRA primary system organ class. MedDRA = Medical Dictionary for Regulatory Activities. The incidence rates of AEs by MedDRA preferred term, sorted according to frequencies, is presented in Table 5. The most frequently reported AEs were diarrhea (4.8%, n = 55), followed by MS relapse (4.2%, n = 48), hair thinning (3.3%, n = 38), and viral upper respiratory tract infection (2.7%, n = 31).
Table 5.

Adverse events by preferred term.

n %
Total number of patients 1139100
Total patients with AEs 40835.8
 Of these, patients with serious AEs14813.0
AEs (multiple entries possible)
Diarrhea554.8
MS relapse484.2
Hair thinning[*]383.3
Viral upper respiratory tract infection312.7
Influenza221.9
Drug ineffective191.5
Urinary tract infection181.6
Bronchitis171.5
Hypertension161.4
Influenza-like illness161.4
Nausea151.3

Sorted by frequencies. Adverse events with incidence ⩾ 1%.

Medical Dictionary for Regulatory Activities (MedDRA) preferred term is alopecia.

AEs, adverse events.

Adverse events by preferred term. Sorted by frequencies. Adverse events with incidence ⩾ 1%. Medical Dictionary for Regulatory Activities (MedDRA) preferred term is alopecia. AEs, adverse events. Mean alanine transaminase (ALT) values increased from 25.3 ± 16.3 U/l (n = 989) at first report to 34.7 ± 88.7 U/l at 3 months (n = 899), and were 27.8 ± 22.0 U/l at 12 months (n = 661) and 24.9 ± 15.0 U/l at 24 months (n = 447). Six patients had elevated hepatic enzymes which led to therapy discontinuation in four patients. Additionally, liver disorders occurred in three patients (hepatic lesion, hepatocellular injury and liver tenderness, with the latter case being associated with teriflunomide treatment according to the sponsor’s safety assessment). In 148 patients (13.0% of patients), 218 serious AEs occurred. One patient died due to an opportunistic infection (bronchopulmonary aspergillosis). The reporting investigator assessed the event as related to teriflunomide. However, the patient’s age (61 years) and concomitant medication (phenprocoumon, tiotropium bromide, metoprolol tartrate, torasemide, omeprazole, metamizole sodium, fluticasone propionate/salmeterol xinafoate and prednisolone) could be possible confounding factors. Five neoplasms occurred during the study: breast cancer (n = 2), cervix carcinoma (n = 1), rectal neoplasm (n = 1), and non-Hodgkin’s lymphoma (n = 1). The two reported pregnancies led to one induced abortion in one case (for personal reasons, it was unknown whether anomalies were detected with prenatal diagnostics) and delivery of a healthy baby in the second case.

Discussion

The TAURUS-MS study was a prospective, non-interventional study to document the treatment with teriflunomide (Aubagio®) in patients with RRMS over a 24-month observation period. The study is the first to report experience with teriflunomide under real-life-practice conditions, and provides data on treatment satisfaction and fatigue in a real-world MS population, in which about 25% of the MS patients were treatment naïve. Compared with the placebo-controlled registration studies that also included mostly RRMS patients (91.5% in TEMSO and 97.5% in TOWER), patients in TAURUS-MS differed substantially. They were older (44.9 years in TAURUS-MS versus 37.9 years in both TEMSO and TOWER), had a longer disease duration (10.6 years versus 8.7 and 8.0 years), a lower mean EDSS score (median 2.0 versus 2.5 in both TEMSO and TOWER), a lower proportion of patients with EDSS > 3.5 (13.6% versus 22.8% and 25.5%), and a lower mean ARR (0.95 versus 1.4 in both TEMSO and TOWER). Also, the percentage of patients with previous DMT use was higher in TAURUS-MS (75.2%) than in TEMSO and TOWER (73% and 67.2% in the 2 years prior to study entry). In terms of effectiveness, in the teriflunomide 14 mg cohorts of the registration studies TEMSO and TOWER, an ARR of 0.37 and 0.32, respectively, was reported. In TAURUS-MS, the mean ARR of 0.55 was numerically higher, but compared with before study entry, the number of MS relapses during teriflunomide treatment decreased by more than half (0.59 relapses in the 12 months prior to study entry versus 0.24 in the 12 months following study entry). In line with this finding, in TAURUS-MS, disability did not progress as shown by a stable EDSS (+0.1 points at 24 months). Also, fatigue remained unchanged as measured using the FSS (−0.13 between study entry and the 12-month visit) which provides supporting evidence for the long-lasting effects of teriflunomide therapy in terms of MS disease stabilization. The importance of the patient perspective on treatment in various indications including MS has been highlighted in recent years.[17-19] The TSQM, which is not limited to specific medications, has been used in many MS studies, including the recent THEPA-MS cross-sectional study in Germany with over 3000 patients on injectable DMTs.[20] For SC IFNβ-1a or -1b therapy, for example, values across domains ranged between 68 and 74 points. For patients who had been on a previous medication and switched to teriflunomide in TAURUS-MS, effectiveness or global satisfaction levels were also in this range, while the convenience score for teriflunomide was higher (up to 91 points). This is in line with recent research showing that oral medications are perceived to be more convenient than the DMTs administered by injection or infusion.[21,11] Results were confirmed by the analysis of the physicians’ assessment of patient satisfaction, which also showed improvement. According to the results, more than 90% of the patients perceived the administration of teriflunomide as easy, and could easily integrate it in their daily routines, especially in comparison with the previous DMT. Despite these results, 21.5% of patients discontinued teriflunomide therapy prematurely, and for 33.2%, it was unknown whether the treatment was continued or not (lost to follow up). The main reasons for premature discontinuation of teriflunomide appear to be AEs (40.1%) and insufficient efficacy (22.7%). High discontinuation rates are a typical finding in clinical studies, as well as in observational research in MS. In a meta-analysis by Giovannoni and colleagues on 50 randomized studies and 19 observational studies in MS, mean discontinuation rates of 17–36% for such therapies were noted.[22] One of the underlying reasons could be, according to a recent systematic review, that patients do not satisfactorily understand the benefits and risks of DMTs.[23] Further, there is the possibility that patients decide to stop participation in the study, but continue the drug. Teriflunomide was generally well tolerated. In total, AEs occurred in 35.8% of patients, with 97 patients (8.6%) discontinuing treatment due to AEs. In the safety database of teriflunomide with nearly 4400 cumulative patient-years, the ‘very frequent’ treatment-emergent adverse reactions (defined as occurring in ⩾10%) were headache, diarrhea/nausea, elevated ALT, and hair thinning. In TAURUS-MS, no single AE was reported more frequently than 5%, with the leading events being diarrhea/nausea (4.8%/1.3%), MS relapses (4.2%), and hair thinning (3.3%). The reported AEs were in line with the registration studies, and no new safety signals were identified. The observed initial slight increase of the mean ALT level in patients normalized during treatment. Elevated liver transaminases led to discontinuation in only four cases. When interpreting the results of this study, methodological considerations need to be taken into account. The study used an observational design, which may lead to unquantifiable bias in the selection of MS patients (e.g. under-representation of critically ill individuals).[24] Furthermore, neurologists willing to participate in the observational study are likely to represent a selection of physicians with a particular interest and knowledge in the field of MS management. It is known that adherent patients are more likely to provide their informed consent for study participation.[25] The lost-to-follow-up rate over time was substantial, as in other observational MS studies;[26] yet at 1 year, within the 20% range is usually regarded as acceptable within the confines of evidence-based medicine.[27] Among the strengths of the study is its large number of patients, with complete coverage of all regions in Germany, and strong focus on the ambulatory setting rather than on university or specialist centers.

Conclusion

The results from this non-interventional study demonstrate the sustained effectiveness of teriflunomide in the treatment of patients with RRMS over a 24-month period. The number of relapses decreased after treatment initiation, and patient satisfaction improved in the different areas covered by the TSQM-9. The benefit–risk profile of teriflunomide remains favorable, and is consistent with that reported for other studies of teriflunomide.
  24 in total

1.  Bias.

Authors:  Miguel Delgado-Rodríguez; Javier Llorca
Journal:  J Epidemiol Community Health       Date:  2004-08       Impact factor: 3.710

Review 2.  Systematic review of disease-modifying therapies to assess unmet needs in multiple sclerosis: tolerability and adherence.

Authors:  G Giovannoni; E Southam; E Waubant
Journal:  Mult Scler       Date:  2012-01-16       Impact factor: 6.312

3.  A Phase II study of the safety and efficacy of teriflunomide in multiple sclerosis with relapses.

Authors:  P W O'Connor; D Li; M S Freedman; A Bar-Or; G P A Rice; C Confavreux; D W Paty; J A Stewart; R Scheyer
Journal:  Neurology       Date:  2006-03-28       Impact factor: 9.910

4.  Participation in a clinical trial enhances adherence and persistence to treatment: a retrospective cohort study.

Authors:  Hein A W van Onzenoort; Frederique E Menger; Cees Neef; Willem J Verberk; Abraham A Kroon; Peter W de Leeuw; Paul-Hugo M van der Kuy
Journal:  Hypertension       Date:  2011-08-08       Impact factor: 10.190

5.  Randomized trial of oral teriflunomide for relapsing multiple sclerosis.

Authors:  Paul O'Connor; Jerry S Wolinsky; Christian Confavreux; Giancarlo Comi; Ludwig Kappos; Tomas P Olsson; Hadj Benzerdjeb; Philippe Truffinet; Lin Wang; Aaron Miller; Mark S Freedman
Journal:  N Engl J Med       Date:  2011-10-06       Impact factor: 91.245

Review 6.  Primary progressive multiple sclerosis: part of the MS disease spectrum or separate disease entity?

Authors:  Jack Antel; Samson Antel; Zografos Caramanos; Douglas L Arnold; Tanja Kuhlmann
Journal:  Acta Neuropathol       Date:  2012-02-11       Impact factor: 17.088

7.  Recommendations on evidence needed to support measurement equivalence between electronic and paper-based patient-reported outcome (PRO) measures: ISPOR ePRO Good Research Practices Task Force report.

Authors:  Stephen Joel Coons; Chad J Gwaltney; Ron D Hays; J Jason Lundy; Jeff A Sloan; Dennis A Revicki; William R Lenderking; David Cella; Ethan Basch
Journal:  Value Health       Date:  2008-11-11       Impact factor: 5.725

8.  Long-term follow-up of a phase 2 study of oral teriflunomide in relapsing multiple sclerosis: safety and efficacy results up to 8.5 years.

Authors:  Christian Confavreux; David K Li; Mark S Freedman; Philippe Truffinet; Hadj Benzerdjeb; Dazhe Wang; Amit Bar-Or; Anthony L Traboulsee; Lucy E Reiman; Paul W O'Connor
Journal:  Mult Scler       Date:  2012-02-03       Impact factor: 6.312

9.  Guidance for industry: patient-reported outcome measures: use in medical product development to support labeling claims: draft guidance.

Authors: 
Journal:  Health Qual Life Outcomes       Date:  2006-10-11       Impact factor: 3.186

10.  Validation of an abbreviated Treatment Satisfaction Questionnaire for Medication (TSQM-9) among patients on antihypertensive medications.

Authors:  Murtuza Bharmal; Krista Payne; Mark J Atkinson; Marie-Pierre Desrosiers; Donald E Morisky; Eric Gemmen
Journal:  Health Qual Life Outcomes       Date:  2009-04-27       Impact factor: 3.186

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  10 in total

1.  Treatment satisfaction in patients with relapsing-remitting multiple sclerosis initiated on teriflunomide in routine clinical practice: Australian observational data.

Authors:  Todd A Hardy; John Parratt; Heidi Beadnall; Stefan Blum; Richard Macdonell; Roy G Beran; Neil Shuey; Andrew Lee; William Carroll; Cameron Shaw; Richard Worrell; Jana Moody; Mamdouh Sedhom; Michael Barnett; Steve Vucic
Journal:  BMJ Neurol Open       Date:  2022-07-04

2.  Real-World Evidence for Favourable Quality-of-Life Outcomes in Hungarian Patients with Relapsing-Remitting Multiple Sclerosis Treated for Two Years with Oral Teriflunomide: Results of the Teri-REAL Study.

Authors:  Krisztina Bencsik; Enikő Dobos; Zita Jobbágy; Adrienne Jóri Birkás; Krisztina Kovács; Mária Sátori; Gyula Lencsés; Gabor Bartok; Erika Losonczi; László Vécsei
Journal:  Pharmaceuticals (Basel)       Date:  2022-05-13

3.  Real-world outcomes for a complete nationwide cohort of more than 3200 teriflunomide-treated multiple sclerosis patients in The Danish Multiple Sclerosis Registry.

Authors:  Viktoria Papp; Mathias Due Buron; Volkert Siersma; Peter Vestergaard Rasmussen; Zsolt Illes; Matthias Kant; Claudia Hilt; Zsolt Mezei; Homayoun Roshanisefat; Tobias Sejbæk; Arkadiusz Weglewski; Janneke van Wingerden; Svend Sparre Geertsen; Stephan Bramow; Finn Sellebjerg; Melinda Magyari
Journal:  PLoS One       Date:  2021-05-18       Impact factor: 3.240

4.  Efficacy and Safety of Teriflunomide in Multiple Sclerosis across Age Groups: Analysis from Pooled Pivotal and Real-world Studies.

Authors:  Jiwon Oh; Sandra Vukusic; Klaus Tiel-Wilck; Jihad Said Inshasi; David Rog; Darren P Baker; Yelena Pyatkevich; Elizabeth M Poole; Patrick Vermersch
Journal:  J Cent Nerv Syst Dis       Date:  2021-07-29

5.  Favorable benefit-risk ratio with teriflunomide treatment in relapsing-remitting multiple sclerosis: Results of the 2-year, multicenter, prospective, noninterventional TAURUS MS study in Austria.

Authors:  Michael Guger; Michael Matthias Ackerl; Martin Heine; Christiane Hofinger-Renner; Heinrich Karl Spiss; Andrea Taut; Karin Unger; Fritz Leutmezer
Journal:  eNeurologicalSci       Date:  2022-03-07

6.  Real-world outcomes of teriflunomide in relapsing-remitting multiple sclerosis: a prospective cohort study.

Authors:  Yao Zhang; Hexiang Yin; Dingding Zhang; Yan Xu; Bin Peng; Liying Cui
Journal:  J Neurol       Date:  2022-04-11       Impact factor: 6.682

7.  Real-World Assessment of Quality of Life in Patients with Relapsing Remitting Multiple Sclerosis Treated with Teriflunomide for Two Years: Patient-Reported Outcomes from the AURELIO Study in Greece.

Authors:  Efthymios Dardiotis; Georgia Perpati; Mariann Borsos; Ioannis Nikolaidis; Dimitrios Tzanetakos; Georgia Deretzi; Evangelos Koutlas; Constantinos Kilidireas; Dimos Dimitrios Mitsikostas; Georgios Hadjigeorgiou; Nikolaos Grigoriadis
Journal:  Neurol Ther       Date:  2022-07-13

8.  Spatial and temporal distribution of the prevalence of unemployment and early retirement in people with multiple sclerosis: A systematic review with meta-analysis.

Authors:  Bruno Kusznir Vitturi; Alborz Rahmani; Guglielmo Dini; Alfredo Montecucco; Nicoletta Debarbieri; Paolo Bandiera; Mario Alberto Battaglia; Tommaso Manacorda; Benedetta Persechino; Giuliana Buresti; Michela Ponzio; Matilde Inglese; Paolo Durando
Journal:  PLoS One       Date:  2022-07-28       Impact factor: 3.752

9.  Teriflunomide in relapsing-remitting multiple sclerosis: outcomes by age and pre-treatment status.

Authors:  Boris A Kallmann; Stefan Ries; Jennifer S Kullmann; Laura M Quint; Ulrich Engelmann; Andrew Chan
Journal:  Ther Adv Neurol Disord       Date:  2021-05-18       Impact factor: 6.570

Review 10.  The Disease-Modifying Therapies of Relapsing-Remitting Multiple Sclerosis and Liver Injury: A Narrative Review.

Authors:  Marco Biolato; Assunta Bianco; Matteo Lucchini; Antonio Gasbarrini; Massimiliano Mirabella; Antonio Grieco
Journal:  CNS Drugs       Date:  2021-07-28       Impact factor: 5.749

  10 in total

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