Literature DB >> 30198224

Changes in the Multiple Sclerosis Treatment Paradigm. What Do We Do Now and What Were We Doing Before?

Ricardo Alonso1, María Bárbara Eizaguirre2, Lucía Zavala2, Cecilia Pita2, Berenice Silva2, Orlando Garcea2.   

Abstract

BACKGROUND AND
PURPOSE: The number of disease-modifying drugs (DMDs) available for treating relapsing-remitting multiple sclerosis is increasing. Numerous drugs have been approved since 2010 in South America, which has increased the complexity of the treatment algorithm. The aim of this study was to determine the changes in multiple sclerosis treatments relative to the underlying causes and the availability of new DMDs in Argentina.
METHODS: A descriptive retrospective study was carried out on a group of 59 patients diagnosed with RRMS who use more than one DMD.
RESULTS: The first treatment switch occurred before 2010 in 27% of the patients and after 2010 in the other 73%. Efficacy was the main reason for switching during both periods. A second treatment switch was required in 25% of the patients, with this occurring after 2010 in 86.6% of them. Interferon was the most-used drug before 2010 and fingolimod was the most-used drug thereafter.
CONCLUSIONS: We have identified that the tendency for treatment changes has increased following the arrival of new drugs. Efficacy has been the main cause of these changes.
Copyright © 2018 Korean Neurological Association.

Entities:  

Keywords:  drug therapy; efficacy; multiple sclerosis

Year:  2018        PMID: 30198224      PMCID: PMC6172498          DOI: 10.3988/jcn.2018.14.4.487

Source DB:  PubMed          Journal:  J Clin Neurol        ISSN: 1738-6586            Impact factor:   3.077


INTRODUCTION

Multiple sclerosis (MS) is a chronic demyelinating disease of the central nervous system. It is considered to be a T-cell-mediated autoimmune disorder that generates an inflammatory process in a cascade that compromises the oligodendrocytes and microglia, causing destruction of the myelin sheath and axonal injury. MS is characterized by demyelination, gliosis, axonal injury, and neuronal loss. Neurodegeneration that affects both white matter and gray matter is observed from the onset of the disease.123 This complex physiopathogeny, where inflammatory and degenerative processes are combined in different degrees of predominance, results in a variable and unpredictable evolutionary course. In most patients, MS initially presents episodes of reversible neurological deficit, which with the passing of time can lead to progressive and nonreversible neurological impairment.4 Patients can show increasing motor disability during the course of the disease, with half of cases showing severe mobility compromise at 15 years from disease onset that strongly affects their quality of life.5 Corticosteroids were used in the 1960s to diminish the severity of MS relapses, but they failed to reduce the number of annual relapses or the progression rate of the disease. Different immunosuppressant drugs were studied in the 1970s and 1980s, such as cyclophosphamide, cyclosporin, methotrexate, and azathioprine, and trials were carried out with glatiramer acetate.67 The first study of interferon beta 1b (IFNβ-1b) was reported on in 1993,8 and this was the first drug that was effective in reducing disability and the number of relapses. IFNβ-1b became available for clinical use in South America in 1996, and this changed the paradigm of MS treatment in our region. The number of disease-modifying drugs (DMDs) available for treating relapsing-remitting multiple sclerosis (RRMS) has doubled worldwide in recent years. Numerous drugs for treating RRMS have been approved since 2010 in South America, and they vary in terms of administration method, dosing, action mechanism, efficacy, safety, and tolerability (Table 1). This increase in the available therapeutic options has made treatment algorithms more complex.
Table 1

Disease-modifying drugs available in argentina during the two analyzed time periods

PeriodDrugAdministration methodFrequency of use
Before 2010IFNβ-1bSCDay by half
IFNβ-1a-IMIMOnce per week
IFNβ-1a-SCSCThree times per week
GASCDaily
CyclophosphamideIntravenousFrom monthly to six monthly
MitoxantroneIntravenousEvery three months
After 2010FingolimodOralDaily
NatalizumabIntravenousMonthly
AlemtuzumabIntravenousAnnual
TeriflunomideOralDaily
Dimethyl fumarateOralTwice daily

GA: glatiramer acetate, IFN: interferon, IM: intramuscular, SC: subcutaneous.

The aim of this study was to determine the changes in MS treatments relative to the underlying causes and the availability of new DMDs in Argentina.

METHODS

A descriptive retrospective study was carried out on a group of patients who had received treatment in the Neurology Department of Dr. J. M. Ramos Mejía Hospital, Buenos Aires, Argentina, between 1994 and 2016. The inclusion criteria were a diagnosis of RRMS according to the 2010 McDonald criteria,9 use of more than one DMD, and having attended a clinical consultation within the past 2 years. This study was approved by the J. M. Ramos Mejia Hospital Bioethical Committee (approval date: November 1, 2017). The following patient data were registered: sex, age, DMDs used at the beginning of the disease, changes in treatment, and reasons for these changes (drug tolerance problems, lack of adherence, or therapeutic failures such as loss of efficacy). Therapeutic failure was defined according to the modified Rio score (MRS).10 The MRS is a rating system consisting of a combination of clinical and magnetic resonance imaging (MRI) data that is used to predict those patients who may show a suboptimal response to treatment and be at a greater risk of disease progression or relapse. Patients with an MRS of 1 or more were considered as therapeutic failure. We divided the presents into two groups according to the MRS: those with an MRS of 0 or 1 were considered low risk, and those with an MRS of 2 or 3 were considered high risk. The analysis was performed while considering when approval was granted for new therapies in Argentina, and hence two time periods were selected: before and after 2010.

Statistical analysis

Data were analyzed using the SPSS version 21.0 statistical program (IBM Corp., Armonk, NY, USA). The following statistical descriptors were used: frequency, percentage, range, and mean±standard-deviation values. The paired-samples t-test was used to detect statistically significant differences, which were considered to be present when p<0.05.

RESULTS

The inclusion criteria were satisfied by 59 of 260 analyzed patients. The group comprised 70% women, and the mean age at diagnosis was 27 years (range=9–51 years). During both time periods (i.e., before and after 2010), the most frequent treatment at the beginning of the disease was subcutaneous IFNβ-1a (Table 2).
Table 2

Initial DMD according to time period

PeriodDMDn (%)
Before 2010GA4 (10.5)
IFNβ-1a-IM10 (26.3)
IFNβ-1a-SC15 (39.5)
IFNβ-1b9 (23.7)
After 2010GA5 (23.8)
Fingolimod2 (9.5)
IFNβ-1a-IM2 (9.5)
IFNβ-1a-SC11 (52.4)
IFNβ-1b1 (4.8)

DMD: disease-modifying drug, GA: glatiramer acetate, IFN: interferon, IM: intramuscular, SC: subcutaneous.

The first treatment switch occurred before 2010 in 27% of the 59 patients, with glatiramer acetate being the most widely selected drug. In the remaining 73% of patients who first switched treatment after 2010, fingolimod was the first choice followed by natalizumab (Table 3).
Table 3

DMDs used in the first and second treatment changes according to time period

PeriodFirst treatment change (n=59)Second treatment change (n=13)
DMDn (%)n (%)
Before 2010GA8 (50)-
IFNβ-1a-IM2 (12.6)1 (50)
IFNβ-1a-SC6 (37.5)1 (50)
After 2010GA9 (20.9)2 (53.9)
Fingolimod12 (27.8)7 (15.4)
IFNβ-1a-IM4 (9.3)-
IFNβ-1a-SC2 (4.7)-
Natalizumab8 (18.6)1 (7.7)
Teriflunomide6 (14)-
Alemtuzumab-1 (7.7)
Dimethyl fumarate2 (4.7)-

DMD: disease-modifying drug, GA: glatiramer acetate, IFN: interferon, IM: intramuscular, SC: subcutaneous.

The main cause for switching treatment in both time periods was loss of efficacy (43% before and 62% after 2010), followed by tolerance problems (31% and 28%, respectively) and lack of adherence (23% and 9%). When drugs were analyzed in terms of the reasons for the first treatment switch, if the cause of the change was therapeutic failure, the drugs that were selected instead were IFNβ (5 patients) before 2010 and fingolimod (10 patients) and natalizumab (8 patients) after 2010. When the reasons motivating the switch of treatment were tolerance problems and lack of adherence, the most widely selected drugs were instead glatiramer acetate (6 patients) before 2010 and teriflunomide (6 patients) after 2010. Most of the patients with therapeutic failure had an MRS indicating a high risk of new relapses or disease progression before the first change of treatment, and in most of them the score was 3 points (Table 4).
Table 4

Risk according to MRS for patients with therapeutic failure

PeriodMRS-based riskn (%)
Before 2010Low5 (35.7)
High9 (64.3)
After 2010Low7 (19.4)
High29 (80.6)

MRS: modified Rio score.

A second change of treatment was needed in 25% of the patients, with 13.4% of these cases making the second switch before 2010, selecting IFNβ-1a and IFNβ-1b as the main choices. The other 86.6% who switched after 2010 selected fingolimod as the main choice. Treatment changes were analyzed according to cause for the time period after 2010. When the reasons for changing were tolerance problems or lack of adherence, fingolimod, teriflunomide, and glatiramer acetate were the most widely selected drugs, while fingolimod was selected when the reason was therapeutic failure (Table 3). The tendency among the patients who switched due to therapeutic failure was for a more effective treatment to be chosen (called scaling treatment). So-called horizontal changes to therapies considered to be similarly effective were applied to some of the patients, mostly before 2010. Only 1 patient switched to a drug of lower efficacy, from natalizumab to fingolimod (Table 2 and 3). The annualized relapse rate (ARR) in patients who switched due to therapeutic failure decreased significantly in this subgroup, from 0.97±1.14 to 0.18±0.31 (t=3.097, p=0.005). In patients who presented therapeutic failure after the first switch, the AAR was 0.18±0.34, and after the second switch it decreased to 0.14±0.20; however, this decrease was not statistically significant (t=1.279, p=0.233). In patients who presented with a low risk according to their MRS, the AAR was 0.465±0.410 prior to the first switch and 0.00±0.00 thereafter (t=2.200, p=0.115). In contrast, in those patients who presented with a high risk according to their MRS there was a significant reduction in ARR (t=0.283, p=0.010), from 1.065±1.210 to 0.27±0.34. Only patients who were switched to a more effective treatment (i.e., scaling treatment) exhibited a significant reduction in ARR (t=2.97, p=0.007).

DISCUSSION

The ever-expanding treatments for RRMS are becoming more sophisticated. The complex physiopathogeny of this disease has led to the development of molecules that exhibit substantial differences in their action mechanisms as well as in administration methods, dosage, efficacy, safety, and tolerability. Numerous DMDs have appeared on the market over the past decade. Following a worldwide tendency, new molecules for RRMS treatment were introduced in Argentina from 2010. Although all of these new drugs represent important advances in the treatment of MS, their efficacy, tolerance, and adherence remain unclear, and their adverse effects vary. It also has to be taken into account that individualized treatments are lacking, which makes it difficult to determine the most appropriate drugs for individual patients. These factors together hamper decision-making when initiating or changing treatment. There can be many reasons for justifying switching from one drug to another. When considering efficacy from the viewpoint of disease physiopathogeny, DMDs have different action mechanisms, and the highly heterogeneous nature of MS and the lack of a biological marker make it difficult to predict which drug will be optimal in a specific patient.11 It also has to be considered that 30% of patients may show suboptimal responses during the first years of treatment,1213 and there are different studies claiming that the annual rate of outbreaks and residual disability are related.14 Although some drugs exhibit greater efficacy, the available data are restricted by few prospective head-to-head trials having been performed. Moreover, there is a wide range of adverse effects with different levels of severity that may appear randomly in only certain patients, making it difficult to predict tolerability. Lastly, adherence can be a significant cause of treatment discontinuation.15 The therapeutic options were scarce prior to the appearance of the new drugs, and so only one-third of the subjects evaluated in our study had switched treatment before 2010. This could have been due to the lack of therapeutic options and established criteria for switching, since the main drugs used until that time were IFNβ and glatiramer acetate. The main reasons for changing treatment were therapeutic failure or a suboptimal response to the medication. It was observed that the choice of a certain drug varied according to the reason for changing treatment: when the reason was therapeutic failure, the most frequently selected drugs were IFNβ before 2010 and fingolimod and natalizumab after 2010. This analysis was performed using the MRS, and most of the patients were at a high risk at the time of switching DMDs, which further justified the changes. We observed a decrease in the ARR in patients who switched treatment due to therapeutic failure, with it being significantly higher in patients with a high MRS. Since the high-MRS patients benefited, careful monitoring for treatment failure and active treatment change should be considered in this population.16 There are scales other than MRS for defining “therapeutic failure” and serving as a guide to assess changes in treatment. Recommendations specific to Argentineans for identifying treatment failure in RRMS patients were published recently.17 That guide does not use the MRS for defining therapeutic failure and provides recommendations for optimizing the management of patients with MS in Argentina. In relation to other authors,18 our study showed greater reduction in the ARR among those patients who received a scaling treatment compared to those who received a horizontal change in treatment. In Carrá et al.18 reported on an Argentinean study of changes in treatment among patients who had experienced immunomodulatory therapy failure. Those authors analyzed switches from low-dose to high-dose IFN, from IFNβ to glatiramer acetate, and from glatiramer acetate to IFN. They found that patients who did not respond to first-line therapies benefited from switching to another immunomodulatory agent. Prosperini et al.19 carried out an observational study of 285 patients who had failed to respond to IFN or glatiramer-acetate therapy, and evaluated if the switch to natalizumab (a scaling treatment) was more effective than switching between first-line drugs (a horizontal change in treatment). They found no differences between the two groups at 12 months, but after 24 months a greater proportion of the patients in the scaling treatment group were free from relapse (p<0.0001), disability progression (p=0.0045), and MRI activity (p=0.0003). However, as mentioned above, it has to be considered that few head-to-head studies have compared the efficacy of one drug against another, and that none of these studies compared the so-called second-generation drugs. The next most common switches were those motivated by tolerance problems and lack of adherence, which similar to previous findings.15 Nearly one-third of the present patients switched medication due to tolerance problems, and a smaller percentage did so due to loss of adherence. Previous studies have found that the percentage of patients switching differs if each drug is analyzed separately, and also when randomized clinical trials (RCTs) controlled against placebo are compared with observational studies.15 It must be remembered that strict inclusion criteria are applied in RCTs, with these studies usually comparing groups of patients who have been selected and monitored very carefully. The patients encountered in daily clinical practices are more heterogeneous, which makes it difficult to extrapolate data from RCTs to the general population. Our analyses revealed a change in the treatment paradigm in patients with RRMS since 2010, which is probably due to the increased availability of drugs with greater efficacy and the existence of established criteria.2021 This complex scenario could be related to the appearance of new DMDs that vary greatly in efficacy, safety, and tolerability. New DMDs that are currently in different stages of clinical development will probably be introduced in the near future for treating RRMS, which will further add to the complexity of the therapeutic options for these patients. Another remaining challenge is to develop individualized treatments based on clinical, radiological, and laboratory variables. Individual needs should be considered when treating each patient and for controlling the disease.
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Review 5.  Diagnosis and management of multiple sclerosis.

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Authors:  Mark S Freedman; Daniel Selchen; Douglas L Arnold; Alexandre Prat; Brenda Banwell; Michael Yeung; David Morgenthau; Yves Lapierre
Journal:  Can J Neurol Sci       Date:  2013-05       Impact factor: 2.104

8.  Measures in the first year of therapy predict the response to interferon beta in MS.

Authors:  J Río; J Castilló; A Rovira; M Tintoré; J Sastre-Garriga; A Horga; C Nos; M Comabella; X Aymerich; X Montalbán
Journal:  Mult Scler       Date:  2009-07       Impact factor: 6.312

9.  Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.

Authors:  Chris H Polman; Stephen C Reingold; Brenda Banwell; Michel Clanet; Jeffrey A Cohen; Massimo Filippi; Kazuo Fujihara; Eva Havrdova; Michael Hutchinson; Ludwig Kappos; Fred D Lublin; Xavier Montalban; Paul O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Emmanuelle Waubant; Brian Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2011-02       Impact factor: 10.422

Review 10.  B cell characterization and reactivity analysis in multiple sclerosis.

Authors:  J Fraussen; K Vrolix; P Martinez-Martinez; M Losen; M H De Baets; P Stinissen; V Somers
Journal:  Autoimmun Rev       Date:  2009-02-21       Impact factor: 9.754

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