Literature DB >> 26374702

Factors influencing long-term outcomes in relapsing-remitting multiple sclerosis: PRISMS-15.

Ludwig Kappos1, Jens Kuhle1, Juha Multanen2, Marcelo Kremenchutzky3, Elisabetta Verdun di Cantogno4, Peter Cornelisse5, Lorenz Lehr4, Florence Casset-Semanaz6, Delphine Issard7, Bernard M J Uitdehaag8.   

Abstract

AIM: An exploratory study of the relationship between cumulative exposure to subcutaneous (sc) interferon (IFN) β-1a treatment and other possible prognostic factors with long-term clinical outcomes in relapsing-remitting multiple sclerosis (RRMS).
METHODS: Patients in the original PRISMS study were invited to a single follow-up visit 15 years after initial randomisation (PRISMS-15). Outcomes over 15 years were compared in the lowest and highest quartile of the cumulative sc IFN β-1a dose groups, and according to total time receiving sc IFN β-1a as a continuous variable per 5 years of treatment. Potential prognostic factors for outcomes were analysed.
RESULTS: Of 560 patients randomised in PRISMS, 291 returned for PRISMS-15 and 290 (51.8%) were analysed. Higher cumulative dose exposure and longer treatment time appeared to be associated with better outcomes on: annualised relapse rate, number of relapses, time to Expanded Disability Status Scale (EDSS) progression, change in EDSS, proportions of patients with EDSS ≥ 4 or ≥ 6, ≤ 5 relapses and EDSS <4 or <6, and time to conversion to secondary-progressive MS (SPMS). Higher dose exposure was associated with lower proportions of patients with EDSS progression and conversion to SPMS, and longer time on treatment with lower risk of first relapse. Change in EDSS from baseline to 24 months was a strong predictor of evaluated clinical outcomes over 15 years.
CONCLUSIONS: These findings suggest that higher cumulative exposure to sc IFN β-1a may be associated with better clinical outcomes, and early change in EDSS score may have prognostic value, over many years, in RRMS. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

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Keywords:  INTERFERON; MRI; MULTIPLE SCLEROSIS

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Year:  2015        PMID: 26374702      PMCID: PMC4680156          DOI: 10.1136/jnnp-2014-310024

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


Introduction

At diagnosis, more than 80% of patients with multiple sclerosis (MS) have the relapsing–remitting form of the disease (RRMS).1Most patients with RRMS (>80%) will develop secondary–progressive MS (SPMS) over 25 years,2 with a median time to progression ranging from approximately 15–21 years after disease onset.2 3 Owing to the lifelong course of MS, it is important to determine potential baseline or early prognostic factors for long-term outcomes. One of the earliest MS therapy pivotal trials was the PRISMS (Prevention of Relapses and Disability by interferon (IFN) β-1a subcutaneously (sc) in MS) study. This 2-year controlled study was the first to establish the efficacy of IFN β-1a, 44 or 22 µg, administered sc three times weekly (tiw), versus placebo, on clinical and MRI measures in RRMS.4 Results from an extension study5 and long-term follow-up at 7–8 years6 demonstrated benefits of early versus delayed sc IFN β-1a therapy, with these benefits most apparent at the 44 µg dose. Exploratory analyses at 7–8 years suggested that higher cumulative exposure to IFNβ-1a may be associated with better clinical outcomes,7 and that baseline brain volume, early disability status and Medication Possession Ratio (MPR) may predict long-term outcomes.8 Patients were invited to a long-term follow-up visit at 15 years from randomisation (PRISMS-15). This offered the opportunity for exploratory analyses of the relationship of cumulative exposure to sc IFN β-1a and other potential prognostic factors with long-term clinical outcomes. The data were collected in accordance with Good Clinical Practice and quality assurance procedures.

Methods

Study design

The design and conduct of the PRISMS study have been described previously.4–6 In the initial double-blind phase, patients with RRMS were randomised to receive IFN β-1a 44 or 22 µg sc tiw, or placebo, for 2 years.4 The study was extended for a further 2 years (years 3–4), during which patients continued the same blinded dose or, if originally randomised to placebo, were re-randomised to one of the two doses of sc IFN β-1a.5 All patients were then given the opportunity to continue on blinded or open-label treatment for the following 2 years (years 5–6). After withdrawal or completion of 6 years on study, patients could continue on any or no treatment as per standard clinical practice. All originally randomised patients were invited to single-visit, long-term follow-up assessments at 7–8 years6 and approximately 15 years after initial randomisation. The 15-year visit included a neurological evaluation, and retrospective review of medical and treatment history collected since the final visit of the initial 4-year study period or the long-term follow-up assessment at 7–8 years.6 Clinical evaluations throughout PRISMS included documentation of relapses and assessments using the Expanded Disability Status Scale (EDSS). At the 15-year visit, relapse counts were based on data prospectively collected during the first 4 years plus retrospective data over subsequent years. EDSS progression at 15 years was defined as an increase in EDSS score of ≥1 points (≥0.5 points if the baseline score was ≥6) that was not associated with a relapse. For confirmation of EDSS progression, the increase had to be maintained for at least 3 months; progression at the time of PRISMS-15 was assumed to be confirmed as there was no subsequent follow-up visit. The 15-year visit had to be conducted at least 3 months after the onset of the last relapse to avoid EDSS assessment bias. Conversion to SPMS, which was defined as an endpoint and assessed at the long-term follow-up visits only, was defined as progressive worsening of disability for at least 12 months despite best symptomatic management and confirmed EDSS progression, following an initial relapsing–remitting disease course.6 7 PRISMS-15 was conducted in accordance with the Declaration of Helsinki, International Conference on Harmonisation/Good Clinical Practice (GCP) Guidelines, and local regulations. The protocol was approved by health authorities and an independent ethics committee or institutional review board, according to country-specific laws. All patients gave written informed consent.

PRISMS-15 exploratory analyses

Impact of exposure to sc IFN β-1a on clinical outcomes

Clinical outcomes were investigated in subgroups of patients defined by cumulative treatment exposure to sc IFN β-1a from original randomisation over 15 years by cumulative dose or cumulative time on treatment. Categorisation of cumulative sc IFN β-1a dose exposure has been described;7 briefly, patient data from the three original study arms (IFN β-1a 44 or 22 µg sc tiw, or placebo) were pooled and ranked from lowest to highest cumulative dose exposure to sc IFN β-1a over 15 years, calculated as (dose of IFN β-1a)×(frequency of application)×(period of application, in weeks). The minimum (lowest quartile, MIN) and maximum (highest quartile, MAX) cumulative dose exposure groups were compared with respect to the following clinical outcomes over 15 years: mean annualised relapse rate (ARR); mean number of relapses per patient; proportion of patients free from relapse; time to first relapse during the study; proportion of patients with 0–5, 6–10 and ≥11 relapses; proportion of patients with EDSS progression; time to first 3-month confirmed EDSS progression; change in EDSS score over 15 years; proportions of patients with EDSS score ≥4 or ≥6; proportions of patients with ≤5 relapses and EDSS score <4 or <6; proportion of patients converting to SPMS; and time to conversion to SPMS. SPMS was defined as a progressive deterioration of disability for a minimum of 6 months and an increase of EDSS of >1 point (or >0.5 point for EDSS > 6.0) not associated with an exacerbation). Total time receiving sc IFN β-1a (irrespective of dose) was examined as a continuous variable per 5 years of treatment for the clinical outcomes listed above, with the exceptions of mean number of relapses per patient and the proportions of patients remaining relapse free, with EDSS progression, and converting to SPMS. Dichotomous variables were analysed using logistic regression. Time to event variables were analysed using a Cox proportional hazards model; if no event occurred, then the time was censored at the PRISMS-15 visit date. Change in EDSS score by cumulative time on sc IFN β-1a treatment was estimated using linear regression. ARR, defined as the total number of relapses divided by the length of the time in years, was analysed using Poisson regression. As these were post hoc exploratory analyses, p values were not calculated.

Prognostic factors for clinical outcomes

The following long-term outcome variables were assessed: change in EDSS score from baseline to 15 years (continuous variable), SPMS conversion status (yes/no) and 3-month confirmed EDSS progression over 15 years (yes/no). Baseline/prestudy characteristics, indicators of early clinical or MRI activity from baseline to 24 months and indicators of treatment exposure, were investigated as candidate prognostic factors for the long-term outcome variables. Baseline/prestudy characteristics were: age (years), female sex, time since MS onset (years), number of prior relapses, EDSS and log (T2 burden of disease (BOD)). Indicators of early clinical or MRI activity from baseline to 24 months were: change in EDSS, ARR, change in log (T2 BOD) and number of T2 active lesions (defined as new or enlarging T2 lesions) per scan. Indicators of treatment exposure were: early IFN β-1a (44 or 22 µg tiw) treatment and MPR (calculated as 100×time (days) on sc IFN β-1a treatment from baseline to the 15-year visit/time (days) from baseline to the 15-year visit). Initially, the prognostic factors were tested in univariate models using linear regression for change in EDSS score from baseline to 15 years, and logistic regression for SPMS conversion and 3-month confirmed EDSS progression over 15 years. Factors significant in univariate models (p≤0.10) were entered into forward selection, stepwise multivariate analyses, in which only factors with p≤0.10 remained in the final models. The final predictive models for each outcome were summarised by parameter estimates per prognostic factor; positive regression coefficients indicate that a positive/increasing value in the prognostic factor leads to an increase in the outcome, while negative regression coefficients indicate that a positive/increasing value in the prognostic factor leads to a decrease in the outcome.

Results

Patients

Of the 560 patients originally randomised in the PRISMS study, 291 (52.0%) returned for PRISMS-15. Four of the original 22 centres did not participate in PRISMS-15; when the 89 patients from these non-participating centres were excluded, 61.8% (291/471) of eligible patients attended the 15-year visit. One patient who returned at 15 years was excluded because of a revised diagnosis (neuromyelitis optica). Of the 290 patients analysed in PRISMS-15, 234 (80.7%) had participated in the long-term follow-up at 7–8 years and 56 (19.3%) attended PRISMS-15 only. At the year 15 visit, of the 290 patients included in the analysis, 118 patients were recorded as still receiving any IFN β-1a treatment and 168 as still receiving any DMD. There were no differences in baseline demographics and disease characteristics between patients who did and did not attend PRISMS-15 (see online supplementary table S1). Similar proportions of patients returned for the 15-year visit from each of the original randomisation groups. Demographic and disease characteristics, and treatment exposure, are presented for the PRISMS-15 cohort by original randomisation group (table 1), and for the MIN and MAX cumulative dose groups (table 2). The lower mean time on sc IFN β-1a treatment for patients originally randomised to placebo is consistent with the 2 years of delay prior to receiving active treatment.4
Table 1

Demographic and disease characteristics and time on treatment in the PRISMS-15 cohort, by original randomisation group (see also online supplementary tables S4 and S5 for characteristics at 24 and 48 months after randomisation)

 Original randomisation group
IFN β-1a, 44 µg sc tiw(n=95)IFN β-1a, 22 µg sc tiw(n=95)Placebo(n=100)Overall(N=290)
Female, n (%)63 (66.3)65 (68.4)76 (76.0)204 (70.3)
White, n (%)94 (98.9)94 (98.9)99 (99.0)287 (99.0)
At baseline
 Median (range) time from MS onset, years7.0 (0.6–34.4)5.9 (1.0–22.8)4.6 (1.2–18.8)5.6 (0.6–34.4)
 Mean (SD) number of relapses in prior 2 years3.0 (1.1)3.0 (1.1)3.1 (1.3)3.0 (1.2)
 Mean (SD) EDSS score2.5 (1.2)2.4 (1.2)2.2 (1.2)2.4 (1.2)
At PRISMS-15
 Median (range) age, years52.3 (35.4–66.4)50.3 (36.9–66.1)51.1 (36.2–64.6)51.2 (35.4–66.4)
 Mean (SD) time on sc IFN β-1a treatment, years10.6 (5.0)10.6 (4.9)8.8 (5.1)10.0 (5.0)

EDSS, Expanded Disability Status Scale; IFN, interferon; MS, multiple sclerosis; sc, subcutaneous(ly); tiw, three times weekly.

Table 2

Demographic and disease characteristics, original randomisation groups, and treatment exposure in the lowest (MIN) and highest (MAX) quartiles of cumulative total dose of sc IFN β-1a (see also online supplementary tables S4 and S5 for characteristics at 24 and 48 months after randomisation)

 Cumulative dose of sc IFN β-1a (quartiles)
MIN (n=73)MAX (n=72)
Median (range) age,* years33.6 (20.4–50.3)36.6 (20.6–49.4)
Female, n (%)53 (72.6)46 (63.9)
White, n (%)72 (98.6)70 (97.2)
Median (range) time from MS onset,* years6.2 (1.0–24.2)5.2 (1.1–34.4)
Mean (SD) number of relapses in prior 2 years*3.1 (1.3)3.0 (1.0)
Mean (SD) EDSS score*2.5 (1.2)2.2 (1.0)
Original randomisation group, n (%)
 IFN β-1a 44 µg14 (19.2)35 (48.6)
 IFN β-1a 22 µg27 (37.0)14 (19.4)
 Placebo32 (43.8)23 (31.9)
Mean (SD) time on sc IFN β-1a treatment,† years2.9 (1.9)14.7 (1.3)
Mean (SD) cumulative total dose of sc IFN β-1a,† mg12.3 (7.4)94.9 (10.4)
Use of other first-line DMDs,† n (%)38 (52.1)2 (2.8)

*At baseline.

†At PRISMS-15.

DMD, disease-modifying drug; EDSS, Expanded Disability Status Scale; IFN, interferon; sc, subcutaneous.

Demographic and disease characteristics and time on treatment in the PRISMS-15 cohort, by original randomisation group (see also online supplementary tables S4 and S5 for characteristics at 24 and 48 months after randomisation) EDSS, Expanded Disability Status Scale; IFN, interferon; MS, multiple sclerosis; sc, subcutaneous(ly); tiw, three times weekly. Demographic and disease characteristics, original randomisation groups, and treatment exposure in the lowest (MIN) and highest (MAX) quartiles of cumulative total dose of sc IFN β-1a (see also online supplementary tables S4 and S5 for characteristics at 24 and 48 months after randomisation) *At baseline. †At PRISMS-15. DMD, disease-modifying drug; EDSS, Expanded Disability Status Scale; IFN, interferon; sc, subcutaneous. Treatment responses and safety data after the first 2 years of the PRISMS study in patients who did and did not attend PRISMS-15 are presented in table 3. Differences in efficacy outcomes favouring the group that participated at PRISMS-15 were observed regarding T2 lesion change and ARR. Adverse events (AEs) and serious AEs were reported at similar frequencies in each group. Compared with patients who attended PRISMS-15, a slightly higher proportion of patients who did not attend had at least one AE leading to treatment discontinuation.
Table 3

Efficacy and safety outcomes over the first 2 years of the PRISMS study in patients who did and did not return for PRISMS-15

Outcomes at 2 yearsPatients attending PRISMS-15 (n=290)Patients not attending PRISMS-15 (n=270)p Value for between-group comparison
Mean (SD) number of relapses1.9 (1.7)2.2 (2.0)0.290
Mean (SD) ARR0.98 (0.92)1.15 (1.09)0.104
Mean (SD) change from baseline in EDDS score0.23 (1.08)*0.36 (1.27)†0.516
3-month confirmed EDSS progression, n (%)84 (29.2)‡87 (34.4)§0.193
Mean (SD) % change from baseline in T2 BOD7.36 (45.91)¶21.96 (120.97)**|0.006
Mean (SD) mean number of T2 active lesions per scan2.05 (3.02)‡2.26 (3.64)††0.679
≥1 AE, n (%)290 (100)269 (99.6)0.300
≥1 SAE, n (%)28 (9.7)33 (12.2)0.330
≥1 AE possibly or probably related to treatment, n (%)272 (93.8)258 (95.6)0.355
≥1 AE leading to treatment discontinuation, n (%)8 (2.8)19 (7.0)0.018

*n=285.

†n=248.

‡n=288.

§n=253.

¶n=277.

**n=237.

††n=263.

p Values for efficacy outcomes were estimated using a non-parametric analysis of variance model on ranked data (except 3-month confirmed EDDS progression where the p value was calculated using a χ2 test); p values for safety outcomes were calculated using a χ2 test.

AE, adverse event; ARR, annualised relapse rate; BOD, burden of disease; EDSS, Expanded Disability Status Scale; SAE, serious adverse event.

Efficacy and safety outcomes over the first 2 years of the PRISMS study in patients who did and did not return for PRISMS-15 *n=285. †n=248. ‡n=288. §n=253. ¶n=277. **n=237. ††n=263. p Values for efficacy outcomes were estimated using a non-parametric analysis of variance model on ranked data (except 3-month confirmed EDDS progression where the p value was calculated using a χ2 test); p values for safety outcomes were calculated using a χ2 test. AE, adverse event; ARR, annualised relapse rate; BOD, burden of disease; EDSS, Expanded Disability Status Scale; SAE, serious adverse event. Overall, 36/290 (12.4%) patients had received IFN β-1a 44 and/or 22 µg sc tiw continuously from randomisation to PRISMS-15 (some patients having switched dose over the course of the 15-year period).

Impact of exposure to IFN β-1a on clinical outcomes

Relapse outcomes

The MAX cumulative dose group had a lower mean ARR and number of relapses over 15 years compared with the MIN group (table 4). No difference was observed between the MAX and MIN groups regarding the proportion of patients remaining relapse free (table 4), and the time to first relapse (HR 0.73; 95% CI 0.52 to 1.03). Compared with the MIN group, a lower proportion of patients had ≥11 relapses but a higher proportion had 0–5 relapses in the MAX group (table 5).
Table 4

Measures of clinical disease activity from baseline to PRISMS-15 in the lowest (MIN) and highest (MAX) quartiles, by cumulative total dose of sc IFN β-1a and by time receiving sc IFN β-1a per 5 years

Cumulative dose of sc IFN β-1a
Outcomes at year 15MIN (n=73)MAX (n=72)OR* (95% CI) MAX vs MINOdds ratio† (95% CI) per 5 years of sc IFN β-1a treatment
Mean (95% CI) annualised relapse rate‡0.50 (0.46 to 0.54)0.37 (0.33 to 0.40)
Mean (SD) number of relapses7.8 (5.8)5.8 (4.8)
Relapse-free, n (%)5 (6.8)5 (6.9)
3-month confirmed EDSS progression, n (%)50 (68.5)38 (52.8)
Mean (SD) change in EDSS score2.53 (2.01)1.15 (1.52)
EDSS ≥4, n (%)37 (60.7)§21 (31.8)¶0.30 (0.15 to 0.63)0.75 (0.58 to 0.96)
EDSS ≥6, n (%)38 (52.1)10 (13.9)0.15 (0.07 to 0.33)0.60 (0.47 to 0.77)
≤5 relapses and EDSS <4,** n (%)11 (16.9)††25 (35.7)‡‡2.73 (1.21 to 6.14)1.39 (1.05 to 1.83)
≤5 relapses and EDSS <6,§§ n (%)12 (16.4)34 (47.2)4.55 (2.10 to 9.85)1.68 (1.29 to 2.18)
Converted to SPMS, n (%)38 (52.1)15 (20.8)

*MIN quartile as a reference category; logistic regression model.

†Logistic regression model.

‡Poisson regression model with factors for quartile of cumulative dose of sc IFN β-1a. The log of total observation time in years from PRISMS baseline to PRISMS-15 was used as the offset variable.

§n=61.

¶n=66.

**Patients with baseline EDSS ≥4 are counted as missing on the EDSS component of the variable.

††n=65.

‡‡n=70.

§§Patients with baseline EDSS ≥6 are counted as missing on the EDSS component of the variable.

EDSS, Expanded Disability Status Scale; IFN, interferon; sc, subcutaneous; SPMS, secondary progressive multiple sclerosis.

Table 5

Categorised relapse outcomes from baseline to PRISMS-15 in the lowest (MIN) and highest (MAX) quartiles by cumulative total dose of sc IFN β-1a, and by time receiving sc IFN β-1a

 Number of relapses
0–56–10≥11
Cumulative dose of sc IFN β-1a
 MIN (n=73), n (%)29 (39.7)25 (34.2)19 (26.0)
 MAX (n=72), n (%)41 (56.9)20 (27.8)11 (15.3)
Mean (SD) time on sc IFNβ-1a treatment,*years10.70 (4.73)9.45 (5.27)8.44 (5.23)

*n=156 in the 0–5 relapses group; n=85 in the 6–10 relapses group; n=49 in the ≥11 relapses group.

IFN, interferon; sc, subcutaneous.

Measures of clinical disease activity from baseline to PRISMS-15 in the lowest (MIN) and highest (MAX) quartiles, by cumulative total dose of sc IFN β-1a and by time receiving sc IFN β-1a per 5 years *MIN quartile as a reference category; logistic regression model. †Logistic regression model. ‡Poisson regression model with factors for quartile of cumulative dose of sc IFN β-1a. The log of total observation time in years from PRISMS baseline to PRISMS-15 was used as the offset variable. §n=61. ¶n=66. **Patients with baseline EDSS ≥4 are counted as missing on the EDSS component of the variable. ††n=65. ‡‡n=70. §§Patients with baseline EDSS ≥6 are counted as missing on the EDSS component of the variable. EDSS, Expanded Disability Status Scale; IFN, interferon; sc, subcutaneous; SPMS, secondary progressive multiple sclerosis. Categorised relapse outcomes from baseline to PRISMS-15 in the lowest (MIN) and highest (MAX) quartiles by cumulative total dose of sc IFN β-1a, and by time receiving sc IFN β-1a *n=156 in the 0–5 relapses group; n=85 in the 6–10 relapses group; n=49 in the ≥11 relapses group. IFN, interferon; sc, subcutaneous. For each cycle of 5 years of sc IFN β-1a treatment, there was a reduction in the mean ARR by 14% (parameter estimate (SE) −0.15 (0.02); 95% CI −0.19 to −0.10) and risk of first relapse by 13% (HR 0.87; 95% CI 0.77 to 0.99). Time on treatment tended to be longer in patients with fewer relapses (table 5). For relapse-related outcomes, similar benefits with higher dose exposure were observed in the subgroup of patients who did not have SPMS at PRISMS-15 (n=179; data not shown).

Disability and composite outcomes

Compared with the MIN cumulative dose group, the MAX group had a lower proportion of patients with 3-month confirmed EDSS progression, a smaller mean increase in EDSS score, lower proportions of patients with EDSS scores ≥4 or ≥6, and higher proportions of patients with ≤5 relapses and EDDS scores <4 or <6 (table 4). Time to first 3-month confirmed EDSS progression was delayed in the MAX versus MIN group (HR 0.64; 95% CI 0.42 to 0.98). The risk of 3-month confirmed EDSS progression was reduced by 14% with each cycle of 5 years of sc IFN β-1a treatment (HR 0.86; 95% CI 0.74 to 0.98). A reduction of approximately 0.5 points on the EDSS was associated with each cycle of 5 years of sc IFN β-1a treatment (parameter estimate (SE) −0.43 (0.11); 95% CI −0.65 to −0.20). With each cycle of 5 years of sc IFN β-1a treatment, the risk of reaching an EDSS score of ≥4 or ≥6 was reduced and the likelihood of having ≤5 relapses and an EDSS score <4 or <6 was increased (table 4).

Conversion to SPMS

A lower proportion of patients converted to SPMS in the MAX versus MIN group (table 4). Time to SPMS was delayed in the MAX versus MIN group (HR 0.31; 95% CI 0.17 to 0.56). With each cycle of 5 years of sc IFN β-1a treatment, the risk of SPMS was reduced by 28% (HR 0.72; 95% CI 0.60 to 0.86).

Prognostic factors for clinical outcomes

In univariate models, change in EDSS score from baseline to 24 months and MPR over 15 years were both predictors (p≤0.10) for SPMS conversion, change in EDSS score and confirmed EDSS progression over 15 years (see online supplementary table S2). Regression coefficients for prognostic factors that were predictive in multivariate models are shown in table 6. An increase in EDSS score from baseline to 24 months was associated with an increase in EDSS score and likelihood of confirmed EDSS progression as well as SPMS conversion over 15 years. Associations were also observed between a higher MPR over 15 years and a lower increase in EDSS score over 15 years and lower risk of SPMS.
Table 6

Regression coefficients for prognostic factors in the final predictive multivariate regression models for selected clinical outcomes at 15 years

VariableClinical outcomes at 15 years*
SPMS conversionChange in EDSSEDSS 3-month confirmed progression
Female sex−0.5176; p=0.0864
Baseline EDSS score+0.6587; p<0.0001
Change in EDSS score at 24 months+0.5963; p<0.0001+0.7087; p<0.0001+1.3607; p<0.0001
Change in log(T2 BOD) at 24 months+0.8351; p=0.0268
Medication Possession Ratio−0.0099; p=0.0261−0.0078; p=0.0238

*Data calculated using forward selection, stepwise multivariate analysis.

BOD, burden of disease; EDSS, Expanded Disability Status Scale; SPMS, secondary progressive multiple sclerosis.

Regression coefficients for prognostic factors in the final predictive multivariate regression models for selected clinical outcomes at 15 years *Data calculated using forward selection, stepwise multivariate analysis. BOD, burden of disease; EDSS, Expanded Disability Status Scale; SPMS, secondary progressive multiple sclerosis. Prognostic factors were examined separately in the original randomisation groups. In patients who had initially been randomised to placebo for 2 years, baseline log (T2 BOD) and change in log (T2 BOD) to 24 months were identified as predictive factors for SPMS conversion that were not present in the overall analysis (see online supplementary table S3).

Discussion

The main strength of the PRISMS-15 study is the inclusion of a well-characterised group of patients with RRMS who were comprehensively assessed during the core study and reassessed after 15 years according to GCP standards. This provided an opportunity to assess long-term clinical outcomes at 15 years in patients with varying exposure to sc IFN β-1a treatment. Overall, 61.8% of eligible patients from participating centres returned for the 15-year visit, which compares well with the proportions of patients returning for similar long-term studies.9–11 Nonetheless, the substantial proportion of patients lost to long-term follow-up remains an important limitation to this type of study. Equal proportions of patients returned from each original randomisation group, suggesting that there was no systematic bias as related to initial randomised treatment. The higher proportion of females and slightly shorter time since MS onset in the original placebo group, compared with the active treatment groups in the PRISMS-15 cohort, reflected the characteristics of the three arms at randomisation in the PRISMS study.4 However, the results of this post hoc exploratory analysis should also be considered in the context of the study limitations. A greater proportion of patients in the MIN versus MAX group switched to other treatments, and disease progression may have been a reason for switching therapy. Moreover, patients with worse outcomes may have been more likely to discontinue treatment. Other issues include different timings and frequencies of assessments, retrospective collection of relapse data that may be affected by recall bias, difficulties confirming EDSS progression (if not from existing medical records), unblinded assessment of patients who may no longer be receiving study medication, and treatment interruptions and conversions to non-study medications.6 Differences between returning and non-returning patients may have introduced selection bias. Patients with better disease outcomes may have tended to continue on treatment and/or have been more willing or able to participate, leading to under-representation of patients with worse outcomes. However, the returning and non-returning groups appeared similar in terms of baseline characteristics, with some differences in outcomes at 2 years, which suggests that the findings of this study were not driven by selection bias. In these exploratory analyses at 15 years, higher levels of cumulative dose exposure and longer time on treatment appeared to be associated with better clinical outcomes. This is consistent with findings from similar post hoc analyses from the previous long-term follow-up of PRISMS at 7–8 years after initial randomisation,7 and data from other IFN β and glatiramer acetate studies supporting long-term disease-modifying drug (DMD) therapy in MS.6 9–11 The association of higher exposure to sc IFN β-1a treatment with better relapse-related outcomes was similar in the overall population and the subgroup of patients who had not converted to SPMS over 15 years, suggesting that this did not reflect the development of relapse-independent continuous progression. In the MAX cumulative dose group, only 20.8% of patients had converted to SPMS over 15 years, compared with 52.1% in the MIN dose group. Although a direct comparison cannot be made, natural history data in patients with RRMS at disease onset who were not exposed to DMDs have indicated a median time to SPMS ranging from approximately 15–21 years.2 3 The use of other DMDs was not controlled for in PRISMS-15; about half of patients in the MIN dose group received other first-line DMDs after discontinuing sc IFN β-1a, but this group had poorer outcomes despite the high proportion of patients switching to other treatments. Less than 3% of patients in the MAX dose group received other first-line DMDs. Owing to the methods for calculating cumulative dose and time on treatment, it is not possible to definitively state cut-off points when a certain dose exposure resulted in a particular outcome, but these totals can be considered to provide an indication of adherence to sc IFN β-1a treatment over 15 years. The positive association of higher treatment exposure with more favourable outcomes suggests that starting treatment early and maintaining adherence over the long term may be important for optimal clinical outcomes. However, as this was an observational study without a randomised control group, it is impossible to determine whether better clinical outcomes are a consequence or cause of adherence to therapy.6 7 Identification of prognostic factors that can predict a successful or poor long-term outcome after starting therapy is required to assist therapeutic decision-making in clinical practice. Even after 15 years, a greater increase in EDSS score from baseline to 24 months appeared to be a strong predictor of worse outcomes in final multivariate models, consistent with results from a similar analysis after 7–8 years of follow-up.8 An association between higher MPR and a lower increase in EDSS score and risk of SPMS conversion over 15 years was also observed, which supports the importance of treatment adherence. In the univariate analysis, female sex, baseline log (T2 BOD), ARR at 24 months and the number of T2 active lesions per scan at 24 months predicted change in EDSS score over 15 years; and age at baseline, number of prior relapses, baseline log (T2 BOD) and ARR at 24 months predicted SPMS conversion; however, these variables were not confirmed as independent predictors in the multivariate analysis. Although this indicates that these putative prognostic factors have lower predictive value, the limitations of the statistical approach must be taken into account. The final multivariate models for the prognostic factor analyses were dependent on the particular combination of variables chosen for inclusion in the original candidate set of predictors. Predictors that were only marginally less powerful may have been forced out of the models by slightly more powerful predictors. It should also be noted that, in general, the R2 values of the predictive models were low. Despite the limitations inherent in long-term follow-up studies, the findings of these post hoc exploratory analyses suggest that higher dose exposure to IFN β-1a and longer time on treatment may be associated with better outcomes over many years in patients with RRMS. Change in EDSS score from baseline to 24 months and MPR also appeared predictive of long-term outcomes.
  10 in total

Review 1.  Multiple sclerosis.

Authors:  J H Noseworthy; C Lucchinetti; M Rodriguez; B G Weinshenker
Journal:  N Engl J Med       Date:  2000-09-28       Impact factor: 91.245

2.  Analysis of clinical outcomes according to original treatment groups 16 years after the pivotal IFNB-1b trial.

Authors:  G C Ebers; A Traboulsee; D Li; D Langdon; A T Reder; D S Goodin; T Bogumil; K Beckmann; C Wolf; A Konieczny
Journal:  J Neurol Neurosurg Psychiatry       Date:  2010-06-19       Impact factor: 10.154

3.  PRISMS-4: Long-term efficacy of interferon-beta-1a in relapsing MS.

Authors: 
Journal:  Neurology       Date:  2001-06-26       Impact factor: 9.910

4.  Long-term subcutaneous interferon beta-1a therapy in patients with relapsing-remitting MS.

Authors:  L Kappos; A Traboulsee; C Constantinescu; J-P Erälinna; F Forrestal; P Jongen; J Pollard; M Sandberg-Wollheim; C Sindic; B Stubinski; B Uitdehaag; D Li
Journal:  Neurology       Date:  2006-09-26       Impact factor: 9.910

5.  Impact of exposure to interferon beta-1a on outcomes in patients with relapsing-remitting multiple sclerosis: exploratory analyses from the PRISMS long-term follow-up study.

Authors:  Bernard Uitdehaag; Cris Constantinescu; Peter Cornelisse; Douglas Jeffery; Ludwig Kappos; David Li; Magnhild Sandberg-Wollheim; Anthony Traboulsee; Elisabetta Verdun; Victor Rivera
Journal:  Ther Adv Neurol Disord       Date:  2011-01       Impact factor: 6.570

6.  Intramuscular interferon beta-1a therapy in patients with relapsing-remitting multiple sclerosis: a 15-year follow-up study.

Authors:  R A Bermel; B Weinstock-Guttman; D Bourdette; P Foulds; X You; R A Rudick
Journal:  Mult Scler       Date:  2010-02-18       Impact factor: 6.312

7.  The natural history of secondary progressive multiple sclerosis.

Authors:  Marcus Koch; Elaine Kingwell; Peter Rieckmann; Helen Tremlett
Journal:  J Neurol Neurosurg Psychiatry       Date:  2010-07-16       Impact factor: 10.154

8.  Randomised double-blind placebo-controlled study of interferon beta-1a in relapsing/remitting multiple sclerosis. PRISMS (Prevention of Relapses and Disability by Interferon beta-1a Subcutaneously in Multiple Sclerosis) Study Group.

Authors: 
Journal:  Lancet       Date:  1998-11-07       Impact factor: 79.321

9.  The natural history of multiple sclerosis: a geographically based study 10: relapses and long-term disability.

Authors:  Antonio Scalfari; Anneke Neuhaus; Alexandra Degenhardt; George P Rice; Paolo A Muraro; Martin Daumer; George C Ebers
Journal:  Brain       Date:  2010-06-09       Impact factor: 13.501

10.  Continuous long-term immunomodulatory therapy in relapsing multiple sclerosis: results from the 15-year analysis of the US prospective open-label study of glatiramer acetate.

Authors:  C Ford; A D Goodman; K Johnson; N Kachuck; J W Lindsey; R Lisak; C Luzzio; L Myers; H Panitch; J Preiningerova; A Pruitt; J Rose; H Rus; J Wolinsky
Journal:  Mult Scler       Date:  2010-01-27       Impact factor: 6.312

  10 in total
  29 in total

1.  Retrospectively acquired cohort study to evaluate the long-term impact of two different treatment strategies on disability outcomes in patients with relapsing multiple sclerosis (RE.LO.DI.MS): data from the Italian MS Register.

Authors:  Damiano Paolicelli; Giuseppe Lucisano; Alessia Manni; Carlo Avolio; Simona Bonavita; Vincenzo Brescia Morra; Marco Capobianco; Eleonora Cocco; Antonella Conte; Giovanna De Luca; Francesca De Robertis; Claudio Gasperini; Maurizia Gatto; Paola Gazzola; Giacomo Lus; Antonio Iaffaldano; Pietro Iaffaldano; Davide Maimone; Giulia Mallucci; Giorgia T Maniscalco; Girolama A Marfia; Francesco Patti; Ilaria Pesci; Carlo Pozzilli; Marco Rovaris; Giuseppe Salemi; Marco Salvetti; Daniele Spitaleri; Rocco Totaro; Mauro Zaffaroni; Giancarlo Comi; Maria Pia Amato; Maria Trojano
Journal:  J Neurol       Date:  2019-09-18       Impact factor: 4.849

Review 2.  Treatment of Multiple Sclerosis: A Review.

Authors:  Stephen L Hauser; Bruce A C Cree
Journal:  Am J Med       Date:  2020-07-17       Impact factor: 4.965

3.  Cognition and fatigue in patients with relapsing multiple sclerosis treated by subcutaneous interferon β-1a: an observational study SKORE.

Authors:  Yvonne Benešová; Aleš Tvaroh
Journal:  Ther Adv Neurol Disord       Date:  2016-10-21       Impact factor: 6.570

Review 4.  Therapeutic Advances in Multiple Sclerosis.

Authors:  Jennifer H Yang; Torge Rempe; Natalie Whitmire; Anastasie Dunn-Pirio; Jennifer S Graves
Journal:  Front Neurol       Date:  2022-06-03       Impact factor: 4.086

5.  Relapse recovery in multiple sclerosis: Effect of treatment and contribution to long-term disability.

Authors:  Marinos G Sotiropoulos; Hrishikesh Lokhande; Brian C Healy; Mariann Polgar-Turcsanyi; Bonnie I Glanz; Rohit Bakshi; Howard L Weiner; Tanuja Chitnis
Journal:  Mult Scler J Exp Transl Clin       Date:  2021-05-28

6.  Persistence and adherence in multiple sclerosis patients starting glatiramer acetate treatment: assessment of relationship with care received from multiple disciplines.

Authors:  Peter Joseph Jongen; Wim A Lemmens; Raymond Hupperts; Erwin Lj Hoogervorst; Hans M Schrijver; Astrid Slettenaar; Els L de Schryver; Jan Boringa; Esther van Noort; Rogier Donders
Journal:  Patient Prefer Adherence       Date:  2016-05-24       Impact factor: 2.711

7.  Mental toughness, sleep disturbances, and physical activity in patients with multiple sclerosis compared to healthy adolescents and young adults.

Authors:  Dena Sadeghi Bahmani; Markus Gerber; Nadeem Kalak; Sakari Lemola; Peter J Clough; Pasquale Calabrese; Vahid Shaygannejad; Uwe Pühse; Edith Holsboer-Trachsler; Serge Brand
Journal:  Neuropsychiatr Dis Treat       Date:  2016-06-27       Impact factor: 2.570

8.  Injectable Disease Modifying Agents in Multiple Sclerosis: Pattern of Medication Use and Clinical Effectiveness.

Authors:  Elina Järvinen; Markus Holmberg; Marja-Liisa Sumelahti
Journal:  Neurol Int       Date:  2016-09-30

9.  The Efficacy of Natalizumab versus Fingolimod for Patients with Relapsing-Remitting Multiple Sclerosis: A Systematic Review, Indirect Evidence from Randomized Placebo-Controlled Trials and Meta-Analysis of Observational Head-to-Head Trials.

Authors:  Georgios Tsivgoulis; Aristeidis H Katsanos; Dimitris Mavridis; Nikolaos Grigoriadis; Efthymios Dardiotis; Ioannis Heliopoulos; Panagiotis Papathanasopoulos; Theodoros Karapanayiotides; Constantinos Kilidireas; Georgios M Hadjigeorgiou; Konstantinos Voumvourakis
Journal:  PLoS One       Date:  2016-09-29       Impact factor: 3.240

10.  Psychosocial and Medical Determinants of Health-related Quality of Life in Patients with Relapsing-Remitting Multiple Sclerosis.

Authors:  Isaac Rahimian Boogar; Siavash Talepasand; Mohammad Jabari
Journal:  Noro Psikiyatr Ars       Date:  2018-03-19       Impact factor: 1.339

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