University of Palermo

Author Of 1 Presentation

Observational Studies Oral Presentation

PS05.03 - Disease modifying treatment may delay time to wheelchair in primary progressive multiple sclerosis: a real-life cohort

Abstract

Background

Background: Except for ocrelizumab, treatment options in primary progressive multiple sclerosis (PPMS) are lacking, as randomized clinical trials failed to show efficacy in reducing disability progression in this patient population.

Objectives

Objective: To investigate the effectiveness of disease-modifying treatment (DMT) on hard disability outcomes (EDSS 6 and 7) in a real-life population of PPMS patients.

Methods

Methods: Using the Italian MS Registry, we selected PPMS patients with at least three EDSS evaluations and three years of follow-up. Study baseline was defined as the first EDSS evaluation for untreated patients and the date of the first DMT initiation for treated patients. The impact of DMT on the risk of reaching EDSS 6 and 7 was assessed as a dichotomous variable (yes versus no) and as a time-dependent covariate through multivariable Cox regression models (adjusted for age at baseline, sex, first EDSS score, symptoms at onset, annualized visit rate, annualized relapse rate). We compared outcomes with an as-treated analysis and used propensity-score matching (PSM) to select cohorts with comparable baseline characteristics. DMT-exposure was also evaluated in terms of quartiles of exposure.

Results

Results: Of the 1214 patients we included 671 females, mean ± Standard Deviation baseline age 48.7 ± 11.1 years, mean EDSS score 4.1 ± 1.8, 790 (65%) received a DMT during the follow-up (57% platform and 43% highly active treatments). In the whole sample, after a mean follow-up of 11.6 ± 6.3 years, 994 (82%) patients reached EDSS 6 and 539 (44%) EDSS 7. In the multivariable Cox regression models, the use of DMT analyzed as a dichotomous variable did not influence the risk of reaching EDSS 6 (aHR=1.1, 95% CI 0.95-1.28, p=0.181) and EDSS 7 (aHR = 0.93, 95% CI 0.77-1.12. p = 0.454). However, longer DMT exposure significantly reduced the risk of reaching EDSS 7 (aHR = 0.73, 95% CI 0.56-0.95, p =0.021). Of note, patients in the upper quartile of DMT exposure compared with those with shorter DMT exposure were younger at baseline (mean age 44.1 ± 10.6 years; p < 0.001) and received the first DMT closer to the disease onset (mean time to first DMT 6.8 years ± 6.1 ; p=0.002). All these findings were confirmed in the PSM analysis.

Conclusions

Conclusion: Our results suggest that longer exposure to DMT may delay time to wheelchair in PPMS patients. Moreover, treating younger patients and reducing the delay to treatment initiation may improve the patients’ long-term disability outcomes. To optimize treatment decision-making in PPMS further profiling of the best candidates to treatment is needed.

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Author Of 1 Presentation

Clinical Outcome Measures Poster Presentation

P0085 - Harmonization of real-world studies in multiple sclerosis: retrospective analysis from the RIReMS group (ID 687)

Abstract

Background

Worldwide multiple sclerosis (MS) centers have coordinated their efforts to use data acquired in clinical practice for real-world observational studies.

Objectives

In this retrospective study, we aim to harmonize outcome measures, and to evaluate their heterogeneity within the Rising Italian Researchers in MS (RIReMS) study group.

Methods

RIReMS members filled in a structured questionnaire evaluating the use of different outcome measures in clinical practice. Thereafter, thirty-four already-published papers from RIReMS centers were used for heterogeneity analyses, using the DerSimonian and Laird random-effects method to compute the between-study variance (τ2).

Results

Based on questionnaire results, we defined basic modules for diagnosis and follow-up, consisting of outcome measures recorded by all participating centers at the time of diagnosis, and, then, at least annually; we also defined more detailed/optional modules, with outcome measures recorded less frequently and/or in the presence of specific clinical indications. Looking at heterogeneity, we found 5-year variance in age at onset (ES=27.34; 95%CI=26.18, 28.49; p<0.01; τ2=4.76), and 7% in female percent (ES=66.42; 95%CI=63.08, 69.76; p<0.01; τ2=7.15). EDSS variance was 0.2 in studies including patients with average age <36.1 years (ES=1.96; 95%CI=1.69, 2.24; p<0.01; τ2=0.19), or from 36.8 to 41.1 years (ES=2.70; 95%CI=2.39, 3.01; p<0.01; τ2=0.18), but increased to 3 in studies including patients aged >41.4 years (ES=4.37; 95%CI=3.40, 5.35; p<0.01; τ2=2.96). The lowest variance of relapse rate was found in studies with follow-up duration ≤2 years (ES=9.07; 95%CI=5.21, 12.93; p=0.02; τ2=5.53), whilst the lowest variance in EDSS progression was found in studies with follow-up duration >2 years (ES=5.41; 95%CI=3.22, 7.60; p=0.02; τ2=1.00).

Conclusions

We suggest common sets of biomarkers to be acquired in clinical practice, that can be used for research purposes. Also, we provide researchers with specific indications for improving inclusion criteria and data analysis, ultimately allowing data harmonization and high-quality collaborative studies.

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