Publications by authors named "Abdullatif Al-Khedr"

7 Publications

  • Page 1 of 1

Determinants of therapeutic lag in multiple sclerosis.

Mult Scler 2021 Jan 11:1352458520981300. Epub 2021 Jan 11.

CORe, Department of Medicine, University of Melbourne, Melbourne, VIC, Australia/Melbourne MS Centre, Department of Neurology, Royal Melbourne Hospital, Melbourne, VIC, Australia.

Background: A delayed onset of treatment effect, termed therapeutic lag, may influence the assessment of treatment response in some patient subgroups.

Objectives: The objective of this study is to explore the associations of patient and disease characteristics with therapeutic lag on relapses and disability accumulation.

Methods: Data from MSBase, a multinational multiple sclerosis (MS) registry, and OFSEP, the French MS registry, were used. Patients diagnosed with MS, minimum 1 year of exposure to MS treatment and 3 years of pre-treatment follow-up, were included in the analysis. Studied outcomes were incidence of relapses and disability accumulation. Therapeutic lag was calculated using an objective, validated method in subgroups stratified by patient and disease characteristics. Therapeutic lag under specific circumstances was then estimated in subgroups defined by combinations of clinical and demographic determinants.

Results: High baseline disability scores, annualised relapse rate (ARR) ⩾ 1 and male sex were associated with longer therapeutic lag on disability progression in sufficiently populated groups: females with expanded disability status scale (EDSS) < 6 and ARR < 1 had mean lag of 26.6 weeks (95% CI = 18.2-34.9), males with EDSS < 6 and ARR < 1 31.0 weeks (95% CI = 25.3-36.8), females with EDSS < 6 and ARR ⩾ 1 44.8 weeks (95% CI = 24.5-65.1), and females with EDSS ⩾ 6 and ARR < 1 54.3 weeks (95% CI = 47.2-61.5).

Conclusions: Pre-treatment EDSS and ARR are the most important determinants of therapeutic lag.
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http://dx.doi.org/10.1177/1352458520981300DOI Listing
January 2021

Progressive Multifocal Leukoencephalopathy Incidence and Risk Stratification Among Natalizumab Users in France.

JAMA Neurol 2020 01;77(1):94-102

CHU de Nantes, Service de Neurologie, CIC015 INSERM, Nantes, France.

Importance: Risk of developing progressive multifocal leukoencephalopathy (PML) is the major barrier to using natalizumab for patients with multiple sclerosis (MS). To date, the association of risk stratification with PML incidence has not been evaluated.

Objective: To describe the temporal evolution of PML incidence in France before and after introduction of risk minimization recommendations in 2013.

Design, Setting, And Participants: This observational study used data in the MS registry OFSEP (Observatoire Français de la Sclérose en Plaques) collected between April 15, 2007, and December 31, 2016, by participating MS expert centers and MS-dedicated networks of neurologists in France. Patients with an MS diagnosis according to current criteria, regardless of age, were eligible, and those exposed to at least 1 natalizumab infusion (n = 6318) were included in the at-risk population. A questionnaire was sent to all centers, asking for a description of their practice regarding PML risk stratification. Data were analyzed in July 2018.

Exposures: Time from the first natalizumab infusion to the occurrence of PML, natalizumab discontinuation plus 6 months, or the last clinical evaluation.

Main Outcomes And Measures: Incidence was the number of PML cases reported relative to the person-years exposed to natalizumab. A Poisson regression model for the 2007 to 2016 period estimated the annual variation in incidence and incidence rate ratio (IRR), adjusted for sex and age at treatment initiation and stratified by period (2007-2013 and 2013-2016).

Results: In total, 6318 patients were exposed to natalizumab during the study period, of whom 4682 (74.1%) were female, with a mean (SD [range]) age at MS onset of 28.5 (9.1 [1.1-72.4]) years; 45 confirmed incident cases of PML were diagnosed in 22 414 person-years of exposure. The crude incidence rate for the whole 2007 to 2016 period was 2.00 (95% CI, 1.46-2.69) per 1000 patient-years. Incidence significantly increased by 45.3% (IRR, 1.45; 95% CI, 1.15-1.83; P = .001) each year before 2013 and decreased by 23.0% (IRR, 0.77; 95% CI, 0.61-0.97; P = .03) each year from 2013 to 2016.

Conclusions And Relevance: The results of this study suggest, for the first time, a decrease in natalizumab-associated PML incidence since 2013 in France that may be associated with a generalized use of John Cunningham virus serologic test results; this finding appears to support the continuation and reinforcement of educational activities and risk-minimization strategies in the management of disease-modifying therapies for multiple sclerosis.
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http://dx.doi.org/10.1001/jamaneurol.2019.2670DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6724170PMC
January 2020

Comparative effectiveness of teriflunomide vs dimethyl fumarate in multiple sclerosis.

Neurology 2019 08 12;93(7):e635-e646. Epub 2019 Jul 12.

From INSERM (D.-A.L., L.B.), CIC 0004, Nantes; CRTI-INSERM UMR U1064 (D.-A.L.), Université de Nantes; Service de Neurologie (D.-A.L., S.W., L. Michel), CHU Nantes; Centre des Neurosciences de Lyon (R.C., F.R., S.V.), Observatoire Français de la Sclérose en Plaques, INSERM 1028 and CNRS UMR5292, Lyon; Université Claude Bernard Lyon 1 (R.C., F.R., S.V.), Université de Lyon; Department of Neurology (M.D.), Nancy University Hospital; Université de Lorraine (M.D.), EA 4360 APEMAC, Vandoeuvre-Lès-Nancy; Department of Neurology and Clinical Investigation Center (J.D.S.), CHU de Strasbourg, INSERM 1434; Department of Neurology (D.B.), CHU de Toulouse; Service de Neurologie (B. Brochet), CHU de Bordeaux; Service de Neurologie (J.P.), Hôpital de la Timone, CRMBM, CNRS, APHM, Aix Marseille Univ, Marseille; Univ Lille (P.V.), CHU Lille, LIRIC (Lille Inflammation Research International Center), INSERM UMR995; Service de Neurologie (G.E., L. Michel), CHU de Rennes; CRCSEP Nice (C.L.-F.), Neurologie Pasteur 2, Université Nice Cote d'Azur, Nice; Service de Neurologie (P. Clavelou), CHU de Clermont-Ferrand; Service de Neurologie (E.T.), CHU de Nîmes; Department of Neurology (J.-P.C.), Hôpital Nord, CHU Saint-Étienne; Service de Neurologie et Faculté de Médecine de Reims (A.T.), CHU de Reims, URCA; Service de Neurologie (B.S.), CHU Saint-Antoine; Service de Neurologie (A.A.K.), CHU d'Amiens; Service de Neurologie (P. Cabre), CHU de Fort de France; Service de Neurologie (C. Lubetzki, C.P.), CHU Pitié-Salpêtrière; Service de Neurologie (E.B.), CHU de Besançon; Service de Neurologie (O.H.), CH de Poissy; Service de Neurologie (T.D.), CH de Saint-Denis; Service de Neurologie (T.M.), CHU de Dijon; Service de Neurologie (O.G.), Fondation Rothschild; Service de Neurologie (B. Bourre), CHU de Rouen; Department of Neurology (A.W.), Hôpital Henri Mondor, Créteil; Service de Neurologie (P.L.), CHU de Montpellier; Service de Neurologie (L. Magy), CHU de Limoges; Service de Neurologie (G.D.), CHU de Caen; CRC SEP and Department of Neurology (A.-M.G.), CHU Bretonneau, Tours; Department of Neurology (N.M.), CHU La Milétrie, Poitiers; Department of Neurology (C. Labeyrie), CHU Bicêtre, Le Kremlin Bicêtre; Department of Neurology (I.P.), Hôpital Sud Francilien, Corbeil Essonnes; Department of Neurology (C.N.), CHU Versailles; Department of Neurology (O.C.), CHU de Grenoble; Ecole des Hautes Etudes en Santé Publique (E.L.), Rennes; Service de Neurologie, Sclérose en Plaques, Pathologies de la Myéline et Neuro-inflammation (S.V.), Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon/Bron; and INSERM (Y.F.), UMR 1246-SPHERE, Nantes University, Tours University, Nantes, France.

Objective: In this study, we compared the effectiveness of teriflunomide (TRF) and dimethyl fumarate (DMF) on both clinical and MRI outcomes in patients followed prospectively in the Observatoire Français de la Sclérose en Plaques.

Methods: A total of 1,770 patients with relapsing-remitting multiple sclerosis (RRMS) (713 on TRF and 1,057 on DMF) with an available baseline brain MRI were included in intention to treat. The 1- and 2-year postinitiation outcomes were relapses, increase of T2 lesions, increase in Expanded Disability Status Scale score, and reason for treatment discontinuation. Propensity scores (inverse probability weighting) and logistic regressions were estimated.

Results: The confounder-adjusted proportions of patients were similar in TRF- compared to DMF-treated patients for relapses and disability progression after 1 and 2 years. However, the adjusted proportion of patients with at least one new T2 lesion after 2 years was lower in DMF compared to TRF (60.8% vs 72.2%, odds ratio [OR] 0.60, < 0.001). Analyses of reasons for treatment withdrawal showed that lack of effectiveness was reported for 8.5% of DMF-treated patients vs 14.5% of TRF-treated patients (OR 0.54, < 0.001), while adverse events accounted for 16% of TRF-treated patients and 21% of DMF-treated patients after 2 years (OR 1.39, < 0.001).

Conclusions: After 2 years of treatment, we found similar effectiveness of DMF and TRF in terms of clinical outcomes, but with better MRI-based outcomes for DMF-treated patients, resulting in a lower rate of treatment discontinuation due to lack of effectiveness.

Classification Of Evidence: This study provides Class III evidence that for patients with RRMS, TRF and DMF have similar clinical effectiveness after 2 years of treatment.
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http://dx.doi.org/10.1212/WNL.0000000000007938DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715507PMC
August 2019

Comparative efficacy of fingolimod vs natalizumab: A French multicenter observational study.

Neurology 2016 Feb 29;86(8):771-8. Epub 2016 Jan 29.

Authors' affiliations are listed at the end of the article.

Objective: To compare natalizumab and fingolimod on both clinical and MRI outcomes in patients with relapsing-remitting multiple sclerosis (RRMS) from 27 multiple sclerosis centers participating in the French follow-up cohort Observatoire of Multiple Sclerosis.

Methods: Patients with RRMS included in the study were aged from 18 to 65 years with an Expanded Disability Status Scale score of 0-5.5 and an available brain MRI performed within the year before treatment initiation. The data were collected for 326 patients treated with natalizumab and 303 with fingolimod. The statistical analysis was performed using 2 different methods: logistic regression and propensity scores (inverse probability treatment weighting).

Results: The confounder-adjusted proportion of patients with at least one relapse within the first and second year of treatment was lower in natalizumab-treated patients compared to the fingolimod group (21.1% vs 30.4% at first year, p = 0.0092; and 30.9% vs 41.7% at second year, p = 0.0059) and supported the trend observed in nonadjusted analysis (21.2% vs 27.1% at 1 year, p = 0.0775). Such statistically significant associations were also observed for gadolinium (Gd)-enhancing lesions and new T2 lesions at both 1 year (Gd-enhancing lesions: 9.3% vs 29.8%, p < 0.0001; new T2 lesions: 10.6% vs 29.6%, p < 0.0001) and 2 years (Gd-enhancing lesions: 9.1% vs 22.1%, p = 0.0025; new T2 lesions: 16.9% vs 34.1%, p = 0.0010) post treatment initiation.

Conclusion: Taken together, these results suggest the superiority of natalizumab over fingolimod to prevent relapses and new T2 and Gd-enhancing lesions at 1 and 2 years.

Classification Of Evidence: This study provides Class IV evidence that for patients with RRMS, natalizumab decreases the proportion of patients with at least one relapse within the first year of treatment compared to fingolimod.
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http://dx.doi.org/10.1212/WNL.0000000000002395DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4763805PMC
February 2016

Switching from natalizumab to fingolimod in multiple sclerosis: a French prospective study.

JAMA Neurol 2014 Apr;71(4):436-41

Department of Neurology, University Hospital of Nice, Nice, France.

Importance: The safety and efficacy of switching from natalizumab to fingolimod have not yet been evaluated in a large cohort of patients with multiple sclerosis (MS) to our knowledge.

Objective: To collect data from patients with MS switching from natalizumab to fingolimod.

Design, Setting, And Participants: The Enquête Nationale sur l'Introduction du Fingolimod en Relais au Natalizumab (ENIGM) study, a survey-based, observational multicenter cohort study among MS tertiary referral centers. Participants were patients for whom a switch from natalizumab to fingolimod was planned. Clinical data were collected on natalizumab treatment, duration and management of the washout period (WP), and relapse or adverse events during the WP and after the initiation of fingolimod.

Main Outcomes And Measures: Occurrence of MS relapse during the WP or during a 6-month follow-up period after the initiation of fingolimod.

Results: Thirty-six French MS tertiary referral centers participated. In total, 333 patients with MS switched from natalizumab to fingolimod after a mean of 31 natalizumab infusions (female to male ratio, 2.36; mean age, 41 years; and Expanded Disability Status Scale score at the initiation of natalizumab, 3.6). Seventy-one percent were seropositive for the JC polyomavirus. The Expanded Disability Status Scale score remained stable for patients receiving natalizumab. Twenty-seven percent of patients relapsed during the WP. A WP shorter than 3 months was associated with a lower risk of relapse (odds ratio, 0.23; P = .001) and with less disease activity before natalizumab initiation (P = .03). Patients who stopped natalizumab because of poor tolerance or lack of efficacy also had a higher risk of relapse (odds ratio, 3.20; P = .004). Twenty percent of patients relapsed during the first 6 months of fingolimod therapy. Three percent stopped fingolimod for efficacy, tolerance, or compliance issues. In the multivariate analysis, the occurrence of relapse during the WP was the only significant prognostic factor for relapse during fingolimod therapy (odds ratio, 3.80; P = .05).

Conclusions And Relevance: In this study, switching from natalizumab to fingolimod was associated with a risk of MS reactivation during the WP or shortly after fingolimod initiation. The WP should be shorter than 3 months.
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http://dx.doi.org/10.1001/jamaneurol.2013.6240DOI Listing
April 2014

MRI and magnetic resonance angiography findings in patients with multiple sclerosis mimicked by stroke.

J Clin Neurosci 2013 Aug 17;20(8):1163-4. Epub 2013 May 17.

Department of Neurology, Amiens University Hospital, Amiens, France.

We report a 45-year-old woman who presented with a first demyelinating event with abnormalities seen on both MRI and magnetic resonance angiography that were highly suggestive of acute ischemic stroke. This report highlights the problem of differential diagnosis of acute neurological symptoms in adult subjects.
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http://dx.doi.org/10.1016/j.jocn.2012.09.023DOI Listing
August 2013