Evaluation of patients treated with natalizumab for progressive multifocal leukoencephalopathy

Background: Progressive multifocal leukoencephalopathy (PML) was reported to have developed in three patients treated with natalizumab. We conducted an evaluation to determine whether PML had developed in any other treated patients. Methods: We invited patients who had participated in clinical trials in which they received recent or long-term treatment with natalizumab for multiple sclerosis, Crohn's disease, or rheumatoid arthritis to participate. The clinical history, physical examination, brain magnetic resonance imaging (MRI), and testing of cerebrospinal fluid for JC virus DNA were used by an expert panel to evaluate patients for PML. We estimated the risk of PML in patients who completed at least a clinical examination for PML or had an MRI. Results: Of 3417 patients who had recently received natalizumab while participating in clinical trials, 3116 (91 percent) who were exposed to a mean of 17.9 monthly doses underwent evaluation for PML. Of these, 44 patients were referred to the expert panel because of clinical findings of possible PML, abnormalities on MRI, or a high plasma viral load of JC virus. No patient had detectable JC virus DNA in the cerebrospinal fluid. PML was ruled out in 43 of the 44 patients, but it could not be ruled out in one patient who had multiple sclerosis and progression of neurologic disease because data on cerebrospinal fluid testing and follow-up MRI were not available. Only the three previously reported cases of PML were confirmed (1.0 per 1000 treated patients; 95 percent confidence interval, 0.2 to 2.8 per 1000). Conclusions: A detailed review of possible cases of PML in patients exposed to natalizumab found no new cases and suggested a risk of PML of roughly 1 in 1000 patients treated with natalizumab for a mean of 17.9 months. The risk associated with longer treatment is not known

Impact of fingolimod therapy on magnetic resonance imaging outcomes in patients with multiple sclerosis.

OBJECTIVE: To assess the impact of fingolimod (FTY720) therapy on magnetic resonance imaging measures of inflammatory activity and tissue damage in patients participating in a 2-year, placebo-controlled, phase 3 study. DESIGN: Patients with active relapsing-remitting multiple sclerosis were randomized to receive fingolimod, 0.5 mg; fingolimod, 1.25 mg; or placebo for 2 years. Standardized magnetic resonance imaging scans were obtained at months 0, 6, 12, and 24 and centrally evaluated for number and volume of T1 gadolinium-enhancing, T2 hyperintense, and T1 hypointense lesions and for percentage of brain volume change. Findings were compared across subgroups by treatment and baseline characteristics. SETTING: Worldwide, multicenter clinical trial. PATIENTS: Patients were part of the fingolimod FTY720 Research Evaluating Effects of Daily Oral Therapy in Multiple Sclerosis (FREEDOMS) clinical trial for relapsing-remitting multiple sclerosis (N=1272). MAIN OUTCOME MEASURES: We measured the effect of therapy on acute inflammatory activity, burden of disease, and irreversible loss of brain volume. RESULTS: Fingolimod therapy resulted in rapid and sustained reductions in inflammatory lesion activity as assessed by gadolinium-enhancing and new/newly enlarged T2 lesions after 6, 12, and 24 months of therapy (P.001, all comparisons vs placebo). Changes in T2 hyperintense and T1 hypointense lesion volume also significantly favored fingolimod (P.05, all comparisons). Fingolimod, 0.5 mg (licensed dose), significantly reduced brain volume loss during months 0 to 6, 0 to 12, 12 to 24, and 0 to 24 (P.05, all comparisons) vs placebo, and subgroup analyses confirmed these effects over 2 years irrespective of the presence/absence of gadolinium-enhancing lesions, T2 lesion load, previous treatment status, or level of disability. CONCLUSION: These results, coupled with the significant reductions in relapse rates and disability progression reported previously, support the positive impact on long-term disease evolution. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00289978clinical trial, phase iiijournal articlemulticenter studyrandomized controlled trialresearch support, non-u.s. gov't2012 Octimporte

Incidence of contrast-induced nephropathy with volume supplementation--insights from a large cohort

OBJECTIVE: The present study was performed to determine the effect of combined intravenous and oral volume supplementation on the incidence of contrast-induced nephropathy (CIN) in patients undergoing percutaneous coronary intervention (PCI). SUBJECTS AND METHODS: Consecutive patients (n = 958) receiving iomeprol 350 during PCI were evaluated prospectively for the development of CIN. All patients received protocol-defined intravenous and oral volume supplementation. CIN was defined as an increase in serum creatinine of at least 44 micromol/l within 48 h. RESULTS: Of the 958 patients enrolled in the study, 147 (15%) were diabetic and 107 (11%) had stage III renal disease. The average baseline glomerular filtration rate was 88 +/- 25 ml/min/1.73 m(2). During the intervention an average of 238 +/- 86 ml of contrast medium was administered. CIN developed in 13 of 958 (1.4%; 95% confidence interval 0.6-2.1%) patients. The incidence of CIN was low even in predefined risk subgroups (women: 2.4%, diabetics: 2.7%, patients with stage III kidney disease: 6.5%). CONCLUSIONS: The incidence of CIN is low when preprocedural fluid volume supplementation is used

Spatiotemporal distribution of white matter lesions in relapsing-remitting and secondary progressive multiple sclerosis

Background: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. MS lesions show a typical distribution pattern and primarily affect the white matter (WM) in the periventricular zone and in the centrum semiovale. Objective: To track lesion development during disease progression, we compared the spatiotemporal distribution patterns of lesions in relapsing–remitting MS (RRMS) and secondary progressive MS (SPMS). Methods: We used T1 and T2 weighted MR images of 209 RRMS and 62 SPMS patients acquired on two different 1.5 Tesla MR scanners in two clinical centers followed up for 25 (± 1.7) months. Both cross-sectional and longitudinal differences in lesion distribution between RRMS and SPMS patients were analyzed with lesion probability maps (LPMs) and permutation-based inference. Results: MS lesions clustered around the lateral ventricles and in the centrum semiovale. Cross-sectionally, compared to RRMS patients, the SPMS patients showed a significantly higher regional probability of T1 hypointense lesions (p≤0.03) in the callosal body, the corticospinal tract, and other tracts adjacent to the lateral ventricles, but not of T2 lesions (peak probabilities were RRMS: T1 9%, T2 18%; SPMS: T1 21%, T2 27%). No longitudinal changes of regional T1 and T2 lesion volumes between baseline and follow-up scan were found. Conclusion: The results suggest a particular vulnerability to neurodegeneration during disease progression in a number of WM tracts

MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry

Neuroanatomical pattern classification using support vector machines (SVMs) has shown promising results in classifying Multiple Sclerosis (MS) patients based on individual structural magnetic resonance images (MRI). To determine whether pattern classification using SVMs facilitates predicting conversion to clinically definite multiple sclerosis (CDMS) from clinically isolated syndrome (CIS). We used baseline MRI data from 364 patients with CIS, randomised to interferon beta-1b or placebo. Non-linear SVMs and 10-fold cross-validation were applied to predict converters/non-converters (175/189) at two years follow-up based on clinical and demographic data, lesion-specific quantitative geometric features and grey-matter-to-whole-brain volume ratios. We applied linear SVM analysis and leave-one-out cross-validation to subgroups of converters (n = 25) and non-converters (n = 44) based on cortical grey matter segmentations. Highest prediction accuracies of 70.4% (p = 8e-5) were reached with a combination of lesion-specific geometric (image-based) and demographic/clinical features. Cortical grey matter was informative for the placebo group (acc.: 64.6%, p = 0.002) but not for the interferon group. Classification based on demographic/clinical covariates only resulted in an accuracy of 56% (p = 0.05). Overall, lesion geometry was more informative in the interferon group, EDSS and sex were more important for the placebo cohort. Alongside standard demographic and clinical measures, both lesion geometry and grey matter based information can aid prediction of conversion to CDMS