Background and Objectives: In this critical review, we explore the potential use of MRI measurements as prognostic biomarkers in multiple sclerosis (MS) patients, for both conventional measurements and more novel techniques such as magnetization transfer, diffusion tensor, and proton spectroscopy MRI. Materials and Methods: All authors individually and comprehensively reviewed each of the aspects listed below in PubMed, Medline, and Google Scholar. Results: There are numerous MRI metrics that have been proven by clinical studies to hold important prognostic value for MS patients, most of which can be readily obtained from standard 1.5T MRI scans. Conclusions: While some of these parameters have passed the test of time and seem to be associated with a reliable predictive power, some are still better interpreted with caution. We hope this will serve as a reminder of how vast a resource we have on our hands in this versatile tool—it is up to us to make use of it.

(1) Background: Cognitive impairment (CI) begins early in the evolution of multiple sclerosis (MS) but may only become obvious in the later stages of the disease. Little data is available regarding predictive biomarkers for early, active cognitive decline in relapse remitting MS (RRMS) patients. (2) Methods: 50 RRMS patients in the first 6 months following diagnosis were included. The minimum follow-up was one year. Biomarker samples were collected at baseline, 3-, 6- and 12-month follow-up. Cognitive performance was assessed at baseline and 12-month follow-up; (3) Results: Statistically significant differences were found for patients undergoing active cognitive decline for sNfL z-scores at baseline and 3 months, CSF NfL baseline values, CSF Aβ42 and the Bremso score as well. The logistic regression model based on these 5 variables was statistically significant, χ2(4) = 22.335, p < 0.0001, R2 = 0.671, with a sensitivity of 57.1%, specificity of 97.4%, a positive predictive value of 80% and a negative predictive value of 92.6%. (4) Conclusions: Our study shows that serum biomarkers (adjusted sNfL z-scores at baseline and 3 months) and CSF biomarkers (CSF NfL baseline values, CSF Aβ42), combined with a clinical score (BREMSO), can accurately predict an early cognitive decline for RRMS patients at the moment of diagnosis.

Romania has one of the highest incidences of stroke and one of the highest mortality rates in Europe. The mortality rate due to treatable causes is also very high and is associated with the lowest public spending on healthcare in the European Union. Nonetheless, significant achievements in acute stroke care have been made in Romania in the last 5 years, most notably the increase of the national thrombolysis rate from 0.8% to 5.4%. Numerous educational workshops and constant communication with the stroke centers led to a solid and active stroke network. Due to the joint efforts of this stroke network and the ESO-EAST project, the quality of stroke care has significantly improved. However, Romania still faces many problems: a major lack of specialists in interventional neuroradiology and consequently a low number of stroke patients treated by thrombectomy and carotid revascularization procedures, a low number of neuro-rehabilitation centers and a country-wide lack of neurologists.

(1) Background: Early disability accrual in RRMS patients is frequent and is associated with worse long-term prognosis. Correctly identifying the patients that present a high risk of early disability progression is of utmost importance, and may be aided by the use of predictive biomarkers. (2) Methods: We performed a prospective cohort study that included newly diagnosed RRMS patients, with a minimum follow-up period of one year. Biomarker samples were collected at baseline, 3-, 6- and 12-month follow-ups. Disability progression was measured using the EDSS-plus score. (3) Results: A logistic regression model based on baseline and 6-month follow-up sNfL z-scores, RNFL and GCL-IPL thickness and BREMSO score was statistically significant, with χ2(4) = 19.542, p < 0.0001, R2 = 0.791. The model correctly classified 89.1% of cases, with a sensitivity of 80%, a specificity of 93.5%, a positive predictive value of 85.7% and a negative predictive value of 90.62%. (4) Conclusions: Serum biomarkers (adjusted sNfL z-scores at baseline and 6 months) combined with OCT metrics (RNFL and GCL-IPL layer thickness) and the clinical score BREMSO can accurately predict early disability progression using the EDSS-plus score for newly diagnosed RRMS patients.

Introduction: Evidence regarding the benefit of endovascular therapy (EVT) in patients with acute ischemic stroke (AIS) due to isolated cervical internal carotid artery occlusion (c-ICA-O) is lacking. We assessed the outcomes and safety of EVT in patients with isolated c-ICA-O. Methods: Retrospective multicenter cohort study of patients with an AIS due to isolated c-ICA-O, within 24-h since last-seen-well. Comparisons were made between EVT and best medical therapy (BMT). The primary outcome was 3-months modified Rankin Scale (mRS) ordinal shift. Secondary outcomes included 3-month favorable outcome (mRS 0–2, or return to pre-stroke mRS), symptomatic intracranial hemorrhage (sICH) and any parenchymal hemorrhage. Outcomes were compared combining inverse probability of treatment weighting with regression models and propensity score matching (PSM) as sensitivity analysis. Results: We analyzed 998 patients (66.2% male, mean age 71.1 ± 13.2 years). 487 (48.8%) patients received EVT and 511 (51.2%) received BMT. Patients receiving EVT had a higher admission NIHSS [13 (7–18) vs 5 (2–13)] compared to BMT. There was no difference between EVT and BMT groups in 3-month mRS shift (adjusted common odds ratio [OR], 1.01 [95% CI 0.76–1.34]) and favorable outcome (adjusted OR [aOR] 1.16 [95% CI 0.84–1.60]). No patient (0%) in the BMT group had sICH versus 1.6% in the EVT group. Parenchymal hemorrhage was numerically higher in EVT patients (2.7% vs 0.6%; aOR 3.85 [95% CI 0.98–15.23]). PSM analysis revealed similar results. Discussion and conclusion: In patients with isolated c-ICA-O, EVT was associated with similar odds of disability and intracranial bleeding compared to BMT. Randomized-controlled clinical trials in patients with isolated c-ICA-O are warranted.

Disability accumulation in multiple sclerosis often occurs independent of relapses and inflammatory activity, yet reliable predictors for early progression remain limited. Our aim was to evaluate the utility of baseline fluid and optical coherence tomography (OCT) biomarkers for predicting early disability progression in newly diagnosed relapsing–remitting MS (RRMS). We performed a monocentric observational cohort study on 72 RRMS patients that were enrolled within 6 months of diagnosis and followed for 2 years. Baseline serum and cerebrospinal fluid (CSF) samples were analyzed for neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP) and chitinase-3-like protein 1 (CHI3L1). Confirmed disability progression at 1 year (1yCDP) was defined by either an increase in Expanded Disability Status Scale or a ≥20% worsening on Nine-Hole Peg Test or Timed 25-Foot Walk. Seventeen patients (23.6%) developed 1yCDP. Elevated baseline CSF GFAP (OR = 5.79, 95% CI 1.72–19.45; p = 0.005) and CSF CHI3L1 thickness (OR = 4.14, 95% CI 1.49–11.49; p = 0.006) and reduced ganglion cell-inner plexiform layer (GCIPL) thickness (OR = 0.90, 95% CI 0.84–0.97; p = 0.006) independently predicted 1yCDP. A multivariate model including age, CSF GFAP and GCIPL achieved AUC = 0.831, with a sensitivity of 87.5% and specificity of 61.5%. This study provides evidence that baseline patient profiling using CSF GFAP, CSF CHI3L1 and GCIPL thickness may help predict early disability progression in RRMS.