Chronic migraine long-term regular treatment with onabotulinumtoxinA: a retrospective real-life observational study up to 4 years of therapy

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Treatment modifiers across different regimens of natalizumab treatment in MS: An Italian real-world experience

despite its widespread use in clinical practice, the effectiveness of natalizumab extended interval dosing (EID) adopted from treatment start across different treatment intervals and individual modifiers (body mass index BMI) is still under-investigated. here, seven-hundred and forty-five multiple sclerosis (MS) patients, exposed to natalizumab for 3.30 +/- 1.34 years, were retrospectively enrolled in an observational multicenter study. after stratifying patients in EID or standard interval dosing (SID), we assessed differences in time to relapse, MRI activity and expanded disability status scale (EDSS) progression. the primary analysis was conducted on patients exposed to EID interval from 5 weeks and 1 day to 7 weeks, while a secondary analysis included also EID periods up to 8 weeks. an additional analysis explored the impact of BMI. no differences in time to first relapse, time to radiological activity, time to EDSS progression or time to EDA (evidence of disease activity) were detected between SID and EID group (EID interval from 5 weeks to 1 day to 7 weeks). when including EID periods from 7 weeks and 1 day to 8 weeks, the EID group showed a trend towards higher risk of experience clinical relapses than the SID group. a higher EDA risk was also identified in EID patients with BMI above median. In conclusion, a higher risk of relapses seems to occur for EID above 7 weeks. Independently from the EID scheme adopted, higher BMI increases the risk of EDA in these patients

High Specificity of Quantitative Methylation-Specific PCR Analysis for MGMT Promoter Hypermethylation Detection in Gliomas

Normal brain tissue from 28 individuals and 50 glioma samples were analyzed by real-time Quantitative Methylation-Specific PCR (QMSP). Data from this analysis were compared with results obtained on the same samples by MSP. QMSP analysis demonstrated a statistically significant difference in both methylation level (P = .000009 Mann Whitney Test) and frequencies (P = .0000007, Z-test) in tumour samples as compared with normal brain tissues. Although QMSP and MSP showed similar sensitivity, the specificity of QMSP analysis was significantly higher (93%; CI95%: 84%–100%) as compared with MSP (64%; 95%CI: 46%–82%). Our results suggest that QMSP analysis may represent a powerful tool to identify glioma patients that will benefit from alkylating agents chemotherapy

Statin treatment and mortality in community-dwelling frail older patients with diabetes mellitus

Background: Older adults are often excluded from clinical trials. Decision making for administration of statins to older patients with diabetes mellitus (DM) is under debate, particularly in frail older patients with comorbidity and high mortality risk. We tested the hypothesis that statin treatment in older patients with DM was differentially effective across strata of mortality risk assessed by the Multidimensional Prognostic Index (MPI), based on information collected with the Standardized Multidimensional Assessment Schedule for Adults and Aged Persons (SVaMA). Methods: In this retrospective observational study, we estimated the mortality risk in 1712 community-dwelling subjects with DM ≥ 65 years who underwent a SVaMA evaluation to establish accessibility to homecare services/nursing home admission from 2005 to 2013 in the Padova Health District, Italy. Mild (MPI-SVaMA-1), moderate (MPI-SVaMA-2), and high (MPI-SVaMA-3) risk of mortality at baseline and propensity score-adjusted hazard ratios (HR) of three-year mortality were calculated according to statin treatment. Results: Higher MPI-SVaMA scores were associated with lower rates of statin treatment (MPI-SVaMA-1 = 39% vs MPI-SVaMA-2 = 36% vs MPI-SVaMA-3 = 24.9%. p<0.001) and higher three-year mortality (MPI-SVaMA-1 = 12.9% vs MPI-SVaMA-2 = 24% vs MPI-SVaMA-3 = 34.4%, p<0.001). After adjustment for propensity score quintiles, statin treatment was significantly associated with lower three-year mortality irrespective of MPI-SVaMA group (interaction test p = 0.303). HRs [95% confidence interval (CI)] were 0.19 (0.14-0.27), 0.28 (0.21-0.36), and 0.26 (0.20-0.34) in the MPI-SVaMA-1, MPI-SVaMA-2, and MPI-SVaMA-3 groups, respectively. Subgroup analyses showed that statin treatment was also beneficial irrespective of age. HRs (95% CI) were 0.21 (0.15-0.31), 0.26 (0.20-0.33), and 0.26 (0.20-0.35) among patients aged 65-74, 75-84, and ≥ 85 years, respectively (interaction test p=0.812). Conclusions: Statin treatment was significantly associat

Multimodal structural MRI in the diagnosis of motor neuron diseases

This prospective study developed an MRI-based method for identification of individual motor neuron disease (MND) patients and test its accuracy at the individual patient level in an independent sample compared with mimic disorders. 123 patients with amyotrophic lateral sclerosis (ALS), 44 patients with predominantly upper motor neuron disease (PUMN), 20 patients with ALS-mimic disorders, and 78 healthy controls were studied. The diagnostic accuracy of precentral cortical thickness and diffusion tensor (DT) MRI metrics of corticospinal and motor callosal tracts were assessed in a training cohort and externally proved in a validation cohort using a random forest analysis. In the training set, precentral cortical thickness showed 0.86 and 0.89 accuracy in differentiating ALS and PUMN patients from controls, while DT MRI distinguished the two groups from controls with 0.78 and 0.92 accuracy. In ALS vs controls, the combination of cortical thickness and DT MRI metrics (combined model) improved the classification pattern (0.91 accuracy). In the validation cohort, the best accuracy was reached by DT MRI (0.87 and 0.95 accuracy in ALS and PUMN vs mimic disorders). The combined model distinguished ALS and PUMN patients from mimic syndromes with 0.87 and 0.94 accuracy. A multimodal MRI approach that incorporates motor cortical and white matter alterations yields statistically significant improvement in accuracy over using each modality separately in the individual MND patient classification. DT MRI represents the most powerful tool to distinguish MND from mimic disorders. Keywords: Motor neuron disease, Amyotrophic lateral sclerosis, Diagnosis, MRI, Random forest analysi

Effect of Obesity, Serum Lipoproteins, and Apolipoprotein E Genotypes on Mortality in Hospitalized Elderly Patients

BACKGROUND: The aim of this study was to investigate the relationship among apolipoprotein E (APOE) polymorphism, body mass index (BMI), and dyslipidemia and how these factors modify overall mortality in a cohort of hospitalized elderly patients. METHODS: Plasma concentrations of total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), BMI, and APOE genotype were evaluated in 1,012 hospitalized elderly patients, who were stratified into three groups according to their baseline BMI and APOE allele status. Multivariate logistic regression analysis was used to assess whether APOE genotype, BMI, and dyslipidemia are associated with mortality, adjusting for potential confounders. Interaction analysis was also performed. RESULTS: Obese patients have significantly higher levels of TC and LDL-C compared to normal-weight and overweight subjects, for both sexes. APOE ε4 carriers have significantly higher levels of TC and LDL-C compared with ε2 and ε3 carrier both in males and females. Interaction analysis showed that women with TC < 180  mg/dL, LDL-C < 100  mg/dL, normal weight, and ε3 carrier (odds ratio [OR] = 3.42, 95% confidence interval [CI] 1.36-8.60) and men with LDL-C < 100  mg/dL, HDL-C < 40  mg/dL, and ε3 carrier (OR = 1.97, 95% CI 1.04-3.74) were at highest risk of mortality. CONCLUSIONS: In elderly hospitalized patients, obesity and APOE genotype influence the lipid profile and mortality risk. A significant interaction among BMI, dyslipidemia, and APOE genotype was observed that could identify elderly patients with different risks of mortality