Sars-CoV2 infection in pregnant women with multiple sclerosis.

BACKGROUND: In the general population, maternal SARS-CoV-2 infection during pregnancy is associated with worse maternal outcomes; however, only one study so far has evaluated COVID-19 clinical outcomes in pregnant and postpartum women with multiple sclerosis, showing no higher risk for poor COVID-19 outcomes in these patients. OBJECTIVE: In this multicenter study, we aimed to evaluate COVID-19 clinical outcomes in pregnant patients with multiple sclerosis. METHODS: We recruited 85 pregnant patients with multiple sclerosis who contracted COVID-19 after conception and were prospectively followed-up in Italian and Turkish Centers, in the period 2020-2022. A control group of 1354 women was extracted from the database of the Multiple Sclerosis and COVID-19 (MuSC-19). Univariate and subsequent logistic regression models were fitted to search for risk factors associated with severe COVID-19 course (at least one outcome among hospitalization, intensive care unit [ICU] admission and death). RESULTS: In the multivariable analysis, independent predictors of severe COVID-19 were age, body mass index ⩾ 30, treatment with anti-CD20 and recent use of methylprednisolone. Vaccination before infection was a protective factor. Vaccination before infection was a protective factor. Pregnancy was not a risk nor a protective factor for severe COVID-19 course. CONCLUSION: Our data show no significant increase of severe COVID-19 outcomes in patients with multiple sclerosis who contracted the infection during pregnancy.

The effect of air pollution on COVID-19 severity in a sample of patients with multiple sclerosis.

BACKGROUND AND PURPOSE: Some studies have shown that air pollution, often assessed by thin particulate matter with diameter below 2.5 µg/m3 (PM2.5), may contribute to severe COVID-19 courses, as well as play a role in the onset and evolution of multiple sclerosis (MS). However, the impact of air pollution on COVID-19 has never been explored specifically amongst patients with MS (PwMS). This retrospective observational study aims to explore associations between PM2.5 and COVID-19 severity amongst PwMS. METHODS: Data were retrieved from an Italian web-based platform (MuSC-19) which includes PwMS with COVID-19. PM2.5 2016-2018 average concentrations were provided by the Copernicus Atmospheric Monitoring Service. Italian patients inserted in the platform from 15 January 2020 to 9 April 2021 with a COVID-19 positive test were included. Ordered logistic regression models were used to study associations between PM2.5 and COVID-19 severity. RESULTS: In all, 1087 patients, of whom 13% required hospitalization and 2% were admitted to an intensive care unit or died, were included. Based on the multivariate analysis, higher concentrations of PM2.5 increased the risk of worse COVID-19 course (odds ratio 1.90; p = 0.009). CONCLUSIONS: Even if several other factors explain the unfavourable course of COVID-19 in PwMS, the role of air pollutants must be considered and further investigated.

Signs and symptoms of COVID-19 in patients with multiple sclerosis.

BACKGROUND AND PURPOSE: Clinical outcomes of multiple sclerosis (MS) patients affected by coronavirus disease 2019 (COVID-19) have been thoroughly investigated, but a further analysis on main signs and symptoms and their risk factors still needs attention. The objective of this study was to group together and describe based on similarity the most common signs and symptoms of COVID-19 in MS patients and identify all factors associated with their manifestation. METHOD: Logistic and linear regression models were run to recognize factors associated with each pooled group of symptoms and their total number. RESULTS: From March 2020 to November 2021, data were collected from 1354 MS patients with confirmed infection of COVID-19. Ageusia and anosmia was less frequent in older people (odds ratio [OR] 0.98; p = 0.005) and more in smoker patients (OR 1.39; p = 0.049). Smoke was also associated with an incremental number of symptoms (OR 1.24; p = 0.031), substance abuse (drugs or alcohol), conjunctivitis and rash (OR 5.20; p = 0.042) and the presence of at least one comorbidity with shortness of breath, tachycardia or chest pain (OR 1.24; p = 0.008). Some disease-modifying therapies were associated with greater frequencies of certain COVID-19 symptoms (association between anti-CD20 therapies and increment in the number of concomitant symptoms: OR 1.29; p = 0.05). Differences in frequencies between the three waves were found for flu-like symptoms (G1, p = 0.024), joint or muscle pain (G2, p = 0.013) and ageusia and anosmia (G5, p < 0.001). All cases should be referred to variants up to Delta. CONCLUSION: Several factors along with the choice of specific therapeutic approaches might have a different impact on the occurrence of some COVID-19 symptoms.

Natalizumab is associated with early improvement of working ability in relapsing-remitting multiple sclerosis patients: WANT observational study results.

BACKGROUND: The Work Ability in Natalizumab-Treated MS Patients (WANT) study assessed work ability, quality of life, and cognitive processing speed during natalizumab treatment. METHODS: WANT was a 1-year, prospective, multicenter observational study conducted in Italy. Inclusion criteria included relapsing-remitting multiple sclerosis (MS), natalizumab treatment, full-time worker status, and loss of working hours due to MS as measured by the Work Productivity and Activity Impairment Questionnaire for MS (WPAI:MS). The primary endpoint was change in WPAI:MS domain scores after 1 year on natalizumab. Secondary endpoints included change in annualized relapse rate (ARR), Multiple Sclerosis Impact Scale (MSIS-29) score, and Symbol Digit Modalities Test (SDMT) score. RESULTS: At enrollment, the 91 patients had a mean age of 38.3 (standard deviation [SD], 9.0) years and a mean ARR of 1.5 (SD, 0.8). After 1 year, improvements were observed in all WPAI:MS domains, with significant reductions in Absenteeism (-4.2 [SD, 26.0], p = 0.0190) and Work Productivity Loss (-7.2 [SD, 28.6]; p = 0.0456). These changes were accompanied by a low ARR (0.1), and 87.9% of patients were relapse free. Significant improvement was observed in MSIS-29 physical and psychological domains (reductions of 2.8 [SD, 11.6; p = 0.0295] and 6.3 [SD, 15.6; p = 0.0007], respectively) and SDMT score (increase of 2.4 [SD, 7.9; p = 0.0006]). Adverse events were reported in 32 of 104 patients (30.8%). CONCLUSIONS: The reductions in Absenteeism and Work Productivity Loss and the improved physical and psychological functioning reported after 1 year of natalizumab treatment in real-world settings extend our understanding of natalizumab's effects on patient-centric and health economics outcomes.

Long-term follow-up of pediatric MS patients starting treatment with injectable first-line agents: A multicentre, Italian, retrospective, observational study.

BACKGROUND: Few data are available on very long-term follow-up of pediatric multiple sclerosis (MS) patients treated with disease modifying treatments (DMTs). OBJECTIVES: To present a long-term follow-up of a cohort of Pediatric-MS patients starting injectable first-line agents. METHODS: Data regarding treatments, annualized relapse rate (ARR), Expanded Disability Status Scale (EDSS) score, and serious adverse event were collected. Baseline characteristics were tested in multivariate analysis to identify predictors of disease evolution. RESULTS: In total, 97 patients were followed for 12.5 ± 3.3 years. They started therapy at 13.9 ± 2.1 years, 88 with interferons and 9 with copaxone. During the whole follow-up, 82 patients changed therapy, switching to immunosuppressors/second-line treatment in 58% of cases. Compared to pre-treatment phase, the ARR was significantly reduced during the first treatment (from 3.2 ± 2.6 to 0.7 ± 1.5, p < 0.001), and it remained low during the whole follow-up (0.3 ± 0.2, p < 0.001). At last observation, 40% had disability worsening, but EDSS score remained <4 in 89%. One patient died at age of 23 years due to MS. One case of natalizumab-related progressive multifocal encephalopathy (PML) was recorded. Starting therapy before 12 years of age resulted in a better course of disease in multivariate analysis. CONCLUSION: Pediatric-MS patients benefited from interferons/copaxone, but the majority had to switch to more powerful drugs. Starting therapy before 12 years of age could lead to a more favorable outcome.

Health-related quality of life in clinically isolated syndrome and risk of conversion to multiple sclerosis.

BACKGROUND AND OBJECTIVES: A few studies have found that low scores on self-rated health and quality of life measures are associated with following worsening disability in multiple sclerosis (MS). We wanted to estimate the association between self-rated quality of life scores among patients with clinically isolated syndrome (CIS) and the risk of subsequent conversion to definite MS. METHODS: One hundred sixty-two patients from the GERONIMUS cohort with a symptom or sign suggestive of MS and without a definite diagnosis of MS at the time of inclusion were asked to evaluate their health-related quality of life according to MSQoL-54 scale. They were clinically assessed and mood and depression scales were applied. The association between the scores of these scales and the risk of converting to definite MS during a 5-year follow-up was estimated using the Cox- proportional hazard regression model. RESULTS: Quality of life at examination was significantly lower compared to those of an age- and sex-adjusted general Italian population. During the follow-up, 116 patients (72%) converted to definite MS. No significant predictive effects were found for the summary scales of MSQol-54 or other scales. The estimates did not change after adjusting for age, sex, BMI, education, MRI findings, Expanded Disability Status Scale (EDSS) score, and treatment at time of examination. CONCLUSION: Persons with CIS in this cohort reported reduced self-rated quality of life compared to the general population, but variation in these scores was not associated with subsequent conversion from CIS to clinical definite MS.

Cannabis-Based Products in a Neurological Setting: A Clinical and Pharmacokinetic Survey.

Background and Aim: Limited data are available in clinical settings on the pharmacokinetics of delta-9-tetrahydrocannabinol (THC) and cannabidiol (CBD). We investigated the use of cannabis-based products in neurological practice, monitoring patients' steady-state cannabinoids (CBs) plasma concentrations matched with different preparations. Methods: This was a prospective, single-center, observational study. Patients underwent venous blood withdrawal before the CBs' morning dose and then 2.5 h post-dosing. Spasticity or pain were patient self-assessed by the Numeric Rating Scale (NRS) before the morning CB's administration and 2.5 h post-dosing. Results: Thirty-three patients were enrolled. Main indications for CBs were spasticity and chronic pain. Sixteen patients were treated with oromucosal spray formulation Sativex® and 17 with oil-based solutions. Both CBs trough plasma concentrations were ≤ limit of detection (0.1 ng/ml) in 45% of patients. Intrasubject CB's plasma levels significantly increased over baseline values in patients treated with Bediol® oil (p < 0.05) and Sativex® (p < 0.01). Post-dosing CB's bioavailability did not significantly differ between oral oil and oromucosal spray. NRS scores decreased (p < 0.01), matching the increase (p < 0.01) in CB's plasma concentrations. Conclusion: This is the first study investigating CB's plasma concentrations of oral and oromucosal preparations in real-world neurological practice. Findings of similar bioavailability for both CBD and THC after galenic oil compared with oromucosal spray dosing may be clinically relevant and deserve additional research in larger cohorts.

COVID-19 Severity in Multiple Sclerosis: Putting Data Into Context.

BACKGROUND AND OBJECTIVES: It is unclear how multiple sclerosis (MS) affects the severity of COVID-19. The aim of this study is to compare COVID-19-related outcomes collected in an Italian cohort of patients with MS with the outcomes expected in the age- and sex-matched Italian population. METHODS: Hospitalization, intensive care unit (ICU) admission, and death after COVID-19 diagnosis of 1,362 patients with MS were compared with the age- and sex-matched Italian population in a retrospective observational case-cohort study with population-based control. The observed vs the expected events were compared in the whole MS cohort and in different subgroups (higher risk: Expanded Disability Status Scale [EDSS] score > 3 or at least 1 comorbidity, lower risk: EDSS score ≤ 3 and no comorbidities) by the χ2 test, and the risk excess was quantified by risk ratios (RRs). RESULTS: The risk of severe events was about twice the risk in the age- and sex-matched Italian population: RR = 2.12 for hospitalization (p < 0.001), RR = 2.19 for ICU admission (p < 0.001), and RR = 2.43 for death (p < 0.001). The excess of risk was confined to the higher-risk group (n = 553). In lower-risk patients (n = 809), the rate of events was close to that of the Italian age- and sex-matched population (RR = 1.12 for hospitalization, RR = 1.52 for ICU admission, and RR = 1.19 for death). In the lower-risk group, an increased hospitalization risk was detected in patients on anti-CD20 (RR = 3.03, p = 0.005), whereas a decrease was detected in patients on interferon (0 observed vs 4 expected events, p = 0.04). DISCUSSION: Overall, the MS cohort had a risk of severe events that is twice the risk than the age- and sex-matched Italian population. This excess of risk is mainly explained by the EDSS score and comorbidities, whereas a residual increase of hospitalization risk was observed in patients on anti-CD20 therapies and a decrease in people on interferon.

A multiparametric score for assessing the individual risk of severe Covid-19 among patients with Multiple Sclerosis.

BACKGROUND: Many risk factors for the development of severe forms of Covid-19 have been identified, some applying to the general population and others specific to Multiple Sclerosis (MS) patients. However, a score for quantifying the individual risk of severe Covid-19 in patients with MS is not available. The aim of this study was to construct such score and to evaluate its performance. METHODS: Data on patients with MS infected with Covid-19 in Italy, Turkey and South America were extracted from the Musc-19 platform. After imputation of missing values, data were separated into training data set (70%) and validation data set (30%). Univariable logistic regression models were performed in the training dataset to identify the main risk factors to be included in the multivariable logistic regression analyses. To select the most relevant variables we applied three different approaches: (1) multivariable stepwise, (2) Lasso regression, (3) Bayesian model averaging. Three scores were defined as the linear combination of the coefficients estimated in the models multiplied by the corresponding value of the variables and higher scores were associated to higher risk of severe Covid-19 course. The performances of the three scores were compared in the validation dataset based on the area under the ROC curve (AUC) and an optimal cut-off was calculated in the training dataset for the score with the best performance. The probability of showing a severe Covid-19 course was calculated based on the score with the best performance. RESULTS: 3852 patients were included in the study (2696 in the training dataset and 1156 in the validation data set). 17% of the patients required hospitalization and risk factors for severe Covid-19 course were older age, male sex, living in Turkey or South America instead of living in Italy, presence of comorbidities, progressive MS, longer disease duration, higher Expanded Disability Status Scale, Methylprednisolone use and anti-CD20 treatment. The score with the best performance was the one derived using the Lasso selection approach (AUC= 0.72) and it was built with the following variables: age, sex, country, BMI, presence of comorbidities, EDSS, methylprednisolone use, treatment. An excel spreadsheet to calculate the score and the probability of severe Covid-19 is available at the following link: https://osf.io/ac47u/?view_only=691814d57b564a34b3596e4fcdcf8580. CONCLUSIONS: The originality of this study consists in building a useful tool to quantify the individual risk for Covid-19 severity based on patient's characteristics. Due to the modest predictive ability and to the need of external validation, this tool is not ready for being fully used in clinical practice to make important decisions or interventions. However, it can be used as an additional instrument to identify high-risk patients and persuade them to take important measures to prevent Covid-19 infection (i.e. getting vaccinated against Covid-19, adhering to social distancing, and using of personal protection equipment).

The impact of PM2.5, PM10 and NO2 on Covid-19 severity in a sample of patients with multiple sclerosis: A case-control study.

BACKGROUND: Many studies investigated the association between air pollution and Covid-19 severity but the only study focusing on patients with Multiple Sclerosis (MS) exclusively evaluated exposure to PM2.5. We aim to study, in a sample of MS patients, the impact of long-term exposure to PM2.5, PM10 and NO2 on Covid-19 severity, described as occurrence of pneumonia. METHODS: A 1:2 ratio case-control study was designed, differentiating cases and controls based on Covid-19 pneumonia. Associations between pollutants and outcome were studied using logistic regression. Weighted quantile sum (WQS) logistic regression was used to identify the individual contribution of each pollutant within the mixture; Least Absolute Shrinkage and Selection Operator (LASSO) penalized regression was performed to confirm the variable selection from WQS. All the analyses were adjusted for confounders selected a priori. RESULTS: Of the 615 eligible patients, 491 patients provided detailed place of exposure and were included in the principal analysis. Higher concentrations of air pollutants were associated with increased odds of developing Covid-19 pneumonia (PM2.5: 3rd vs 1st tercile OR(95% CI)=2.26(1.29;3.96); PM10: 3rd vs 1st tercile OR(95% CI)=2.12(1.22;3.68); NO2: 3rd vs 1st tercile OR(95% CI)=2.12(1.21;3.69)). Pollutants were highly correlated with each other; WQS index was associated to an increased risk of pneumonia (ß=0.44; p-value=0.004) and the main contributors to this association were NO2 (41%) and PM2.5 (34%). Consistently, Lasso method selected PM2.5 and NO2. CONCLUSIONS: Higher long-term exposure to PM2.5, PM10 and NO2 increased the odds of Covid-19 pneumonia among MS patients and the most dangerous pollutants were NO2 and PM2.5.

Teeth loss after teriflunomide treatment: Casual or causal? A short case series.

BACKGROUND: Teriflunomide is a once-daily oral immunomodulator approved for the treatment of relapsing-remitting multiple sclerosis (RRMS) with a consistent safety profile in clinical trials. We report three cases of multiple teeth loss during teriflunomide treatment. CASE REPORTS: Case 1: a 39 year-old woman started teriflunomide for RRMS, switching from interferon beta. Four months later she complained about mandibular pain followed by the sudden loss of 4 teeth, in the absence of bleeding or trauma. Suspecting a causal role, we discontinued teriflunomide and started the accelerated elimination procedure with cholestyramine. Orthopantomography and a subsequent dental CT scan showed diffuse alveolar atrophy and periapical bone loss in several residual roots. Investigating retrospectively the patient's dental history, and revising previous orthopantomographies dating from 2009, we highlighted a chronic and progressive dental pathology with several cavities and teeth loss. Case 2: A 52-year-old woman affected by multiple sclerosis (MS) since 1988, switched from interferon beta to teriflunomide treatment due to poor tolerability. One year later she experienced the sudden loss of five teeth in the absence of traumatic events. Dental assessment and orthopantomography confirmed moderate chronic periodontitis. Teriflunomide was discontinued and the accelerated elimination procedure with cholestyramine was performed. Case 3: A 56-year-old woman affected by MS for thirty years. She switched from interferon beta to teriflunomide due to injection site reactions. After eighteen months she experienced hypermobility of several teeth without gum inflammation or pain, followed by sudden loss of twelve teeth. No dental examination is available. Teriflunomide was discontinued without accelerated elimination procedure. DISCUSSION: Odontogenic infections (periodontal disease and dental caries) are common and can cause teeth loss if left untreated as in case 1. It is conceivable that local infections favoured by teriflunomide accelerated pulpitis, endodontic infections and periapical reactions followed by teeth loss in predisposed subjects. Poor oral hygiene is common in MS patients and might favour dental infections. CONCLUSIONS: We underline the importance to assess concomitant teeth morbidity and to recommend accurate oral hygiene before and during teriflunomide treatment.

Tetrahydrocannabinol/Cannabidiol Oromucosal Spray in Patients With Multiple Sclerosis: A Pilot Study on the Plasma Concentration-Effect Relationship.

OBJECTIVES: We aimed to assess the potential relationship between intrasubject 9-tetrahydrocannabinol/cannabidiol (THC/CBD) oromucosal spray plasma profiles and clinical effects elicited by subacute dosing in chronically treated patients with multiple sclerosis (MS). METHODS: The study design was pilot, single center, open, and prospective. The patients were challenged with a morning test dose of 2 THC/CBD sprays at a 15-minute interval. Venous blood samples were collected before the first spray administration and every 30 minutes after the second spray, until 240 minutes postdosing. Patients rated their spasticity by the Numerical Rating Scale (NRS) simultaneously with blood drawings. Postural and motor tests were performed before the first spray and 90 and 180 minutes thereafter. RESULTS: Twelve patients were recruited. Peak plasma concentrations of THC/CBD largely varied among patients, from 0.60 to 13.29 ng/mL for THC and 0.55 to 11.93 ng/mL for CBD. Time to peak plasma concentrations ranged from 150 to 240 minutes for THC and 90 to 240 minutes for CBD. Patients' NRS serial scores decreased after dosing, from a median value of 6 to 3.5 (P < 0.001). A significant inverse correlation was observed between median intrasubject repeated NRS scores and corresponding median values of both THC (P < 0.01) and CBD (P < 0.002) plasma concentrations. No significant effect of cannabinoids dosing could be appreciated according to posturographic and motor tests. CONCLUSIONS: Our kinetic dynamic findings from THC/CBD oromucosal spray are the first obtained in real MS patients. Although preliminary, they suggest that subacute dosing might elicit a subjective clinically significant effect on MS-related spasticity, paralleling cannabinoids measurable plasma concentrations.

An expert system for the evaluation of EDSS in multiple sclerosis.

Multiple sclerosis is a disease of unknown aetiology. Despite several advances in therapy in recent years, some problems such as the prognostic criteria are imperfectly understood. Several experimental trials of therapy in multiple sclerosis are in course in order to discover a successful treatment. Most of these research studies use a clinical rating scale named Expanded Disability Status Scale (EDSS) as an evaluation tool for the effects of drugs. This scale is defined by a set of rules written in English which provide a numerical quantification of the neurological examination. Although EDSS has been widely used for almost 20 years, its application still depends on the interpretation of the neurologist who performs the neurological examination, and many applications of the scale performed by different neurologist on the same patient can give different results. This is a serious problem for international trials because they lack of a reliable measure of the effects of drugs. Here, we present an expert system for the automatic evaluation of EDSS in multiple sclerosis, which has been developed to overcome this problem. The expert system exploits an explicit representation of EDSS rules, it is able to explain its conclusions and it provides a revision tool to support the user if no satisfying solution can be reached. Using this expert system, clinical trials based on EDSS can benefit of a more reliable evaluation tool providing more valuable results.

Risk of multiple sclerosis following clinically isolated syndrome: a 4-year prospective study.

The aim of the study was to estimate the rate of conversion from clinically isolated syndrome (CIS) to multiple sclerosis (MS) and to investigate variables predicting conversion in a cohort of patients presenting with symptoms suggestive of MS. Patients with a first symptom suggestive of MS in the preceding 6 months and exclusion of other diseases were enrolled in an observational prospective study from December 2004 through June 2007. Conversion from CIS to MS according to both McDonald and Clinically Defined Multiple Sclerosis (CDMS) criteria was prospectively recorded until March 2010. The multivariate Cox proportional hazard model was used to assess the best predictive factors of conversion from CIS to MS. Among 168 patients included in the analysis, 122 converted to MS according to McDonald criteria whereas 81 converted to MS according to CDMS criteria. The 2-year probability of conversion was 57% for McDonald Criteria and 36% for CDMS criteria. Variables at enrolment significantly associated with conversion according to McDonald criteria were age and positivity for Barkhof criteria, and according to Poser's CDMS criteria, age, positivity for Barkhof criteria and no disease modifying therapy. In this large prospective cohort study the conversion rate from CIS to MS in patients presenting with recent symptoms suggestive of MS was within the range of previous observational studies and lower than that reported in the placebo arm of randomized trials. We confirm the prognostic value of MRI in addition to the previous experimental data on the protective role of disease-modifying therapies.

Refining an automatic EDSS scoring expert system for routine clinical use in multiple sclerosis.

The Expanded Disability Status Scale (EDSS) has been the most widely used measure of disability in multiple sclerosis (MS) clinical trials. Although EDSS has the advantage of familiarity with respect to recent proposals, and remains the de facto standard, it is difficult to use consistently between evaluators. Automatic EDSS (AEDSS) is an expert system designed to overcome this problem. It constrains the neurologist to follow precise reasoning steps, enhancing EDSS reliability. In this paper, we show how a deep analysis of the neurological knowledge involved has been essential for adopting AEDSS in routine clinical use. We present an ontology for the EDSS domain and highlight the enhancements to AEDSS due to this additional knowledge. A validation experiment in four MS centers in Italy showed that AEDSS reduces interrater variability, and in many cases, is able to correct errors of neurologists.