Medication use in a large international sample of people with multiple sclerosis: associations with quality of life, relapse rate and disability

Practical tool to identify Spasticity-Plus Syndrome amongst patients with multiple sclerosis. Algorithm development based on a conjoint analysis

Introduction

The Spasticity-Plus Syndrome (SPS) in multiple sclerosis (MS) refers to a combination of spasticity and other signs/symptoms such as spasms, cramps, bladder dysfunction, tremor, sleep disorder, pain, and fatigue. The main purpose is to develop a user-friendly tool that could help neurologists to detect SPS in MS patients as soon as possible.

Methods

A survey research based on a conjoint analysis approach was used. An orthogonal factorial design was employed to form 12 patient profiles combining, at random, the eight principal SPS signs/symptoms. Expert neurologists evaluated in a survey and a logistic regression model determined the weight of each SPS sign/symptom, classifying profiles as SPS or not.

Results

72 neurologists participated in the survey answering the conjoint exercise. Logistic regression results of the survey showed the relative contribution of each sign/symptom to the classification as SPS. Spasticity was the most influential sign, followed by spasms, tremor, cramps, and bladder dysfunction. The goodness of fit of the model was appropriate (AUC = 0.816). Concordance between the experts' evaluation vs. model estimation showed strong Pearson's (r = 0.936) and Spearman's (r = 0.893) correlation coefficients. The application of the algorithm provides with a probability of showing SPS and the following ranges are proposed to interpret the results: high (> 60%), moderate (30-60%), or low (< 30%) probability of SPS.

Discussion

This study offers an algorithmic tool to help healthcare professionals to identify SPS in MS patients. The use of this tool could simplify the management of SPS, reducing side effects related with polypharmacotherapy.

The relationship between dietary profile and adherence to the Mediterranean diet with EDSS and quality of life in multiple sclerosis patients: a retrospective cross-sectional study

BACKGROUND

Multiple sclerosis (MS), one of the main neurological causes of disability seen at young ages, affects the quality of life of patients. Studies on which dietary pattern or consumption of food groups may have an impact on quality of life for MS patients are insufficient. The study was conducted to determine the relationship between adherence to Mediterranean diet and consumption levels of food groups on quality of life in multiple sclerosis patients.

METHODS

This study was conducted with 95 patients, 76 females and 19 males, aged 18-65 years, who had been diagnosed with MS for at least 2 years and did not have any other chronic disease. Food Frequency Questionnaire, Mediterranean Diet Adherence Screener (MEDAS), Expanded Disability Status Scale (EDSS) and Multiple Sclerosis Quality of Life-54 Instrument (MS-QoL-54) used as tools. Data were analyzed by SPSS 25.0.

RESULTS

Adherence to the Mediterranean diet was associated with EDSS and physical and mental quality of life parameters (CPH and CMH), independent of progression. It was associated with EDSS and CMH in progressive MS. A statistically significant negative weak correlation was found between daily milk and oilseed consumption and EDSS. Daily fruit consumption was associated with CMH, and vegetable consumption was associated with both CPH and CMH.

CONCLUSIONS

The Mediterranean diet may be an effective nutritional model in MS patients and may be related to the disability level and quality of life of the patients. Some food groups can be associated with the quality of life and disability level of MS patients.

Polypharmacy in patients with multiple sclerosis and the impact on levels of care and therapy units

Background

The aim of this study was to examine the societal costs of polypharmacy in patients with multiple sclerosis (MS). We therefore focused on the association between the number of medications on the level of care (LOC), the German classification of the need for care, and the number of therapy sessions (TTU).

Methods

In addition to demographic information and medication, 101 MS patients performed the Multiple Sclerosis Health Resource Utilization Survey (MS-HRS). Medications were subdivided into a total number of medications (TD), MS-related medication [MSD, i.e., disease-modifying drugs (DMDs) and symptomatic treatment (SD)], and medication for comorbidities (CDs). Multivariate linear regression models were performed to estimate if the amount of each medication type affects LOC or TTU.

Results

Polypharmacy appeared in 54 patients at the time of the survey. The relative risk (RR) of LOC 1 increased significantly by 2.46 (p = 0.001) per TD and by 2.55 (p = 0.004) per MSD, but not per CD (RR 1.44; p = 0.092). The effect of RR on MSD was driven by SD (RR 2.2; p = 0.013) but not DMD (RR 2.6; p = 0.4). RR of MSD remained significant for LOC 2 (1.77; p = 0.009) and LOC 3/4 (1.91; p = 0.015), with a strong trend in RR of SD, but not DMD. TTU increased significantly per MSD (p = 0.012), but not per TD (p = 0.081) and CD (p = 0.724).

Conclusion

The number of MSDs is related to the likelihood of a higher level of care and the number of therapy sessions and is therefore a good indication of the extent of the societal costs.

Polypharmacy in Multiple Sclerosis: Prevalence, Risks, and Mitigation Strategies

PURPOSE OF REVIEW

Polypharmacy, the use of ≥ 5 medications, is common in people with multiple sclerosis and is associated with negative outcomes. The use of multiple medications is common for symptom management in people with multiple sclerosis, but risks drug-drug interactions and additive side effects. Multiple sclerosis providers should therefore focus on the appropriateness and risks versus benefits of pharmacotherapy in each patient. This review describes the prevalence and risks associated with polypharmacy in people with multiple sclerosis and offers strategies to identify and mitigate inappropriate polypharmacy.

RECENT FINDINGS

Research in people with multiple sclerosis has identified risk factors and negative outcomes associated with polypharmacy. Medication class-specific investigations highlight their contribution to potentially inappropriate polypharmacy in people with multiple sclerosis. People with multiple sclerosis are at risk for inappropriate polypharmacy. Multiple sclerosis providers should review medications and consider their appropriateness and potential for deprescribing within the context of each patient.

Epidemiological Insights on Medication Concurrency and Polypharmacy in People With Multiple Sclerosis in Greece

BACKGROUND

Besides disease-modifying therapies, various pharmacologic agents are frequently prescribed to people with multiple sclerosis (MS) for symptom treatment and for comorbid conditions. The present study aims to investigate the types and frequencies of agents prescribed to people with MS in Greece using records from the nationwide digital prescription database.

METHODS

Prescription records for 21,218 people (65.9% women) with MS were included in the study. The criterion for study inclusion was a minimum of 3 months of continuous prescription of an agent. Identified treatments were further examined by age group.

RESULTS

Antispasticity agents (17.5%) and fampridine (14.5%) were the most regularly prescribed symptomatic medications. Antihypertensives (21.1%) and drugs for affective disorders, including antidepressants (36.1%) and anxiolytics (16.2%), were the most frequently prescribed medications for comorbid conditions. Antidepressants were prescribed at almost equally high rates among individuals older than 40 years. Hypertension was one of the leading comorbidities among the study sample, with rates rising significantly after age 40 years and plateauing after age 60 years. Polypharmacy was observed in 22.5% of the study sample, with a higher incidence among people with MS older than 60 years (46.98%).

CONCLUSIONS

Agents prescribed for the treatment of disease symptoms and other medical conditions are expected to positively affect quality of life in people with MS. However, polypharmacy seems to be particularly high, especially in the aged population. The potential implications of polypharmacy in the disease course should further be explored.

Polypharmacy and multiple sclerosis: A population-based study

BACKGROUND

Little is known about polypharmacy and multiple sclerosis (MS).

OBJECTIVES

To estimate polypharmacy prevalence in a population-based MS cohort and compare persons with/without polypharmacy.

METHODS

Using administrative and pharmacy data from Canada, we estimated polypharmacy prevalence (⩾5 concurrent medications for >30 consecutive days) in MS individuals in 2017. We compared the characteristics of persons with/without polypharmacy and described the number of polypharmacy days, the most common medication classes contributing to polypharmacy and hyper-polypharmacy prevalence (⩾10 medications).

RESULTS

Of 14,227 included individuals (75% women), mean age = 55.4 (standard deviation (SD): 13.2) years; 28% (n = 3995) met criteria for polypharmacy (median polypharmacy days = 273 (interquartile range (IQR): 120-345)). Odds of polypharmacy were higher for women (adjusted odds ratio (aOR) = 1.14; 95% confidence intervals (CI):1.04-1.25), older individuals (aORs 50-64 years = 2.04; 95% CI:1.84-2.26; ⩾65 years = 3.26; 95% CI: 2.92-3.63 vs. <50 years), those with more comorbidities (e.g. ⩾3 vs. none, aOR = 6.03; 95% CI: 5.05-7.22) and lower socioeconomic status (SES) (e.g. most (SES-Q1) vs. least deprived (SES-Q5) aOR = 1.64; 95% CI: 1.44-1.86). Medication classes most commonly contributing to polypharmacy were as follows: antidepressants (66% of polypharmacy days), antiepileptics (47%), and peptic ulcer drugs (41%). Antidepressants were most frequently co-prescribed with antiepileptics (34% of polypharmacy days) and peptic ulcer drugs (27%). Five percent of persons (716/14,227) experienced hyper-polypharmacy.

CONCLUSION

More than one in four MS persons met criteria for polypharmacy. The odds of polypharmacy were higher for women, older persons, and those with more comorbidities, but lower SES.

A multitude of signaling pathways associated with Alzheimer's disease and their roles in AD pathogenesis and therapy

The exact molecular mechanisms associated with Alzheimer's disease (AD) pathology continue to represent a mystery. In the past decades, comprehensive data were generated on the involvement of different signaling pathways in the AD pathogenesis. However, the utilization of signaling pathways as potential targets for the development of drugs against AD is rather limited due to the immense complexity of the brain and intricate molecular links between these pathways. Therefore, finding a correlation and cross-talk between these signaling pathways and establishing different therapeutic targets within and between those pathways are needed for better understanding of the biological events responsible for the AD-related neurodegeneration. For example, autophagy is a conservative cellular process that shows link with many other AD-related pathways and is crucial for maintenance of the correct cellular balance by degrading AD-associated pathogenic proteins. Considering the central role of autophagy in AD and its interplay with many other pathways, the finest therapeutic strategy to fight against AD is the use of autophagy as a target. As an essential step in this direction, this comprehensive review represents recent findings on the individual AD-related signaling pathways, describes key features of these pathways and their cross-talk with autophagy, represents current drug development, and introduces some of the multitarget beneficial approaches and strategies for the therapeutic intervention of AD.

Polypharmacy in chronic neurological diseases: Multiple sclerosis, dementia and Parkinson's disease

Polypharmacy is an important aspect of medication management and particularly affects elderly and chronically ill people. Patients with dementia, Parkinson's disease (PD) or multiple sclerosis (MS) are at high risk for multimedication due to their complex symptomatology. Our aim was to provide an overview of different definitions of polypharmacy and to present the current state of research on polypharmacy in patients with dementia, PD or MS. The most common definition of polypharmacy in the literature is the concomitant use of ≥5 medications (quantitative definition approach). Polypharmacy rates of up to >50% have been reported for patients with dementia, PD or MS, although MS patients are on average significantly younger than those with dementia or PD. The main predictor of polypharmacy is the complex symptom profile of these neurological disorders. Potentially inappropriate medication (PIM), drug-drug interactions, poor treatment adherence, severe disease course, cognitive impairment, hospitalisation, poor quality of life, frailty and mortality have been associated with polypharmacy in patients with dementia, PD or MS. For patients with polypharmacy, either the avoidance of PIM (selective deprescribing) or the substitution of PIM with more suitable drugs (appropriate polypharmacy) is recommended to achieve a more effective therapeutic management.

Association of clinical epidemiological factors to polypharmacy among patients with multiple sclerosis: real-life data

Introduction: Treatment for multiple sclerosis should focus on relapse prevention and treatment, as well as symptom and disease progression control, which require the use of multiple medications. Objective: To evaluate the association of polypharmacy and related clinical, epidemiological factors in multiple sclerosis patient cohorts. Methods: It was conducted a prospective study of multiple sclerosis patients that held a prescription of disease-modifying drugs between January and December 2017. The medications were analyzed and classified as either long-term or as-needed medications for therapeutic objective and prescription status purposes. Results: During 2017, 124 patients were attended, 106 were eligible for the study, and 81 agreed to participate. The average age was 40.95±11.69 years. The disease duration varied between 6 months and 30 years, with a median of 7 years. More than half of the multiple sclerosis patients suffered from comorbidities (54.32%), and 76.54% were categorized as polypharmacy. The comparison of polypharmacy between the groups yielded significant differences for comorbidities and employment status and regarding age between patients with polypharmacy and patients without polypharmacy of long-term medications. Conclusion: The age of the patient and the presence of comorbidities are important factors related to polypharmacy.

Polypharmacy in Multiple Sclerosis: Current Knowledge and Future Directions

Polypharmacy, or the daily use of five or more medications, is well documented in older adults and linked to negative outcomes such as medication errors, adverse drug reactions, and increased healthcare utilization. Like older adults, people with multiple sclerosis (PwMS) are susceptible to polypharmacy, owing to the variety of treatments used to address individual multiple sclerosis (MS) symptoms and other comorbidities. Between 15-65% of PwMS meet criteria for polypharmacy; in this population, polypharmacy is associated with increased reports of fatigue, subjective cognitive impairment, and reduced quality of life. Despite evidence of adverse outcomes, polypharmacy among PwMS remains a neglected area of research. This article examines the current literature regarding polypharmacy in MS, as well as implications for clinical practice and directions for future research.

Exploring polypharmacy phenomenon in newly diagnosed relapsing-remitting multiple sclerosis: a cohort ambispective single-centre study

Aims:

We aimed to examine the frequency of polypharmacy in a large cohort of patients at the time of diagnosis of relapsing–remitting multiple sclerosis (RRMS) and to explore its effects on discontinuation of first disease-modifying treatment (DMT) using survival analysis.

Methods:

This was a cohort ambispective single-centre study. We enrolled RRMS patients starting their first DMT between 1st January 2013 and 31st December 2015. According to the number of medicines prescribed (except DMTs), we divided the patients into three groups: no-poly RRMS, minor-poly RRMS (from one to three medications), and major-poly RRMS (more than three medications).

Results:

A total of 392 RRMS patients were enrolled (mean age 41.1). The minor-poly RRMS group included 61 patients (15.6%) and the major-poly RRMS group included 112 (28.6%). Individuals in these groups were older and had higher median body mass index (BMI) than patients in the no-poly RRMS group (p < 0.05). Upon multinomial regression analysis, older age at onset was associated with minor and major polypharmacy (OR 1.050, CI 1.010–1.093, p = 0.015 and OR 1.063, CI 1.026–1.101, p = 0.001, respectively) and higher BMI was associated with major polypharmacy (OR 1.186, CI 1.18–1.29, p = 0.001). The rates of discontinuation of first DMT were similar among the three groups (50.7% for no-Poly RRMS, 50.8% for minor-Poly RRMS, and 53.3% for major-Poly RRMS, p = 0.264). At log-Rank test, there were no differences among the three groups (p = 0.834).

Conclusion:

Polypharmacy was more common in older RRMS patients with high BMI.

Evaluating the Utility of Smartphone-Based Sensor Assessments in Persons With Multiple Sclerosis in the Real-World Using an App (elevateMS): Observational, Prospective Pilot Digital Health Study

Background

Multiple sclerosis (MS) is a chronic neurodegenerative disease. Current monitoring practices predominantly rely on brief and infrequent assessments, which may not be representative of the real-world patient experience. Smartphone technology provides an opportunity to assess people’s daily-lived experience of MS on a frequent, regular basis outside of episodic clinical evaluations.

Objective

The objectives of this study were to evaluate the feasibility and utility of capturing real-world MS-related health data remotely using a smartphone app, “elevateMS,” to investigate the associations between self-reported MS severity and sensor-based active functional tests measurements, and the impact of local weather conditions on disease burden.

Methods

This was a 12-week, observational, digital health study involving 3 cohorts: self-referred participants who reported an MS diagnosis, clinic-referred participants with neurologist-confirmed MS, and participants without MS (controls). Participants downloaded the elevateMS app and completed baseline assessments, including self-reported physical ability (Patient-Determined Disease Steps [PDDS]), as well as longitudinal assessments of quality of life (Quality of Life in Neurological Disorders [Neuro-QoL] Cognitive, Upper Extremity, and Lower Extremity Function) and daily health (MS symptoms, triggers, health, mobility, pain). Participants also completed functional tests (finger-tapping, walk and balance, voice-based Digit Symbol Substitution Test [DSST], and finger-to-nose) as an independent assessment of MS-related cognition and motor activity. Local weather data were collected each time participants completed an active task. Associations between self-reported baseline/longitudinal assessments, functional tests, and weather were evaluated using linear (for cross-sectional data) and mixed-effects (for longitudinal data) regression models.

Results

A total of 660 individuals enrolled in the study; 31 withdrew, 495 had MS (n=359 self-referred, n=136 clinic-referred), and 134 were controls. Participation was highest in clinic-referred versus self-referred participants (median retention: 25.5 vs 7.0 days). The top 5 most common MS symptoms, reported at least once by participants with MS, were fatigue (310/495, 62.6%), weakness (222/495, 44.8%), memory/attention issues (209/495, 42.2%), and difficulty walking (205/495, 41.4%), and the most common triggers were high ambient temperature (259/495, 52.3%), stress (250/495, 50.5%), and late bedtime (221/495, 44.6%). Baseline PDDS was significantly associated with functional test performance in participants with MS (mixed model–based estimate of most significant feature across functional tests [β]: finger-tapping: β=–43.64, P<.001; DSST: β=–5.47, P=.005; walk and balance: β=–.39, P=.001; finger-to-nose: β=.01, P=.01). Longitudinal Neuro-QoL scores were also significantly associated with functional tests (finger-tapping with Upper Extremity Function: β=.40, P<.001; walk and balance with Lower Extremity Function: β=–99.18, P=.02; DSST with Cognitive Function: β=1.60, P=.03). Finally, local temperature was significantly associated with participants’ test performance (finger-tapping: β=–.14, P<.001; DSST: β=–.06, P=.009; finger-to-nose: β=–53.88, P<.001).

Conclusions

The elevateMS study app captured the real-world experience of MS, characterized some MS symptoms, and assessed the impact of environmental factors on symptom severity. Our study provides further evidence that supports smartphone app use to monitor MS with both active assessments and patient-reported measures of disease burden. App-based tracking may provide unique and timely real-world data for clinicians and patients, resulting in improved disease insights and management.

Alemtuzumab and prescription medication use in the MS population

Medications are indicated to minimize adverse reactions with alemtuzumab treatment for multiple sclerosis, but polypharmacy can be problematic. We characterized prescriptions filled by 160 individuals before, during and after first infusion of alemtuzumab (Dec/2013-Jun/2017). Ninety-five percent of individuals filled ≥1 prescription(s) before alemtuzumab across 87 unique drug classes, averaging 5.3 prescriptions/person over 47 weeks. During the infusion period, 90% filled ≥1 prescription(s) for 40 new drug classes, averaging 2.2 prescriptions/person over 5 weeks. Twenty-four percent refilled ≥1 of these prescription(s) after alemtuzumab across 17 drug classes, averaging 0.3 refills/person over 24 weeks. There was substantial medication burden throughout the study.

The effects of aerobic exercise on sleep quality measures and sleep-related biomarkers in individuals with Multiple Sclerosis: A pilot randomised controlled trial

BACKGROUND

Sleep disturbances are highly prevalent in people with multiple sclerosis(MS), and are associated with pain, fatigue, depression, and reduced quality of life (QoL). Importantly, sleep has been considered a critical brain state for motor learning and memory consolidation. Therefore, interventions that target sleep managementin people with MS are needed.

OBJECTIVES

To explore the effects of a six weeks moderate-intensity aerobic exercise intervention on sleep characteristics and sleep-related biomarkers specifically serotonin, melatoninand cortisol in people with MS using a pilot randomized controlled trial.

METHODS

Participants were randomly allocated to either a moderate-intensity aerobic exercise program (MAE, n = 20) or a home exercise program (HEP, n = 20). Participants were assessed at baseline and follow-up. Subjective and objective measures were used to assess sleep quality. The Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) were used to subjectively assess sleep. While Actigraphy was used to objectivelyassess sleep. Blood samples were collected for measurement of cortisol, melatonin and serotonin from MS participants in both groups at 8:00 am±1 hour.

RESULTS

Seventeen participants in the MAE and 13 in the HEP group completed the study. Compared to the HEP group, people with MS who participated in a moderate-intensity aerobic exercise experienced significant improvements (P < 0.05) on the PSQI, ISI, and several objective sleep parameters measured using actigraphy. Only the serotonin levels increased significantly over the six-week period in the MAE group compared to the HEP group. The change score in serotonin (from baseline to follow up assessment) was significantly correlatedwith the change score in PSQI (r = -0.97, p < 001) and the change score in ISI (r = -0. 56, p = 0.015) only in the MAE group but not the HEP group.

CONCLUSIONS

Exercise may be a non-pharmacological, inexpensive, safe method to improve sleep quality in people with MS. The improvement in the serotonin level due to aerobic exercisemight explain one of the physiologic mechanisms driving these improvements.

Polypharmacy in patients with multiple sclerosis: a gender-specific analysis

Background

Multiple sclerosis (MS) affects about three times more women than men. Due to variable MS courses, multiple therapies are necessary in clinical practice.

Objective

We aimed at conducting sex-specific analyses of MS patients regarding polypharmacy (≥ 5 drugs) and at identifying differences in the medication spectrum.

Methods

Clinico-demographic data were gathered from 306 patients using clinical examinations, structured patient interviews, and patient records. Statistical data analyses were performed to evaluate whether the same or different factors are associated with polypharmacy in both genders.

Results

Women (N = 218) and men (N = 88) showed similar polypharmacy rates (56.0% vs. 58.0%; p = 0.799). For both genders, higher age, severe disability degrees, comorbidities, and inpatient treatment were significantly associated with a higher polypharmacy risk. Low educational levels were predictors of polypharmacy only in women. Fampridine (p < 0.021) and antispasmodics (p < 0.010) were used more often by men, while women took more frequently thyroid medications (p < 0.001) and contraceptives (p < 0.001). The age-related increase in medication use was much stronger in women (p < 0.001).

Conclusion

Male and female MS patients with older age, comorbidities, higher disability degree, and inpatient treatment are at greater risk of polypharmacy. Future studies should examine the occurrence of clinically relevant drug interactions in MS patients stratified by sex.

Multi-drug use among patients with multiple sclerosis: A cross-sectional study of associations to clinicodemographic factors

Multiple sclerosis (MS) is the most prevalent immune-mediated disease affecting the central nervous system. A treatment strategy with multiple therapies is a frequent clinical scenario. Unmonitored multi-drug use can lead to adverse outcomes, higher health care costs and medication non-adherence. The primary aim of this study was to evaluate the frequency of polypharmacy and related clinicodemographic factors in a single-center MS patient cohort. Furthermore, medication aspects of therapy management were examined. After the patients agreed to participate in the study, data were collected through patient interviews, patient records and clinical investigations. Subsequently, a statistical data analysis regarding various medication subgroups and polypharmacy (use of at least five drugs) was performed. Polypharmacy was observed in 56.5% of the patients (N = 306). High degrees of disability (odds ratio [OR] = 1.385), comorbidities (OR = 4.879) and inpatient treatment (OR = 5.146) were associated with a significantly higher risk of polypharmacy (p ≤ 0.001). Among patients with polypharmacy, disease-modifying drugs, antihypertensives, gastrointestinal drugs, thrombosis prophylactics, osteoporosis medications and sedatives were frequently used. In summary, polypharmacy plays a large role in MS patients, especially in those with higher degrees of disability, those with comorbidities and those treated in an inpatient setting.

Polypharmacy in outpatients with relapsing-remitting multiple sclerosis: A single-center study

Background

Multiple sclerosis (MS) is an immune-mediated disease of the central nervous system. Given the chronic and heterogenous nature of the disease, treatment with various therapies is a frequent scenario in clinical practice. In persons with chronic morbidity such as MS patients, polypharmacy can give rise to considerable health problems.

Objectives

The aim of the present study was to examine the frequency of polypharmacy among relapsing-remitting (RR) MS patients as well as to analyse sociodemographic and clinical factors, which might be associated with polypharmacy (use of five or more medications). Differences in medication between MS patients with and without secondary illnesses (PwSI and Pw/oSI), between men and women and between patients with and without polypharmacy (PwP and Pw/oP) were examined.

Methods

For 145 RRMS outpatients, we prospectively collected data by means of anamnesis, patient records, clinical examination and a structured patient interview. This was followed by comparative analyses of various patient subgroups (PwP vs. Pw/oP, PwSI vs. Pw/oSI, men vs. women).

Results

The proportion of included MS patients with polypharmacy (use of ≥5 medications) was 30.3%. PwP were significantly older than Pw/oP (45.9 vs. 41.7 years), had a lower level of education and showed a significantly higher median EDSS score (3.0 vs. 2.0). Comorbidities (p<0.001; odds ratio [OR] = 6.293) and higher EDSS scores (p = 0.029; OR = 1.440) were associated with a higher risk of polypharmacy. The proportion of polypharmacy among PwSI was approximately four times higher than among Pw/oSI (46.8% vs. 11.8%). Particularly in the use of antihypertensives, gastrointestinal drugs and dietary supplements, there were differences between Pw/oP and PwP.

Conclusion

We found a high burden of polypharmacy in patients with RRMS. This particularly applies to more severely disabled MS patients who suffer from comorbidities.

Drugs in Clinical Trials for Alzheimer's Disease: The Major Trends

Alzheimer's disease (AD) is characterized by a chronic and progressive neurodegenerative process resulting from the intracellular and extracellular accumulation of fibrillary proteins: beta-amyloid and hyperphosphorylated Tau. Overaccumulation of these aggregates leads to synaptic dysfunction and subsequent neuronal loss. The precise molecular mechanisms of AD are still not fully understood but it is clear that AD is a multifactorial disorder and that advanced age is the main risk factor. Over the last decade, more than 50 drug candidates have successfully passed phase II clinical trials, but none has passed phase III. Here, we summarize data on current "anti-Alzheimer's" agents currently in clinical trials based on findings available in the Thomson Reuters «Integrity» database, on the public website www.clinicaltrials.gov, and on database of the website Alzforum.org. As a result, it was possible to outline some major trends in AD drug discovery: (i) the development of compounds acting on the main stages of the pathogenesis of the disease (the so-called "disease-modifying agents") - these drugs could potentially slow the development of structural and functional abnormalities in the central nervous system providing sustainable improvements of cognitive functions, which persist even after drug withdrawal; (ii) focused design of multitargeted drugs acting on multiple molecular targets involved in the pathogenesis of the disease; (3) finally, the repositioning of old drugs for new (anti-Alzheimer's) application offers a very attractive approach to facilitate the completion of clinical trials.

Interferons-beta versus glatiramer acetate for relapsing-remitting multiple sclerosis

BACKGROUND

Interferons-beta (IFNs-beta) and glatiramer acetate (GA) were the first two disease-modifying therapies (DMTs) approved 20 years ago for the treatment of multiple sclerosis (MS). DMTs' prescription rates as first or switching therapies and their costs have both increased substantially over the past decade. As more DMTs become available, the choice of a specific DMT should reflect the risk/benefit profile, as well as the impact on quality of life. As MS cohorts enrolled in different studies can vary significantly, head-to-head trials are considered the best approach for gaining objective reliable data when two different drugs are compared. The purpose of this systematic review is to summarise available evidence on the comparative effectiveness of IFNs-beta and GA on disease course through the analysis of head-to-head trials.This is an update of the Cochrane review 'Interferons-beta versus glatiramer acetate for relapsing-remitting multiple sclerosis' (first published in the Cochrane Library 2014, Issue 7).

OBJECTIVES

To assess whether IFNs-beta and GA differ in terms of safety and efficacy in the treatment of people with relapsing-remitting (RR) MS.

SEARCH METHODS

We searched the Trials Register of the Cochrane Multiple Sclerosis and Rare Diseases of the CNS Group (08 August 2016) and the reference lists of retrieved articles. We contacted authors and pharmaceutical companies.

SELECTION CRITERIA

Randomised controlled trials (RCTs) comparing directly IFNs-beta versus GA in study participants affected by RRMS.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures as expected by Cochrane.

MAIN RESULTS

Six trials were included and five trials contributed to this review with data. A total of 2904 participants were randomly assigned to IFNs (1704) and GA (1200). The treatment duration was three years for one study, two years for the other four RCTs while one study was stopped early (after one year). The IFNs analysed in comparison with GA were IFN-beta 1b 250 mcg (two trials, 933 participants), IFN-beta 1a 44 mcg (three trials, 466 participants) and IFN-beta 1a 30 mcg (two trials, 305 participants). Enrolled participants were affected by active RRMS. All studies were at high risk for attrition bias. Three trials are still ongoing, one of them completed.Both therapies showed similar clinical efficacy at 24 months, given the primary outcome variables (number of participants with relapse (risk ratio (RR) 1.04, 95% confidence interval (CI) 0.87 to 1.24) or progression (RR 1.11, 95% CI 0.91 to 1.35). However at 36 months, evidence from a single study suggests that relapse rates were higher in the group given IFNs than in the GA group (RR 1.40, 95% CI 1.13 to 1.74, P value 0.002).Secondary magnetic resonance imaging (MRI) outcomes analysis showed that effects on new or enlarging T2- or new contrast-enhancing T1 lesions at 24 months were similar (mean difference (MD) -0.15, 95% CI -0.68 to 0.39, and MD -0.14, 95% CI -0.30 to 0.02, respectively). However, the reduction in T2- and T1-weighted lesion volume was significantly greater in the groups given IFNs than in the GA groups (MD -0.58, 95% CI -0.99 to -0.18, P value 0.004, and MD -0.20, 95% CI -0.33 to -0.07, P value 0.003, respectively).The number of participants who dropped out of the study because of adverse events was similar in the two groups (RR 0.95, 95% CI 0.64 to 1.40).The quality of evidence for primary outcomes was judged as moderate for clinical end points, but for safety and some MRI outcomes (number of active T2 lesions), quality was judged as low.

AUTHORS' CONCLUSIONS

The effects of IFNs-beta and GA in the treatment of people with RRMS, including clinical (e.g. people with relapse, risk to progression) and MRI (Gd-enhancing lesions) measures, seem to be similar or to show only small differences. When MRI lesion load accrual is considered, the effect of the two treatments differs, in that IFNs-beta were found to limit the increase in lesion burden as compared with GA. Evidence was insufficient for a comparison of the effects of the two treatments on patient-reported outcomes, such as quality-of-life measures.

Lifestyle, medication and socio-demographic determinants of mental and physical health-related quality of life in people with multiple sclerosis

Background

Health-related quality of life (QOL) is a key outcome for people with multiple sclerosis (MS). While modifiable lifestyle factors, like smoking, physical activity and vitamin D, have strong associations with development and progression of MS, few studies have examined such associations with QOL.

Methods

Using patient-reported data from 2312 people with MS from 54 countries, regression models explored associations of socio-demographic, therapeutic and lifestyle factors with QOL, using the Multiple Sclerosis Quality of Life-54 (MSQOL-54).

Results

Participants were on average 45.6 years old, 82.4% women, mostly partnered (74.1%), with a university degree (59.5%). Controlling for socio-demographic factors and disability, factors associated with better physical health composite (PHC) (on a 100 point scale) were: moderate and high physical activity compared to low (5.9 [95% confidence interval: 4.2, 7.6] and 9.9 [CI: 8.1, 11.6] points higher score respectively); non-smoking compared to current smoking (4.6 points [CI: 2.4, 6.7]); better diet (per 10 points on the 100 point Diet Habits Questionnaire scale (DHQ) 1.6 points [CI: 1.0, 2.2] points); normal body mass index (BMI) versus overweight or obese (2.1 points [CI: 0.4, 3.7] and 2.4 points [CI: 0.5, 4.3]); fewer comorbidities (4.4 points [CI: 3.9, 4.9]); and not taking a disease-modifying drug (DMD) (2.1 points [CI: 0.7, 3.4]).

Better mental health composite (MHC) determinants were: moderate and high physical activity compared to low (4.0 points [CI: 2.0, 6.0] and 5.7 points [CI: 3.5, 8.0]); non-smoking compared to current (6.7 points [CI: 4.1, 9.3]); better diet (2.8 points [CI: 1.9, 3.5]); normal BMI versus overweight or obese (3.1 points [CI: 1.1, 5.1] and 3.5 points [CI: 1.3, 5.7]); meditating regularly (2.2 points [CI: 0.2, 4.2]); and no DMD use (2.9 points [CI: 1.3, 4.6]).

Conclusions

While causality cannot be concluded from cross-sectional data, the associations between modifiable lifestyle factors and QOL suggest significant potential for secondary prevention of the known deterioration of QOL for people with MS through lifestyle risk factor modification.

Electronic supplementary material

The online version of this article (doi:10.1186/s12883-016-0763-4) contains supplementary material, which is available to authorized users.

Linked Patient-Reported Outcomes Data From Patients With Multiple Sclerosis Recruited on an Open Internet Platform to Health Care Claims Databases Identifies a Representative Population for Real-Life Data Analysis in Multiple Sclerosis

BACKGROUND

An enormous amount of information relevant to public health is being generated directly by online communities.

OBJECTIVE

To explore the feasibility of creating a dataset that links patient-reported outcomes data, from a Web-based survey of US patients with multiple sclerosis (MS) recruited on open Internet platforms, to health care utilization information from health care claims databases. The dataset was generated by linkage analysis to a broader MS population in the United States using both pharmacy and medical claims data sources.

METHODS

US Facebook users with an interest in MS were alerted to a patient-reported survey by targeted advertisements. Eligibility criteria were diagnosis of MS by a specialist (primary progressive, relapsing-remitting, or secondary progressive), ≥12-month history of disease, age 18-65 years, and commercial health insurance. Participants completed a questionnaire including data on demographic and disease characteristics, current and earlier therapies, relapses, disability, health-related quality of life, and employment status and productivity. A unique anonymous profile was generated for each survey respondent. Each anonymous profile was linked to a number of medical and pharmacy claims datasets in the United States. Linkage rates were assessed and survey respondents' representativeness was evaluated based on differences in the distribution of characteristics between the linked survey population and the general MS population in the claims databases.

RESULTS

The advertisement was placed on 1,063,973 Facebook users' pages generating 68,674 clicks, 3719 survey attempts, and 651 successfully completed surveys, of which 440 could be linked to any of the claims databases for 2014 or 2015 (67.6% linkage rate). Overall, no significant differences were found between patients who were linked and not linked for educational status, ethnicity, current or prior disease-modifying therapy (DMT) treatment, or presence of a relapse in the last 12 months. The frequencies of the most common MS symptoms did not differ significantly between linked patients and the general MS population in the databases. Linked patients were slightly younger and less likely to be men than those who were not linkable.

CONCLUSIONS

Linking patient-reported outcomes data, from a Web-based survey of US patients with MS recruited on open Internet platforms, to health care utilization information from claims databases may enable rapid generation of a large population of representative patients with MS suitable for outcomes analysis.

Treatment of multiple sclerosis by transplantation of neural stem cells derived from induced pluripotent stem cells

Multiple sclerosis (MS) is an autoimmune disease of the central nervous system (CNS), with focal T lymphocytic infiltration and damage of myelin and axons. The underlying mechanism of pathogenesis remains unclear and there are currently no effective treatments. The development of neural stem cell (NSC) transplantation provides a promising strategy to treat neurodegenerative disease. However, the limited availability of NSCs prevents their application in neural disease therapy. In this study, we generated NSCs from induced pluripotent stem cells (iPSCs) and transplanted these cells into mice with experimental autoimmune encephalomyelitis (EAE), a model of MS. The results showed that transplantation of iPSC-derived NSCs dramatically reduced T cell infiltration and ameliorated white matter damage in the treated EAE mice. Correspondingly, the disease symptom score was greatly decreased, and motor ability was dramatically rescued in the iPSC-NSC-treated EAE mice, indicating the effectiveness of using iPSC-NSCs to treat MS. Our study provides pre-clinical evidence to support the feasibility of treating MS by transplantation of iPSC-derived NSCs.

Prevalence of Comorbidities, Overweight and Obesity in an International Sample of People with Multiple Sclerosis and Associations with Modifiable Lifestyle Factors

Multiple sclerosis (MS) is a chronic neurological disorder, often affecting young people. Comorbid disorders such as depression, anxiety and hypertension are common and can affect disease course, treatment, and quality of life (QOL) of people with MS (PwMS). The associations between comorbidities, body mass index (BMI) and health outcomes are not well studied in MS, although research shows most PwMS are overweight. Most data on the prevalence of comorbidities and obesity in PwMS comes from North American populations. This study describes the prevalence of comorbidities, overweight and obesity and associations with modifiable factors in an international sample of PwMS recruited online through social media, MS societies and websites. The online survey consisted of validated and researcher-devised instruments to assess self-reported health outcomes and lifestyle behaviors. Of the 2399 respondents, 22.5% were overweight, 19.4% were obese and 67.2% reported at least one comorbidity, with back pain (36.2%), depression (31.7%), anxiety (29.1%) and arthritis (13.7%) most prevalent and most limiting in daily activities. Obesity and most comorbid disorders were significantly more prevalent in North America. Obese participants were more likely to have comorbidities, especially diabetes (OR 4.8) and high blood pressure (OR 4.5) but also depression (OR 2.2). Being overweight, obese, or a former, or current smoker was associated with an increase in the number of comorbidities; while healthy diet, physical activity (borderline significant) and moderate alcohol consumption were associated with decreased number of comorbidities. Increasing number of comorbidities was related to worse QOL, increased odds of disability and prior relapse. Obese PwMS had higher odds of disability and lower QOL. The associations between BMI, comorbidities and health outcomes are likely to be bi-directional and associated with lifestyle behaviors. Preventing and treating comorbid disorders and obesity in PwMS is warranted, and advice regarding healthy and risky lifestyle may assist in improving health outcomes.