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

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.

Medication and bone health in multiple sclerosis: A systematic review and meta-analysis

BACKGROUND

People with multiple sclerosis (MS) are often prescribed medications associated with adverse effects on bone health. However, it is unclear whether these medications incur decreases in areal bone mineral density (aBMD) and higher fracture risk in this population.

OBJECTIVE

To investigate the effects of commonly used medications on aBMD and fracture risk among people with MS.

METHODS

MEDLINE, Embase, Scopus, CINAHL, and Web of Science were searched from their inception until February 5, 2023. We included randomized controlled trials as well as cross-sectional, retrospective, and prospective studies investigating whether glucocorticoids, immunomodulators, antidepressants, anticonvulsants, anxiolytics, opioids, or antipsychotics influenced aBMD or fracture risk in people with MS. Data were pooled using random effects meta-analyses to determine hazard ratios (HRs) and 95% CIs.

RESULTS

We included 22 studies (n = 18,193). Six studies were included in the meta-analyses of glucocorticoid use and aBMD, whereas 2 studies were included in the medication use and fracture risk meta-analyses. No studies assessed the effect of antidepressants, anxiolytics, anticonvulsants, opioids, and antipsychotics on aBMD, and no studies assessed the effect of immunomodulators on fracture risk. Glucocorticoid use was significantly negatively associated with femoral neck aBMD (correlation = -0.21 [95% CI = -0.29 to -0.13]), but not with lumbar spine aBMD (correlation = -0.21 [95% CI = -0.50 to 0.12]). There were no differences in fracture risk between users of glucocorticoids (HR = 1.71 [95% CI = 0.04 to 76.47]), antidepressants (HR = 1.84 [95% CI = 0.09 to 38.49]), or anxiolytics (HR = 2.01 [95% CI = 0.06 to 64.22]), compared with nonusers.

CONCLUSIONS

The available evidence is insufficient to support a relationship between greater fracture risk for people with MS taking glucocorticoid, antidepressant, or anxiolytic medication, compared with nonusers, and it is unclear whether these medications are associated with bone loss in people with MS, beyond that in the general population. Additional high-quality studies with homogenous methodology exploring how medications influence aBMD and fracture risk in people with MS are required.

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.

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.

Screening for severe drug-drug interactions in patients with multiple sclerosis: A comparison of three drug interaction databases

Background: Patients with multiple sclerosis (MS) often undergo complex treatment regimens, resulting in an increased risk of polypharmacy and potential drug-drug interactions (pDDIs). Drug interaction databases are useful for identifying pDDIs to support safer medication use. Objective: To compare three different screening tools regarding the detection and classification of pDDIs in a cohort of MS patients. Furthermore, we aimed at ascertaining sociodemographic and clinical factors that are associated with the occurrence of severe pDDIs. Methods: The databases Stockley's, Drugs.com and MediQ were used to identify pDDIs by screening the medication schedules of 627 patients. We determined the overlap of the identified pDDIs and the level of agreement in pDDI severity ratings between the three databases. Logistic regression analyses were conducted to determine patient risk factors of having a severe pDDI. Results: The most different pDDIs were identified using MediQ (n = 1,161), followed by Drugs.com (n = 923) and Stockley's (n = 706). The proportion of pDDIs classified as severe was much higher for Stockley's (37.4%) than for Drugs.com (14.4%) and MediQ (0.9%). Overall, 1,684 different pDDIs were identified by at least one database, of which 318 pDDIs (18.9%) were detected with all three databases. Only 55 pDDIs (3.3%) have been reported with the same severity level across all databases. A total of 336 pDDIs were classified as severe (271 pDDIs by one database, 59 by two databases and 6 by three databases). Stockley's and Drugs.com revealed 47 and 23 severe pDDIs, respectively, that were not included in the other databases. At least one severe pDDI was found for 35.2% of the patients. The most common severe pDDI was the combination of acetylsalicylic acid with enoxaparin, and citalopram was the drug most frequently involved in different severe pDDIs. The strongest predictors of having a severe pDDI were a greater number of drugs taken, an older age, living alone, a higher number of comorbidities and a lower educational level. Conclusions: The information on pDDIs are heterogeneous between the databases examined. More than one resource should be used in clinical practice to evaluate pDDIs. Regular medication reviews and exchange of information between treating physicians can help avoid severe pDDIs.

Associated factors of potential drug-drug interactions and drug-food interactions in patients with multiple sclerosis

Background:

Multiple sclerosis (MS) is the most common immune-mediated demyelinating disease in younger adults. Patients with MS (PwMS) are vulnerable to the presence of potential drug–drug interactions (pDDIs) and potential drug–food interactions (pDFIs) as they take numerous medications to treat MS, associated symptoms and comorbidities. Knowledge about pDDIs and pDFIs can increase treatment success and reduce side effects.

Objective:

We aimed at determining the frequency and severity of pDDIs and pDFIs in PwMS, with regard to polypharmacy.

Methods:

In the cross-sectional study, we analysed pDDIs and pDFIs of 627 PwMS aged ⩾18 years. Data collection was performed through patient record reviews, clinical examinations and structured patient interviews. pDDIs and pDFIs were identified using two DDI databases: Drugs.com Interactions Checker and Stockley’s Interactions Checker.

Results:

We identified 2587 pDDIs (counted with repetitions). Of 627 PwMS, 408 (65.1%) had ⩾ 1 pDDI. Polypharmacy (concomitant use of ⩾ 5 drugs) was found for 334 patients (53.3%). Patients with polypharmacy (Pw/P) were found to have a 15-fold higher likelihood of having ⩾ 1 severe pDDI compared with patients without polypharmacy (Pw/oP) (OR: 14.920, p < 0.001). The most frequently recorded severe pDDI was between citalopram and fingolimod. Regarding pDFIs, ibuprofen and alcohol was the most frequent severe pDFI.

Conclusion:

Pw/P were particularly at risk of severe pDDIs. Age and educational level were found to be factors associated with the occurrence of pDDIs, independent of the number of medications taken. Screening for pDDIs/pDFIs should be routinely done by the clinical physician to increase drug safety and reduce side effects.

The Potential Use of Antibiotics Against Helicobacter pylori Infection: Biopharmaceutical Implications

Helicobacter pylori (H. pylori) is a notorious, recalcitrant and silent germ, which can cause a variety of debilitating stomach diseases, including gastric and duodenal ulcers and gastric cancer. This microbe predominantly colonizes the mucosal layer of the human stomach and survives in the inhospitable gastric microenvironment, by adapting to this hostile milieu. In this review, we first discuss H. pylori colonization and invasion. Thereafter, we provide a survey of current curative options based on polypharmacy, looking at pharmacokinetics, pharmacodynamics and pharmaceutical microbiology concepts, in the battle against H. pylori infection.

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.

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.

Prevention and management of adverse effects of disease modifying treatments in multiple sclerosis

PURPOSE OF REVIEW

To summarize the currently known side effects of the approved therapies of multiple sclerosis and to suggest monitoring procedures.

RECENT FINDINGS

The progress in the treatment of multiple sclerosis with new very effective therapies is accompanied by a number of side effects. Some of these have already been described in the approval studies, but some only after approval in a real world situation. The reason for this is the short duration of the clinical studies, the very heterogeneous patient profile in the real world setting with a number of comorbidities, pretherapies, and wider age range. The side effects may occur during application of therapies or afterwards during the course of the treatment. The side effects may range from mild infections, mild laboratory abnormalities, secondary autoimmune diseases to life-threatening side effects such as progressive multifocal leukoencephalopathy.

SUMMARY

It has to be pointed out that these side effects are not to be considered as final and neurologists should be vigilant against new unknown side effects. The doctor should be aware of these undesirable effects, should weigh the benefits of the therapies against the risks, but at the same time she/he should keep in mind that multiple sclerosis can be a very disabling disease if not treated properly.

Inclusion of People with Disabilities in Research to Improve Medication Adherence: A Systematic Review

People with disabilities have high rates of chronic health conditions and often require complex medication regimens to manage their health. Approximately 20-50% of people with disabilities fail to take their medication as prescribed. It is unclear, however, to what extent the literature describes the effectiveness of medication adherence interventions for people with disabilities. In this review, the inclusion and exclusion criteria of the 182 studies included in the Cochrane Review on Interventions for Enhancing Medication Adherence were evaluated for their inclusion of people with disabilities. Of the studies, 1% excluded persons for hearing impairment, 3% for motor impairment, 7% for visual impairment, and 32% for cognitive impairment. Most studies (65%) did not exclude persons based on specific impairment. Medication event monitoring systems were used in 21% of studies, and investigators excluded people unable to use this device in 5% of studies. Caregiver assistance was an exclusion criteria in 4% of studies. Additional barriers like the ability of investigators to exclude persons based on their judgement were found. These barriers exist in addition to the known barriers affecting persons with disabilities, such as accessibility of research facilities and access to transportation. These data suggest that people with disabilities are systemically excluded from the medication adherence intervention literature. Subsequently, it cannot be assumed that current adherence interventions are effective for people with disabilities. More research is needed to understand how to address medication adherence for people with disabilities.

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.

Smartphone based behavioral therapy for pain in multiple sclerosis (MS) patients: A feasibility acceptability randomized controlled study for the treatment of comorbid migraine and ms pain

BACKGROUND

Multiple Sclerosis (MS) and Migraine are comorbid neurologic conditions. Migraine prevalence is three times higher in the MS clinic population compared to the general population, and patients with MS and migraine are more symptomatic than patients with MS without migraine.

OBJECTIVE

We sought to conduct a pilot feasibility and acceptability study of the RELAXaHEAD app in MS-Migraine patients and to assess whether there was any change in migraine disability and MS pain-related disability.

METHODS

Randomized controlled study of patients with MS-migraine ages 18-80 years with 4+ headache days/ month who were willing to engage in smartphone based behavioral therapy. Half received the RELAXaHEAD app with progressive muscle relaxation (PMR) and the other half received the app without the PMR. Data was collected for 90 days on measures of recruitment, retention, engagement, and adherence to RELAXaHEAD. Preliminary data was also collected on migraine disability (MIDAS) and MS pain (PES).

RESULTS

Sixty-two subjects with MS-migraine were enrolled in the study (34 in PMR arm, 28 in monitored usual care arm). On average, during the 90 days, participants played the PMR on average 1.8 times per week, and for 12.9 min on days it was played. Forty-one percent (14/34) of the participants played the PMR two or more times weekly on average. Data was entered into the daily diaries, on average, 49% (44/90) of the days. There were major challenges in reaching subjects in follow-up for the efficacy data, and there was no significant change in migraine disability (MIDAS) scores or MS Pain (PES) scores from baseline to the endpoints. During the six-month follow-up, most patients felt either positively or neutral about the relaxation therapy.

CONCLUSION

There was interest in scalable accessible forms of behavioral therapy to treat migraine and MS-related pain in patients with MS and comorbid migraine. Similar to prior studies, a significant minority were willing to practice the PMR at least twice weekly. In the societal shift from telephone to more text and internet-based interactions, follow up was challenging, but those reached indicated that they appreciated the PMR and would recommend it to others. Future work should focus on engagement and efficacy.

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.