Pregnancy and multiple sclerosis: Risk of unplanned pregnancy and drug exposure in utero

Qualitative user experience evaluation of the MS trust's online treatment decision aid tool's accommodation of planning pregnancy

Background

Decision-making about treatment when planning a pregnancy (family planning) is complex for women living with multiple sclerosis (MS). Decision tools can help this process, in 2016 MS Trust launched their online digital treatment decision tool to support people with MS.

Objectives

To evaluate user-experience of this tool by exploring women's opinions about its content, interface, and usefulness in the context of family planning; and to synthesize recommendations to improve the tool.

Methods

Thirty participants qualitatively evaluated the tool using Think Aloud methodology. Sessions were conducted online using Microsoft Teams and were video recorded. Transcription was automated and data were thematically analyzed.

Results

Women's first impression was that the tool presented a lot of information at once, which was difficult to take in, and they found it difficult to navigate. Although the tool was helpful in allowing them to compare treatment options, the filters were confusing, and the information related to pregnancy sometimes contradicted advice from their healthcare practitioners. They suggested rewording the pregnancy recommendations and filters, updating some content, and making some changes to the interface to meet users' cognitive needs.

Conclusion

The MS Trust treatment decision tool is excellent in helping women with treatment choices at initial diagnosis. However, it is not currently as useful when considering family plans. Recommendations were conveyed to MS Trust where some are now applied to the new live version and the rest are to be considered for future updating projects.

Fertility preferences and unmet need for family planning in women with multiple sclerosis

BACKGROUND

Most women with multiple sclerosis (MS) have childbearing potential. Although fertility and pregnancy are not affected by MS, the fertility preferences of women with MS can change due to the risk of complications for the mother and/or adverse pregnancy outcomes resulting from the disease or its treatment.

OBJECTIVES

To describe fertility preferences (FPs) and their associated factors, to estimate the Unmet Need for Family Planning (UNFP), use of contraceptives, and history of exposure to disease-modifying therapies (DMTs) during pregnancy in women with MS.

METHODS

In a cross-sectional observational study, a random sample of women with MS were surveyed with the FP subset of the Demographic and Health Survey of Colombia. Factors associated with FP were evaluated through bivariate and logistic regression analysis. The proportion of pregnancies exposed to DMTs, UNFP, and use of contraceptives was estimated.

RESULTS

Of the 141 women interviewed, 101 women had childbearing potential, of whom 49 did not want to have children, 38 were sterilized, 33 wanted to have more children, 19 were undecided, and 2 stated they were unable to bear children (menopause or hysterectomy). No MS-related variables were associated with the preference to have more children. Age (OR 0.91; 95% CI 0.84-0.98) and the number of children (OR 0.23; 95% CI 0.09-0.58) decreased the likelihood of desire for children. Of 116 sexually active women, 87.06 % (101) were using contraceptives, and among them, four were using fertility awareness methods and withdrawal. The UNFP was estimated at 6.03% and was not significantly different from the general population. Eighty-two pregnancies were identified, of which 48 occurred after diagnosis, and 25 were exposed to DMTs.

CONCLUSION

Fertility preference in women with MS is not associated with clinical variables. A large proportion of women choose not to have children and prefer to use permanent contraceptive methods. Although the frequency of contraceptive use was high, some women have the UNFP and use low-efficacy contraceptive methods, which may result in unplanned pregnancies.

Disease Reactivation after Fingolimod Discontinuation in Pregnant Multiple Sclerosis Patients

Recent studies estimated an incidence of 4-25% of disease rebound after withdrawal of fingolimod (FTY) for any reason, but specific data on disease reactivation after FTY withdrawal due to pregnancy are limited. The aim of the study was to evaluate the frequency and predictors of disease reactivation in patients who stopped FTY for pregnancy. A multicentre retrospective cohort study was conducted in four Italian MS centres in 2013-2019. Both planned and unplanned pregnancies were included. The annualized relapse rate (ARR) was calculated before FTY treatment, during FTY treatment, during pregnancy and during the year after delivery. In total, 27 patients (mean age 29 years) were included. The ARR 1 year before FTY treatment was 1.3. Patients were exposed to FTY for a median of 2.9 years. The ARR was 0.04 during the last year before conception (p < 0.001 compared with the ARR before FTY treatment). Eleven patients became pregnant after a mean of 88 days following FTY discontinuation, whereas 16 patients stopped FTY after pregnancy confirmation. Relapses were observed in 22% of patients during pregnancy and in 44% in the postpartum period. ARR increased both during pregnancy (0.49; p = 0.027) and in the first year after delivery (0.67; p < 0.001) compared to the last year before pregnancy. Compared with radiological assessment before pregnancy, more patients showed new or enlarging T2 lesions (63% vs 30%; p = 0.02) and gadolinium-enhancing lesions (44% vs 0; p = 0.0001) on brain Magnetic Resonance Imaging. Relapses during pregnancy were the only significant predictor for postpartum relapses (OR 1.9, 95% CI 1.11-3.1). One case of spontaneous abortion and no cases of abnormal foetal development were observed. Despite adequate and prolonged control of disease activity, women who discontinue FTY because of pregnancy are at risk for disease reactivation. In patients who relapsed during pregnancy, the initiation of high-efficacy disease modifying drugs (DMDs) soon after delivery is advisable to prevent postpartum relapses.

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.

Multiple Sclerosis in Pregnancy and its Role in Female Fertility: A Systematic Review

Multiple sclerosis (MS) is a neurological disease that typically affects young women of reproductive age. There are still many questions and heterogeneous clinical approaches partly due to the lack of consensus and guidelines. For many years, women with MS have been discouraged from getting pregnant for fears that the disease might negatively affect the fetus or increase their obstetric risk or for claims that the disease might decrease fertility. However, fertility does not seem to be impaired to a larger extent in women with MS. Therefore, all healthcare providers involved in the follow-up of multiple sclerosis patients must be prepared to discuss future fertility, pregnancy, and others matters, in addition to providing them with the best possible counseling. This study presents data based on updated evidence and discusses fertility and pregnancy in patients with MS with respect to the impacts of pregnancy on the risk and prognostic factors tied to MS, and the impact of MS on pregnancy outcomes and fertility treatments administered to females with MS. In conclusion, a clear relationship between infertility and MS has not been established. There seems to exist a link between disease aggressiveness and progression with several processes that might impair fertility. However, MS does not stand as a contraindication to assisted reproductive technology. From the several studies analyzed, it is possible to conclude that pregnancy is possible in women with MS. It is important to discuss and plan the ideal moment to start treatment and managing pregnancy and contraception aiming at better results.

Family planning in Argentinian women with multiple sclerosis: An important yet seldom approached issue

Background

The purpose of this study was to assess family planning (FP) among women with multiple sclerosis (WwMS).

Methods

We invited 604 WwMS to answer a survey focused on FP: a) Temporal relationship between pregnancy and the diagnosis of multiple sclerosis; b) History of FP; c) Childbearing desire; d) Information on family planning. Comparisons between pregnancy and not pregnancy after MS, as well as, planned and unplanned pregnancy were analyzed. Multivariate and univariate analyses were used to assess the impact of independent variables and FP

Result

428 (71.7%) WwMS completed the survey. A 19.1% got pregnant after MS diagnosis and we evaluated FP in the last pregnancy, 56.1% patients had a planned pregnancy. Professional addressing FP (OR = 0.27, 95%-CI 0.08-0.92, p = 0.03) and non-injection drug treatment before pregnancy (OR = 2.88, 95%-CI 1.01-8.21, p = 0.047) were independent predictors of unplanned pregnancy in our multivariate model. Among WwMS ≤ 40 years, 48.7% had future childbearing desire. Young age (p < 0.001), PDDS <3 (p = 0.018), disease duration <5 years (p = 0.02), not childbearing before MS diagnosis (p < 0.001) and neurologist addressing family planning (p = 0.01) were significantly associated with childbearing desire.

Conclusions

This research highlights that pregnancy remains an important concern among WwMS.

The risk of polypharmacy, comorbidities and drug-drug interactions in women of childbearing age with multiple sclerosis

Background and Aims

Multiple sclerosis (MS) is the most common neuroimmunological disease of the central nervous system in young adults. Despite recommended contraception, unplanned pregnancies can occur in women of childbearing age with MS. MS- and comorbidities-related multimedication in these patients represents a potential risk. We aimed to raise awareness regarding the frequency of polypharmacy and drug-drug interactions (DDIs) in female MS patients of childbearing age.

Methods

Sociodemographic, clinical and pharmaceutical data were collected through patient records, clinical investigations and structured patient interviews of 131 women with MS. The clinical decision support software MediQ was used to identify potential DDIs. A medication and DDI profile of the study population was created by statistical analysis of the recorded data.

Results

Of the 131 female MS patients, 41.2% were affected by polypharmacy (concurrent use of ⩾5 drugs). Polypharmacy was associated with higher age, higher degree of disability, chronic progressive MS disease course and comorbidities. With an average intake of 4.2 drugs per patient, a total of 1033 potential DDIs were identified. Clinically relevant DDIs were significantly more frequent in patients with polypharmacy than in patients without polypharmacy (31.5% versus 5.2%; Fisher's exact test: p < 0.001).

Conclusion

For the first time, a comprehensive range of potential DDIs in women of childbearing age with MS is presented. Polypharmacy is associated with the occurrence of clinically relevant DDIs. This shows the need for effective and regular screening for such interactions in order to prevent avoidable adverse effects.