Coping behavior in multiple sclerosis-complementary and alternative medicine: A cross-sectional study

Physiological, Anatomical and Physicochemical Characteristics of Children Affecting Food-Drug Interaction-Review

The drug-food interaction has a great interest in nutrition research to minimize unfavorable reactions to nutritional treatment. Failure to supply appropriate nutrition to the child can harm both body development and growth. This review aimed to examine available data on the impact of diet on medication absorption in pediatric populations. Mechanisms underlying food-drug interactions were investigated to explore possible distinctions between adult and pediatric populations and to gain insight into how this may impact the pharmacokinetic profile in a child. Several changes in physiology, anatomy and physicochemical properties among children are likely to result in food-drug interactions that cannot be anticipated based on adult studies. The influence of food on medications results in decreased bioavailability and altered drug elimination. Drugs, on the other hand, can affect dietary intake, digestion, absorption and excretion. Literature shows that differences in gastrointestinal physiology and anatomy between pediatric and adult populations can have a major impact on drug absorption and bioavailability. A higher splanchnic blood flow may result in decreased drug bioavailability due to increased loss in first-pass metabolism. To overcome the overall lack of knowledge on analyzing food-drug interactions among pediatric populations, comprehensive procedures and recommendations must be developed.

Update and Application of a Deep Learning Model for the Prediction of Interactions between Drugs Used by Patients with Multiple Sclerosis

Patients with multiple sclerosis (MS) often take multiple drugs at the same time to modify the course of disease, alleviate neurological symptoms and manage co-existing conditions. A major consequence for a patient taking different medications is a higher risk of treatment failure and side effects. This is because a drug may alter the pharmacokinetic and/or pharmacodynamic properties of another drug, which is referred to as drug-drug interaction (DDI). We aimed to predict interactions of drugs that are used by patients with MS based on a deep neural network (DNN) using structural information as input. We further aimed to identify potential drug-food interactions (DFIs), which can affect drug efficacy and patient safety as well. We used DeepDDI, a multi-label classification model of specific DDI types, to predict changes in pharmacological effects and/or the risk of adverse drug events when two or more drugs are taken together. The original model with ~34 million trainable parameters was updated using >1 million DDIs recorded in the DrugBank database. Structure data of food components were obtained from the FooDB database. The medication plans of patients with MS (n = 627) were then searched for pairwise interactions between drug and food compounds. The updated DeepDDI model achieved accuracies of 92.2% and 92.1% on the validation and testing sets, respectively. The patients with MS used 312 different small molecule drugs as prescription or over-the-counter medications. In the medication plans, we identified 3748 DDIs in DrugBank and 13,365 DDIs using DeepDDI. At least one DDI was found for most patients (n = 509 or 81.2% based on the DNN model). The predictions revealed that many patients would be at increased risk of bleeding and bradycardic complications due to a potential DDI if they were to start a disease-modifying therapy with cladribine (n = 242 or 38.6%) and fingolimod (n = 279 or 44.5%), respectively. We also obtained numerous potential interactions for Bruton's tyrosine kinase inhibitors that are in clinical development for MS, such as evobrutinib (n = 434 DDIs). Food sources most often related to DFIs were corn (n = 5456 DFIs) and cow's milk (n = 4243 DFIs). We demonstrate that deep learning techniques can exploit chemical structure similarity to accurately predict DDIs and DFIs in patients with MS. Our study specifies drug pairs that potentially interact, suggests mechanisms causing adverse drug effects, informs about whether interacting drugs can be replaced with alternative drugs to avoid critical DDIs and provides dietary recommendations for MS patients who are taking certain drugs.

Therapy of women with multiple sclerosis: an analysis of the use of drugs that may have adverse effects on the unborn child in the event of (unplanned) pregnancy

Background:

Although effective contraception is strongly recommended during the therapy of women with multiple sclerosis (MS) with some immunomodulatory drugs, unplanned pregnancies still occur. Adequate medication management is essential to avoid foetal harm in the event of an unplanned pregnancy.

Objective:

The aim was to screen for medications used in women of childbearing age with MS that may pose a risk of side effects on foetal development.

Methods:

Sociodemographic, clinical and medication data were collected from 212 women with MS by structured interviews, clinical examinations and medical records. Using the databases from Embryotox, Reprotox, the Therapeutic Goods Administration and on the German summaries of product characteristics, we assessed whether the taken drugs were potentially harmful regarding the foetal development.

Results:

The majority of patients (93.4%) were taking one or more drugs for which a possible harmful effect on the foetus is indicated in at least one of the four databases used. This proportion was even higher in patients who used hormonal contraceptives (birth control pills or vaginal rings) (PwCo, n = 101), but it was also quite high in patients who did not use such contraceptives (Pw/oCo, n = 111) (98.0% and 89.2%, respectively). PwCo were significantly more likely to take five or more medications with potential foetal risk according to at least one database than Pw/oCo (31.7% versus 6.3%). PwCo were also more severely disabled (average Expanded Disability Status Scale score: 2.8 versus 2.3) and more frequently had comorbidities (68.3% versus 54.1%) than Pw/oCo.

Conclusion:

Data on the most commonly used drugs in MS therapy were gathered to study the risk of possible drug effects on foetal development in female MS patients of childbearing age. We found that the majority of drugs used by patients with MS are rated as having a potential risk of interfering with normal foetal development. More effective contraception and special pregnancy information programmes regarding the therapy management during pregnancy should be implemented to reduce potential risks to mother and child.

Plain Language Summary

Use of drugs not recommended during pregnancy by women with multiple sclerosis Introduction: Patients with multiple sclerosis (MS) often have to take different drugs simultaneously. During the therapy with some immunomodulatory drugs, effective contraception is strongly recommended. Nevertheless, unplanned pregnancies occur regularly in women with MS. Methods: Here, we investigated whether the 212 patients included in this study were taking drugs with known possibility of harm to the development of an unborn child. This was done using four different drug databases. Results: A subset of 111 patients was not taking hormonal contraceptives (birth control pills or vaginal rings). Of those, 99 patients were taking at least one drug that is not recommended during pregnancy according to at least one of the four databases. Most of the medications taken have the potential to affect normal foetal development. Conclusion: To ensure safe use of medications, the patients should be reminded of the importance of effective contraception.

Conceptualization, use, and outcomes associated with compassion in the care of people with multiple sclerosis: a scoping review

OBJECTIVE

Compassion is widely regarded as an important component of high-quality healthcare. However, its conceptualization, use, and associated outcomes in the care of people with multiple sclerosis (PwMS) have not been synthesized. The aim of this review is to scope the peer reviewed academic literature on the conceptualization, use, and outcomes associated with compassion in the care of PwMS.

METHODS

Studies were eligible for inclusion if reporting primary research data from quantitative, qualitative, or mixed-methods studies on the conceptualization, use, and outcomes associated with compassion in the care of PwMS. Relevant studies were identified through searching five electronic databases (CINAHL, Cochrane Library, EMBASE, MEDLINE, and PsycINFO) in January 2022. We followed the guidance outlined in the Joanna Briggs Institute (JBI) manual for evidence synthesis, and also referred to the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews Checklist (PRISMA-ScR). Simple descriptive methods were used to chart quantitative findings, and a descriptive approach with basic content analysis was employed to describe qualitative findings.

RESULTS

Fifteen studies were included (participant n = 1722): eight quantitative, six mixed-methods, one exclusively qualitative. Synthesized qualitative data revealed that PwMS conceptualize compassion as involving self-kindness, agency, and acceptance. PwMS report using self-compassion in response to unpleasant sensations and experiences. Quantitative findings suggest that compassion may mediate benefit finding, reduced distress, and improved quality of life (QoL) in PwMS, that those with the condition may become more compassionate through time, and that self-compassion specifically can be increased through training in mindfulness. In this context, greater self-compassion in PwMS correlates with less depression and fatigue, better resilience and QoL. Among studies, self-compassion was the most common outcome measure for PwMS.

CONCLUSIONS

A nascent literature exists on the conceptualization, use, and outcomes associated with compassion in the care of PwMS. Further research is required to better understand what compassion means to PwMS and those caring for them. However, self-compassion can be cultivated among PwMS and may be helpful for managing unpleasant somatic symptoms and in benefit finding. Impact on other health outcomes is less clear. The use of compassion by health care providers in the care of PwMS is unstudied.

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.

Headache in multiple sclerosis - pharmacological aspects

For decades, headache was not considered a typical symptom of multiple sclerosis (MS) and was construed as a "red flag" for important differential diagnoses such as cerebral vasculitis. Meanwhile, several studies have demonstrated an increased prevalence of headache in MS compared to the general population. This is due to the heterogeneity of headache genesis with frequent occurrence of both primary and secondary headaches in MS. On the one hand, MS and migraine are often comorbid. On the other hand, secondary headaches occur frequently, especially in the course of MS relapses. These are often migraine-like headaches caused by inflammation, which can improve as a result of MS-specific therapy. Headaches are particularly common in the early stages of chronic inflammatory CNS disease, where inflammatory activity is greatest. In addition, headache can also occur as a side effect of disease-modifying drugs (DMDs). Headache can occur with most DMDs and is most frequently described with interferon-beta therapy. The aim of this work is to present the prevalence of headache and describe the heterogeneity of possible causes of headache in MS. In addition, important therapeutic aspects in the treatment of MS patients in general will be presented as well as different approaches to the treatment of headache in MS depending on the etiological classification.

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.

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.

Dark Classics in Chemical Neuroscience: An Evidence-Based Systematic Review of Belladonna

Belladonna has diverse pharmacotherapeutic properties with a shadowy history of beauty, life, and death. Alkaloids present in belladonna have anti-inflammatory, anticholinergic, antispasmodic, mydriatic, analgesic, anticonvulsant, and antimicrobial activities, which makes it widely applicable for the treatment of various diseases. However, because of its associated toxicity, the medicinal use of belladonna is debatable. Therefore, an evidence-based systematic review was planned to elucidate the pharmacotherapeutic potential of belladonna. A comprehensive literature search was performed in PubMed, MEDLINE, the Cochrane database, Embase, and ClinicalTrials.gov using the keywords "belladonna", "belladonna and clinical trials", and "safety and efficacy of belladonna". Articles published from 1965 to 2020 showing the efficacy of belladonna in diverse clinical conditions are included. The quality of evidence was generated using the GRADE approach, and 20 studies involving 2302 patients were included for the systematic review. Our analyses suggest that belladonna treatment appears to be safe and effective in various disease conditions, including acute encephalitis syndrome, urethral stent pain, myocardial ischemia injury, airway obstructions during sleep in infants, climacteric complaints, irritable bowel syndrome, and throbbing headache. However, better understanding of the dosage and the toxicity of tropane alkaloids of belladonna could make it an efficient remedy for treating diverse medical conditions.

Assessment of the complementary and integrative medicine utilization among patients with multiple sclerosis using a translated and adapted version of the international questionnaire (I-CAM-QP): A cross-sectional study in Southern Iran

AIMS

To assess the prevalence of and factors related to complementary and integrative medicine (CIM) use among multiple sclerosis (MS) patients, using a translated and adapted version of a standard international questionnaire.

METHODS

International complementary and alternative medicine questionnaire (I-CAM-Q) was used. A cross-sectional study was done to assess the prevalence of and factors associated with CIM use among MS patients in Southern Iran. Patients who were randomly selected from MS registry center, were interviewed via phone calls.

RESULTS

Three hundred patients were enrolled in the study; 69% of them were female. Their mean age was 36.6±8.53 years and the mean duration of the disease was 5.6 ± 4.22 years. In all, 99.3% (95% CI) of the patients had used at least one type of CIM. Herbal medicines and dietary supplements were the most commonly used CIM type (97.3%; 95% CI). Praying was the most common modality among all CIM subgroups (81.3%; 95% CI). Long term illness (MS) was selected as the main reason for the last use of all CIM types. Having non-tertiary education and having sequel due to MS were related to visiting a CIM provider (adjusted odds ratio (AOR) = 2.32, 95% confidence interval (CI) = 1.22-4.43), (AOR = 2.67, 95% CI = 1.47-4.83) respectively. Being female was related to the use of self-help practices (AOR = 3.41, 95% CI = 1.5-7.72).

CONCLUSION

There is a high prevalence of CIM use among MS patients. Therefore, patient- physician communication about CIM use should be emphasized.

Coping behavior in multiple sclerosis-complementary and alternative medicine: A cross-sectional study

Main Problem

Treatment options for multiple sclerosis (MS) have enlarged tremendously over the last years. Nonetheless, lots of patients look for alternative treatment options. The use of complementary and alternative medicine (CAM) is widespread in MS, however, its scientific investigation is limited so far. The aim of the study is to analyse clinical and demographical differences of MS patients in dependency of their CAM utilization as coping strategy.

Methods

A total of 254 patients with a clinically definite MS were examined in a semistructured interview. Additional standardized questionnaires were used to measure different aspects of coping with illness. All patients underwent neurological examination.

Results

About 206 of all enrolled patients are CAM users (81.1%). They have a longer disease duration (8.3 years vs 7.3 years, P = 0.028) and show higher disability (median EDSS 4.0 vs 2.0, P < 0.001) than nonusers. CAM users differed significantly from nonusers in their coping behavior (P = 0.035). Users are brooding more heavily over the disease, looking for more information about MS, and are looking for a sense of their disease in religion more often than nonusers. CAM users are at a higher risk of depression. Almost two‐thirds of CAM users (57.6%) reported positive effects on the well‐being of their state of health.

Conclusion

Coping behavior differs significantly between CAM users and nonusers. CAM utilization is associated with higher disability and depression. More than 80% of our cohort has used alternative or complementary methods. CAM utilization may mirror unmet needs in the treatment of MS.