OPTIMISE: MS study protocol: a pragmatic, prospective observational study to address the need for, and challenges with, real world pharmacovigilance in multiple sclerosis.
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ABSTRACT: Introduction
The power of 'real world' data to improve our understanding of the clinical aspects of multiple sclerosis (MS) is starting to be realised. Disease modifying therapy (DMT) use across the UK is driven by national prescribing guidelines. As such, the UK provides an ideal country in which to gather MS outcomes data. A rigorously conducted observational study with a focus on pharmacovigilance has the potential to provide important data to inform clinicians and patients while testing the reliability of estimates from pivotal trials when applied to patients in the UK.Methods and analysis
The primary aim of this study is to characterise the incidence and compare the risk of serious adverse events in people with MS treated with DMTs. The OPTIMISE:MS database enables electronic data capture and secure data transfer. Selected clinical data, clinical histories and patient-reported outcomes are collected in a harmonised fashion across sites at the time of routine clinical visits. The first patient was recruited to the study on 24 May 2019. As of January 2021, 1615 individuals have baseline data recorded; follow-up data are being captured and will be reported in due course.Ethics and dissemination
This study has ethical permission (London City and East; Ref 19/LO/0064). Potential concerns around data storage and sharing are mitigated by the separation of identifiable data from all other clinical data, and limiting access to any identifiable data. The results of this study will be disseminated via publication. Participants provide consent for anonymised data to be shared for further research use, further enhancing the value of the study.
SUBMITTER: Dobson R
PROVIDER: S-EPMC8627413 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:IntroductionOptimise:MS is an observational pharmacovigilance study aimed at characterizing the safety profile of disease-modifying therapies (DMTs) for multiple sclerosis (MS) in a real world population. The study will categorize and quantify the occurrence of serious adverse events (SAEs) in a cohort of MS patients recruited from clinical sites around the UK. The study was motivated particularly by a need to establish the safety profile of newer DMTs, but will also gather data on outcomes among treatment-eligible but untreated patients and those receiving established DMTs (interferons and glatiramer acetate). It will also explore the impact of treatment switching.MethodsCausal pathway confounding between treatment selection and outcomes, together with the variety and complexity of treatment and disease patterns observed among MS patients in the real world, present statistical challenges to be addressed in the analysis plan. We developed an approach for analysis of the Optimise:MS data that will include disproportionality-based signal detection methods adapted to the longitudinal structure of the data and a longitudinal time-series analysis of a cohort of participants receiving second-generation DMT for the first time. The time-series analyses will use a number of exposure definitions in order to identify temporal patterns, carryover effects and interactions with prior treatments. Time-dependent confounding will be allowed for via inverse-probability-of-treatment weighting (IPTW). Additional analyses will examine rates and outcomes of pregnancies and explore interactions of these with treatment type and duration.ResultsTo date 14 hospitals have joined the study and over 2,000 participants have been recruited. A statistical analysis plan has been developed and is described here.ConclusionOptimise:MS is expected to be a rich source of data on the outcomes of DMTs in real-world conditions over several years of follow-up in an inclusive sample of UK MS patients. Analysis is complicated by the influence of confounding factors including complex treatment histories and a highly variable disease course, but the statistical analysis plan includes measures to mitigate the biases such factors can introduce. It will enable us to address key questions that are beyond the reach of randomized controlled trials.
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Project description:PurposeThe objective of this study was to characterize the demographic and clinical profile of RRMS patients receiving fingolimod in Spain, and to evaluate drug effectiveness and safety in clinical practice.MethodsThis observational, retrospective, multicentre, nationwide study was performed at 56 Spanish hospitals and involved 804 RRMS patients who received oral fingolimod (0.5 mg) since November 2011, with a minimum follow-up of 12 months.ResultsThe mean annualized relapse rate (ARR) in the year before fingolimod was 1.08 and the median EDSS was 3; patients were exposed to fingolimod for 2.2 years as average; regarding magnetic resonance imaging (MRI) activity, more than half of the patients had >20 lesions at baseline. Patients were previously treated with first-line injectable DMTs (60.3%), or natalizumab (31.3%), and 8.3% were naïve patients. Overall, the ARR significantly decreased to 0.28, 0.22 and 0.17 (74.1%, 79.7% and 83.5% of relative reduction, respectively) after 12, 24 and 36 months of treatment, P<0.001. The ARR of patients who switched from natalizumab to fingolimod was stable over the study. Most of the patients (88.7%) were free from confirmed disability and MRI activity (67.3%) after 24 months. The persistence after 12 months on fingolimod was 93.9%.ConclusionsThe subgroups of patients analysed showed differential baseline demographic and clinical characteristics. The analysis of patients who received fingolimod in routine clinical practice confirmed adequate efficacy and safety, even for long-term treatment. The present data also confirmed the positive benefit/risk balance with fingolimod in real-world clinical practice setting.
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Project description:IntroductionDepression occurs in over 50% of individuals living with multiple sclerosis (MS) and can be treated using many modalities. Yet, it remains: under-reported by patients, under-ascertained by clinicians and under-treated. To enhance these three behaviours likely to promote evidence-based depression care, we engaged multiple stakeholders to iteratively design a first-in-kind digital health tool. The tool, MS CATCH (Care technology to Ascertain, Treat, and engage the Community to Heal depression in patients with MS), closes the communication loop between patients and clinicians. Between clinical visits, the tool queries patients monthly about mood symptoms, supports patient self-management and alerts clinicians to worsening mood via their electronic health record in-basket. Clinicians can also access an MS CATCH dashboard displaying patients' mood scores over the course of their disease, and providing comprehensive management tools (contributing factors, antidepressant pathway, resources in patient's neighbourhood). The goal of the current trial is to evaluate the clinical effect and usability of MS CATCH in a real-world clinical setting.Methods and analysisMS CATCH is a single-site, phase II randomised, delayed start, trial enrolling 125 adults with MS and mild to moderately severe depression. Arm 1 will receive MS CATCH for 12 months, and arm 2 will receive usual care for 6 months, then MS CATCH for 6 months. Clinicians will be randomised to avoid practice effects. The effectiveness analysis is superiority intent-to-treat comparing MS CATCH to usual care over 6 months (primary outcome: evidence of screening and treatment; secondary outcome: Hospital Anxiety Depression Scale-Depression scores). The usability of the intervention will also be evaluated (primary outcome: adoption; secondary outcomes: adherence, engagement, satisfaction).Ethics and disseminationUniversity of California, San Francisco Institutional Review Board (22-36620). The findings of the study are planned to be shared through conferences and publishments in a peer-reviewed journal. The deidentified dataset will be shared with qualified collaborators on request, provision of CITI and other certifications, and data sharing agreement. We will share the results, once the data are complete and analysed, with the scientific community and patient/clinician participants through abstracts, presentations and manuscripts.Trial registration numberNCT05865405.
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Project description:BackgroundThe relationship between Protein Convertase Subtilisin Kexin Type 9 inhibitor (PCSK9i) and psychiatric adverse events (AEs) remains unclear due to the limitations of clinical trials. In this study, PCSK9i-related psychiatric AEs were realistically observed and systematically summarized in the real world by data mining the FDA AE Reporting System (FAERS).MethodTotal AEs between the third quarter of 2015 and the first quarter of 2023 were obtained from FAERS. Psychiatric AEs were identified using disproportionality analysis and clinical prioritization of signals using a rating scale, followed by univariate logistic regression to explore factors influencing psychiatric AEs.ResultsPsychiatric AEs accounted for 6.7% of the total number of PCSK9i reports. Eighteen psychiatric AEs were defined as PCSK9i-related psychiatric adverse events (ppAEs) (lower 95% CI of both ROR >1 and IC025 > 0). The median age of ppAE reports was 68 years, and female patients accounted for 22.67% of reports, including 41.40% of reports with a serious outcome. Eleven (61.11%) and seven (38.89%) ppAEs were classified as weak and moderate clinical priority, respectively. The median time to onset of ppAEs was 149 and 196 days after treatment with evolocumab and alirocumab, respectively. Patients weighing ≥80 kg were 1.59 times more likely to experience ppAEs.ConclusionThe results of this study facilitate the prioritization of psychiatric AE signals by healthcare professionals with the goal of mitigating the risk of PCSK9i-related psychiatric AEs. However, as an exploratory study, our findings need to be confirmed in large-scale prospective studies.
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Project description:BackgroundAntidepressants-induced movement disorders are rare and imperfectly known adverse drug reactions. The risk may differ between different antidepressants and antidepressants' classes. The objective of this study was to assess the putative association of each antidepressant and antidepressants' classes with movement disorders.MethodsUsing VigiBase®, the WHO Pharmacovigilance database, disproportionality of movement disorders' reporting was assessed among adverse drug reactions related to any antidepressant, from January 1967 to February 2017, through a case/non-case design. The association between nine subtypes of movement disorders (akathisia, bruxism, dystonia, myoclonus, parkinsonism, restless legs syndrome, tardive dyskinesia, tics, tremor) and antidepressants was estimated through the calculation first of crude Reporting Odds Ratio (ROR), then adjusted ROR on four potential confounding factors: age, sex, drugs described as able to induce movement disorders, and drugs used to treat movement disorders.ResultsOut of the 14,270,446 reports included in VigiBase®, 1,027,405 (7.2%) contained at least one antidepressant, among whom 29,253 (2.8%) reported movement disorders. The female/male sex ratio was 2.15 and the mean age 50.9 ± 18.0 years. We found a significant increased ROR for antidepressants in general for all subtypes of movement disorders, with the highest association with bruxism (ROR 10.37, 95% CI 9.62-11.17) and the lowest with tics (ROR 1.49, 95% CI 1.38-1.60). When comparing each of the classes of antidepressants with the others, a significant association was observed for all subtypes of movement disorders except restless legs syndrome with serotonin reuptake inhibitors (SRIs) only. Among antidepressants, mirtazapine, vortioxetine, amoxapine, phenelzine, tryptophan and fluvoxamine were associated with the highest level to movement disorders and citalopram, paroxetine, duloxetine and mirtazapine were the most frequently associated with movement disorders. An association was also found with eight other antidepressants.ConclusionsA potential harmful association was found between movement disorders and use of the antidepressants mirtazapine, vortioxetine, amoxapine, phenelzine, tryptophan, fluvoxamine, citalopram, paroxetine, duloxetine, bupropion, clomipramine, escitalopram, fluoxetine, mianserin, sertraline, venlafaxine and vilazodone. Clinicians should beware of these adverse effects and monitor early warning signs carefully. However, this observational study must be interpreted as an exploratory analysis, and these results should be refined by future epidemiological studies.
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Project description:BackgroundFingolimod is approved for the treatment of highly active relapsing-remitting multiple sclerosis in Europe. There is limited information on its effectiveness and safety in clinical practice within the UK.ObjectiveTo evaluate retrospectively the effectiveness and safety of fingolimod in patients with relapsing-remitting multiple sclerosis who were prescribed fingolimod by UK neurologists within the National Health Service.MethodsThis was a multicentre, observational study conducted in the UK. Patients were initiated on fingolimod 0.5 mg 12 months before inclusion in the study. Key efficacy outcomes included annualised relapse rate and the proportion of patients free from relapses, disability progression and clinical and radiological disease activity at 12 months following fingolimod initiation. Resource utilisation and safety outcomes were also assessed.ResultsIn 12 months of treatment with fingolimod, the mean annualised relapse rate was reduced by 79%, the majority of patients were free from relapses (83.7%). Based on limited data, most patients were free from disability progression and clinical and radiological disease activity. More than 90% of patients continued on fingolimod. Lymphocyte count reductions and liver enzyme increases were observed.ConclusionFingolimod was effective in reducing the disease activity in relapsing-remitting multiple sclerosis patients requiring an escalation from first-line therapies who were prescribed fingolimod in clinical practice in the UK.
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Project description:AimsWith the explosion of anticancer drugs, an emerging concern is the risk for drug-induced sudden death (SD) via ventricular arrhythmias (VA).Methods and resultsWe used the international pharmacovigilance database VigiBase (n = 18 441 659 reports) to compare drug-induced long QT (diLQT, n = 18 123) and VA (n = 29 193) including torsade de pointes (TdP, n = 8163) reporting for 663 anticancer drugs vs. all other drugs until 01/01/2019. The analysis used the 95% lower-end credibility interval of the information component (IC025), an indicator for disproportionate Bayesian reporting; significant when IC025 >0. There were 2301 reports (13.8% fatal) for 40 anticancer drugs significantly associated with diLQT (with 27 also associated with VA or SD) and 9 drugs associated with VA without diLQT. Half of these (46.9%, 23/49) were associated with SD. Most (41%, 20/49) were kinase inhibitors, 8% (4/49) were hormonal therapies, 6% (3/49) were immunotherapies, 24% (12/49) were cytotoxics, and 20% (10/49) were miscellaneous. In VigiBase, reports of diLQT, TdP, or VA increased from 580 in the period 1967-83 to 15 070 in 2014-18 with the proportion related to anticancer drugs increasing from 0.9% (5/580) to 14.0% (2115/15 070) (P < 0.0001). Concordance between these VigiBase signals and data concerning diLQT and VA/TdP identified in CredibleMeds or US Food and Drug Administration (FDA) labels was moderate (κ = 0.47 and 0.40, P < 0.0001). Twenty-three drugs represent new signals, while 24 flagged by CredibleMeds or FDA had no signal in VigiBase. A three-level SD risk stratification relying on isolated long QT (low risk), associated with VA without SD (moderate risk), and VA with SD (high risk) is proposed.ConclusionThis list of liable anticancer drugs may prove useful for physicians and regulatory authorities to re-evaluate cardiac monitoring requirements.Clinical trial registrationNCT03530215.
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Project description:Cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitors are approved for the treatment of human epidermal growth factor receptor 2 (HER-2)-negative, hormone receptor-positive breast cancer. The cardiovascular toxicity of CDK4/6 inhibitors is not well understood. This study aims to profile the cardiac events associated with CDK4/6 inhibitors. Reports from 2015Q1 to 2024Q1 were obtained from the FDA Adverse Event Reporting System (FAERS). Reports identifying palbociclib, ribociclib, and abemaciclib as the primary suspect were examined for cardiovascular toxicity, including hypertension, cardiac failure, cardiomyopathy, arrhythmia, myocardial infarction, and myocarditis. Signal detection was performed using the proportional reporting ratio (PRR), reporting odds ratio (ROR), and information component (IC). A total of 69,139 reports were analyzed. The median time to adverse events was 69 days (interquartile range [IQR], 18-260 days). Of these, 2065 reports documented cardiac adverse events. Ribociclib and QT prolongation were re-confirmed as a signal (PRR 8.43, ROR 8.65, IC025 2.86). Hypertension and cardiac failure were the most frequently reported cardiovascular toxicities. This study demonstrates that the use of CDK4/6 inhibitors is associated with cardiovascular adverse events, such as heart failure and hypertension. Further research is needed to understand the mechanisms and risk factors contributing to the cardiovascular toxicity of CDK4/6 inhibitors.
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Project description:The long-term and potential rare side effects of new immunomodulating drugs for the treatment of multiple sclerosis (MS) are often not well known. Spontaneous case report systems of adverse drug effects are a valuable source in pharmacovigilance, but have several limitations. Primary data collections within registries allow a comprehensive analysis of potential side effects, but face several challenges. This article will outline the chances and challenges of registry-based adverse event reporting, using the example of the German immunotherapeutic registry REGIMS. REGIMS is an observational, clinical multicenter registry that aims to assess the incidence, type, and consequences of side effects of MS immunotherapies. Patients treated with an approved MS medication are recruited by their physicians during routine visits in hospitals, outpatient clinics, and MS-specialized practices. REGIMS incorporates an electronic physician-based documentation in each center and a paper-based patient documentation, both at baseline and regular follow-up visits. By the end of 2019, 43 REGIMS centers were actively recruiting patients and performing follow-up documentations. The majority of the first 1000 REGIMS patients were female (69.3%), had relapse-remitting MS (89.8%), and were treated with a second-line therapy. During the implementation of REGIMS, several logistic and procedural challenges had to be overcome, which are outlined in this paper. Pharmacovigilance registries such as REGIMS provide high-quality primary data from a specific patient population in a real-world care setting and enable pharmacovigilance research that cannot be carried out using secondary data. Despite the logistic and procedural challenges in establishing a multicenter pharmacovigilance registry in Germany, the advantages outweigh the drawbacks.
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Project description:BACKGROUND:Information of Previous studies on the prevalence of MS, including our study conducted 12 years ago, used to shape global prevalence map of MS. According to those results, Iran placed in medium-prevalence MS region in the world Atlas of MS 2013.This study aimed to investigate the prevalence of MS in Mazandaran province after 12 years and the need for possible changes in the global map of the prevalence of MS. METHODS:We included all MS patients living in Mazandaran province in 2018 in this descriptive cross-sectional study. We updated our pre-existing registration questionnaires which included demographic information and medical data of MS patients by interview. We obtained the demographic profile of Mazandaran province from the most recent census in 2016 and the National Civil Registry of the Mazandaran province for calculating prevalence of MS. RESULTS:The total number of MS patients in Mazandaran was 2418 (25.8% male and 74.2% female) with a female to male ratio of 2.9. Based on the local population of 3,332,556, (50.4% male and 49.6% female), this study showed a prevalence of 72.5 per 100,000 for MS in this region. The prevalence of this disease by gender was 37.1 per 100,000 for men and 108.5 per 100,000 for women. The mean (SD) age of the patients at the time of the study was 38.5 (10.1) years with a minimum of 15 and a maximum of 75?years. The most common type of MS was Relapsing-Remitting MS with 86%. CONCLUSIONS:All recent studies showed significant upward trend in the prevalence of MS around the world. Based on the results of our study and many other studies in Iran, the Atlas of MS prevalence map needs to be update. Iran's status should be changed to the high-prevalence of MS in the new Atlas. Due to the increasing prevalence of MS, we suggest an adjustment in the Global MS Prevalence Scale.
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