Factors associated with treatment escalation among MS specialists and general neurologists: Results from an International cojoint study

Does serum neurofilament light chain measurement influence therapeutic decisions in multiple sclerosis?

BACKGROUND

The assessment of serum neurofilament light chain (sNfL) concentration in multiple sclerosis (MS) is a useful tool for predicting clinical outcomes and assessing treatment response. However, its use in clinical practice is still limited. We aimed to assess how measurement of sNfL influences neurologists' treatment decisions in MS.

METHODS

We conducted a cross-sectional, web-based study in collaboration with the Spanish Society of Neurology. Neurologists involved in MS care were presented with different simulated case scenarios of patients experiencing either their first demyelinating MS event or a relapsing-remitting MS. The primary outcome was therapeutic inertia (TI), defined as the absence of treatment initiation or intensification despite elevated sNfL levels. Nine cases were included to estimate the TI score (range 0-9, where higher values represented a higher degree of TI).

RESULTS

A total of 116 participants were studied. Mean age (standard deviation-SD) was 41.9 (10.1) years, 53.4 % male. Seventy-eight (67.2 %) were neurologists fully dedicated to the care of demyelinating disorders. Mean (SD) TI score was 3.65 (1.01). Overall, 92.2 % of participants (n = 107) presented TI in at least 2/9 case scenarios. The lack of full dedication to MS care (p = 0.014), preference for taking risks (p = 0.008), and low willingness to adopt evidence-based innovations (p = 0.009) were associated with higher TI scores in the multivariate analysis after adjustment for confounders.

CONCLUSION

TI was a common phenomenon among neurologists managing MS patients when faced with the decision to initiate or escalate treatment based on elevated sNfL levels. Identifying factors associated with this phenomenon may help optimize treatment decisions in MS care.

Treatment response amplitude and timing in chronic inflammatory demyelinating polyneuropathy with routine care: Study of a UK cohort

BACKGROUND AND PURPOSE

The amplitude, timing, and determinants of improvement with available treatments are uncertain in chronic inflammatory demyelinating polyneuropathy (CIDP). Our primary objective was to quantify categorized outcomes with routine care.

METHODS

We retrospectively studied treatment response within 36 months from initiation in 112 consecutive subjects with CIDP. Response was classified into a proposed new "CIDP treatment-response category" (CT-RC), based on achieved endpoints. Determinants of the CT-RC, of timing of maximum improvement, and of treatment discontinuation were ascertained.

RESULTS

The CT-RC demonstrated high concurrent validity with current outcome measures. Thirty-six subjects (32.1%) achieved a "complete response," 37 (33%) a "good partial response," 10 (8.9%) a "moderate partial response," and 15 (13.4%) a "poor partial response." Fourteen subjects (12.5%) were "nonresponsive." The CT-RC was independently predicted only by age. Mean time to maximum improvement was 12.1 months (range = 1-36) and was not associated with any pretreatment covariate. Treatment discontinuation occurred in 24 of 62 (38.2%) partial responders and was only associated with shorter pretreatment disease duration. Nonresponders were older and received a similar number of treatments compared to responders.

CONCLUSIONS

CT-RC classification indicates persistent disability in >60% of treatment responders in CIDP. Timing of maximum improvement is variable, frequently delayed, and unpredictable. Treatment withdrawal without deterioration is achievable in approximately 40% of subjects and may be more likely with prompt treatment. Treatment withdrawal in partial responders and limited escalation in nonresponders suggest implication of physician- and patient-related factors in suboptimal response. More effective treatments/treatment methods and better understanding of other factors influencing response are needed in CIDP.

Insights for Healthcare Providers on Shared Decision-Making in Multiple Sclerosis: A Narrative Review

Shared decision-making (SDM) between the patient and their healthcare provider (HCP) in developing treatment plans is increasingly recognized as central to improving treatment adherence and, ultimately, patient outcomes. In multiple sclerosis (MS), SDM is particularly crucial for optimizing treatment in a landscape that has grown more complex with the availability of newer, high-efficacy MS therapies. However, little direct evidence on the effectiveness of SDM is available to guide practice. Multiple factors, including patient age, ethnic background, perceptions, invisible MS symptoms, and psychological comorbidities can influence a patient's willingness and ability to participate in SDM. HCPs need to appreciate these factors and ask the right questions to break down obstacles to SDM. The HCP has a responsibility to help patients feel adequately informed and comfortable in having an active role in their care. This review identifies potential barriers to SDM and provides a strategy for HCPs to overcome these obstacles through patient (and caregiver) discussions to ensure optimal patient satisfaction with treatment and thus the best possible outcomes for their patients.

Design of a Non-Interventional Study to Assess Neurologists' Perspectives and Pharmacological Treatment Decisions in Early Alzheimer's Disease

INTRODUCTION

The current therapeutic landscape of Alzheimer's disease (AD) is evolving rapidly. Our treatment options include new anti-amyloid-β protein disease-modifying therapies (DMTs) that decrease cognitive decline in patients with early AD (prodromal and mild AD dementia). Despite these advances, we have limited information on how neurologists would apply the results of recent DMT trials to make treatment decisions. Our goal is to identify factors associated with the use of new AD DMTs among neurologists applying concepts from behavioral economics.

METHODS

This non-interventional, cross-sectional, web-based study will assess 400 neurologists with expertise in AD from across Spain. Participants will start by completing demographic information, practice settings, and a behavioral battery to address their tolerance to uncertainty and risk preferences. Participants will then be presented with 10 simulated case scenarios or vignettes of common encounters in patients with early AD to evaluate treatment initiation with anti-amyloid-β DMTs (e.g., aducanumab, lecanemab, etc.). The primary outcomes will be therapeutic inertia and suboptimal decisions. Discrete choice experiments will be used to determine the weight of factors influencing treatment choices.

RESULTS

The results of this study will provide new insights into a better understanding of the most relevant factors associated with therapeutic decisions on the use of DMTs, assessing how neurologists handle uncertainty when making treatment choices, and identifying the prevalence of therapeutic inertia in the management of early AD.