Hopelessness is a risk factor for depression and suicide. There is little information on this phenomenon among patients with relapsing-remitting multiple sclerosis (RRMS), one of the most common ...causes of disability and loss of autonomy in young adults. The aim of this study was to assess state hopelessness and its associated factors in early-stage RRMS.
A multicenter, non-interventional study was conducted. Adult patients with a diagnosis of RRMS, a disease duration ≤ 3 years, and an Expanded Disability Status Scale (EDSS) score of 0-5.5 were included. The State-Trait Hopelessness Scale (STHS) was used to measure patients´ hopelessness. A battery of patient-reported and clinician-rated measurements was used to assess clinical status. A multivariate logistic regression analysis was conducted to determine the association between patients' characteristics and state hopelessness.
A total of 189 patients were included. Mean age (standard deviation-SD) was 36.1 (9.4) years and 71.4% were female. Median disease duration (interquartile range-IQR) was 1.4 (0.7, 2.1) years. Symptom severity and disability were low with a median EDSS (IQR) score of 1.0 (0, 2.0). A proportion of 65.6% (n=124) of patients reported moderate-to-severe hopelessness. Hopelessness was associated with older age (p=0.035), depressive symptoms (p=<0.001), a threatening illness perception (p=0.001), and psychological and cognitive barriers to workplace performance (p=0.029) in the multivariate analysis after adjustment for confounders.
Hopelessness was a common phenomenon in early-stage RRMS, even in a population with low physical disability. Identifying factors associated with hopelessness may be critical for implementing preventive strategies helping patients to adapt to the new situation and cope with the disease in the long term.
Introduction
Teriflunomide is a once-daily oral immunomodulator approved for relapsing forms of multiple sclerosis (MS) or relapsing–remitting multiple sclerosis (RRMS; depending on the local label), ...based on extensive evidence from clinical trials and a real-world setting on efficacy, tolerability and patient-reported benefits. The TERICARE study assessed the impact of teriflunomide treatment over 2 years on health-related quality of life (HRQoL) and some of the most common and disabling symptoms of MS, such as fatigue and depression.
Methods
This prospective observational study in Spain included RRMS patients treated with teriflunomide for ≤ 4 weeks. The following patient-reported outcomes (PROs) were collected at baseline and every 6 months for 2 years: the 29-item Multiple Sclerosis Impact Scale version 2 (MSIS-29), the 21-item Modified Fatigue Impact Scale (MFIS-21), the Beck Depression Inventory (BDI-II), the Short Form (SF)-Qualiveen and the Treatment Satisfaction Questionnaire for Medication v1.4 (TSQM). Annualised relapse rate (ARR), disability progression according to the Expanded Disability Status Scale (EDSS), and no evidence of disease activity (NEDA-3) were also assessed.
Results
A total of 325 patients were analysed. Patients had a mean (SD) age of 43.2 years (10.4), a mean baseline EDSS score of 1.75 (1.5), a mean number of relapses in the past 2 years of 1.5 (0.7), and 64% had received prior disease-modifying therapy (DMT). Patients showed significant improvements in the psychological domain of MSIS-29 from 35.9 (26.6) at baseline to 29.4 (25.5) at 18 months (
p
= 0.004) and 29.0 (24.6) at 24 months (
p
= 0.002). Levels of fatigue and depression were also reduced. After 2 years of treatment with teriflunomide, ARR was reduced to 0.17 (95% CI 0.14–0.21) from the baseline of 0.42 (95% CI 0.38–0.48), representing a 60.1% reduction. Mean EDSS scores remained stable during the study, and 79.9% of patients showed no disability progression. 54.7% of patients achieved NEDA-3 in the first 12 months, which increased to 61.4% during months 12–24. Patients reported increased satisfaction with treatment over the course of the study, regardless of whether they were DMT naive or not.
Conclusion
Teriflunomide improves psychological aspects of HRQoL and maintains low levels of fatigue and depression. Treatment with teriflunomide over 2 years is effective in reducing ARR and disability progression.
Abstract
Geographical variations in the incidence and prevalence of multiple sclerosis have been reported globally. Latitude as a surrogate for exposure to ultraviolet radiation but also other ...lifestyle and environmental factors are regarded as drivers of this variation. No previous studies evaluated geographical variation in the risk of secondary progressive multiple sclerosis, an advanced form of multiple sclerosis that is characterized by steady accrual of irreversible disability.
We evaluated differences in the risk of secondary progressive multiple sclerosis in relation to latitude and country of residence, modified by high-to-moderate efficacy immunotherapy in a geographically diverse cohort of patients with relapsing-remitting multiple sclerosis. The study included relapsing-remitting multiple sclerosis patients from the global MSBase registry with at least one recorded assessment of disability. Secondary progressive multiple sclerosis was identified as per clinician diagnosis. Sensitivity analyses used the operationalized definition of secondary progressive multiple sclerosis and the Swedish decision tree algorithm. A proportional hazards model was used to estimate the cumulative risk of secondary progressive multiple sclerosis by country of residence (latitude), adjusted for sex, age at disease onset, time from onset to relapsing-remitting phase, disability (Multiple Sclerosis Severity Score) and relapse activity at study inclusion, national multiple sclerosis prevalence, government health expenditure, and proportion of time treated with high-to-moderate efficacy disease-modifying therapy. Geographical variation in time from relapsing-remitting phase to secondary progressive phase of multiple sclerosis was modelled through a proportional hazards model with spatially correlated frailties.
We included 51 126 patients (72% female) from 27 countries. The median survival time from relapsing-remitting phase to secondary progressive multiple sclerosis among all patients was 39 (95% confidence interval: 37 to 43) years. Higher latitude median hazard ratio = 1.21, 95% credible interval (1.16, 1.26), higher national multiple sclerosis prevalence 1.07 (1.03, 1.11), male sex 1.30 (1.22, 1.39), older age at onset 1.35 (1.30, 1.39), higher disability 2.40 (2.34, 2.47) and frequent relapses 1.18 (1.15, 1.21) at inclusion were associated with increased hazard of secondary progressive multiple sclerosis. Higher proportion of time on high-to-moderate efficacy therapy substantially reduced the hazard of secondary progressive multiple sclerosis 0.76 (0.73, 0.79) and reduced the effect of latitude interaction: 0.95 (0.92, 0.99). At the country-level, patients in Oman, Tunisia, Iran and Canada had higher risks of secondary progressive multiple sclerosis relative to the other studied regions.
Higher latitude of residence is associated with a higher probability of developing secondary progressive multiple sclerosis. High-to-moderate efficacy immunotherapy can mitigate some of this geographically co-determined risk.
By analysing longitudinal data from 27 countries, Sharmin et al. reveal a geographically varying risk of conversion to secondary progressive disease in patients with multiple sclerosis. Higher latitude of residence increases the risk while high-to-moderate efficacy immunotherapies reduce the risk substantially.
Multiple sclerosis is one of the most common causes of neurological disability in young adults with major consequences for their autonomy and capacity to maintain employment.
The aim of this study ...was to assess the impact on work productivity in early-stage relapsing-remitting multiple sclerosis (RRMS).
A multicenter, non-interventional study was conducted. Adult patients with a diagnosis of RRMS, a disease duration ≤ 3 years, and an Expanded Disability Status Scale (EDSS) score of 0–5.5 were included. Absenteeism, presenteeism, and unpaid work loss due to RRMS were measured using the Valuation of Lost Productivity (VOLP) questionnaire. The EDSS, SymptoMScreen, 5-item Modified Fatigue Impact Scale, Hospital Anxiety and Depression Scale, Symbol Digit Modalities Test, and Multiple Sclerosis Work Difficulties Questionnaire were used to gather information on disability, patients’ perception of symptom severity, fatigue, mood/anxiety, cognition, and problems in the workplace, respectively. Associations between the VOLP and clinical and work outcomes were analyzed using Spearman's rank correlations.
A total of 189 patients were included. Mean age (SD) was 36.1 ± 9.4 years and 71.4% were female. Mean disease duration was 1.2 ± 0.8 years. Median EDSS score was 1.0 (IQR 0, 2.0). One hundred thirty patients (68.8%) were working for pay or self-employed. Fifty-three patients (40.8%) reported absence from work in the past 3 months with an average of 14.3 absent workdays. Their health problems resulted in the loss of 3.4% of their actual work time in the past 7 days. Thirty patients got help (11.8 h) with their unpaid work activities in the past 7 days. Absenteeism was significantly correlated with anxiety and depression (rho=0.298 and 0.291, p<0.001), fatigue (rho=0.214, p = 0.014), and symptom severity (rho=0.213, p = 0.015). Presenteeism was significantly correlated with fatigue (rho=0.375, p<0.001), symptom severity (rho=0.373, p<0.001), depression (rho=0.263, p = 0.008), and disability (rho=0.215, p = 0.031).
Productivity loss even in a RRMS population with short disease duration stresses the need for more efficient treatment control of disease activity from earlier stages.
•Patients’ preferences should be considered in RRMS treatment decisions.•We aimed to understand factors driving status quo bias in early-stage RRMS patients.•Over forty percent of patients suffer ...cognitive delays in the early stages of RRMS.•Despite evidence of disease progression, patients tend to maintain their treatment.•Disease severity perception and cognitive delays affect patients’ treatment choices.
The evolving therapeutic landscape requires more participation of patients with relapsing remitting multiple sclerosis (RRMS) in treatment decisions. The aim of this study was to assess the association between patient's self-perception, cognitive impairment and behavioral factors in treatment choices in a cohort of patients at an early stage of RRMS.
We conducted a multicenter, non-interventional study including adult patients with a diagnosis of RRMS, a disease duration ≤18 months and receiving care at one of the 21 participating MS centers from across Spain. We used patient-reported measures to gather information on fatigue, mood, quality of life, and perception of severity of their MS. Functional metrics (Expanded Disability Status Scale EDSS, cognitive function by the Symbol Digit Modalities Test SDMT, 25-foot walk test) and clinical and radiological data were provided by the treating neurologist. The primary outcome of the study was status quo (SQ) bias, defined as participant's tendency to continue taking a previously selected but inferior treatment when intensification was warranted. SQ bias was assessed based on participants treatment preference in six simulated RRMS case scenarios with evidence of clinical relapses and radiological disease progression.
Of 189 participants who met the inclusion criteria, 188 (99.5%) fully completed the study. The mean age was 36.6 ± 9.5 years, 70.7% female, mean disease duration: 1.2 ± 0.8 years, median EDSS score: 1.0 IQR=0.0–2.0). Overall, 43.1% patients (n = 81/188) had an abnormal SDMT (≤49 correct answers). SQ bias was observed in at least one case scenario in 72.3% (137/188). Participant's perception of their MS severity was associated with higher SQ bias (β coeff 0.042; 95% CI 0.0074–0.076) among those with delayed cognitive processing. Higher baseline EDSS and number of T2 lesions were predictors of delayed processing speed (OR EDSS=1.57, 95% CI: 1.11–2.21, p = 0.011; OR T2 lesions=1.50, 95% CI: 1.11–2.03, p<0.01). Bayesian multilevel model accounting for clustering showed that delayed cognitive processing (exp coeff 1.06; 95% CI 1.04–1.09) and MS symptoms severity (exp coeff 1.28; 95% CI 1.22–1.33) were associated with SQ bias.
Over 40% of patients in earlier stages of RRMS experience delays in cognitive processing that might affect their decision-making ability. Our findings suggest that patients' self-perception of disease severity combined with a delay in cognitive processing would affect treatment choices leading to status quo bias early in the course of their disease.
•Unpredictable multiple sclerosis (MS) course causes uncertainty in patients and their families.•Patients prefer to discuss their long-term prognosis shortly after diagnosis.•However, most patients ...had not discussed prognosis with their neurologists.•Information on long-term prognosis may help patients deal with their MS.
Multiple sclerosis is one of the most common causes of neurological disability in young adults with major consequences for their future lives. Improving communication strategies on prognosis may help patients deal with the disease and adjust their long-term life goals. However, there is limited information on patients’ preferences of long-term prognosis (LTP) communication and associated factors.
The aim of this study was to describe patients’ preferences and assess the factors associated with LTP communication preferences in early-stage relapsing-remitting multiple sclerosis (RRMS) patients.
A multicenter, non-interventional study was conducted. Adult patients with a diagnosis of RRMS, a disease duration from first attack ≤ 3 years, and an Expanded Disability Status Scale (EDSS) score of 0-5.5 were included. The Prognosis in MS questionnaire was used to assess how much patients want to know about their LTP. Different patient-reported measures were administered to gather information on symptom severity, pain, fatigue, mood/anxiety, quality of life, stigma, illness perception, feeling of hopelessness, self-efficacy, information avoidance and coping strategies. Cognition was assessed using the Symbol Digit Modalities Test (SDMT). A multivariate logistic regression analysis was performed to assess the association between LTP information preference and demographic and clinical characteristics, as well as patients’ perspectives.
A total of 189 patients were included (mean age: 36.1 ± 9.4 years, 71.4% female, mean disease duration: 1.2 ± 0.8 years). Median EDSS score was 1.0 (IQR = 0.0-2.0). A proportion of 68.5% (n = 126) of patients had never discussed LTP with their neurologists, whereas 69.2% (n = 126) reported interest in knowing it (73.5% at diagnosis). Bivariate analyses suggested that patients were significantly more likely to have higher LTP information preferences if they were male and had a lower SDMT score. Male gender and a lower SDMT score were predictors of LTP information preferences.
Patients with early-stage RRMS want to discuss their LTP shortly after diagnosis. Understanding the factors involved may be useful to design individualized communication strategies.
Disability accrual is mainly driven by progression independent of relapse activity, which is present even in early stages of relapsing-remitting multiple sclerosis (RRMS) and sometimes overlooked. ...This multicenter, non-interventional study evaluated whether patient-reported outcomes measures (PROMs) could capture disability in 189 early-stage RRMS patients (mean age: 36.1 ± 9.4 years, 71.4% female, mean disease duration: 1.4 ± 0.8 years, median EDSS: 1.0). The 9-Hole Peg Test (9-HPT), NeuroQoL Upper Extremity (NeuroQoL-UE), Timed 25-Foot Walk (T25-FW), Multiple Sclerosis Walking Scale (MSWS-12), Symbol Digit Modalities Test (SDMT), and Perceived Deficits Questionnaire (PDQ-5) were used to assess hand function, gait, and cognition, respectively. These functions were at least mildly affected in this early-stage population, finding significant correlations between PROMs and clinical assessments. PROMs could enable early-stage RRMS patients to communicate their perceived disability in different domains, assisting clinicians in disease monitoring and decision making.
