Preconception health and disability status among women in NHANES, 2013–2018

ABSTRACTObjectives: The objectives of this study were to assess the prevalence of temporomandibular disorders (TMDs) in patients with relapsing-remitting multiple sclerosis (MS) and to investigate whether an association exists between the presence of TMD symptoms and the degree of MS-related disability. Materials and Methods: In all, 120 individuals were evaluated: 60 patients with a diagnosis of relapsing-remitting MS and 60 age- and sex-matched controls without neurological impairments. A questionnaire recommended by the European Academy of Craniomandibular Disorders for the assessment of TMD symptoms was administered. For those who answered affirmatively to at least one of the questions, the RDC/TMD Axis I instrument was used for a possible classification of TMD subtypes. The Expanded Disability Status Scale (EDSS) was the measure of the degree of MS-related disability. Statistical Analysis Used: Fisher’s exact test was used to analyze the data. ANOVA was used to detect significant differences between means and to assess whether the factors influenced any of the dependent variables by comparing means from the different groups. Results: The prevalence of TMD symptoms in patients with MS was 61.7% versus 18.3% in the control group (CG). A diagnosis of TMD was established for 36.7% in the MS group and 3.3% in the CG (P = 0.0001). There were statistically significant differences between degrees of MS-related disability and the prevalence of TMD (P = 0.0288). Conclusions: The prevalence of both TMD and TMD symptoms was significantly greater in the MS group. EDSS scores and TMD prevalence rates were inversely related.

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Brain atrophy and clinical characteristics predicting SDMT performance in multiple sclerosis: A 10-year follow-up study

Multiple Sclerosis Journal - Experimental Translational and Clinical ◽

10.1177/2055217321992394 ◽

2021 ◽

Vol 7 (1) ◽

pp. 205521732199239

Author(s):

Cecilie Jacobsen ◽

Robert Zivadinov ◽

Kjell-Morten Myhr ◽

Turi O Dalaker ◽

Ingvild Dalen ◽

...

Keyword(s):

Clinical Data ◽

Grey Matter Volume ◽

Lesion Volume ◽

Information Processing Speed ◽

Disability Status ◽

Mri Scans ◽

Patients At Risk ◽

Magnetic Resonance Imaging Mri ◽

Specific Volumes

Objectives To identify Magnetic Resonance Imaging (MRI), clinical and demographic biomarkers predictive of worsening information processing speed (IPS) as measured by Symbol Digit Modalities Test (SDMT). Methods Demographic, clinical data and 1.5 T MRI scans were collected in 76 patients at time of inclusion, and after 5 and 10 years. Global and tissue-specific volumes were calculated at each time point. For the primary outcome of analysis, SDMT was used. Results Worsening SDMT at 5-year follow-up was predicted by baseline age, Expanded Disability Status Scale (EDSS), SDMT, whole brain volume (WBV) and T2 lesion volume (LV), explaining 30.2% of the variance of SDMT. At 10-year follow-up, age, EDSS, grey matter volume (GMV) and T1 LV explained 39.4% of the variance of SDMT change. Conclusion This longitudinal study shows that baseline MRI-markers, demographic and clinical data can help predict worsening IPS. Identification of patients at risk of IPS decline is of importance as follow-up, treatment and rehabilitation can be optimized.

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Determinants of therapeutic lag in multiple sclerosis

Multiple Sclerosis Journal ◽

10.1177/1352458520981300 ◽

2021 ◽

pp. 135245852098130

Author(s):

Izanne Roos ◽

Emmanuelle Leray ◽

Federico Frascoli ◽

Romain Casey ◽

J William L Brown ◽

...

Keyword(s):

Multiple Sclerosis ◽

Expanded Disability Status Scale ◽

Disability Progression ◽

Delayed Onset ◽

Disease Characteristics ◽

Disability Status ◽

Male Sex ◽

Pre Treatment ◽

Patient Subgroups

Background: A delayed onset of treatment effect, termed therapeutic lag, may influence the assessment of treatment response in some patient subgroups. Objectives: The objective of this study is to explore the associations of patient and disease characteristics with therapeutic lag on relapses and disability accumulation. Methods: Data from MSBase, a multinational multiple sclerosis (MS) registry, and OFSEP, the French MS registry, were used. Patients diagnosed with MS, minimum 1 year of exposure to MS treatment and 3 years of pre-treatment follow-up, were included in the analysis. Studied outcomes were incidence of relapses and disability accumulation. Therapeutic lag was calculated using an objective, validated method in subgroups stratified by patient and disease characteristics. Therapeutic lag under specific circumstances was then estimated in subgroups defined by combinations of clinical and demographic determinants. Results: High baseline disability scores, annualised relapse rate (ARR) ⩾ 1 and male sex were associated with longer therapeutic lag on disability progression in sufficiently populated groups: females with expanded disability status scale (EDSS) < 6 and ARR < 1 had mean lag of 26.6 weeks (95% CI = 18.2–34.9), males with EDSS < 6 and ARR < 1 31.0 weeks (95% CI = 25.3–36.8), females with EDSS < 6 and ARR ⩾ 1 44.8 weeks (95% CI = 24.5–65.1), and females with EDSS ⩾ 6 and ARR < 1 54.3 weeks (95% CI = 47.2–61.5). Conclusions: Pre-treatment EDSS and ARR are the most important determinants of therapeutic lag.

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