scholarly journals The Effect of Body Mass Index on Brain Volume and Cognitive Function in Relapsing–Remitting Multiple sclerosis: A CombiRx Secondary Analysis

2021 ◽  
Vol 13 ◽  
pp. 117957352110421
Author(s):  
Aliza Bitton Ben-Zacharia ◽  
Malvin N. Janal ◽  
Abraham A. Brody ◽  
Jerry Wolinsky ◽  
Fred Lublin ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Cognitive Function ◽  
Body Mass ◽  
Multivariate Regression ◽  
Mixed Model ◽  
Brain Volume ◽  
Relapsing Remitting ◽  
The Mean ◽  
The Impact

Background Multiple sclerosis (MS) is an autoimmune disease leading to physical, emotional and cognitive disability. High body mass index (BMI) may impact cognitive function and brain volume in MS. Yet, there is paucity of evidence addressing the impact of BMI on cognitive function and brain volume in MS. Objectives The purpose of this study was to examine the effects of BMI on normal appearing brain volume and cognitive function in patients with relapsing–remitting MS. Methods A secondary data analysis of the NIH CombiRx study was conducted. Multivariate regression and mixed model analyses were executed to analyze the effect of BMI on brain volume and cognitive function. Results The mean baseline age of the 768 participants was 38.2(SD = 9.4) years. 73% were female and 88.8% were Caucasian. The mean BMI was 28.8 kg/m2(SD = 6.7). The multivariate regression and mixed model analyses failed to show a clinical effect of BMI on brain volume and cognitive function. Conclusion BMI did not show an effect on cognitive function and brain volume among MS patients. Although there is increased interest in the effects of modifiable factors on the course of MS, the effects of BMI on brain volume and cognitive function are debatable and warrant further research. ClinicalTrials.gov NCT00211887

scholarly journals Impact of Body Mass Index on the Age of Relapsing-Remitting Multiple Sclerosis Onset: A Retrospective Study

2021 ◽  
Vol 13 (4) ◽  
pp. 517-526
Author(s):  
Vasileios Siokas ◽  
Konstantinos Katsiardanis ◽  
Athina-Maria Aloizou ◽  
Christos Bakirtzis ◽  
Ioannis Liampas ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Linear Regression ◽  
Body Mass ◽  
Linear Regression Analysis ◽  
Disease Onset ◽  
Demographic Characteristics ◽  
Categorical Variables ◽  
Relapsing Remitting ◽  
The Impact

A BACKROUND: Multiple sclerosis (MS) is a complex chronic disease of the central nervous system (CNS). Body mass index (BMI), a component of metabolic syndrome (MetS), is considered among the risk factors for MS. However, its role in MS remains ambiguous. OBJECTIVE: To examine the impact of BMI on the age of onset in patients with relapsing-remitting MS (RRMS) in a Greek cohort. METHODS: Data from 821 Greek patients with RRMS were collected. The BMI values were considered as quartiles. Comparisons for the demographic characteristics between the quartiles were made by Pearson’s chi-square test for the categorical variables and by ANOVA for the continuous variables. An overall p-value was calculated corresponding to trend for association. In case of significant association, further post-hoc analysis was performed in order to identify differences in demographic characteristics between specific BMI quartiles groups. Linear regression analyses were used to assess the relationship between BMI and age at onset of MS. RESULTS: Comparisons of participant characteristics by quartiles of BMI revealed that participants with the highest BMI had an older age of disease onset. Results from linear regression analysis showed that with each increase of 1 BMI unit, the age of RRMS onset increases by 0.255 (95% CI 0.136 to 0.374) years, p < 0.001. CONCLUSIONS: Patients with higher BMI, as a parameter of MetS, exhibit increased age of RRMS onset. Our results may present an alternative personalized approach for diagnosis, prognosis, and/or prevention of RRMS.

scholarly journals Multiple Sclerosis Wellness Shared Medical Appointment Model: A Pilot Study

2021 ◽  
Author(s):  
Justin R. Abbatemarco ◽  
Jeffrey A. Cohen ◽  
Belinda L. Udeh ◽  
Sunakshi Bassi ◽  
Mary R. Rensel
Keyword(s):  
Multiple Sclerosis ◽  
Health Care ◽  
Body Mass Index ◽  
Health Care Utilization ◽  
Body Mass ◽  
Private Insurance ◽  
Emergency Department Visits ◽  
Care Utilization ◽  
Patient Reported ◽  
The Impact

Abstract Background: Shared medical appointments (SMAs) are group medical visits combining medical care and patient education. We examined the impact of a wellness-focused pilot SMA in a large multiple sclerosis (MS) clinic. Methods: We reviewed data on all patients who participated in the SMA from January 2016 through June 2019. Data were collected 12 months pre/post SMA; included demographics, body mass index, patient-reported outcomes, and health care utilization; and were compared using Wilcoxon rank sum test. Results: Fifty adult patients (mean ± SD age, 50.1 ± 12.3 years) attended at least one MS wellness SMA. Most patients had private insurance (50%), and 26% had Medicaid coverage. The most common comorbidity was depression/anxiety (44%). Pre/post SMA outcomes showed a small but significant reduction in body mass index (30.2 ± 7.3 vs 28.8 ± 7.1, P = .03), and Patient Health Questionnaire-9 scores decreased from 7.3 ± 5.5 to 5.1 ± 5.6 (P = .001). The number of emergency department visits decreased from 13 to two (P = .0005), whereas follow-up visits increased with an attendees’ primary care provider from 19 to 41 (P &lt; .001), physical therapist from 15 to 27 (P = .004), and psychologist from six to 19 (P = .003). Conclusions: This pilot MS wellness SMA was associated with improved physical and psychological outcomes. There was increased, lower-cost health care utilization with reduced acute, high-cost health care utilization, suggesting that SMAs may be a cost-effective and beneficial method in caring for patients with MS.

scholarly journals The Impact of Body Mass Index on Disease Progression in Ankylosing Spondylitis

2018 ◽  
Vol 72 (1) ◽  
pp. 23-28
Author(s):  
Jūlija Zepa ◽  
Inita Buliņa ◽  
Vladimirs Lavrentjevs ◽  
Ilze Vīnkalna ◽  
Liene Ņikitina-Zaķe ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Body Mass ◽  
Functional Disability ◽  
Activity Index ◽  
Spinal Mobility ◽  
Peripheral Arthritis ◽  
The Mean ◽  
The Impact

Abstract Obesity can be a factor that affects the course of chronic systemic inflammatory arthritis. The objective of this study was to characterise patients with ankylosing spondylitis (AS) according to an evaluation of their body mass index (BMI) and by exploring the link between the overweightness and obesity with routinely measured disease-specific variables, including disease activity (Bath Ankylosing Spondylitis Disease Activity Index BASDAI; Ankylosing Spondylitis Disease Activity Score, using CRP, ASDAScrp), spinal mobility (Bath Ankylosing Spondylitis Metrology Index, BASMI), functional capacity (BASFI), extraspinal manifestations like fatigue, uveitis, and peripheral arthritis present during the course of the disease. A total of 107 patients were included in the cross-sectional study fulfilling the modified New York criteria for AS. Patients were divided into three groups: with the evaluation of BMI ≤ 24.9, 25.0–29.9 (overweight) and ≥ 30.0 (obesity). The mean BMI was 25.13 (SD 4.07). 33% of patients were overweight and 15% were obese. The mean values of age, duration of AS, ASDAScrp, BASDAI, Bath Ankylosing Spondylitis Functional Index (BASFI), BASMI, pain in spine, and fatigue in the group with BMI ≤ 24.9 were lower than in the other groups (p < 0.05). There was no difference between groups in age of AS onset, uveitis and peripheral arthritis. AS patients who were overweight or obese had a higher level of the disease activity, pain, fatigue, functional disability and spinal mobility impairment with worse values in the case of obesity.

scholarly journals Body Mass Index in Multiple Sclerosis: Associations with CSF Neurotransmitter Metabolite Levels

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Manolis Markianos ◽  
Maria-Eleftheria Evangelopoulos ◽  
Georgios Koutsis ◽  
Panagiota Davaki ◽  
Constantinos Sfagos
Keyword(s):  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Body Mass ◽  
Body Height ◽  
Disease Process ◽  
Disability Score ◽  
Duration Of Illness ◽  
Relapsing Remitting ◽  
Relapsing Remitting Multiple Sclerosis ◽  
Age Range

Body weight and height of patients with relapsing-remitting multiple sclerosis (RRMS) or clinically isolated syndrome suggesting MS (CIS) in the age range 18 to 60 years (154 males and 315 females) were compared with those of subjects (146 males and 212 females) free of any major neurological disease. In drug-free patients, CSF levels of the metabolites of noradrenaline (MHPG), serotonin (5-HIAA), and dopamine (HVA), neurotransmitters involved in eating behavior, were estimated in searching for associations with body mass index (BMI). Statistical evaluations were done separately for males and females. Lower BMI was found in female MS patients compared to female controls, more pronounced in RRMS. BMI was not associated with duration of illness, smoking, present or previous drug treatment, or disability score. Body height showed a shift towards greater values in MS patients compared to controls. Patients in the lower BMI quartile (limits defined from control subjects) had lower 5-HIAA and HVA compared to patients in the upper quartile. The results provide evidence for weight reduction during disease process in MS, possibly related to deficits in serotoninergic and dopaminergic activities that develop during disease course, resulting in impairments in food reward capacity and in motivation to eat.

scholarly journals Inclusion of brain volume loss in a revised measure of ‘no evidence of disease activity’ (NEDA-4) in relapsing–remitting multiple sclerosis

2016 ◽  
Vol 22 (10) ◽  
pp. 1297-1305 ◽  
Author(s):  
Ludwig Kappos ◽  
Nicola De Stefano ◽  
Mark S Freedman ◽  
Bruce AC Cree ◽  
Ernst-Wilhelm Radue ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Disease Activity ◽  
Brain Volume ◽  
Objective Measure ◽  
Volume Loss ◽  
Brain Volume Loss ◽  
Relapsing Remitting ◽  
Relapsing Remitting Multiple Sclerosis ◽  
The Impact

Background: ‘No evidence of disease activity’ (NEDA), defined as absence of magnetic resonance imaging activity (T2 and/or gadolinium-enhanced T1 lesions), relapses and disability progression (‘NEDA-3’), is used as a comprehensive measure of treatment response in relapsing multiple sclerosis (RMS), but is weighted towards inflammatory activity. Accelerated brain volume loss (BVL) occurs in RMS and is an objective measure of disease worsening and progression. Objective: To assess the contribution of individual components of NEDA-3 and the impact of adding BVL to NEDA-3 (‘NEDA-4’) Methods: We analysed data pooled from two placebo-controlled phase 3 fingolimod trials in RMS and assessed NEDA-4 using different annual BVL mean rate thresholds (0.2%–1.2%). Results: At 2 years, 31.0% (217/700) of patients receiving fingolimod 0.5 mg achieved NEDA-3 versus 9.9% (71/715) on placebo (odds ratio (OR) 4.07; p < 0.0001). Adding BVL (threshold of 0.4%), the respective proportions of patients achieving NEDA-4 were 19.7% (139/706) and 5.3% (38/721; OR 4.41; p < 0.0001). NEDA-4 status favoured fingolimod across all BVL thresholds tested (OR 4.01–4.41; p < 0.0001). Conclusion: NEDA-4 has the potential to capture the impact of therapies on both inflammation and neurodegeneration, and deserves further evaluation across different compounds and in long-term studies.

scholarly journals AB0769 THE IMPACT OF BODY MASS INDEX ON DISEASE ACTIVITY AND ENTHESITIS IN PSORIATIC ARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1682.2-1683
Author(s):  
S. Ganhão ◽  
B. M. Fernandes ◽  
S. Garcia ◽  
F. Pinheiro ◽  
M. Rato ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Psoriatic Arthritis ◽  
Disease Activity ◽  
Body Mass ◽  
Negative Impact ◽  
Public Health Problem ◽  
Continuous Variables ◽  
Das 28 ◽  
The Mean ◽  
The Impact

Background:Overweight/obesity has increased exponentially in the last decades, becoming a huge Public Health problem. Moreover, an increase in adipose tissue is associated with an increased production of several proinflammatory cytokines and acute phase reactants. Higher BMI has been related with new bone formation including syndesmophytes and enthesophytes. In fact, besides rheumatologic conditions including Psoriatic Arthritis (PsA), enthesopathy can be a consequence of several clinical conditions including metabolic syndrome, mechanical injuries and degeneration.Objectives:To evaluate the effect of body mass index (BMI) on disease activity scores and enthesitis scores in Psoriatic Arthritis.Methods:Retrospective study including all the patients with PsA meeting the CASPAR criteria, beginning first-line biologic therapy at our centre. Demographic and clinical data were collected from the Portuguese database Reumapt. Statistical analysis was performed with SPSS. Continuous variables were compared through Spearman/Pearson correlations.Results:The mean BMI was 26.8 (SD 0.5). In our sample of 119 PsA patients, 21.5% were overweight and 8.3% were obese. The mean age of patients was 46.3 ± 1.03 years; 60 female and 59 male. The median disease duration was 6.8 (0.3-33.8) years. At baseline mean (SD) disease activity variables were: DAS 28 4vESR 4.9 (0.2), ESR 33.2 (2.3) mm/h; CRP 2.35 (0.3) mg/dL, BASDAI 6.6 (0.2), ASDAS 3.9 (0.1), BASMI 3.7 (0.2), BASFI 5.8 (0.3), MASES 1.9 (0.3), SPARCC 2.3 (0.3). There were statistically significant positive correlations between BMI and MASES at baseline (p=0.024, r=0.411) but there weren’t with SPARCC, DAS 28 4vESR, ESR, CRP, BASDAI, ASDAS, BASMI and BASFI.Conclusion:The data showed that patients with higher BMI values had higher enthesitis scores suggesting that overweight/obesity may have a negative impact on enthesopathy. Further studies are still needed to further understand that possible relationship.References:[1]Bakirci S, Dabague J, Eder L, McGonagle D, Aydin SZ. The role of obesity on inflammation and damage in spondyloarthritis: a systematic literature review on body mass index and imaging. Clin Exp Rheumatol. 2019 Apr 29.Disclosure of Interests:Sara Ganhão: None declared, Bruno Miguel Fernandes: None declared, Salomé Garcia: None declared, Filipe Pinheiro: None declared, Maria Rato: None declared, Eva Mariz: None declared, Miguel Bernardes Speakers bureau: Abbvie, Amgen, Biogen, Eli-Lilly, Glaxo-Smith-Kline, Pfizer, Janssen, Novartis, Lúcia Costa: None declared

scholarly journals Association of smoking but not HLA-DRB1*15:01, APOE or body mass index with brain atrophy in early multiple sclerosis

2018 ◽  
Vol 25 (5) ◽  
pp. 661-668 ◽  
Author(s):  
Christiane Graetz ◽  
Adriane Gröger ◽  
Felix Luessi ◽  
Anke Salmen ◽  
Daniela Zöller ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Disease Severity ◽  
Body Mass ◽  
Gray Matter ◽  
Structural Mri ◽  
Individual Variability ◽  
Nucleotide Polymorphisms ◽  
Brain Parenchymal ◽  
The Impact

Background: The course of multiple sclerosis (MS) shows substantial inter-individual variability. The underlying determinants of disease severity likely involve genetic and environmental factors. Objective: The aim of this study was to assess the impact of APOE and HLA polymorphisms as well as smoking and body mass index (BMI) in the very early MS course. Methods: Untreated patients ( n = 263) with a recent diagnosis of relapsing-remitting (RR) MS or clinically isolated syndrome underwent standardized magnetic resonance imaging (MRI). Genotyping was performed for single-nucleotide polymorphisms (SNPs) rs3135388 tagging the HLA-DRB1*15:01 haplotype and rs7412 (Ɛ2) and rs429358 (Ɛ4) in APOE. Linear regression analyses were applied based on the three SNPs, smoking and BMI as exposures and MRI surrogate markers for disease severity as outcomes. Results: Current smoking was associated with reduced gray matter fraction, lower brain parenchymal fraction and increased cerebrospinal fluid fraction in comparison to non-smoking, whereas no effect was observed on white matter fraction. BMI and the SNPs in HLA and APOE were not associated with structural MRI parameters. Conclusions: Smoking may have an unfavorable effect on the gray matter fraction as a potential measure of MS severity already in early MS. These findings may impact patients’ counseling upon initial diagnosis of MS.

The relationship between cognitive function and body mass index in multiple sclerosis patients

2019 ◽  
Vol 32 ◽  
pp. 37-40 ◽  
Author(s):  
Mahsa Owji ◽  
Amir Ashraf-Ganjouei ◽  
Mohammad Ali Sahraian ◽  
Maryam Bidadian ◽  
Fereshteh Ghadiri ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Cognitive Function ◽  
Body Mass ◽  
Multiple Sclerosis Patients ◽  
The Relationship

scholarly journals AB0615 ASSESSMENT OF THE IMPACT OF OBESITY ON BONE LOSS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1342.3-1342
Author(s):  
M. Yasmine ◽  
S. Mariem ◽  
S. Miladi ◽  
A. Fazaa ◽  
E. Frigui ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Vertebral Fracture ◽  
Body Mass ◽  
World Health ◽  
Obese Patients ◽  
Mineral Density ◽  
Cross Sectional ◽  
Tunisian Patients ◽  
The Mean ◽  
The Impact

Background:Most of the available evidence supports a lower risk of vertebral fracture in obese adults. This belief was partially suggested by the positive correlation between bone mineral density (BMD) and body mass index (BMI).Objectives:We aimed to assess the association of BMI with BMD and to explore their relation with age and gender.Methods:This is a cross-sectional study including Tunisian patients referred for an assessment of BMD through dual-energy X-ray absorptiometry (DXA). BMD was measured using standard methods over the lumbar spine L1-L4, the total proximal femur. The results were expressed as T-scores according to the World Health Organization definition. Patients were sub-grouped according to age (≤50 and >50 years). Association between BMD and age as well as BMI was also assessed (G1: obese patients and G2: non-obese patients). The level of significance was fixed for p<0.05Results:The study included 100 patients with a female predominance (sex ratio =10.1). The mean age for women was 61.9 ±13 [18-83] years and the mean age for men was 59.7± 7.5 [47-72] years. The mean body mass index was 29.1± 5 kg/m2 [15-45] for women and 27.6 ±3.6 Kg/m2 [22.8-32.9] for men. Forty percent of all patients were obese with a mean BMI of 32.9 kg/m2 ± 4.3. Osteopenia was diagnosed in half of the men (55.5%) and most of the women (70%). Twenty-nine percent of patients suffered from osteoporosis. BMD of the spine was similar between men and women (p=0.53). Men had higher BMD of the hip than women (p=0,038). The mainstream of the subjects >50 years had more vertebral fractures, suffered more from osteoporosis and had a higher BMI than those < 50 years (95% % vs 5%; p=0.04), (92.3% vs 77 %; p=0.03) and (82.5% vs 17.5%; p=0.05) respectively. There was no correlation between BMD of the spine and higher BMI (0.94 in G1 vs 0.98 in G2, p=0.3). Similarly, there was no correlation between BMD of the hip and higher BMI (0.9 in G1 vs 0.84 in G2, p=0.2). Moreover, Obese patients had less a vertebral fracture but with no statistically significant correlation (21% in G1 vs 25% in G2; p=0.2).Conclusion:Our study showed that obesity was frequent among Tunisian patients but was not associated with a higher BMD. Older age was directly associated with a lower BMD and higher risk for vertebral fracture.Disclosure of Interests:None declared.

scholarly journals Relation between BMI and Semen parameters in male infertility patients in west of Algeria

2020 ◽  
Vol 10 (2-s) ◽  
pp. 64-67
Author(s):  
Dalila Ferrag ◽  
Abbassia Demmouche ◽  
Charaf Khalloua Zine
Keyword(s):  
Body Mass Index ◽  
Male Infertility ◽  
Body Mass ◽  
Semen Quality ◽  
Sperm Count ◽  
Sperm Concentration ◽  
Semen Parameters ◽  
Infertile Men ◽  
The Mean ◽  
The Impact

Introduction: Body mass index BMI is a risk factor that influences semen quality and reduces male fertility. The aim of this study was to determine the impact of body mass index (BMI) on semen parameters in infertile men. Subject and method: A total of 446 infertile men, the study population was divided into four groups depending on their BMI , underweight (<18.5 kg/), normal weight (18.5-24.99 kg/m2 ), overweight 25-29.99 kg/m2), and obese >30.0 kg/.semen parameters (PH, volume, concentration ,total semen count ,vitality, morphology and motility ) were compared across the four BMI groups. Results: The mean of age was 41.91±6.39, the mean infertility duration was 4.92±3.28, 351(78.7٪) had primary infertility and 95(21.3٪) had secondary infertility. The mean BMI was 29.38± 4.85 and the most of patients 45.2٪ were obese. Conclusion: This study has found evidence of an association between BMI and semen parameters (Sperm concentration, Total sperm count, motility, and vitality) and no correlation between Semen volume, morphology and BMI. Keywords: Body mass index, male infertility, semen quality, west of Algeria

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