Prevalence and Risk Factors of Dysphagia in Patients with Multiple Sclerosis.

Dysphagia is one of the most common symptoms in multiple sclerosis (MS) patients. It can reduce the quality of life and increase the risk of mortality by developing complications such as aspiration pneumonia. The present study was conducted to estimate the prevalence of dysphagia in MS patients and investigate the associations between dysphagia and disease characteristics. The Persian version of the DYMUS questionnaire was used to assess dysphagia in 865 patients with MS, including 738 (85.3%) relapsing-remitting MS (RRMS), 106 (12.3%) secondary progressive MS (SPMS), and 21 (2.4%) primary progressive MS (PPMS). Also, demographic and clinical data, including age, sex, smoking status, Expanded Disability Status Scale (EDSS) score, disease duration, disease-modifying therapies exposure, initial symptoms of MS, were recorded. The mean (SD) age was 37.95(9.25) years, and 83.1% of the participants were female. The prevalence of dysphagia was estimated to be 25.4% among all patients. According to the DYMUS questionnaire results, the prevalence of dysphagia in RRMS, SPMS, and PPMS patients was 22.2%, 44.3%, and 42.9%, respectively. After multivariate analysis the current EDSS score (OR = 1.197, CI: 1.062, 1.350, p = 0.003), cerebellar impairment (OR = 1.335, CI: 1.450, 4.716, p = 0.004) and motor dysfunction (OR = 1.651, CI: 1.004, 2.715, p = 0.048) emerged as the risk factors for dysphagia. Since dysphagia, as previously mentioned, is a common symptom in multiple sclerosis, particularly in SPMS and PPMS courses, active screening for this condition is recommended in all patients, particularly those with identified risk factors.

Short report: assessment of coping strategies in patients with neuromyelitis optica spectrum disorder (NMOSD) and multiple sclerosis.

Neuromyelitis optica spectrum disorder (NMOSD) and multiple sclerosis (MS) are disabling neurological diseases with significant emotional distresses. To better deal with these diseases, patients need to adopt coping strategies. Identifying coping strategies is important in our understanding of the disease burden and management. However, no one to the best of our knowledge has studied coping strategies in NMOSD patients worldwide. We performed this study to evaluate coping strategies in NMOSD and MS patients compared to healthy controls. We assessed coping strategies using Coping Orientation for Problem Experiences (COPE) inventory. Demographic and clinical characteristics were gathered as well. Thirty NMOSD patients, 76 MS patients, and 50 healthy controls were recruited. NMOSD and MS patients adopted acceptance and behavioral disengagement strategies more often compared to healthy control. Furthermore, NMOSD cases were more prone to using mental disengagement strategy. Both NMOSD and MS cases were less prone to substance use. In NMOSD group, patients with basic education had higher scores of focus on and venting emotions compared to those with advance education. No relationship between coping strategies and demographic and clinical characteristics was observed. We found almost similar patterns of coping in NMOSD and MS. NMOSD patients showed utilization of maladaptive coping strategies with more frequent use of mental and behavioral disengagement. We suggest a multidisciplinary approach to manage these patients.

Fear of relapse, social support, and psychological well-being (depression, anxiety, and stress level) of patients with multiple sclerosis (MS) during the COVID-19 pandemic stage.

BACKGROUND: Psychological well-being assessment during the COVID-19 pandemic is essential for patients with multiple sclerosis (MS). The goal of this study is to evaluate fear of relapse, social support, and psychological well-being (depression, anxiety, and stress level) of Iranian patients with MS during the COVID-19 pandemic stage. METHODS: One hundred and sixty-five patients were enrolled. We asked all cases to fill valid and reliable Persian version of depression, anxiety, and stress scale (DASS-21), perceived social support, and fear of relapse scale questionnaires. RESULTS: One hundred and sixty-five patients were enrolled. Female to male ratio was (F/M) = 4.6. Mean age and mean duration of disease were 35.3±8.6 and 7.1±5 years, respectively. Mean scores of social support, DASS, and FoR questionnaires were 63.1±16.8, 16.4±13.4, and 51.4±17.3, respectively. There was a significant negative correlation between social support and FoR scores and also significant positive correlations between components of DASS and FoR. Linear regression analysis by considering FoR as dependent variable and age, sex, marital status, duration of the disease, and EDSS as dependent variables showed that sex was an independent predictor of FoR score. CONCLUSION: Psychological well-being as well as fear of relapse should be considered in patients with MS during the COVID-19 pandemic stage.

Exploratory 5-year follow-up study of retinol, tocopherols, and carotenoids in multiple sclerosis.

BACKGROUND: Retinol, tocopherols, and carotenoids (RTC) have physiological roles as vitamins, pro-vitamins, and antioxidants, and provide biomarkers of dietary vegetable and fruit intake. The goal was to investigate RTC in multiple sclerosis (MS). METHODS: This exploratory study included 106 people with MS (71 relapsing-remitting MS or RR-MS; and 35 progressive MS or PMS) and 31 healthy controls (HC) at baseline and 5-year follow-up (5YFU). Serum retinol, α-carotene, ß-carotene, α-tocopherol, δ-tocopherol, γ-tocopherol, ß-cryptoxanthin, lutein/zeaxanthin, and lycopene were measured using high performance liquid chromatography. Serum neurofilament light chain (sNfL) levels were measured using the single molecule array method. Expanded Disability Status Scale (EDSS) and low contrast letter acuity (LCLA) were used as disability measures. RESULTS: Retinol in MS was positively correlated with α-carotene, ß-carotene, ß-cryptoxanthin, lutein/zeaxanthin, and α-tocopherol but negatively correlated with δ-tocopherol. EDSS was associated with α-tocopherol, δ-tocopherol, and lycopene. Greater retinol levels were associated with greater LCLA in RR-MS and PMS; high contrast visual acuity was not associated. Greater γ-tocopherol levels were associated with lower LCLA and high contrast visual acuity in PMS. CONCLUSIONS: RTC exhibit distinctive associations with LCLA and EDSS in MS.

Dyslipidemias in multiple sclerosis.

PURPOSE: To investigate the frequency of dyslipidemia phenotypes in multiple sclerosis and to assess the associations with lipoprotein particle size distributions. METHODS: This cross-sectional study included 203 healthy controls (HC), 221 relapsing-remitting MS (RRMS), and 126 progressive MS (PMS). A lipid profile with total cholesterol, high-density lipoprotein cholesterol (HDL-C), triglycerides, and apolipoprotein B levels were measured. Low density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol, large buoyant LDL-C and small dense LDL-C were calculated using the Sampson-NIH equations method. Dyslipidemia phenotypes were categorized by their nonHDL-C and triglyceride values. The diameters and concentrations of triglyceride-rich lipoprotein particles (TRLP), LDL particles (LDLP), and HDL particles (HDLP) were measured with proton NMR lipoprotein profiling. Serum proprotein convertase subtilisin/kexin type 9 (PCSK9) levels were obtained using immunoassay. RESULTS: The frequencies of normolipidemia, and various dyslipidemia phenotypes were similar in HC, RRMS, and PMS. The size of the TRLP, very large TRLP, large TRLP, and small LDLP concentrations had a decreasing pattern of HC>RR>PMS. The lowest tertile of EDSS was associated with higher concentrations of HDLP and small HDLP in PMS. PCSK9 was associated with concentration of HDL particles, primarily via its effects on the concentration of small HDL particles. CONCLUSIONS: There were no differences in the frequency of dyslipidemias in MS compared to healthy controls. Higher HDLP concentrations are associated with lower disability in PMS.

Psychometric assessment of the Persian version of the patient determined disease steps scale in patients with multiple sclerosis and neuromyelitis optica spectrum disorder.

Background: The purpose of this study was to evaluate the validity and reliability of the Persian version of Patient Determined Disease Steps (PDDS) in both patients with multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD). Methods: One hundred and forty-five patients were enrolled between May and September 2020 by consecutive sampling. Participants were asked to complete timed 25-foot walk (T25FW), 12-item Multiple Sclerosis Walking Scale (MSWS-12), and Multiple Sclerosis Quality of Life-54 (MSQOL-54). Patients also completed Timed Up and Go (TUG) and six-minute walk (6MW) tests. Construct validity was assessed by calculating correlation between PDDS and ambulatory and demographic items. The intra-class correlation coefficient (ICC) was used to evaluate reliability. Results: One hundred and eleven patients with MS and 34 with NMOSD with disease duration of 7.6 ± 5.8 years were enrolled. Twenty-seven percent were men and mean Expanded Disability Status Scale (EDSS) was 1.8 ± 1.8. There was a significant positive correlation between EDSS and PDSS (rho = 0.64, P < 0.001) which was evident in MS subgroups and NMOSD [secondary progressive MS (SPMS): rho = 0.64, P < 0.001; relapsing-remitting MS (RRMS): rho = 0.47, P < 0.001; NMOSD: rho = 0.52, P = 0.001]. PDDS had also significant positive correlation with TUG, T25FW, and MSWS-12. PDDS had also significant negative correlation with 6MW test. PDDS had weak correlation with demographic variables. The ICC was calculated as 0.99 for PDDS. Conclusion: The Persian version of PDDS provides valid and reliable instrument to assess MS/NMOSD-related disability.

Sociodemographic and Illness-Related Indicators to Predict the Status of Neuromyelitis Optica Spectrum Disorder (NMOSD) Five Years after Disease Onset.

BACKGROUND: Neuromyelitis Optica Spectrum Disorder (NMOSD) is an autoimmune demyelinating disease of the central nervous system. Currently, no factors have been identified to predict the long-term course of NMOSD. To counter this, we analyzed data of 58 individuals with NMOSD at disease onset and about five years later. METHODS: Medical records of 58 individuals with NMOSD (mean age: 31.13 years at disease onset; 86.2% female) were retrospectively analyzed. At baseline, a thorough medical and disease-related examination was performed; the same examination was repeated about five years later at follow-up, including treatment-related information. Mean outcome measure was the difference in EDSS (Expanded Disease Severity Scale) scores between baseline and follow-up. RESULTS: Mean disease duration was 4.67 years. Based on the differences of the EDSS scores between baseline and follow-up, participants were categorized as improving (n = 39; 67.2%), unchanged (n = 13; 22.4%) and deteriorating (n = 6; 10.3%). Deteriorating was related to a higher progression index, and a higher number of attacks, while the annualized relapse rate reflecting the number of attacks per time lapse did not differ between the three groups. Improving was related to a higher intake of rituximab, and to a higher rate of seropositive cases. Unchanged was related to a lower rate of seropositive cases. Factors such as age, gender, somatic and psychiatric comorbidities, symptoms at disease onset, relapse rates, number and location of cervical plaques, or brain plaques and thoracolumbar plaques at baseline did not differ between those improving, deteriorating or remaining unchanged. CONCLUSIONS: Among a smaller sample of individuals with NMOSD followed-up about five years later, individuals deteriorating over time reported a higher progression index, while the annualized relapse rate was unrelated to the progress of disease. Overall, it appears that the course of NMOSD over a time lapse of about five years after disease onset is highly individualized. Accordingly, treatment regimen demands a highly individually tailored approach.

Prevalence of Seizure/Epilepsy in Patients with Multiple Sclerosis: A Systematic Review and Meta-Analysis.

BACKGROUND: Seizure and epilepsy are among the initial symptoms of multiple sclerosis (MS), yet different prevalence rates are reported for them in the previous studies. The goal of this systematic review is to estimate the pooled prevalence of seizure and epilepsy in patients with MS. METHODS: We searched PubMed, Scopus, EMBASE, Web of Science, google scholar, and gray literature including references from identified studies and conference abstracts published up to October 2019. The search strategy included the MeSH terms and text words as ((Epilepsies OR Seizure Disorder OR Seizure Disorders OR Awakening Epilepsy OR Epilepsy, Awakening OR Epilepsy, Cryptogenic OR Cryptogenic Epilepsies OR Cryptogenic Epilepsy OR Epilepsies, Cryptogenic OR epilepsy OR seizure) AND (Multiple Sclerosis OR Sclerosis, Multiple) OR Sclerosis, Disseminated) OR Disseminated Sclerosis) OR MS (Multiple Sclerosis)) OR Multiple Sclerosis, Acute Fulminating). RESULTS: The literature review resulted in 4860 articles; 2593 articles remained after eliminating the duplicates. For the final analysis, 39 articles were included, 9 of which were conference abstracts. The pooled prevalence of seizure in MS cases was 2%, 95% confidence interval (CI)(1%-3%) (I2 = 91.8%, P < 0.001). The pooled prevalence of epilepsy in MS cases was 3%, 95% CI (2%-4%) (I2 = 92.9%, P < 0.001). The pooled prevalence of epilepsy in Asia, Europe, and America was 6%, 3%, and 3%, respectively. The level of heterogeneity decreased after subgroup analysis in Asian and American subgroups. Meta-regression analysis showed continent is not a source of heterogeneity (coefficient = -0.007, P = 0.6). CONCLUSIONS: The result of this systematic review shows that the pooled prevalence of seizure and epilepsy among MS patients is 2% and 3%, respectively.

Can coronavirus disease 2019 (COVID-19) trigger exacerbation of multiple sclerosis? A retrospective study.

The effect of coronavirus disease (COVID-19) on the risk of relapse in multiple sclerosis (MS) have been unknown. In this retrospective study of 41 relapsing-remitting MS patients, number of relapses in pre-defined at risk-period (ARP) was compared with the previous two years. During the previous two years, a total of 32 attacks was reported, which 5 (15.6%) were during the at-risk period. After adjusting for age and sex, there was an increased risk of attack during ARP compared to the previous two years (RR: 2.566, 95%CI: 1.075-6.124, P=0.034). Our preliminary study suggested that COVID-19 can trigger exacerbation of MS.

Evaluation of Month of Birth in Neuromyelitis Optica Spectrum Disorders (NMSOD) and Multiple Sclerosis (MS).

INTRODUCTION: Multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMO) are chronic immune-mediated diseases in the central nervous system (CNS). Environmental factors such as month of birth can be a trigger for these diseases. Therefore, we conducted this study to compare the months of birth in MS and NMOSD patients with the control group. METHODS: In this cross-sectional study, 2345 patients with MS, 220 NMOSD patients, and 2174 healthy subjects were enrolled. Demographic information such as age, sex, month of birth, and education in three groups was extracted from the database. The associations between month of birth and MS were studied by binary logistic regression with adjusting for the year of birth. RESULTS: There was a reduced birth rate in September-October in NMOSD (OR = 0.309, 95% CI: 0.150-0.636; p < 0.001) and MS patients (OR = 0.470, 95% CI: 0.374-0.591; p < 0.001) compared to the general population. The birth rate in March-April in MS was higher than the control group (OR = 1.613, 95% CI: 1.324-1.964; p < 0.001). There was no difference in the birth month distribution between the NMOSD and MS patients. No significant difference in MOB among different MS types was found. CONCLUSION: Our findings showed a decreasing risk of NMOSD and MS in individuals born in the autumn months and an increasing MS risk in spring. More studies are required to elucidate the association between the month of birth and risk of MS and NMOSD and the seasonality factors.

Comparable Efficacy and Safety of Teriflunomide versus Dimethyl Fumarate for the Treatment of Relapsing-Remitting Multiple Sclerosis.

BACKGROUND: The aim of this observational study is to investigate the efficacy and safety of two approved oral disease-modifying therapies (DMTs) in patients with remitting-relapsing multiple sclerosis (RRMS): dimethyl fumarate (DMF) vs. teriflunomide (TRF). METHODS: A total of 159 RRMS patients (82 on TRF and 77 on DMF) were included. The expanded disability status scale (EDSS), confirmed disability improvement (CDI), confirmed disability progression (CDP), and annualized relapse rate (ARR) were evaluated for the two-year period prior to enrollment in our study. The drug-associated adverse effects (AEs) were recorded. We conducted propensity matching score to compare the efficacy between TRF and DMF. RESULTS: After matching for the confounders, TRF- and DMF-treated groups were not different in terms of EDSS (P value = 0.54), CDI (P value = 0.80), CDP (P value = 0.39), and ARR (P value >0.05). TRF discontinuation occurred in 2 patients (2.43%) due to mediastinitis and liver dysfunction, while a patient (1.29%) discontinued DMF due to depression. Incidence rate of AEs in the TRF-treated group was 81.4%: hair thinning (hair loss) (62.9%), nail loss (20.9%), and elevated aminotransferase (14.8%) were the most common AEs; in DMF-treated patients, AEs were 88.2% with predominance of flushing (73.2%), pruritus (16.9%), and abdominal pain (16.9%). CONCLUSION: Based on our findings, DMF is as efficacious and safe as TRF for the treatment of RRMS in our Iranian study population. Multicentric studies need to corroborate these findings in other populations.

Early predictors of conversion to secondary progressive multiple sclerosis.

BACKGROUND: We conducted this study to estimated the time of conversion from relapsing-remitting MS (RRMS) to SPMS and its early predictor factors. METHODS: In this retrospective study, demographic, clinical, and imaging data from MS patients at diagnosis were extracted. Cox proportional hazards model was used to assess the association between various baseline characteristics and conversion to SPMS. We also assessed the association brtween escalation and early intensive therapy approaches with transition to progressive phase. RESULTS: Out of 1903 patients with RRMS at baseline, 293 (15.4%) patients progressed to SPMS during follow-up. The estimated number of patients converted to SPMS was 10% at 10-years, 50% at 20-years, and 93% at 30-years. On multivariate Cox regression analysis older age at onset (HR: 1.067, 95%CI: 1.048-1.085, p < 0.001), smoking (HR: 2.120, 95%CI: 1.203-3.736, p = 0.009), higher EDSS at onset (HR: 1.199, 95%CI: 1.109-1.295, p < 0.001), motor dysfunction (HR: 2.470, 95%CI: 1.605-3.800, p < 0.001), cerebellar dysfunction (HR: 3.096, 95%CI: 1.840-5.211, p < 0.001), and presence of lesions in spinal cord (HR: 0.573, 95%CI: 0.297-0.989, p = 0.042) increased the risk of conversion from RRMS to SPMS. No significant difference between escalation and EIT groups in the risk of transition to progressive phase (weighted HR = 1.438; 95% CI: 0.963, 2.147; p = 0.076) was found. CONCLUSION: Our data support previous observations that smoking is a modifiable risk factor for secondary progressive MS and confirms that spinal cord involvement, age, and more severe disease at onset are prognostic factors for converting to secondary progressive MS.

Frequency of comorbidities in Neuromyelitis Optica spectrum disorder.

BACKGROUND: Comorbidity may influence clinical aspects of neuromyelitis optica spectrum disorder (NMOSD). We estimated the prevalence of comorbidities to assess their association with outcomes. METHODS: This retrospective study assessed records of NMOSD patients from 2008 to 2019, categorizing comorbidities into three groups: somatic, psychiatric and autoimmune. Severity of disease was evaluated by the Expanded Disability Status Scale, progression index (PI) and annualized relapse rate. The frequency of comorbidities was compared between anti-aquaporin 4 antibody (AQP4-IgG) seropositive and seronegative patients. RESULTS: A total of 67 NMOSD patients were enrolled. Thirty-five (52.2%) patients reported at least one comorbidity. In total, 44 comorbidities were found, of which 24 occurred prior to NMOSD onset: 29 somatic, 13 psychiatric and 2 autoimmune entities. The most common comorbidities were anxiety disorders 7/67 (10.4%), followed by migraine 6/67 (8.9%) major depression disorder 6/67 (8.9%), iron deficiency anemia 8/54 (14.8%), and non-autoimmune hypothyroidism 4/67 (6.0%). Psychiatric comorbidities associated with PI in unadjusted (OR=0.538, 95% CI=0.141, 0.935, P=0.009) and adjusted models (OR=0.386, 95% CI=0.022, 0.751, P=0.038). A significantly higher frequency of psychiatric comorbidities was observed in the AQP4-IgG positive patients (P=0.031). CONCLUSION: Half of the patients had comorbidities, suggesting screening for comorbidity as part of NMOSD care. The psychiatric comorbidities had impact on clinical outcome.

COVID-19 Among Patients With Multiple Sclerosis: A Systematic Review.

OBJECTIVE: We systematically reviewed the literature on COVID-19 in patients with multiple sclerosis (MS). METHODS: We searched PubMed, Scopus, EMBASE, CINAHL, Web of Science, Google Scholar, and World Health Organization database from December 1, 2019, to December 18, 2020. Three conference abstract databases were also searched. We included any types of studies that reported characteristics of patients with MS with COVID-19. RESULTS: From an initial 2,679 publications and 3,138 conference abstracts, 87 studies (67 published articles and 20 abstracts) consisting of 4,310 patients with suspected/confirmed COVID-19 with MS met the inclusion criteria. The female/male ratio was 2.53:1, the mean (SD) age was 44.91 (4.31) years, the mean disease duration was 12.46 (2.27), the mean Expanded Disability Status Scale score was 2.54 (0.81), the relapsing/progressive ratio was 4.75:1, and 32.9% of patients had at least 1 comorbidity. The most common symptoms were fever (68.8%), followed by cough (63.9%), fatigue/asthenia (51.2%), and shortness of breath (39.5%). In total, 837 of 4,043 patients with MS with suspected/confirmed COVID-19 (20.7%) required hospitalization, and 130 of 4,310 (3.0%) died of COVID-19. Among suspected/confirmed patients, the highest hospitalization and mortality rates were in patients with no disease-modifying therapies (42.9% and 8.4%), followed by B cell-depleting agents (29.2% and 2.5%). CONCLUSION: Our study suggested that MS did not significantly increase the mortality rate from COVID-19. These data should be interpreted with caution as patients with MS are more likely female and younger compared with the general population where age and male sex seem to be risk factors for worse disease outcome.

The prevalence of migraine in multiple sclerosis (MS): A systematic review and meta-analysis.

OBJECTIVES: We designed this systematic review to estimate pooled prevalence of migraine in patients with multiple sclerosis (MS). METHODS: We searched PubMed, Scopus, EMBASE, CINAHL, Web of Science, google scholar and gray literature including references from identified studies, conference abstracts which were published up to December 2019. The search strategy included the MeSH and text words as ((Disorder,Migraine OR Disorders,MigraineDisorder OR Migraine OR Migraines, OR MigraineHeadache OR MigraineHeadaches) AND (Multiple Sclerosis OR Sclerosis, Multiple) OR Sclerosis, Disseminated) OR Disseminated Sclerosis) OR MS (Multiple Sclerosis)) OR Multiple Sclerosis, Acute Fulminating). RESULTS: The literature search found 2100 articles. After eliminating duplicates, 1500 articles remained. Eleven articles and twelve abstract conference papers were included for final analysis. A total of 11,372 MS cases and 2627 MS patients with migraine included in the analysis. The prevalence of migraine ranged from 2% to 67%. The pooled prevalence of migraine in included studies was 31% (95%CI: 22%-40%) (I2 = 99.3%, p < 0.001). The pooled prevalence of migraine in different continents were significantly different (p < 0.001). The pooled prevalence was 24% in Asian countries, 43% in American countries, 25% in European countries and 43% in African countries. CONCLUSION: The results of this systematic review shows that the prevalence of migraine in MS patients is 31% while the prevalence differs significantly among residents of different continents.

Association of helicobacter pylori with multiple sclerosis: Protective or risk factor?

Background: Multiple sclerosis (MS) is a common autoimmune inflammatory disease in the central nervous system (CNS) without exact pathology. Environmental factors such as infections have a causal or protective role in MS. Helicobacter pylori (HP) is one of the infections in digestive diseases and previous studies reported controversial findings of this infection role in MS. So, we conducted this study to assess the frequency of HP infection in patients with MS in comparison to the healthy population. Methods: This cross-sectional study was undertaken between 2015 and 2019. 191 participants including 58 patients with clinically isolated syndrome (CIS), 57 patients with relapsing-remitting MS (RRMS), 39 patients with secondary progressive MS (SPMS), and 39 age- and sex-matched healthy controls (HCs) were tested for the presence of HP immunoglobulin G (IgG) and IgM antibodies (Abs) in their serum sample. Results: The frequency of HP IgG seropositivity in patients with SPMS was significantly higher than patients with CIS [Odds ratio (OR): 6.333, 95% confidence interval (CI): 2.522-15.906, P < 0.001], patients with RRMS (OR: 4.583, 95% CI: 1.842-11.407, P = 0.001), and HCs (OR: 8.485, 95% CI: 3.058-23.540, P < 0.001). We did not find a significant difference among other study groups regarding IgG seropositivity. No significant difference among groups regarding HP IgM seropositivity was evident. On univariate model, Expanded Disability Status Scale (EDSS) score (OR: 1.038, 95% CI: 1.038-1.460, P = 0.017) and SPMS (OR: 4.583, 95% CI: 1.842-11.407, P = 0.001) were predictor for HP IgG seropositivity. On multivariate model, only SPMS had higher risk for HP IgG seropositivity compared to RRMS (OR: 5.554, 95% CI: 1.327-23.253, P = 0.019). We did not find a significant association between clinical and demographic variables with HP IgM seropositivity. Conclusion: Based on our findings, progressive MS and HP infection may have association. Further longitudinal studies with large sample size are needed to determine the role of HP infection in MS.

Clinical Characteristics and Disability Progression of Early- and Late-Onset Multiple Sclerosis Compared to Adult-Onset Multiple Sclerosis.

BACKGROUND: Compared to the adult onset of multiple sclerosis (AOMS), both early-onset (EOMS) and late-onset (LOMS) are much less frequent, but are often under- or misdiagnosed. The aims of the present study were: 1. To compare demographic and clinical features of individuals with EOMS, AOMS and LOMS, and 2. To identify predictors for disability progression from relapsing remitting MS (RRMS) to secondary progressive MS (SPMS). METHOD: Data were taken from the Isfahan Hakim MS database. Cases were classified as EOMS (MS onset 18 years), LOMS (MS onset >50 years) and AOMS (MS >18 and 50 years). Patients' demographic and clinical (initial symptoms; course of disease; disease patterns from MRI; disease progress) information were gathered and assessed. Kaplan-Meier and Cox proportional hazard regressions were conducted to determine differences between the three groups in the time lapse in conversion from relapsing remitting MS to secondary progressive MS. RESULTS: A total of 2627 MS cases were assessed; of these 127 were EOMS, 84 LOMS and 2416 AOMS. The mean age of those with EOMS was 14.5 years; key symptoms were visual impairments, brain stem dysfunction, sensory disturbances and motor dysfunctions. On average, 24.6 years after disease onset, 14.2% with relapsing remitting MS (RRMS) were diagnosed with secondary progressive MS (SPMS). The key predictor variable was a higher Expanded Disability Status Scale (EDSS) score at disease onset. Compared to individuals with AOMS and LOMS, those with EOMS more often had one or two relapses in the first two years, and more often gadolinium-enhancing brain lesions. For individuals with AOMS, mean age was 29.4 years; key symptoms were sensory disturbances, motor dysfunctions and visual impairments. On average, 20.5 years after disease onset, 15.6% with RRMS progressed to SPMS. The key predictors at disease onset were: a higher EDSS score, younger age, a shorter inter-attack interval and spinal lesions. Compared to individuals with EOMS and LOMS, individuals with AOMS more often had either no or three and more relapses in the first two years. For individuals with LOMS, mean age was 53.8 years; key symptoms were motor dysfunctions, sensory disturbances and visual impairments. On average, 14 years after disease onset, 25.3% with RRMS switched to an SPMS. The key predictors at disease onset were: occurrence of spinal lesions and spinal gadolinium-enhancement. Compared to individuals with EOMS and AOMS, individuals with LOMS more often had no relapses in the first two years, and higher EDSS scores at disease onset and at follow-up. CONCLUSION: Among a large sample of MS sufferers, cases with early onset and late onset are observable. Individuals with early, adult and late onset MS each display distinct features which should be taken in consideration in their treatment.

Higher Disease and Pain Severity and Fatigue and Lower Balance Skills Are Associated with Higher Prevalence of Falling among Individuals with the Inflammatory Disease of Neuromyelitis Optica Spectrum Disorder (NMOSD).

BACKGROUND: Neuromyelitis optica spectrum disorder (NMOSD) is a chronic inflammatory and autoimmune disorder that is associated with impaired vision, sensory loss, pain, fatigue, and spasms in the upper and lower limbs. Typically, persons with this disorder are also at higher risks of falls. Given this, the aims of the study were to compare the prevalence rates of falling for NMOSD cases and healthy controls (HCs), and to predict falling in the former group based on sociodemographic, psychological, and illness-related factors. METHOD: A total of 95 adults with NMOSD (Mean age = 34.89 years; 70.5% females) and 100 matched HCs took part in the study. All participants completed a series of questionnaires covering sociodemographic information and falling rates. The NMOSD individuals also reported on disease duration, pain, fatigue, and fear of falling, while their balance performance was objectively assessed. RESULTS: Compared to healthy controls, the NMOSD cases had a 2.5-fold higher risk of falling. In this latter group, higher scores for pain, fatigue, fear of falling, and higher EDSS scores were distinguished between fallers and non-fallers, and objective balance skills had no predictive value. CONCLUSIONS: Compared to healthy controls, NMOSD sufferers had a 2.5-fold higher risk of experiencing falls. In this group, disease impairments (EDSS, fatigue, pain) predicted falling. Specific interventions such as regular resistance training might reduce the risk of falling.

Comparison of sleep complaints and quality of life between patients with neuromyelitis optica spectrum disorder (NMOSD) and healthy controls.

BACKGROUND: Neuromyelitis optica spectrum disorder (NMOSD) is a chronic autoimmune disorder which is associated with sleep disturbances and a lower quality of life. The aims of the study were: (1) Comparing sleep characteristics, quality of life, and symptoms of depression and anxiety between patients with NMOSD and healthy controls (HCs). (2) Predicting sleep characteristics among patients with NMOSD based on psychological and illness-related factors. METHOD: A total of 41 patients with NMOSD (Mean age = 37.48 years; 73.2% f) and 46 matched HCs took part in the study. Individuals with NMOSD reported on illness duration, fatigue and EDSS scores; further, all participants completed self-rating questionnaires covering sleep quality, daytime sleepiness, symptoms of obstructive sleep apnea and restless legs syndrome, quality of life, depression and anxiety. RESULTS: Compared to HCs, individuals with NMOSD reported a lower quality of life, higher symptoms of anxiety and depression, and more symptoms of restless legs syndrome. Among individuals with NMOSD, longer illness duration and higher fatigue scores predicted poor sleep quality. CONCLUSION: Compared to HCs, individuals with NMOSD reported poorer quality of life and higher levels of depression and anxiety. Further, among individuals with NMOSD, sleep characteristics are predicted by a complex variety of illness-related factors.