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The association between MRI brain volumes and computerized cognitive scores of people with multiple sclerosis

Golan, Daniel; Doniger, Glen M; Srinivasan, Jared; Sima, Diana M; Zarif, Myassar; Bumstead, Barbara; Buhse, Marijean; Van Hecke, Wim; Wilken, Jeffrey; Gudesblatt, Mark
BACKGROUND:Computerized cognitive assessment facilitates the incorporation of multi-domain cognitive monitoring into routine clinical care. The predictive validity of computerized cognitive assessment among people with multiple sclerosis (PwMS) has scarcely been investigated. OBJECTIVE:To explore the associations between brain volumes and cognitive scores from a computerized cognitive assessment battery (CAB, NeuroTrax) among PwMS. METHODS:PwMS were evaluated with the CAB and underwent brain MRI within 40 days. Cognitive assessment yielded age- and education-adjusted scores in 9 cognitive domains: memory, executive function, attention, information processing speed, visual spatial, verbal function, motor skills, problem solving, and working memory. The global cognitive score (GCS) is the average of all domain scores. MRI brain and lesion volumes were assessed with icobrain ms, a fully automated tissue and lesion segmentation and quantification software. RESULTS:91 PwMS were included [Age: 52.1 ± 11.7 years, 64 (70%) female, EDSS: 3.4 ± 2.0, 79 (87%) with a relapsing remitting course]. Significant correlations were found between the GCS and whole brain, white matter, grey matter, thalamic, lateral ventricles, hippocampal and lesion volumes (Correlation coefficients: 0.46, 0.40, 0.25, 0.42, -0.36, 0.21, -0.3, respectively). Regression analysis revealed that lateral ventricles and thalamic volumes were the most consistent predictors of all cognitive domain scores. CONCLUSION:Computerized cognitive scores were significantly associated with quantified MRI. These findings support the predictive validity of multi-domain computerized cognitive assessment for people with multiple sclerosis.
PMID: 32927305
ISSN: 1090-2147
CID: 5342272

Effect of dimethyl fumarate on lymphocyte subsets in patients with relapsing multiple sclerosis

Buckle, Guy; Bandari, Daniel; Greenstein, Jeffrey; Gudesblatt, Mark; Khatri, Bhupendra; Kita, Mariko; Repovic, Pavle; Riser, Emily; Weinstock-Guttman, Bianca; Thrower, Ben; Loring, Sherrill; Riester, Katherine; Everage, Nick; Prada, Claudia; Koulinska, Irene; Mann, Monica
BACKGROUND:In patients treated with dimethyl fumarate, absolute lymphocyte count decline typically occurs during the first year and then plateaus; early drops have been associated with the development of severe prolonged lymphopenia. OBJECTIVE:We investigated the effect of dimethyl fumarate on absolute lymphocyte counts and CD4+/CD8+ T cells in patients with relapsing-remitting multiple sclerosis treated with dimethyl fumarate in routine practice. METHODS:Lymphocyte data were collected via medical chart abstraction. Primary endpoint: change from baseline in absolute lymphocyte count and CD4+/CD8+ counts at 6-month intervals following dimethyl fumarate initiation. RESULTS:/l) decreased by ∼39% (95% confidence interval: -41.1 to -37.2) by month 6 and 44% (95% confidence interval: -46.6 to -42.1) by month 12. CD4+ and CD8+ T-cell subsets strongly correlated with absolute lymphocyte count, with greater decreases from baseline to 6 months vs 6-12 months, and in CD8+ vs CD4+ T cells. Prior natalizumab was not a risk factor for lymphopenia. CONCLUSION/CONCLUSIONS:Dimethyl fumarate-associated decline in absolute lymphocyte count in the first 12 months correlated with decline in CD4+ and CD8+ T cells and was independent of prior natalizumab. Absolute lymphocyte count monitoring continues to be an effective strategy to identify patients at risk of prolonged lymphopenia.
PMCID:7227148
PMID: 32440353
ISSN: 2055-2173
CID: 5342262

Multiple Sclerosis: Clinical Updates in Women's Health Care Primary and Preventive Care Review

Fang, Xiang; Patel, Chilvana; Gudesblatt, Mark
Multiple sclerosis (MS) is a chronic inflammatory and demyelinating disease of the central nervous system. The disease affects more women than men and often is diagnosed during a woman's childbearing years. Typical clinical presentations of the disease are extensive and variable, with symptoms that include dysregulated mood, fatigue, vision problems, weakness, tremor, imbalance, abnormal sensations, bladder dysfunction, and heat sensitivity. If a woman aged 15-50 years experiences these neurologic symptoms in isolation or combination, and the symptoms are not explained by other underlying medical conditions, MS should be suspected. Multiple sclerosis can be divided into four clinical subtypes: 1) relapsing-remitting MS, 2) secondary progressive MS, 3) primary progressive MS, and 4) clinically isolated syndrome. Relapsing-remitting MS at the time of onset is the most common form and accounts for approximately 80% of all cases of MS. Relapsing-remitting MS does not affect life expectancy. However, because of the neurodegenerative and progressive course of the disease, patients accumulate physical and cognitive disabilities over time that result in impaired ability to work, increased financial burden, and slightly increased mortality. A variety of possible risk and prognostic indicators have been identified that may predict the course of disease, particularly the extent of relapses and disability. Multiple sclerosis currently is incurable, but many disease-modifying therapies are available that can reduce the frequency of clinically evident exacerbations and accumulation of disease burden as defined by the number of lesions identified on magnetic resonance imaging. The choice of disease-modifying therapies, contraception use, and treatment of symptoms should be individualized based on age at onset and disease activity and, during pregnancy, the gestational age. Proactive management of MS across the woman's life cycle reduces morbidity, improves maternal and fetal health during pregnancy and the postpartum period, and increases quality-of life-measures for patients and their families.
PMID: 32080049
ISSN: 1873-233x
CID: 5342252

The Association Between MRI Brain Volumes and Computerized Cognitive Scores of People with Multiple Sclerosis [Meeting Abstract]

Golan, Daniel; Srinivasan, Jared; Zarif, Myassar; Bumstead, Barbara; Buhse, Marijean; Fafard, Lori; Wilken, Jeffrey; Sullivan, Cynthia; Fratto, Timothy; VanVlierberghe, Eline; Sima, Diana; VanHecke, Wim; Gudesblatt, Mark
ISI:000536058008072
ISSN: 0028-3878
CID: 5342752

Efficacy of Diroximel Fumarate in Relapsing-Remitting MS Patients Who Are Newly Diagnosed or Previously Treated With Interferons or Glatiramer Acetate [Meeting Abstract]

Jasinska, E.; Wray, S.; Ziemssen, T.; Leigh-Pemberton, R.; Chen, H.; Kapadia, S.; Hanna, J.; Gudesblatt, M.
ISI:000534616801030
ISSN: 1351-5101
CID: 5342732

Multiple Sclerosis Management: Predicting Disease Trajectory Of Multiple Sclerosis On Multi-dimensional Data Including Digital Cognitive Assessments And Patient Reported Outcomes Using Machine Learning Techniques [Meeting Abstract]

Srinivasan, J.; Gudesblatt, M.
ISI:000532412600212
ISSN: 1352-4585
CID: 5342722

The Association Between MRI Brain Volumes And Computerized Multi-domain Cognitive Scores Of People With Multiple Sclerosis [Meeting Abstract]

Golan, D.; Srinivasan, J.; Gudesblatt, M.
ISI:000532412600206
ISSN: 1352-4585
CID: 5342712

Multiple sclerosis and cognitive impairment: computerized cognitive assessment and promis-cognitive function questionnaire: an unfulfilled promis [Meeting Abstract]

Kaczmarek, O.; Srinivasan, J.; Zarif, M.; Bumstead, B.; Buhse, M.; Golan, D.; Wilken, J.; Jaenicke, K.; Doroski, W.; Lund, D.; Gudesblatt, M.
ISI:000596547100344
ISSN: 1352-4585
CID: 5342822

Multiple Sclerosis Management And EDSS: A Great Start, But A Reason For Change Was Never So Apparent And Needed [Meeting Abstract]

Gudesblatt, M.; Srinivasan, J.; Bumstead, B.; Zarif, M.; Giovannoni, G.
ISI:000532412600070
ISSN: 1352-4585
CID: 5342702

Ambulation Impact In People With Multiple Sclerosis: More Than Just A Timed 25 Foot Walk [Meeting Abstract]

Srinivasan, J.; Giannuzzi, A.; Cascone, A.; Skudin, C.; Gudesblatt, M.
ISI:000532412600061
ISSN: 1352-4585
CID: 5342692