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Dive into the research topics where Salim Chahin is active.

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Featured researches published by Salim Chahin.


Journal of NeuroVirology | 2015

A risk classification for immunosuppressive treatment-associated progressive multifocal leukoencephalopathy

Salim Chahin; Joseph R. Berger

Progressive multifocal leukoencephalopathy (PML) is a rare, complex opportunistic infection of the central nervous system caused by the JC virus. This past decade, PML was increasingly recognized to be associated with the use of immunosuppressive and biologic agents. The risk for PML differs among these agents and remains difficult to quantify because of the complex pathogenesis of PML and the presence of confounding factors. This paper explores and updates the association of PML with different biologic and immunosuppressive agents and proposes an expanded classification system for the risk of PML. We identify three classes of drug that vary by PML risk, latency to infection, and underlying illness. We also review some of the most common agents with known associations to PML and explore risk mitigation strategies that aim to inform the decision-making process for clinicians and patients in the face of the changing incidence of PML and the growing landscape of immunologic agents.


Neurology | 2016

Acute disseminated encephalomyelitis in 228 patients A retrospective, multicenter US study

Diederik L.H. Koelman; Salim Chahin; Soe Mar; Arun Venkatesan; George Hoganson; Anusha K. Yeshokumar; Paula Barreras; Bittu Majmudar; Joshua P. Klein; Tanuja Chitnis; David Benkeser; Marco Carone; Farrah J. Mateen

Objective: To analyze the range of demographic, clinical, MRI, and CSF features of acute disseminated encephalomyelitis (ADEM), a rare, typically monophasic demyelinating disorder, and analyze long-term outcomes including time and risk factors for subsequent clinical events as well as competing diagnoses. Methods: We performed a retrospective, multicenter study in 4 US academic medical centers of all patients clinically diagnosed with ADEM. Initial presentation of pediatric and adult ADEM and monophasic and multiphasic disease were compared. The Aalen-Johansen estimator was used to produce estimates of the probability of transitioning to a multiphasic diagnosis as a function of time since initial diagnosis, treating death and alternative diagnoses as competing risks. Results: Of 228 patients (122 children, age range 1–72 years, 106 male, median follow-up 24 months [25th–75th percentile 6–67], 7 deaths), approximately one quarter (n = 55, 24%) experienced at least one relapse. Relapsing disease in children was more often diagnosed as multiphasic ADEM than in adults (58% vs 21%, p = 0.007), in whom MS was diagnosed more often. Encephalopathy at initial presentation (hazard ratio [HR] 0.383, p = 0.001), male sex (HR 0.394, p = 0.002), and increasing age at onset (HR 0.984, p = 0.035) were independently associated with a longer time to a demyelinating disease relapse in a multivariable model. In 17 patients, diagnoses other than demyelinating disease were concluded in long-term follow-up. Conclusions: Relapsing disease after ADEM is fairly common and associated with a few potentially predictive features at initial presentation. Age-specific guidelines for ADEM diagnosis and treatment may be valuable, and vigilance for other, mostly rare, diseases is imperative.


Multiple sclerosis and related disorders | 2015

Relation of quantitative visual and neurologic outcomes to fatigue in multiple sclerosis

Salim Chahin; Deborah Miller; Reiko Sakai; James A. Wilson; Teresa C. Frohman; Clyde Markowitz; Dina A. Jacobs; Ari J. Green; Peter A. Calabresi; Elliot M. Frohman; Steven L. Galetta; Laura J. Balcer

BACKGROUND The relation of fatigue in multiple sclerosis (MS) to the visual system, an emerging structural and functional surrogate in MS, has not been well established. OBJECTIVE We examined how physical and cognitive fatigue could be associated with visual dysfunction and neurologic impairment. METHODS At a single time-point, we assessed 143 patients with: Low-contrast letter acuity (LCLA) and high-contrast visual acuity (VA) testing, the 25-Item National Eye Institute Visual Functioning Questionnaire (NEI-VFQ-25) and Neuro-Ophthalmic Supplement, the Modified Fatigue Impact Scale (MFIS), the MS Functional Composite (MSFC), and the Expanded Disability Status Scale (EDSS). RESULTS Worse binocular LCLA scores were associated with increased levels of total and physical fatigue (p≤0.026). Greater levels of fatigue were also associated with reduced vision-specific QOL (p<0.001). Patients with more physical, but not cognitive, fatigue had greater levels of impairment by the Timed 25-Foot Walk (T25W, r=0.39, p<0.001), 9-Hole Peg Test (9HP r=0.22, p=0.011) and EDSS (r=0.45, p<0.001). CONCLUSIONS Reduced vision in MS is highly associated with physical fatigue and could be used to capture more global, difficult to describe, symptoms. The potential differences in physical vs. cognitive fatigue and their correlates may begin to provide insight into their underlying mechanisms.


Journal of Neuro-ophthalmology | 2015

Vision in a phase 3 trial of natalizumab for multiple sclerosis: relation to disability and quality of life.

Salim Chahin; Laura J. Balcer; Deborah Miller; Annie Zhang; Steven L. Galetta

Background: Low-contrast visual acuity (LCVA), a sensitive measure of visual function in multiple sclerosis (MS), demonstrated treatment effects as a secondary outcome measure in the Phase 3 trial of natalizumab, AFFIRM. In these posttrial analyses, we studied the relation of visual function to quality of life (QOL), magnetic resonance imaging (MRI) measures, and Expanded Disability Status Scale (EDSS) scores. Methods: At baseline and at 52 and 104 weeks in AFFIRM, patients underwent binocular testing of LCVA (1.25% and 2.5% contrast) and high-contrast visual acuity (HCVA). Vision-specific QOL was assessed by the Impact of Visual Impairment Scale (IVIS), whereas the SF-36 Health Survey and Visual Analog Scale were administered as generic QOL measures and the EDSS as a measure of neurologic impairment. Results: Among QOL measures, IVIS scores showed the most significant correlations with visual dysfunction at all time points in the trial (r= −0.25 to −0.45, P < 0.0001 for LCVA and HCVA). Higher MRI T1- and T2-lesion volumes were also associated with worse vision scores at all time points (P < 0.0001). Clinically meaningful worsening (progression) of LCVA was noted in substantial proportions of patients in AFFIRM and was prevalent even among those without EDSS progression over 2 years (21.9% with LCVA progression at 2.5% contrast; 26.2% at 1.25% contrast). HCVA worsened in only 3.7% of patients without EDSS progression. Conclusions: Loss of visual function, particularly as measured by LCVA, was common in AFFIRM, occurring in >20% of patients. Both LCVA and HCVA scores reflect vision-specific aspects of QOL, but LCVA provides information about disability progression not entirely captured by the EDSS. Vision represents a key dimension of outcome assessment for MS and adds valuable information on disability and QOL that can be useful to clinicians.


NeuroImage: Clinical | 2016

PREVAIL: Predicting Recovery through Estimation and Visualization of Active and Incident Lesions.

Jordan D. Dworkin; Elizabeth M. Sweeney; Matthew K. Schindler; Salim Chahin; Daniel S. Reich; Russell T. Shinohara

Objective The goal of this study was to develop a model that integrates imaging and clinical information observed at lesion incidence for predicting the recovery of white matter lesions in multiple sclerosis (MS) patients. Methods Demographic, clinical, and magnetic resonance imaging (MRI) data were obtained from 60 subjects with MS as part of a natural history study at the National Institute of Neurological Disorders and Stroke. A total of 401 lesions met the inclusion criteria and were used in the study. Imaging features were extracted from the intensity-normalized T1-weighted (T1w) and T2-weighted sequences as well as magnetization transfer ratio (MTR) sequence acquired at lesion incidence. T1w and MTR signatures were also extracted from images acquired one-year post-incidence. Imaging features were integrated with clinical and demographic data observed at lesion incidence to create statistical prediction models for long-term damage within the lesion. Validation The performance of the T1w and MTR predictions was assessed in two ways: first, the predictive accuracy was measured quantitatively using leave-one-lesion-out cross-validated (CV) mean-squared predictive error. Then, to assess the prediction performance from the perspective of expert clinicians, three board-certified MS clinicians were asked to individually score how similar the CV model-predicted one-year appearance was to the true one-year appearance for a random sample of 100 lesions. Results The cross-validated root-mean-square predictive error was 0.95 for normalized T1w and 0.064 for MTR, compared to the estimated measurement errors of 0.48 and 0.078 respectively. The three expert raters agreed that T1w and MTR predictions closely resembled the true one-year follow-up appearance of the lesions in both degree and pattern of recovery within lesions. Conclusion This study demonstrates that by using only information from a single visit at incidence, we can predict how a new lesion will recover using relatively simple statistical techniques. The potential to visualize the likely course of recovery has implications for clinical decision-making, as well as trial enrichment.


Multiple sclerosis and related disorders | 2016

Binocular low-contrast letter acuity and the symbol digit modalities test improve the ability of the Multiple Sclerosis Functional Composite to predict disease in pediatric multiple sclerosis

Amy Waldman; Salim Chahin; Amy M. Lavery; Geraldine Liu; Brenda Banwell; Grant T. Liu; Laura J. Balcer

BACKGROUND Outcome measures to capture disability, such as the Multiple Sclerosis Functional Composite (MSFC), were developed to enhance outcome measurements for clinical trials in adults with multiple sclerosis (MS). The MSFC initially included three components: a timed 25-foot walk [T25FW], 9-hole peg test [9HPT], and the Paced Auditory Serial Addition Task [PASAT]. Modifications to the original MSFC, such as adding binocular low-contrast letter acuity (LCLA) or substituting the symbol digit modalities test (SDMT) for the PASAT, improved the capacity to capture neurologic impairment in adults. Similar outcome scales for pediatric MS have not yet been established. OBJECTIVE To determine whether the three-component MSFC or a modified MSFC with LCLA and the SDMT better identifies neurological deficits in pediatric MS. METHODS We evaluated 5 measures (T25FW, 9HPT, Childrens PASAT [ChiPASAT], SDMT, and binocular LCLA [Sloan charts, 1.25% contrast]) in children with MS (disease onset <18 years) and healthy controls. To be able to compare measures whose scores have different scales, Z-scores were also created for each test based on the numbers of standard deviations from a control group mean, and these individual scale scores were combined to create composite scores. Logistic regression models, accounting for age, were used to determine whether the standard 3-component MSFC or modified versions (including 4 or 5 metrics) best distinguished children with MS from controls. RESULTS Twenty pediatric-onset MS subjects, aged 6-21 years, and thirteen healthy controls, aged 6-19 years, were enrolled. MS subjects demonstrated worse scores on the 9HPT (p=0.004) and SDMT (p=0.001), but not the 25FTW (adjusted for height, p=0.63) or the ChiPASAT (p=0.10): all comparisons adjusted for age. Decreased (worse) binocular LCLA scores were associated with MS (vs. control status, p=0.03, logistic regression; p=0.08, accounting for age). The MSFC composite score for the traditional 3 components did not differ between the groups (p=0.28). Replacing the ChiPASAT with the SDMT (OR 0.72, p=0.05) better distinguished MS from controls. A modified MSFC-4 with the SDMT replacing the ChiPASAT and including binocular 1.25% LCLA had the greatest capacity to distinguish pediatric MS from controls (OR 0.89, p=0.04, logistic regression). Including all 5 metrics as a composite MSFC-5 did not improve the model (p=0.18). CONCLUSIONS A modified MSFC (25FTW, 9HPT, SMDT, and binocular 1.25% LCLA) is more sensitive than the traditional MSFC or its components to capture the subtle impairments that characterize pediatric MS and should be validated in order to be considered for future pediatric MS trials.


Current Neurology and Neuroscience Reports | 2016

Vaccines in Multiple Sclerosis

Eric Williamson; Salim Chahin; Joseph R. Berger

Vaccinations help prevent communicable disease. To be valuable, a vaccine’s ability to prevent disease must exceed the risk of adverse effects from administration. Many vaccines present no risk of infection as they are comprised of killed or non-infectious components while other vaccines consist of live attenuated microorganisms which carry a potential risk of infection—particularly, in patients with compromised immunity. There are several unique considerations with respect to vaccination in the multiple sclerosis (MS) population. First, there has been concern that vaccination may trigger or aggravate the disease. Second, disease-modifying therapies (DMTs) employed in the treatment of MS may increase the risk of infectious complications from vaccines or alter their efficacy. Lastly, in some cases, vaccination strategies may be part of the treatment paradigm in attempts to avoid complications of therapy.


European Journal of Neurology | 2017

Acute disseminated encephalomyelitis in China, Singapore and Japan: a comparison with the USA.

D. L. H. Koelman; David Benkeser; Y. Xu; S. X. Neo; K. Tan; Masahisa Katsuno; Gen Sobue; J. Natsume; Salim Chahin; Soe Mar; Arun Venkatesan; Tanuja Chitnis; George Hoganson; Anusha K. Yeshokumar; Paula Barreras; Bittu Majmudar; Marco Carone; Farrah J. Mateen

Ethnicity‐related differences in the incidence of acute disseminated encephalomyelitis (ADEM) and other demyelinating diseases including multiple sclerosis and neuromyelitis optica spectrum disorders have been reported. Little is reported on the influence of ethnicity and geographical location in ADEM.


Multiple sclerosis and related disorders | 2018

Uncovering the Association Between Fatigue and Fatigability in Multiple Sclerosis Using Cognitive Control

Eli K. Cehelyk; Denise Y. Harvey; Meghan L. Grubb; Rasha Jalel; Mohammad S. El-Sibai; Clyde Markowitz; Joseph R. Berger; Roy H. Hamilton; Salim Chahin


Neurology | 2015

Comparison of Cirrus and Spectralis Optical Coherence Tomography: Factors Associated With Differences in Retinal Nerve Fiber Thickness Measurement (P5.312)

James M. Wilson; Salim Chahin; Dina A. Jacobs; Clyde Markowitz; Peter A. Calabresi; Elliot M. Frohman; Steven L. Galetta; Laura J. Balcer

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Clyde Markowitz

Hospital of the University of Pennsylvania

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Elliot M. Frohman

University of Texas Southwestern Medical Center

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Ari J. Green

University of California

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Dina A. Jacobs

University of Pennsylvania

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James M. Wilson

University of Pennsylvania

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Peter A. Calabresi

Johns Hopkins University School of Medicine

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Amy Waldman

Children's Hospital of Philadelphia

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