Literature DB >> 30711764

Prognostic factors of disability in relapsing remitting multiple sclerosis.

Farren B S Briggs1, Nicolas R Thompson2, Devon S Conway3.   

Abstract

BACKGROUND: The clinical manifestation of multiple sclerosis (MS) is highly variable. Factors influencing phenotypic heterogeneity are not well known since most studies have relied on the Expanded Disability Status Scale which has modest inter/intra-rater reliability. We therefore sought to investigate other reliable and valid measures of impairment.
METHODS: We constructed a retrospective cohort of 2083 relapsing remitting MS patients using electronic health records to identify prognostic factors of Timed 25-Foot Walk (lower limb disability), Performance Scales Sum (perceived global disability), and Patient Health Questionnaire 9 (a depression tool). Patients had a clinical visit between 1/1/2008 and 5/29/2012, and at least one additional visit within approximately 3 years; the cohort consisted of 16,538 visits. The outcomes and predictors were extracted from the records. Longitudinal models were conducted, and sex- and race-specific differences were explored.
RESULTS: Walking speeds were slower in females, black patients, ever smokers, and Medicaid/Medicare beneficiaries. Higher body mass index (BMI), older age, longer disease duration, lower median income, and higher depression scores also predicted slower walking speeds. Older age, higher BMI, lower median income, higher depression scores, ever smokers and Medicaid/Medicare beneficiaries were associated with higher global disability. Those who were of younger age, higher BMI, lower median income, ever smoked, and on Medicaid had higher depressive scores. The effect of age and BMI on depressive scores were restricted to female and white patients, respectively.
CONCLUSION: We identified multiple longitudinal predictors of disability in relapsing remitting patients. Modifiable factors (including smoking and BMI) and adverse socioeconomic conditions were independently, and negatively associated with walking speed, global disability, and depression.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cohort study; Multiple sclerosis; Natural history; Prognosis

Mesh:

Year:  2019        PMID: 30711764     DOI: 10.1016/j.msard.2019.01.045

Source DB:  PubMed          Journal:  Mult Scler Relat Disord        ISSN: 2211-0348            Impact factor:   4.339


  14 in total

1.  Predicting onset of secondary-progressive multiple sclerosis using genetic and non-genetic factors.

Authors:  Elina Misicka; Corriene Sept; Farren B S Briggs
Journal:  J Neurol       Date:  2020-04-24       Impact factor: 4.849

2.  Smoking, obesity, and disability worsening in PPMS: an analysis of the INFORMS original trial dataset.

Authors:  Marcus W Koch; Jop Mostert; Pavle Repovic; James D Bowen; Eva Strijbis; Bernard Uitdehaag; Gary Cutter
Journal:  J Neurol       Date:  2021-08-15       Impact factor: 4.849

3.  Multiple Sclerosis Wellness Shared Medical Appointment Model: A Pilot Study.

Authors:  Justin R Abbatemarco; Jeffrey A Cohen; Belinda L Udeh; Sunakshi Bassi; Mary R Rensel
Journal:  Int J MS Care       Date:  2021-04-08

4.  The impact of socioeconomic status on subsequent neurological outcomes in multiple sclerosis.

Authors:  Devi Sai Sri Kavya Boorgu; Shruthi Venkatesh; Chirag M Lakhani; Elizabeth Walker; Ines M Aguerre; Claire Riley; Chirag J Patel; Philip L De Jager; Zongqi Xia
Journal:  Mult Scler Relat Disord       Date:  2022-06-24       Impact factor: 4.808

5.  Racial disparities in hypertension management among multiple sclerosis patients.

Authors:  Devon S Conway; Farren Bs Briggs; Ellen M Mowry; Kathryn C Fitzgerald; Carrie M Hersh
Journal:  Mult Scler Relat Disord       Date:  2022-06-15       Impact factor: 4.808

Review 6.  An Update on the Measurement of Motor Cerebellar Dysfunction in Multiple Sclerosis.

Authors:  Katherine Hope Kenyon; Frederique Boonstra; Gustavo Noffs; Helmut Butzkueven; Adam P Vogel; Scott Kolbe; Anneke van der Walt
Journal:  Cerebellum       Date:  2022-06-27       Impact factor: 3.648

7.  Association of body mass index with longitudinal rates of retinal atrophy in multiple sclerosis.

Authors:  Angeliki G Filippatou; Jeffrey Lambe; Elias S Sotirchos; Kathryn C Fitzgerald; Andrew Aston; Olwen C Murphy; Nicole Pellegrini; Nicholas Fioravante; Hunter Risher; Esther Ogbuokiri; Ohemaa Kwakyi; Brandon Toliver; Simidele Davis; Nicholas Luciano; Ciprian Crainiceanu; Jerry L Prince; Ellen M Mowry; Peter A Calabresi; Shiv Saidha
Journal:  Mult Scler       Date:  2020-04-16       Impact factor: 6.312

8.  Socioeconomic status and race are correlated with affective symptoms in multiple sclerosis.

Authors:  Yujie Wang; Fan Tian; Kathryn C Fitzgerald; Jagriti Jackie Bhattarai; Robert T Naismith; Megan Hyland; Peter A Calabresi; Ellen M Mowry
Journal:  Mult Scler Relat Disord       Date:  2020-02-14       Impact factor: 4.339

9.  Associations between smoking and walking, fatigue, depression, and health-related quality of life in persons with multiple sclerosis.

Authors:  Turhan Kahraman; Asiye Tuba Ozdogar; Zuhal Abasiyanik; Serkan Ozakbas
Journal:  Acta Neurol Belg       Date:  2020-03-28       Impact factor: 2.396

10.  Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis.

Authors:  Ruggiero Seccia; Daniele Gammelli; Fabio Dominici; Silvia Romano; Anna Chiara Landi; Marco Salvetti; Andrea Tacchella; Andrea Zaccaria; Andrea Crisanti; Francesca Grassi; Laura Palagi
Journal:  PLoS One       Date:  2020-03-20       Impact factor: 3.240

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