Literature DB >> 33276238

Clinical characteristics of a large multi-center cohort of people with multiple sclerosis over age 60.

Le H Hua1, Carrie M Hersh2, Fan Tian3, Ellen M Mowry3, Kathryn C Fitzgerald3.   

Abstract

BACKGROUND: As the peak prevalence of multiple sclerosis (MS) shifts due to an aging patient population, understanding the characteristics that define this older cohort to improve overall management is critical. We sought to determine the clinical characteristics of people with MS over age 60.
METHODS: Demographics, clinical characteristics, MS disease history, and Multiple Sclerosis Performance Test (MSPT) patient-reported outcomes and neuroperformance tests (NPTs) were collected from 10 academic MS centers in the US and Europe participating in the MS Partners Advancing Technology Health Solutions (MS PATHS) system. We characterized demographic and disease characteristics of included participants using descriptive statistics. We characterized prevalence of comorbidities and compared with estimated prevalences from the National Health and Nutrition Examination Survey (NHANES) respondents aged ≥60 years in 2017-2018.
RESULTS: We identified 2738 individuals over age 60 from MS PATHS, with 58.1% relapsing-remitting (RR) and 41.9% progressive. Our results showed median age (RR=65.7 years, progressive=66.0 years), age of symptom onset (RR and progressive=40.9 years), and disease duration (RR=22.8 years, progressive=23.3 years). Over two-thirds of individuals in our cohort were treated with DMTs. The most common DMT used in RR patients were interferons (17.6%) and glatiramer acetate (16.3%), while glatiramer acetate was the most common (12.0%) in progressive patients. Progressive patients had higher disability (higher median PDDS scores, worse Neuro-Qol T-scores, and worse NPTs) compared to the RR group. Pain was the most common comorbidity, followed by cardiac disease, depression, hypertension, dyslipidemia, and obesity. Compared to older NHANES participants, older people with MS were more likely to have depression (MS PATHS: 51.5% [95% CI: 49.5% to 53.5%] vs. NHANES: 21.7% [95% CI: 1619.3% to 22.2%]) and osteoporosis (MS PATHS: 12.7% [95% CI: 11.3% to 14.1%] vs. NHANES: 8.2% [95% CI: 6.2% to 10.3%]); they were less likely to be obese (MS PATHS: 29.4% [95% CI: 27.7% to 31.2%] vs. NHANES: 45.1% [95% CI: 38.9% to 51.3%]) and have diabetes (MS PATHS: 12.3% [95% CI: 11.1% to 13.6%] vs. NHANES: 22.5% [95% CI: 18.8% to 25.7%]).
CONCLUSIONS: Our study characterizes a large multi-center international cohort of people with MS over age 60. This contemporary cohort appears less disabled than prior studies, which may reflect long term impact of DMT availability on the natural history of MS. The burden of comorbidity in this population was generally high. Information on DMT use, comorbidity, and disability outcome measures will be beneficial in future studies evaluating the impact of therapeutic interventions in older individuals.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Aged; Comorbidity; Disability; Multiple sclerosis; Patient-reported outcomes measures; Quality of life

Mesh:

Substances:

Year:  2020        PMID: 33276238      PMCID: PMC8293698          DOI: 10.1016/j.msard.2020.102637

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


  29 in total

1.  Rising prevalence of vascular comorbidities in multiple sclerosis: validation of administrative definitions for diabetes, hypertension, and hyperlipidemia.

Authors:  Ruth Ann Marrie; Bo Nancy Yu; Stella Leung; Lawrence Elliott; Patricia Caetano; Sharon Warren; Christina Wolfson; Scott B Patten; Lawrence W Svenson; Helen Tremlett; John Fisk; James F Blanchard
Journal:  Mult Scler       Date:  2012-02-10       Impact factor: 6.312

2.  Processing speed test: Validation of a self-administered, iPad®-based tool for screening cognitive dysfunction in a clinic setting.

Authors:  Stephen M Rao; Genna Losinski; Lyla Mourany; David Schindler; Bernadett Mamone; Christine Reece; Danielle Kemeny; Sridar Narayanan; Deborah M Miller; Francois Bethoux; Robert A Bermel; Richard Rudick; Jay Alberts
Journal:  Mult Scler       Date:  2017-01-12       Impact factor: 6.312

3.  Subgroups of multiple sclerosis patients with larger treatment benefits: a meta-analysis of randomized trials.

Authors:  A Signori; I Schiavetti; F Gallo; M P Sormani
Journal:  Eur J Neurol       Date:  2015-03-19       Impact factor: 6.089

Review 4.  2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Authors:  Paul K Whelton; Robert M Carey; Wilbert S Aronow; Donald E Casey; Karen J Collins; Cheryl Dennison Himmelfarb; Sondra M DePalma; Samuel Gidding; Kenneth A Jamerson; Daniel W Jones; Eric J MacLaughlin; Paul Muntner; Bruce Ovbiagele; Sidney C Smith; Crystal C Spencer; Randall S Stafford; Sandra J Taler; Randal J Thomas; Kim A Williams; Jeff D Williamson; Jackson T Wright
Journal:  J Am Coll Cardiol       Date:  2017-11-13       Impact factor: 24.094

5.  Temporal trends in multiple sclerosis prevalence and incidence in a large population.

Authors:  Dalia L Rotstein; Hong Chen; Andrew S Wilton; Jeffrey C Kwong; Ruth Ann Marrie; Peter Gozdyra; Kristen M Krysko; Alexander Kopp; Ray Copes; Karen Tu
Journal:  Neurology       Date:  2018-03-16       Impact factor: 9.910

6.  Relapses in multiple sclerosis are age- and time-dependent.

Authors:  H Tremlett; Y Zhao; J Joseph; V Devonshire
Journal:  J Neurol Neurosurg Psychiatry       Date:  2008-06-05       Impact factor: 10.154

7.  Long-term evolution of multiple sclerosis disability in the treatment era.

Authors:  Bruce A C Cree; Pierre-Antoine Gourraud; Jorge R Oksenberg; Carolyn Bevan; Elizabeth Crabtree-Hartman; Jeffrey M Gelfand; Douglas S Goodin; Jennifer Graves; Ari J Green; Ellen Mowry; Darin T Okuda; Daniel Pelletier; H-Christian von Büdingen; Scott S Zamvil; Alisha Agrawal; Stacy Caillier; Caroline Ciocca; Refujia Gomez; Rachel Kanner; Robin Lincoln; Antoine Lizee; Pamela Qualley; Adam Santaniello; Leena Suleiman; Monica Bucci; Valentina Panara; Nico Papinutto; William A Stern; Alyssa H Zhu; Gary R Cutter; Sergio Baranzini; Roland G Henry; Stephen L Hauser
Journal:  Ann Neurol       Date:  2016-08-13       Impact factor: 10.422

Review 8.  The role of microglia in multiple sclerosis.

Authors:  Chun Luo; Chongdong Jian; Yuhan Liao; Qi Huang; Yuejuan Wu; Xixia Liu; Donghua Zou; Yuan Wu
Journal:  Neuropsychiatr Dis Treat       Date:  2017-06-26       Impact factor: 2.570

Review 9.  Targeting senescence to delay progression of multiple sclerosis.

Authors:  Wendy Oost; Nynke Talma; Jan F Meilof; Jon D Laman
Journal:  J Mol Med (Berl)       Date:  2018-09-18       Impact factor: 4.599

10.  Multiple Sclerosis Performance Test: Technical Development and Usability.

Authors:  Jane K Rhodes; David Schindler; Stephen M Rao; Fernando Venegas; Efrosini T Bruzik; Wendy Gabel; James R Williams; Glenn A Phillips; Colleen C Mullen; Jaime L Freiburger; Lyla Mourany; Christine Reece; Deborah M Miller; Francois Bethoux; Robert A Bermel; Lauren B Krupp; Ellen M Mowry; Jay Alberts; Richard A Rudick
Journal:  Adv Ther       Date:  2019-05-03       Impact factor: 3.845

View more
  3 in total

1.  Osteoporosis management and secondary fragility fracture rates in patients with multiple sclerosis: a matched cohort study.

Authors:  Bailey J Ross; Austin J Ross; Olivia C Lee; Timothy L Waters; McCayn M Familia; William F Sherman
Journal:  Osteoporos Int       Date:  2022-06-07       Impact factor: 5.071

2.  Bodyweight Measures and Lifestyle Habits in Individuals with Multiple Sclerosis and Moderate to Severe Disability.

Authors:  Moran Livne-Margolin; Itay Tokatly Latzer; Orit Pinhas-Hamiel; Gil Harari; Anat Achiron
Journal:  J Clin Med       Date:  2021-05-12       Impact factor: 4.241

Review 3.  Interferons and Multiple Sclerosis: Lessons from 25 Years of Clinical and Real-World Experience with Intramuscular Interferon Beta-1a (Avonex).

Authors:  Stanley L Cohan; Barry A Hendin; Anthony T Reder; Kyle Smoot; Robin Avila; Jason P Mendoza; Bianca Weinstock-Guttman
Journal:  CNS Drugs       Date:  2021-07-06       Impact factor: 5.749

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.