Literature DB >> 32672101

Patient reported outcomes and performance metrics at diagnosis of secondary progressive multiple sclerosis.

Devon S Conway1, Nicolas R Thompson2, Xiangyi Meng3, Kristen Johnson3, Robert J Fox1.   

Abstract

BACKGROUND: Relapsing-remitting multiple sclerosis (RRMS) usually evolves into secondary progressive multiple sclerosis (SPMS). Recognition of SPMS is important because of prognostic and treatment implications.
OBJECTIVE: The objective of this study is to determine distributions of patient-reported outcomes (PROs) and the Timed 25-Foot Walk (T25FW) at SPMS diagnosis and describe the evolution of these metrics in patients with SPMS.
METHODS: A tertiary MS center clinical database was queried to identify patients with RRMS and SPMS. PRO data including performance scales (PS), Patient Health Questionnaire-9 (PHQ-9), European Quality of Life-5-Dimensions (EQ-5D), and the T25FW were extracted. Descriptive statistics were calculated at SPMS diagnosis, and score trajectories were modeled. Cox proportional hazards modeling was used to estimate hazard ratios for time to SPMS diagnosis.
RESULTS: Among 5,558 patients identified, 164 were diagnosed with SPMS between January 2008 and June 2016. At SPMS diagnosis, the mean outcome values were T25FW = 12.5 seconds (standard deviation, SD = 10.7), PS = 15.6 (SD = 6.5), PHQ-9 = 6.8 (SD = 4.2), and EQ-5D = 0.63 (SD = 0.20). Distinct patterns were observed in the measures leading up to SPMS diagnosis. Higher age, male gender, longer disease duration, and greater disability were associated with an increased hazard of SPMS diagnosis.
CONCLUSION: Longitudinal monitoring of PROs and performance metrics may help identify those at higher risk of near-term SPMS.

Entities:  

Keywords:  Multiple sclerosis; outcome measurement; progressive; relapsing/remitting

Year:  2020        PMID: 32672101     DOI: 10.1177/1352458520936214

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  2 in total

1.  Discovery of Novel Biomarkers for Diagnosing and Predicting the Progression of Multiple Sclerosis Using TMT-Based Quantitative Proteomics.

Authors:  Yijun Shi; Yaowei Ding; Guoge Li; Lijuan Wang; Rasha Alsamani Osman; Jialu Sun; Lingye Qian; Guanghui Zheng; Guojun Zhang
Journal:  Front Immunol       Date:  2021-08-20       Impact factor: 7.561

2.  Consensus on early detection of disease progression in patients with multiple sclerosis.

Authors:  José E Meca-Lallana; Bonaventura Casanova; Alfredo Rodríguez-Antigüedad; Sara Eichau; Guillermo Izquierdo; Carmen Durán; Jordi Río; Miguel Ángel Hernández; Carmen Calles; José M Prieto-González; José Ramón Ara; Dionisio F Uría; Lucienne Costa-Frossard; Antonio García-Merino; Celia Oreja-Guevara
Journal:  Front Neurol       Date:  2022-07-28       Impact factor: 4.086

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.