Literature DB >> 29275782

Chronic fatigue syndrome (CFS/ME) symptom-based phenotypes and 1-year treatment outcomes in two clinical cohorts of adult patients in the UK and The Netherlands.

Simon M Collin1, Jon Heron2, Stephanie Nikolaus3, Hans Knoop3, Esther Crawley2.   

Abstract

OBJECTIVE: We previously described symptom-based chronic fatigue syndrome (CFS/ME) phenotypes in clinical assessment data from 7041 UK and 1392 Dutch adult CFS/ME patients. Here we aim to replicate these phenotypes in a more recent UK patient cohort, and investigate whether phenotypes are associated with 1-year treatment outcome.
METHODS: 12 specialist CFS/ME services (11 UK, 1 NL) recorded the presence/absence of 5 symptoms (muscle pain, joint pain, headache, sore throat, and painful lymph nodes) which can occur in addition to the 3 symptoms (post-exertional malaise, cognitive dysfunction, and disturbed/unrefreshing sleep) that are present for almost all patients. Latent Class Analysis (LCA) was used to assign symptom profiles (phenotypes). Multinomial logistic regression models were fitted to quantify associations between phenotypes and overall change in health 1year after the start of treatment.
RESULTS: Baseline data were available for N=918 UK and N=1392 Dutch patients, of whom 416 (45.3%) and 912 (65.5%) had 1-year follow-up data, respectively. 3- and 4-class phenotypes identified in the previous UK patient cohort were replicated in the new UK cohort. UK patients who presented with 'polysymptomatic' and 'pain-only' phenotypes were 57% and 67% less likely (multinomial odds ratio (MOR) 0.43 (95% CI 0.19-0.94) and 0.33 (95% CI 0.13-0.84)) to report that their health was "very much better" or "much better" than patients who presented with an 'oligosymptomatic' phenotype. For Dutch patients, polysymptomatic and pain-only phenotypes were associated with 72% and 55% lower odds of improvement (MOR 0.28 (95% CI 0.11, 0.69) and 0.45 (95% CI 0.21, 0.99)) compared with oligosymptomatic patients.
CONCLUSIONS: Adult CFS/ME patients with multiple symptoms or pain symptoms who present for specialist treatment are much less likely to report favourable treatment outcomes than patients who present with few symptoms.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chronic fatigue syndrome; Latent class analysis; Phenotypes; Symptom profiles; Treatment outcomes

Mesh:

Year:  2017        PMID: 29275782     DOI: 10.1016/j.jpsychores.2017.11.007

Source DB:  PubMed          Journal:  J Psychosom Res        ISSN: 0022-3999            Impact factor:   3.006


  3 in total

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Authors:  Maud De Venter; Jela Illegems; Rita Van Royen; Bernard G C Sabbe; Greta Moorkens; Filip Van Den Eede
Journal:  Front Psychiatry       Date:  2020-06-12       Impact factor: 4.157

2.  Prevalence and treatment of Chronic Fatigue Syndrome/Myalgic Encephalomyelitis and co-morbid severe health anxiety.

Authors:  Jo Daniels; Hannah Parker; Paul Martin Salkovskis
Journal:  Int J Clin Health Psychol       Date:  2019-12-24

3.  Elevated blood lactate in resting conditions correlate with post-exertional malaise severity in patients with Myalgic encephalomyelitis/Chronic fatigue syndrome.

Authors:  Alaa Ghali; Carole Lacout; Maria Ghali; Aline Gury; Anne-Berengere Beucher; Pierre Lozac'h; Christian Lavigne; Geoffrey Urbanski
Journal:  Sci Rep       Date:  2019-12-11       Impact factor: 4.379

  3 in total

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