Literature DB >> 31435490

Latent class analysis of a heterogeneous international sample of patients with myalgic encephalomyelitis/chronic fatigue syndrome.

Kayla A Huber1,1, Madison Sunnquist2, Leonard A Jason3.   

Abstract

BACKGROUND: Individuals with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) routinely display differences in symptomatology, as well as illness course, onset, duration, and functional disability. Given such diversity, previous work has attempted to identify symptom-based ME/CFS subtypes. However, results have been inconsistent.
PURPOSE: This study sought to elucidate potential subtypes of ME/CFS as well as explore the impact of subtype membership on health functioning.
METHODS: Twelve non-core (i.e., less frequently endorsed) symptoms were included in a latent class analysis of 1,210 adults with ME/CFS. Demographic and illness-related predictors of class membership were evaluated with a multinomial logistic regression. ANOVAs were then performed to determine if there were significant differences across class on the eight subscales of the Short-Form Health Survey (SF-36).
RESULTS: A six-class solution was selected, which consisted of one class that was likely to endorse all non-core symptoms, one class that was unlikely to endorse any non-core symptoms, and four classes that were likely to endorse either one or two non-core symptom domains (i.e., circulatory/neuroendocrine impairment, orthostatic intolerance, and gastro-intestinal distress). Significant functioning differences by class were present for all SF-36 subscales.
CONCLUSIONS: These results are suggestive of subtypes of ME/CFS and, if replicated, may assist physicians in providing tailored treatment to patients and allow researchers to form more homogeneous samples.

Entities:  

Keywords:  chronic fatigue syndrome; health functioning; latent class analysis; myalgic encephalomyelitis; subtypes

Year:  2018        PMID: 31435490      PMCID: PMC6703845          DOI: 10.1080/21641846.2018.1494530

Source DB:  PubMed          Journal:  Fatigue        ISSN: 2164-1846


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