Highlights
- •Poor HRQOL is not closely related to the common MS symptoms.
- •Individual factors modify the reliability of HRQOL assessment.
- •Unemployment, smoking, and night waking are the most implicated individual factors.
- •Sensitivity and specificity add weight to the significance of variables.
Abstract
Background
Individual factors in multiple sclerosis (MS) patients may modify the reliability
of health-related quality of life (HRQOL) assessment. Knowledge of these effects may
enable physicians to identify patients at risk for poor perceived health.
Objective
To investigate what individual factors may interact with MS symptoms and their severity
to modify the reliability of HRQOL assessment; to explore the predictive values of
the significant variables identified.
Methods
HRQOL was assessed in 57 patients by the 36-Item Short Form Health Survey (SF-36).
The Physical Component Summary and Mental Component Summary were dichotomized and
applied as dependent variables for logistic regression analysis. The Functional Independence
Measure (FIM), Expanded Disability Status Scale (EDSS), Fatigue Severity Scale (FSS),
Cognitive Behavioral Assessment (CBA) and specific individual factors were tested
as independent variables. Two-way contingency tables were used to calculate the predictive
values.
Results
Unemployment, smoking, and night waking were the most significant individual factors.
Introversion, physical pain and difficulty falling asleep were also significant. EDSS-total
≥2, EDSS-pyramidal ≥2, FIM ≤123, FSS ≥5, depressive manifestations and bowel/bladder dysfunction were significant MS-related
determinants. Sensitivity and specificity differed widely for each variable.
Conclusions
Individual factors have relevance in HRQOL assessment. Their identification may help
physicians construct the patient's risk profile. Sensitivity and specificity add weight
to the significance of variables.
Keywords
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Article info
Publication history
Published online: July 28, 2014
Accepted:
July 21,
2014
Received in revised form:
July 15,
2014
Received:
May 14,
2014
Identification
Copyright
© 2014 Elsevier B.V. Published by Elsevier Inc. All rights reserved.
