Contributions
Abstract: EP1369
Type: ePoster
Abstract Category: Clinical aspects of MS - 7 MS symptoms
Introduction: Fatigue is an underestimated symptom affecting up to 95% of patients with multiple sclerosis (MS). It doesn't only exacerbate impairment, but also affects a patient's sense of control over the illness. In order to help patients cope with this disabling but treatable aspect of MS, it is necessary to understand the correlation between fatigue domains, cognitive functioning, and physical ability.
Methods: Adult MS patients diagnosed as relapsing remitting (RRMS) or progressive were clinically evaluated. The Modified Fatigue Impact Scale (MFIS) was administered to both MS and healthy age-and-sex-matched control subjects. Processing speed was assessed using the Symbol Digit Modality Test (SDMT) and global brain atrophy was evaluated using MRI examinations. 3DT1 and 3DFLAIR images were acquired and processed. Intracranial volume (ICV) and subcortical gray matter structures, lateral ventricles and corpus callosum were segmented and their volumes measured using the volBrain pipeline (http://volbrain.upv.es) and the SIENAX tool in FSL. Univariate analysis was performed to explore differences between subjects with and without fatigue. Multivariate analysis controlling for age, gender, education level, EDSS, disease duration, clinical depression, and MS type and treatment was performed to see the correlations between fatigue and the different variables.
Results: 113 MS patients with mean disease duration of 8.6 years and 57 healthy subjects were recruited. Significant fatigue was seen in 32.3% of MS patients and 6.2% in controls. Among fatigued MS participants, 66% and 75% had respective physical and cognitive fatigue. Multivariate analysis showed that SDMT correlated negatively with fatigue (p=0.001, OR=0.88), more specifically with its cognitive domain (p= 0.003, OR=0.9). In addition, Physical fatigue positively correlated with EDSS (p=0.04, OR=1.4), particularly with the pyramidal FS score (p=0.031, OR=2.5). In multivariable linear regression and adjusting for age, disease duration, EDSS, and depression, there was a negative correlation between MFIS scores and ICV (β = -0.54, p< 0.0001) and a positive correlation with the volume of lateral ventricles (β= 0.37, p=0.006) and all-ventricular volume (β = 0.35, p=0.007).
Conclusion: . There is an association between cognitive fatigue and SDMT, as well as physical fatigue with EDSS pyramidal FS score. There is also an association between cognitive and physical fatigue and brain atrophy.
Disclosure: All authors have no conflict of interest to disclose.
Abstract: EP1369
Type: ePoster
Abstract Category: Clinical aspects of MS - 7 MS symptoms
Introduction: Fatigue is an underestimated symptom affecting up to 95% of patients with multiple sclerosis (MS). It doesn't only exacerbate impairment, but also affects a patient's sense of control over the illness. In order to help patients cope with this disabling but treatable aspect of MS, it is necessary to understand the correlation between fatigue domains, cognitive functioning, and physical ability.
Methods: Adult MS patients diagnosed as relapsing remitting (RRMS) or progressive were clinically evaluated. The Modified Fatigue Impact Scale (MFIS) was administered to both MS and healthy age-and-sex-matched control subjects. Processing speed was assessed using the Symbol Digit Modality Test (SDMT) and global brain atrophy was evaluated using MRI examinations. 3DT1 and 3DFLAIR images were acquired and processed. Intracranial volume (ICV) and subcortical gray matter structures, lateral ventricles and corpus callosum were segmented and their volumes measured using the volBrain pipeline (http://volbrain.upv.es) and the SIENAX tool in FSL. Univariate analysis was performed to explore differences between subjects with and without fatigue. Multivariate analysis controlling for age, gender, education level, EDSS, disease duration, clinical depression, and MS type and treatment was performed to see the correlations between fatigue and the different variables.
Results: 113 MS patients with mean disease duration of 8.6 years and 57 healthy subjects were recruited. Significant fatigue was seen in 32.3% of MS patients and 6.2% in controls. Among fatigued MS participants, 66% and 75% had respective physical and cognitive fatigue. Multivariate analysis showed that SDMT correlated negatively with fatigue (p=0.001, OR=0.88), more specifically with its cognitive domain (p= 0.003, OR=0.9). In addition, Physical fatigue positively correlated with EDSS (p=0.04, OR=1.4), particularly with the pyramidal FS score (p=0.031, OR=2.5). In multivariable linear regression and adjusting for age, disease duration, EDSS, and depression, there was a negative correlation between MFIS scores and ICV (β = -0.54, p< 0.0001) and a positive correlation with the volume of lateral ventricles (β= 0.37, p=0.006) and all-ventricular volume (β = 0.35, p=0.007).
Conclusion: . There is an association between cognitive fatigue and SDMT, as well as physical fatigue with EDSS pyramidal FS score. There is also an association between cognitive and physical fatigue and brain atrophy.
Disclosure: All authors have no conflict of interest to disclose.