Cognitive functions and disability progression in relapsing-remitting multiple sclerosis: A longitudinal study

Heled, Eyal; Aloni, Roy; Achiron, Anat

doi:10.1080/23279095.2019.1624260

Cited by 19 publications

(22 citation statements)

References 48 publications

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“…Based on the findings, age and gender affects cognitive functioning among MS patients. However, the relationships may not be linear as demonstrated by Heled, Aloni and Achiron (2019); gender and life stages may have joint effect on cognitive functioning among this population. The findings that disease duration only had predictive ability in RRMS implies that the course of the disease might be more dominant in influencing cognitive functioning among MS patients.…”

Section: Discussionmentioning

confidence: 76%

“…Niino and colleagues (2014) found weak association between disease duration with similar cognitive functioning. Heled, Aloni and Achiron (2019) found that disease duration is not associated with general cognitive impairments. In another instance, a large sample study done by Borghi and colleagues (2013) among 303 MS patients (212 females, 91 males) showed that disease duration and disability are the significant determinants of verbal memory, visuospatial memory, information processing speed, working memory and attention but only among patients with RRMS.…”

Section: Methodsmentioning

confidence: 94%

“…Disability. Disability was found to be negatively correlated with cognitive functioning among MS patients (Heled, Aloni & Achiron 2019;Nabavi et al 2016;Niino et al 2014). For example, Heled, Aloni and Achiron (2019) conducted a study on 183 MS patients (125 females and 58 males) found that disability positively correlates with cognitive impairment and predicted information processing speed.…”

Section: Methodsmentioning

confidence: 99%

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A Narrative Review on Biopsychosocial Predictors of Cognitive Impairment among Multiple Sclerosis Patients: Directions for Malaysia Studies

Wearn

Din

Joseph

2021

JSKM

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Cognitive impairment is the most disabling symptoms of Multiple Sclerosis (MS). Researchers have been studying factors that could predict cognitive impairment among MS patients hoping to alleviate its consequences and gather indicators of the disease progression. However, there were limited up-to-date articles that review the predictors of cognitive impairment among MS patients. In Malaysia, the topic about cognitive functioning in MS was absent. This review aims to identify and synthesize the research evidence concerning biopsychosocial variables on cognitive impairment among this population for future directions in Malaysia researches. A narrative review was performed by identifying research articles from year 2004 to 2019 through PubMed, EBSCOhost, Scopus and Google Scholar. Full-text articles meeting the selection criteria were included for qualitative synthesis. A total of 12 studies were included. Studies included in this paper found that age, course of disease and anxiety predicts cognitive functioning. Mixed results were found among variables such as gender, disability, fatigue, burden of lesion, depression and educational level. Stress was correlated with cognitive functioning but it was not a significant predictor. Although many factors were found to affect cognitive functioning among MS patients, evidence provided from this review indicates that their relationships might not be linear and direct.

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Section: Discussionmentioning

confidence: 76%

Section: Methodsmentioning

confidence: 94%

Section: Methodsmentioning

confidence: 99%

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A Narrative Review on Biopsychosocial Predictors of Cognitive Impairment among Multiple Sclerosis Patients: Directions for Malaysia Studies

Wearn

Din

Joseph

2021

JSKM

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“…A few longitudinal studies have investigated the association between clinical and imaging features of MS with cognitive decline, suggesting a predictive value of baseline cognitive status [5], baseline IPS [6], education, and aging [7]. Using different magnetic resonance imaging (MRI) techniques, a relationship has been demonstrated between CI and the combined effect of white matter (WM) and gray matter (GM) damage [8].…”

Section: Introductionmentioning

confidence: 99%

Dynamics and Predictors of Cognitive Impairment along the Disease Course in Multiple Sclerosis

López-Soley

Martínez‐Heras

Andorrà

et al. 2021

JPM

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(1) Background: The evolution and predictors of cognitive impairment (CI) in multiple sclerosis (MS) are poorly understood. We aimed to define the temporal dynamics of cognition throughout the disease course and identify clinical and neuroimaging measures that predict CI. (2) Methods: This paper features a longitudinal study with 212 patients who underwent several cognitive examinations at different time points. Dynamics of cognition were assessed using mixed-effects linear spline models. Machine learning techniques were used to identify which baseline demographic, clinical, and neuroimaging measures best predicted CI. (3) Results: In the first 5 years of MS, we detected an increase in the z-scores of global cognition, verbal memory, and information processing speed, which was followed by a decline in global cognition and memory (p < 0.05) between years 5 and 15. From 15 to 30 years of disease onset, cognitive decline continued, affecting global cognition and verbal memory. The baseline measures that best predicted CI were education, disease severity, lesion burden, and hippocampus and anterior cingulate cortex volume. (4) Conclusions: In MS, cognition deteriorates 5 years after disease onset, declining steadily over the next 25 years and more markedly affecting verbal memory. Education, disease severity, lesion burden, and volume of limbic structures predict future CI and may be helpful when identifying at-risk patients.

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“…Considering demographics, older age is a crucial contributor to CI in pwMS, 19 independently predicting cognitive outcome in MS. 8,20 Regarding clinical information, most frequently EDSS scores are used to predict cognitive function, but results are inconsistent. 21,22 In line, looking at the opposite direction, some studies found that early CI predicts EDSS progression, [23][24][25][26] while others found no predictive value. 27,28 Similarly, although demographics and clinical scores have been found to be related to CI in a large cohort of 1123 newly diagnosed pwMS or CIS, these measures in conjunction with conventional MRI data did not predict cognitive changes within 1 year.…”

Section: Discussionmentioning

confidence: 98%

Long-term course and morphological MRI correlates of cognitive function in multiple sclerosis

et al. 2020

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Background: Cognitive impairment frequently occurs in patients with MS (pwMS). Magnetic resonance imaging (MRI) markers could help to identify patients at risk for decline. Objective: To characterize the long-term course and morphological MRI correlates of cognitive function in pwMS. Methods: We invited 116 pwMS who had undergone clinical, cognitive, and MRI evaluations between 2006 and 2012 (baseline, BL) to attend follow-up (FU) testing between 2016 and 2018. Disability (expanded disability status scale (EDSS)), cognition (brief repeatable battery of neuropsychological test (BRB-N)), global and regional T2-lesion load (T2-LL), brain volumes, and cortical thickness were assessed. Results: Sixty-three pwMS were willing to attend the FU (54%; median EDSS = 2, interquartile range (IQR) = 2) and did not differ from non-participating pwMS regarding BL characteristics. At BL, half of the participants showed cognitive deficits in at least one domain. Across the entire group, we observed no relevant changes in physical disability and cognition over 10 years. BL thalamic volume best predicted cognitive function at FU, in addition to age and BL cognition, explaining 67% of variance. Cognitive decliners (23.8%) were older, had longer disease duration, and a tendency for lower thalamic volume at BL. Conclusion: Thalamic volume predicted FU cognitive function and distinguished declining from stable pwMS, underlining the potential of MRI to define risk groups.

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Cognitive functions and disability progression in relapsing-remitting multiple sclerosis: A longitudinal study

Cited by 19 publications

References 48 publications

A Narrative Review on Biopsychosocial Predictors of Cognitive Impairment among Multiple Sclerosis Patients: Directions for Malaysia Studies

A Narrative Review on Biopsychosocial Predictors of Cognitive Impairment among Multiple Sclerosis Patients: Directions for Malaysia Studies

Dynamics and Predictors of Cognitive Impairment along the Disease Course in Multiple Sclerosis

Long-term course and morphological MRI correlates of cognitive function in multiple sclerosis

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