2023
DOI: 10.1186/s12883-023-03109-6
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Predictors of severity and outcome of multiple sclerosis relapses

Abstract: Background Multiple Sclerosis (MS) is a demyelinating disease of the central nervous system (CNS). The most common type of MS is the relapsing–remitting MS (RRMS) where relapses are the main component of the disease course. However, the relationship between the characteristics of the relapses on one hand and their severity and outcome on the other hand has not been fully characterized. Objectives To explore the characteristics of relapses among a … Show more

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Cited by 9 publications
(11 citation statements)
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“…The severity of relapse and residual findings are other clinical parameters to consider in follow-up, treatment intervention, and long-term treatment decisions. Moreover, studies by Naldi, Baghizadeh et al have shown that relapses involving polysymptomatic presentation tend to be more severe, and both parameters are considered poor prognostic factors [21][22][23][24][25] . In our study, recovery from an attack predicted an EDSS score of 4, and in those with a polysymptomatic onset, the proportion of those with an EDSS score of 4 was also higher.…”
Section: Discussionmentioning
confidence: 99%
“…The severity of relapse and residual findings are other clinical parameters to consider in follow-up, treatment intervention, and long-term treatment decisions. Moreover, studies by Naldi, Baghizadeh et al have shown that relapses involving polysymptomatic presentation tend to be more severe, and both parameters are considered poor prognostic factors [21][22][23][24][25] . In our study, recovery from an attack predicted an EDSS score of 4, and in those with a polysymptomatic onset, the proportion of those with an EDSS score of 4 was also higher.…”
Section: Discussionmentioning
confidence: 99%
“…Risk factors of poor relapse recovery have been described and include male sex, higher age at relapse, longer disease duration, and relapse characteristics such as motor and cerebellar involvement. 9 11 Data on paraclinical markers, for example, black holes in brain magnetic resonance imaging (MRI) seem less robust. 10 …”
Section: Introductionmentioning
confidence: 99%
“… 9 11 Data on paraclinical markers, for example, black holes in brain magnetic resonance imaging (MRI) seem less robust. 10 …”
Section: Introductionmentioning
confidence: 99%
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