Factors predicting incomplete recovery from relapses in multiple sclerosis: A prospective study

Maurizio A. Leone, S. Bonissoni, L. Collimedaglia, F. Tesser, S. Calzoni, A. Stecco, P. Naldi, F. Monaco

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Objective: To prospectively evaluate predictors of incomplete recovery after the first attacks in a cohort of patients with clinically isolated syndrome or relapsing-remitting multiple sclerosis. Methods: Seventy-two consecutive patients recruited from January 2001 to December 2003, evaluated every six months or at any relapse up to 31 July 2005. Relapse intervals were calculated from the date of onset, nadir, onset of improvement and maximum improvement. Predictive factors analysed were relapse-related (age at relapse onset, season and severity of the relapse, type of symptoms, speed of onset, plateau and total duration, number of affected Functional systems, preceding infections) and individual-related (gender, age at first attack, season of birth and first attack, characteristics of first brain MRI and cerebrospinal fluid oligoclonal bands, Link Index, IgG). Results: We counted 209 attacks: 44 (21%) left mild sequelae, and 27 (13%) severe. The highest probability of sequelae was associated with sphincteric symptoms (9/20; 45%), followed by sensitive (38/113; 34%), motor (20/84; 24%), visual (13/61; 21%), cerebellar (4/24; 17%), brainstem (5/44; 11%) and others (0/6) (P <0.005). Four variables were still relevant to predict sequelae after multivariate analysis: mild, moderate or severe relapses versus very mild (Odds ratio = 17.2, 95% confidence limits = 2.2-136.4), intermediate or long relapses versus short (3.2, 1.5-6.9), age ≥ 30 at relapse onset (2.9, 1.5-5.7) and bi-polysymptomatic versus monosymptomatic (2.2, 1.1-4.3). Conclusions: Factors predicting incomplete recovery are more closely linked to the characteristics of the single relapse (extension and duration of tissue damage) than to the patient's genetic and environmental background.

Original languageEnglish
Pages (from-to)485-493
Number of pages9
JournalMultiple Sclerosis Journal
Volume14
Issue number4
DOIs
Publication statusPublished - May 2008

Fingerprint

Multiple Sclerosis
Prospective Studies
Recurrence
Oligoclonal Bands
Relapsing-Remitting Multiple Sclerosis
Birth Order
Age of Onset
Brain Stem
Cerebrospinal Fluid
Multivariate Analysis
Immunoglobulin G
Odds Ratio
Brain
Infection

Keywords

  • Multiple sclerosis
  • Prognosis
  • Recovery
  • Relapse

ASJC Scopus subject areas

  • Clinical Neurology

Cite this

Leone, M. A., Bonissoni, S., Collimedaglia, L., Tesser, F., Calzoni, S., Stecco, A., ... Monaco, F. (2008). Factors predicting incomplete recovery from relapses in multiple sclerosis: A prospective study. Multiple Sclerosis Journal, 14(4), 485-493. https://doi.org/10.1177/1352458507084650

Factors predicting incomplete recovery from relapses in multiple sclerosis : A prospective study. / Leone, Maurizio A.; Bonissoni, S.; Collimedaglia, L.; Tesser, F.; Calzoni, S.; Stecco, A.; Naldi, P.; Monaco, F.

In: Multiple Sclerosis Journal, Vol. 14, No. 4, 05.2008, p. 485-493.

Research output: Contribution to journalArticle

Leone, MA, Bonissoni, S, Collimedaglia, L, Tesser, F, Calzoni, S, Stecco, A, Naldi, P & Monaco, F 2008, 'Factors predicting incomplete recovery from relapses in multiple sclerosis: A prospective study', Multiple Sclerosis Journal, vol. 14, no. 4, pp. 485-493. https://doi.org/10.1177/1352458507084650
Leone, Maurizio A. ; Bonissoni, S. ; Collimedaglia, L. ; Tesser, F. ; Calzoni, S. ; Stecco, A. ; Naldi, P. ; Monaco, F. / Factors predicting incomplete recovery from relapses in multiple sclerosis : A prospective study. In: Multiple Sclerosis Journal. 2008 ; Vol. 14, No. 4. pp. 485-493.
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AU - Leone, Maurizio A.

AU - Bonissoni, S.

AU - Collimedaglia, L.

AU - Tesser, F.

AU - Calzoni, S.

AU - Stecco, A.

AU - Naldi, P.

AU - Monaco, F.

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N2 - Objective: To prospectively evaluate predictors of incomplete recovery after the first attacks in a cohort of patients with clinically isolated syndrome or relapsing-remitting multiple sclerosis. Methods: Seventy-two consecutive patients recruited from January 2001 to December 2003, evaluated every six months or at any relapse up to 31 July 2005. Relapse intervals were calculated from the date of onset, nadir, onset of improvement and maximum improvement. Predictive factors analysed were relapse-related (age at relapse onset, season and severity of the relapse, type of symptoms, speed of onset, plateau and total duration, number of affected Functional systems, preceding infections) and individual-related (gender, age at first attack, season of birth and first attack, characteristics of first brain MRI and cerebrospinal fluid oligoclonal bands, Link Index, IgG). Results: We counted 209 attacks: 44 (21%) left mild sequelae, and 27 (13%) severe. The highest probability of sequelae was associated with sphincteric symptoms (9/20; 45%), followed by sensitive (38/113; 34%), motor (20/84; 24%), visual (13/61; 21%), cerebellar (4/24; 17%), brainstem (5/44; 11%) and others (0/6) (P <0.005). Four variables were still relevant to predict sequelae after multivariate analysis: mild, moderate or severe relapses versus very mild (Odds ratio = 17.2, 95% confidence limits = 2.2-136.4), intermediate or long relapses versus short (3.2, 1.5-6.9), age ≥ 30 at relapse onset (2.9, 1.5-5.7) and bi-polysymptomatic versus monosymptomatic (2.2, 1.1-4.3). Conclusions: Factors predicting incomplete recovery are more closely linked to the characteristics of the single relapse (extension and duration of tissue damage) than to the patient's genetic and environmental background.

AB - Objective: To prospectively evaluate predictors of incomplete recovery after the first attacks in a cohort of patients with clinically isolated syndrome or relapsing-remitting multiple sclerosis. Methods: Seventy-two consecutive patients recruited from January 2001 to December 2003, evaluated every six months or at any relapse up to 31 July 2005. Relapse intervals were calculated from the date of onset, nadir, onset of improvement and maximum improvement. Predictive factors analysed were relapse-related (age at relapse onset, season and severity of the relapse, type of symptoms, speed of onset, plateau and total duration, number of affected Functional systems, preceding infections) and individual-related (gender, age at first attack, season of birth and first attack, characteristics of first brain MRI and cerebrospinal fluid oligoclonal bands, Link Index, IgG). Results: We counted 209 attacks: 44 (21%) left mild sequelae, and 27 (13%) severe. The highest probability of sequelae was associated with sphincteric symptoms (9/20; 45%), followed by sensitive (38/113; 34%), motor (20/84; 24%), visual (13/61; 21%), cerebellar (4/24; 17%), brainstem (5/44; 11%) and others (0/6) (P <0.005). Four variables were still relevant to predict sequelae after multivariate analysis: mild, moderate or severe relapses versus very mild (Odds ratio = 17.2, 95% confidence limits = 2.2-136.4), intermediate or long relapses versus short (3.2, 1.5-6.9), age ≥ 30 at relapse onset (2.9, 1.5-5.7) and bi-polysymptomatic versus monosymptomatic (2.2, 1.1-4.3). Conclusions: Factors predicting incomplete recovery are more closely linked to the characteristics of the single relapse (extension and duration of tissue damage) than to the patient's genetic and environmental background.

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KW - Prognosis

KW - Recovery

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