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Conversion Of Clinically Isolated Syndrome And Logistic Regression Analysis Of Its Influencing Factors

Posted on:2023-04-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y F ZhaoFull Text:PDF
GTID:2544306794461604Subject:Neurology
Abstract/Summary:PDF Full Text Request
Objective:To investigate the conversion rate of patients from clinically isolated syndrome(CIS)to multiple sclerosis(MS)and recurrence rate of patients with CIS,and explore the correlated factors.Methods:To retrospectively analyze the medical records of 90 patients diagnosed with clinical isolation syndrome in the First Hospital of Shanxi Medical University from December2013 to August 2020.To observe the current clinical outcomes.The conversion rates from CIS to MS and recurrence rate of patients with CIS were calculated and multifactor Logistic regression analysis was used to explore the influencing factors of multiple sclerosis and clinical recurrence in patients with clinical isolation syndrome.Results:Of the 90 subjects(age range 12–68 years),12(13.3%)patients converted to MS,4(4.4%)patients to definite NMOSD,5(5.6%)patients had second clinical attack with no progression to MS or NMOSD and 69(76.7%)patients remained as CIS.A total of21(23.3%)patients had second clinical attack.Factors correlated with conversion from CIS to MS were positive CSF-OB and asymmetric symptoms.The logistic regression analysis revealed that factors correlated with had second clinical attack were positive CSF-OB(OR=3.599),asymmetric symptoms(OR=10.147),positive autoimmune antibody(OR=7.942).Conclusion:In this retrospective study of CIS in China,the risk factors for conversion are similar but the conversion rate to MS is lower than that in the western nations.Factors correlated with the conversion from CIS to MS are positive CSF-OB and asymmetric symptoms,factors correlated with had second clinical attack are positive CSF-OB,asymmetric symptoms and positive autoimmune antibody.
Keywords/Search Tags:Clinically isolated syndrome, Multiple sclerosis, Neuromyelitis optica spectrum disorders, Prognosis
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