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. 2021 Aug 2;8(5):e1046. doi: 10.1212/NXI.0000000000001046

Figure 1. Univariate and Multivariate Regressions of Clinical Characteristics for the Risk of Hospitalization.

Figure 1

Univariate and multivariate logistic regression analyses were performed on patient characteristics before COVID-19 infection based on risk for hospitalization (n = 66 for nonhospitalized and n = 25 for hospitalized). (A) Univariate logistic regression was performed on patient characteristics. ORs with 95% CIs are listed in the table to the left. Significant correlations are indicated by bold font and *. Age, disability, employment, number of non-neuroimmunologic comorbidities, hypertension, cardiovascular disease, progressive MS, and higher disability scores (EDSS and 25FTW) were predictive of hospitalization, whereas part-time or full-time employment predicted nonhospitalization. (B) Stepwise multivariate logistic regression utilizing Akaike information criteria was performed using significant hospitalization risk factors in univariate analysis. Only significant independent risk factors for hospitalization are listed in the table (left) and figure (right). Older age, a higher number of non-neuroimmunologic comorbidities, and a longer 25FTW were found to be independent risk factors for hospitalization. 25FTW = Timed 25-Foot Walk; BMI = body mass index; COVID-19 = coronavirus disease 2019; DMT = disease-modifying therapy; EDSS = Expanded Disability Status Scale; PPMS = primary progressive MS; RRMS = relapsing-remitting MS; SPMS = secondary progressive MS.