Figure 3.
OR for prediction of late remission in a logistic regression model. Graphical representation of the OR for predictors of late remission. Age, sex, 6- and 12-month platelet counts, and IV immunoglobulin or anti-D immunoglobulin use at 6 and 12 months were selected as potential predictors. Platelet count is log transformed. High 6-month platelet count and low use of IV immunoglobulin (or anti-D immunoglobulin) at 12 months shows a trend to predict late remission. Triangles represent the OR (log-scale), and light blue lines depict the 95% confidence interval of the OR. For continuous variables, the OR demonstrates the increase from the 25th to the 75th quantile. 6m, 6-month FU; 12m, 12-month FU; CI, confidence interval; iv.ad, IV immunoglobulin.

OR for prediction of late remission in a logistic regression model. Graphical representation of the OR for predictors of late remission. Age, sex, 6- and 12-month platelet counts, and IV immunoglobulin or anti-D immunoglobulin use at 6 and 12 months were selected as potential predictors. Platelet count is log transformed. High 6-month platelet count and low use of IV immunoglobulin (or anti-D immunoglobulin) at 12 months shows a trend to predict late remission. Triangles represent the OR (log-scale), and light blue lines depict the 95% confidence interval of the OR. For continuous variables, the OR demonstrates the increase from the 25th to the 75th quantile. 6m, 6-month FU; 12m, 12-month FU; CI, confidence interval; iv.ad, IV immunoglobulin.

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