Get OR and 95% CI from multilevel logistic regression

Hi all,
I run the model below and get coefficient, please advise how to get OR and 95%CI after that.
m2.1 <- glmer(catntotal_mean ~ SMV_3 + (1 | PID),
data = data1,
family = binomial(link="logit"),
control = glmerControl(optimizer = "bobyqa"),
nAGQ = 0)

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