How do I test for a condition across a range of columns in R

I am trying to test for a condition across a range of columns. The data looks something like this

      Name DPD_1 DPD_2 DPD_3 Default_flag
 1:    A    46    63   138         TRUE
 2:    B    12    82    33        FALSE
 3:    C    95    71    55         TRUE
 4:    D    57   133   116         TRUE
 5:    E    48    27   137         TRUE

in the code I need to test if any of DPD_1, DPD_2 or DPD_3 are greater than 90, in which case the Default_flag gets set to TRUE.

The code I am using for this is given below

df1 <- data.table(Name = LETTERS[1:10],DPD_1 = sample(1:100,10),DPD_2 = sample(1:200,10),DPD_3 = sample(1:200,10) )
df1[,Default_flag := ifelse((DPD_1>=90 | DPD_2>=90 | DPD_3>=90 ),TRUE,FALSE)]

Now the problem is with some datasets I need to increase the DPD checks from DPD_1 to say DPD_24 (checking for 24 columns, instead of just 3 in the current example). Is there anyway i can avoid specifying each DPDnumber in the ifelse statement. I am happy to lose the ifelse statement and if some version of apply can work, i would be happy to use that too.