Iterate through columns pandas dataframe and create another column based on a condition

import pandas as pd

ids1 = [1, 2, 3, 4]
ids2 = ['A', 'B', 'C', 'D']
esc1 = [1, 0, 0, 0]
esc2 = [0, 1, 0, 2]
esc3 = [0, 0, 3, 0]

data = {'ID1': ids1,
    'ID2': ids2,
    'escto1': esc1,
    'escto2': esc2,
    'escto3': esc3}
df = pd.DataFrame(data)
print("Original data:")
print(df)

print("With additional column:")
df['helper'] =  df.filter(like='escto').gt(0).any(1).astype(int)
print(df)

Original data:
   ID1 ID2  escto1  escto2  escto3
0    1   A       1       0       0
1    2   B       0       1       0
2    3   C       0       0       3
3    4   D       0       2       0
With additional column:
   ID1 ID2  escto1  escto2  escto3  helper
0    1   A       1       0       0       1
1    2   B       0       1       0       1
2    3   C       0       0       3       1
3    4   D       0       2       0       1