根据种族、性别、血清肌酐、年龄计算eGFR
创建一个含变量race、sex、Scr（单位μmol/L）、age（年）的df
df = pd.DataFrame({ 'race': ['black', 'black', 'black', 'black', 'white', 'white', 'white', 'white'],
'sex': ['female', 'female', 'male', 'male', 'female', 'female', 'male', 'male'],
'Scr': [50, 70, 75, 90, 40, 65, 80, 85],
'age': [45, 50, 60, 55, 42, 47, 58, 51] })
# df为：
race sex Scr age
0 black female 50 45
1 black female 70 50
2 black male 75 60
3 black male 90 55
4 white female 40 42
5 white female 65 47
6 white male 80 58
7 white male 85 51自定义根据种族、性别、血清肌酐、年龄来计算eGFR的函数
def eGFR(i):
if i["race"]=="black":
if i["sex"] =="female":
if i["Scr"]<=62:
return 166*(i["Scr"]/88.4/0.7)**(-0.329)*0.993**i["age"]
else:
return 166*(i["Scr"]/88.4/0.7)**(-1.209)*0.993**i["age"]
else:
if i["Scr"]<=80:
return 163*(i["Scr"]/88.4/0.9)**(-0.411)*0.993**i["age"]
else:
return 163*(i["Scr"]/88.4/0.9)**(-1.209)*0.993**i["age"]
else:
if i["sex"] =="female":
if i["Scr"]<=62:
return 144*(i["Scr"]/88.4/0.7)**(-0.329)*0.993**i["age"]
else:
return 144*(i["Scr"]/88.4/0.7)**(-1.209)*0.993**i["age"]
else:
if i["Scr"]<=80:
return 141*(i["Scr"]/88.4/0.9)**(-0.411)*0.993**i["age"]
else:
return 141*(i["Scr"]/88.4/0.9)**(-1.209)*0.993**i["age"]计算eGFR
df['eGFR'] = df.apply(eGFR,axis=1)
# df为：
race sex Scr age eGFR
0 black female 50 45 129.802540
1 black female 70 50 100.654061
2 black male 75 60 109.566525
3 black male 90 55 95.423878
4 white female 40 42 123.757989
5 white female 65 47 97.532474
6 white male 80 58 93.603286
7 white male 85 51 90.971067参考文献
Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604-612. doi:10.7326/0003-4819-150-9-200905050-00006