Li et al reported a model for predicting trichomonas vaginitis in a Chinese woman. The authors are from Shanxi Medical University in Taiyuan, China.
Patient selection: woman in China
Parameters:
(1) age of the patient
(2) occupation
(3) yearly income in yuan
(4) tea drinking
(5) bathing frequency in times per week
(6) menopause
(7) spontaneous abortion
(8) use of contraceptives
(9) history of gynecological surgery
(10) HPV infection
|
Parameters |
Findings |
Points |
|
age of the patient |
18 to 30 years |
0 |
|
|
31 to 40 years |
29.8 |
|
|
41 to 50 years |
25.5 |
|
|
51 to 60 years |
77.5 |
|
|
> 60 years |
100 |
|
occupation |
farmer |
9.4 |
|
|
other |
0 |
|
yearly income |
<= 10,000 |
16 |
|
|
10,001 to 30,000 |
0 |
|
|
> 30,000 |
9.6 |
|
tea drinking |
no |
0 |
|
|
yes |
30.5 |
|
bathing frequency |
<= 1 time per week |
0 |
|
|
> 1 to 7 times per week |
19.2 |
|
|
> 7 times per week |
74.6 |
|
menopause |
no |
0 |
|
|
yes |
27.1 |
|
spontaneous abortion |
no |
0 |
|
|
yes |
37.9 |
|
use of contraceptives |
no |
0 |
|
|
yes |
39.6 |
|
history of GYN surgery |
no |
0 |
|
|
yes |
46.6 |
|
history of HPV |
no |
0 |
|
|
yes |
34.3 |
where:
• Not all of the conditions can affect the patient, such as being menopausal and needing contraceptives.
total score =
= SUM(points for all of the parameters)
Interpretation:
• minimum score: 0
• maximum score: around 376
value of X =
= (0.01595 * (score)) - 3.466
probability of Trichomonas vaginitis =
= 1 / (1 + EXP((-1) * X))
Performance:
• The area under the ROC curve i s0.73.
Specialty: Infectious Diseases
