Bhargava et al reported a predictive model for urinary tract infection for urban dwelling adults. The authors are from multiple institutions in India and J-Class Solutions Inc in Danbury, Connecticut.
Parameters from multivariate analysis:
(1) sex
(2) number of times urinating from morning until night
(3) strong desire to urinary that is difficult to hold (urgency)
(4) weakness of urinary stream
(5) splitting or spraying of urinary stream
(6) fever (temperature not specified)
Parameter
Finding
Unadjusted Odds Ratio
Beta Coefficient
sex
male
1
0
female
2.7
0.99
urination during day
<= 7 times
1
0
8 to 14 times
2.5
0.91
>= 15 times
0.04
-3.22
urgency
no
1
0
rarely
0.9
-0.11
often
3.6
1.28
weakness of stream
no
1
0
rarely
0.9
-0.11
often
5.7
1.74
splitting or spraying
no
1
0
rarely
4.5
1.5
often
1.2
0.18
fever
no
1
0
yes
3.4
1.22
where:
• "Sometimes" may be preferrable to "rarely".
Interpretation:
• The constant for the logistic regression model was not provided.
• The product of the odds ratios will be used as a measure of risk.
Performance:
• The area under the ROC cures was 0.79.
To read more or access our algorithms and calculators, please log in or register.
