Shaikh et al developed several algorithms for identifying young children with urinary tract infections (UTI). A verbal child more than 24 months of age who may have a urinary tract infection can be identified based on clinical and laboratory findings. The authors are from the University of Pittsburgh, Ohio State University, Duquesne University and the University of Wisconsin.
Parameters:
(1) gender group
(2) number of clinical findings for urinary tract infection
(3) results of urinalysis (nitrite and leukocyte esterase on dipstick testing)
Gender |
Group |
female or uncircumcised male |
1 |
circumcised male |
2 |
Clinical findings for a UTI include:
(1) dysuria
(2) frequency
(3) abdominal pain
(4) back pain
(5) new onset of incontinence
Gender Group |
Number of Risk Factors |
Urinalysis |
Probability of UTI |
1 |
0 |
NA |
unlikely |
1 |
>=1 |
neither positive |
4-8% |
1 |
>=1 |
one positive |
60-70% |
1 |
>=1 |
both positive |
86-92% |
2 |
0 or 1 |
NA |
very low |
2 |
>=2 |
neither positive |
low |
2 |
>=2 |
one positive |
moderate |
2 |
>=2 |
both positive |
high |
Specialty: Infectious Diseases, Urology
ICD-10: ,