Abstract
Introduction: Urinary tract infections (UTIs) have been proven to be the most encountered bacterial infection in humans. We hope to establish a prediction model for significant bacteriuria by comprehensively analyzing the relevant parameters of age, gender, and urine automatic analysis data. Methods: A retrospective study was performed at Tai’an Central Hospital. All samples included in the study were tested for urine culture and urine automatic analysis. Data analysis was conducted with the SPSS. Results: The binary logistic regression module is used to establish the forecast formula, which gender, age, leukocyte count, bacterial count, leukocyte esterase, and nitrite were included. Receiver operating characteristic (ROC) curves showed that the area under ROC curve (AUC) of the prediction model was 0.878, bigger than the AUCs of the other 6 independent variables. The sensitivity and specificity of prediction model were 61.68 and 95.98%, respectively. The positive and the negative predictive values of the predictive model are 87.13 and 85.02%, respectively. Conclusions: The prediction formula obtained in our study can achieve good prediction effect for significant bacteriuria, which can effectively avoid the treatment delay or antibiotic abuse caused by the subjective judgment of doctors.
References
1.
Schappert
SM
, Rechtsteiner
EA
. Ambulatory medical care utilization estimates for 2007
. Vital Health Stat 13
. 2011
;13169
(169
):1
–38
.2.
Foudraine
DE
, Bauer
MP
, Russcher
A
, Kusters
E
, Cobbaert
CM
, van der Beek
MT
, Use of Automated urine microscopy analysis in clinical diagnosis of urinary tract infection: defining an optimal diagnostic score in an academic medical center population
. J Clin Microbiol
. 2018
;56
(6
):e02030
–17
. .3.
Dos Santos
JC
, Weber
LP
, Perez
LR
. Evaluation of urinalysis parameters to predict urinary-tract infection
. Braz J Infect Dis
. 2007
;11
:479
–81
.4.
Russcher
A
, Kusters
E
, Wolterbeek
R
, Kuijper
EJ
, Cobbaert
CM
, van der Beek
MT
. Interlaboratory collaboration for optimized screening for urinary tract infection
. J Clin Microbiol
. 2016
;54
(1
):93
–8
. .5.
Hooton
TM
. Clinical practice. Uncomplicated urinary tract infection
. N Engl J Med
. 2012
;366
(11
):1028
–37
. .6.
Shang
YJ
, Wang
QQ
, Zhang
JR
, Xu
YL
, Zhang
WW
, Chen
Y
, Systematic review and meta-analysis of flow cytometry in urinary tract infection screening
. Clin Chim Acta
. 2013
;424
:90
–5
. .7.
Erdman
P
, Anderson
B
, Zacko
JC
, Taylor
K
, Donaldson
K
. The accuracy of the sysmex UF-1000i in urine bacterial detection compared with the standard urine analysis and culture
. Arch Pathol Lab Med
. 2017
;141
(11
):1540
–3
. .8.
Dos Santos
JC
, Weber
LP
, Perez
LR
. Evaluation of urinalysis parameters to predict urinary-tract infection
. Braz J Infect Dis
. 2007
;11
:479
–81
.9.
Schmiemann
G
, Kniehl
E
, Gebhardt
K
, Matejczyk
MM
, Hummers-Pradier
E
. The diagnosis of urinary tract infection: a systematic review
. Dtsch Arztebl Int
. 2010
;107
(21
):361
–7
. .10.
Stapleton
AE
, Cox
ME
, DiNello
RK
, Geisberg
M
, Abbott
A
, Roberts
PL
, Performance of a new rapid immunoassay test kit for point-of-care diagnosis of significant bacteriuria
. J Clin Microbiol
. 2015
;53
(9
):2805
–9
. .11.
Gutiérrez-Fernández
J
, Lara
A
, Bautista
MF
, de Dios Luna
J
, Polo
P
, Miranda
C
, Performance of the Sysmex UF1000i system in screening for significant bacteriuria before quantitative culture of aerobic/facultative fast-growth bacteria in a reference hospital
. J Appl Microbiol
. 2012
;13
:1
–6
.12.
Stamm
WE
, Counts
GW
, Running
KR
, Fihn
S
, Turck
M
, Holmes
KK
, Diagnosis of coliform infection in acutely dysuric women
. N Engl J Med
. 1983
;309
:1393
–4
.13.
Eisenhardt
A
, Schneider
K
, Hirche
H
, Lax
H
, Hadaschik
B
, Rehme
C
, Diagnosis and empirical treatment of urinary tract infections in urologic outpatients
. Urol Int
. 2020
;104
(7–8
):617
–24
. .14.
Nan
W
, Li-hong
W
, Xia
Z
, Jing-li
Z
, Hui-jie
Z
, Wen-hu
M
, Establishment and validation of risk prediction scoring model for catheter-associated urinary tract infection in elderly patients
. Chin J Infect Control
. 2018
;17
:907
–12
.15.
Magill
SS
, Hellinger
W
, Cohen
J
, Kay
R
, Bailey
C
, Boland
B
, Prevalence of healthcare-associated infections in acute care hospitals in Jacksonville, Florida
. Infect Control Hosp Epidemiol
. 2012
;33
(3
):283
–91
. .16.
McLellan
LK
, Hunstad
DA
. Urinary tract infection: pathogenesis and outlook
. Trends Mol Med
. 2016
;22
(11
):946
–57
. .17.
Moshaver
B
, de Boer
F
, van Egmond-Kreileman
H
, Kramer
E
, Stegeman
C
, Groeneveld
P
. Fast and accurate prediction of positive and negative urine cultures by flow cytometry
. BMC Infect Dis
. 2016
;16
:211
–6
. .18.
Tandan
M
, Duane
S
, Cormican
M
, Murphy
AW
, Vellinga
A
. Reconsultation and antimicrobial treatment of urinary tract infection in male and female patients in general practice
. Antibiotics
. 2016
;5
(3
):31
–7
. .19.
Olson
PD
, Hruska
KA
, Hunstad
DA
. Androgens enhance male urinary tract infection severity in a new model
. J Am Soc Nephrol
. 2016
;27
(6
):1625
–34
. .20.
Juliana Conrad dos Santos; Liliana Portal Weber; Leandro Reus Rodrigues Perez
. Evaluation of urinalysis parameters to predict urinary-tract infection
. Braz J Infect Dis
. 2007
;11
(5
):479
–81
.21.
Erdman
P
, Anderson
B
, Zacko
JC
, Taylor
K
, Donaldson
K
. The accuracy of the sysmex UF-1000i in urine bacterial detection compared with the standard urine analysis and culture
. Arch Pathol Lab Med
. 2017
;141
(11
):1540
–3
. .22.
Xiaobo
T
, Shan
YU
, Jing
J
, Xin xin
L
. Diagnostic value of random urinary sediment detection in community-acquired urinary tract infection
. Int J Lab Med
. 2019
;40
:2841
–4
.23.
Tsai
SW
, Kung
FT
, Chuang
FC
, Ou
YC
, Wu
CJ
, Huang
KH
. Evaluation of the relationship between urodynamic examination and urinary tract infection based on urinalysis results
. Taiwan J Obstet Gynecol
. 2013
;52
(4
):493
–7
. .24.
Young
JL
, Soper
DE
. Urinalysis and urinary tract infection: update for clinicians
. Infect Dis Obstet Gynecol
. 2001
;9
(4
):249
–55
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