Predictors of becoming overweight among pediatric patients at risk for urinary tract infections

2019 ◽  
Vol 15 (1) ◽  
pp. 61.e1-61.e6
Author(s):  
T.W. Gaither ◽  
C.S. Cooper ◽  
Z. Kornberg ◽  
L.S. Baskin ◽  
H.L. Copp
Keyword(s):  
At Risk ◽  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Pediatric Patients ◽  
Patients At Risk ◽  
Tract Infections

scholarly journals Aztreonam in the treatment of severe urinary tract infections in pediatric patients.

1986 ◽  
Vol 30 (2) ◽  
pp. 310-314 ◽  
Author(s):  
F Rusconi ◽  
B M Assael ◽  
A Boccazzi ◽  
R Colombo ◽  
R M Crossignani ◽  
...  
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Pediatric Patients ◽  
Tract Infections

scholarly journals Increased fluid intake to prevent urinary tract infections: systematic review and meta-analysis

2020 ◽  
Vol 70 (692) ◽  
pp. e200-e207 ◽  
Author(s):  
Anna Mae Scott ◽  
Justin Clark ◽  
Chris Del Mar ◽  
Paul Glasziou
Keyword(s):  
Systematic Review ◽  
At Risk ◽  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Primary Outcome ◽  
Fluid Intake ◽  
Risk Of Bias ◽  
Antimicrobial Use ◽  
Recurrent Utis ◽  
Tract Infections

BackgroundApproximately 15% of community-prescribed antibiotics are used in treating urinary tract infections (UTIs). Increase in antibiotic resistance necessitates considering alternatives.AimTo assess the impact of increased fluid intake in individuals at risk for UTIs, for impact on UTI recurrence (primary outcome), antimicrobial use, and UTI symptoms (secondary outcomes).Design and settingA systematic review.MethodThe authors searched PubMed, Cochrane CENTRAL, EMBASE, two trial registries, and conducted forward and backward citation searches of included studies in January 2019. Randomised controlled trials of individuals at risk for UTIs were included; comparisons with antimicrobials were excluded. Different time-points (≤6 months and 12 months) were compared for the primary outcome. Risk of bias was assessed using Cochrane Risk of Bias tool. Meta-analyses were undertaken where ≥3 studies reported the same outcome.ResultsEight studies were included; seven were meta-analysed. There was a statistically non-significant reduction in the number of patients with any UTI recurrence in the increased fluid intake group compared with control after 12 months (odds ratio [OR] 0.39, 95% confidence interval [CI] = 0.15 to 1.03, P = 0.06); reduction was significant at ≤6 months (OR 0.13, 95% CI = 0.07 to 0.25, P<0.001). Excluding studies with low volume of fluid (<200 ml) significantly favoured increased fluid intake (OR 0.25, 95% CI = 0.11 to 0.59, P = 0.001). Increased fluid intake reduced the overall rate of all recurrent UTIs (rate ratio [RR] 0.46, 95% CI = 0.40 to 0.54, P<0.001); there was no difference in antimicrobial use (OR 0.52, 95% CI = 0.25 to 1.07, P = 0.08). Paucity of data precluded meta-analysing symptoms.ConclusionGiven the minimal potential for harm, patients with recurrent UTIs could be advised to drink more fluids to reduce recurrent UTIs. Further research is warranted to establish the optimal volume and type of increased fluid.

Cranberry Products for the Prophylaxis of Urinary Tract Infections in Pediatric Patients

2015 ◽  
Vol 49 (12) ◽  
pp. 1349-1356 ◽  
Author(s):  
Spencer H. Durham ◽  
Pamela L. Stamm ◽  
Lea S. Eiland
Keyword(s):  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Pediatric Patients ◽  
Tract Infections

scholarly journals Genetic Risk for Recurrent Urinary Tract Infections in Humans: A Systematic Review

2010 ◽  
Vol 2010 ◽  
pp. 1-9 ◽  
Author(s):  
M. Zaffanello ◽  
G. Malerba ◽  
L. Cataldi ◽  
F. Antoniazzi ◽  
M. Franchini ◽  
...  
Keyword(s):  
Systematic Review ◽  
At Risk ◽  
Urinary Tract ◽  
Candidate Genes ◽  
Recurrence Rate ◽  
Urinary Tract Infections ◽  
Genetic Risk ◽  
Host Response ◽  
Recurrent Uti ◽  
Tract Infections

Urinary tract infections (UTIs) are a frequent cause of morbidity in children and adults and affect up to 10% of children; its recurrence rate is estimated at 30–40%. UTI may occur in up to 50% of all women in their lifetimes and frequently require medication. Recent advances have suggested that a deregulation of candidate genes in humans may predispose patients to recurrent UTI. The identification of a genetic component of UTI recurrences will make it possible to diagnose at-risk adults and to predict genetic recurrences in their offspring. Six out of 14 genes investigated in humans may be associated with susceptibility to recurrent UTI in humans. In particular, the HSPA1B, CXCR1 & 2, TLR2, TLR4, TGF-1 genes seem to be associated with an alteration of the host response to UTIs at various levels.

scholarly journals Cut-off Values of Bacteriuria and Leukocyturia for the Diagnosis of Urinary Tract Infections in Pediatric Patients

2020 ◽  
Vol 27 (1) ◽  
Author(s):  
Muhamad Ramdani Ibnu Taufik ◽  
Dian Ariningrum ◽  
Yusuf Ari Mashuri
Keyword(s):  
Urinary Tract ◽  
Positive Predictive Value ◽  
Negative Predictive Value ◽  
Likelihood Ratio ◽  
Urinary Tract Infections ◽  
Predictive Value ◽  
Pediatric Patients ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Tract Infections

The diagnosis of Urinary Tract Infection (UTI) in infants and children is often missed. There have been no studies ondiagnostic tests using automated urine analyzer in pediatric patients. This study aimed to determine the cut-off values ofbacteriuria and leukocyturia using the automated urine analyzer Sysmex UX-2000 to diagnose UTI with the gold standard ofautomated urine culture using VITEK 2 in pediatric patients at Dr. Moewardi Hospital, Surakarta. An observational analyticalstudy with the cross-sectional design was during August-October 2019 at the Clinical Pathology Laboratory and ClinicalMicrobiology Laboratory of Moewardi Hospital, Surakarta. Eighty-four patients sample were collected. This study'sdependent variable was the diagnosis of urinary tract infections in pediatric patients established with positive culture results(bacterial count of ≥ 105 CFU/mL urine). This study's independent variables were the number of urine bacteria (BACT) andthe number of urine leukocytes (WBC) from urinalysis using the Sysmex UX-2000 automated urine analyzer. A diagnostictest was used for data analysis. The best cut-off value for leukocyturia was 37 cells/μL with a 61.1% sensitivity, 63.6%specificity, a positive predictive value of 31.4%; a negative predictive value of 85.7; positive likelihood ratio of 1.64; negativelikelihood ratio of 0.595, and accuracy of 63%. The best cut-off for the number of bacteria was 143 cells/μL with a sensitivityof 66.7%; specificity of 71.2%, the positive predictive value of 38.7%, the negative predictive value of 88.7%; positivelikelihood ratio of 2.14; negative likelihood ratio of 0.432 and an accuracy of 70.2%. A cut-off of 37 cells/μL for leukocyturiaand 143 cells/μL for bacteriuria using an automated urine analyzer can be used for UTI screening in pediatric patients.

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