Imaging studies and biomarkers to detect clinically meaningful vesicoureteral reflux

Predictors of Urinary Abnormalities in Children Hospitalised for Their First Urinary Tract Infection

We aimed to investigate if children with their first UTI and a concomitant positive blood culture have a higher risk of abnormalities. We performed a retrospective study of children younger than 18 years of age with their first UTI. Multivariate logistic regression and receiver operating characteristic (ROC) curves were used to evaluate if positive blood cultures are associated with urinary abnormalities. After the screening process, we considered the enrolled 161 children with UTIs. The median age was three months, and 83 were females (43.2%). In multivariate analysis, age (p = 0.001, 95% CI 1.005-1.020), the presence of Pseudomonas aeruginosa or unusual germs in urine cultures (p = 0.002, 95% CI 2.18-30.36) and the positivity of blood cultures (p = 0.001, 95% CI 2.23-18.98) were significantly associated with urinary abnormalities. A model based on these parameters has an AUC of 0.7168 to predict urinary malformations (p = 0.0315). Conclusions include how greater age, a positive blood culture and the presence of Pseudomonas aeruginosa or unusual germs in urine culture in children hospitalised for their first episode of a UTI are factors associated with a significantly higher risk of urinary abnormalities. These data can guide the implementation of more personalized strategies to screen for urinary abnormalities that may be included in future guidelines.

Comparison of diagnostic accuracy of models combining the renal biomarkers in predicting renal scarring in pediatric population with vesicoureteral reflux (VUR)

INTRODUCTION

Renal scarring is prominently observed in children with vesicoureteral reflux (VUR) and can lead to complicated renal outcomes. Although biopsy is the gold standard to detect renal scarring, it is an invasive procedure. There are established renal biomarkers which can help detect renal scarring. Individual biomarkers have not shown to have extensively good discriminatory ability for this.

AIM

This paper aims at combining the values of multiple biomarkers in models to detect renal scarring.

METHODOLOGY

Secondary data with the values of renal biomarkers like kidney injury molecule-1, neutrophil gelatinase-associated lipocalin (NGAL), and urinary creatinine along with the renal scarring status was considered. Logistic regression, discriminant analysis, Bayesian logistic regression, Naïve Bayes, and decision tree models were developed with these markers. The discriminatory ability of individual biomarkers along with the models was assessed using the area under the curve from ROC curve. Sensitivity, specificity, and misclassification rates were estimated and compared.

RESULTS

NGAL was the most predominant renal biomarker in classifying the patients with renal scarring (AUC: 0.77 (0.67, 0.87); p value < 0.001). Each of the model performed better than individual biomarkers. Decision tree (AUC: 0.83 (0.74, 0.91); p value < 0.001) and Naïve Bayes model (misclassification rate = 20.2%) performed the best amongst the models.

CONCLUSION

Combining the values of renal biomarkers through a statistical or machine learning model to detect renal scarring is a better approach as compared to considering individual renal biomarkers.

Utility of urinary biomarkers neutrophil gelatinase-associated lipocalin and kidney injury molecule-1 as a marker for diagnosing the presence of renal scar in children with vesicoureteral reflux (VUR): A cross-sectional study

Aim:

To explore the possibility of using urinary biomarkers neutrophil gelatinase-associated lipocalin (NGAL) and kidney injury molecule-1 (KIM-1) to assess the presence of renal scars in children with Vesicoureteric Reflux (VUR).

Materials and Methods:

This cross-sectional study was conducted in 94 children aged 0–16 years diagnosed with VUR in the Department of Pediatric Surgery, JIPMER. Urinary biomarkers were measured using the enzyme-linked immunosorbent assay kits, normalized with urinary creatinine (Cr) and compared with severity of VUR (low grade [I and II] and high grade [III, IV, and V]), presence or absence of renal scar in VUR patients and severity of renal scar. Independent Student's t-test, Mann–Whitney U-test, and analysis of variance Kruskal–Wallis test were used for comparison, and receiver operating characteristic (ROC) curve analysis for predicting the accuracy of biomarkers in detecting the presence of renal scars.

Results:

The median urinary NGAL (uNGAL) value was higher in children with renal scar (1.49 ng/mL) than those without renal scar (0.58 ng/mL) and was statistically significant (<0.001). Whereas median uNGAL/Cr was higher in children with renal scar (0.07) than those without renal scar (0.03) but was not statistically significant (P = 0.06). Urinary KIM-1 and urinary KIM-1/urinary Cr (uKIM-1/Cr) was not found to be a significant predictor of renal scar. The difference of uNGAL/Cr was comparable between the grades of renal scar but was not statistically significant. On ROC curve analysis, uNGAL had area under the ROC curve (AUC) of 0.769 with 71% of both specificity and sensitivity, whereas uNGAL/Cr was found to be a poor predictor of renal scar with AUC of 0.611, 60% sensitivity, and 61.2% specificity.

Conclusion:

uNGAL can serve as a noninvasive marker for diagnosing the presence of renal scar in children with VUR and a multicentric more extensive cohort study may be needed to strengthen or negate its role.

Sedation Rate Reduction in Paediatric Renal Nuclear Medicine Examinations: Consequences of a Targeted Audit

Background: Nuclear medicine investigations are essential diagnostic tools in paediatric urology. Child-orientated examination techniques and the avoidance of sedation or anaesthesia vary in different institutions. We aimed at evaluating child friendly measures in our department to identify the potential for improvement. Based on these data, we changed the standards regarding the sedation policy and consequently re-evaluated sedation rates. Methods: Four-hundred thirty-five consecutive investigations were evaluated regarding the need for sedation, outcome and patient satisfaction at our department. After the revision of our department standards, we re-evaluated 159 examinations. Statistical analysis was performed with JUMBO (Java-supported Münsterian biometrical platform). Results: Eighty-six percent (60/70) would agree to perform an investigation under identical conditions again. Seventy-seven percent (17/22) of eligible patients >5 years of age felt good during the investigation. By changing our sedation policy, we could reduce the sedation rate from 27.1% to 7.5% (p < 0.0001; OR 0.219 95% CI 0.111–0.423). Conclusion: The evaluation of child friendly examination protocols demonstrated high reliability and patient satisfaction using situational sedation with a relatively high proportion of patients being sedated. Through protocol adaption with clear age limits, individual indication and education of staff, as well as the use of optimized sedatives, the need for sedation could be further reduced whilst maintaining a high patient satisfaction.