Development and Validation of a Calculator for Estimating the Probability of Urinary Tract Infection in Young Febrile Children

Risk of Urinary Tract Infection and Bacteremia in Infants Infected With COVID-19

OBJECTIVE

Our objective was to evaluate the risk of urinary tract infection (UTI) and bacteremia in infants 1 year or less of age infected with COVID-19.

METHODS

This was a retrospective study from TriNetX database in the United States. This study was from March 11, 2020, to May 11, 2023, during the COVID-19 pandemic. Patients were included if they were infants, 1 year or less, had a fever, and had a COVID-19 polymerase chain reaction test 1 week before or after presentation to the emergency department (ED) or hospital. We compared outcomes of bacteremia and a UTI in those with COVID-19 and those without COVID-19. Propensity matching was done to account for the confounders of age, gender, race, immune disorders, genitourinary abnormalities, preterm birth, and circumcision.

RESULTS

Infants who were positive for COVID-19 were at a reduced risk of UTI and bacteremia. There was a significant decreased risk of having a UTI if one had COVID-19 (1.0%) versus those without COVID-19 (2.3%) (risk ratio = 0.37, 95% confidence interval = 0.37-0.50, P < 0.001). For bacteremia, there was also a decreased risk if the infant had COVID-19 (0.4%), versus those without COVID-19 (0.5%) (risk ratio = 0.74, 95% confidence interval = 0.56-0.97, P = 0.03).

CONCLUSIONS

Infants with fever found to have COVID-19 had lower risks of UTI and bacteremia.

Update of the Spanish clinical practice guideline for urinary tract infection in infants and children. Summary of recommendations for diagnosis, treatment and follow-up

The management of urinary tract infection (UTI) in infants and children has changed significantly over the past few decades based on scientific evidence that questioned the efficacy of strategies used to prevent kidney injury and subsequent progression to chronic kidney disease, which is very unlikely in most paediatric cases. However, there is still substantial heterogeneity in its management and uncertainty regarding the diagnosis, indication of imaging tests, treatment or follow-up in these patients. The Spanish clinical practice guideline has been updated through the review of the literature published since 2009 and a rigorous evaluation of current clinical practice aspects, taking into account the evidence on the benefits of each intervention in addition to its risks and drawbacks to attempt to provide more precise recommendations.

Isolated Hydronephrosis and Urinary Tract Infection by Two Years of Age: A Population-Based Study

OBJECTIVE

To evaluate the risk for urinary tract infection (UTI) in infants with isolated hydronephrosis (IH).

STUDY DESIGN

A retrospective, population-based study including all infants insured by Clalit Health Services and followed from birth to age 2 years in 3 regions of central Israel. Infants were divided into 3 groups based on electronic medical record diagnoses by age 6 months: (1) control: no urological diagnosis; (2) IH; and (3) complicated urological diagnosis (CUD): any additional nephrological/urological diagnosis with/without HN. The primary outcome was a diagnosis of UTI in the first 2 years of life.

RESULTS

The cohort included 340 619 infants (52% male): 333 920 controls, 4369 with IH, and 2331 with CUD. Infants with IH were associated with a greater risk for UTI than control patients (17% vs 4%, P < .001). UTI risk for a male infant with IH was greater than for a female infant in the control group (12.6% vs 6.5%, P < .001). In a multivariable logistic regression analysis, both IH (OR 7.04; 95% CI 6.46-7.66) and CUD (OR 14.9; 95% CI 13.6-16.4) were independently associated with UTI.

CONCLUSION

Infants with IH are at a greater risk for UTI in the first 2 years of life, supporting the recommendation for a high index of suspicion for UTI in this population.

Review of Urinary Tract Infections and Pyelonephritis

Urinary tract infections (UTIs) are serious bacterial infections affecting children of all ages. An understanding of the methods of urine collection is important to prevent the contamination of urine specimens and to interpret results. The diagnosis of a UTI requires appropriate interpretation of both urinalysis and urine culture results because testing must indicate evidence of inflammation and the presence of bacteria. Rapid treatment of UTIs is imperative to prevent acute decompensation and systemic illness. Empiric antibiotics should be narrowed as soon as possible to tailor antibiotic treatment and limit antibiotic overuse. Imaging with a renal ultrasound scan is recommended for all infants with first febrile UTIs rather than a voiding cystourethrogram. An additional goal of UTI treatment is to prevent renal scarring, which can lead to lifelong health consequences. Children with anatomic abnormalities of the urinary tract and those who have recurrent UTIs are at increased risk of renal scarring. [Pediatr Ann. 2024;53(6):e217-e222.].

Measuring and Reducing Racial Bias in a Pediatric Urinary Tract Infection Model

Clinical predictive models that include race as a predictor have the potential to exacerbate disparities in healthcare. Such models can be respecified to exclude race or optimized to reduce racial bias. We investigated the impact of such respecifications in a predictive model - UTICalc - which was designed to reduce catheterizations in young children with suspected urinary tract infections. To reduce racial bias, race was removed from the UTICalc logistic regression model and replaced with two new features. We compared the two versions of UTICalc using fairness and predictive performance metrics to understand the effects on racial bias. In addition, we derived three new models for UTICalc to specifically improve racial fairness. Our results show that, as predicted by previously described impossibility results, fairness cannot be simultaneously improved on all fairness metrics, and model respecification may improve racial fairness but decrease overall predictive performance.

A novel score for early prediction of urinary tract infection risk in patients with acute ischemic stroke: a nomogram-based retrospective cohort study

This study aimed to construct and externally validate a user-friendly nomogram-based scoring model for predicting the risk of urinary tract infections (UTIs) in patients with acute ischemic stroke (AIS). A retrospective real-world cohort study was conducted on 1748 consecutive hospitalized patients with AIS. Out of these patients, a total of 1132 participants were ultimately included in the final analysis, with 817 used for model construction and 315 utilized for external validation. Multivariate regression analysis was applied to develop the model. The discriminative capacity, calibration ability, and clinical effectiveness of the model were evaluated. The overall incidence of UTIs was 8.13% (92/1132), with Escherichia coli being the most prevalent causative pathogen in patients with AIS. After multivariable analysis, advanced age, female gender, National Institute of Health Stroke Scale (NIHSS) score ≥ 5, and use of urinary catheters were identified as independent risk factors for UTIs. A nomogram-based SUNA model was constructed using these four factors (Area under the receiver operating characteristic curve (AUC) = 0.810), which showed good discrimination (AUC = 0.788), calibration, and clinical utility in the external validation cohort. Based on four simple and readily available factors, we derived and externally validated a novel and user-friendly nomogram-based scoring model (SUNA score) to predict the risk of UTIs in patients with AIS. The model has a good predictive value and provides valuable information for timely intervention in patients with AIS to reduce the occurrence of UTIs.

Urinary Tract Infections in Children

Despite the American Academy of Pediatrics guidelines for the evaluation, treatment, and management of urinary tract infections (UTIs), UTI diagnosis and management remains challenging for clinicians. Challenges with acute UTI management stem from vague presenting signs and symptoms, diagnostic uncertainty, limitations in laboratory testing, and selecting appropriate antibiotic therapy in an era with increasing rates of antibiotic-resistant uropathogens. Recurrent UTI management remains difficult due to an incomplete understanding of the factors contributing to UTI, when to assess a child with repeated infections for kidney and urinary tract anomalies, and limited prevention strategies. To help reduce these uncertainties, this review provides a comprehensive overview of UTI epidemiology, risk factors, diagnosis, treatment, and prevention strategies that may help pediatricians overcome the challenges associated with acute and recurrent UTI management.

Trends in the Use and Discussion of Race in Pediatrics Articles Over 75 Years

BACKGROUND AND OBJECTIVES

Race-based medicine, which falsely assumes that race is biological, is common in the published medical literature. We analyzed trends in the use of race in Pediatrics articles over a 75-year period.

METHODS

We analyzed a random sample of 50 original research articles published each decade in Pediatrics from 1948 to 2022.

RESULTS

Of 375 articles, 39% (n = 147) included race. Among articles, 85% (n = 116) used race only to describe study subjects, 7% (n = 9) described race as a social construct, and 11% (n = 15) described race as a biological construct. Only 7% (n = 10) of studies provided a reason for including race. Statements reflective of racial bias or discrimination were identified in 22% (n = 30) of the articles that mentioned race. Although statements concerning for explicit racial bias were uncommon, with none identified in the most recent decade, statements suggestive of implicit racial bias still occurred (22%, 5 of 23). Race was presented as a dichotomy, such as "white/nonwhite," in 9% of studies (n = 12). Regarding currently nonrecommended terminology, the term "minorities" was used in 13% of studies (n = 18); 25% of studies used the term "others" (n = 34), and among these, 91% (n = 31 of 34) did not provide any definition, an occurrence that increased over time at a rate of 0.9%/year.

CONCLUSIONS

Although there has been improvement over the past 75 years in the reporting of race in published studies in Pediatrics, significant opportunities for further improvement remain.

Diagnostic Value of the Systemic Immune-Inflammation Index in Newborns with Urinary Tract Infection

OBJECTIVE

Aim of this study is to investigate the diagnostic role of the systemic immune-inflammation index (SII; neutrophil × platelet [PLT]/lymphocyte) in the prediction of renal involvement in newborns with urinary tract infection (UTI).

STUDY DESIGN

We conducted a retrospective cohort study among 117 newborns with a gestational age greater than 35 weeks and hospitalized in the NICU. Laboratory values obtained from blood samples taken before the initiation of antibiotics were evaluated for renal function tests, complete blood count, and acute phase reactants. The ratios of platelet-to-lymphocyte (PLR), neutrophil-to-lymphocyte (NLR), and SII were calculated. The patients were divided into two main groups according to the presence of urinary tract pathology in ultrasonography (US): group 1, UTI with renal involvement (n = 43) and group 2, UTI without renal involvement (n = 74). Predictive values of different tests were compared.

RESULTS

The mean white blood cell, PLT, mean PLT volume, and neutrophile counts were higher, while lymphocyte counts were significantly lower in group 1 than those of group 2. Interleukin 6 (IL-6; pg/mL; IL-6), C-reactive protein (CRP; mg/L), NLR, PLR, and SII values were also higher in group 1. Receiver operating characteristics curve showed that SII, CRP, IL-6, PLR, and NLR have a predictive ability to discriminate renal involvement from normal renal findings in newborns with UTI. The SII produced an area under curve of 0.75 (72% sensitivity and 60.8% specificity). To define renal involvement, the cut-off values of SII, CRP, IL-6, PLR, and NLR were 217, 3.06, 23, 65.5, and 0.60, respectively.

CONCLUSION

Our results showed that SII might be used as an additional parameter in the prediction of renal involvement in newborns with UTIs. Further studies are required.

KEY POINTS

· Most UTIs in newborns present with upper UTI rather than simple cystitis.. · Some inflammatory markers can be used for the diagnosis of UTIs.. · SII may be useful in the prediction of urinary tract infections..

Separating the rash from the chaff: novel clinical decision support deployed during the mpox outbreak

A clinical decision support system, EvalMpox, was developed to apply person under investigation (PUI) criteria for patients presenting with rash and to recommend testing for PUIs. Of 668 patients evaluated, an EvalMpox recommendation for testing had a positive predictive value of 35% and a negative predictive value of 99% for a positive mpox test.

Treatment Delay of Febrile Urinary Tract Infections Among Infants With Respiratory Symptoms

OBJECTIVE

To evaluate whether antibiotic treatment of febrile urinary tract infection (UTI) is delayed in febrile infants with respiratory symptoms compared with those without.

STUDY DESIGN

Data of infants 2-24 months of age diagnosed with UTI from March 1, 2012 to May 31, 2023 were collected from our hospital's medical charts and triage records. Patients with known congenital anomalies of the kidney and urinary tract or a history of febrile UTI were excluded. Patients were classified as having respiratory symptoms if they had any of the following symptoms or clinical signs: cough, rhinorrhea, pharyngeal hyperemia and otitis media. Time to first antibiotic treatment from fever onset was compared between patients with and without respiratory symptoms. A Cox regression model was constructed to adjust for potential confounders.

RESULTS

A total of 214 patients were eligible for analysis. The median age of the eligible patients was 5.0 months (interquartile range: 3.0-8.8) and 118 (55%) were male. There were 104 and 110 patients in the respiratory symptom and no respiratory symptom groups, respectively. The time to first antibiotic treatment was significantly longer in the group with respiratory symptoms (51 hours vs. 21 hours). Respiratory symptoms were significantly associated with a longer time to first treatment after adjustment for age and sex in the Cox regression model (hazard ratio = 0.63, 95% confidence interval: 0.47-0.84).

CONCLUSIONS

Treatment of febrile UTI infants with respiratory symptoms tends to be delayed. Pediatricians should not exclude febrile UTI even in the presence of respiratory symptoms.

Bacteremia From a Presumed Urinary Source in Hospitalized Adults With Asymptomatic Bacteriuria

Importance

Guidelines recommend withholding antibiotics in asymptomatic bacteriuria (ASB), including among patients with altered mental status (AMS) and no systemic signs of infection. However, ASB treatment remains common.

Objectives

To determine prevalence and factors associated with bacteremia from a presumed urinary source in inpatients with ASB with or without AMS and estimate antibiotics avoided if a 2% risk of bacteremia were used as a threshold to prompt empiric antibiotic treatment of ASB.

Design, Setting, and Participants

This cohort study assessed patients hospitalized to nonintensive care with ASB (no immune compromise or concomitant infections) in 68 Michigan hospitals from July 1, 2017, to June 30, 2022. Data were analyzed from August 2022 to January 2023.

Main Outcomes and Measures

The primary outcome was prevalence of bacteremia from a presumed urinary source (ie, positive blood culture with matching organisms within 3 days of urine culture). To determine factors associated with bacteremia, we used multivariable logistic regression models. We estimated each patient's risk of bacteremia and determined what percentage of patients empirically treated with antibiotics had less than 2% estimated risk of bacteremia.

Results

Of 11 590 hospitalized patients with ASB (median [IQR] age, 78.2 [67.7-86.6] years; 8595 female patients [74.2%]; 2235 African American or Black patients [19.3%], 184 Hispanic patients [1.6%], and 8897 White patients [76.8%]), 8364 (72.2%) received antimicrobial treatment for UTI, and 161 (1.4%) had bacteremia from a presumed urinary source. Only 17 of 2126 patients with AMS but no systemic signs of infection (0.7%) developed bacteremia. On multivariable analysis, male sex (adjusted odds ratio [aOR], 1.45; 95% CI, 1.02-2.05), hypotension (aOR, 1.86; 95% CI, 1.18-2.93), 2 or more systemic inflammatory response criteria (aOR, 1.72; 95% CI, 1.21-2.46), urinary retention (aOR, 1.87; 95% CI, 1.18-2.96), fatigue (aOR, 1.53; 95% CI, 1.08-2.17), log of serum leukocytosis (aOR, 3.38; 95% CI, 2.48-4.61), and pyuria (aOR, 3.31; 95% CI, 2.10-5.21) were associated with bacteremia. No single factor was associated with more than 2% risk of bacteremia. If 2% or higher risk of bacteremia were used as a cutoff for empiric antibiotics, antibiotic exposure would have been avoided in 78.4% (6323 of 8064) of empirically treated patients with low risk of bacteremia.

Conclusions and Relevance

In patients with ASB, bacteremia from a presumed urinary source was rare, occurring in less than 1% of patients with AMS. A personalized, risk-based approach to empiric therapy could decrease unnecessary ASB treatment.

Should you test for urinary tract infection in children with respiratory symptoms?

QUESTION

An 8-month-old boy presented to our clinic with a 3-day history of fever. He has had a cough and rhinorrhea since the onset of the fever, and his 4-year-old sibling has recently had cough and cold symptoms. I have heard that the presence of respiratory symptoms means that urinary tract infection (UTI) is less likely. In infants with fever and respiratory symptoms, who should have a sample collected for urinalysis for UTI?

ANSWER

The approach to diagnosing febrile infants who have respiratory symptoms varies by age. Urinalysis should be done for all febrile infants younger than 2 months of age, regardless of whether they have respiratory symptoms. Clinicians should assess risk factors for UTI in every infant between 2 and 24 months of age and should not exclude the diagnosis of UTI based on respiratory symptoms alone. Use of a predictive tool to estimate the pretest probability of UTI would aid decision making about patients in this population.

External Validation of the UTICalc with and Without Race for Pediatric Urinary Tract Infection

OBJECTIVE

To validate externally the UTICalc, a popular clinical decision support tool used to determine the risk of urinary tract infections (UTIs) in febrile children, and compare its performance with and without the inclusion of race and at differing risk thresholds.

METHODS

We performed a retrospective, singlecenter case-control study of febrile children (2-24 months) in an emergency department. Cases with culture-confirmed UTI were matched 1:1 to controls. We compared the performance of the original model which included race (version 1.0) to a revised model which did not consider race (version 3.0). We evaluated model performance at risk thresholds between 2% and 5%.

RESULTS

We included 185 cases and 197 controls (median age 8.4 months; IQR, 4.4-13.0 months; 60.5% girls). When using UTICalc version 1.0, the model area under the receiver operator characteristic curve (AUROC) was 73.4% (95% CI 68.4%-78.5%), which was similar to the version 3.0 model (73.8%; 95% CI 68.7%-78.8%). When using a 2% risk threshold, the version 3.0 model demonstrated a sensitivity of 96.7% and a specificity of 25.0%, with declines in sensitivity and gains in specificity at higher risk thresholds. Version 1.0 of the UTICalc had 12 false negatives, of whom 10 were Black (83%); whereas version 3.0 had 6 false negatives, of whom 2 were Black (33%).

CONCLUSIONS

Versions of the UTICalc with and without race had similar performance to each other with a slight decline from the original derivation sample. The removal of race did not adversely affect the accuracy of the UTICalc.

Impact of health disparity on pediatric infections

PURPOSE OF REVIEW

The COVID-19 pandemic highlighted the health disparities among minoritized children due to structural racism and socioeconomic inequalities. This review discusses how health disparities affect pediatric infections and how they can be addressed.

RECENT FINDINGS

In addition to disparities in healthcare access due to poverty, geography, and English-language proficiency, implicit and explicit bias affects the healthcare quality and subsequent outcomes in children and adolescents with infections. Disparities in clinical trial enrollment affect the generalizability of research findings. Physicians who understand their patients' languages and the contexts of culture and socioeconomic conditions are better equipped to address the needs of specific populations and the health disparities among them.

SUMMARY

Addressing disparities in pediatric infections requires prioritization of efforts to increase physician workforce diversity in Pediatric Infectious Diseases, as well as education in bias reduction and culturally sensitive clinical practice, in addition to socioeconomic interventions that improve healthcare access, delivery, and outcomes.

Measuring and Reducing Racial Bias in a Pediatric Urinary Tract Infection Model

Clinical predictive models that include race as a predictor have the potential to exacerbate disparities in healthcare. Such models can be respecified to exclude race or optimized to reduce racial bias. We investigated the impact of such respecifications in a predictive model - UTICalc - which was designed to reduce catheterizations in young children with suspected urinary tract infections. To reduce racial bias, race was removed from the UTICalc logistic regression model and replaced with two new features. We compared the two versions of UTICalc using fairness and predictive performance metrics to understand the effects on racial bias. In addition, we derived three new models for UTICalc to specifically improve racial fairness. Our results show that, as predicted by previously described impossibility results, fairness cannot be simultaneously improved on all fairness metrics, and model respecification may improve racial fairness but decrease overall predictive performance.

Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points

Purpose

Accurate prediction of urinary tract infection (UTI) following intracerebral hemorrhage (ICH) can significantly facilitate both timely medical interventions and therapeutic decisions in neurocritical care. Our study aimed to propose a machine learning method to predict an upcoming UTI by using multi-time-point statistics.

Methods

A total of 110 patients were identified from a neuro-intensive care unit in this research. Laboratory test results at two time points were chosen: Lab 1 collected at the time of admission and Lab 2 collected at the time of 48 h after admission. Univariate analysis was performed to investigate if there were statistical differences between the UTI group and the non-UTI group. Machine learning models were built with various combinations of selected features and evaluated with accuracy (ACC), sensitivity, specificity, and area under the curve (AUC) values.

Results

Corticosteroid usage (p < 0.001) and daily urinary volume (p < 0.001) were statistically significant risk factors for UTI. Moreover, there were statistical differences in laboratory test results between the UTI group and the non-UTI group at the two time points, as suggested by the univariate analysis. Among the machine learning models, the one incorporating clinical information and the rate of change in laboratory parameters outperformed the others. This model achieved ACC = 0.773, sensitivity = 0.785, specificity = 0.762, and AUC = 0.868 during training and 0.682, 0.685, 0.673, and 0.751 in the model test, respectively.

Conclusion

The combination of clinical information and multi-time-point laboratory data can effectively predict upcoming UTIs after ICH in neurocritical care.

Utilization and safety of telemedicine for pediatric lower urinary tract symptoms before and during the COVID-19 pandemic

OBJECTIVES

Telemedicine for pediatric lower urinary tract symptoms (pLUTS) is a relatively new mode of delivering bladder health education with scant evidence supporting current practice. We aim to examine the safety of pLUTS-related telemedicine visits surrounding the COVID-19 pandemic.

METHODS

We conducted a retrospective cohort study of new pLUTS referral diagnoses to our institution's pediatric urology clinics. Demographics, wait times, and referral diagnoses were captured and compared before and after March 2020 using χ2 /Fisher exact tests and t-tests. A retrospective chart review was performed for an initial telemedicine visit followed by an in-person visit to identify missed radiology, lab, or physical exam findings.

RESULTS

Six hundred twelve patients were included from September 2018 to August 2021. Most were 5-10 years old (62.3%), female (56.2%), English speaking (86.5%), White (39.4%), and had private insurance (67.2%). Wait times were shorter for telemedicine versus in-person visits (t190  = -3.56, p < .001). After March 2020, patients with a urinary tract infection (UTI) and females utilized in-person visits more often (p < .001). After chart review (11 patients, mean = 10.4 years), 9 (81.8%) had comorbid conditions and/or family history of lower urinary tract symptoms. None had missed clinical findings that changed management.

CONCLUSIONS

pLUTS care can be delivered via telemedicine without a significant change in patient volume and population, though additional investigations will clarify the needs of patients with specific referral diagnoses and comorbid conditions. The in-person exam can be omitted safely with proper clinical history taking, supporting future virtual programs that address delays in care within local communities.

Antibiotic Use for Common Infections in Pediatric Emergency Departments: A Narrative Review

Antibiotics are one of the most prescribed medications in pediatric emergency departments. Antimicrobial stewardship programs assist in the reduction of antibiotic use in pediatric patients. However, the establishment of antimicrobial stewardship programs in pediatric EDs remains challenging. Recent studies provide evidence that common infectious diseases treated in the pediatric ED, including acute otitis media, tonsillitis, community-acquired pneumonia, preseptal cellulitis, and urinary-tract infections, can be treated with shorter antibiotic courses. Moreover, there is still controversy regarding the actual need for antibiotic treatment and the optimal dosing scheme for each infection.

Utilizing Clinical Decision Support in the Treatment of Urinary Tract Infection across a Large Pediatric Primary Care Network

Introduction

Cystitis and pyelonephritis are common bacterial infections in infants and children, and initial treatment is usually empirical. Antimicrobial stewardship advocates using narrow-spectrum antibiotics with consideration for local resistance patterns. Narrow-spectrum antibiotic use is critical in addressing the global issue of bacterial antimicrobial resistance, associated with approximately 5 million annual deaths.

Methods

The antimicrobial stewardship committee developed a guideline for diagnosing and managing urinary tract infections and distributed it to all primary care providers. A standardized order set provided clinical decision support regarding appropriate first-line antibiotic therapy. A chief complaint of dysuria prompted the use of the order set. Prescription rates for the most common antimicrobials were tracked on a control chart.

Results

From March 2018 through March 2020, there were 4,506 antibiotic prescriptions for urinary tract infections. Utilization of the recommended first-line therapy, cephalexin, increased from 27.5% to 74.8%. Over the same period, trimethoprim-sulfamethoxazole, no longer recommended due to high local resistance, decreased from 31.8% to 8.1%. Providers have maintained these prescribing patterns since the conclusion of the project.

Conclusion

Using clinical decision support as a standardized order set can sustainably improve the use of first-line antimicrobials for treating pediatric urinary tract infections.

Artificial intelligence-based clinical decision support in pediatrics

Machine learning models may be integrated into clinical decision support (CDS) systems to identify children at risk of specific diagnoses or clinical deterioration to provide evidence-based recommendations. This use of artificial intelligence models in clinical decision support (AI-CDS) may have several advantages over traditional "rule-based" CDS models in pediatric care through increased model accuracy, with fewer false alerts and missed patients. AI-CDS tools must be appropriately developed, provide insight into the rationale behind decisions, be seamlessly integrated into care pathways, be intuitive to use, answer clinically relevant questions, respect the content expertise of the healthcare provider, and be scientifically sound. While numerous machine learning models have been reported in pediatric care, their integration into AI-CDS remains incompletely realized to date. Important challenges in the application of AI models in pediatric care include the relatively lower rates of clinically significant outcomes compared to adults, and the lack of sufficiently large datasets available necessary for the development of machine learning models. In this review article, we summarize key concepts related to AI-CDS, its current application to pediatric care, and its potential benefits and risks. IMPACT: The performance of clinical decision support may be enhanced by the utilization of machine learning-based algorithms to improve the predictive performance of underlying models. Artificial intelligence-based clinical decision support (AI-CDS) uses models that are experientially improved through training and are particularly well suited toward high-dimensional data. The application of AI-CDS toward pediatric care remains limited currently but represents an important area of future research.

Fifteen-minute consultation: The approach to the febrile child

Febrile children presenting to the emergency department pose unique challenges. This article highlights the importance of identifying children at particular risk of serious bacterial infection (SBI) using risk factors, red flags and appropriate investigations. Emergency clinicians must be aware of the risk factors for SBI in febrile children, including young age, ill-appearing children and those with complex comorbidities or immunodeficiency. The presence of red flags in febrile children should immediately alert concern and prompt senior clinician review. This article also discusses the appropriate use of investigations and their role in complementing clinical assessment. When discharging children home after emergency department assessment, safety netting should be undertaken to ensure parents are aware when to seek further medical opinion. The presence of a prolonged fever of 5 days or longer should alert suspicion and usually requires further investigation.

Racial Differences in Urine Testing of Febrile Young Children Presenting to Pediatric Hospitals

INTRODUCTION

Dating back to 2011, practice guidelines considered Black race a factor associated with lower risk of urinary tract infection (UTI). Race-based clinical decisions raise concerns about potential treatment disparities. We investigate urine testing (urinalysis and/or urine culture) among young febrile children in the emergency department (ED), revisits, and potential missed diagnoses by race/ethnicity.

METHODS

We performed a multicenter retrospective cohort study of children 2-24 months evaluated in 26 US EDs from 2009 to 2019 with a fever diagnosis. We evaluated longitudinal testing trends, constructed a generalized linear mixed-effects model to identify the association of race/ethnicity with testing, and characterized UTI diagnoses and ≤ 7-day revisits.

RESULTS

Of 734,730 included patients, 24.1% were Black. Variation in urine testing was observed by patient race/ethnicity (23.4% Black, 31.7% White, 33.9% Hispanic, 30.0% other race). Relative differences in testing persisted over time. Black patients had lower adjusted odds of testing (0.70, 95% confidence interval [CI] 0.69-0.71). Among patients with urine testing, 2.4% (95% CI 2.3-2.6%) of Black and 3.3% (95% CI 3.1-3.4%) of White patients were diagnosed with UTI. Among Black patients with urine testing on the index visit, 8.5% (95% CI 8.2-8.8%) had return visits compared to 7.6% (95% CI 7.5-7.8%) among those without urine testing on index visit. Among patients with urine testing on revisit, UTI diagnosis was similar by race/ethnicity.

CONCLUSION

Black patients had lower rates of urine testing and UTI diagnoses relative to other racial/ethnic groups. This was not associated with higher rates of missed diagnoses or unscheduled return visits.

Urinary tract infections in children: building a causal model-based decision support tool for diagnosis with domain knowledge and prospective data

BACKGROUND

Diagnosing urinary tract infections (UTIs) in children in the emergency department (ED) is challenging due to the variable clinical presentations and difficulties in obtaining a urine sample free from contamination. Clinicians need to weigh a range of observations to make timely diagnostic and management decisions, a difficult task to achieve without support due to the complex interactions among relevant factors. Directed acyclic graphs (DAG) and causal Bayesian networks (BN) offer a way to explicitly outline the underlying disease, contamination and diagnostic processes, and to further make quantitative inference on the event of interest thus serving as a tool for decision support.

METHODS

We prospectively collected data on children present to ED with suspected UTIs. Through knowledge elicitation workshops and one-on-one meetings, a DAG was co-developed with clinical domain experts (the Expert DAG) to describe the causal relationships among variables relevant to paediatric UTIs. The Expert DAG was combined with prospective data and further domain knowledge to inform the development of an application-oriented BN (the Applied BN), designed to support the diagnosis of UTI. We assessed the performance of the Applied BN using quantitative and qualitative methods.

RESULTS

We summarised patient background, clinical and laboratory characteristics of 431 episodes of suspected UTIs enrolled from May 2019 to November 2020. The Expert DAG was presented with a narrative description, elucidating how infection, specimen contamination and management pathways causally interact to form the complex picture of paediatric UTIs. Parameterised using prospective data and expert-elicited parameters, the Applied BN achieved an excellent and stable performance in predicting Escherichia coli culture results, with a mean area under the receiver operating characteristic curve of 0.86 and a mean log loss of 0.48 based on 10-fold cross-validation. The BN predictions were reviewed via a validation workshop, and we illustrate how they can be presented for decision support using three hypothetical clinical scenarios.

CONCLUSION

Causal BNs created from both expert knowledge and data can integrate case-specific information to provide individual decision support during the diagnosis of paediatric UTIs in ED. The model aids the interpretation of culture results and the diagnosis of UTIs, promising the prospect of improved patient care and judicious use of antibiotics.

Decreasing Misdiagnoses of Urinary Tract Infections in a Pediatric Emergency Department

BACKGROUND AND OBJECTIVES

Urinary tract infection (UTI) is a common diagnosis in the emergency department (ED), often resulting in empirical antibiotic treatment before culture results. Diagnosis of a UTI, particularly in children, can be challenging and misdiagnosis is common. The aim of this initiative was to decrease the misdiagnosis of uncomplicated pediatric UTIs by 50% while improving antimicrobial stewardship in the ED over 4 years.

METHODS

By using the Model for Improvement, 3 interventions were developed: (1) an electronic UTI diagnostic algorithm, (2) a callback system, and (3) a standardized discharge antibiotic prescription. Outcome measures included the percentage of patients with UTI misdiagnosis (prescribed antibiotics, but urine culture results negative) and antibiotic days saved. As a balancing measure, positive urine culture results without a UTI diagnosis were reviewed for ED return visits or hospitalization. Statistical process control and run charts were used for analysis.

RESULTS

From 2017 to 2021, the mean UTI misdiagnosis decreased from 54.6% to 26.4%. The adherence to the standardized antibiotic duration improved from 45.1% to 84.6%. With the callback system, 2128 antibiotic days were saved with a median of 89% of patients with negative culture results contacted to discontinue antibiotics. Of 186 patients with positive urine culture results with an unremarkable urinalysis, 14 returned to the ED, and 2 were hospitalized for multiresistant organism UTI treatment.

CONCLUSIONS

A UTI diagnostic algorithm coupled with a callback system safely reduced UTI misdiagnoses and antibiotic usage. Embedding these interventions electronically as a decision support tool, targeted audit and feedback, reminders, and education all supported long-term sustainability.

Validation of Prediction Models for Pneumonia Among Children in the Emergency Department

BACKGROUND

Several prediction models have been reported to identify patients with radiographic pneumonia, but none have been validated or broadly implemented into practice. We evaluated 5 prediction models for radiographic pneumonia in children.

METHODS

We evaluated 5 previously published prediction models for radiographic pneumonia (Neuman, Oostenbrink, Lynch, Mahabee-Gittens, and Lipsett) using data from a single-center prospective study of patients 3 months to 18 years with signs of lower respiratory tract infection. Our outcome was radiographic pneumonia. We compared each model's area under the receiver operating characteristic curve (AUROC) and evaluated their diagnostic accuracy at statistically-derived cutpoints.

RESULTS

Radiographic pneumonia was identified in 253 (22.2%) of 1142 patients. When using model coefficients derived from the study dataset, AUROC ranged from 0.58 (95% confidence interval, 0.52-0.64) to 0.79 (95% confidence interval, 0.75-0.82). When using coefficients derived from original study models, 2 studies demonstrated an AUROC >0.70 (Neuman and Lipsett); this increased to 3 after deriving regression coefficients from the study cohort (Neuman, Lipsett, and Oostenbrink). Two models required historical and clinical data (Neuman and Lipsett), and the third additionally required C-reactive protein (Oostenbrink). At a statistically derived cutpoint of predicted risk from each model, sensitivity ranged from 51.2% to 70.4%, specificity 49.9% to 87.5%, positive predictive value 16.1% to 54.4%, and negative predictive value 83.9% to 90.7%.

CONCLUSIONS

Prediction models for radiographic pneumonia had varying performance. The 3 models with higher performance may facilitate clinical management by predicting the risk of radiographic pneumonia among children with lower respiratory tract infection.

Reassessment of the Role of Race in Calculating the Risk for Urinary Tract Infection: A Systematic Review and Meta-analysis

IMPORTANCE

A previously reported prediction model included a child's race to estimate risk of urinary tract infection (UTI), but race-conscious medicine encourages investigating how race is likely to be a proxy for other factors that should instead be used for risk prediction.

OBJECTIVES

To systematically review the available literature to evaluate the robustness of the association between race and UTI and to assess whether other variables could replace race as a variable in a previously developed prediction tool without adversely affecting its accuracy.

DATA SOURCE

MEDLINE was searched through May 28, 2021.

STUDY SELECTION

English-language studies that reported data on the prevalence of UTI according to race for children younger than 18 years were included.

DATA EXTRACTION AND SYNTHESIS

Two independent reviewers assessed studies for risk of bias and abstracted data. Random-effects models were used to pool odds ratios, and meta-regression was used to explore heterogeneity.

MAIN OUTCOMES AND MEASURES

Odds of UTI among non-Black children vs Black children.

RESULTS

Sixteen studies (17 845 children) were included. In the primary analysis, which included 11 studies, the pooled odds ratio of UTI among non-Black children was 2.44-fold higher (95% CI, 1.87-3.20) than among Black children. The corresponding odds ratio in studies with low or very low risk of bias was 4.84-fold higher (95% CI, 3.16-7.41; I2 = 0%) among non-Black children than among Black children. Replacing race with history of UTI and duration of fever resulted in a model with similar accuracy (training cohort: overall sensitivity, 96% [95% CI, 94%-98%]; overall specificity, 35% [95%, 32%-38%]; overall area under the receiver operating characteristic curve, 0.80 [95% CI, 0.77-0.82]; validation cohort: overall sensitivity, 97% [95% CI, 90%-100%]; overall specificity, 32% [95% CI, 26%-37%]; overall area under the receiver operating characteristic curve, 0.84 [95% CI, 0.77-0.92]).

CONCLUSIONS AND RELEVANCE

Although previous studies suggested that an association between race and UTI exists, because of the issues associated with the inclusion of race in decision models, we replaced the variable of race with history of UTI and duration of fever in a previously developed risk prediction model and found similar accuracy.

Contemporary Management of Urinary Tract Infections in Children

Purpose of Review

Urinary tract infection (UTI) in children is a major source of office visits and healthcare expenditure. Research into the diagnosis, treatment, and prophylaxis of UTI has evolved over the past 10 years. The development of new imaging techniques and UTI screening tools has improved our diagnostic accuracy tremendously. Identifying who to treat is imperative as the increase in multi-drug-resistant organisms has emphasized the need for antibiotic stewardship. This review covers the contemporary management of children with UTI and the data-driven paradigm shifts that have been implemented into clinical practice.

Recent Findings

With recent data illustrating the self-limiting nature and low prevalence of clinically significant vesicoureteral reflux (VUR), investigational imaging in children has become increasingly less frequent. Contrast-enhanced voiding urosonogram (CEVUS) has emerged as a useful diagnostic tool, as it can provide accurate detection of VUR without the need of radiation. The urinary and intestinal microbiomes are being investigated as potential therapeutic drug targets, as children with recurrent UTIs have significant alterations in bacterial proliferation. Use of adjunctive corticosteroids in children with pyelonephritis may decrease the risk of renal scarring and progressive renal insufficiency. The development of a vaccine against an antigen present on Escherichia coli may change the way we treat children with recurrent UTIs.

Summary

The American Academy of Pediatrics defines a UTI as the presence of at least 50,000 CFU/mL of a single uropathogen obtained by bladder catheterization with a dipstick urinalysis positive for leukocyte esterase (LE) or WBC present on urine microscopy. UTIs are more common in females, with uncircumcised males having the highest risk in the first year of life. E. coli is the most frequently cultured organism in UTI diagnoses and multi-drug-resistant strains are becoming more common. Diagnosis should be confirmed with an uncontaminated urine specimen, obtained from mid-stream collection, bladder catheterization, or suprapubic aspiration. Patients meeting criteria for imaging should undergo a renal and bladder ultrasound, with further investigational imaging based on results of ultrasound or clinical history. Continuous antibiotic prophylaxis is controversial; however, evidence shows patients with high-grade VUR and bladder and bowel dysfunction retain the most benefit. Open surgical repair of reflux is the gold standard for patients who fail medical management with endoscopic approaches available for select populations.

Diagnostic Value of Urine Ribonuclease 7 (RNase 7) to Creatinine Ratio for Detecting Urinary Tract Infection in Children with Pyuria

Objective Ribonuclease 7 (RNase 7) is one of the members of the antimicrobial peptides playing a role in maintaining urinary tract sterility. We aimed to investigate the predictive value of the urine RNase 7 levels in children with pyuria and associations between RNase 7 and vesicoureteral reflux (VUR) and renal scarring.

Methods This study included 109 children with pyuria (46 febrile urinary tract infections [UTIs], 38 nonfebrile UTIs, and 25 sterile pyuria) whose RNase 7 levels were measured by enzyme-linked immunoassay. The results for urine RNase 7 concentrations were expressed as micrograms per milligrams creatinine.

Results RNase 7/Cr levels were higher in patients with both febrile and nonfebrile UTIs than the patients with sterile pyuria (p = 0.001). RNase 7/Cr had predictive values of diagnosis of febrile and nonfebrile UTIs (cut-off value: 2.92 µg/mg, p = 0.003; cut-off value: 3.67 µg/mg, p < 0.001, respectively). RNase 7/Cr had higher levels in the patients with VUR than without VUR (cut-off value: 4.28 µg/mg, p = 0.037). The patients with renal scarring had higher urine RNase 7/Cr than those without scarring (cut-off value: 4.54 µg/mg, p = 0.041).

Conclusion The evaluation of RNase 7/Cr may help prevent unnecessary and/or inappropriate antibiotic use in children with pyuria. The higher RNase 7 levels in patients with VUR and renal scarring may reflect long-term inflammation or greater inflammatory response during acute infection.

Risk Factors for the Development of Febrile Recurrences in Children with a History of Urinary Tract Infection

OBJECTIVE

To identify risk factors for febrile recurrence of urinary tract infections (UTIs) in children with a history of UTI.

STUDY DESIGN

We included 500 children aged 2-72 months with a history of UTI who were followed prospectively for approximately 2 years in the context of 2 previously conducted studies (Randomized Intervention for Children with Vesicoureteral Reflux and Careful Urinary Tract Infection Evaluation). We identified significant risk factors for febrile recurrences among children not receiving antimicrobial prophylaxis using univariate and multivariate logistic regression.

RESULT

On univariate analysis, non-Black race, febrile index UTI, bowel-bladder dysfunction, grade IV vesicoureteral reflux, renal scarring at baseline, and renal-bladder ultrasound abnormalities were associated with febrile recurrence. On multivariate analysis, the following variables independently increased the odds of febrile recurrences (OR; 95% CI): non-Black race (7.1; 1.5-127.9), bowel-bladder dysfunction (2.6; 1.1-5.3), febrile index UTI (2.5; 1.1-6.9), abnormalities on renal-bladder ultrasound scan (2.6; 1.2-5.6), grade IV vesicoureteral reflux (3.9; 1.4-10.5), and renal scarring at baseline (4.7; 1.2-19.1).

CONCLUSIONS

Non-Black race and grade IV vesicoureteral reflux increased the odds of febrile recurrence of UTI. Although our findings should stimulate other studies to further explore the relationship between race and UTIs, given that the link between race and UTI recurrence is unclear, race should not be used to make decisions regarding management of children with a UTI.

Impact of Diagnostic Criteria on UTI Prevalence in Young Infants With Jaundice: A Meta-analysis

BACKGROUND AND OBJECTIVE

Previously reported prevalence of urinary tract infections (UTIs) in infants with jaundice range from <1% to 25%. However, UTI criteria are variable and, as demonstrated in a meta-analysis on UTI prevalence in bronchiolitis, disease prevalence is greatly impacted by disease definition. The objective of this study was to conduct a systemic review and meta-analysis examining the impact of including positive urinalysis (UA) results as a diagnostic criterion on the estimated UTI prevalence in young infants with jaundice.

METHODS

The data sources used were Medline (1946-2020) and Ovid Embase (1976-2020) through January 2020 and bibliographies of retrieved articles. We selected studies reporting UTI prevalence in young infants with jaundice. Data were extracted in accordance with meta-analysis of observational studies in epidemiology guidelines. Random-effects models produced a weighted pooled event rate with 95% confidence intervals (CI).

RESULTS

We screened 526 unique articles by abstract and reviewed 53 full-text articles. We included 32 studies and 16 contained UA data. The overall UTI prevalence in young infants with jaundice from all 32 studies was 6.2% (95% CI, 3.9-8.9). From the 16 studies with UA data, the overall UTI prevalence was 8.7% (95% CI, 5.1-13.2), which decreased to 3.6% (95% CI, 2.0-5.8) with positive UA results included as a diagnostic criterion.

CONCLUSIONS

The estimated UTI prevalence in young infants with jaundice decreases substantially when UA results are incorporated into the UTI definition. Due to the heterogeneity of study subjects' ages and definitions of jaundice, positive UA results, and UTI, there is uncertainty about the exact prevalence and about which infants with hyperbilirubinemia warrant urine testing.

Prediction of Poststroke Urinary Tract Infection Risk in Immobile Patients Using Machine Learning: a observational cohort study

BACKGROUND

Urinary tract infection (UTI) is one of major nosocomial infections significantly affecting the outcomes of immobile stroke patients. Previous studies have identified several risk factors, but it's still challenging to accurately estimate personal UTI risk.

OBJECTIVES

We aimed to develop predictive models for UTI risk identification for immobile stroke patients.

METHODS

Research data were collected from our previous multi-centre study. Derivation cohort included 3982 immobile stroke patients collected from November 1, 2015 to June 30, 2016; external validation cohort included 3837 patients collected from November 1, 2016 to July 30, 2017. 6 machine learning models and an ensemble learning model were derived based on 80% of derivation cohort and effectiveness was evaluated with the remaining 20%. We used Shapley additive explanation values to determine feature importance and examine the clinical significance of prediction models.

RESULTS

2.59% (103/3982) patients were diagnosed with UTI in derivation cohort, 1.38% (53/3837) in external cohort. The ensemble learning model performed the best in area under the receiver operating characteristic (ROC) curve in internal validation (82.2%); second best in external validation (80.8%). In addition, the ensemble learning model performed the best sensitivity in both internal and external validation sets (80.9% and 81.1%, respectively). We also identified seven UTI risk factors (pneumonia, glucocorticoid use, female sex, mixed cerebrovascular disease, increased age, prolonged length of stay, and duration of catheterization).

CONCLUSIONS

Our ensemble learning model demonstrated promising performance. Future work should continue to develop a more concise scoring tool based on machine learning models and prospectively examining the model in practical use, thus improving clinical outcomes.

Clinical prediction rules for childhood UTIs: a cross-sectional study in ambulatory care

Background

Diagnosing childhood urinary tract infections (UTIs) is challenging. Clinical prediction rules may help to identify children that require urine sampling. However, there is a lack of research to determine the accuracy of the scores in general practice.

Aim

To validate clinical prediction rules (UTI Calculator [UTICalc], A Diagnosis of Urinary Tract Infection in Young Children [DUTY], and Gorelick score) for paediatric UTIs in primary care.

Design & setting

Post-hoc analysis of a cross-sectional study in 39 general practices and two emergency departments (EDs). The study took place in Belgium from March 2019–March 2020.

Method

Physicians recruited acutely ill children aged ≤18 years and sampled urine systematically for culture. Per rule, an apparent validation was performed, and sensitivities and specificities were calculated with 95% confidence intervals (CIs) per threshold in the target group. For the DUTY coefficient-based algorithm, a logistic calibration was performed and the area under the receiver operating characteristic curve (AUC) was calculated with 95% CI.

Results

Of 834 children aged ≤18 years recruited, there were 297 children aged <5 years. The UTICalc and Gorelick score had high-to-moderate sensitivity and low specificity: UTICalc (≥2%) 75% and 16%, respectively; Gorelick (≥2 variables) 91% and 8%, respectively. In contrast, the DUTY score ≥5 points had low sensitivity (8%) but high specificity (99%). Urine samples would be obtained in 72% versus 38% (UTICalc), 92% versus 38% (Gorelick) or 1% versus 32% (DUTY) of children, compared with routine care. The number of missed infections per score was 1/4 (UTICalc), 2/23 (Gorelick), and 24/26 (DUTY). The UTICalc + dipstick model had high sensitivity and specificity (100% and 91%), resulting in no missed cases and 59% (95% CI = 49% to 68%) of antibiotics prescribed inappropriately.

Conclusion

In this study, the UTICalc and Gorelick score were useful for ruling out UTI, but resulted in high urine sampling rates. The DUTY score had low sensitivity, meaning that 92% of UTIs would be missed.

Serum Calprotectin Is a Valid Biomarker in Distinction of Bacterial Urinary Tract Infection From Viral Respiratory Illness in Children Under 3 Years of Age

BACKGROUND

Febrile illnesses in young children can be a major diagnostic challenge, despite the routine use of various laboratory markers. Recent advancements in the understanding of inflammatory processes have highlighted the role of calprotectin, a heterodimer consisting of S100A8 and S100A9 proteins, with many studies suggesting its clinical value as a biomarker of inflammation. This research aimed to evaluate the usefulness of serum calprotectin (sCal) as a biomarker of urinary tract infection (UTI), which was due to its high pooled prevalence and feasibility of urine culture as a diagnostic reference standard selected for a model of bacterial infection in children.

METHODS

Febrile children aged 0-36 months with suspected UTI based on positive urinalysis or viral respiratory tract infection were included. Children with significant bacteriuria in urine culture were labeled as cases (n = 58), while those with confirmed viral infection (n = 51), as well as those with suspected UTI but sterile urine culture who went on to develop symptoms consistent with viral respiratory infection (n = 7), were labeled as controls. sCal levels were determined by a commercial immunoassay. Conventional inflammation markers (C-reactive protein, procalcitonin, white blood cell count, absolute neutrophil count, and neutrophil percentage) were measured on the day of the clinical examination. Differences in measured inflammatory markers between cases and controls were analyzed with Mann-Whitney U-test. ROC analysis reported cut-off values with the best sensitivity and specificity to distinguish bacterial UTI from viral respiratory infection.

RESULTS

All analyzed inflammatory biomarkers, including sCal, were significantly higher in cases than in controls. Median concentration of sCal was 4.97 μg/mL (IQR 3.43-6.42) and 2.45 μg/mL (IQR 1.63-3.85) for cases and controls, respectively (p < 0.001). For identifying bacterial UTI, sensitivity and specificity of sCal were 77.6 and 69.0%, respectively, at an adjusted cut-off point of >3.24 μg/mL (AUC 80.2%).

CONCLUSION

sCal could have substantial added value in the management of a child with fever and positive urinalysis and is a promising biomarker in distinction between bacterial UTI and viral respiratory causes of febrile illness in children under the age of 3 years.

A clinical prediction tool to predict urinary tract infection in pediatric febrile patients younger than 2 years old: a retrospective analysis of a fever registry

OBJECTIVE

Urinary tract infection (UTI) is a significant issue in young febrile patients due to potential long-term complications. Early detection of UTI is crucial in pediatric emergency departments (PEDs). We developed a tool to predict UTIs in children.

METHODS

Clinical data of patients <24 months of age with a fever and UTI or viral infection were extracted from the fever registry collected in two PEDs. Stepwise multivariate logistic regression was performed to establish predictors of identified eligible clinical variables for the derivation of the prediction model.

RESULTS

A total of 1,351 patients were included in the analysis, 643 patients from A hospital (derivation set) and 708 patients from B hospital (validation set). In the derivation set, there were more girls and a lower incidence of a past history of UTI, older age, less fever without source, and more family members with upper respiratory symptoms in the viral infection group. The stepwise regression analysis identified sex (uncircumcised male), age (≤12 months), a past history of UTI, and family members with upper respiratory symptoms as significant variables.

CONCLUSION

Young febrile patients in the PED were more likely to have UTIs if they were uncircumcised boys, were younger than 12 months of age, had a past history of UTIs, or did not have families with respiratory infections. This clinical prediction model may help determine whether to perform urinalysis in the PED.

Diagnostic value of biomarkers for paediatric urinary tract infections in primary care: systematic review and meta-analysis

Background

Accurate diagnosis of urinary tract infection is essential as children left untreated may suffer permanent renal injury.

Aim

To compare the diagnostic values of biomarkers or clinical prediction rules for urinary tract infections in children presenting to ambulatory care.

Design and setting

Systematic review and meta-analysis of ambulatory care studies.

Methods

Medline, Embase, WOS, CINAHL, Cochrane library, HTA and DARE were searched until 21 May 2021. We included diagnostic studies on urine or blood biomarkers for cystitis or pyelonephritis in children below 18 years of age. We calculated sensitivity, specificity and likelihood ratios. Data were pooled using a bivariate random effects model and a Hierarchical Summary Receiver Operating Characteristic analysis.

Results

Seventy-five moderate to high quality studies were included in this review and 54 articles in the meta-analyses. The area under the receiver-operating-characteristics curve to diagnose cystitis was 0.75 (95%CI 0.62 to 0.83, n = 9) for C-reactive protein, 0.71 (95% CI 0.62 to 0.80, n = 4) for procalcitonin, 0.93 (95% CI 0.91 to 0.96, n = 22) for the dipstick test (nitrite or leukocyte esterase ≥trace), 0.94 (95% CI 0.58 to 0.98, n = 9) for urine white blood cells and 0.98 (95% CI 0.92 to 0.99, n = 12) for Gram-stained bacteria. For pyelonephritis, C-reactive protein < 20 mg/l had LR- of 0.10 (95%CI 0.04–0.30) to 0.22 (95%CI 0.09–0.54) in children with signs suggestive of urinary tract infection.

Conclusions

Clinical prediction rules including the dipstick test biomarkers can support family physicians while awaiting urine culture results. CRP and PCT have low accuracy for cystitis, but might be useful for pyelonephritis.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12875-021-01530-9.

Clinical Features for the Diagnosis of Pediatric Urinary Tract Infections: Systematic Review and Meta-Analysis

PURPOSE

Accurate diagnosis of urinary tract infection in children is essential because children left untreated can experience permanent renal injury. We aimed to assess the diagnostic value of clinical features of pediatric urinary tract infection.

METHODS

We performed a systematic review and meta-analysis of diagnostic test accuracy studies in ambulatory care. We searched the PubMed, Embase, Web of Science, Cumulative Index to Nursing and Allied Health Literature, Cochrane Central Register of Controlled Trials, Health Technology Assessment, and Database of Abstracts of Reviews of Effects databases from inception to January 27, 2020 for studies reporting 2 × 2 diagnostic accuracy data for clinical features compared with urine culture in children aged <18 years. For each clinical feature, we calculated likelihood ratios and posttest probabilities of urinary tract infection. To estimate summary parameters, we conducted a bivariate random effects meta-analysis and hierarchical summary receiver operating characteristic analysis.

RESULTS

A total of 35 studies (N = 78,427 patients) of moderate to high quality were included, providing information on 58 clinical features and 6 prediction rules. Only circumcision (negative likelihood ratio [LR-] 0.24; 95% CI, 0.08-0.72; n = 8), stridor (LR- 0.20; 95% CI, 0.05-0.81; n = 1), and diaper rash (LR- 0.13; 95% CI, 0.02-0.92; n = 1) were useful for ruling out urinary tract infection. Body temperature or fever duration showed limited diagnostic value (area under the receiver operating characteristic curve 0.61; 95% CI, 0.47-0.73; n = 16). The Diagnosis of Urinary Tract Infection in Young Children score, Gorelick Scale score, and UTIcalc (https://uticalc.pitt.edu) might be useful to identify children eligible for urine sampling.

CONCLUSIONS

Few clinical signs and symptoms are useful for diagnosing or ruling out urinary tract infection in children. Clinical prediction rules might be more accurate; however, they should be validated externally. Physicians should not restrict urine sampling to children with unexplained fever or other features suggestive of urinary tract infection.

Neutrophil gelatinase-associated lipocalin for urinary tract infection and pyelonephritis: a systematic review

BACKGROUND

The sensitivity and specificity of the leukocyte esterase test are relatively low for a screening test for urinary tract infection (UTI). More accurate tests could reduce both overtreatment and missed cases. This study aimed to determine whether neutrophil gelatinase-associated lipocalin (NGAL) can replace leukocyte esterase in the diagnosis of UTI and/or whether NGAL accurately identifies children with acute pyelonephritis.

METHODS

Data sources-MEDLINE and EMBASE. We only considered published studies that evaluated the results of an index test (NGAL) against the results of urine culture (for UTI) or against the results of dimercaptosuccinic acid (for acute pyelonephritis) in children aged 0 to 18 years. Two authors independently applied the selection criteria to all citations and independently extracted the data.

RESULTS

A total of 12 studies met our inclusion criteria. Four studies (920 children) included data on NGAL for UTI; eight studies (580 children) included data on NGAL for pyelonephritis. We did not pool accuracy values because the included studies used different cutoff values. For the diagnosis of UTI, urinary NGAL appeared to have better accuracy than the leukocyte esterase test in all included studies. For the diagnosis of pyelonephritis, neither plasma NGAL nor urinary NGAL had high sensitivity and/or specificity. The number of studies was the main limitation of this systematic review.

CONCLUSIONS

Urinary NGAL appears promising for the diagnosis of UTI; however, larger studies are needed to validate this marker as a replacement for leukocyte esterase. The use of NGAL for diagnosing acute pyelonephritis requires further study.

The microbiome in urinary tract infections in children - an update

PURPOSE OF REVIEW

Urinary tract infection (UTI) is one of the most common pediatric infections worldwide. Recently introduced 16S rRNA sequencing allows detailed identification of bacteria involved in UTI on a species-based level. The urogenital microbiome in children is scarcely investigated, with underlying conditions differing from adults. Improvement in diagnostic and therapeutic approaches can help to minimize unnecessary antibiotic treatments, thereby protecting the physiological microbiome.

RECENT FINDINGS

Healthy bladders of children display a distinct microbiome than those of adults. UTI is characterized by changes in bacterial composition, with a high prevalence of Enterobacterales. There is a correlation between bacterial species and the pH of the urine, so a characteristic age-related pathogen pattern can be found due to the acidic urine in infants and more alkaline urine in older children. Recently, new methods were proposed to overcome the suboptimal diagnostic performance of urine cultures and urine dipstick test. This allows precise treatment decisions and helps to prevent chronification of UTI, related voiding dysfunctions and renal scaring, systemic abiosis, and the development of antibiotic resistance.

SUMMARY

Uropathogens involved in UTIs in children should be identified with precision to allow targeted therapeutic decisions. This can also help preventing the destruction of the microbiome homeostasis, which could result in a life-long dysbiosis. New treatment approaches and recolonization with probiotics are necessary due to increasing intrinsic antibiotic resistance of bacteria.

Pyelonephritis in Pediatric Uropathic Patients: Differences from Community-Acquired Ones and Therapeutic Protocol Considerations. A 10-Year Single-Center Retrospective Study

Pyelonephritis (PN) represents an important cause of morbidity in the pediatric population, especially in uropathic patients. The aim of the study is to demonstrate differences between PNs of uropathic patients and PNs acquired in community in terms of uropathogens involved and antibiotic sensitivity; moreover, to identify a proper empiric therapeutic strategy. A retrospective study was conducted on antibiograms on urine cultures from PNs in vesicoureteral reflux (VUR) patients admitted to pediatric surgery department and from PNs in not VUR patients admitted to Pediatric Emergency Unit between 2010 and 2020. We recorded 58 PNs in 33 patients affected by VUR and 112 PNs in the not VUR group. The mean age of not VUR patients at the PN episode was 1.3 ± 2.6 years (range: 20 days of life–3 years), and almost all the urine cultures, 111 (99.1%), isolated Gram-negative bacteria and rarely, 1 (0.9%), Gram-positive bacteria. The Gram-negative uropathogens isolated were Escherichia coli (97%), Proteus mirabilis (2%), and Klebsiella spp. (1%). The only Gram-positive bacteria isolated was an Enterococcus faecalis. As regards the antibiograms, 96% of not VUR PNs responded to beta-lactams, 99% to aminoglycosides, and 80% to sulfonamides. For the VUR group, mean age was 3.0 years ± 3.0 years (range: 9 days of life–11 years) and mean number of episodes per patient was 2.0 ± 1.0 (range: 1–5); 83% of PNs were by Gram-negatives bacteria vs. 17% by Gram-positive: the most important Gram-negative bacteria were Pseudomonas aeruginosa (44%), Escherichia coli (27%), and Klebsiella spp. (12%), while Enterococcus spp. determined 90% of Gram-positive UTIs. Regimen ampicillin/ceftazidime (success rate: 72.0%) was compared to ampicillin/amikacin (success rate of 83.0%): no statistically significant difference was found (p = 0.09). The pathogens of PNs in uropathic patients are different from those of community-acquired PNs, and clinicians should be aware of their peculiar antibiotic susceptibility. An empiric therapy based on the association ampicillin + ceftazidime is therefore suggested.

Outpatient Urinary Tract Infections in an Era of Virtual Healthcare: Trends From 2008 to 2017

BACKGROUND

Urinary tract infections (UTIs) occur commonly, but recent data on UTI rates are scarce. It is unknown how the growth of virtual healthcare delivery affects outpatient UTI management and trends in the United States.

METHODS

From 1 January 2008 to 31 December 2017, UTIs from outpatient settings (office, emergency, and virtual visits) were identified from electronic health records at Kaiser Permanente Southern California using multiple UTI definitions. Annual rates estimated by Poisson regression were stratified by sex, care setting, age, and race/ethnicity. Annual trends were estimated by linear or piecewise Poisson regression.

RESULTS

UTIs occurred in 1 065 955 individuals. Rates per 1000 person-years were 53.7 (95% confidence interval [CI], 50.6-57.0) by diagnosis code with antibiotic and 25.8 (95% CI, 24.7-26.9) by positive culture. Compared to office and emergency visits, UTIs were increasingly diagnosed in virtual visits, where rates by diagnosis code with antibiotic increased annually by 21.2% (95% CI, 16.5%-26.2%) in females and 29.3% (95% CI, 23.7%-35.3%) in males. Only 32% of virtual care diagnoses had a culture order. Overall, UTI rates were highest and increased the most in older adults. Rates were also higher in Hispanic and white females and black and white males.

CONCLUSIONS

Outpatient UTI rates increased from 2008 to 2017, especially in virtual care and among older adults. Virtual care is important for expanding access to health services, but strategies are needed in all outpatient care settings to ensure accurate UTI diagnosis and reduce inappropriate antibiotic treatment.

Contemporary Management of Urinary Tract Infection in Children

Urinary tract infection (UTI) is common in children, and girls are at a significantly higher risk, as compared to boys, except in early infancy. Most cases are caused by Escherichia coli Collection of an uncontaminated urine specimen is essential for accurate diagnosis. Oral antibiotic therapy for 7 to 10 days is adequate for uncomplicated cases that respond well to the treatment. A renal ultrasound examination is advised in all young children with first febrile UTI and in older children with recurrent UTI. Most children with first febrile UTI do not need a voiding cystourethrogram; it may be considered after the first UTI in children with abnormal renal and bladder ultrasound examination or a UTI caused by atypical pathogen, complex clinical course, or known renal scarring. Long-term antibiotic prophylaxis is used selectively in high-risk patients. Few patients diagnosed with vesicoureteral reflux after a UTI need surgical correction. The most consequential long-term complication of acute pyelonephritis is renal scarring, which may increase the risk of hypertension or chronic kidney disease later in life. Treatment of acute pyelonephritis with an appropriate antibiotic within 48 hours of fever onset and prevention of recurrent UTI lowers the risk of renal scarring. Pathogens causing UTI are increasingly becoming resistant to commonly used antibiotics, and their indiscriminate use in doubtful cases of UTI must be discouraged.

Predicting Urinary Tract Infections With Interval Likelihood Ratios

BACKGROUND

Protocols for diagnosing urinary tract infection (UTI) often use arbitrary cutoff values of urinalysis components to guide management. Interval likelihood ratios (ILRs) of urinalysis results may improve the test's precision in predicting UTIs. We calculated the ILR of urinalysis components to estimate the posttest probabilities of UTIs in young children.

METHODS

Review of 2144 visits to the pediatric emergency department of an urban academic hospital from December 2011 to December 2019. Inclusion criteria were age <2 years and having a urinalysis and urine culture sent. ILR boundaries for hemoglobin, protein, and leukocyte esterase were "negative," "trace," "1+," "2+" and "3+." Nitrite was positive or negative. Red blood cells and white blood cells (WBCs) were 0 to 5, 5 to 10, 10 to 20, 20 to 50, 50 to 100, and 100 to 250. Bacteria counts ranged from negative to "loaded." ILRs for each component were calculated and posttest probabilities for UTI were estimated.

RESULTS

The UTI prevalence was 9.2%, with the most common pathogen being Escherichia coli (75.2%). The ILR for leukocyte esterase ranged from 0.20 (negative) to 37.68 (3+) and WBCs ranged from 0.24 (0-5 WBCs) to 47.50 (100-250 WBCs). The ILRs for nitrites were 0.76 (negative) and 25.35 (positive). The ILR for negative bacteria on urinalysis was 0.26 and 14.04 for many bacteria.

CONCLUSIONS

The probability of UTI in young children significantly increases with 3+ leukocyte esterase, positive nitrite results, 20 to 50 or higher WBCs, and/or many or greater bacteria on urinalysis. The probability of UTI only marginally increases with trace or 1+ leukocyte esterase or 5 to 20 WBCs. Our findings can be used to more accurately predict the probability of true UTI in children.

Machine Learning To Predict Serious Bacterial Infections in Young Febrile Infants

BACKGROUND

Recent decision rules for the management of febrile infants support the identification of infants at higher risk of serious bacterial infections (SBIs) without the performance of routine lumbar puncture. We derive and validate a model to identify febrile infants ≤60 days of age at low risk for SBIs using supervised machine learning approaches.

METHODS

We conducted a secondary analysis of a multicenter prospective study performed between December 2008 and May 2013 of febrile infants. Our outcome was SBI, (culture-positive urinary tract infection, bacteremia, and/or bacterial meningitis). We developed and validated 4 supervised learning models: logistic regression, random forest, support vector machine, and a single-hidden layer neural network.

RESULTS

A total of 1470 patients were included (1014 >28 days old). One hundred thirty-eight (9.3%) had SBIs (122 urinary tract infections, 20 bacteremia, and 8 meningitis; 11 with concurrent SBIs). Using 4 features (urinalysis, white blood cell count, absolute neutrophil count, and procalcitonin), we demonstrated with the random forest model the highest specificity (74.9, 95% confidence interval: 71.5%-78.2%) with a sensitivity of 98.6% (95% confidence interval: 92.2%-100.0%) in the validation cohort. One patient with bacteremia was misclassified. Among 1240 patients who received a lumbar puncture, this model could have prevented 849 (68.5%) such procedures.

CONCLUSIONS

We derived and internally validated a supervised learning model for the risk-stratification of febrile infants. Although computationally complex, lacking parameter cutoffs, and in need of external validation, this strategy may allow for reductions in unnecessary procedures, hospitalizations, and antibiotics while maintaining excellent sensitivity.