Sepsis Huddles in the Neonatal Intensive Care Unit: A Retrospective Cohort Study of Late-onset Infection Recognition and Severity Assessment.

OBJECTIVE: To analyze relationships between provider-documented signs prompting sepsis evaluations, assessments of illness severity, and late-onset infection (LOI). STUDY DESIGN: Retrospective cohort study of all infants receiving a sepsis huddle in conjunction with a LOI evaluation. Participants were ≥3 days old and admitted to a level IV neonatal intensive care unit (NICU) from September 2018 through May 2021. Data were extracted from standardized sepsis huddle notes in the electronic health record, including clinical signs prompting LOI evaluations, illness severity assessments (from least to most severe: green, yellow, and red), and management plans. To analyze relationships of sepsis huddle characteristics with the detection of culture-confirmed LOI (bacteremia, urinary tract infection, or meningitis), we utilized diagnostic test statistics, area under the receiver-operator characteristic analyses, and multivariable logistic regression. RESULTS: We identified 1209 eligible sepsis huddles among 604 infants. There were 111 culture-confirmed LOI episodes (9% of all huddles). Twelve clinical signs of infection poorly distinguished infants with and without LOI, with sensitivity for each ranging from 2% to 36% and area under the receiver-operator characteristic ranging 0.49-0.53. Multivariable logistic regression identified increasing odds of infection with higher perceived illness severity at the time of sepsis huddle, adjusted for gestational age and receipt of intensive care supports. CONCLUSIONS: Clinical signs prompting sepsis huddles were nonspecific and not predictive of concurrent LOI. Higher perceived illness severity was associated with presence of infection, despite some misclassification based on objective criteria. In level IV NICUs, antimicrobial stewardship through development of criteria for antibiotic noninitiation may be challenging, as presenting signs of LOI are similar among infants with and without confirmed infection.

Dual-site blood culture yield and time to positivity in neonatal late-onset sepsis.

OBJECTIVE: To determine whether culture yield and time to positivity (TTP) differ between peripheral and central vascular catheter-derived blood cultures (BCx) in neonatal intensive care unit (NICU) patients evaluated for late-onset sepsis. DESIGN: Single-centre, retrospective, observational study. SETTING: Level IV NICU. PARTICIPANTS: The study included infants >72 hours old admitted to NICU in 2007-2019 with culture-confirmed bacteraemia. All episodes had simultaneous BCx drawn from a peripheral site and a vascular catheter ('catheter culture'). MAIN OUTCOME MEASURES: Dual-site culture yield and TTP. RESULTS: Among 179 episodes of late-onset bacteraemia (among 167 infants) with concurrently drawn peripheral and catheter BCx, the majority (67%, 120 of 179) were positive from both sites, compared with 17% (30 of 179) with positive catheter cultures only and 16% (29 of 179) with positive peripheral cultures only. 66% (19 of 29) of episodes with only positive peripheral BCx grew coagulase-negative Staphylococcus, while 34% (10 of 29) were recognised bacterial pathogens. Among 120 episodes with both peripheral and catheter BCx growth, catheter cultures demonstrated bacterial growth prior to paired peripheral cultures in 78% of episodes (93 of 120, p<0.001). The median TTP was significantly shorter in catheter compared with peripheral cultures (15.0 hours vs 16.8 hours, p<0.001). The median elapsed time between paired catheter and peripheral culture growth was 1.3 hours. CONCLUSION: Concurrently drawn peripheral and catheter BCx had similar yield. While a majority of episodes demonstrated dual-site BCx growth, a small but important minority of episodes grew virulent pathogens from either culture site alone. While dual-site culture practices may be useful, clinicians should balance the gain in sensitivity of bacteraemia detection against additive contamination risk.

Acute Kidney Injury Associated with Late-Onset Neonatal Sepsis: A Matched Cohort Study.

OBJECTIVES: To determine incidence and severity of acute kidney injury (AKI) within 7 days of sepsis evaluation and to assess AKI duration and the association between AKI and 30-day mortality. STUDY DESIGN: Retrospective, matched cohort study in a single-center level IV neonatal intensive care unit. Eligible infants underwent sepsis evaluations at ≥72 hours of age during calendar years 2013-2018. Exposed infants (cases) were those with culture-proven sepsis and antimicrobial duration ≥5 days. Nonexposed infants (controls) were matched 1:1 to exposed infants based on gestational and corrected gestational age, and had negative sepsis evaluations with antibiotic durations <48 hours. AKI was defined by modified neonatal Kidney Disease Improving Global Outcomes criteria. Statistical analysis included Mann-Whitney and χ2 tests, multivariable logistic regression, and Kaplan-Meier time-to-event analysis. RESULTS: Among 203 episodes of late-onset sepsis, 40 (20%) developed AKI within 7 days after evaluation, and among 193 episodes with negative cultures, 16 (8%) resulted in AKI (P = .001). Episodes of sepsis also led to greater AKI severity, compared with nonseptic episodes (P = .007). The timing of AKI onset and AKI duration did not differ between groups. Sepsis was associated with increased odds of developing AKI (aOR, 3.0; 95% CI, 1.5-6.2; P = .002). AKI was associated with increased 30-day mortality (aOR, 4.5; 95% CI, 1.3-15.6; P = .017). CONCLUSIONS: Infants with late-onset sepsis had increased odds of AKI and greater AKI severity within 7 days of sepsis evaluation, compared with age-matched infants without sepsis. AKI was independently associated with increased 30-day mortality. Strategies to mitigate AKI in critically ill neonates with sepsis may improve outcomes.

Performance of Pediatric Systemic Inflammatory Response Syndrome and Organ Dysfunction Criteria in Late-Onset Sepsis in a Quaternary Neonatal Intensive Care Unit: A Case-Control Study.

OBJECTIVES: To evaluate accuracy of systemic inflammatory response syndrome (SIRS) criteria in identifying culture-proven late-onset neonatal sepsis and to assess prevalence of organ dysfunction and its relationship with SIRS criteria. STUDY DESIGN: This was a retrospective case-control study of patients in the Children's Hospital of Philadelphia level IV neonatal intensive care unit undergoing sepsis evaluations (concurrent blood culture and antibiotics). During calendar years 2016-2017, 77 case and 77 control sepsis evaluations were identified. Cases included infants who had sepsis evaluations with positive blood cultures and antibiotic duration ≥7 days. Controls were matched by gestational and postmenstrual age, and had sepsis evaluations with negative blood cultures and antibiotic duration ≤48 hours. SIRS criteria were determined at time of sepsis evaluation, and organ dysfunction evaluated in the 72 hours following sepsis evaluation. Statistical analysis included descriptive statistics, Mann-Whitney tests, and χ2 (Fisher exact) tests. RESULTS: At time of sepsis evaluation, 42% of cases and 26% of controls met SIRS criteria. Among infants of ≤37 weeks postmenstrual age, SIRS criteria were met in only 17% of sepsis evaluations (4 of 23 in both cases and controls). Test characteristics for SIRS at diagnosis of culture-proven sepsis included sensitivity 42% and specificity 74%. Cases had higher rates of new organ dysfunction within 72 hours (40% vs 21%); however, 58% of cases developing organ dysfunction did not meet SIRS criteria at time of sepsis evaluation. Of 6 deaths (all cases with organ dysfunction), 2 did not meet SIRS criteria at sepsis evaluation. CONCLUSIONS: SIRS criteria did not accurately identify culture-proven late-onset sepsis, with poorest accuracy in preterm infants. SIRS criteria did not predict later organ dysfunction or mortality.

Surviving Sepsis in a Referral Neonatal Intensive Care Unit: Association between Time to Antibiotic Administration and In-Hospital Outcomes.

OBJECTIVE: To determine if time to antibiotic administration is associated with mortality and in-hospital outcomes in a neonatal intensive care unit (NICU) population. STUDY DESIGN: We conducted a prospective evaluation of infants with suspected sepsis between September 2014 and February 2018; sepsis was defined as clinical concern prompting blood culture collection and antibiotic administration. Time to antibiotic administration was calculated from time of sepsis identification, defined as the order time of either blood culture or an antibiotic, to time of first antibiotic administration. We used linear models with generalized estimating equations to determine the association between time to antibiotic administration and mortality, ventilator-free and inotrope-free days, and NICU length of stay in patients with culture-proven sepsis. RESULTS: Among 1946 sepsis evaluations, we identified 128 episodes of culture-proven sepsis in 113 infants. Among them, prolonged time to antibiotic administration was associated with significantly increased risk of mortality at 14 days (OR, 1.47; 95% CI, 1.15-1.87) and 30 days (OR, 1.47; 95% CI, 1.11-1.94) as well as fewer inotrope-free days (incidence rate ratio, 0.91; 95% CI, 0.84-0.98). No significant associations with ventilator-free days or NICU length of stay were demonstrated. CONCLUSIONS: Among infants with sepsis, delayed time to antibiotic administration was an independent risk factor for death and prolonged cardiovascular dysfunction. Further study is needed to define optimal timing of antimicrobial administration in high-risk NICU populations.

Neonatal sepsis registry: Time to antibiotic dataset.

This article describes the process of extracting electronic health record (EHR) data into a format that supports analyses related to the timeliness of antibiotic administration. The de-identified data that accompanies this article were collected from a cohort of infants who were evaluated for possible sepsis in the Neonatal Intensive Care Unit (NICU) at the Children's Hospital of Philadelphia (CHOP). The interpretation of findings from these data are reported in a separate manuscript [1]. For purposes of illustration for interested readers, scripts written in the R programming language related to the creation and use of the dataset have also been provided. Interested researchers are encouraged to contact the research team to discuss opportunities for collaboration.

Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data.

BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagnosis remains challenging due to complex presentation. Our objective was to develop a model using readily available electronic health record (EHR) data capable of recognizing infant sepsis at least 4 hours prior to clinical recognition. METHODS AND FINDINGS: We performed a retrospective case control study of infants hospitalized ≥48 hours in the Neonatal Intensive Care Unit (NICU) at the Children's Hospital of Philadelphia between September 2014 and November 2017 who received at least one sepsis evaluation before 12 months of age. We considered two evaluation outcomes as cases: culture positive-positive blood culture for a known pathogen (110 evaluations); and clinically positive-negative cultures but antibiotics administered for ≥120 hours (265 evaluations). Case data was taken from the 44-hour window ending 4 hours prior to evaluation. We randomly sampled 1,100 44-hour windows of control data from all times ≥10 days removed from any evaluation. Model inputs consisted of up to 36 features derived from routine EHR data. Using 10-fold nested cross-validation, 8 machine learning models were trained to classify inputs as sepsis positive or negative. When tasked with discriminating culture positive cases from controls, 6 models achieved a mean area under the receiver operating characteristic (AUC) between 0.80-0.82 with no significant differences between them. Including both culture and clinically positive cases, the same 6 models achieved an AUC between 0.85-0.87, again with no significant differences. CONCLUSIONS: Machine learning models can identify infants with sepsis in the NICU hours prior to clinical recognition. Learning curves indicate model improvement may be achieved with additional training examples. Additional input features may also improve performance. Further research is warranted to assess potential performance improvements and clinical efficacy in a prospective trial.

Neonatal Meningitis: Overcoming Challenges in Diagnosis, Prognosis, and Treatment with Omics.

Neonatal meningitis is a devastating condition. Prognosis has not improved in decades, despite the advent of improved antimicrobial therapy and heightened index of suspicion among clinicians caring for affected infants. One in ten infants die from meningitis, and up to half of survivors develop significant lifelong complications, including seizures, impaired hearing and vision, and delayed or arrested development of such basic skills as talking and walking. At present, it is not possible to predict which infants will suffer poor outcomes. Early treatment is critical to promote more favorable outcomes, though diagnosis of meningitis in infants is technically challenging, time-intensive, and invasive. Profound neuronal injury has long been described in the setting of neonatal meningitis, as has elevated levels of many pro- and anti-inflammatory cytokines. Mechanisms of the host immune response that drive clearance of the offending organism and underlie brain injury due to meningitis are not well understood, however. In this review, we will discuss challenges in diagnosis, prognosis, and treatment of neonatal meningitis. We will highlight transcriptomic, proteomic, and metabolomic data that contribute to suggested mechanisms of inflammation and brain injury in this setting with a view toward fruitful areas for future investigation.

A data-driven algorithm integrating clinical and laboratory features for the diagnosis and prognosis of necrotizing enterocolitis.

BACKGROUND: Necrotizing enterocolitis (NEC) is a major source of neonatal morbidity and mortality. Since there is no specific diagnostic test or risk of progression model available for NEC, the diagnosis and outcome prediction of NEC is made on clinical grounds. The objective in this study was to develop and validate new NEC scoring systems for automated staging and prognostic forecasting. STUDY DESIGN: A six-center consortium of university based pediatric teaching hospitals prospectively collected data on infants under suspicion of having NEC over a 7-year period. A database comprised of 520 infants was utilized to develop the NEC diagnostic and prognostic models by dividing the entire dataset into training and testing cohorts of demographically matched subjects. Developed on the training cohort and validated on the blind testing cohort, our multivariate analyses led to NEC scoring metrics integrating clinical data. RESULTS: Machine learning using clinical and laboratory results at the time of clinical presentation led to two nec models: (1) an automated diagnostic classification scheme; (2) a dynamic prognostic method for risk-stratifying patients into low, intermediate and high NEC scores to determine the risk for disease progression. We submit that dynamic risk stratification of infants with NEC will assist clinicians in determining the need for additional diagnostic testing and guide potential therapies in a dynamic manner. ALGORITHM AVAILABILITY: http://translationalmedicine.stanford.edu/cgi-bin/NEC/index.pl and smartphone application upon request.

Urine protein biomarkers for the diagnosis and prognosis of necrotizing enterocolitis in infants.

OBJECTIVES: To test the hypothesis that an exploratory proteomics analysis of urine proteins with subsequent development of validated urine biomarker panels would produce molecular classifiers for both the diagnosis and prognosis of infants with necrotizing enterocolitis (NEC). STUDY DESIGN: Urine samples were collected from 119 premature infants (85 NEC, 17 sepsis, 17 control) at the time of initial clinical concern for disease. The urine from 59 infants was used for candidate biomarker discovery by liquid chromatography/mass spectrometry. The remaining 60 samples were subject to enzyme-linked immunosorbent assay for quantitative biomarker validation. RESULTS: A panel of 7 biomarkers (alpha-2-macroglobulin-like protein 1, cluster of differentiation protein 14, cystatin 3, fibrinogen alpha chain, pigment epithelium-derived factor, retinol binding protein 4, and vasolin) was identified by liquid chromatography/mass spectrometry and subsequently validated by enzyme-linked immunosorbent assay. These proteins were consistently found to be either up- or down-regulated depending on the presence, absence, or severity of disease. Biomarker panel validation resulted in a receiver-operator characteristic area under the curve of 98.2% for NEC vs sepsis and an area under the curve of 98.4% for medical NEC vs surgical NEC. CONCLUSIONS: We identified 7 urine proteins capable of providing highly accurate diagnostic and prognostic information for infants with suspected NEC. This work represents a novel approach to improving the efficiency with which we diagnose early NEC and identify those at risk for developing severe, or surgical, disease.

A novel urine peptide biomarker-based algorithm for the prognosis of necrotising enterocolitis in human infants.

OBJECTIVE: Necrotising enterocolitis (NEC) is a major source of neonatal morbidity and mortality. The management of infants with NEC is currently complicated by our inability to accurately identify those at risk for progression of disease prior to the development of irreversible intestinal necrosis. We hypothesised that integrated analysis of clinical parameters in combination with urine peptide biomarkers would lead to improved prognostic accuracy in the NEC population. DESIGN: Infants under suspicion of having NEC (n=550) were prospectively enrolled from a consortium consisting of eight university-based paediatric teaching hospitals. Twenty-seven clinical parameters were used to construct a multivariate predictor of NEC progression. Liquid chromatography/mass spectrometry was used to profile the urine peptidomes from a subset of this population (n=65) to discover novel biomarkers of NEC progression. An ensemble model for the prediction of disease progression was then created using clinical and biomarker data. RESULTS: The use of clinical parameters alone resulted in a receiver-operator characteristic curve with an area under the curve of 0.817 and left 40.1% of all patients in an 'indeterminate' risk group. Three validated urine peptide biomarkers (fibrinogen peptides: FGA1826, FGA1883 and FGA2659) produced a receiver-operator characteristic area under the curve of 0.856. The integration of clinical parameters with urine biomarkers in an ensemble model resulted in the correct prediction of NEC outcomes in all cases tested. CONCLUSIONS: Ensemble modelling combining clinical parameters with biomarker analysis dramatically improves our ability to identify the population at risk for developing progressive NEC.

Clinical features of three girls with mosaic genome-wide paternal uniparental isodisomy.

Here we describe three subjects with mosaic genome-wide paternal uniparental isodisomy (GWpUPD) each of whom presented initially with overgrowth, hemihyperplasia (HH), and hyperinsulinism (HI). Due to the severity of findings and the presence of additional features, SNP array testing was performed, which demonstrated mosaic GWpUPD. Comparing these individuals to 10 other live-born subjects reported in the literature, the predominant phenotype is that of pUPD11 and notable for a very high incidence of tumor development. Our subjects developed non-metastatic tumors of the adrenal gland, kidney, and/or liver. All three subjects had pancreatic hyperplasia resulting in HI. Notably, our subjects to date display minimal features of other diseases associated with paternal UPD loci. Both children who survived the neonatal period have displayed near-normal cognitive development, likely due to a favorable tissue distribution of the mosaicism. To understand the range of UPD mosaicism levels, we studied multiple tissues using SNP array analysis and detected levels of 5-95%, roughly correlating with the extent of tissue involvement. Given the rapidity of tumor growth and the difficulty distinguishing malignant and benign tumors in these GWpUPD subjects, we have utilized increased frequency of ultrasound (US) and alpha-fetoprotein (AFP) screening in the first years of life. Because of a later age of onset of additional tumors, continued tumor surveillance into adolescence may need to be considered in these rare patients.

Do pediatric fellows recognize the importance and contribution of training to mastery of the general competencies?

BACKGROUND: Six general competencies form the framework for accreditation of postgraduate fellowship programs and maintenance of certification for physician specialists. Fellows' perceptions of these competencies, however, remain unexplored. AIMS: To examine fellows' perceptions of the importance of the competencies to medical education and the contribution of fellowship training to mastery of the competencies, and to explore the alignment of the competencies with critical learning experiences. METHODS: Semi-structured interviews were conducted with 20 pediatric fellows in five divisions at one institution. Fellows recounted critical learning experiences, rated each competency for importance and contribution of training, and explained their ratings. Interviews were analyzed using standard qualitative methods. RESULTS: Fellows assigned high ratings to medical knowledge and patient care for importance and contribution of training to mastery, referring to these competencies as 'staples of training'. They rated interpersonal and communication skills and professionalism higher for importance than contribution of training, viewing them as inherent traits or learned before fellowship. Fellows were unfamiliar with practice-based learning and improvement and systems-based practice and typically perceived them as secondary to training. Descriptions of critical learning experiences substantiated competency ratings for medical knowledge and patient care, but not practice-based learning and improvement. CONCLUSIONS: Fellows perceive traditional knowledge and skills of medical practice as fundamental to postgraduate training, but other competencies as less central.

Cytokine elaboration in critically ill infants with bacterial sepsis, necrotizing entercolitis, or sepsis syndrome: correlation with clinical parameters of inflammation and mortality.

OBJECTIVE: To test the hypothesis that cytokines might distinguish critically ill infants with bacterial sepsis or necrotizing enterocolitis (NEC) from those with sepsis syndrome and that these elevations would be correlated with clinical variables of inflammation and mortality. STUDY DESIGN: We measured plasma and tracheal aspirate (TA) levels of interleukin-8 (IL-8), epithelial neutrophil activating peptide (ENA-78), IL-10, and IL-18 in 84 neonates with suspected sepsis or NEC. Thirty-one infants had bacterial sepsis, 19 had NEC, and 34 infants with negative results on cultures had sepsis syndrome. RESULTS: Plasma IL-8 and IL-10 levels were significantly increased in infants with bacterial sepsis compared with those in infants with sepsis syndrome. Plasma IL-8, ENA-78, and IL-10 levels were elevated in infants with NEC compared with those in infants with sepsis syndrome. TA IL-8 and IL-10 levels were also increased in infants with bacterial sepsis; TA ENA-78, and IL-18 were not elevated in infants with sepsis or NEC when compared with infants with sepsis syndrome. Plasma and TA cytokine levels correlated with hematologic parameters. Plasma cytokine levels were higher in infants who did not survive than in infants who did survive. CONCLUSIONS: Plasma and TA cytokine levels are elevated in critically ill infants with bacterial sepsis or NEC compared with those in infants with sepsis syndrome. Our results suggest distinct patterns of cytokine elaboration in different disease states.

The impact of the interview in pediatric residency selection.

OBJECTIVE: To better understand the impact of USMLE scores and interview scores on the National Resident Matching Program (NRMP) rank of applicants to the residency program at The Children's Hospital of Philadelphia. METHODOLOGY: We evaluated 935 applicants' files from 2000, 2001, and 2002. For each candidate, one interviewer had access to the full application, while the other interviewer was blinded to USMLE scores and grades. Interview scores were generated by both interviewers. Statistical analysis was performed to evaluate relationships between USMLE scores, interview scores, and NRMP rank list number. RESULTS: There were a wide range of USMLE scores among candidates who interviewed (range 181 to 269, 227.7 +/- 17.1, M +/- standard deviation). USMLE scores were weakly correlated to nonblinded interview scores (r = -0.17), final committee scores (r = -0.26), and NRMP ranking (r = -0.21): P < .0005. Blinded interviews did not correlate with USMLE scores. Both nonblinded and blinded interviews had stronger correlations with NRMP rank list number (r = 0.49, P < .0005 and r = 0.36, P < .0005, respectively). The nonblinded interview accounted for 20.6% of variance in the NRMP rank list order. CONCLUSIONS: Interview scores were the most important variable for candidate ranking on the NRMP list. Furthermore, when interviewers had access to board scores, there was a modest correlation to performance on the USMLE. While interviews may reflect a candidate's personality, they may not effectively measure desired characteristics when access to academic markers is unrestricted. We suggest incorporating blinded interviews into the selection process to give candidates a better opportunity to display communication skills, emotional stability, and "fit" for the program.

General vs subspecialty pediatrics: factors leading to residents' career decisions over a 12-year period.

OBJECTIVES: To determine factors motivating residents' career choices and to examine changes in these priorities over the last 12 years. During the last decade, surveys of pediatric training programs have shown trends toward residents choosing careers in general pediatrics rather than in subspecialties. Most recently, there is evidence of a shift back toward subspecialty careers. DESIGN: We surveyed past and present residents at The Children's Hospital of Philadelphia, Philadelphia, Pa, (training completion dates, 1991-2002) via an anonymous written questionnaire. RESULTS: The sample comprised 238 residents (mean +/- SD age, 30 +/- 3 years; 59% female, 41% male; 47% subspecialists, 53% generalists). Among the group as a whole, subject matter, role models, lifestyle issues, and teaching were the most important determinants for career choices. Less important were national trends, job openings, and research. When subspecialists and generalists were compared, both groups found subject matter to be their highest priority. Among residents interested in subspecialties, teaching, research, and technical skills were significant (P<.001), compared with generalists, who considered lifestyle and personal/financial issues more important (P<.001). Lifestyle issues were also more important to female residents, those 30 years of age or younger, and those completing training recently (P<.05). CONCLUSIONS: Career decisions for pediatric residents today are motivated by complex factors. For those choosing generalist careers, lifestyle and personal/financial considerations predominate, while teaching, research, and technical skills are key factors for subspecialists. Over the last decade, lifestyle issues have become a more dominant factor, particularly for women entering the pediatric workforce.

Acute, severe bilirubin encephalopathy in a newborn.

In recent years, changes in health care practices including the early discharge of newborns have transformed the management of neonatal jaundice into an outpatient problem. At the same time, there has been a resurgence in the incidence of kernicterus. We report the case of a term male infant who presented to our emergency department at 4 days of age with severe jaundice and who subsequently died with autopsy findings of kernicterus. We review the infant's presentation and hospital course, diagnostic and therapeutic interventions, and autopsy findings. In the current era of increased frequency of breast-feeding, shortened hospital stays, and inconsistent follow-up after hospital discharge, emergency department physicians should be alerted to the rare but increasing occurrence of severe hyperbilirubinemia and kernicterus.