Utilization of a Neonatal Early-Onset Sepsis Calculator to Guide Initial Newborn Management

Variation in NICU utilization: a narrative review and path forward

Utilization of the Neonatal Intensive Care Unit (NICU) varies widely in the United States. Over recent decades, there has been a growth in NICUs, that varies by region, and has not been correlated to changes in demand or illness severity. Unnecessary NICU admissions are costly, stressful to families, may increase the risk of hospital acquired morbidities, and decrease breast feeding. Most of the variation in NICU utilization is based on the care of late preterm, early term, and term babies and is related to hospital level factors, including financial incentives, driving utilization. Improvement strategies to reduce variation include regionalization of care, certificate of need legislation, improving discharge processes, and caring for babies with some conditions such as Neonatal Opioid Withdrawal Syndrome or those with risk factors for sepsis outside of the NICU.

Agreement between an Early-Onset Neonatal Sepsis Risk Calculator and the Colombian Clinical Practice Guideline in Three Tertiary-Care Centers in Bogotá, Colombia

OBJECTIVE

Clinical practice guidelines (CPG) worldwide help steer the management of early-onset neonatal sepsis (EONS). These documents typically discourage the use of risk assessment tools. However, prior work has shown that the Kaiser Permanente calculator (Early-Onset Sepsis Calculator [EOScalc]) could be a useful tool in EONS risk assessment. This study aimed to determine the agreement between the recommendations of the Colombian EONS CPG and those of the EOSCalc tool in a cohort of newborns in Bogotá, Colombia.

STUDY DESIGN

Multicenter retrospective observational cohort study. We included newborns with a gestational age ≥ 34 weeks who were admitted to the neonatal care unit with a suspected diagnosis of EONS between 2017 and 2019. Agreement between the two tools was examined using Cohen's kappa under two scenarios (unequivocal and cautious).

RESULTS

Of the 23.490 live births, 470 (1.71%) were admitted to the neonatal care unit with a presumptive diagnosis of EONS. This diagnosis was confirmed in seven patients by means of blood cultures, with group B streptococcus the most common organism (57%; 95% confidence interval [CI]: 18.4-90.1). A single death occurred among the patients with confirmed EONS (lethality: 14.3%). The overall incidence of EONS was 0.298 per 1,000 live births. After splitting the recommendations into two scenarios regarding antibiotic use, unequivocal and cautious, the agreement between EOSCalc and the CPG was below 15% (6 and 14%, respectively).

CONCLUSION

Recommendations from the Colombian EONS CPG show poor agreement with the EOSCalc, with the latter detecting all newborns with EONS. Although the use of EOSCalc is clinically and administratively advantageous, further prospective studies are warranted to determine the safety of its implementation.

KEY POINTS

· Colombian EONS CPGs recommend that an outsized number of newborns be given antibiotics.. · The KP EOSCalc risk assessment calculator shows poor agreement with CPG recommendations.. · The Colombian CPGs should be updated to include the use of risk assessment calculators..

Utility of the Neonatal Early-Onset Sepsis Calculator in a Low-Risk Population

OBJECTIVE

 To compare early-onset sepsis (EOS) risk estimation and recommendations for infectious evaluation and/or empiric antibiotics using a categorical risk assessment versus the Neonatal Early-Onset Sepsis Calculator in a low-risk population.

STUDY DESIGN

 Retrospective chart review of late preterm (≥350/7-366/7 weeks' gestational age) and term infants born at the Brooke Army Medical Center between January 1, 2012 and August 29, 2019. We evaluated those born via cesarean section with rupture of membranes (ROM) < 10 minutes. Statistical analysis was performed to compare recommendations from a categorical risk assessment versus the calculator.

RESULTS

 We identified 1,187 infants who met inclusion criteria. A blood culture was obtained within 72 hours after birth from 234 (19.7%) infants and 170 (14.3%) received antibiotics per routine clinical practice, using categorical risk assessment. Respiratory distress was the most common indication for evaluation, occurring in 173 (14.6%) of patients. After applying the Neonatal Early-Onset Sepsis Calculator to this population, the recommendation was to obtain a blood culture on 166 (14%), to start or strongly consider starting empiric antibiotics on 164 (13.8%), and no culture or antibiotics on 1,021 (86%). Utilizing calculator recommendations would have led to a reduction in frequency of blood culture (19.7 vs. 14%, p < 0.0001) but no reduction in empiric antibiotics (14.3 vs. 13.8%, p = 0.53). There were no cases of culture-proven EOS.

CONCLUSION

 This population is low risk for development of EOS; however, 19.7% received an evaluation for infection and 14.3% received antibiotics. Utilization of the Neonatal Early-Onset Sepsis Risk Calculator would have led to a significant reduction in the evaluation for EOS but no reduction in antibiotic exposure. Consideration of delivery mode and indication for delivery may be beneficial to include in risk assessments for EOS.

KEY POINTS

· Cesarean section with rupture of membranes at delivery confers low risk for EOS.. · Respiratory distress often triggers an EOS evaluation.. · Delivery mode should be considered in EOS risk..

Evaluating Epidemiologic Trends and Variations in NICU Admissions in California, 2008 to 2018

OBJECTIVE

Previous research suggests increasing numbers of and variation in NICU admissions. We explored whether these trends were reflected in California by examining NICU admissions and birth data in aggregate and among patient and hospital subpopulations more susceptible to variations in care.

METHODS

In this retrospective cohort study, we evaluated NICU utilization between 2008 and 2018 for all live births at hospitals that provide data to the California Perinatal Quality Care Collaborative. We compared hospital- and admission-level data across birth weight (BW), gestational age (GA), and illness acuity categories. Trends were analyzed by using linear regression models.

RESULTS

We identified 472 402 inborn NICU admissions and 3 960 441 live births across 144 hospitals. Yearly trends in NICU admissions remained stable among all births and higher acuity births (mean admission rates 11.9% and 4.1%, respectively). However, analysis of the higher acuity births revealed significant increases in NICU admission rates for neonates with higher BW and GA (BW ≥ 2500g: 1.8% in 2008, 2.1% in 2018; GA ≥ 37 weeks: 1.5% in 2010, 1.8% in 2018). Kaiser hospitals had a decreasing trend of NICU admissions compared to non-Kaiser hospitals (Kaiser: 13.9% in 2008, 10.1% in 2018; non-Kaiser: 11.3% in 2008, 12.3% in 2018).

CONCLUSIONS

Overall NICU admission rates in California were stable from 2008-2018. However, trends similar to national patterns emerged when stratified by infant GA, BW, and illness acuity as well as Kaiser or non-Kaiser hospitals, with increasing admission rates for infants born at higher BW and GA and within non-Kaiser hospitals.

Barriers and Facilitators to the Implementation of the Early-Onset Sepsis Calculator: A Multicenter Survey Study

Prior studies demonstrated the neonatal early-onset sepsis (EOS) calculator's potential in drastically reducing antibiotic prescriptions, and its international adoption is increasing rapidly. To optimize the EOS calculator's impact, successful implementation is crucial. This study aimed to identify key barriers and facilitators to inform an implementation strategy. A multicenter cross-sectional survey was carried out among physicians, residents, nurses and clinical obstetricians of thirteen Dutch hospitals. Survey development was prepared through a literature search and stakeholder interviews. Data collection and analysis were based on the Consolidated Framework for Implementation Research (CFIR). A total of 465 stakeholders completed the survey. The main barriers concerned the expectance of the department's capacity problems and the issues with maternal information transfer between departments. Facilitators concerned multiple relative advantages of the EOS calculator, including stakeholder education, EOS calculator integration in the electronic health record and existing positive expectations about the safety and effectivity of the calculator. Based on these findings, tailored implementation interventions can be developed, such as identifying early adopters and champions, conducting educational meetings tailored to the target group, creating ready-to-use educational materials, integrating the EOS calculator into electronic health records, creating a culture of collective responsibility among departments and collecting data to evaluate implementation success and innovation results.

Tailored Approach to Evaluation and Management of Early Onset Neonatal Sepsis in a Safety-Net Teaching Hospital in Northeast Florida

Objective Early onset neonatal sepsis (EONS) remains a significant cause of morbidity and mortality in newborns in the immediate postnatal period. High empiric antibiotic use in well-appearing infants with known risk factors for sepsis led the American Academy of Pediatrics (AAP) to revise its 2010 guidelines for the evaluation and management of EONS to avoid overuse of antibiotics. In this recent clinical report, the AAP provided a framework that outlined several evidence-based approaches for sepsis risk assessment in newborns that can be adopted by institutions based on local resources and structure. One of these approaches, the sepsis risk calculator (SRC) developed by Kaiser Permanente, has been widely validated for reducing unnecessary antibiotic exposure and blood work in infants suspected of having EONS. In order to determine the utility and safety of modifying our institution's protocol to the SRC, we implemented a two-phased approach to evaluate the use of SRC in our newborn nursery. Phase 1 utilized a retrospective review of cases with SRC superimposition. If results from Phase 1 were found to be favorable, Phase 2 initiated a trial of the SRC for a six-month period prior to complete implementation. Methods Phase 1 consisted of retrospectively applying the SRC to electronic medical records (EMR) of infants ≥ 35 weeks' gestational age admitted to the newborn nursery with risk factors for EONS between June 2016 and May 2017. We compared actual antibiotic use as determined by the unit's EONS protocol for evaluation and management based on 2010 Centers for Disease Control and Prevention (CDC) and AAP guidelines to SRC-recommended antibiotic use. We used EMR to determine maternal and infant data, blood work results, and antibiotic usage as well as used daily progress notes by the clinical team to determine the clinical status of the infants retrospectively. Based on the projected reduction in blood work and antibiotics use with the retrospective superimposition of SRC on this cohort of infants and identification of our high-risk patient subset, we developed a novel, hybrid EONS protocol that we implemented and assessed throughout Phase 2, a six-month period from August 2018 to January 2019, as a prospective observational study. Results Phase 1 (SRC superimposition) demonstrated that the use of the SRC would have reduced empiric antibiotic use from 56% to 13% in the study cohort when compared with 2010 CDC/AAP guidelines. However, these same findings revealed use of the SRC would have resulted in delayed evaluation and initiation of antibiotics in 2 of 4 chorioamnionitis-exposed infants with positive blood cultures. During Phase 2 (n=302), with the implementation of our tailored approach (SRC implementation with additional blood culture in chorioamnionitis-exposed infants), 12 (4%) neonates received empiric antibiotic treatment compared to nine (3%) neonates who would have been treated per strict adherence to SRC recommendations. No neonate had culture-positive EONS. Continued use of 2010 CDC/AAP guidelines would have led to empiric antibiotic use in 38 (12.6%) infants in this cohort. Conclusion We developed a novel hybrid approach to the evaluation and management of neonates at increased risk of EONS by tailoring SRC recommendations to our safety-net population. Our stewardship effort achieved a safe and significant reduction in antibiotic usage compared to prior usage determined using CDC/AAP guidelines.

Risk Stratification to Support Antibiotic Stewardship and Breastfeeding Exclusivity in a Military Treatment Facility

OBJECTIVE

To safely reduce unnecessary antibiotic exposure in neonates exposed to chorioamnionitis and inadequately treated Group B Streptococcus (GBS) using the early-onset sepsis (EOS) calculator for risk stratification and a 36-hour antibiotic duration.

DESIGN

Evidence-based quality improvement initiative.

SETTING/LOCAL PROBLEM

Obstetric service at a midsized military treatment facility with approximately 2,000 births annually and no standard process for neonatal EOS risk assessment.

PARTICIPANTS

Clinical nurse specialist, physicians, nursing leadership, unit-level nursing champions, and nurses assigned to the mother-baby and labor and delivery units.

INTERVENTION/MEASUREMENTS

An interdisciplinary working group created a protocol to institute an EOS risk assessment calculator, a note for the electronic heath record, and interdisciplinary education for all staff providing care to neonates in our facility.

RESULTS

Before implementation of the EOS calculator, 97.6% of neonates exposed to chorioamnionitis or inadequate maternal GBS treatment received antibiotics; after implementation, the mean rate dropped to 32%. Exclusive breastfeeding rates before discharge in neonates exposed to chorioamnionitis or inadequate maternal GBS treatment also increased during this time, from 40% to a mean of 89%. After implementation, there were no readmissions to our institution for culture-proven sepsis within 14 days of discharge.

CONCLUSION

Multidisciplinary team-led implementation of the EOS calculator and of shortened antibiotic duration were associated with safely reduced antibiotic exposure in well-appearing neonates exposed to chorioamnionitis and GBS. In addition, dramatically improved rates of exclusive breastfeeding at discharge were observed in this population.

Paediatric sepsis-associated encephalopathy (SAE): a comprehensive review

Sepsis-associated encephalopathy (SAE) is one of the most common types of organ dysfunction without overt central nervous system (CNS) infection. It is associated with higher mortality, low quality of life, and long-term neurological sequelae, its mortality in patients diagnosed with sepsis, progressing to SAE, is 9% to 76%. The pathophysiology of SAE is still unknown, but its mechanisms are well elaborated, including oxidative stress, increased cytokines and proinflammatory factors levels, disturbances in the cerebral circulation, changes in blood-brain barrier permeability, injury to the brain's vascular endothelium, altered levels of neurotransmitters, changes in amino acid levels, dysfunction of cerebral microvascular cells, mitochondria dysfunction, activation of microglia and astrocytes, and neuronal death. The diagnosis of SAE involves excluding direct CNS infection or other types of encephalopathies, which might hinder its early detection and appropriate implementation of management protocols, especially in paediatric patients where only a few cases have been reported in the literature. The most commonly applied diagnostic tools include electroencephalography, neurological imaging, and biomarker detection. SAE treatment mainly focuses on managing underlying conditions and using antibiotics and supportive therapy. In contrast, sedative medication is used judiciously to treat those showing features such as agitation. The most widely used medication is dexmedetomidine which is neuroprotective by inhibiting neuronal apoptosis and reducing a sepsis-associated inflammatory response, resulting in improved short-term mortality and shorter time on a ventilator. Other agents, such as dexamethasone, melatonin, and magnesium, are also being explored in vivo and ex vivo with encouraging results. Managing modifiable factors associated with SAE is crucial in improving generalised neurological outcomes. From those mentioned above, there are still only a few experimentation models of paediatric SAE and its treatment strategies. Extrapolation of adult SAE models is challenging because of the evolving brain and technical complexity of the model being investigated. Here, we reviewed the current understanding of paediatric SAE, its pathophysiological mechanisms, diagnostic methods, therapeutic interventions, and potential emerging neuroprotective agents.

Participatory Methods to Improve and Develop Pediatric Nursing Practice: A Scoping Review

Children's nurses in African pediatric settings are often responsible for leading practice improvements. There is a shortage of contextually relevant guidance to inform the design of practice improvement projects in African care settings. Distinctive features of children's nursing practice in Africa include high levels of family caregiver involvement, and organizational and professional cultures which value participation. While established practice improvement methods offer many strengths, methods developed in other geographies should not be adopted uncritically. Our purpose in undertaking this review was to inform selection of methods for a multi-center practice improvement project in Africa. Our aim was to identify types of participatory methods used to improve and develop pediatric nursing practice. We used the PRISMA-ScR method to conduct a scoping review to identify published reports of participatory methods used to improve and develop pediatric nursing practice. We undertook structured searches of five bibliographic databases to identify articles. Only articles written in the English language were included and no limitation was applied to publication date. We identified 7,406 titles and abstracts. After screening, 76 articles met the inclusion criteria. A wide range of participatory methodologies were identified; just under half (n = 34) reported on methods that were not recognized or named methodologies but can be described as collaborative in nature. Plan-do-study-act cycles were reported in 22 articles. There was considerable heterogeneity in frameworks, practical tools and/or nursing models on which the participatory methods were based and there was no apparent relationship between these and the choice of participatory methods. The outcomes identified were also heterogenous in nature and were grouped according to whether they improved structure and/or processes and patient outcomes. Most of the included articles stem from high-income countries with little evidence from low-middle-income countries and none in African settings. Less than half of the included articles involved family caregivers in their practice improvement methodologies. This review highlights the need for greater application of formalized methods for practice improvement and improved rigor and consistency in reporting outcomes. There is also a need to formalize participatory practice improvement methodologies specifically suited to Africa's context of children's nursing.

Prediction of intrapartum fever using continuously monitored vital signs and heart rate variability

Objectives

Neonatal early onset sepsis (EOS), bacterial infection during the first seven days of life, is difficult to diagnose because presenting signs are non-specific, but early diagnosis before birth can direct life-saving treatment for mother and baby. Specifically, maternal fever during labor from placental infection is the strongest predictor of EOS. Alterations in maternal heart rate variability (HRV) may precede development of intrapartum fever, enabling incipient EOS detection. The objective of this work was to build a predictive model for intrapartum fever.

Methods

Continuously measured temperature, heart rate, and beat-to-beat RR intervals were obtained from wireless sensors on women (n = 141) in labor; traditional manual vital signs were taken every 3-6 hours. Validated measures of HRV were calculated in moving 5-minute windows of RR intervals: standard deviation of normal-to-normal intervals (SDNN) and root mean square of successive differences (RMSSD) between normal heartbeats.

Results

Fever (>38.0 °C) was detected by manual or continuous measurements in 48 women. Compared to afebrile mothers, average SDNN and RMSSD in febrile mothers decreased significantly (p < 0.001) at 2 and 3 hours before fever onset, respectively. This observed HRV divergence and raw recorded vitals were applied to a logistic regression model at various time horizons, up to 4-5 hours before fever onset. Model performance increased with decreasing time horizons, and a model built using continuous vital signs as input variables consistently outperformed a model built from episodic vital signs.

Conclusions

HRV-based predictive models could identify mothers at risk for fever and infants at risk for EOS, guiding maternal antibiotic prophylaxis and neonatal monitoring.

A high percentage of hospital-acquired neonatal bacteraemia but rare resistance to standard antibiotic regimens

AIM

We examined community and hospital-acquired bacteraemia, namely bloodstream infections or meningitis, and looked at the clinical features and outcomes of cases.

METHODS

The study comprised infants under 3 months of age, who were admitted to a tertiary referral centre in northern Israel with bacteraemia from 2010-2019. Causative pathogens, antibiotic susceptibility and mortality were retrospectively recorded.

RESULTS

We identified 314 infants, 325 episodes of bacteraemia and 344 pathogens. Meningitis was identified in 22 (7.0%) infants. Hospital-acquired bacteraemia accounted for 84.8% of the 325 episodes. Coagulase-negative staphylococci (33.9%) was the most prevalent pathogen in the hospital-acquired cases, while Escherichia coli (37.2%) dominated the community-acquired cases. The susceptibility of Gram-negative early-onset sepsis cases to ampicillin-gentamicin or ampicillin-cefotaxime was 96% and 94.7% for hospital-acquired cases and 91.7% and 88% for community-acquired cases, respectively. Susceptibility to piperacillin-tazobactam or amikacin in late-onset sepsis were 92.8% and 98%, respectively, in hospital-acquired cases. The 30-day mortality was 5.7% in infants with hospital-acquired cases. Risk factors were Arab ethnicity (p < 0.028), haemodynamic instability (<0.001) and Gram-negative sepsis (0.043).

CONCLUSION

Most cases of bacteraemia were acquired during hospitalisation and these accounted for the majority of the deaths. Resistance to standard antibiotic regimens was rare.

Implementation of the Early-Onset Sepsis Risk Calculator at a Community Level I Nursery

The objective of this retrospective cohort study was to decrease the frequency of laboratory draws and the number of neonates receiving empiric antibiotics who are born to mothers with chorioamnionitis from 100% to 50% 6 months following implementation of the sepsis risk calculator (SRC) at a level 1 community nursery. Data were compared pre- and post-implementation of the SRC using the Fischer's exact test. The rate of intravenous (IV) antibiotic use decreased from 93% to 7% (P < .0001). The rate of blood culture collection decreased from 100% to 46% (P < .0001). With implementation of the SRC, administration of IV antibiotics, laboratory draws, and IV placement significantly decreased without increasing rates of early-onset sepsis in our patient population. Our study demonstrated that the SRC can be effectively and safely implemented at a level 1 community-based newborn nursery, resulting in a decrease in unnecessary medical treatment without negative patient outcomes.

Improving Antibiotic Stewardship among Asymptomatic Newborns Using the Early-onset Sepsis Risk Calculator

Introduction:

Neonatologists have long struggled with identifying and treating early-onset sepsis (EOS) without overexposing newborns to unnecessary antibiotics.

Methods:

In January 2016, we instituted an EOS protocol based mainly on the 2012 AAP guidelines. We subsequently conducted 2 additional plan-do-study-act cycles to decrease antibiotic usage by integrating the EOS risk calculator into our algorithm. For the periods January 2016–June 2017 (period 1), June 2017–February 2018 (period 2), and February 2018–December 2018 (period 3), we tracked all asymptomatic newborns older than 36 weeks, including those admitted to the neonatal intensive care unit for evaluation of EOS. We monitored the monthly variation in asymptomatic newborns older than 36 weeks who received antibiotics using statistical process control. The number of asymptomatic infants treated with antibiotics during the 3 periods was analyzed. Pairwise comparisons were made using post hoc chi-square analysis.

Results:

The addition of the EOS calculator score to our guidelines reduced the number of asymptomatic infants older than 36 weeks treated with antibiotics by 73% (P < 0.0001). Adopting the EOS calculator score after clinical examination further reduced the number of infants treated by 89% (P < 0.0001). For period 1, the percentage of asymptomatic infants older than 36 weeks treated with antibiotics was 4.3%; for period 2, it was 1.16%, and for period 3, it was 0.12% (P < 0.0001).

Conclusions:

The addition of the EOS calculator score to our AAP-based guidelines reduced antibiotic use among asymptomatic infants older than 36 weeks by 73%. Further adoption of the EOS calculator score after the clinical examination enabled our team to defer antibiotics in almost all asymptomatic infants safely.

Retrospective cohort study of neonatal early onset of sepsis and the role of the EOS calculator in a level II nursery

BACKGROUND

Sepsis is a major cause of mortality and morbidity in neonates. With the improvement in health care standards, the incidence of neonatal Early Onset Sepsis (EOS) has reduced significantly. A recent Web-based EOS-calculator has been introduced with the aim to reduce the use of IV antibiotics in neonates. The role of the EOS-calculator has yet to be ascertained in this regional Special Care Nursery (SCN) in Western Australia. This study aims at examining the local incidence of culture proven EOS and the role of the EOS calculator.

METHOD

It is a retrospective study examining all newborns ≥35 weeks gestation throughout 2019 (Jan-Dec 2019) who received IV-antibiotics. The local incidence of culture-proven EOS was established and applied onto the EOS calculator. The recommended management by the EOS-calculator was cross-examined with the local EOS guideline. Overall proportion of reduction in IV antibiotics use was formulated. Other relevant laboratory data extracted was analysed with Pearson's correlation test with the EOS scores.

RESULTS

Total included sample was n = 252 with an annual birth of 1880s indicating 13.4% of all neonates born throughout year 2019 was treated with IV antibiotics. The local incidence of culture-proven EOS was 0.5/1000. By applying the EOS-calculator, a significant reduction of IV antibiotics usage from 13.4% to 3.9% (z value 10.4, p < 0.0001) could be achieved in this cohort. Sixty three percent of neonates who received IV antibiotics in this cohort were classified as 'clinically well' based on the EOS-calculator.

CONCLUSION

The EOS-calculator could reduce the use of IV antibiotics in the neonatal population significantly in this regional SCN (from 13.4% to 3.9%). Judicial use of IV antibiotics is imperative as part of the holistic care for the neonates. Implementation of the EOS-calculator must be done strategically considering the local incidence of EOS and other health care policies.

[Sepsis risk calculator-guided antibiotic management in neonates with suspected early-onset sepsis]

OBJECTIVE

To evaluate the efficacy of sepsis risk calculator (SRC) in guiding antibiotic use in neonates with suspected early-onset sepsis (EOS).

METHODS

A total of 284 neonates with a gestational age of ≥ 35 weeks were enrolled as the control group, who were hospitalized in the Children's Hospital of Chongqing Medical University from March to July, 2019 and were suspected of EOS. Their clinical data were retrospectively collected and the use of antibiotics was analyzed based on SRC. A total of 170 neonates with a gestational age of ≥ 35 weeks were enrolled as the study group, who were admitted to the hospital from July to November, 2020 and were suspected of EOS. SRC was used prospectively for risk scoring to assist the decision making of clinical antibiotic management. The two groups were compared in terms of the rate of use of antibiotics, blood culture test rate, clinical outcome, and adherence to the use of SRC.

RESULTS

Compared with the control group, the study group had a significantly higher SRC score at birth and on admission (P < 0.05). The rate of use of antibiotics in the study group was significantly lower than that in the control group[84.7% (144/170) vs 91.5% (260/284), 6.8% decrease; P < 0.05]. The blood culture test rate in the study group was also significantly lower than that in the control group (85.3% vs 91.9%, P < 0.05). There was no significant difference between the two groups in the incidence rate of adverse outcomes and the final diagnosis of EOS (P > 0.05).

CONCLUSIONS

The use of SRC reduces the rate of empirical use of antibiotics in neonates with suspected EOS and does not increase the risk of adverse outcomes, and therefore, it holds promise for clinical application.

Choosing wisely for the other 80%: What we need to know about the more mature newborn and NICU care

Although neonatal intensive unit (NICU) care is envisioned as the care of very immature infants, more than 95% of births and 80% of NICU admissions are of more mature newborns-infants born at 34 or more weeks' gestation. In spite of the size of this population there are important gaps in the understanding of their needs and optimal management as reflected by remarkably large unexplained variation in their care. The goal of this article is to describe what is known about the more mature, higher birth weight newborn population's use of NICU care and highlight important gaps in knowledge and obstacles to research. Research priorities are identified: including (1) the need for birth population based rather than NICU based studies, and (2) population specific data elements. Summary: More mature newborns-infants of 34 or more weeks' gestation-account for most NICU admissions. There are large gaps in the understanding of their needs and optimal management as reflected by large unexplained variation in their care. We enumerate these gaps in current knowledge and suggest research priorities to address them.

Early-onset sepsis risk calculator: a review of its effectiveness and comparative study with our evidence-based local guidelines

Background

According to most early-onset sepsis (EOS) management guidelines, approximately 10% of the total neonatal population are exposed to antibiotics in the first postnatal days with subsequent increase of neonatal and pediatric comorbidities. A review of literature demonstrates the effectiveness of EOS calculator in reducing antibiotic overtreatment and NICU admission among neonates ≥34 weeks’ gestational age (GA); however, some missed cases of culture-positive EOS have also been described.

Methods

Single-center retrospective study from 1st January 2018 to 31st December 2018 conducted in the Division of Neonatology at Santa Chiara Hospital (Pisa, Italy). Neonates ≥34 weeks’ GA with birth weight ≤ 1500 g, 34–36 weeks’ GA neonates with suspected intraamniotic infection and neonates ≥34 weeks’ GA with three clinical signs of EOS or two signs and one risk factor for EOS receive empirical antibiotics. Neonates ≥34 weeks’ GA with risk factors for EOS or with one clinical indicator of EOS undergo serial measurements of C-reactive protein and procalcitonin in the first 48–72 h of life; they receive empirical antibiotics in case of abnormalities at blood exams with one or more clinical signs of EOS. Two hundred sixty-five patients at risk for EOS met inclusion criteria; they were divided into 3 study groups: 34–36 weeks’ GA newborns (n = 95, group A), ≥ 37 weeks’ GA newborns (n = 170, group B), and ≥ 34 weeks’ GA newborns (n = 265, group A + B). For each group, we compared the number of patients for which antibiotics would have been needed, based on EOS calculator, and the number of the same patients we treated with antibiotics during the study period. Comparisons between the groups were performed using McNemar’s test and statistical significance was set at p < 0.05; post-hoc power analysis was carried out to evaluate the sample sizes.

Results

32/265 (12.1%) neonates ≥34 weeks’ GA received antibiotics within the first 12 h of life. According to EOS calculator 55/265 (20.7%) patients would have received antibiotics with EOS incidence 2/1000 live births (p < 0.0001).

Conclusion

Our evidence-based protocol entails a further decrease of antibiotic overtreatment compared to EOS calculator. No negative consequences for patients were observed.

Comparison of NICE Guideline CG149 and the Sepsis Risk Calculator for the Management of Early-Onset Sepsis on the Postnatal Ward

INTRODUCTION

The NICE guideline CG149 has increased the number of well infants receiving antibiotics for suspected early-onset sepsis (EOS). The Kaiser Permanente sepsis risk calculator (SRC) has safely and dramatically reduced investigations and antibiotics for suspected EOS in the USA. This study evaluates the current management of suspected EOS against the NICE guideline CG149 and the SRC.

METHODS

This study is a prospective, multicentre, observational study across 13 neonatal units in London. Infants were born between June and August 2019 at ≥34 weeks gestation and commenced on antibiotics for suspected EOS and cared for on postnatal/transitional care wards. Data were prospectively recorded: risk factors, clinical indicators, investigations, and results. Outcome measures included the following: (1) incidence of EOS and (2) proportion of infants recommended for antibiotics by NICE versus theoretical application of SRC.

RESULTS

1,066/8,856 (12%) infants on postnatal/transitional care wards received antibiotics, 7 of whom had a positive blood culture (group B Streptococcus = 6 and Escherichia coli = 1), making the EOS incidence 0.8/1,000 infants. Six hundred one infants had data for SRC analysis, which recommended "antibiotics" or "blood culture" for 130/601 (21.6%) infants using an EOS incidence of 0.5/1,000 versus 527/601 (87.7%) if NICE was applied.

CONCLUSIONS

Currently, 12.0% of infants on postnatal/transitional care wards receive antibiotics for suspected EOS. The SRC could dramatically reduce antibiotic use, but further prospective studies are required to evaluate safety of SRC implementation.

Management of infants born to mothers with chorioamnionitis: A retrospective comparison of the three approaches recommended by the committee on fetus and newborn

BACKGROUND

Based on the most recently published recommendations from the Committee on the Fetus and Newborn (COFN), three approaches currently exist for the use of risk factors to identify infants who are at increased risk of early-onset sepsis (EOS). Categorical risk factor assessments recommend laboratory testing and empiric antibiotic therapy for all infants born to mothers with a clinical diagnosis of chorioamnionitis. Risk assessments based on clinical condition recommend frequent examinations and close vital sign monitoring for infants born to mothers with chorioamnionitis. The Kaiser Permanente EOS risk calculator (SRC) is an example of the third approach, multivariate risk assessments. The aim of our study was to compare the three risk stratification approaches recommended by the COFN for management of chorioamnionitis-exposed infants.

METHODS

Retrospective study of 1,521 infants born ≥35 weeks to mothers with chorioamnionitis. Management recommendations of the SRC were compared to the recommendations of categorical risk assessment and risk assessment based on clinical condition (CCA).

RESULTS

Hypothetical application of SRC and CCA resulted in 79.6% and 76.8-85.1% respectively fewer infants allocated empiric antibiotic therapy. While CCA recommended enhanced observation for all chorioamnionitis-exposed infants, SRC recommended routine care without enhanced observation in 44.3% infants. For the six infants (0.39%) with EOS, SRC and CCA recommended empiric antibiotics only for three symptomatic infants.

CONCLUSION

The SRC and CCA can reduce antibiotic use but potentially delay antibiotic treatment. The SRC does not recommend enhanced observation with frequent and prolonged vital signs for >44% of chorioamnionitis-exposed infants.