Implementation of the Sepsis Risk Calculator at an Academic Birth Hospital

Evaluating a Modified Use of the Kaiser Permanente Early-onset Sepsis Risk Calculator to Reduce Antibiotic Exposure: a Retrospective Study

BACKGROUND

Early-onset neonatal sepsis (EONS) remains an important disease entity due to very serious adverse outcomes if left untreated. Lack of diagnostic tools in identifying healthy from diseased neonates, and clinicians' fear of the missing positive-culture sepsis babies, or babies with clinical sepsis have led to overtreating and unnecessary antibiotic exposure. Kaiser Permanente EONS risk calculator is an internally validated tool that can predict EONS. This sepsis risk calculator (SRC) classifies neonates into three subgroups: (1) ill-appearing, (2) equivocal and (3) well-appearing. We propose a modification to this tool that aims to use it solely for well-appearing babies. This modification represents a more conservative approach to decrease antibiotic exposure and offers an alternative for those hesitant to fully implement this tool.

METHODS

This is a dual-centre retrospective study where data were extracted from the electronic medical records. Our primary outcome was to validate the modified use of the SRC with a two-by-two table. Specificity, negative predictive value and expected antibiotic reduction were used to evaluate the tool's feasibility.

RESULT

Among 770 babies suspected of EONS, the feasibility of the modified use was tested. The expected antibiotic exposure reduction rate on the modification was 40.4% overall. The proposed modification resulted in a specificity and negative predictive value of 99.28% (95% CI: 97.92% to 99.85%) and 99.5% (95% CI: 99% to 99.8%), respectively.

CONCLUSION

The modified use of the sepsis risk calculator has shown that it can safely reduce antibiotic exposure in well-appearing babies. The modified use is used as a 'rule out' test that can identify very low risk of EONS babies, and safely minimise antibiotic exposure. Further prospective studies are needed to examine the efficacy of this use, and quality improvement projects are required to evaluate its applicability in different clinical settings.

Antimicrobial Stewardship Programs in Neonates: A Meta-Analysis

BACKGROUND AND OBJECTIVES

Neonatal sepsis is a significant contributor to mortality and morbidity; however, the uncontrolled use of antimicrobials is associated with significant adverse effects. Our objective with this article is to review the components of neonatal antimicrobial stewardship programs (ASP) and their effects on clinical outcomes, cost-effectiveness, and antimicrobial resistance.

METHODS

We selected randomized and nonrandomized trials and observational and quality improvement studies evaluating the impact of ASP with a cutoff date of May 22, 2023. The data sources for these studies included PubMed, Medline, Embase, Cochrane CENTRAL, Web of Science, and SCOPUS. Details of the ASP components and clinical outcomes were extracted into a predefined form.

RESULTS

Of the 4048 studies retrieved, 70 studies (44 cohort and 26 observational studies) of >350 000 neonates met the inclusion criteria. Moderate-certainty evidence reveals a significant reduction in antimicrobial initiation in NICU (pooled risk difference [RD] 19%; 95% confidence interval [CI] 14% to 24%; 21 studies, 27 075 infants) and combined NICU and postnatal ward settings (pooled RD 8%; 95% CI 6% to 10%; 12 studies, 358 317 infants), duration of antimicrobial agents therapy (pooled RD 20%; 95% CI 10% to 30%; 9 studies, 303 604 infants), length of therapy (pooled RD 1.82 days; 95% CI 1.09 to 2.56 days; 10 studies, 157 553 infants), and use of antimicrobial agents >5 days (pooled RD 9%; 95% CI 3% to 15%; 5 studies, 9412 infants). Low-certainty evidence reveals a reduction in economic burden and drug resistance, favorable sustainability metrices, without an increase in sepsis-related mortality or the reinitiation of antimicrobial agents. Studies had heterogeneity with significant variations in ASP interventions, population settings, and outcome definitions.

CONCLUSIONS

Moderate- to low-certainty evidence reveals that neonatal ASP interventions are associated with reduction in the initiation and duration of antimicrobial use, without an increase in adverse events.

National Needs Assessment of Utilization of Common Newborn Clinical Decision Support Tools

OBJECTIVE

 Clinical decision support tools (CDSTs) are common in neonatology, but utilization is rarely examined. We examined the utilization of four CDSTs in newborn care.

STUDY DESIGN

 A 72-field needs assessment was developed. It was distributed to listservs encompassing trainees, nurse practitioners, hospitalists, and attendings. At the conclusion of data collection, responses were downloaded and analyzed.

RESULTS

 We received 339 fully completed questionnaires. BiliTool and the Early-Onset Sepsis (EOS) tool were used by > 90% of respondents, the Bronchopulmonary Dysplasia tool by 39%, and the Extremely Preterm Birth tool by 72%. Common reasons CDSTs did not impact clinical care included lack of electronic health record integration, lack of confidence in prediction accuracy, and unhelpful predictions.

CONCLUSION

 From a national sample of neonatal care providers, there is frequent but variable use of four CDSTs. Understanding the factors that contribute to tool utility is vital prior to development and implementation.

KEY POINTS

· Clinical decision support tools are common in medicine.. · There is a varied use of neonatal CDST.. · Understanding the use of CDST is vital for future development..

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..

Decreasing Antibiotic Use in a Community Neonatal Intensive Care Unit: A Quality Improvement Initiative

OBJECTIVE

 In view of the excessive use of antibiotics in our neonatal intensive care unit (NICU), we launched a 5-year multidisciplinary quality improvement (QI) initiative in our NICU in 2018. We had set our aim of decreasing the antibiotic use rate (AUR) from 22 to 17%.

STUDY DESIGN

 The QI initiative was conducted in our 53-bed level 3B NICU. We used the core elements of antibiotic stewardship and focused on improving gaps in knowledge by using updated standards of care and a multidisciplinary approach. Outcome measures included overall AUR in NICU. Statistical control chart (P chart) was used to plot the AUR data quarterly.

RESULTS

 The AUR demonstrated a decline at the onset, and at the end of the initiative the AUR demonstrated a sustained decline to 13.18%, a 40% decrease from the baseline AUR of 22%. The changes that were implemented included development of evidence-based guidelines for babies less than and greater than 35 weeks, daily antibiotic stewardship rounds, sepsis risk calculator, antibiotic stop orders (48-hour stop, 36-hour soft stop, and 36-hour hard stop), and periodic reviews.

CONCLUSION

 Our multidisciplinary approach using all the core elements of an antibiotic stewardship program significantly decreased AUR in our NICU.

KEY POINTS

· Excessive use of antibiotics may cause harm to the infant's health.. · Indiscriminate use of antibiotics can lead to antibiotic resistance.. · Stewardship programs can significantly decrease AUR in NICUs..

Resource Utilization and Costs Associated with Approaches to Identify Infants with Early-Onset Sepsis

Objective. To compare resource utilization and costs associated with 3 alternative screening approaches to identify early-onset sepsis (EOS) in infants born at ≥35 wk of gestational age, as recommended by the American Academy of Pediatrics (AAP) in 2018. Study Design. Decision tree-based cost analysis of the 3 AAP-recommended approaches: 1) categorical risk assessment (categorization by chorioamnionitis exposure status), 2) neonatal sepsis calculator (a multivariate prediction model based on perinatal risk factors), and 3) enhanced clinical observation (assessment based on serial clinical examinations). We evaluated resource utilization and direct costs (2022 US dollars) to the health system. Results. Categorical risk assessment led to the greatest neonatal intensive care unit usage (210 d per 1,000 live births) and antibiotic exposure (6.8%) compared with the neonatal sepsis calculator (112 d per 1,000 live births and 3.6%) and enhanced clinical observation (99 d per 1,000 live births and 3.1%). While the per-live birth hospital costs of the 3 approaches were similar-categorical risk assessment cost $1,360, the neonatal sepsis calculator cost $1,317, and enhanced clinical observation cost $1,310-the cost of infants receiving intervention under categorical risk assessment was approximately twice that of the other 2 strategies. Results were robust to variations in data parameters. Conclusion. The neonatal sepsis calculator and enhanced clinical observation approaches may be preferred to categorical risk assessment as they reduce the number of infants receiving intervention and thus antibiotic exposure and associated costs. All 3 approaches have similar costs over all live births, and prior literature has indicated similar health outcomes. Inclusion of downstream effects of antibiotic exposure in the neonatal period should be evaluated within a cost-effectiveness analysis.

Highlights

Of the 3 approaches recommended by the American Academy of Pediatrics in 2018 to identify early-onset sepsis in infants born at ≥35 weeks, the categorical risk assessment approach leads to about twice as many infants receiving evaluation to rule out early-onset sepsis compared with the neonatal sepsis calculator and enhanced clinical observation approaches.While the hospital costs of the 3 approaches were similar over the entire population of live births, the neonatal sepsis calculator and enhanced clinical observation approaches reduce antibiotic exposure, neonatal intensive care unit admission, and hospital costs associated with interventions as part of the screening approach compared with the categorical risk assessment approach.

Clinical and economic impacts of a modified-observational screening approach to well-appearing infants born to mothers with chorioamnionitis

OBJECTIVE

Term infants born to mothers with chorioamnionitis are at risk for early-onset sepsis (EOS). We aimed to measure the impact of changing from a categorical to a modified-observational EOS screening approach on NICU admission, antibiotic utilization, and hospitalization costs.

STUDY DESIGN

Single-center retrospective pre-post cohort study of full-term infants born to mothers with chorioamnionitis. Primary outcomes included NICU admission, antibiotic utilization, and hospitalization costs. Outcomes were adjusted for demographic variables. Budget-impact analysis was performed using bootstrapping with replication.

RESULTS

380 term infants were included (197 categorical; 183 modified-observational). There was a significant decrease in NICU admission and antibiotic utilization (p < 0.05) in the modified-observational cohort but no significant difference in per-patient total hospitalization costs. Budget-impact analysis suggested a high probability of cost savings.

CONCLUSION

A modified-observational approach to evaluating term infants of mothers with chorioamnionitis can reduce NICU admission and unnecessary antibiotic therapy, and may lead to cost-savings.

A hidden gem in multidisciplinary antimicrobial stewardship: a systematic review on bedside nurses' activities in daily practice regarding antibiotic use

Background

Antimicrobial stewardship (AMS), the set of actions to ensure antibiotics are used appropriately, is increasingly targeted at all those involved in the antimicrobial pathway, including nurses. Several healthcare organizations have issued position statements on how bedside nurses can be involved in AMS. However, it remains unclear how nurses, in reality, contribute to appropriate antibiotic use.

Objectives

To systematically search the literature to describe the activities bedside nurses perform regarding antibiotic use in daily clinical practice, in relation to the activities proposed by the aforementioned position statements.

Methods

We searched MEDLINE, Embase, CINAHL and grey literature until March 2021. Studies were included if they described activities regarding antibiotic use performed by bedside nurses. Methodological rigour was assessed by applying the Mixed Method Appraisal Tool.

Results

A total of 118 studies were included. The majority of the proposed nurses' activities were found in daily practice, categorized into assessment of clinical status, collection of specimens, management of antimicrobial medication, prompting review and educating patient and relatives. Nurses may take the lead in these clinical processes and are communicators in all aspects of the antimicrobial pathway. Patient advocacy appears to be a strong driver of bedside nurses' activities.

Conclusions

Nurses' activities are already integrated in the day-to-day nursing practice and are grounded in the essence of nursing, being a patient advocate and showing nursing leadership in safeguarding the antimicrobial treatment process. An essential element of the nursing role is communication with other stakeholders in the patient-centred antimicrobial pathway. Educating, engaging and empowering nurses in this already integrated role, could lead to a solid, impactful nursing contribution to AMS.

Antibiotic Use Among Infants Admitted to Neonatal Intensive Care Units

This cross-sectional study examines antibiotic exposure, days of therapy, types of antibiotics, and changes in use patterns among newborns in neonatal intensive care units (NICUs) across the US from 2009 to 2021.

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.

The Management of Neonates ≥34 Weeks' Gestation at Risk of Early Onset Sepsis: A Pilot Study

Early onset sepsis (EOS) is a potentially fatal condition in neonates, and its correct management is still challenging for neonatologists. Early antibiotic administration in the neonatal period may carry short- and long-term risks. Neonatal EOS calculator has been recently introduced as a new strategy to manage infants at risk of sepsis, and has shown promising results.

METHODS

In this single-center observational retrospective study, 1000 neonates ≥ 34 weeks' gestation were enrolled with the aim to evaluate our standard protocol for the management of suspected EOS compared to the EOS calculator. Outcome measures included the following: (1) incidence of EOS and (2) proportion of infants in need of sepsis evaluations and antibiotics using our standard protocol versus theoretical application of EOS calculator.

RESULTS

A total of 223/1000 infants underwent blood investigations versus 35/1000 (3.5%) if EOS calculator had been applied (p < 0.0001; k = 0.18). Furthermore, 48/1000 infants received antibiotics with our protocol versus 35/1000 with EOS calculator (p = 0.12; k = 0.58). Three infants had a positive blood culture that EOS calculator would have missed.

CONCLUSIONS

In our study, EOS calculator could have reduced investigations but not antibiotic therapy. EOS calculator is an effective and promising tool, but further studies are required to improve it.

Comparison of diagnoses of early-onset sepsis associated with use of Sepsis Risk Calculator versus NICE CG149: a prospective, population-wide cohort study in London, UK, 2020-2021

OBJECTIVE

We sought to compare the incidence of early-onset sepsis (EOS) in infants ≥34 weeks' gestation identified >24 hours after birth, in hospitals using the Kaiser Permanente Sepsis Risk Calculator (SRC) with hospitals using the National Institute for Health and Care Excellence (NICE) guidance.

DESIGN AND SETTING

Prospective observational population-wide cohort study involving all 26 hospitals with neonatal units colocated with maternity services across London (10 using SRC, 16 using NICE).

PARTICIPANTS

All live births ≥34 weeks' gestation between September 2020 and August 2021.

OUTCOME MEASURES

EOS was defined as isolation of a bacterial pathogen in the blood or cerebrospinal fluid (CSF) culture from birth to 7 days of age. We evaluated the incidence of EOS identified by culture obtained >24 hours to 7 days after birth. We also evaluated the rate empiric antibiotics were commenced >24 hours to 7 days after birth, for a duration of ≥5 days, with negative blood or CSF cultures.

RESULTS

Of 99 683 live births, 42 952 (43%) were born in SRC hospitals and 56 731 (57%) in NICE hospitals. The overall incidence of EOS (<72 hours) was 0.64/1000 live births. The incidence of EOS identified >24 hours was 2.3/100 000 (n=1) for SRC vs 7.1/100 000 (n=4) for NICE (OR 0.5, 95% CI (0.1 to 2.7)). This corresponded to (1/20) 5% (SRC) vs (4/45) 8.9% (NICE) of EOS cases (χ=0.3, p=0.59). Empiric antibiotics were commenced >24 hours to 7 days after birth in 4.4/1000 (n=187) for SRC vs 2.9/1000 (n=158) for NICE (OR 1.5, 95% CI (1.2 to 1.9)). 3111 (7%) infants received antibiotics in the first 24 hours in SRC hospitals vs 8428 (15%) in NICE hospitals.

CONCLUSION

There was no significant difference in the incidence of EOS identified >24 hours after birth between SRC and NICE hospitals. SRC use was associated with 50% fewer infants receiving antibiotics in the first 24 hours of life.

Diagnostic Performance and Patient Outcomes With C-Reactive Protein Use in Early-Onset Sepsis Evaluations

OBJECTIVES

To determine performance of C-reactive protein (CRP) in the diagnosis of early-onset sepsis, and to assess patient outcomes with and without routine use of CRP.

STUDY DESIGN

This was a retrospective cohort study of infants admitted to 2 neonatal intensive care units. CRP was used routinely in early-onset sepsis evaluations during 2009-2014; this period was used to determine CRP performance at a cut-off of ≥10 mg/L in diagnosis of culture-confirmed early-onset sepsis. Routine CRP use was discontinued during 2018-2020; outcomes among infants admitted during this period were compared with those in 2012-2014.

RESULTS

From 2009 to 2014, 10 134 infants were admitted; 9103 (89.8%) had CRP and 7549 (74.5%) had blood culture obtained within 3 days of birth. CRP obtained ±4 hours from blood culture had a sensitivity of 41.7%, specificity 89.9%, and positive likelihood ratio 4.12 in diagnosis of early-onset sepsis. When obtained 24-72 hours after blood culture, sensitivity of CRP increased (89.5%), but specificity (55.7%) and positive likelihood ratio (2.02) decreased. Comparing the periods with (n = 4977) and without (n = 5135) routine use of CRP, we observed lower rates of early-onset sepsis evaluation (74.5% vs 50.5%), antibiotic initiation (65.0% vs 50.8%), and antibiotic prolongation in the absence of early-onset sepsis (17.3% vs 7.2%) in the later period. Rate and timing of early-onset sepsis detection, transfer to a greater level of care, and in-hospital mortality were not different between periods.

CONCLUSIONS

CRP diagnostic performance was not sufficient to guide decision-making in early-onset sepsis. Discontinuation of routine CRP use was not associated with differences in patient outcomes despite lower rates of antibiotic administration.

Fighting Antimicrobial Resistance in Neonatal Intensive Care Units: Rational Use of Antibiotics in Neonatal Sepsis

Antibiotics are the most frequently prescribed drugs in neonatal intensive care units (NICUs) due to the severity of complications accompanying neonatal sepsis. However, antimicrobial drugs are often used inappropriately due to the difficulties in diagnosing sepsis in the neonatal population. The reckless use of antibiotics leads to the development of resistant strains, rendering multidrug-resistant pathogens a serious problem in NICUs and a global threat to public health. The aim of this narrative review is to provide a brief overview of neonatal sepsis and an update on the data regarding indications for antimicrobial therapy initiation, current guidance in the empirical antimicrobial selection and duration of therapy, and indications for early discontinuation.

Neonatal Early-Onset Sepsis

Early-onset sepsis (EOS) is a significant cause of morbidity and mortality among newborn infants, particularly among those born premature. The epidemiology of EOS is changing over time. Here, we highlight the most contemporary data informing the epidemiology of neonatal EOS, including incidence, microbiology, risk factors, and associated outcomes, with a focus on infants born in high-income countries during their birth hospitalization. We discuss approaches to risk assessment for EOS, summarizing national guidelines and comparing key differences between approaches for term and preterm infants. Lastly, we analyze contemporary antibiotic resistance data for EOS pathogens to inform optimal empiric treatment for EOS.

Comparison of Early-Onset Sepsis Risk-Stratification Algorithms in Neonates in a Kenyan Nursery

BACKGROUND AND OBJECTIVES

Risk stratification algorithms (RSAs) can reduce antibiotic duration (AD) and length of stay (LOS) for early-onset sepsis (EOS). Because of higher EOS and antibiotic resistance rates and limited laboratory capacity, RSA implementation may benefit low- and middle-income countries (LMIC). Our objective was to compare the impact of 4 RSAs on AD and LOS in an LMIC nursery.

METHOD

Neonates <5 days of age admitted for presumed sepsis to a Kenyan referral hospital in 2019 (n = 262) were evaluated by using 4 RSAs, including the current local sepsis protocol ("local RSA"), a simplified local protocol ("simple RSA"), an existing categorical RSA that uses infant clinical examination and maternal risk factors (CE-M RSA) clinical assessment, and the World Health Organization's Integrated Management of Childhood Illness guideline. For each RSA, a neonate was classified as at high, moderate, or low EOS risk. We used к coefficients to evaluate the agreement between RSAs and McNemar's test for the direction of disagreement. We used the Wilcoxon rank test for differences in observed and predicted median AD and LOS.

RESULTS

Local and simple RSAs overestimated EOS risk compared with CE-M RSA and the Integrated Management of Childhood Illness guideline. Compared with the observed value, CE-M RSA shortened AD by 2 days and simple RSA lengthened AD by 2 days. LOS was shortened by 4 days by using CE-M RSA and by 2 days by using the local RSA.

CONCLUSIONS

The local RSA overestimated EOS risk compared with CE-M RSA. If implemented fully, the local RSA may reduce LOS. Future studies will evaluate the prospective use of RSAs in LMICs with other interventions such as observation off antibiotics, biomarkers, and bundled implementation.

Epidemiology and trends in neonatal early onset sepsis in California, 2010-2017

OBJECTIVE

This study evaluated patterns of neonatal early onset sepsis (EOS) disease burden to guide approaches to EOS management.

STUDY DESIGN

Retrospective cohort.

RESULT

A total of 1535 EOS cases were identified amongst 2,872,964 neonates born between 2010 and 2017 at 136 NICUs within the California Perinatal Quality Care Collaborative. EOS incidence was 7.4 per 1000 (E coli: 4.3, GBS: 1.1) in preterm, 0.76 per 1000 (E coli: 0.29, GBS: 0.22) in late preterm, and 0.31 per 1000 (E coli: 0.07, GBS 0.13) in term neonates. There was no significant change in overall incidence, though an increase in E coli (p < 0.001) and decrease in GBS (p = 0.04) incidence were noted. After adjusting for gestational age, there was no difference in the odds of death by pathogen (p > 0.2).

CONCLUSION

The overall EOS incidence remained steady in California NICUs from 2010-2017, though an increase in E coli and decrease in GBS EOS incidence was noted.

Charge Nurses Taking Charge, Challenging the Culture of Culture-Negative Sepsis, and Preventing Central-Line Infections to Reduce NICU Antibiotic Usage

OBJECTIVE

We aimed to reduce our monthly antibiotic usage rate (AUR, days of treatment per 1,000 patient-days) in the neonatal intensive care unit (NICU) from a baseline of 330 (July 2015-April 2016) to 200 by December 2018.

STUDY DESIGN

We identified three key drivers as follows: (1) engaging NICU charge nurses, (2) challenging the culture of culture-negative sepsis, and (3) reducing central-line associated bloodstream infections (CLABSI). Our main outcome was AUR. The percentage of culture-negative sepsis that was treated with antibiotics for >48 hours and CLABSI was our process measure. We used hospital cost/duration of hospitalization and mortality as our balancing measures.

RESULTS

After testing several plan-do-study-act (PDSA) cycles, we saw a modest reduction in AUR from 330 in the year 2016 to 297 in the year 2017. However, we did not find a special-cause variation in AUR via statistical process control (SPC) analysis (u'-chart). Thereafter, we focused our efforts to reduce CLABSI in January 2018. As a result, our mean AUR fell to 217 by December 2018. Our continued efforts resulted in a sustained reduction in AUR beyond the goal period. Importantly, cost of hospitalization and mortality did not increase during the improvement period.

CONCLUSION

Our sequential quality improvement (QI) efforts led to a reduction in AUR. We implemented processes to establish a robust antibiotic stewardship program that included antibiotic time-outs led by NICU charge nurses and a focus on preventing CLABSI that were sustained beyond the QI period.

KEY POINTS

· This is a quality improvement project to reduce antibiotic usage in NICU.. · Charge nurses should take charge to reduce infections in NICU.. · Central line infections should be reduced to decrease antibiotic usage..

Implementation of an adapted Sepsis Risk Calculator algorithm to reduce antibiotic usage in the management of early onset neonatal sepsis: a multicentre initiative in Wales, UK

OBJECTIVE

Assess the impact of introducing a consensus guideline incorporating an adapted Sepsis Risk Calculator (SRC) algorithm, in the management of early onset neonatal sepsis (EONS), on antibiotic usage and patient safety.

DESIGN

Multicentre prospective study SETTING: Ten perinatal hospitals in Wales, UK.

PATIENTS

All live births ≥34 weeks' gestation over a 12-month period (April 2019-March 2020) compared with infants in the preceding 15-month period (January 2018-March 2019) as a baseline.

METHODS

The consensus guideline was introduced in clinical practice on 1 April 2019. It incorporated a modified SRC algorithm, enhanced in-hospital surveillance, ongoing quality assurance, standardised staff training and parent education. The main outcome measure was antibiotic usage/1000 live births, balancing this with analysis of harm from delayed diagnosis and treatment, disease severity and readmissions from true sepsis. Outcome measures were analysed using statistical process control charts.

MAIN OUTCOME MEASURES

Proportion of antibiotic use in infants ≥34 weeks' gestation.

RESULTS

4304 (14.3%) of the 30 105 live-born infants received antibiotics in the baseline period compared with 1917 (7.7%) of 24 749 infants in the intervention period (45.5% mean reduction). All 19 infants with culture-positive sepsis in the postimplementation phase were identified and treated appropriately. There were no increases in sepsis-related neonatal unit admissions, disease morbidity and late readmissions.

CONCLUSIONS

This multicentre study provides evidence that a judicious adaptation of the SRC incorporating enhanced surveillance can be safely introduced in the National Health Service and is effective in reducing antibiotic use for EONS without increasing morbidity and mortality.

Reduction of unnecessary antibiotic days in a level IV neonatal intensive care unit

OBJECTIVE

Antibiotics are widely prescribed in the neonatal intensive care unit (NICU) and duration of prescription is varied. We sought to decrease unnecessary antibiotic days for the most common indications in our outborn level IV NICU by 20% within 1 year.

DESIGN AND INTERVENTIONS

A retrospective chart review was completed to determine the most common indications and treatment duration for antibiotic therapy in our 39-bed level IV NICU. A multidisciplinary team was convened to develop an antibiotic stewardship quality improvement initiative with new consensus guidelines for antibiotic duration for these common indications. To optimize compliance, prospective audit was completed to ensure antibiotic stop dates were utilized and provider justification for treatment duration was documented. Multiple rounds of educational sessions were conducted with neonatology providers.

RESULTS

In total, 262 patients were prescribed antibiotics (139 in baseline period and 123 after the intervention). The percentage of unnecessary antibiotic days (UAD) was defined as days beyond the consensus guidelines. As a balancing measure, reinitiation of antibiotics within 2 weeks was tracked. After sequential interventions, the percentage of UAD decreased from 42% to 12%, which exceeded our goal of a 20% decrease. Compliance with antibiotic stop dates increased from 32% to 76%, and no antibiotics were reinitiated within 2 weeks.

CONCLUSIONS

A multidisciplinary antibiotic stewardship team coupled with a consensus for antibiotic therapy duration, prescriber justification of antibiotic necessity and use of antibiotic stop dates can effectively reduce unnecessary antibiotic exposure in the NICU.

Neonatal Early Onset Sepsis: Impact of Kaiser Calculator in an Italian Tertiary Perinatal Center

BACKGROUND

Suspected early-onset sepsis (EOS) results in antibiotic treatment and blood withdraw of a substantial number of neonates who are uninfected. We evaluated if the EOS calculator can reduce antibiotic exposure and invasive procedures for suspected EOS in term and late preterm neonates, without any significant increase in adverse outcomes.

METHODS

The proportion of EOS risk in neonates ≥35 weeks gestation exposed to antibiotics, intensive monitoring and blood withdrawal was compared between a baseline period (January 2018-May 2018), when Centers for Disease Control guidelines approach was used, and a post-EOS calculator-implementation period (June 2018-December 2019).

RESULTS

We included 4363 newborn infants with gestational age ≥35 weeks, respectively 824 in baseline period and 3539 in the EOS calculator period. Among them, 1021 (23.4%) infants presented risk factors for neonatal sepsis. There was a halving in empirical antibiotics exposure: 3% in the baseline and 1.4% in the post-EOS-implementation period, P < 0.05. Blood culture and laboratory evaluations had fallen from 30.6% to 15.4% (P < 0.05). Close monitoring of vital parameters decreased from 25.4% to 4.8% (P < 0.05). The number of antibiotic days per 100 live births decreased from 15.05 to 6.36 days (P <0.05). The incidence of culture-confirmed sepsis and clinical sepsis was very low in 2 periods. Only one infant identified at low-risk by Kaiser calculator at birth developed symptoms after 12 h from birth. We had no readmissions for EOS.

CONCLUSIONS

Application of the EOS calculator more than halved the burden of intensive monitoring and antibiotic exposure, without compromising safety in a population with a relatively low incidence of culture-proven EOS and good access to follow-up care.

Delivery Characteristics and the Risk of Early-Onset Neonatal Sepsis

BACKGROUND AND OBJECTIVES

Multiple strategies are used to identify newborn infants at high risk of culture-confirmed early-onset sepsis (EOS). Delivery characteristics have been used to identify preterm infants at lowest risk of infection to guide initiation of empirical antibiotics. Our objectives were to identify term and preterm infants at lowest risk of EOS using delivery characteristics and to determine antibiotic use among them.

METHODS

This was a retrospective cohort study of term and preterm infants born January 1, 2009 to December 31, 2014, with blood culture with or without cerebrospinal fluid culture obtained ≤72 hours after birth. Criteria for determining low EOS risk included: cesarean delivery, without labor or membrane rupture before delivery, and no antepartum concern for intraamniotic infection or nonreassuring fetal status. We determined the association between these characteristics, incidence of EOS, and antibiotic duration among infants without EOS.

RESULTS

Among 53 575 births, 7549 infants (14.1%) were evaluated and 41 (0.5%) of those evaluated had EOS. Low-risk delivery characteristics were present for 1121 (14.8%) evaluated infants, and none had EOS. Whereas antibiotics were initiated in a lower proportion of these infants (80.4% vs 91.0%, P < .001), duration of antibiotics administered to infants born with and without low-risk characteristics was not different (adjusted difference 0.6 hours, 95% CI [-3.8, 5.1]).

CONCLUSIONS

Risk of EOS among infants with low-risk delivery characteristics is extremely low. Despite this, a substantial proportion of these infants are administered antibiotics. Delivery characteristics should inform empirical antibiotic management decisions among infants born at all gestational ages.

A Clinical Monitoring Approach for Early Onset Sepsis: A Community Hospital Experience

BACKGROUND

A serial clinical examination approach to screen late preterm and term neonates at risk for early onset sepsis has been shown to be effective in large academic centers, resulting in reductions in laboratory testing and antibiotic use. The implementation of this approach in a community hospital setting has not been reported. Our objective was to adapt a clinical examination approach to our community hospital, aiming to reduce antibiotic exposure and laboratory testing.

METHODS

At a community hospital with a level III NICU and >4500 deliveries annually, the pathway to evaluate neonates ≥35 weeks at risk for early onset sepsis was revised to focus on clinical examination. Well-appearing neonates regardless of perinatal risk factor were admitted to the mother baby unit with serial vital signs and clinical examinations performed by a nurse. Neonates symptomatic at birth or who became symptomatic received laboratory evaluation and/or antibiotic treatment. Antibiotic use, laboratory testing, and culture results were evaluated for the 14 months before and 19 months after implementation.

RESULTS

After implementation of the revised pathway, antibiotic use decreased from 6.7% (n = 314/4694) to 2.6% (n = 153/5937; P < .001). Measurement of C-reactive protein decreased from 13.3% (n = 626/4694) to 5.3% (n = 312/5937; P < .001). No cases of culture-positive sepsis occurred, and no neonate was readmitted within 30 days from birth with a positive blood culture.

CONCLUSIONS

A screening approach for early onset sepsis focused on clinical examination was successfully implemented at a community hospital setting resulting in reduction of antibiotic use and laboratory testing without adverse outcomes.

A Quality Improvement Project to Reduce Antibiotic Utilization and Ancillary Laboratory Tests in the Appraisal of Early-Onset Sepsis in the NICU

BACKGROUND

Diagnosis and treatment of early-onset sepsis (EOS) of the newborn remains a controversial issue among providers due to the non-infectious symptomology which exists in the newborn period.

METHODS

Pre/post interventional quality improvement project in a level III NICU to reduce antibiotic utilization and ancillary laboratory tests with the introduction of an evidence-based guideline for the evaluation of EOS in the NICU.

RESULTS

Primary outcome measures include mean number of empiric antibiotic treatment days and utilization rate (AUR), number of laboratory tests ordered, and incidence of unwarranted antibiotic therapy beyond the 48-h rule out period. Mean empiric antibiotic treatment days decreased from 2.94 to 1.58 days and overall antibiotic use decreased from 73.7% to 57.1%. Likewise, the mean AUR decreased from 212.5 to 147.6 days of therapy per 1000 patient days. There was an 86% decline in the number of ancillary tests and unwarranted antibiotic use beyond 48- h was reduced by 74%.

DISCUSSION

Guidelines for EOS of the newborn should include a thorough baseline evaluation of the drivers of antibiotic use to create an evidence-based foundation. Reducing unnecessary antibiotic use and EOS evaluations in a safe and effective manner have the potential to lower consumer and healthcare expenditures while improving the long-term health of the newborn in the NICU.

CONCLUSIONS

These findings emphasize the importance of implementing an evidence-based protocol for antibiotic stewardship in the NICU. With further research there is the potential to improve the healthcare of newborns while reducing expenditures in a safe, effective evaluation of EOS in the newborn population.

The Term Newborn: Early-Onset Sepsis

The changing epidemiology of early-onset neonatal sepsis among term infants has required reappraisal of approaches to management of newborn infants at potential risk. As this is now a rare disease, new strategies for reduction in diagnostic testing and empirical treatment have been developed. Adoption and refinement of these strategies should be a priority for all facilities where babies are born.

Stratification of Culture-Proven Early-Onset Sepsis Cases by the Neonatal Early-Onset Sepsis Calculator: An Individual Patient Data Meta-Analysis

OBJECTIVES

To provide a comprehensive assessment of case stratification by the Neonatal Early-Onset Sepsis (EOS) Calculator, a novel tool for reducing unnecessary antibiotic treatment.

STUDY DESIGN

A systematic review with individual patient data meta-analysis was conducted, extending PROSPERO record CRD42018116188. Cochrane, PubMed/MEDLINE, EMBASE, Web of Science, Google Scholar, and major conference proceedings were searched from 2011 through May 1, 2020. Original data studies including culture-proven EOS case(s) with EOS Calculator application, independent from EOS Calculator development, and including representative birth cohorts were included. Relevant (individual patient) data were extracted from full-text and data queries. The main outcomes were the proportions of EOS cases assigned to risk categories by the EOS Calculator at initial assessment and within 12 hours. Evidence quality was assessed using Newcastle-Ottawa scale, Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies, and GRADE tools.

RESULTS

Among 543 unique search results, 18 were included, totaling more than 459 000 newborns. Among 234 EOS cases, EOS Calculator application resulted in initial assignments to (strong consideration of) empiric antibiotic administration for 95 (40.6%; 95% CI, 34.2%-47.2%), more frequent vital signs for 36 (15.4%; 95% CI, 11.0%-20.7%), and routine care for 103 (44.0%; 95% CI, 37.6%-50.6%). By 12 hours of age, these proportions changed to 143 (61.1%; 95% CI, 54.5%-67.4%), 26 (11.1%; 95% CI, 7.4%-15.9%), and 65 (27.8%; 95% CI, 22.1%-34.0%) of 234 EOS cases, respectively.

CONCLUSIONS

EOS Calculator application assigns frequent vital signs or routine care to a substantial proportion of EOS cases. Clinical vigilance remains essential for all newborns.

Cost savings from use of a neonatal sepsis calculator in Australia: A modelled economic analysis

AIM

To estimate the change in average cost and length of stay (LOS) for the neonatal birth admission resulting from use of the neonatal early-onset sepsis (EOS) calculator compared to guideline-based management, in an Australian perinatal health-care setting.

METHODS

A decision-analytic model (decision tree) was constructed to assess admission cost and LOS with EOS calculator use compared to guideline-based management. Probabilities of clinical sepsis-related outcomes were obtained via review of published literature. Costs and average LOS were obtained from Australia's Independent Hospital Pricing Authority.

RESULTS

EOS calculator use was associated with a reduction in costs of AUD$25806 and in average LOS of 25.4 days per 1000 babies born. Sensitivity analyses demonstrated greater net benefits could be expected for services where there is a higher baseline rate of antibiotic use.

CONCLUSION

This model demonstrates a significant cost reduction for the neonatal birth admission, associated with use of the EOS calculator as compared to existing guidelines. The net benefit may be greater in Australia, where rates of empiric antibiotic use are reportedly high, compared to some European countries and the United States. Future research opportunities include prospective collection of economic data alongside the introduction of the EOS calculator.

[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.

Use of Early-Onset Sepsis Risk Calculator for Neonates ≥ 34 Weeks in a Large Tertiary Neonatal Centre, Saudi Arabia

Early-onset sepsis (EOS) refers to sepsis with onset before 72 hours of life. Kaiser Permanente Calculator (KPC) or EOS risk calculator is an advanced multivariate risk model for predicting EOS in infants.

Objective

To examine the EOS risk calculator effect for predicting neonatal EOS, the necessity for laboratory tests, antibiotic usage, and length of hospital stay among the term and late-preterm newborns.

Method

In this cross-sectional study, we evaluated 44 cases of neonates ≥34 weeks of gestation started on empiric antibiotics within 72 hours after birth due to suspected EOS at the neonatal intensive care unit (NICU). The study site is a 1,500-bed teaching hospital, with around 4,500 annual deliveries, 70 beds in the level II and level III tertiary care NICU. We calculated the risk of the incidence of EOS as one per 1000 live births. Then we retrospectively calculated the probability of neonatal early-onset infection at birth based on the EOS risk calculator and assigned each neonate to one of the recommended categories of the calculator. The primary outcome was to evaluate the infection risk calculator's effect for predicting neonatal EOS and antibiotic usage among the term and late-preterm newborns ≥34 weeks of gestation.

Results

In our data, EOS calculator showed unnecessary antibiotic usage for 12 (27.3%) neonates [relative risk reduction (RRR) 27.2%; 95% confidence interval (CI) 20.3% - 35.7%)]. EOS risk calculator implementation may decrease in the number of NICU admission (RRR 20.4%; 95% CI 14.3% - 28%), laboratory tests (RRR 20.4%; 95% CI 14.3% - 28%), and length of stay (RRR 25%; 95% CI 38% - 95%).

Conclusion

EOS calculator could be considered a strategic and objective implementation for managing EOS that can limit unnecessary laboratory tests, reduce antibiotic usage, and length of stay related to EOS. Our findings ensure a multicenter, randomized study evaluating the safety and general use of the calculator for EOS sepsis in Saudi Arabia's clinical practice. 

Economics at the frontline: Tools and tips for busy clinicians

Frontline providers of neonatal care have a moral imperative to enhance value and inform senior administrators of how to most efficiently spend healthcare dollars. This article argues that the frontline is the ideal setting to pursue these efforts, offers recommendations for how to measure value, and describes five simple yet effective concrete tools that can improve value. It concludes with tips on advancing a value-added agenda through the Model for Improvement and advice for teams on ways of approaching senior leaders to help align unit-level aims with system-level goals and mission. Armed with these instruments, multidisciplinary teams can help ensure that neonatal care remains at the forefront of high-value healthcare.

A comparison between risk-factor guidance for neonatal early-onset sepsis and Kaiser Permanente sepsis risk calculator in a Greek cohort

BACKGROUND

The management of neonates with early-onset sepsis (EOS) is based on maternal risk factors and infant clinical indications. An online sepsis risk calculator (SRC) has been established taking into consideration how clinical appearance modifies the initial risk for EOS.

AIMS

To compare our clinical practice based on risk-factor guidance with that projected through the application of the SRC.

STUDY DESIGN

Retrospective cohort study.

METHODS

All neonates ≥34 weeks' gestation, during 01/2019-8/2020. The SRC was applied retrospectively to determine the recommendation. EOS was defined based on a positive blood or cerebrospinal fluid culture-proven infection within 72 h of age. Clinical sepsis was defined according to the European Medicine Agency criteria.

OUTCOME MEASURES

Differences on antibiotic administration and management.

RESULTS

Overall, 2084 infants were identified, of whom 150 (7%) received antibiotics. Of them, 34 infants were diagnosed with clinical sepsis, while one was diagnosed with culture positive-proven EOS. Applying SRC, 87 (4%) infants would have received antibiotics. Clinical sepsis was diagnosed in 29 infants, while one infant had culture positive-proven EOS. Sixty-seven of 150 (45%) infants that received antibiotics would not have been treated based on SRC; five infants that developed clinical sepsis would have been missed with SRC. A 99.7% agreement between both guidance was found regarding infants not indicated for antibiotics. SRC application led to an absolute reduction of antibiotic administration by 2.93% (95% CI 2.19-3.75), p < 0.0001.

CONCLUSIONS

The adoption of SRC would have significantly reduced antibiotic usage; however, a significant portion of cases with clinical EOS would have been missed.

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.

Updated Guidance: Prevention and Management of Perinatal Group B Streptococcus Infection

Group B Streptococcus (GBS) remains the most common cause of neonatal early-onset sepsis among term infants and a major cause of late-onset sepsis among both term and preterm infants. The American Academy of Pediatrics and the American College of Obstetricians and Gynecologists published separate but aligned guidelines in 2019 and 2020 for the prevention and management of perinatal GBS disease. Together, these replace prior consensus guidelines provided by the Centers for Disease Control and Prevention. Maternal intrapartum antibiotic prophylaxis based on antenatal screening for GBS colonization remains the primary recommended approach to prevent perinatal GBS disease, though the optimal window for screening is changed to 36 0/7 to 37 6/7 weeks of gestation rather than beginning at 35 0/7 weeks' gestation. Penicillin, ampicillin, or cefazolin are recommended for prophylaxis, with clindamycin and vancomycin reserved for cases of significant maternal penicillin allergy. Pregnant women with a history of penicillin allergy are now recommended to undergo skin testing, because confirmation of or delabeling from a penicillin allergy can provide both short- and long-term health benefits. Aligned with the American Academy of Pediatrics recommendations for evaluating newborns for all causes of early-onset sepsis, separate consideration should be given to infants born at less than 35 weeks' and more than or equal to 35 weeks' gestation when performing GBS risk assessment. Empiric antibiotics are recommended for infants at high risk for GBS early-onset disease. Although intrapartum antibiotic prophylaxis is effective in preventing GBS early-onset disease, currently there is no approach for the prevention of GBS late-onset disease.

C-reactive protein and the neonatal early-onset sepsis calculator for the diagnosis of neonatal sepsis

Our aim was to evaluate the utility of the neonatal early-onset sepsis risk calculator (NEOSC) to the utility of C-reactive protein (CRP) for diagnosing neonatal EOS. This retrospective study reviewed the records of neonates who underwent sepsis workups due to equivocal symptoms and compared their CRP values to the calculator's recommendations and their cultures. A total of 382 newborns who underwent sepsis work-up due to equivocal symptoms were included in our study. The calculator's recommendations would have reduced the number of newborns who underwent sepsis workups by 82.5% and antibiotic treatment by 83.4% (n = 315). Considering that 373 of 382 (97.6%) ultimately had no sepsis, the calculator's specificity was higher than that of CRP (83.9% versus 76.1%). When comparing the maximal CRP value with the risk according to the neonatal sepsis calculator, a significant correlation was found between them (P < 0.01), but the relationship was not strong (Pearson's correlation = 0.27). We found a significant correlation between the risk of sepsis according to the NEOSC and the CRP values, although the correlation was not strong. The calculator's high specificity enables safe avoidance of multiple blood tests and antibiotic treatments for suspected neonates who are not infected. CRP tests can reduce the number of infected newborns the calculator may miss, at the cost of unnecessary blood tests and antibiotic therapy to many newborns.

Language models are an effective representation learning technique for electronic health record data

Widespread adoption of electronic health records (EHRs) has fueled the development of using machine learning to build prediction models for various clinical outcomes. However, this process is often constrained by having a relatively small number of patient records for training the model. We demonstrate that using patient representation schemes inspired from techniques in natural language processing can increase the accuracy of clinical prediction models by transferring information learned from the entire patient population to the task of training a specific model, where only a subset of the population is relevant. Such patient representation schemes enable a 3.5% mean improvement in AUROC on five prediction tasks compared to standard baselines, with the average improvement rising to 19% when only a small number of patient records are available for training the clinical prediction model.

Early-onset sepsis in term infants admitted to neonatal intensive care units (2011-2016)

OBJECTIVES

Investigate characteristics of term infants culture-evaluated for early-onset sepsis (EOS) in neonatal intensive care units (NICUs), frequencies of organisms causing EOS, and factors associated with EOS.

STUDY DESIGN

Using a cohort design, we identified term infants evaluated for EOS with blood, cerebrospinal fluid, or urine cultures in 326 NICUs (2011-2016). Using multivariable logistic regression, we investigated the association between EOS and demographic characteristics.

RESULTS

Of 142,410 infants, 1197 (0.8%) had EOS, most commonly caused by group B Streptococcus (GBS; 40.6%). Lower EOS risk was associated with low Apgar score, Cesarean delivery, small for gestational age, prenatal antibiotic exposure, and positive or unknown maternal GBS screening result. Increased risk was associated with prolonged rupture of membranes, maternal age <19 years, vasopressor treatment, and ventilator support.

CONCLUSION(S)

GBS was the most frequent cause of EOS. Early risk factor recognition may help daily management of term infants in NICUs.

Real-world implementation of precision psychiatry: Transdiagnostic risk calculator for the automatic detection of individuals at-risk of psychosis

BACKGROUND

Risk estimation models integrated into Electronic Health Records (EHRs) can deliver innovative approaches in psychiatry, but clinicians' endorsement and their real-world usability are unknown. This study aimed to investigate the real-world feasibility of implementing an individualised, transdiagnostic risk calculator to automatically screen EHRs and detect individuals at-risk for psychosis.

METHODS

Feasibility implementation study encompassing an in-vitro phase (March 2018 to May 2018) and in-vivo phase (May 2018 to April 2019). The in-vitro phase addressed implementation barriers and embedded the risk calculator (predictors: age, gender, ethnicity, index cluster diagnosis, age*gender) into the local EHR. The in-vivo phase investigated the real-world feasibility of screening individuals accessing secondary mental healthcare at the South London and Maudsley NHS Trust. The primary outcome was adherence of clinicians to automatic EHR screening, defined by the proportion of clinicians who responded to alerts from the risk calculator, over those contacted.

RESULTS

In-vitro phase: implementation barriers were identified/overcome with clinician and service user engagement, and the calculator was successfully integrated into the local EHR through the CogStack platform. In-vivo phase: 3722 individuals were automatically screened and 115 were detected. Clinician adherence was 74% without outreach and 85% with outreach. One-third of clinicians responded to the first email (37.1%) or phone calls (33.7%). Among those detected, cumulative risk of developing psychosis was 12% at six-month follow-up.

CONCLUSION

This is the first implementation study suggesting that combining precision psychiatry and EHR methods to improve detection of individuals with emerging psychosis is feasible. Future psychiatric implementation research is urgently needed.

Hospital variation in admissions to neonatal intensive care units by diagnosis severity and category

OBJECTIVE

To examine interhospital variation in admissions to neonatal intensive care units (NICU) and reasons for the variation.

STUDY DESIGN

2010-2012 linked birth certificate and hospital discharge data from 35 hospitals in California on live births at 35-42 weeks gestation and ≥1500 g birth weight were used. Hospital variation in NICU admission rates was assessed by coefficient of variation. Patient/hospital characteristics associated with NICU admissions were identified by multivariable regression.

RESULTS

Among 276,489 newborns, 6.3% were admitted to NICU with 34.5% of them having mild diagnoses. There was high interhospital variation in overall risk-adjusted rate of NICU admission (coefficient of variation = 26.2) and NICU admission rates for mild diagnoses (coefficient of variation: 46.4-74.0), but lower variation for moderate/severe diagnoses (coefficient of variation: 8.8-14.1). Births at hospitals with more NICU beds had a higher likelihood of NICU admission.

CONCLUSION

Interhospital variation in NICU admissions is mostly driven by admissions for mild diagnoses, suggesting potential overuse.

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.

Infection control and other stewardship strategies in late onset sepsis, necrotizing enterocolitis, and localized infection in the neonatal intensive care unit

Suspected or proven late onset sepsis, necrotizing enterocolitis, urinary tract infections, and ventilator associated pneumonia occurring after the first postnatal days contribute significantly to the total antibiotic exposures in neonatal intensive care units. The variability in definitions and diagnostic criteria in these conditions lead to unnecessary antibiotic use. The length of treatment and choice of antimicrobial agents for presumed and proven episodes also vary among centers due to a lack of supportive evidence and guidelines. Implementation of robust antibiotic stewardship programs can encourage compliance with appropriate dosages and narrow-spectrum regimens.

Antibiotic stewardship for early-onset sepsis

Antibiotics are administered to the vast majority of preterm newborns and to a substantial proportion of term infants in the hours after birth due to risk for early-onset sepsis. The approaches taken to determine which newborns should be evaluated for early-onset sepsis, and what type and duration of antibiotics are administered, are important elements of neonatal antibiotic stewardship. The use of multivariate prediction models for sepsis risk assessment among infants born ≥35 weeks' gestation can safely reduce the use of empiric antibiotic therapy. Approaches incorporating serial physical examination may also contribute to decreasing empiric antibiotic exposure among such infants. Among infants born <35 weeks' gestation, delivery characteristics can be used to identify preterm infants at low enough risk of early infection that empiric therapies are not required. Data informing the epidemiology, microbiology and antibiotic susceptibility patterns of early-onset sepsis pathogens can be used to optimize antibiotic choice for empiric and targeted antibiotic therapy to ensure that effective therapies are administered, while decreasing the risks associated with broad-spectrum antibiotic exposure. Optimal use of blood culture and time to positivity data can also contribute to decreasing the risks associated with prolonged antibiotic administration in the face of sterile cultures.

Multivariate risk and clinical signs evaluations for early-onset sepsis on late preterm and term newborns and their economic impact

There is an increasing evidence that strict evaluation of clinical signs is effective in detecting newborns at risk of early-onset sepsis (EOS) that require antibiotic therapy. In a retrospective case control design, we compared EOS antibiotic indication by clinical signs surveillance with multivariate risk analysis (EOSCalc), and estimate their costs. Newborns ≥ 34 weeks who received EOS antibiotics from June 2014 to December 2016 were studied. Were considered symptomatic those with three clinical signs within first 24 h or two signs and one risk factor present. Cost estimative was done using bottom-up hospital's perspective. Eight thousand three hundred twenty-one were born, 384 were included. Two hundred nineteen (57%) would receive antibiotics by EOSCalc and 64 (16.7%) by clinical signs (p < 0.001). All patients with blood cultures were detected and false-negatives were absent. Total cost was US$ 574,121, estimate US$ 415,576 by EOSCalc, and US$ 314,353 by clinical signs (p < 0.001).Conclusions: The use of EOSCalc and clinical signs surveillance seem to be safe and accurate methods in EOS management. Additionally, the two approaches have shown an economic advantage when compared with the hospital's current practice. What is Known: • EOSCalc is a useful method for screening of EOS in late preterm and term infants. • Presence of clinical signs and/or maternal risk factors are present newborns with EOS. What is New: • Rigorous observation of clinical signs is a more accurate method than EOSCalc to screen for EOS in late preterm and term newborns. • Rigorous observation of clinical signs is more economic than EOSCalc in managing EOS in late preterm and term neonates.

Role of microbiological tests and biomarkers in antibiotic stewardship

Laboratory tests are critical in the detection and timely treatment of infection. Two categories of tests are commonly used in neonatal sepsis management: those that identify the pathogen and those that detect host response to a potential pathogen. Decision-making around antibiotic choice is related to the performance of tests that directly identify pathogens. Advances in these tests hold the key to progress in antibiotic stewardship. Tests measuring host response, on the other hand, are an indirect marker of potential infection. While an important measure of the patient's clinical state, in the absence of pathogen detection these tests cannot confirm the appropriateness of antibiotic selection. The overall impact these tests then have on antibiotic utilization depends the test's specificity for bacterial infection, clinical scenario where it is being used and the decision-rule it is being integrated into for use. In this review we discuss common and emerging laboratory tests available for assisting management of neonatal infection and specifically focus on the role they play in optimizing antibiotic utilization.

Maternal Morbidity and Birth Satisfaction After Implementation of a Validated Calculator to Predict Cesarean Delivery During Labor Induction

IMPORTANCE

A previously created and validated calculator provides an individualized cesarean delivery risk score for women undergoing labor induction. A higher predicted risk of cesarean delivery on the calculator has been associated with increased maternal and neonatal morbidity regardless of ultimate delivery mode. The effect of this calculator when implemented in clinical care has yet to be evaluated.

OBJECTIVE

To determine whether implementation of a validated calculator that predicts the likelihood of cesarean delivery at the time of labor induction is associated with maternal morbidity and birth satisfaction.

DESIGN, SETTING, AND PARTICIPANTS

This prospective cohort study used medical record review to compare the 1 year before calculator implementation (July 1, 2017, to June 30, 2018) with the 1 year after implementation (July 1, 2018, to June 30, 2019) at a US urban, university labor unit. Women admitted for labor induction with singleton gestation in cephalic presentation, intact membranes, and an unfavorable cervix were included. Data were analyzed from August 1, 2019, to September 13, 2020.

EXPOSURES

Patient and clinician knowledge of the calculated cesarean delivery risk score based on the validated calculator.

MAIN OUTCOMES AND MEASURES

The primary outcomes were (1) composite maternal morbidity defined by at least 1 of the following within 30 days of delivery: endometritis, postpartum hemorrhage (estimated or quantitative blood loss >1000 mL), blood transfusion, wound infection, venous thromboembolism, hysterectomy, intensive care unit admission, and readmission and (2) patient satisfaction assessed via Birth Satisfaction Scale-Revised (BSS-R) scores. Secondary outcomes included rate of cesarean delivery and neonatal morbidity.

RESULTS

A total of 1610 women were included in the analysis (788 in the preimplementation and 822 in the postimplementation periods) with a median age of 29 (interquartile range [IQR], 24-34) years. There were no significant baseline differences between groups except fewer inductions at a gestational age of 40 weeks or later in the postimplementation period (256 [31.1%] vs 298 [37.8%]). Calculator implementation was associated with decreased maternal morbidity overall, even when adjusting for confounders (141 [17.9%] vs 95 [11.6%]; adjusted absolute risk difference [aARD], -6.3%; 95% CI, -9.7% to -2.8%). Although there was no difference in birth satisfaction overall, calculator implementation was associated with improvements on items pertaining to quality of care provision (median BSS-R score, 19 [IQR, 16-20] vs 19 [IQR, 17-20]; P = .006). Calculator implementation was also associated with a decrease in cesarean delivery rate (228 [28.9%] vs 167 [20.3%]; aARD, -8.5% [95% CI, -12.6% to -4.5%]). There were no significant differences in neonatal morbidity.

CONCLUSIONS AND RELEVANCE

These findings suggest that implementation of a validated calculator to predict risk of cesarean delivery in clinical care is associated with reduced maternal morbidity. Implementation should occur broadly to determine whether calculator use improves national maternal outcomes.

Comparison of the management recommendations of the Kaiser Permanente neonatal early-onset sepsis risk calculator (SRC) with NICE guideline CG149 in infants ≥34 weeks' gestation who developed early-onset sepsis

OBJECTIVE

To compare the management recommendations of the Kaiser Permanente neonatal early-onset sepsis risk calculator (SRC) with National Institute for Health and Care Excellence (NICE) guideline CG149 in infants ≥34 weeks' gestation who developed early-onset sepsis (EOS).

DESIGN

Retrospective multicentre study.

SETTING

Five maternity services in South West of England and Wales.

PATIENTS

70 infants with EOS (<72 hours) confirmed on blood or cerebrospinal fluid culture.

METHODS

Retrospective virtual application of NICE and SRC through review of maternal and neonatal notes.

MAIN OUTCOME MEASURE

The number of infants recommended antibiotics by 4 hours of birth.

RESULTS

The incidence of EOS ≥34 weeks was 0.5/1000 live births. Within 4 hours of birth, antibiotics were recommended for 39 infants (55.7%) with NICE, compared with 27 (38.6%) with SRC. The 12 infants advised early treatment by NICE but not SRC remained well, only one showing transient mild symptoms after 4 hours. Another four babies received antibiotics by 4 hours outside NICE and SRC guidance. The remaining 27 infants (38.6%) received antibiotics when symptomatic after 4 hours. Only one infant who was unwell from birth, died. Eighty-one per cent of all EOS infants were treated for clinical reasons rather than for risk factors alone.

CONCLUSION

While both tools were poor in identifying EOS within 4 hours, NICE was superior to SRC in identifying asymptomatic cases. Currently, four out of five EOS have symptoms at first identification, the majority of whom present within 24 hours of birth. Antibiotic stewardship programmes using SRC should include enhanced observation for infants currently treated within NICE guidance.

Technical assessment of the neonatal early-onset sepsis risk calculator

The use of the neonatal early-onset sepsis risk calculator, developed by Kaiser Permanente Northern California (CA, USA), is increasing for the management of late preterm and full term newborn babies at risk for early-onset sepsis. The calculator is based on a robust logistic regression model that provides quantitative individualised estimates of early-onset sepsis risk. Low sensitivity for prediction of sepsis at birth shows that standard perinatal risk factors alone are insufficient for ascertainment of neonatal early-onset sepsis. Performance is improved by the addition of physical examination findings at birth, but the sensitivity of combined findings remains limited. The present implementation of the calculator integrates risk factors and examination findings. A methodological error in adapting the regression for application in the population (rather than the development sample) and several subsequent modifications compromise the accuracy of quantitative predictions of the absolute risk of sepsis, but these factors are not expected to seriously undermine the use of the calculator for risk stratification. The calculator has served as an instrument of change away from previously recommended categorical risk ascertainment strategies, and its implementation reduces the need for diagnostic testing and empirical antibiotic treatment without apparent ill effects. However, the calculator should not be relied on to provide accurate estimates for individuals with regard to absolute risk of early-onset sepsis in newborn babies.

Implementation of a Modified Neonatal Early-onset Sepsis Calculator in Well-baby Nursery: a Quality Improvement Study

Supplemental Digital Content is available in the text.

Background:

The use of sepsis risk scores (SRSs), calculated based on the neonatal early-onset sepsis (EOS) calculator, has been shown to limit the unwarranted sepsis evaluations and to reduce the empirical use of antibiotics in neonates.s

Purpose:

To reduce both the sepsis evaluation rate (SER) and antibiotic initiation rate (AIR) by 25% from baseline by incorporating conservative SRS cutoff values into the routine sepsis risk assessment of well-appearing neonates born at 34 weeks and older gestation.

Methods:

During a pre quality improvement (QI) period (June 2016–August 2016), a QI team calculated SRS on all newborn infants to determine safe SRS cutoff values. During the QI-study period (September 2016–November 2017), we implemented an EOS evaluation algorithm based on 2 SRS cutoff values, 0.05 (later increased to 0.1) for sepsis evaluation and 0.3 for the initiation of antibiotic therapy. Monthly SER and AIR were summarized and analyzed by using standard statistical tests and statistical process control charts. During the surveillance phase (January 2019–June 2019), we evaluated whether previously attained improvements in SER and AIR were sustained.

Results:

During the pre-QI period, the mean (±SD) of monthly SER and monthly AIR were 23.8% (±5.7%) and 6.2% (±0.4%), respectively. During the QI-study period, the mean (±SD) of monthly SER and monthly AIR decreased to 15% (±4.7%), P = 0.01, and 3.2% (±1.5%), P = 0.005, respectively. During the surveillance period, both outcome measures were comparable with the QI-study period.

Conclusion:

The implementation of a modified EOS calculator-based EOS algorithm using a conservative approach was successful in reducing antibiotic exposure and the need for blood work in well-appearing neonates.