Development and Implementation of an Early-Onset Sepsis Calculator to Guide Antibiotic Management in Late Preterm and Term Neonates

Validation of the obstetric comorbidities index for predicting maternal mortality and severe maternal morbidity in South Korea

To validate the Obstetric Comorbidity Index (OB-CMI) and estimate its predictive and discriminative performance for maternal outcomes in the South Korean population. This study used data on births from the National Health Insurance Service Delivery Cohort database in South Korea. The data on pregnant people who gave birth during 2003-2019 were included. The obstetric comorbidities were identified using the Bateman's OB-CMI. The outcomes were severe maternal morbidity (SMM) as defined by the CDC in the US; severe acute maternal morbidity (SAMM), as defined by EURONET; and maternal death within 30 days postpartum. The predictive and discriminative abilities of the index were calculated using the Brier score and area under the receiver operating characteristic curve (AUC). Of 6,527,810 births, 143,392 (2.2%), 84,994 (1.3%), and 555 (< 0.1%) resulted in SMM, SAMM, and maternal death, respectively. The predictive ability and discriminative performance of the OB-CMI were moderate and good (Brier scores of 0.02, 0.01, and 0.00 and AUC of 0.72, 0.68, and 0.78 for SMM, SAMM, and maternal death, respectively). The OB-CMI demonstrated moderate and good predictive and discriminative performance for SMM, SAMM, and maternal mortality in the South Korean population. These findings align with previous research, supporting OB-CMI as a valuable tool for identifying high-risk pregnancies.

Neonatal Bacterial Meningitis: What Have We Learned From the Last Decade?

Bacterial meningitis is a devastating disease with significant morbidity and mortality, especially in neonates and young infants. The overall incidence of meningitis has decreased with focused screening, public health interventions, and vaccination, but the disease remains a significant concern in high-risk groups. In this review, we provide an update on bacterial meningitis in children younger than age 60 days, including epidemiology, clinical presentation, diagnostic approaches, treatment, and prognosis. [Pediatr Ann. 2024;53(11):e425-e432.].

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.

Improving the Treatment of Neonatal Sepsis in Resource-Limited Settings: Gaps and Recommendations

Neonatal sepsis causes significant global morbidity and mortality, with the highest burden in resource-limited settings where 99% of neonatal deaths occur. There are multiple challenges to achieving successful treatment of neonates in this setting. Firstly, reliable and low-cost strategies for risk identification are urgently needed to facilitate treatment as early as possible. Improved laboratory capacity to allow identification of causative organisms would support antimicrobial stewardship. Antibiotic treatment is still hampered by availability, but also increasingly by antimicrobial resistance - making surveillance of organisms and judicious antibiotic use a priority. Finally, supportive care is key in the management of the neonate with sepsis and has been underrecognized as a priority in resource-limited settings. This includes fluid balance and nutritional support in the acute phase, and follow-up care in order to mitigate complications and optimise long-term outcomes. There is much more work to be done in identifying the holistic needs of neonates and their families to provide effective family-integrated interventions and complete the package of neonatal sepsis management in resource-limited settings.

Possible Rates of Detection of Neonatal Sepsis Pathogens in the Context of Microbiological Diagnostics in Mothers - Real World Data

Objective

The aim of this study was to identify the rate of detection of neonatal sepsis pathogens in maternal microbiological smears.

Study Design

This is a retrospective study conducted at a Level 1 perinatal center in the context of routine care from 2014 to 2019. For all premature infants and neonates with neonatal sepsis, the neonatal and maternal microbiological findings were examined to see if there was a match.

Results

During the study period, a total of 948 premature or newborn infants were identified as having a neonatal infection. Among all of the premature or newborn infants, 209 (22%) met the diagnostic criteria for neonatal sepsis; of these, 157 were premature births and 52 were full-term births. We evaluated the microbiological findings for these 209 mother and child pairs. No pathogens were detected in 27 out of 157 mothers of premature infants (17.1%) and in 31 out of 52 mothers of full-term infants (59.6%). In the premature infant group there were pairs with matching pathogens in 30 out of 130 cases (23.1%, 95% CI: 16.1-31.3), and in the full-term infant group there was a match in 4 out of 21 cases (19%, 95% CI: 5.4-41.9). The number needed to test to have a 90% probability of success for pathogen detection varies between 9 and 11 in the most favorable case and 26 and 32 in the least favorable case, depending on the evaluation method.

Conclusion

In cases of neonatal sepsis, the sepsis-causing pathogen was successfully detected through prior analysis of a maternal smear in 7% of full-term infants and in 19% of premature infants. The number needed to test was relatively high in all groups. The value of maternal smears for identifying neonatal sepsis-causing pathogens needs to be critically questioned.

Enhanced Category-Based Risk Assessment for Neonatal Early-Onset Sepsis: A Prospective Observational Study

INTRODUCTION

Compared with multivariate risk assessment, traditional category-based risk assessment (CRA) approaches for neonatal early-onset sepsis (EOS) screening are usually straightforward to use, do not require electronic devices, but are associated with higher rates of antibiotic use. This study aims to evaluate the performance of a novel enhanced CRA (eCRA) framework on EOS admissions and antibiotic use and to investigate whether a modified version with adjustments in risk factor weighting can allow its performance to match the EOS calculator while remaining easy to implement.

METHOD

This is a prospective, single-center, two-phase observational study. Infants of all gestations delivered in a tertiary hospital in Hong Kong with risk factors or clinical features of EOS were recruited.

PHASE I

A novel eCRA framework (period 2) was compared with the CDC 2010-based protocol (period 1).

PHASE II

A modified eCRA framework was compared theoretically with the EOS calculator. EOS-specific admissions and antibiotic use were measured.

RESULTS

Phase I: 1,025 at-risk infants were recruited during period 2 and compared with 757 infants of period 1. Admissions and antibiotic use decreased from 45.8% to 29.4% and 41.1% to 28.2%, respectively. Antibiotics among those at-risk but well-appearing infants decreased from 25.3% to 16.3% (p < 0.001 for all).

PHASE II

antibiotic use was similar (7.3 vs. 6.4%, p = 0.42) between the modified eCRA framework and the EOS calculator.

CONCLUSIONS

An eCRA framework can effectively and safely provide individualized guidance for EOS screening without the need for tools such as the EOS calculator.

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 and diagnostic factors and therapy outcome of neonatal early onset sepsis in ICU patients of Saudi Arabia: a systematic review and meta analysis

Background

Neonatal early onset sepsis (NEOS) is a serious and potentially life-threatening condition affecting newborns within the first few days of life. While the diagnosis of NEOS was based on clinical signs and symptoms in the past, recent years have seen growing interest in identifying specific diagnostic factors and optimizing therapy outcomes. This study aims to investigate the diagnostic and risk factors and therapy outcomes of neonatal EOS in ICU patients in Saudi Arabia, with the goal of improving the management of neonatal EOS in the country.

Methods

This method outlines the protocol development, search strategy, study selection, and data collection process for a systematic review on neonatal early onset sepsis in Saudi Arabian ICU patients, following the PRISMA 2020 guidelines. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is a well-established guideline that provides a framework for conducting systematic reviews and meta-analyses in a transparent and standardized manner. It aims to improve the quality and reporting of such research by ensuring clear and comprehensive reporting of study methods, results, and interpretations. The search strategy included electronic databases (PubMed, Embase, Google Scholar, Science Direct, and the Cochrane Library) and manual search of relevant studies, and data were extracted using a standardized form.

Results

The systematic review included 21 studies on neonatal sepsis in Saudi Arabia, with varying study designs, sample sizes, and prevalence rates of sepsis. Group B streptococcus and E. coli were the most commonly isolated pathogens. Various diagnostic factors and risk factors were reported, including hematological parameters, biomarkers, and blood cultures. The quality of the included studies was assessed using the Newcastle-Ottawa Scale and Joanna Briggs Institute critical checklist.

Conclusions

The review identified a number of risk and diagnostic factors and therapy outcomes for neonatal sepsis. However, most of the studies were having small scale cohort groups. Further research with controlled study designs is needed to develop effective prevention and management strategies for neonatal sepsis in Saudi Arabia.

Diagnosing early-onset neonatal sepsis in low-resource settings: development of a multivariable prediction model

OBJECTIVE

To develop a clinical prediction model to diagnose neonatal sepsis in low-resource settings.

DESIGN

Secondary analysis of data collected by the Neotree digital health system from 1 February 2019 to 31 March 2020. We used multivariable logistic regression with candidate predictors identified from expert opinion and literature review. Missing data were imputed using multivariate imputation and model performance was evaluated in the derivation cohort.

SETTING

A tertiary neonatal unit at Sally Mugabe Central Hospital, Zimbabwe.

PATIENTS

We included 2628 neonates aged <72 hours, gestation ≥32+0 weeks and birth weight ≥1500 g.

INTERVENTIONS

Participants received standard care as no specific interventions were dictated by the study protocol.

MAIN OUTCOME MEASURES

Clinical early-onset neonatal sepsis (within the first 72 hours of life), defined by the treating consultant neonatologist.

RESULTS

Clinical early-onset sepsis was diagnosed in 297 neonates (11%). The optimal model included eight predictors: maternal fever, offensive liquor, prolonged rupture of membranes, neonatal temperature, respiratory rate, activity, chest retractions and grunting. Receiver operating characteristic analysis gave an area under the curve of 0.74 (95% CI 0.70-0.77). For a sensitivity of 95% (92%-97%), corresponding specificity was 11% (10%-13%), positive predictive value 12% (11%-13%), negative predictive value 95% (92%-97%), positive likelihood ratio 1.1 (95% CI 1.0-1.1) and negative likelihood ratio 0.4 (95% CI 0.3-0.6).

CONCLUSIONS

Our clinical prediction model achieved high sensitivity with low specificity, suggesting it may be suited to excluding early-onset sepsis. Future work will validate and update this model before considering implementation within the Neotree.

Clinical Prediction Model Development and Validation for the Detection of Newborn Sepsis, Diagnostic Research Protocol

BACKGROUND

Neonatal sepsis is a leading cause of sickness and death in the entire world. Diagnosis is usually difficult because of the nonspecific clinical symptoms and the paucity of laboratory diagnostics in many low- and middle-income nations (LMICs). Clinical prediction models may increase diagnostic precision and rationalize the use of antibiotics in neonatal facilities, which could lead to a decrease in antimicrobial resistance and better neonatal outcomes. Early detection of newborn sepsis is critical to prevent serious consequences and reduce the need for unneeded drugs.

OBJECTIVE

The aim is to develop and validate a clinical prediction model for the detection of newborn sepsis.

METHODS

A cross-sectional study based on an institution will be carried out. The sample size was determined by assuming 10 events per predictor, based on this assumption, the total sample sizes were 467. Data will be collected using a structured checklist through chart review. Data will be coded, inputted, and analyzed using R statistical programming language version 4.0.4 after being entered into Epidata version 3.02 and further processed and analyzed. Bivariable logistic regression will be done to identify the relationship between each predictor and neonatal sepsis. In a multivariable logistic regression model, significant factors (P< 0.05) will be kept, while variables with (P< 0.25) from the bivariable analysis will be added. By calculating the area under the ROC curve (discrimination) and the calibration plot (calibration), respectively, the model's accuracy and goodness of fit will be evaluated.

Management of neonates with 35 weeks of gestational age or more with infectious risk factors at birth: opportunities for improvement

OBJECTIVES

The Northern California Kaiser-Permanente Neonatal Sepsis Risk Calculator (SRC) has proved to be safe and effective in reducing laboratory tests, hospital admissions, and administration of antibiotics to patients at risk of early-onset neonatal sepsis (EONS). Many studies have focused on maternal chorioamnionitis as the principal risk factor for EONS. We wanted to know if the use of the SRC could be equally efficient in the context of several other infectious risk factors (IRF), in addition to chorioamnionitis, such as intrapartum maternal fever, GBS colonization and/or prolonged rupture of membranes (PROM).

METHODS

Systematic study of neonates with ≥35 weeks gestational age (GA), born in our tertiary university hospital during a period of 18 months. Patients were retrospectively assessed with the SRC and its recommendations were compared with the actual management. A bivariate analysis of perinatal interventions, and outcomes was performed.

RESULTS

A total of 5,885 newborns were born during the study period and 1783 mothers (31%) had at least one IRF. The incidence of culture-proven EONS was 0.5‰. The use of the SRC would have reduced laboratory evaluations (CBC and CRP) from 56.2 to 23.3%, and blood cultures, hospital admissions and antibiotic therapy from 22.9 to 15.5%, 17.8 and 7.6%, respectively. The management based on patients' symptoms would have shown a reduction to 7.5% in all the outcomes of interest.

CONCLUSIONS

Both, the SRC and the management based on clinical findings, are safe and efficient to reduce the number of analytical studies, hospital admissions and administration of antibiotics to neonates with IRF.

NT-Pro-BNP and echocardiography for the early assessment of cardiovascular dysfunction in neonates with sepsis

To investigate the predictive manner of N-terminal fragment of brain natriuretic peptide (NT-Pro-BNP) and echocardiography in the early assessment of cardiovascular dysfunction (CVD) in neonates with sepsis, we recruited 108 neonates with sepsis in intensive care units and divided them into a sepsis with CVD (sepsis + CVD) group (n = 48) and a sepsis only group (n = 60). Neonates with other infections (n = 65) constituted the control group. Clinical, laboratory, and bedside echocardiography findings were evaluated. Compared to both the sepsis only and control groups, the sepsis + CVD group showed an earlier onset of symptoms [52.94 (0-185.6) h], higher NT-Pro-BNP levels (P = .02), a higher Tei index (0.52 + 0.03; P = .03), and lower ejection fraction (62.61% ± 12.31%, P < .05). Compared to the control group, the sepsis + CVD group exhibited hematogenous etiology (P < .05), lower albumin (ALB) levels (P = .04), lower white blood cell counts (P = .03), a higher high-sensitivity C-reactive protein/ALB ratio, and a larger right-ventricle-inner diameter (10.74 + 2.42 mm; P = .01). CVD in the septic neonates could be predicted by either NT-Pro-BNP levels (cut-off: 12,291.5 pg/L; sensitivity, 80%; specificity, 79%; area under the curve-receiver operating characteristic, 0.81) or Tei index (cut-off: 0.45; sensitivity, 74%; specificity, 77%; area under the curve-receiver operating characteristic, 0.78). NT-Pro-BNP levels and echocardiography can be used to determine early onset of CVD in neonatal sepsis, which facilitates timely pharmacological interventions and treatment.

Should we give antibiotics to neonates with mild non-progressive symptoms? A comparison of serial clinical observation and the neonatal sepsis risk calculator

OBJECTIVE

To compare two strategies [the neonatal sepsis risk calculator (NSC) and the updated serial clinical observation approach (SCO)] for the management of asymptomatic neonates at risk of early-onset sepsis (EOS) and neonates with mild non-progressive symptoms in the first hours of life.

METHODS

This was a single-center, retrospective cohort study conducted over 15 months (01/01/2019-31/03/2020). All live births at ≥34 weeks of gestation were included. Infants were managed using SCO and decisions were compared with those retrospectively projected by the NSC. The proportion of infants recommended for antibiotics or laboratory testing was compared in both strategies. McNemar's non-parametric test was used to assess significant differences in matched proportions.

RESULTS

Among the 3,445 neonates (late-preterm, n = 178; full-term, n = 3,267) 262 (7.6%) presented with symptoms of suspected EOS. There were no cases of culture-proven EOS. Only 1.9% of the neonates were treated with antibiotics (median antibiotic treatment, 2 days) and 4.0% were evaluated. According to NSC, antibiotics would have been administered in 5.4% of infants (absolute difference between SCO and NSC, 3.51%; 95% CI, 3.14-3.71%; p <0.0001) and 5.6% of infants would have undergone "rule out sepsis" (absolute difference between SCO and NSC, 1.63%, 95% CI 1.10-2.05; p <0.0001).

CONCLUSION

SCO minimizes laboratory testing and unnecessary antibiotics in infants at risk of EOS or with mild non-progressive symptoms, without the risk of a worse neonatal outcome. The NSC recommends almost three times more antibiotics than the SCO without improving neonatal outcomes.

Neonatal early-onset sepsis calculator safety in an Australian tertiary perinatal centre

AIM

To determine if any cases of culture-positive neonatal early-onset sepsis (EOS) would be missed using the neonatal EOS calculator, when compared with current guidelines and practices.

METHODS

Retrospective audit of all neonates born at ≥35 weeks and admitted to Royal Brisbane and Women's Hospital with EOS from January 2014 to December 2020. A missed case was defined as antibiotic therapy not being recommended within 24 h of birth. Management recommendations according to the neonatal EOS calculator were compared with current guidelines and current practices.

RESULTS

There were significantly more missed cases using the neonatal EOS calculator compared to the current guideline and current management groups. Using the neonatal EOS calculator, 11 neonates (35%, 95% confidence interval 19.2-54.6%) would not have received antibiotics by 24 h of age. In comparison, only one neonate (3%, 95% confidence interval 0.1-16.7%) would not have received antibiotics by 24 h of age using the current guidelines. In terms of the current practice in the cohort of patients, two neonates (6%) did not receive antibiotics by 24 h of age.

CONCLUSIONS

The significantly higher rate of missed cases using the neonatal EOS calculator compared with current guidelines and practice supports the concerns many neonatologists have regarding safety of the neonatal EOS calculator.

Centers for disease control and prevention guidelines identified more neonates at risk of early-onset sepsis than the Kaiser-Permanente calculator

AIM

Our aim was to retrospectively compare how many cases of early-onset sepsis (EOS) would have been predicted by the the Kaiser-Permanente (KP) calculator and the United States Centers for Disease Control and Prevention (CDC) guidelines.

METHODS

This observational retrospective cohort study comprised 50 newborn infants with documented EOS who were born at the Kaplan Medical Centre, Israel, between 2001 and 2018. We retrospectively evaluated whether the KP calculator and the CDC recommendations would have recommended antibiotic treatment if they had been implemented within four hours of birth.

RESULTS

EOS was diagnosed in 50 of the 109 877 infants born from 34 weeks of gestation. By four hours of birth, 18 were symptomatic, five had an equivocal clinical status, and 27 were asymptomatic. The KP calculator would have recommended antibiotic treatment for 19 (38%) neonates: 18 who were symptomatic and one who was initially asymptomatic. The CDC guidelines would have recommended antibiotic treatment for 27 (54%) nenonates: those 19 plus all 5 with equivocal status and other 3 who were asymptomatic.

CONCLUSION

Using the CDC guidelines would have identified more equivocal and asymptomatic EOS cases within four hours of birth than the KP calculator. Enhanced observation is recommended when using the KP calculator.

Potential benefit from the implementation of the Kaiser Permanente neonatal early-onset sepsis calculator on clinical management of neonates with presumed sepsis

To assess the potential benefit from the implementation of the Kaiser Permanente early-onset sepsis calculator (EOS-C), in terms of antibiotic use and requested laboratory tests, in a network of neonatal intensive care units (NICUs) in Greece, and to determine the incidence of early-onset sepsis (EOS) in Greek NICUs, a prospective surveillance study was conducted in 7 NICUs between April 2018 and June 2019. Data were collected for all newborns ≥ 34 weeks' gestation receiving empiric antibiotic therapy within the first 3 days of life. The number of live births and positive blood or cerebrospinal fluid cultures within the first 3 days of life were used for calculation of EOS incidence. Evaluation of possible impact of implementing the calculator was done by comparing the clinicians' recorded management to the calculator's suggested course of action. The unit-specific incidence of culture-proven EOS ranged between 0 and 2.99/1000 live births. The weighted incidence rate for all 7 units was 1.8/1000 live births. Management of EOS guided by the calculator could lead to a reduction of empiric antibiotic initiation up to 100% for the group of "well-appearing" neonates and 86% for "equivocal," lowering exposure to antibiotics by 4.2 and 3.8 days per neonate, respectively. Laboratory tests for blood cultures drawn could be reduced by up to 100% and 68%, respectively. Sensitivity of the EOS-C in identifying neonates with positive blood cultures was high.Conclusion: Management strategies based on the Kaiser Permanente neonatal sepsis calculator may significantly reduce antibiotic exposure, invasive diagnostic procedures, and hospitalizations in late preterm and term neonates. What is Known: • Neonates are frequently exposed to antibiotics for presumed EOS. • The Kaiser Permanente sepsis calculator can reduce antibiotic exposure in neonates.. What is New: • EOS calculator can be an effective antibiotic stewardship tool in a high prescribing country and can reduce invasive diagnostic procedures and mother-baby separation. • Incidence of EOS in Greece is higher compared to other European countries.

Development and validation of a sepsis diagnostic scoring model for neonates with suspected sepsis

BACKGROUND

We aimed to develop and validate a diagnostic model for sepsis among neonates evaluated for suspected sepsis, by incorporating thromboelastometry parameters, maternal/neonatal risk factors, clinical signs/symptoms and laboratory results.

METHODS

This retrospective cohort study included 291 neonates with presumed sepsis, hospitalized in a NICU, from 07/2014 to 07/2021. Laboratory tests were obtained on disease onset and prior to initiating antibiotic therapy. Τhromboelastometry extrinsically activated (EXTEM) assay was performed simultaneously and Tοllner and nSOFA scores were calculated. Sepsis diagnosis was the outcome variable. A 10-fold cross-validation least absolute shrinkage and selection operator logit regression procedure was applied to derive the final multivariable score. Clinical utility was evaluated by decision curve analysis.

RESULTS

Gestational age, CRP, considerable skin discoloration, liver enlargement, neutrophil left shift, and EXTEM A10, were identified as the strongest predictors and included in the Neonatal Sepsis Diagnostic (NeoSeD) model. NeoSeD score demonstrated excellent discrimination capacity for sepsis and septic shock with an AUC: 0.918 (95% CI, 0.884-0.952) and 0.974 (95% CI, 0.958-0.989) respectively, which was significantly higher compared to Töllner and nSOFA scores.

CONCLUSIONS

The NeoSeD score is simple, accurate, practical, and may contribute to a timely diagnosis of sepsis in neonates with suspected sepsis. External validation in multinational cohorts is necessary before clinical application.

Impact of early-onset sepsis guidelines on breastfeeding

OBJECTIVE

To evaluate the impact of changes to neonatal early-onset sepsis (EOS) guidelines on in-hospital breastfeeding.

STUDY DESIGN

Asymptomatic neonates admitted to the Neonatal Intensive Care Unit (NICU) for sepsis evaluations over a 2-year period were identified. A retrospective chart review was conducted as part of a larger quality initiative on antibiotic stewardship.

RESULT

In Epoch 1, Epoch 2, and Epoch 3, there were 268 babies, 138 babies and 138 babies admitted to the NICU based on sepsis protocol, respectively. When comparing Epoch 1 to Epoch 3, there was a 14% increase in total breast milk consumption rates (p < 0.0001) and a 15% increase in exclusive breastfeeding at discharge (p < 0.002).

CONCLUSION

By implementing new EOS protocols, we have decreased NICU length of stay. We suggest that the decrease in mother-infant separation time leads to an improvement in breastfeeding.

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.

Is peripartum maternal fever alone a reliable predictor of neonatal sepsis? A single-centre, retrospective cohort study

AIM

To determine the incidence rate of early-onset neonatal sepsis (EONS) among term neonates (gestation greater than 37 weeks) admitted to the neonatal intensive care unit for suspected sepsis and the association of EONS with maternal fever (temperature greater than 38°C).

METHODS

A single-centre retrospective cohort study of all term neonates (gestation >37 weeks) admitted to and treated in the neonatal unit at the Townsville University Hospital between March 2015 and March 2020. Neonatal sepsis was confirmed with positive neonatal blood culture. Data on neonatal birth/stay and maternal pregnancy were collected from the electronic medical records and neonatal database.

RESULTS

Data from 737 neonates who were admitted for treatment of EONS were analysed. Sixty % (426) reported maternal intrapartum fever, with 1.1% (5) of neonates developing blood culture-proven sepsis. Forty % did not report intrapartum fever (311), with 3% (9) of neonates developing sepsis. As such, the sensitivity and specificity of maternal fever are 1.14% and 97%, respectively. The positive predictive value was 35.7%, and the negative predictive value was 40.1%. Fourteen neonates developed EONS, and all of them were symptomatic. Seventy-eight % (334/426) of the women in the febrile group received epidural analgesia compared to 5% (16/311) in the afebrile group. Of the 95 neonates born to women with chorioamnionitis, one (1.0%) of the neonates born to women with chorioamnionitis developed sepsis.

CONCLUSIONS

Intrapartum maternal fever is an unreliable predictor for EONS and leads to unnecessary antibiotic treatment. Symptoms in the neonate are a more reliable indicator of an ill neonate with blood culture-proven sepsis.

Variations in Antibiotic Use and Sepsis Management in Neonatal Intensive Care Units: A European Survey

Management of neonatal sepsis and the use of antimicrobials have an important impact on morbidity and mortality. However, there is no recent background on which antibiotic regimens are used in different European neonatal intensive care units (NICUs). Our study aimed to describe the use of antibiotics and other aspects of early- and late-onset sepsis (EOS and LOS, respectively) management by European NICUs. We conducted an online survey among NICUs throughout Europe to collect information about antibiotic stewardship, antibiotic regimens, and general aspects of managing neonatal infections. NICUs from up to 38 European countries responded, with 271 valid responses. Most units had written clinical guidelines for EOS (92.2%) and LOS (81.1%) management. For EOS, ampicillin, penicillin, gentamicin, and amikacin were the most commonly used antibiotics. Analysis of the combinations of EOS regimens showed that the most frequently used was ampicillin plus gentamicin (54.6%). For LOS, the most frequently used antibiotics were vancomycin (52.4%), gentamicin (33.9%), cefotaxime (28%), and meropenem (15.5%). Other aspects of the general management of sepsis have also been analyzed. The management of neonatal sepsis in European NICUs is diverse. There was high self-reported adherence to the local clinical guidelines. There was homogeneity in the combination of antibiotics in EOS but less in LOS.

Application of Kaiser Sepsis Calculator in culture-positive infants with early onset sepsis

BACKGROUND

Kaiser Sepsis Calculator (KSC) reduces antibiotic use, testing and intravenous infiltrates but there are concerns about the missed early onset sepsis (EOS) cases. We sought to apply the KSC score for culture-positive infants retrospectively in infants born in the last 10 years in our hospital.

METHODS

In a retrospective cohort study, the comparison groups were divided into Group A (no antibiotics recommended by KSC) and Group B (antibiotics recommended).

RESULTS

Overall, 17/24 (71%) infants would have been started on antibiotics per KSC but 7/24 (29%) would not. The initial EOS risk was not significantly different between the groups (Group A vs. Group B: 0.44 vs. 0.76, P = 0.41), but the final risk score was (0.33 vs. 9.41, P < 0.001). In Group A (no antibiotics), 3/7 infants became symptomatic between 9 and 42 hours.

CONCLUSION

There may be a potential delay in starting antibiotics in infants that are asymptomatic at birth while using KSC.

Brief comments on three existing approaches for managing neonates at risk of early-onset sepsis

BACKGROUND

Growing concerns regarding the adverse effects of antibiotics during the first days of life and the marked reduction in the incidence of early-onset sepsis (EOS) are changing the clinical practice for managing neonates at risk of EOS. Strategies avoiding unnecessary antibiotics while promoting mother-infant bonding and breastfeeding deserve to be considered.

MAIN BODY

We compare strategies for managing newborns at risk of EOS recommended by the American Academy of Pediatrics, which are among the most followed recommendations worldwide. Currently three different approaches are suggested in asymptomatic full-term or late preterm neonates: i) the conventional management, based on standard perinatal risk factors for EOS alone, ii) the neonatal sepsis calculator, a multivariate risk assessment based on individualized, quantitative risk estimates (relying on maternal risk factors for EOS) combined with physical examination findings at birth and in the following hours and iii) an approach entirely based on newborn clinical condition (serial clinical observation) during the first 48 h of life. We discuss advantages and limitations of these approaches, by analyzing studies supporting each strategy. Approximately 40% of infants who develop EOS cannot be identified on the basis of maternal RFs or laboratory tests, therefore close monitoring of the asymptomatic but at-risk infant remains crucial. A key question is to know what proportion of babies with mild, unspecific symptoms at birth can be managed safely without giving antibiotics.

CONCLUSIONS

Both neonatal sepsis calculator and serial clinical observation may miss cases of EOS, and clinical vigilance for all neonates is essential There is a need to assess which symptoms at birth are more predictive of EOS, and therefore require immediate interventions, or symptoms that can be carefully reevaluated without necessarily treat immediately the neonate with antibiotics. Studies comparing strategies for managing neonates are recommended.

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.

Vignettes Identify Variation in Antibiotic Use for Suspected Early Onset Sepsis

BACKGROUND AND OBJECTIVES

There is widespread unwarranted antibiotic use and large individual provider variation in antibiotic use in NICUs. Vignette-based research methodology offers a unique method of studying variation in individual provider decisions. The objective with this study was to use a vignette-based survey to identify specific areas of provider antibiotic use variation in newborns being evaluated for early onset sepsis.

METHODS

This study was undertaken as part of a statewide multicenter neonatal antibiotic stewardship quality improvement project led by a perinatal quality improvement collaborative. A web-based vignette survey was administered to identify variation in decisions to start and discontinue antibiotics in cases of early onset sepsis.

RESULTS

The largest variation was noted in 3 of the 6 vignette cases. These cases highlighted variation in (1) decisions to start antibiotics in a case describing a well-appearing newborn with risk factors and an elevated C-reactive protein, (2) decisions to start antibiotics in the case of a newborn with risk factors plus mild respiratory signs at birth, and (3) decisions to stop antibiotics in the case of the newborn with a history of sepsis risk factors and mild clinical respiratory signs that resolved after 72 hours.

CONCLUSIONS

Clinical vignette assessment identified specific areas of variation in individual provider antibiotic use decisions in cases of suspected early onset sepsis. Vignettes are a valuable method of describing individual provider variation and highlighting antibiotic stewardship improvement opportunities in NICUs.

Identifying neonatal early-onset sepsis test and treatment decision thresholds

OBJECTIVE

To derive testing and treatment thresholds for early-onset neonatal sepsis and compare them to thresholds used in the Kaiser-Permanente (KP) Sepsis Calculator.

METHODS

Using surveys distributed in the United States, Brazil and Italy, decision thresholds were derived via self-identified thresholds selected from structured lists (Method 1), and based on clinical vignette responses for testing and treatment with or without inclusion of associated relative risk (Methods 2 and 3).

RESULTS

Using Method 1, both testing and treatment thresholds were higher than the KP calculator thresholds. Test thresholds were lower (Method 2) or equivalent (Method 3) to KP using clinical vignettes. No vignette reached the 50% cutoff necessary to define a treatment threshold.

CONCLUSION

The test threshold used by the KP calculator is the same as the threshold chosen by clinicians given a vignette and risk estimate. The KP treatment threshold is lower than that derived using all 3 methods.

Antimicrobial Use in US Hospitals: Comparison of Results From Emerging Infections Program Prevalence Surveys, 2015 and 2011

BACKGROUND

In the 2011 US hospital prevalence survey of healthcare-associated infections and antimicrobial use 50% of patients received antimicrobial medications on the survey date or day before. More hospitals have since established antimicrobial stewardship programs. We repeated the survey in 2015 to determine antimicrobial use prevalence and describe changes since 2011.

METHODS

The Centers for Disease Control and Prevention's Emerging Infections Program sites in 10 states each recruited ≤25 general and women's and children's hospitals. Hospitals selected a survey date from May-September 2015. Medical records for a random patient sample on the survey date were reviewed to collect data on antimicrobial medications administered on the survey date or day before. Percentages of patients on antimicrobial medications were compared; multivariable log-binomial regression modeling was used to evaluate factors associated with antimicrobial use.

RESULTS

Of 12 299 patients in 199 hospitals, 6084 (49.5%; 95% CI, 48.6-50.4%) received antimicrobials. Among 148 hospitals in both surveys, overall antimicrobial use prevalence was similar in 2011 and 2015, although the percentage of neonatal critical care patients on antimicrobials was lower in 2015 (22.8% vs 32.0% [2011]; P = .006). Fluoroquinolone use was lower in 2015 (10.1% of patients vs 11.9% [2011]; P < .001). Third- or fourth-generation cephalosporin use was higher (12.2% vs 10.7% [2011]; P = .002), as was carbapenem use (3.7% vs 2.7% [2011]; P < .001).

CONCLUSIONS

Overall hospital antimicrobial use prevalence was not different in 2011 and 2015; however, differences observed in selected patient or antimicrobial groups may provide evidence of stewardship impact.

Infants exposed to antibiotics after birth have altered recognition memory responses at one month of age

BACKGROUND

Neonatal exposure to antibiotics, in the absence of infection, results in abnormal learning and memory in animals and is linked to changes in gut microbes. The relevance of early-life antibiotic exposure to brain function in humans is not known.

METHODS

Recognition memory was assessed at 1 month of age in 15 term-born infants exposed to antibiotics (with negative cultures) and 57 unexposed infants using event-related potentials (ERPs). Linear regression analysis, adjusting for covariates, was employed to compare groups with respect to ERP features representing early stimulus processing (P2 amplitude) and discrimination between mother and stranger voices.

RESULTS

Infants exposed to antibiotics exhibited smaller P2 amplitudes for both voice conditions (p = 0.001), with greatest reductions observed for mother's voice in frontal and central scalp regions (p < 0.04). Infants exposed to antibiotics showed larger P2 amplitudes to stranger's as compared to mother's voice, a reversal of the typical response exhibited by unexposed infants. Abnormal ERP responses did not consistently correlate with increased inflammatory cytokines within the antibiotic-exposed group.

CONCLUSIONS

Otherwise healthy infants exposed to antibiotics soon after birth demonstrated altered auditory processing and recognition memory responses, supporting the possibility of a microbiota-gut-brain axis in humans during early life.

IMPACT

Infants exposed to antibiotics after birth demonstrate altered auditory processing and recognition memory responses at 1 month of age. Preclinical models support a role for gut microbiomes in modulating brain function and behavior, particularly in developing brains. This study is one of the first to explore the relevance of these findings for human infants. The findings of this study have implications for the management and follow-up of at-risk infants with exposure to gut-microbiome disrupting factors and lay foundation for future studies to further characterize the short- and long-term effects of gut microbiome perturbation on brain development.

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.

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.

Stratified Management for Bacterial Infections in Late Preterm and Term Neonates: Current Strategies and Future Opportunities Toward Precision Medicine

Bacterial infections remain a major cause of morbidity and mortality in the neonatal period. Therefore, many neonates, including late preterm and term neonates, are exposed to antibiotics in the first weeks of life. Data on the importance of inter-individual differences and disease signatures are accumulating. Differences that may potentially influence treatment requirement and success rate. However, currently, many neonates are treated following a "one size fits all" approach, based on general protocols and standard antibiotic treatment regimens. Precision medicine has emerged in the last years and is perceived as a new, holistic, way of stratifying patients based on large-scale data including patient characteristics and disease specific features. Specific to sepsis, differences in disease susceptibility, disease severity, immune response and pharmacokinetics and -dynamics can be used for the development of treatment algorithms helping clinicians decide when and how to treat a specific patient or a specific subpopulation. In this review, we highlight the current and future developments that could allow transition to a more precise manner of antibiotic treatment in late preterm and term neonates, and propose a research agenda toward precision medicine for neonatal bacterial infections.

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.

Risk-based maternal group B Streptococcus screening strategy is compatible with the implementation of neonatal early-onset sepsis calculator

BACKGROUND

The early-onset sepsis (EOS) calculator was developed and validated in a setting with routine-based group B Streptococcus (GBS) screening.

PURPOSE

The study aimed to evaluate the extent of influence exerted by risk-based GBS screening on management recommendations by the EOS calculator.

METHODS

All newborns with a gestational age greater than 35 weeks were screened for EOS risk factors in a Dutch regional teaching hospital using a risk-based GBS screening strategy. We calculated the EOS risk at birth and stratified the infants into the following 3 risk levels with corresponding management recommendations: low, <0.65; intermediate, 0.65-1.54; and high, >1.54 per 1000 live newborns. Thereafter, we recalculated the EOS risk and recommendation for the newborn infants without available maternal GBS screening results at birth.

RESULTS

In one year, 1,877 eligible births occurred; of them, 206 infants were included. Maternal GBS status was available for 28 of 206 infants (14%) at birth, while a definitive GBS status was later available for 162 of 206 infants (79%). Median EOS risk was slightly lower after definitive GBS status was determined (0.41 vs. 0.46 per 1,000 live births, P=0.004). In 199 of 206 newborn infants (97%), the EOS calculator recommendation remained unchanged after the GBS results unavailable at birth were updated to definitive GBS status. Use of GBS status at birth versus definitive GBS status did not result in the withholding of antibiotic treatment of the newborn infants included in this study.

CONCLUSION

Risk-based GBS screening is compatible with EOS calculator recommendations. Larger studies are needed to develop the best strategy for combining GBS screening and EOS calculator recommendations.

Clinical prediction models to diagnose neonatal sepsis: a scoping review protocol

INTRODUCTION

Neonatal sepsis is responsible for significant morbidity and mortality worldwide. Diagnosis is often difficult due to non-specific clinical features and the unavailability of laboratory tests in many low-income and middle-income countries (LMICs). Clinical prediction models have the potential to improve diagnostic accuracy and rationalise antibiotic usage in neonatal units, which may result in reduced antimicrobial resistance and improved neonatal outcomes. In this paper, we outline our scoping review protocol to map the literature concerning clinical prediction models to diagnose neonatal sepsis. We aim to provide an overview of existing models and evidence underlying their use and compare prediction models between high-income countries and LMICs.

METHODS AND ANALYSIS

The protocol was developed with reference to recommendations by the Joanna Briggs Institute. Searches will include six electronic databases (Ovid MEDLINE, Ovid Embase, Scopus, Web of Science, Global Index Medicus and the Cochrane Library) supplemented by hand searching of reference lists and citation analysis on included studies. No time period restrictions will be applied but only studies published in English or Spanish will be included. Screening and data extraction will be performed independently by two reviewers, with a third reviewer used to resolve conflicts. The results will be reported by narrative synthesis in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines.

ETHICS AND DISSEMINATION

The nature of the scoping review methodology means that this study does not require ethical approval. Results will be disseminated through peer-reviewed publications and conference presentations, as well as through engagement with peers and relevant stakeholders.

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.

Suspected Neonatal Sepsis: Tenth Clinical Consensus of the Ibero-American Society of Neonatology (SIBEN)

Suspected neonatal sepsis is one of the most common diagnoses made in newborns (NBs), but very few NBs actually have sepsis. There is no international consensus to clearly define suspected neonatal sepsis, but each time that this suspected diagnosis is assumed, blood samples are taken, venous accesses are used to administer antibiotics, and the mother-child pair is separated, with prolonged hospital stays. X-rays, urine samples, and a lumbar puncture are sometimes taken. This is of concern, as generally <10% and no more than 25%-30% of the NBs in whom sepsis is suspected have proven neonatal sepsis. It seems easy to start antibiotics with suspicion of sepsis, but stopping them is difficult, although there is little or no support to maintain them. Unfortunately, the abuse of antibiotics in inpatient and outpatient NBs is foolish. Its negative impact on neonatal health and the economy is a public health problem of epidemiological and even epidemic proportions. This manuscript is a shortened version of the 10^th Clinical Consensus of the Ibero-American Society of Neonatology (SIBEN) on suspected neonatal sepsis at the end of 2018, updated with publications from its completion to February 2020. This manuscript describes useful strategies for everyday neonatal practice when neonatal sepsis is suspected, along with important aspects about the indisputable value of clinical evaluation of the NB and about obtaining and interpreting blood cultures, urine cultures, and other cultures. Likewise, the low value of laboratory tests in suspected neonatal sepsis is demonstrated with evidence and clinical recommendations are made on the appropriate use of antibiotics.

Evaluation of compliance with the 2017 Canadian Paediatric Society Position Statement for the management of newborns at risk for early-onset sepsis: A retrospective cohort study

Introduction

Due to the nonspecific clinical presentation, clinicians often empirically treat newborns at risk of early-onset sepsis (EOS). Recently, the Canadian Paediatric Society (CPS) published updated recommendations that promote a more judicious approach to EOS management.

Objective

To examine the compliance with the CPS statement at a tertiary perinatal site and characterize the types of deviations.

Methods

A retrospective chart review was conducted for all term and late pre-term newborns at risk for sepsis, between January 1 and June 30, 2018. The prevalence of newborns with EOS risk factors was measured during the first month. Management strategies for eligible newborns during the 6-month period were compared to the CPS recommendations to establish the rate of noncompliance. The type of noncompliance, readmission rate, and rate of culture-positive EOS were examined.

Results

In the first month, 29% (66 of 228) of newborns had EOS risk factors. Among the 100 newborns born in the 6-month period for whom the CPS recommendations apply, 47 (47%) received noncompliant management. Of those, 51% (N=24) had inappropriately initiated investigations, 17% (N=8) had inappropriate antibiotics, and 32% (N=15) had both. The rate of readmission for a septic workup was 1.6% (N= 2). None had culture-positive sepsis while admitted.

Conclusion

A large proportion of term and late preterm newborns (29%) had EOS risk factors, but none had culture-confirmed EOS. The rate of noncompliance with the CPS recommendations was high (47%), mainly due to overzealous management. Future initiatives should aim at increasing compliance, particularly in newborns at lower EOS risk.

Sensitivity of the Kaiser Permanente early-onset sepsis calculator: A systematic review and meta-analysis

BACKGROUND

Determining which babies should receive antibiotics for potential early onset sepsis (EOS) is challenging. We performed a meta-analysis quantifying how many EOS cases might be 'missed' using the Kaiser Permanente electronic calculator, compared with National Institute for Health and Care Excellence (NICE) guidelines.

METHODS

A systematic literature search was carried out for studies citing the article in which the calculator was publicised. Studies were eligible if they presented data evaluating the calculator, either by retrospective case review or prospective cohort study. The primary outcome measure was numbers of culture positive EOS cases where the calculator did not recommend empirical antibiotics, but NICE guidelines would have. Data were pooled using a random effect meta-analysis. A subgroup analysis was performed using data from studies of babies exposed to chorioamnionitis.

FINDINGS

Eleven studies were included. There were a total of 75 EOS cases across the studies and a minimum of 14 (best case scenario), and a maximum of 22 (worst case scenario) cases where use of the calculator would have resulted in delayed or missed treatment, compared to if NICE guidelines had been followed. The probability of missed/delayed treatment for an EOS case were best case 0.19 [95% confidence intervals 0.11 - 0.29], worst case 0.31 [95% CI 0.17 - 0.49]. The probability of missing cases was significantly more in babies exposed to chorioamnionitis.

INTERPRETATION

A large proportion of EOS cases were 'missed' by the calculator. Further evaluation of the calculator is recommended before it is introduced into UK clinical practice.

FUNDING

None.

Neonatal Sepsis Diagnosis Decision-Making Based on Artificial Neural Networks

Neonatal sepsis remains difficult to diagnose due to its non-specific signs and symptoms. Traditional scoring systems help to discriminate between septic or not patients, but they do not consider every single patient particularity. Thus, the purpose of this study was to develop an early- and late-onset neonatal sepsis diagnosis model, based on clinical maternal and neonatal data from electronic records, at the time of clinical suspicion. A predictive model was obtained by training and validating an artificial Neural Networks (ANN) algorithm with a balanced dataset consisting of preterm and term non-septic or septic neonates (early- and late-onset), with negative and positive culture results, respectively, using 25 maternal and neonatal features. The outcome of the model was sepsis or not. The performance measures of the model, evaluated with an independent dataset, outperformed physician's diagnosis using the same features based on traditional scoring systems, with a 93.3% sensitivity, an 80.0% specificity, a 94.4% AUROC, and a regression coefficient of 0.974 between actual and simulated results. The model also performed well-relative to the state-of-the-art methods using similar maternal/neonatal variables. The top 10 factors estimating sepsis were maternal age, cervicovaginitis and neonatal: fever, apneas, platelet counts, gender, bradypnea, band cells, catheter use, and birth weight.

Association of Use of the Neonatal Early-Onset Sepsis Calculator With Reduction in Antibiotic Therapy and Safety: A Systematic Review and Meta-analysis

IMPORTANCE

The neonatal early-onset sepsis (EOS) calculator is a clinical risk stratification tool increasingly used to guide the use of empirical antibiotics for newborns. Evidence on the effectiveness and safety of the EOS calculator is essential to inform clinicians considering implementation.

OBJECTIVE

To assess the association between management of neonatal EOS guided by the neonatal EOS calculator (compared with conventional management strategies) and reduction in antibiotic therapy for newborns.

DATA SOURCES

Electronic searches in MEDLINE, Embase, Web of Science, and Google Scholar were conducted from 2011 (introduction of the EOS calculator model) through January 31, 2019.

STUDY SELECTION

All studies with original data that compared management guided by the EOS calculator with conventional management strategies for allocating antibiotic therapy to newborns suspected to have EOS were included.

DATA EXTRACTION AND SYNTHESIS

Following PRISMA-P guidelines, relevant data were extracted from full-text articles and supplements. CHARMS (Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies) and GRADE (Grades of Recommendation, Assessment, Development and Evaluation) tools were used to assess the risk of bias and quality of evidence. Meta-analysis using a random-effects model was conducted for studies with separate cohorts for EOS calculator and conventional management strategies.

MAIN OUTCOMES AND MEASURES

The difference in percentage of newborns treated with empirical antibiotics for suspected or proven EOS between management guided by the EOS calculator and conventional management strategies. Safety-related outcomes involved missed cases of EOS, readmissions, treatment delay, morbidity, and mortality.

RESULTS

Thirteen relevant studies analyzing a total of 175 752 newborns were included. All studies found a substantially lower relative risk (range, 3%-60%) for empirical antibiotic therapy, favoring the EOS calculator. Meta-analysis revealed a relative risk of antibiotic use of 56% (95% CI, 53%-59%) in before-after studies including newborns regardless of exposure to chorioamnionitis. Evidence on safety was limited, but proportions of missed cases of EOS were comparable between management guided by the EOS calculator (5 of 18 [28%]) and conventional management strategies (8 of 28 [29%]) (pooled odds ratio, 0.96; 95% CI, 0.26-3.52; P = .95).

CONCLUSIONS AND RELEVANCE

Use of the neonatal EOS calculator is associated with a substantial reduction in the use of empirical antibiotics for suspected EOS. Available evidence regarding safety of the use of the EOS calculator is limited, but shows no indication of inferiority compared with conventional management strategies.

Sepsis calculator for neonatal early onset sepsis - a systematic review and meta-analysis

BACKGROUND

Over investigation and overuse of empirical antibiotics is a concern in management of neonatal early onset sepsis (EOS) using the Centers for Disease Control and Prevention guidelines. "Sepsis calculator" is a risk-based prediction model for managing neonates at risk of EOS.

OBJECTIVE

To compare outcomes of neonatal EOS using of sepsis calculator versus conventional approach.

METHODS

A systematic review of randomized controlled trials (RCT) and non-RCTs reporting on outcomes after implementation of sepsis calculator for EOS for neonates >34-week gestation was conducted using the Cochrane methodology. Databases PubMed, CINAHL, Embase, Cochrane Central library and Google Scholar were searched in May 2019. Primary outcomes were antibiotics usage and laboratory tests for managing EOS. Secondary outcomes included hospital admissions and readmissions, blood culture positive EOS and mortality. The level of evidence (LOE) was summarized using the GRADE guidelines.

RESULTS

A total of 387 articles were retrieved after initial search. Six high quality non-RCTs fulfilled inclusion criteria. Meta-analysis (random effects model) showed that implementation of sepsis calculator was associated with reduced antibiotic usage [N = 172,385; OR = 0.22 (0.14-0.36); p < .00001; heterogeneity (I²) = 97%, Number needed to treat (NNT): 22], laboratory tests [N = 168,432; OR = 0.14 (0.08-0.27); p < .00001; I² = 99%, NNT = 8], and admissions to neonatal unit [N = 16,628; OR = 0.24 (0.11-0.51); p = .0002; I² = 98%, NNT = 7]; LOE: moderate. There was no difference in mortality, culture positive EOS, and readmissions.

CONCLUSION

Moderate quality evidence indicates that the implementation of a sepsis calculator was associated with reduced usage of antibiotics, laboratory tests and admission to neonatal unit with no increase in mortality and readmissions.

Managing Infants Exposed to Maternal Chorioamnionitis by the Use of Early-Onset Sepsis Calculator

Objective. To reduce neonatal intensive care unit admission rate (NAR) and antibiotic utilization rate (AUR) in ≥36 weeks gestational age infants exposed to maternal chorioamnionitis (MC) through the application of early-onset sepsis calculator (EOSCAL). Study Design. This is a single-center cohort study. All infants born ≥36 weeks gestational age and exposed to MC were compared for NAR, AUR, and laboratory evaluation rate (LER) 2 years after and 1 year before the implementation of EOSCAL. Results. There is a significant decrease in NAR (P < .001), AUR (P < .04), and LER for blood culture, complete blood count, and C-reactive protein (P < .001) after implementation of EOSCAL. If infants received antibiotics, it was for significantly less number of doses (P < .01). There was no increase in the readmission rate. Conclusion. Use of EOSCAL significantly decreases the rate of NAR, AUR, and LER in infants exposed to MC, without affecting readmission rates and late antibiotic use.