Systematic Review of the Effectiveness of the Neonatal Early-Onset Sepsis Calculator

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..

Investigating the Association between Serum and Hematological Biomarkers and Neonatal Sepsis in Newborns with Premature Rupture of Membranes: A Retrospective Study

(1) Background: Neonatal early-onset sepsis (EOS) is associated with important mortality and morbidity. The aims of this study were to evaluate the association between serum and hematological biomarkers with early onset neonatal sepsis in a cohort of patients with prolonged rupture of membranes (PROM) and to calculate their diagnostic accuracy. (2) Methods: A retrospective cohort study was conducted on 1355 newborns with PROM admitted between January 2017 and March 2020, who were divided into two groups: group A, with PROM ≥ 18 h, and group B, with ROM < 18 h. Both groups were further split into subgroups: proven sepsis, presumed sepsis, and no sepsis. Descriptive statistics, analysis of variance (ANOVA) and a Random Effects Generalized Least Squares (GLS) regression were used to evaluate the data. (3) Results: The statistically significant predictors of neonatal sepsis were the high white blood cell count from the first (p = 0.005) and third day (p = 0.028), and high C-reactive protein (CRP) values from the first day (p = 0.004). Procalcitonin (area under the curve-AUC = 0.78) and CRP (AUC = 0.76) measured on the first day had the best predictive performance for early-onset neonatal sepsis. (4) Conclusions: Our results outline the feasibility of using procalcitonin and CRP measured on the first day taken individually in order to increase the detection rate of early-onset neonatal sepsis, in the absence of positive blood culture.

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.

Kaiser Permanente early-onset sepsis calculator as a safe tool for reducing antibiotic use among chorioamnionitis-exposed term neonates: Qatar experience

Being an important cause of early-onset neonatal sepsis, clinical chorioamnionitis in the mother results in frequent laboratory workup and antibiotic use for the neonate. Neonatal intensive care units (NICUs) in Qatar follow the categorical approach recommended by the Centers for Disease Control and Prevention, USA, and all chorioamnionitis-exposed neonates receive antibiotics.Our project aimed to reduce antibiotic use among chorioamnionitis-exposed, asymptomatic term babies by adopting the early-onset sepsis calculator (EOSCAL). Reduction of blood culture and NICU stay duration were added as secondary objectives later.The Institute of Healthcare Improvement Model of Improvement was used. Antibiotic use rate was the primary outcome measure. Blood culture rate and early transfer to the postnatal ward were added after 1 year. The process measures included the EOSCAL use rate and calculation error rate. The rate of positive culture among untreated babies within the first week was taken as a balancing measure. Monthly data were collected from February 2020 and entered as run charts. Calculation errors were dealt by multiple PDSAs. Additional outcome measures were added in January 2021. Data collection and monitoring continued till December 2022.Among 3837 inborn NICU admissions, 464 (12 %) were chorioamnionitis-exposed babies. Of them, 341 (74%) cases were eligible for inclusion. Among eligible cases, 270 (79%) did not receive antibiotics. Blood culture could be avoided among 106 (97% of low-risk babies) and NICU stay was reduced among 45 (92% of eligible low-risk babies). None of the untreated babies developed sepsis during the first week.Implementation of this project effectively and safely reduced the antibiotic use and blood culture rate among term, well-appearing babies exposed to chorioamnionitis. The project resulted in enhanced patient safety, experience and flow and reduced cost. It is recommendable to other NICU settings in Qatar.

Evaluation of antimicrobial consumption in the neonatal population undergoing to stewardship programs: A systematic review Antimicrobial consumption in neonatal population

BACKGROUND

The indiscriminate antimicrobials use in neonatal sepsis treatment contributes to abusive consumption and optimize prescription programs are encouraged as way to reduce the inappropriate use. Thus, the objective was to evaluate the impact of intervention programs for adequate antimicrobial use (Antimicrobial Stewardship Programs - ASP) in consumption measurements of such drugs in neonatology.

METHODS

The search for articles was performed in electronic databases and manual search for citations in publications initially identified. Electronic databases searched were BVS, Cochrane Library, Embase, MEDLINE/PubMed, SciELO, Scopus and Web of Science. There was no date or period limit for including of articles. The PICO question was defined as populations of neonates admitted to neonatal intensive care units (NICU) (P) undergoing an intervention program to optimize antimicrobial therapy (I) in relation to neonates not exposed to the program (C) and the outcome obtained in antimicrobials consumption (O).

RESULTS

The initial search in databases resulted in 1223 articles. Articles were screened and sixteen original studies related to subject were selected, which conducted a quantitative approach to antimicrobials consumption for population of interest. Most articles used days of therapy (DOT) as the main measure of antimicrobial consumption and have had a high-quality rating by Newcastle Ottawa scale (NOS). All studies were carried out in local hospitals at a single-centre and most ones in high-income countries.

CONCLUSION

Of all studies resulting from search, few evaluated antimicrobial consumption in Neonatology. New studies are needed, and DOT proved to be the most adequate metric to measure consumption.

Predictive Scores for Late-Onset Neonatal Sepsis as an Early Diagnostic and Antimicrobial Stewardship Tool: What Have We Done So Far?

Background: Late-onset neonatal sepsis (LOS) represents a significant cause of morbidity and mortality worldwide, and early diagnosis remains a challenge. Various ‘sepsis scores’ have been developed to improve early identification. The aim of the current review is to summarize the current knowledge on the utility of predictive scores in LOS as a tool for early sepsis recognition, as well as an antimicrobial stewardship tool. Methods: The following research question was developed: Can we diagnose LOS with accuracy in neonates using a predictive score? A systematic search was performed in the PubMed database from 1982 (first predictive score published) to December 2021. Results: Some (1352) articles were identified—out of which, 16 were included in the review. Eight were original scores, five were validations of already existing scores and two were mixed. Predictive models were developed by combining a variety of clinical, laboratory and other variables. The majority were found to assist in early diagnosis, but almost all had a limited diagnostic accuracy. Conclusions: There is an increasing need worldwide for a simple and accurate score to promptly predict LOS. Combinations of the selected parameters may be helpful, but until now, a single score has not been proven to be comprehensive.

Risk Perception and Decision Making about Early-Onset Sepsis among Neonatologists: A National Survey

OBJECTIVE

Many newborns are investigated and empirically treated for suspected early-onset sepsis (EOS). This study aimed to describe neonatologists' self-identified risk thresholds for investigating and treating EOS and assess the consistency of these thresholds with clinical decisions.

STUDY DESIGN

Voluntary online survey, available in two randomized versions, sent to neonatologists from 20 centers of the Brazilian Network on Neonatal Research. The surveys included questions about thresholds for investigating and treating EOS and presented four clinical scenarios with varying calculated risks. In survey version A, only the scenarios were presented, and participants were asked if they would order a blood test or start antibiotics. Survey version B presented the same scenarios and the risk of sepsis. Clinical decisions were compared between survey versions using chi-square tests and agreement between thresholds and clinical decisions were investigated using Kappa coefficients.

RESULTS

In total, 293 surveys were completed (145 survey version A and 148 survey version B). The median risk thresholds for blood test and antibiotic treatment were 1:100 and 1:25, respectively. In the high-risk scenario, there was no difference in the proportion choosing antibiotic therapy between the groups. In the moderate-risk scenarios, both tests and antibiotics were chosen more frequently when the calculated risks were included (survey version B). In the low-risk scenario, there was no difference between survey versions. There was poor agreement between the self-described thresholds and clinical decisions.

CONCLUSION

Neonatologists overestimate the risk of EOS and underestimate their risk thresholds. Knowledge of calculated risk may increase laboratory investigation and antibiotic use in infants at moderate risk for EOS.

KEY POINTS

· Neonatologists overestimate the risk of EOS.. · There is wide variation in diagnostic/treatment thresholds for EOS.. · Clinical decision on EOS is not consistent with risk thresholds.. · Knowledge of risk may increase investigation and treatment of EOS..

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.

[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.

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.