A Quantitative, Risk-Based Approach to the Management of Neonatal Early-Onset Sepsis

Use of the "Sepsis Risk Calculator" in Belgian Newborns: A Retrospective Cohort Study

BACKGROUND

Prevention of early-onset neonatal sepsis (EONS) is a frequent reason why many newborns receive unnecessary antibiotics. The Sepsis Risk Calculator (SRC) was developed by the Kaiser Permanente Institute as a multivariate risk assessment of EONS, aiming to reduce laboratory testing and empiric neonatal antibiotic therapy. Our objective was to assess the potential of the SRC in reducing antibiotic use in our setting.

METHODS

Late preterm and term newborns who received antibiotics from 2019 to 2020 in a tertiary Belgian hospital were included. Newborn-specific data were collected and entered into the online SRC, retrospectively calculating a sepsis risk score and providing recommendations for antibiotic administration. False-positive indications for treatment by the SRC were estimated based on previously published data. Antibiotic therapy rates according to the SRC recommendations were compared to the actual rate of antibiotic therapy.

RESULTS

Of 5891 births, 414 newborns received antibiotics and were eligible for this study, representing a rate of 7.6% of newborns receiving antibiotics following our current guidelines. The SRC would have recommended antibiotic administration for 2.7%, reducing antibiotic therapy by 64.5%. Of 5 possible cases of EONS, 3 would have received antibiotics in the first 24 hours according to the SRC.

CONCLUSIONS

In this Belgian cohort, use of the SRC has the potential to significantly decrease by 64.5% the newborns that receive antibiotics. This reduction would primarily concern asymptomatic newborns. If use of the SRC was to be implemented in Belgian maternities, strict clinical surveillance practices should be ensured.

Antibiotic use in infants at risk of early-onset sepsis: results from a unicentric retrospective cohort study

BACKGROUND

Antibiotic use for early-onset sepsis represents a high percentage of antibiotic consumption in the neonatal setting. Measures to assess infants at risk of early-onset sepsis are needed to optimize antibiotic use. Our primary objective was to assess the impact of a departmental guideline on antibiotic use among term infants with suspected EOS not confirmed, in our neonatal unit.

METHODS

Retrospective cohort study, to compare antibiotic use in term infants during a baseline period of January to December 2018, and a postintervention period from October 2019, to September 2020, respectively. The primary outcome was antibiotic use measured by days of therapy, the antibiotic spectrum index, the antibiotic use rate, and the length of therapy.

RESULTS

We included 71 infants in the baseline period and 66 infants in the postintervention period. Compared to those in the baseline period, there was a significant reduction in overall antibiotic measures in the postintervention period, (P < 0.001). The total days of therapy/1000 patient-days decreased from 63/1000 patient-days during the baseline period to 25.8/1000 patient-days in the postintervention period, representing a relative reduction of 59%. The antibiotic use rate decreased by more than half of the infants, from 3.2% during the baseline period to 1.3% in the postintervention period.

CONCLUSIONS

The use of a departmental guideline to assess infants at risk of early-onset sepsis based on their clinical condition and prompt discontinuation of antibiotics, is a simple and low-cost measure that contributed to an important decrease in antibiotic use.

Group B Streptococcus Brain Abscess in a Neonate with Bilateral Otorrhea

Introduction  Group B streptococcus (GBS) is the leading cause of bacterial sepsis and meningitis in neonates worldwide, but brain abscess secondary to GBS is extremely rare. While temporal brain abscesses have been described as a sequelae of otogenic infections in children and adults, such a presentation has not been described in neonates. Case Description  An 8-day-old female infant presented with a fever and irritability along with bilateral purulent otorrhea. Maternal GBS screening was negative, but the delivery was complicated by chorioamnionitis. Workup revealed neutrophilic pleocytosis in the cerebrospinal fluid and culture of the ear drainage was positive for GBS. Magnetic resonance imaging showed a circular lesion with rim enhancement within the left temporal lobe concerning for an abscess. The infant was treated with 14 days of intravenous vancomycin, cefepime, and metronidazole followed by 10 weeks of intravenous ampicillin. The hospital course was complicated by seizures and obstructive hydrocephalus requiring multiple neurosurgical interventions. Conclusion  Brain abscess can occur as a sequela of GBS meningitis in neonates, but they are rare. Otogenic infections require prompt evaluation and treatment as they can progress to serious central nervous infections in neonates.

Reducing intravenous antibiotics in neonates born ≥35 weeks' gestation: A quality improvement study

AIM

To assess the impact of the Early Onset Sepsis (EOS) calculator, implemented as a quality improvement study, to reduce the rate of unnecessary antibiotics in neonates born ≥35 weeks' gestation.

METHODS

An audit of routinely collected hospital data from January 2008 to March 2014 (retrospective) and from January 2018 to September 2019 (prospective) determined baseline incidence of EOS intravenous antibiotic use in neonates born ≥35 weeks' gestation in a tertiary level perinatal centre. Plan-do-study-act (PDSA) cycles were applied to implement the EOS calculator. Statistical process control methodology and time series analysis assessments were used to assess the potential impact of the PDSA cycles on the rate of intravenous antibiotics, blood culture collection, EOS, length of stay and health care costs (not adjusted for potential confounders).

RESULTS

In the study population, from January 2008 to March 2014, the baseline incidence of intravenous antibiotic use was 10.49% (2970/28290), whilst only 0.067% (19/28290) neonates had culture proven EOS. From January 2018 to October 2019, prior to implementation of the EOS calculator, 13.3% (1119/8411) neonates were treated with intravenous antibiotic and the use decreased to 8.3% (61/734) post-implementation. The rate of blood culture collection decreased from 14.4% (1211/8411) to 11.9% (87/734). There were no cases of missed EOS. Length of stay decreased from 2.68 to 2.39 days, with an estimated cost saving of $366 per patient per admission.

CONCLUSION

Implementing the EOS calculator in a tertiary hospital setting reduced invasive investigations for EOS and intravenous antibiotic use among neonates ≥35 weeks' gestation. This can result in reduced length of neonatal hospital stays, and associated health care cost savings and may reduce separation of mother and baby.

Development of risk prediction nomogram for neonatal sepsis in Group B Streptococcus-colonized mothers: a retrospective study

Neonatal clinical sepsis is recognized as a significant health problem, This study sought to identify a predictive model of risk factors for clinical neonatal sepsis. A retrospective study was conducted from 1 October 2018 to 31 March 2023 in a large tertiary hospital in China. Neonates were divided into patients and controls based on the occurrence of neonatal sepsis. A multivariable model was used to determine risk factors and construct models.The utilization and assessment of model presentation were conducted using Norman charts and web calculators, with a focus on model differentiation, calibration, and clinical applicability (DCA). Furthermore, the hospital's data from 1 April 2023 to 1 January 2024 was utilized for internal validation. In the modelling dataset, a total of 339 pairs of mothers and their newborns were included in the study and divided into two groups: patients (n = 84, 24.78%) and controls (n = 255, 75.22%). Logistic regression analysis was performed to examine the relationship between various factors and outcome. The results showed that maternal age < 26 years (odds ratio [OR] = 2.16, 95% confidence interval [CI] 1.06-4.42, p = 0.034), maternal gestational diabetes (OR = 2.17, 95% CI 1.11-4.27, p = 0.024), forceps assisted delivery (OR = 3.76, 95% CI 1.72-5.21, p = 0.032), umbilical cord winding (OR = 1.75, 95% CI 1.32-2.67, p = 0.041) and male neonatal sex (OR = 1.59, 95% CI 1.00-2.62, p = 0.050) were identified as independent factors influencing the outcome of neonatal clinical sepsis. A main effects model was developed incorporating these five significant factors, resulting in an area under the curve (AUC) value of 0.713 (95% CI 0.635-0.773) for predicting the occurrence of neonatal clinical sepsis. In the internal validation cohort, the AUC value of the model was 0.711, with a 95% CI of 0.592-0.808. A main effects model incorporating the five significant factors was constructed to help healthcare professionals make informed decisions and improve clinical outcomes.

Antibiotic Use in Late Preterm and Full-Term Newborns

Importance

Antibiotic treatment saves lives in newborns with early-onset sepsis (EOS), but unwarranted antibiotic use is associated with resistant bacteria and adverse outcomes later in life. Surveillance is needed to optimize treatment strategies.

Objective

To describe antibiotic use in association with the incidence and mortality from EOS among late-preterm and full-term newborns.

Design, Setting, and Participants

The Sweden Neonatal Antibiotic Use study was a nationwide observational study that included all late-preterm and full-term neonates born from January 1, 2012, to December 31, 2020, in neonatal units of all levels. All hospital live births from 34 weeks' gestation during the study period were included in the study. Data were collected from the Swedish Neonatal Quality Register and the Swedish Medical Birth Register. Data were analyzed from August 2022 to May 2023.

Exposure

Admission for neonatal intensive care during the first week of life.

Main Outcomes and Measures

The main outcomes were the usage of intravenous antibiotics during the first week of life, the duration of antibiotic therapy, the rate of culture-proven EOS, and mortality associated with EOS.

Results

A total of 1 025 515 newborns were included in the study; 19 286 neonates (1.88%; 7686 girls [39.9%]; median [IQR] gestational age, 40 [38-41] weeks; median [IQR] birth weight, 3610 [3140-4030] g) received antibiotics during the first week of life, of whom 647 (3.4%) had EOS. The median (IQR) duration of antibiotic treatment in newborns without EOS was 5 (3-7) days, and there were 113 antibiotic-days per 1000 live births. During the study period there was no significant change in the exposure to neonatal antibiotics or antibiotic-days per 1000 live births. The incidence of EOS was 0.63 per 1000 live births, with a significant decrease from 0.74 in 2012 to 0.34 in 2020. Mortality associated with EOS was 1.39% (9 of 647 newborns) and did not change significantly over time. For each newborn with EOS, antibiotic treatment was initiated in 29 newborns and 173 antibiotic-days were dispensed.

Conclusions and Relevance

This large nationwide study found that a relatively low exposure to antibiotics is not associated with an increased risk of EOS or associated mortality. Still, future efforts to reduce unwarranted neonatal antibiotic use are needed.

Correlation between intrapartum CTG findings and interleukin-6 levels in the umbilical cord arterial blood: A prospective cohort study

OBJECTIVE

to investigate the correlation between the intrapartum CardioTocoGraphic (CTG) findings "suggestive of fetal inflammation" ("SOFI") and the interleukin (IL)-6 level in the umbilical arterial blood.

STUDY DESIGN

prospective cohort study conducted at a tertiary maternity unit and including 447 neonates born at term.

METHODS

IL-6 levels were systematically measured at birth from a sample of blood taken from the umbilical artery. The intrapartum CTG traces were retrospectively reviewed by two experts who were blinded to the postnatal umbilical arterial IL-6 values as well as to the neonatal outcomes. The CTG traces were classified into "suggestive of fetal inflammation (SOFI)" and "no evidence of fetal inflammation (NEFI) according to the principles of physiologic interpretation the CTG traces. The CTG was classified as "SOFI" if there was a persistent fetal heart rate (FHR) increase > 10 % compared with the observed baseline FHR observed at the admission or at the onset of labor without any preceding repetitive decelerations. The occurrence of Composite Adverse Outcome (CAO) was defined as Neonatal Intensive Care Unit (NICU) or Special Care Baby Unit (SCBU) admission due to one or more of the following: metabolic acidaemia, Apgar score at 5 min ≤ 7, need of neonatal resuscitation, respiratory distress, tachypnoea/polypnea, jaundice requiring phototherapy, hypotension, body temperature instability, poor perinatal adaptation, suspected or confirmed early neonatal sepsis.

MAIN OUTCOME MEASURES

To compare the umbilical IL-6 values between the cases with intrapartum CTG traces classified as "SOFI" and those classified as "NEFI"; to assess the correlation of umbilical IL-6 values with the neonatal outcome.

RESULTS

43 (9.6 %) CTG traces were categorized as "SOFI"; IL-6 levels were significantly higher in this group compared with the "NEFI" group (82.0[43.4-325.0] pg/ml vs. 14.5[6.8-32.6] pg/mL; p <.001). The mean FHR baseline assessed 1 h before delivery and the total labor length showed an independent and direct association with the IL-6 levels in the umbilical arterial blood (p <.001 and p = 0.005, respectively). CAO occurred in 33(7.4 %) cases; IL-6 yielded a good prediction of the occurrence of the CAO with an AUC of 0.72 (95 % CI 0.61-0.81).

CONCLUSION

Intrapartum CTG findings classified as "SOFI" are associated with higher levels of IL-6 in the umbilical arterial blood.

Pulmonary Hypertension in Developmental Lung Diseases

Diverse genetic developmental lung diseases can present in the neonatal period with hypoxemic respiratory failure, often associated with with pulmonary hypertension. Intractable hypoxemia and lack of sustained response to medical management should increase the suspicion of a developmental lung disorder. Genetic diagnosis and lung biopsy are helpful in establishing the diagnosis. Early diagnosis can result in optimizing management and redirecting care if needed. This article reviews normal lung development, various developmental lung disorders that can result from genetic abnormalities at each stage of lung development, their clinical presentation, management, prognosis, and differential diagnoses.

Application of Advanced Molecular Methods to Study Early-Onset Neonatal Sepsis

Early-onset sepsis (EOS) is a global health issue, considered one of the primary causes of neonatal mortality. Diagnosis of EOS is challenging because its clinical signs are nonspecific, and blood culture, which is the current gold-standard diagnostic tool, has low sensitivity. Commonly used biomarkers for sepsis diagnosis, including C-reactive protein, procalcitonin, and interleukin-6, lack specificity for infection. Due to the disadvantages of blood culture and other common biomarkers, ongoing efforts are directed towards identifying innovative molecular approaches to diagnose neonates at risk of sepsis. This review aims to gather knowledge and recent research on these emerging molecular methods. PCR-based techniques and unrestricted techniques based on 16S rRNA sequencing and 16S-23S rRNA gene interspace region sequencing offer several advantages. Despite their potential, these approaches are not able to replace blood cultures due to several limitations; however, they may prove valuable as complementary tests in neonatal sepsis diagnosis. Several microRNAs have been evaluated and have been proposed as diagnostic biomarkers in EOS. T2 magnetic resonance and bioinformatic analysis have proposed potential biomarkers of neonatal sepsis, though further studies are essential to validate these findings.

A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities

Bronchopulmonary dysplasia (BPD) is a complex, multifactorial lung disease affecting preterm neonates that can result in long-term pulmonary and non-pulmonary complications. Current therapies mainly focus on symptom management after the development of BPD, indicating a need for innovative approaches to predict and identify neonates who would benefit most from targeted or earlier interventions. Clinical informatics, a subfield of biomedical informatics, is transforming healthcare by integrating computational methods with patient data to improve patient outcomes. The application of clinical informatics to develop and enhance clinical therapies for BPD presents opportunities by leveraging electronic health record data, applying machine learning algorithms, and implementing clinical decision support systems. This review highlights the current barriers and the future potential of clinical informatics in identifying clinically relevant BPD phenotypes and developing clinical decision support tools to improve the management of extremely preterm neonates developing or with established BPD. However, the full potential of clinical informatics in advancing our understanding of BPD with the goal of improving patient outcomes cannot be achieved unless we address current challenges such as data collection, storage, privacy, and inherent data bias.

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.

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

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

Highlights

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

Ampicillin Pharmacokinetics in Peripartum and Laboring Women

OBJECTIVE

 Ampicillin is used for multiple peripartum indications including prevention of neonatal group B streptococcus (GBS) and treatment of chorioamnionitis. Despite its widespread use in obstetrics, existing pharmacokinetic data for ampicillin do not address contemporary indications or dosing paradigms for this population. We sought to characterize the pharmacokinetic profile of ampicillin administered to laboring women.

STUDY DESIGN

 Using whole blood dried blood spot sampling technique, maternal blood samples were collected at specified times from 31 women receiving intravenous (IV) ampicillin for peripartum indications. Women received either a 2-g loading dose with 1-g administered every 4 hours (GBS) or 2-g every 6 hours (chorioamnionitis). Pharmacokinetics were analyzed via a population approach with nonlinear mixed-effect modeling.

RESULTS

 The data were best described by a two-compartment model with first-order elimination, with the following whole blood parameters: central volume of distribution (V1), 75.2 L (95% confidence interval [CI]: 56.3-93.6); clearance (CL), 82.4 L/h (95% CI: 59.7-95.7); intercompartmental clearance (Q), 20.9 L/h (95% CI: 16.2-38.2); and peripheral volume of distribution (V2), 61.1 L (95% CI: 26.1-310.5). Interpatient variation in CL and V1 was large (42.0 and 56.7%, respectively). Simulations of standard dosing strategies demonstrated over 98% of women are predicted to achieve an estimated free plasma concentration above mean inhibitory concentration (MIC) of 0.5 μg/mL for more than 50% of the dosing interval.

CONCLUSION

 Although large variation in the pharmacokinetics of ampicillin in pregnant women exists, as predicted by our model, current standard dosing strategies achieve adequate exposure for GBS in nearly all patients.

KEY POINTS

· IV ampicillin is widely used in obstetrics.. · Pharmacokinetic studies are lacking.. · Ampicillin pharmacokinetics were established.. · Ampicillin clearance and volume of distribution are high.. · Current ampicillin dosing strategies are sufficient..

Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities

Artificial intelligence (AI) offers tremendous potential to transform neonatology through improved diagnostics, personalized treatments, and earlier prevention of complications. However, there are many challenges to address before AI is ready for clinical practice. This review defines key AI concepts and discusses ethical considerations and implicit biases associated with AI. Next we will review literature examples of AI already being explored in neonatology research and we will suggest future potentials for AI work. Examples discussed in this article include predicting outcomes such as sepsis, optimizing oxygen therapy, and image analysis to detect brain injury and retinopathy of prematurity. Realizing AI's potential necessitates collaboration between diverse stakeholders across the entire process of incorporating AI tools in the NICU to address testability, usability, bias, and transparency. With multi-center and multi-disciplinary collaboration, AI holds tremendous potential to transform the future of neonatology.

Molecular detection of bacteria, placental inflammation, and neonatal sepsis risk

OBJECTIVE

To identify bacteria in umbilical cord tissue and investigate the association with placental inflammation and neonatal sepsis risk score.

STUDY DESIGN

Retrospective cohort study from 2017-2019. RNA was extracted from umbilical cord tissue and NanoString nCounter used to identify seven bacteria genera. Sepsis risk score was calculated using the Kaiser sepsis calculator. Placental histopathology was abstracted from medical records.

RESULTS

Detection of bacterial RNA in the umbilical cord (n = 96/287) was associated with high-stage maternal and fetal acute placental inflammation (maternal 35.4% vs 22.5%, p = 0.03 and fetal 34.4% vs 19.4%, p < 0.01) and maternal vascular malperfusion (36.5% vs 23.0%, p = 0.02). Detection of Ureaplasma spp. was also associated with increased sepsis risk score (1.5/1000 [0.6, 8.6] vs 0.9/1000 [0.2, 2.9], p = 0.04).

CONCLUSION

Umbilical cord bacterial pathogens are linked to fetal and maternal placental inflammation and maternal vascular malperfusion during gestation and associated with increased sepsis risk score in the neonate.

Neonatal early-onset sepsis calculator: Impact on antibiotic use in a level II neonatal unit in Western Australia

BACKGROUND

Overuse of empirical intravenous antibiotics in neonates in high-income countries (HICs) is well documented. The Kaiser Permanente neonatal early-onset sepsis (EOS) calculator is an evidence-based sepsis risk assessment tool that has demonstrated potential to reduce antibiotic usage in this population. The incidence of early-onset sepsis in most HICs is 0.4-0.8 per 1000 live births. The objective was to evaluate the calculator's impact on antibiotic rates and length of stay in a regional level II Special Care Nursery.

METHODS

A single-centre retrospective cohort study compared antibiotic administration rates in the first 72 h in neonates ≥35 weeks gestation born during two 6-month periods in 2019 (pre-EOS calculator) and 2021 (post-EOS calculator). Electronic and paper case records were accessed to capture data. Continuous data were summarised using mean and standard deviation, and categorical data were summarized using frequency distributions. There were 951 (2019) and 1129 (2021) infants born during the study periods.

RESULTS

Following implementation of the calculator, antibiotic exposure decreased from 13.7% to 4.7% of all neonates without reported negative outcomes. Mean length of stay for neonates born across the two periods decreased from 2.38 to 2.13 days. Indications for antibiotic use shifted more towards clinical condition and away from obstetric risk factors. There were no culture-proven cases of sepsis or readmissions with EOS in either period.

CONCLUSION

Implementation of the EOS calculator significantly reduced exposure to antibiotics, without adverse outcomes.

Heart rate and oxygen saturation patterns in very low birth weight infants with early onset sepsis and histologic chorioamnionitis

BACKGROUND

Chorioamnionitis and early onset sepsis (EOS) in very low birth weight (VLBW,< 1500 g) infants may cause a systemic inflammatory response reflected in patterns of heart rate (HR) and oxygenation measured by pulse oximetry (SpO2). Identification of these patterns might inform decisions about duration of antibiotic therapy after birth.

OBJECTIVE

Compare early HR and SpO2 patterns in VLBW infants with or without early onset sepsis (EOS) or histologic chorioamnionitis (HC).

STUDY DESIGN

Retrospective study of placental pathology and HR and SpO2 in the first 72 h from birth in relation to EOS status for inborn VLBW NICU patients 2012-2019.

RESULT

Among 362 VLBW infants with HR and SpO2 data available, clinical, or culture-positive EOS occurred in 91/362 (25%) and HC in 81/355 (22%). In univariate analysis, EOS was associated with higher mean HR, lower mean SpO2, and less negative skewness of HR in the first 3 days after birth. HC was associated with higher standard deviation and skewness of HR but no difference in SpO2. In multivariable modeling, significant risk factors for EOS were mean HR, gestational age, HC, mean SpO2, and skewness of SpO2.

CONCLUSION

HR and SpO2 patterns differ shortly after birth in VLBW infants exposed to HC or with EOS, likely reflecting a systemic inflammatory response.

Improved efficiency in the management of newborns with infectious risk factors by the sepsis risk calculator and clinical observation

OBJECTIVE

To evaluate the efficiency of the sepsis risk calculator and the serial clinical observation in the management of late preterm and term newborns with infectious risk factors.

METHOD

Single-center, observational, two-phase cohort study comparing the rates of neonates born ≥35 weeks' gestation, ≥2000 g birthweight, and without major congenital anomalies, who were screened and/or received antibiotics for early-onset neonatal sepsis risk at our center during two periods, before (January/2018-June/2019) and after (July/2019-December/2020) the implementation of the sepsis risk calculator.

RESULTS

A total of 1796 (Period 1) and 1867 (Period 2) patients with infectious risk factors were included. During the second period, tests to rule out sepsis were reduced by 34.0 % (RR, 95 %CI): 0.66 (0.61, 0.71), blood cultures by 13.1 %: 0.87 (0.77, 0.98), hospital admissions by 13.5 %: 0.86 (0.76, 0.98) and antibiotic administration by 45.9 %: 0.54 (0.47, 0.63). Three cases of early-onset neonatal sepsis occurred in the first period and two in the second. Clinical serial evaluation would have detected all true cases.

CONCLUSIONS

The implementation of a sepsis risk calculator in the management of newborns ≥35 weeks GA, ≥2000 g birthweight, without major congenital anomalies, with infectious risk factors is safe and adequate to reduce laboratory tests, blood cultures, hospital admissions, and antibiotics administration. Serial clinical observation, in addition, could be instrumental to achieve or even improve this goal.

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

OBJECTIVE

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

STUDY DESIGN

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

RESULTS

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

CONCLUSION

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

Early initiation of antibiotic therapy and short-term outcomes in preterm infants: a single-centre retrospective cohort analysis

BACKGROUND

Sepsis is one of the most important complications in preterm infants. For this reason, many such infants receive antibiotics during their hospital stay. However, early antibiotic therapy has also been associated with adverse outcome. It is yet largely unclear if the time of onset of antibiotic therapy influences the outcome. We here investigated whether the timing of initiation of antibiotic therapy plays a role in the association between antibiotic exposure and short-term outcome.

METHODS

Retrospective analysis of data from 1762 very low birthweight infants born in a German neonatal intensive care unit (NICU) between January 2004 and December 2021.

RESULTS

Antibiotics were administered to 1214 of the 1762 (68.9%) infants. In 973 (55.2%) of the 1762 of infants, antibiotic therapy was initiated within the first two postnatal days. Only 548 (31.1%) infants did not have any antibiotic prescription during their stay in the NICU. Antibiotic exposure at every timepoint was associated with an increased risk of all short-term outcomes analysed in univariable analyses. In multivariable analyses, initiation of antibiotic therapy within the first two postnatal days and initiation between postnatal days 3 and 6 was independently associated with an increased risk of developing bronchopulmonary dysplasia (BPD) (OR 3.1 and 2.8), while later initiation of antibiotic therapy was not.

CONCLUSION

Very early initiation of antibiotic therapy was associated with an increased risk of BPD. Due to the study design, no conclusions on causality can be drawn. If confirmed, our data suggest that an improved identification of infants at low risk of early-onset sepsis is needed to reduce antibiotic exposure.

Comparison of proposed National Institute of Child Health and Human Development panel recommendations with newborn sepsis risk calculator in term neonates exposed to maternal chorioamnionitis

BACKGROUND

Maternal chorioamnionitis (MC) is one of the major risk factors for early-onset neonatal sepsis. Kaiser sepsis risk calculator (SRC) is a validated risk assessment tool for such newborns. The National Institute of Child Health and Human Development (NICHD) workshop on MC has proposed a risk assessment algorithm. The objective of the study was to compare the reduction in antibiotic use in newborns treated with SRC and NICHD algorithm and determine the antibiotic use correlation between them.

METHODOLOGY

A retrospective chart review was performed on newborns born at ≥ 37 weeks to mothers with MC during the years 2018-2020. The same cohort of newborns was evaluated using SRC and NICHD algorithm to determine whether treatment with antibiotics could have been avoided in some patients. The data were analyzed using a t-test, Chi-square test, and ANOVA.

RESULTS

During the study period, 101 newborns were born to mothers with chorioamnionitis and received antibiotics. When the newborns were assessed using the SRC, only 16/101 (15.84%) would have received treatment. When NICHD algorithm was applied to the same cohort 71/101 (70.30%) newborns would have received treatment. The two approaches agreed in their assessment for treatment or observation only in 44/101 (43.56%) of the cases. The NICHD treatment group had a higher incidence of chorioamnionitis as seen in placental pathology (94.37% vs. 75.00% for Kaiser, p-0.015). The SRC treatment group however had newborns with significantly lower Apgar score at 1 min (8.21 vs 6.63, p-0.006) and 5-minute (8.69 vs 8.00, p-0.019) and had significantly higher supplemental oxygen requirements at admission (62.50% vs. 21.13%, p < 0.001).

CONCLUSION

Both SRC and NICHD algorithms expose fewer newborns to antibiotics; however, they differ in the number of newborns that would require antibiotics. Ventilation assistance and lower Apgar scores were associated with higher probability of antibiotic administration.

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.

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.

Meeting report: Towards better risk stratification, prevention and therapy of invasive GBS disease, ESPID research meeting May 2022

The European Society of Pediatric Infectious Diseases (ESPID) hosted the third Group B Streptococcus (GBS) Research Session in Athens on 11th May 2022, providing researchers and clinicians from around the world an opportunity to share and discuss recent advances in GBS pathophysiology, molecular and genetic epidemiology and how these new insights can help in improving prevention and control of early- and late-onset GBS disease. The meeting provided a state-of-the-art overview of the existing GBS prevention strategies and their limitations, and an opportunity to share the latest research findings. The first presentation provided an overview of current GBS prevention and treatment strategies. In the second presentation, the genomic and antimicrobial resistance profiles of invasive and colonizing GBS strains were presented. The third presentation explained the association of intrapartum antibiotic prophylaxis (IAP) with the development of late-onset disease (LOD) and the interplay of host innate immunity and GBS. The fourth presentation evaluated the role of genomics in understanding horizontal GBS transmission. The fifth presentation focused on the zoonotic links for certain GBS lineages and the last presentation described the protective role of breastmilk. Talks were followed with interactive discussions and concluded with recommendations on what is needed to further GBS clinical research; these included: (i) the development of better risk stratification methods by combining GBS virulence factors, serological biomarkers and clinical risk factors; (ii) further studies on the interplay of perinatal antimicrobials, disturbances in the development of host immunity and late-onset GBS disease; (iii) routine submission of GBS isolates to reference laboratories to help in detecting potential clusters by using genomic sequencing; (iv) collaboration in animal and human GBS studies to detect and prevent the emergence of new pathogenic sequence types; and (v) harnessing the plethora of immune factors in the breastmilk to develop adjunct therapies.

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.

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

OBJECTIVE

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

STUDY DESIGN

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

RESULTS

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

CONCLUSION

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

KEY POINTS

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

Association of delivery risk phenotype with early-onset sepsis in preterm infants

OBJECTIVE

To determine delivery risk phenotype-specific incidence of early-onset sepsis (EOS) among preterm infants.

STUDY DESIGN

Retrospective cohort study of infants born <35 weeks' gestation at four perinatal centers during 2017-2021. Infants were classified into one of six delivery risk phenotypes incorporating delivery mode, presence of labor, and duration of rupture of membranes (ROM). The primary outcome was EOS incidence within the overall cohort and each risk phenotype.

RESULTS

Among 2937 preterm infants, 21 had EOS (0.7%, or 7.1 cases/1000 preterm infants). The majority of EOS cases (13/21, 62%) occurred in the setting of prolonged ROM ≥ 18 h, with a phenotype incidence of 23.8 cases/1000 preterm infants. There were no EOS cases among infants born by cesarean section without ROM (with or without labor), nor via cesarean section with ROM < 18 h without labor.

CONCLUSION

Delivery risk phenotyping may inform EOS risk stratification in preterm infants.

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

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

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

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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.

Incidence of Neonatal Hypothermia in the Newborn Nursery and Associated Factors

Importance

Thermoregulation is a key component of well-newborn care. There is limited epidemiologic data on hypothermia in late preterm and term infants admitted to the nursery. Expanding on these data is essential for advancing evidence-based care in a population that represents more than 3.5 million births per year in the US.

Objective

To examine the incidence and factors associated with hypothermia in otherwise healthy infants admitted to the newborn nursery following delivery.

Design, Setting, and Participants

A retrospective cohort study using electronic health record data from May 1, 2015, to August 31, 2021, was conducted at a newborn nursery at a university-affiliated children's hospital. Participants included 23 549 infants admitted to the newborn nursery, from which 321 060 axillary and rectal temperature values were analyzed.

Exposures

Infant and maternal clinical and demographic factors.

Main Outcomes and Measures

Neonatal hypothermia was defined according to the World Health Organization threshold of temperature less than 36.5 °C. Hypothermia was further classified by severity (mild: single episode, temperature 36.0-36.4 °C; moderate/severe: persistent or recurrent hypothermia and/or temperature <36.0 °C) and timing (early: all hypothermic episodes occurred within the first 24 hours after birth; late: any episode extended beyond the first 24 hours).

Results

Of 23 549 included infants (male, 12 220 [51.9%]), 5.6% were late preterm (35-36 weeks' gestation) and 4.3% were low birth weight (≤2500 g). The incidence of mild hypothermia was 17.1% and the incidence of moderate/severe hypothermia was 4.6%. Late hypothermia occurred in 1.8% of infants. Lower birth weight and gestational age and Black and Asian maternal race and ethnicity had the highest adjusted odds across all classifications of hypothermia. The adjusted odds ratios of moderate/severe hypothermia were 5.97 (95% CI 4.45-8.00) in infants with a birth weight less than or equal to 2500 vs 3001 to 3500 g, 3.17 (95% CI 2.24-4.49) in 35 week' vs 39 weeks' gestation, and 2.65 (95% CI 1.78-3.96) in infants born to Black mothers and 1.94 (95% CI 1.61-2.34) in infants born to Asian mothers vs non-Hispanic White mothers.

Conclusions and Relevance

In this cohort study of infants in the inpatient nursery, hypothermia was common, and the incidence varied by hypothermia definition applied. Infants of lower gestational age and birth weight and those born to Black and Asian mothers carried the highest odds of hypothermia. These findings suggest that identifying biological, structural, and social determinants of hypothermia is essential for advancing evidence-based equitable thermoregulatory care.

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

OBJECTIVE

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

DESIGN AND SETTING

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

PARTICIPANTS

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

OUTCOME MEASURES

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

RESULTS

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

CONCLUSION

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

Using Quality Improvement to Improve Value and Reduce Waste

Value is defined as health outcomes achieved per dollar spent. Addressing value in quality improvement (QI) efforts can help optimize patient outcomes while reducing unnecessary spending. In this article, we discuss how QI focused on reducing morbidities frequently reduces costs, and how proper cost accounting can help demonstrate improvements in value. We provide examples of high-yield opportunities for value improvement in neonatology and review the literature associated with these topics. Opportunities include reducing neonatal intensive care admissions for low-acuity infants, sepsis evaluations in low-risk infants, unnecessary total parental nutrition use, and utilization of laboratory and imaging.

Predicting the likelihood of lower respiratory tract Ureaplasma infection in preterms

OBJECTIVE

To develop predictive models of Ureaplasma spp lower airway tract infection in preterm infants.

METHODS

A dataset was assembled from five cohorts of infants born <33 weeks gestational age (GA) enrolled over 17 years (1999-2016) with culture and/or PCR-confirmed tracheal aspirate Ureaplasma status in the first week of life (n=415). Seventeen demographic, obstetric and neonatal factors were analysed including admission white blood cell (WBC) counts. Best subset regression was used to develop three risk scores for lower airway Ureaplasma infection: (1) including admission laboratory values, (2) excluding admission laboratory values and (3) using only data known prenatally.

RESULTS

GA and rupture of membranes >72 hours were significant predictors in all 3 models. When all variables including admission laboratory values were included in the regression, WBC count was also predictive in the resulting model. When laboratory values were excluded, delivery route was found to be an additional predictive factor. The area under the curve for the receiver operating characteristic indicated high predictive ability of each model to identify infants with lower airway Ureaplasma infection (range 0.73-0.77).

CONCLUSION

We developed predictive models based on clinical and limited laboratory information available in the perinatal period that can distinguish between low risk (<10%) and high risk (>40%) of lower airway Ureaplasma infection. These may be useful in the design of phase III trials of therapeutic interventions to prevent Ureaplasma-mediated lung disease in preterm infants and in clinical management of at-risk infants.

Group B Streptococcus and the risk of perinatal morbidity and mortality following term labor

Streptococcus agalactiae (group B Streptococcus) colonizes the genital tract of approximately 20% of pregnant women. In the absence of intervention, approximately 1% of infants born to colonized mothers exhibit a clinical infection. This has led to implementation of screening and intervention in the form of intrapartum antibiotic prophylaxis in many countries, including the United States. However, screening has not been introduced in a substantial minority of other countries because of the absence of supportive level 1 evidence, the very large number needed to treat to prevent 1 case, and concerns about antimicrobial resistance. Optimal screening would involve rapid turnaround (to facilitate intrapartum testing) and report antibiotic sensitivity, but no such method exists. There is significant scope for a personalized medicine approach, targeting intrapartum antibiotic prophylaxis to cases at greatest risk, but the pathogen and host factors determining the risk of invasive disease are incompletely understood. Epidemiologic data have indicated the potential of prelabor invasion of the uterus by group B Streptococcus, and metagenomic analysis revealed the presence of group B Streptococcus in the placenta in approximately 5% of pregnant women at term before onset of labor and membrane rupture. However, the determinants and consequences of prelabor invasion of the uterus by group B Streptococcus remain to be established. The vast majority (98%) of invasive neonatal disease is caused by 6 serotypes, and hexavalent vaccines against these serotypes have completed phase 2 trials. However, an obstacle to phase 3 studies is conducting an adequately powered trial to demonstrate clinical effectiveness given that early-onset disease affects approximately 1 in 1000 births in the absence of vaccination.

The impact of the early onset neonatal sepsis calculator on antibiotic initiation: a single center study in Israel

To evaluate the effect of implementation of the Kaiser Permanente (KP) early onset sepsis (EOS) calculator in infants born at 34 week's gestation or more on antibiotic utilization and length of hospitalization. A single center, retrospective cohort study included all neonates born in Soroka Medical Center at 34 weeks gestation or more between January 1^st, 2015, and January 1^st, 2019, with a predefined maternal risk factor for EOS. Two cohorts of neonates were compared during two time periods, before and after the implementation of the KP calculator. Multivariable logistic and linear regressions were performed to assess the effect of the KP calculator on antibiotic treatment and length of hospitalization. Also, an interrupted time series (ITS) analysis was used to assess the time trends of the two periods. The study included 3858 neonates in the pre-implementation period and 3081 neonates in the post-implementation cohort. The use of the calculator resulted in a significant reduction (46%) in antibiotics treatment for suspected EOS (5.1 vs. 9.4%, P < 0.001). The ITS analysis demonstrated a sharp decline in the slope of antibiotic treatment in the post intervention period: (b = -0.14, p-value = 0.08). The length of hospitalization was significantly reduced in the post-implementation cohort from 62 to 60 h (p-value < 0.001) with no clinical significance. The incidence of EOS was similar in both groups.    Conclusion: A significant reduction in antibiotic treatment was demonstrated after the implementation of the KP calculator without an increase incidence of EOS. The calculator is a powerful accessory decision-making tool that can be used safely in combination with, but not replacing, thorough clinical assessment. What is Known: • The EOS calculator is a useful tool that leads to a significant reduction in preemptive antibiotic utilization. What is New: • The EOS calculator is sensitive when applied to the whole-nursery. • The calculator is useful in different populations, also when women are not routinely screened for GBS.

Less is more: Antibiotics at the beginning of life

Antibiotic exposure at the beginning of life can lead to increased antimicrobial resistance and perturbations of the developing microbiome. Early-life microbiome disruption increases the risks of developing chronic diseases later in life. Fear of missing evolving neonatal sepsis is the key driver for antibiotic overtreatment early in life. Bias (a systemic deviation towards overtreatment) and noise (a random scatter) affect the decision-making process. In this perspective, we advocate for a factual approach quantifying the burden of treatment in relation to the burden of disease balancing antimicrobial stewardship and effective sepsis management.

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

OBJECTIVE

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

DESIGN

Evidence-based quality improvement initiative.

SETTING/LOCAL PROBLEM

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

PARTICIPANTS

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

INTERVENTION/MEASUREMENTS

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

RESULTS

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

CONCLUSION

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

Microbiologic Epidemiology of Early-onset Sepsis in Neonates Born at ≥35 0/7 Weeks' Gestation in Korea During 2009-2018

BACKGROUND

Sepsis within the first 3 days of life remains a leading cause of neonatal mortality and morbidity. However, few studies have addressed the epidemiology of sepsis in late preterm and term neonates, particularly in Asia. We aimed to estimate the epidemiology of early-onset sepsis (EOS) in neonates born at ≥35 0/7 weeks' gestation in Korea.

METHODS

A retrospective study was conducted in neonates with proven EOS born at ≥35 0/7 weeks' gestation from 2009 to 2018 at seven university hospitals. EOS was defined as identifying bacteria from a blood culture within 72 hours after birth.

RESULTS

A total of 51 neonates (0.36/1,000 live births) with EOS were identified. The median duration from birth to the first positive blood culture collection was 17 hours (range, 0.2-63.9). Among the 51 neonates, 32 (63%) patients were born by vaginal delivery. The median Apgar score was 8 (range, 2-9) at 1 minute and 9 (range, 4-10) at 5 minutes. The most common pathogen was group B Streptococcus (n = 21; 41.2%), followed by coagulase-negative staphylococci (n = 7; 13.7%) and Staphylococcus aureus (n = 5, 9.8%). Forty-six (90.2%) neonates were treated with antibiotics on the first day of symptom onset, and 34 (73.9%) neonates received susceptible antibiotics. The overall 14-day case-fatality rate was 11.8%.

CONCLUSION

This is the first multicenter study on the epidemiology of proven EOS in neonates born at ≥35 0/7 weeks' gestation and found that group B Streptococcus was the most common pathogen in Korea.

Development and validation of machine learning-based clinical decision support tool for identifying malnutrition in NICU patients

Hospitalized newborns have an increased risk of malnutrition and, especially preterm infants, often experience malnutrition-related extrauterine growth restriction (EUGR). The aim of this study was to predict the discharge weight and the presence of weight gain at discharge with machine learning (ML) algorithms. The demographic and clinical parameters were used to develop the models using fivefold cross-validation in the software-R with a neonatal nutritional screening tool (NNST). A total of 512 NICU patients were prospectively included in the study. Length of hospital stay (LOS), parenteral nutrition treatment (PN), postnatal age (PNA), surgery, and sodium were the most important variables in predicting the presence of weight gain at discharge with a random forest classification (AUROC:0.847). The AUROC of NNST-Plus, which was improved by adding LOS, PN, PNA, surgery, and sodium to NNST, increased by 16.5%. In addition, weight at admission, LOS, gestation-adjusted age at admission (> 40 weeks), sex, gestational age, birth weight, PNA, SGA, complications of labor and delivery, multiple birth, serum creatinine, and PN treatment were the most important variables in predicting discharge weight with an elastic net regression (R² = 0.748). This is the first study on the early prediction of EUGR with promising clinical performance based on ML algorithms. It is estimated that the incidence of EUGR can be improved with the implementation of this ML-based web tool ( http://www.softmed.hacettepe.edu.tr/NEO-DEER/ ) in clinical practice.

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.

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

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

Conservative management of newborns with 35 weeks or more of gestational age at risk for early-onset sepsis: a Brazilian cohort study

OBJECTIVE

To evaluate the conservative management of newborns born at ≥35 weeks of gestational age, at risk for early-onset neonatal sepsis (EOS).

METHODS

Retrospective, analytic cohort study (2016 to 2019), including newborns ≥35 weeks of gestational at risk of EOS, asymptomatic at birth, managed conservatively in full rooming-in: serial physical examination and clinical observation for at least 48 h. They were classified into three groups, according to the clinical course: asymptomatic (group A), symptomatic for other reasons (group B), and with sepsis (group C). Risk factors, clinical signs and differential diagnoses of sepsis, length of stay, and discharge conditions were evaluated.

RESULTS

The authors evaluated 769 asymptomatic newborns at risk of EOS. (mean birth weight 2999 ± 485 g and gestational age 37.6 ± 1.7 weeks, respectively) corresponding to 12.2% of rooming-in admissions. The most prevalent risk factors were colonization by Group B Streptococcus (29%), prolonged rupture membrane duration (21.9%) and preterm labor (21.4%). Most of all of them (53.9%) remained asymptomatic (group A). Group B corresponded for 45.3%, and the most common clinical signs were hypothermia (24.5%), tremors (8.7%) and vomiting (8%). Environmental dysthermia (50.7%), prematurity (20.0%), and feeding intolerance (15.7%) were common in Group B. Laboratory tests were performed in 3.5%. Five patients (one confirmed) comprised group C (0.8/1,000 live births). There were no deaths. The median length of stay was 64 h (IQR 50-93).

CONCLUSION

The rate of clinical/confirmed EOS was low. Most of the symptomatic patients only needed clinical evaluation to rule out sepsis. Management was shown to be safe.

The full blood count in screening asymptomatic infants for early-onset sepsis: A cross-sectional study

AIM

The full blood count (FBC) is commonly measured as part of a partial septic work-up in asymptomatic infants at increased risk of early-onset neonatal sepsis (EOS). To determine the impact of FBC parameters on infants' subsequent management a retrospective cross-sectional study was performed.

METHODS

Infants, born at ≥34 weeks gestation, asymptomatic at birth, undergoing a partial septic work-up and receiving prophylactic antibiotics due to increased risk of EOS in a single centre over a 2-year period, were included. The primary outcome measure was frequency of FBC result impacting on duration of antibiotic therapy. Secondary outcome measures included frequency of FBC parameters outside of the reference range and incidental diagnoses.

RESULTS

In total, 16 726 live-born infants were delivered during the study period. A total of 802 (4.8%) were included. Thirteen infants (1.6%) received a prolonged course of antibiotics due to suspicion for EOS. Two of these infants had elevated white cell counts. All had normal neutrophil counts. In no case did the FBC result influence the decision to prolong the antibiotic course.

CONCLUSION

In a cohort of 802 infants, asymptomatic at birth and at increased risk of EOS, the FBC result did not impact on the decision to prolong the course of antibiotics for suspicion of EOS.

How to assess early-onset neonatal sepsis? Comparison of three detection strategies

INTRODUCTION

Early-onset neonatal sepsis (EONS) can cause significant morbidity and mortality, especially if it is not detected early. Given the decrease in its incidence in the past few decades, it is important to find a balance between reducing the use of diagnostic tests and continuing to detect affected patients. We compared 3 detection strategies in patients with risk factors (RFs) for infection: laboratory screening (S1), the Neonatal Sepsis Risk Calculator (S2) and clinical observation (S3).

PATIENTS AND METHODS

Retrospective observational study in neonates born at 34 weeks of gestation or later and with RFs or symptoms compatible with EONS. We analysed outcomes in our unit with the use of laboratory screening (S1) and compared them with the other two strategies (S2 and S3) to contemplate whether to modify our protocol.

RESULTS

The study included 754 patients, and the most frequent RFs were prolonged rupture of membranes (35.5%) and maternal colonization by Streptococcus agalactiae (38.5%). Strategies S2 and S3 would decrease the performance of laboratory tests (S1, 56.8% of patients; S2, 9.9%; S3, 22.4%; P < 0.01), hospital admissions (S1, 11%; S2, 6.9%; S3, 7.9%; P < 0.01) and the use of antibiotherapy (S1, 8.6%; S2, 6.7%; S3, 6.4%; P < 0.01). Sepsis was diagnosed in 13 patients, and it would have been detected with S2 and S3 except in 1 patient who had asymptomatic bacteriemia by Enterococcus faecalis. No patient with mild and self-limited symptoms in whom antibiotherapy was not started received a diagnosis of sepsis later on.

CONCLUSION

Close clinical observation seems to be a safe option and could reduce the use of diagnostic tests, hospital admission and unnecessary antibiotherapy. The watchful waiting approach in patients with mild and self-limiting symptoms in the first hours post birth does not appear to be associated with failure to identify sepsis.

Association of placental histology and neonatal hematologic outcomes

OBJECTIVE

The objective of the paper was to investigate how neonatal hematologic outcomes vary by major placental histopathology categories.

STUDY DESIGN

Placental pathology reports from 5263 subjects were coded into individual placental lesions. Infant hematologic data (complete blood count parameters (n = 1945), transfusions, and phototherapy) were compared by placental pathologic phenotype.

RESULTS

Red blood cell transfusions were more likely with maternal vascular malperfusion (MVM; OR 9.4 [2.2, 40.8]) and chronic inflammation (1.7 [1.04, 2.7]). White blood cells were decreased with MVM (10.6 10³/μL vs 16.4) and elevated with acute inflammation (AI; 18.6 vs 11.9). Thrombocytopenia was associated with MVM (OR 3.7 [2.2, 5.1]) and fetal vascular malperfusion (FVM; OR 2.6 [1.5, 4.6]). Platelet transfusions were more likely with MVM (OR 8.3 [4.6, 15.0]) and FVM (OR 2.9 [1.4, 6.1]). Phototherapy was associated with MVM (OR 3.3 [2.7, 4.0]) and AI (OR 0.8 [0.6, 0.9]).

CONCLUSIONS

Neonatal hematologic outcomes are associated with the in utero environment described by placental pathology.

Innovating Evaluation and Treatment of Intrapartum Fevers: Where Do We Go from Here?

As intrapartum fevers are not always infectious in origin, determining whether antibiotics are indicated is challenging. We previously sought to create a point-of-care calculator using clinical data available at the time of an intrapartum fever to identify the subset of women who require antibiotic treatment to avoid maternal and neonatal morbidity. Despite the use of a comprehensive dataset from our institutions, we were unable to propose a valid and highly predictive model. In this commentary, we discuss why our model failed, as well as future research directions to identify and treat true intraamniotic infection. Developing a risk-stratification model is paramount to minimizing maternal and neonatal exposure to unnecessary antibiotics while allowing for early identification of women and babies at risk for infectious morbidity. KEY POINTS: · Determining whether antibiotics are indicated in intrapartum fever is challenging.. · Developing a risk-stratification model for febrile laboring women is critical to decreasing harm.. · A point-of-care calculator based on clinical and biomarker data is the necessary approach..

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..

What's new in the management of neonatal early-onset sepsis?

The expert guidelines highlighted in this review provide an evidence-based framework for approaching at-risk infants and allow for a more limited and standardised approach to antibiotic use. While these guidelines have significantly reduced antibiotic utilisation worldwide, optimally each unit would individualise their approach to early onset sepsis (EOS) based on the neonatal population they serve and available resources. As advancements in EOS research continue and limitations with sepsis prediction tools are addressed, it is inevitable that our risk stratification and management guidelines will become more precise.