Profile of antimicrobial use and potential use of the defined daily dose in neonatology.

One of the measures for monitoring microbial resistance is the calculation of the defined daily dose of antimicrobial agents. For this calculation, the weight of an adult of 70 kg is used as a standard, so that application in neonatology is not possible. The aim of this study is to describe the use profile and calculate the defined daily dose (DDD) of antimicrobials in a neonatal intensive care unit (NICU) of a public hospital in the interior of Bahia, Brazil. From March 2020 to December 2021, the medical records of 712 newborns admitted to a NICU between September 2018 and June 2020 were analyzed. A total of 410 newborns diagnosed with neonatal sepsis were included. The most used antimicrobials per patient were gentamicin (408/410; 99.5%), ampicillin (407; 99.3%), amikacin (29; 7.1%) and oxacillin (21; 5.1%), with a mean (SD) treatment duration of 9.8 (3.9) days. The most commonly used combination of antimicrobials was ampicillin with gentamicin, which was used in 406 patients (99.0%). The values for neonatal DDDs were on average 26 times lower than those for adult DDDs. The neonatal DDDs were similar to those observed in other studies. Ampicilin and cefepime were the antimicrobials for which the greatest differences were observed in neonatal DDDs compared with adult DDDs, which differed mainly between maintenance doses, reflecting the lack of international standards in neonatology. Standardization of DDDs as a surveillance measure has the potential to clarify the pattern of antimicrobial use in neonatal patients worldwide and, in particular, to prevent indiscriminate use and bacterial resistance.

Update to the Neonatal Early-Onset Sepsis Calculator Utilizing a Contemporary Cohort.

BACKGROUND AND OBJECTIVES: The Kaiser Permanente Neonatal Early-Onset Sepsis (EOS) Calculator has been an effective tool for risk stratification to safely reduce newborn antibiotic exposure. The calculator was derived from data on infants born between 1993 and 2007. Since that time, US obstetric practice has adopted universal antepartum screening for group B Streptococcus and intrapartum antibiotic prophylaxis guidance has changed. Our objective was to update the EOS calculator using a contemporary birth cohort and determine the effect of these changes on EOS case ascertainment and antibiotic recommendations. METHODS: The study included infants born at ≥35 weeks' gestation at 14 hospitals between January 2010 and December 2020 (n = 412 595 infants, EOS cases = 113). Model coefficients were re-estimated and the point estimates of the likelihood ratios for clinical status used to calculate the posterior probability of EOS. We compared the number of EOS cases correctly identified by each model (sensitivity) and the proportion of infants for whom empirical antibiotics are recommended. RESULTS: The original model had a sensitivity of 0.76 (95% confidence interval 0.63-0.85), while the updated model had a sensitivity of 0.80 (95% confidence interval 0.68-0.89), P = .15. The recommended empirical antibiotic use was 3.5% with the original model and 3.7% with the updated model, P < .0001. For each additional case identified by the updated model, an additional 158 infants would be treated with antibiotics. CONCLUSIONS: Both the original and updated EOS calculators are effective tools for quantifying EOS risk among infants born at ≥35 weeks' gestation.

Phenotypic bacterial epidemiology and antimicrobial resistance profiles in neonatal sepsis at Jimma medical center, Ethiopia: Insights from prospective study.

BACKGROUND: Epidemiological profiles and the rundown crisis of antimicrobial resistance from bacterial isolates in neonatal sepsis compel regular surveillance to enhance data-driven decision-making. Accordingly, this study aimed to assess the phenotypic epidemiology and antimicrobial resistance profiles of bacteria isolated from clinically suspected neonatal sepsis in Ethiopia. METHODS: A total of 342 neonates suspected of clinical sepsis were randomly included in a prospective observational study conducted at the neonatal intensive care unit (NICU) of Jimma medical center (JMC) from May 2022 to July 2023. Blood samples were collected from each neonate and subjected to a culture test for identification of bacterial isolates and their antibiotic resistance profiles following the standardized guidelines. The laboratory results, along with relevant clinical data, were recorded using WHONET and analyzed using STATA software. RESULTS: Out of the 342 blood samples that were analyzed, 138 samples (40.4%, 95% CI: 35.1-45.6, P<0.01) exhibited proven bacterial infection. The infection rates were notably higher in males with 85/138 (61.6%, 95% CI: 53.4-69.8, P<0.01) and neonates aged 0-3 days with 81/138 (58.7%, 95% CI: 50.5-66.9, P<0.01). The majority of the infections were attributed to Gram-negative bacteria, accounting for 101/138(73.2%, 95% CI: 65.6-80.7) cases, with 69/101(68.3%, 95% CI: 63.8-72.8) cases involving ESBL-producing strains, while Gram-positive bacteria were responsible for 26.8% (95% CI: 19.3-34.4) of the infections. The predominant isolates included Klebsiella pneumoniae (37.7%, 95% CI: 29.6-45.8), Coagulase-negative Staphylococci (CoNs) (20.3%, 95% CI: 13.6-27.0), and Acinetobacter species (11.6%, 95% CI: 6.0-17.1). Of the total cases, 43/72 (59.7%, 95% CI: 48.4-71.1, P<0.01) resulted in mortality, with 28/72 (38.9%, 95% CI: 27.70-50.1, P<0.03) deaths linked to Extended-Spectrum Beta-Lactamase (ESBL)-producing strains. Klebsiella pneumoniae displayed high resistance rates to trimethoprim-sulfamethoxazole (100%), ceftriaxone (100%), cefotaxime (98.1%), ceftazidime (90.4%), and gentamicin (84.6%). Acinetobacter species showed resistance to ampicillin (100%), cefotaxime (100%), trimethoprim-sulfamethoxazole (75%), ceftazidime (68.8%), chloramphenicol (68.8%), and ceftriaxone (68.8%). Likewise, CoNs displayed resistance to ampicillin (100%), penicillin (100%), cefotaxime (86.0%), gentamicin (57.2%), and oxacillin (32.2%). Multidrug resistance was observed in 88.4% (95% CI: 81.8-93.0) of isolates, with ESBL-producers significantly contributing (49.3%, 95% CI: 45.1-53.5). Furthermore, 23.0% (95% CI: 15.8-31.6) exhibited a prevalent resistance pattern to seven distinct antibiotic classes. CONCLUSION: The prevalence and mortality rates of neonatal sepsis were significantly high at JMC, with a notable surge in antibiotic and multidrug resistance among bacterial strains isolated from infected neonates, specifically ESBL-producers. These resistant strains have a significant impact on infection rates and resistance profiles, highlighting the requisite for enhanced diagnostic and antimicrobial stewardship, stringent infection control, and further molecular characterization of isolates to enhance neonatal survival.

Could P2X7 receptor be a potencial target in neonatal sepsis?

The United Nations Inter-Agency Group for Child Mortality Estimation (UNIGME) estimates that every year 2.5 million neonates die in their first month of life, accounting for nearly one-half of deaths in children under 5 years of age. Neonatal sepsis is the third leading cause of neonatal mortality. The worldwide burden of bacterial sepsis is expected to increase in the next decades due to the lack of effective molecular therapies to replace the administration of antibiotics whose efficacy is compromised by the emergence of resistant strains. In addition, prolonged exposure to antibiotics can have negative effects by increasing the risk of infection by other organisms. With the global burden of sepsis increasing and no vaccine nor other therapeutic approaches proved efficient, the World Health Organization (WHO) stresses the need for new therapeutic targets for sepsis treatment and infection prevention (WHO, A73/32). In response to this unresolved clinical issue, the P2X7 receptor (P2X7R), a key component of the inflammatory cascade, has emerged as a potential target for treating inflammatory/infection diseases. Indeed numerous studies have demonstrated the relevance of the purinergic system as a pharmacological target in addressing immune-mediated inflammatory diseases by regulating immunity, inflammation, and organ function. In this review, we analyze key features of sepsis immunopathophysiology focusing in neonatal sepsis and on how the immunomodulatory role of P2X7R could be a potential pharmacological target for reducing the burden of neonatal sepsis.

Shorter versus longer duration antibiotic regimens for treatment of suspected neonatal sepsis.

OBJECTIVES: This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To assess the safety and effectiveness of shorter versus longer duration antibiotic regimens for the treatment of suspected neonatal sepsis.

Predictors of gentamicin therapy failure in neonates with sepsis.

Sepsis is a common disease with high morbidity and mortality among newborns in intensive care units world-wide. Gram-negative bacillary bacteria are the major source of infection in neonates. Gentamicin is the most widely used aminoglycoside antibiotic in empiric therapy against early-onset sepsis. However, therapy failure may result due to various factors. The purpose of this study was to identify predictors of gentamicin therapy failure in neonates with sepsis. This was a prospective cross-sectional study at the Neonatal Intensive Care Unit at Windhoek Central Hospital over a period of 5 months in 2019. Neonates received intravenous gentamicin 5 mg/kg/24 h in combination with either benzylpenicillin 100 000 IU/kg/12 h or ampicillin 50 mg/kg/8 h. Logistic regression modeling was performed to determine the predictors of treatment outcomes. 36% of the 50 neonates were classified as having gentamicin treatment failure. Increasing treatment duration by 1 day resulted in odds of treatment failure increasing from 1.0 to 2.41. Similarly, one unit increase in CRP increases odds of gentamicin treatment failure by 49%. The 1 kg increase in birthweight reduces the log odds of treatment failure by 6.848, resulting in 99.9% decrease in the odds of treatment failure. One unit increase in WBC reduces odds of gentamicin treatment failure by 27%. Estimates of significant predictors of treatment failure were precise, yielding odds ratios that were within 95% confidence interval. This study identified the following as predictors of gentamicin therapy failure in neonates: prolonged duration of treatment, elevated C-reactive protein, low birthweight, and low white blood cell count.

Prevalence of carbapenem-resistant gram-negative bacteria among neonates suspected for sepsis in Africa: a systematic review and meta-analysis.

BACKGROUND: The emergence and rapid spread of gram-negative bacteria resistant to carbapenems among newborns is concerning on a global scale. Nonetheless, the pooled estimate of gram-negative bacteria resistant to carbapenem that cause neonatal sepsis in developing nations remains unknown. Thus, this study aimed to determine the combined prevalence of gram-negative bacteria resistant to carbapenem in African newborns who were suspected of having sepsis. METHODS: All studies published from January 1, 2010, up to December 30, 2023, from PubMed, Science Direct, Scopus electronic databases, and the Google Scholar search engine were researched. Isolates tested for carbapenem from neonates with sepsis, English language papers conducted in Africa, and cross-sectional and cohort studies papers were included. Using PRISMA guidelines, we systematically reviewed and meta-analyzed studies that assessed the prevalence of carbapenem-resistant gram-negative bacteria. The "Joanna Briggs Institute" was used critically to evaluate the quality of the included studies. The data analysis was carried out using STATA™ version 17. Heterogeneity across the studies was evaluated using Q and I 2 tests. The subgroup analysis was done and, funnel plot and Egger's regression test were used to detect publication bias. A sensitivity analysis was conducted. RESULTS: All 36 studies were included in the meta-analysis and systematic review. The pooled prevalence of carbapenem resistance in Africa was 30.34% (95% CI 22.03-38.64%). The pooled estimate of gram-negative bacteria resistant to imipenem, and meropenem was 35.57% (95% CI 0.67-70.54%) and 34.35% (95% CI 20.04% - 48.67%), respectively. A. baumannii and Pseudomonas spp. had pooled prevalence of 45.9% (95% CI 33.1-58.7%) and 43.0% (95% CI 23.0-62.4%), respectively. Similarly, Pseudomonas spp. and A. baumannii also exhibited strong meropenem resistance, with a pooled prevalence of 29.2% (95% CI 4.8-53.5%) and 36.7% (95% CI 20.1-53.3%), respectively. E. coli and K. pneumoniae were the two most common isolates. CONCLUSION: There should be urgent antimicrobial stewardship practices, strengthened surveillance systems and effective treatment for neonates with sepsis. There was remarkable variation in resistance across the continent.

Late-onset sepsis in newborns caused by Bacillus Cereus: a case report and literature review.

Bacillus cereus is a bacterium capable of causing late-onset neonatal sepsis. By analyzing 11 cases, this study investigates the diagnosis, treatment, and prognosis of Bacillus cereus infections, aiming to provide insights into clinical diagnosis and therapy. The study scrutinized 11 instances of late-onset neonatal sepsis, including two fatalities attributable to Bacillus cereus, one accompanied by cerebral hemorrhage. An examination and analysis of these cases' symptoms, signs, laboratory tests, and treatment processes, along with a review of related literature from 2010 to 2020, revealed a high mortality rate of 41.38% in non-gastrointestinal infections caused by Bacillus cereus. Our findings underscore the critical importance of rapid diagnosis and effective antimicrobial therapy in reducing mortality rates. Once the source of infection is identified, implementing effective infection control measures is essential.

Antibiotic Stewardship in Chorioamnionitis Exposed Neonates, A Quality Improvement Project.

BACKGROUND: Rates of neonatal early onset sepsis (EOS) in term infants have recently decreased. The 2018 AAP guidelines for the management of infants at risk for early onset sepsis allows for using a multivariate risk assessment to determine need for empiric antibiotics in infants 35 weeks or greater, including those exposed to chorioamnionitis. METHODS: A quality improvement (QI) project was undertaken to implement use of EOS calculator in chorioamnionitis exposed infants with an aim to safely decrease antibiotic exposure. Multiple Plan-Do-Study-Act (PDSA) cycles occurred to implement the change. Data regarding antibiotics, labs, length of stay and safety metrics were collected. RESULTS: Implementing the EOS calculator's use in chorioamnionitis exposed neonates decreased antibiotic exposure from 100% to 75%, and decreased average duration of antibiotics from 68 to 40 hours. Implementation decreased prolonged courses of antibiotics, lumbar punctures, length of stay and laboratory tests. No cases of early culture confirmed EOS were missed, and none occurred in this well appearing population. CONCLUSIONS: Quality improvement initiatives to implement evidence-based tools can safely and appropriately decrease antibiotic exposure in neonates.

Analysis of Differences in Neonatal Sepsis Caused by Streptococcus Agalactiae and Escherichia Coli.

BACKGROUND: Streptococcus agalactiae (GBS) and Escherichia coli (E. coli) are the main pathogenic bacteria in neonatal sepsis. Therefore, the clinical characteristics, nonspecific indicators, and drug susceptibilities of these two bacteria were studied. METHODS: In total, 81 and 80 children with sepsis caused by GBS and E. coli infection, respectively, admitted to the neonatal department of our hospital between May 2012 and July 2023, were selected, and the clinical characteris-tics of the two groups were analyzed. Nonspecific indicators and drug sensitivity test results were analyzed retrospectively. RESULTS: Birth weight, tachypnea, groan, tachycardia or bradycardia, and the incidence of complications, such as pneumonia, respiratory failure, and purulent meningitis, were higher in the GBS group than in the E. coli group. The children were born prematurely, and the mother had a premature rupture of membranes. The incidence of jaundice, abdominal distension, atypical clinical manifestations, and complications of necrotizing enterocolitis was lower than of the E. coli group, and the differences were statistically significant (p < 0.05). The WBC, NE#, NE#/LY#, hs-CRP, and PCT of the GBS group were higher than those of the E. coli group, whereas the MPV, D-D, and FDP levels were lower than those in the E. coli group. The differences were all statistically significant (p < 0.05). The 81-bead GBS had high resistance rates against tetracycline (95%), erythromycin (48.8%), and clindamycin (40%), and no strains resistant to vancomycin, linezolid, penicillin, or ampicillin appeared, whereas 80 strains of E. coli were more resistant to penicillin and third-generation cephalosporins, with the higher resistance rates to ampicillin (68.30%), trimethoprim/sulfamethoxazole (53.6%), and ciprofloxacin (42.90%). Resistance rates to carbapenems and aminoglycosides were extremely low. CONCLUSIONS: Both GBS and E. coli neonatal sepsis have specific clinical characteristics, especially in terms of clinical manifestations, complications, non-specific indicators, and drug resistance. Early identification is important for clinical diagnosis and treatment.

Shorter versus longer duration antibiotic regimens for treatment of culture-positive neonatal sepsis.

OBJECTIVES: This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To assess the safety and effectiveness of shorter versus longer duration antibiotic regimens for the treatment of culture-positive neonatal sepsis with or without meningitis.

Role of central endpoint adjudication and challenges in trials on neonatal sepsis-a case of ProSPoNS trial.

Despite progress in reducing the infant mortality in India, the neonatal mortality decline has been slower, necessitating concerted efforts to achieve Sustainable Development Goal-3. A promising strategy aiming to prevent neonatal sepsis in high-risk, vulnerable, low birth weight neonates through an innovative intervention includes probiotic supplementation. This article communicates the decision by the ProSPoNS trial investigators to establish a Central Endpoint Adjudication Committee (CEAC) as an addendum to the protocol published in Trials in 2021 for the purpose of clarifying the primary outcome. In the published protocol, the study hypothesis and primary objective are based on "sepsis," the primary outcome has been specified as sepsis/PSBI, whereas the sample size estimation was performed based on the "physician diagnosed sepsis." To align all the three above, the investigators meeting, held on 17th-18th August 2023, at MGIMS Sevagram, Wardha, deliberated and unanimously agreed that "physician diagnosed sepsis" is the primary study outcome which includes sepsis/PSBI. The CEAC, chaired by an external subject expert and members including trial statistician, a microbiologist, and all site principal investigators will employ four criteria to determine "physician diagnosed sepsis": (1) blood culture status, (2) sepsis screen status, (3) PSBI/non-PSBI signs and symptoms, and (4) the clinical course for each sickness event. Importantly, this clarification maintains consistency with the approved study protocol (Protocol No. 5/7/915/2012 version 3.1 dated 14 Feb 2020), emphasizing the commitment to methodological transparency and adherence to predefined standards. The decision to utilize the guidance of a CEAC is recommended as the gold standard in multicentric complex clinical trials to achieve consistency and accuracy in assessment of outcomes.Trial registrationClinical Trial Registry of India (CTRI) CTRI/2019/05/019197. Registered on 16 May 2019.

Exploring factors influencing delayed first antibiotic treatment for suspected early-onset sepsis in preterm newborns: a study before quality improvement initiative.

BACKGROUND: Early-onset sepsis (EOS) is a serious illness that affects preterm newborns, and delayed antibiotic initiation may increase the risk of adverse outcomes. PURPOSE: The objective of this study was to examine the present time of antibiotic administration in preterm infants with suspected EOS and the factors that contribute to delayed antibiotic initiation. METHODS: In this retrospective study in China, a total of 82 early preterm infants with suspected EOS between December 2021 and March 2023 were included. The study utilized a linear regression analytical approach to identify independent factors that contribute to delayed antibiotic administration. RESULTS: The mean gestational age and birth weight of the study population were 29.1 ± 1.4 weeks and 1265.7 ± 176.8 g, respectively. The median time of initial antibiotic administration was 3.8 (3.1-5.0) hours. Linear regression revealed that severe respiratory distress syndrome (RDS) (ß = 0.07, P = 0.013), penicillin skin test (PST) timing (ß = 0.06, P < 0.001) and medical order timing (ß = 0.04, P = 0.017) were significantly associated with the initial timing of antibiotic administration. CONCLUSIONS: There is an evident delay in antibiotic administration in preterm infants with suspected EOS in our unit. Severe RDS, PST postponement and delayed medical orders were found to be associated with the delayed use of antibiotics, which will be helpful for quality improvement efforts in the neonatal intensive care unit (NICU).

Optimal use of ß-lactams in neonates: machine learning-based clinical decision support system.

BACKGROUND: Accurate prediction of the optimal dose for ß-lactam antibiotics in neonatal sepsis is challenging. We aimed to evaluate whether a reliable clinical decision support system (CDSS) based on machine learning (ML) can assist clinicians in making optimal dose selections. METHODS: Five ß-lactam antibiotics (amoxicillin, ceftazidime, cefotaxime, meropenem and latamoxef), commonly used to treat neonatal sepsis, were selected. The CDSS was constructed by incorporating the drug, patient, dosage, pharmacodynamic, and microbiological factors. The CatBoost ML algorithm was used to build the CDSS. Real-world studies were used to evaluate the CDSS performance. Virtual trials were used to compare the CDSS-optimized doses with guideline-recommended doses. FINDINGS: For a specific drug, by entering the patient characteristics and pharmacodynamic (PD) target (50%/70%/100% fraction of time that the free drug concentration is above the minimal inhibitory concentration [fT > MIC]), the CDSS can determine whether the planned dosing regimen will achieve the PD target and suggest an optimal dose. The prediction accuracy of all five drugs was >80.0% in the real-world validation. Compared with the PopPK model, the overall accuracy, precision, recall, and F1-Score improved by 10.7%, 22.1%, 64.2%, and 43.1%, respectively. Using the CDSS-optimized doses, the average probability of target concentration attainment increased by 58.2% compared to the guideline-recommended doses. INTERPRETATION: An ML-based CDSS was successfully constructed to assist clinicians in selecting optimal ß-lactam antibiotic doses. FUNDING: This work was supported by the National Natural Science Foundation of China; Distinguished Young and Middle-aged Scholar of Shandong University; National Key Research and Development Program of China.

Machine Learning: A Potential Therapeutic Tool to Facilitate Neonatal Therapeutic Decision Making.

Bacterial infection is one of the major causes of neonatal morbidity and mortality worldwide. Finding rapid and reliable methods for early recognition and diagnosis of bacterial infections and early individualization of antibacterial drug administration are essential to eradicate these infections and prevent serious complications. However, this is often difficult to perform due to non-specific clinical presentations, low accuracy of current diagnostic methods, and limited knowledge of neonatal pharmacokinetics. Although neonatal medicine has been relatively late to embrace the benefits of machine learning (ML), there have been some initial applications of ML for the early prediction of neonatal sepsis and individualization of antibiotics. This article provides a brief introduction to ML and discusses the current state of the art in diagnosing and treating neonatal bacterial infections, gaps, potential uses of ML, and future directions to address the limitations of current studies. Neonatal bacterial infections involve a combination of physiologic development, disease expression, and treatment response outcomes. To address this complex relationship, future models could consider appropriate ML algorithms to capture time series features while integrating influences from the host, microbes, and drugs to optimize antimicrobial drug use in neonates. All models require prospective clinical trials to validate their clinical utility before clinical use.

Challenges and opportunities in neonatal sepsis management: insights from a survey among clinicians in 25 Sub-Saharan African countries.

BACKGROUND: Neonatal sepsis (NS) is a global health issue, particularly in Sub-Saharan Africa, where it accounts for a substantial portion of neonatal morbimortality. This multicountry survey aimed to elucidate current practices, challenges and case definitions in managing NS among clinicians in Sub-Saharan Africa. METHODS: The survey targeted physicians and medical practitioners working in neonatal care who participated in a Self-Administered Web Questionnaire. The main objective was to understand NS and infection case definitions and management from the clinician's point of view and to identify challenges and opportunities in sepsis management. Participants were queried on demographics, definitions and diagnostic criteria, treatment approaches, and infection prevention and control (IPC) measures. A total of 136 participants from 93 healthcare structures responded, providing valuable insights into NS management practices. RESULTS: From May to July 2022 across 21 Sub-Saharan African countries, 136 neonatal clinicians with an average from 93 structures with on average 10-year experience took the survey. NS ranked highest among prevalent neonatal conditions. Diagnostic case definitions between sepsis and infection were attributed to clinical signs, anamnesis, C reactive protein, white blood cll count and blood cultures with no statistically significant differences. Early-onset sepsis was defined within 72 hours by 48%, while late-onset varied. Antibiotics were likely on admission (86.4%) and during the stay (82.2%). Treatment abandonment was reported unlikely. The preferred antibiotic regimen for early-onset sepsis was intravenous amoxicillin (or ampicillin), gentamycin and cefotaxime. Blood culture availability and IPC protocols were reported as limited, particularly concerning patient environment, pharmacy protocols and clean-dirty circuits. CONCLUSIONS: This NS survey emphasises clinicians' challenges due to limited access to diagnostic tools and raises concerns about antimicrobial overexposure. IPC also seem limited, according to participants. Addressing these challenges can enhance diagnostic practices, antibiotic stewardship and infection control in the region.

Trends in C-Reactive Protein Use in Early-onset Sepsis Evaluations and Associated Antibiotic Use.

OBJECTIVE: To determine the prevalence of C-reactive protein (CRP) use in early-onset sepsis (EOS) evaluations in neonatal intensive care units (NICUs) across the US over time and to determine the association between CRP use and antibiotic use. STUDY DESIGN: A retrospective cohort study of NICUs contributing data to Premier Healthcare Database from 2009 through 2021. EOS evaluation was defined as a blood culture charge ≤ 3 days after birth. CRP use for each NICU was calculated as the proportion of infants with a CRP test obtained ≤ 3 days after birth among those undergoing an EOS evaluation and categorized as, low (<25%); medium-low (25 to < 50%), medium-high (50 to < 75%), and high (≥75%). Outcomes included antibiotic use and mortality ≤ 7 days after birth. RESULTS: Among 572 NICUs, CRP use varied widely and was associated with time. The proportion of NICUs with high CRP use decreased from 2009 to 2021 (24.7% vs 17.4%, P < .001), and those with low CRP use increased (47.9% vs 64.8%, P < .001). Compared with low-use NICUs, high-use NICUs more frequently continued antibiotics > 3 days (10% vs 25%, P < .001). This association persisted in multivariable-adjusted regression analyses (adjusted risk ratio 1.95, 95%CI 1.54, 2.48). Risk of mortality was not different in high-use NICUs (adjusted risk difference -0.02%, 95%CI -0.04%, 0.0008%). CONCLUSIONS: CRP use in EOS evaluations varied widely across NICUs. High CRP use was associated with prolonged antibiotic therapy but not mortality ≤ 7 days after birth. Reducing routine CRP use in EOS evaluations may be a target for neonatal antibiotic stewardship efforts.

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.

Antimicrobial Stewardship Programs in Neonates: A Meta-Analysis.

BACKGROUND AND OBJECTIVES: Neonatal sepsis is a significant contributor to mortality and morbidity; however, the uncontrolled use of antimicrobials is associated with significant adverse effects. Our objective with this article is to review the components of neonatal antimicrobial stewardship programs (ASP) and their effects on clinical outcomes, cost-effectiveness, and antimicrobial resistance. METHODS: We selected randomized and nonrandomized trials and observational and quality improvement studies evaluating the impact of ASP with a cutoff date of May 22, 2023. The data sources for these studies included PubMed, Medline, Embase, Cochrane CENTRAL, Web of Science, and SCOPUS. Details of the ASP components and clinical outcomes were extracted into a predefined form. RESULTS: Of the 4048 studies retrieved, 70 studies (44 cohort and 26 observational studies) of >350 000 neonates met the inclusion criteria. Moderate-certainty evidence reveals a significant reduction in antimicrobial initiation in NICU (pooled risk difference [RD] 19%; 95% confidence interval [CI] 14% to 24%; 21 studies, 27 075 infants) and combined NICU and postnatal ward settings (pooled RD 8%; 95% CI 6% to 10%; 12 studies, 358 317 infants), duration of antimicrobial agents therapy (pooled RD 20%; 95% CI 10% to 30%; 9 studies, 303 604 infants), length of therapy (pooled RD 1.82 days; 95% CI 1.09 to 2.56 days; 10 studies, 157 553 infants), and use of antimicrobial agents >5 days (pooled RD 9%; 95% CI 3% to 15%; 5 studies, 9412 infants). Low-certainty evidence reveals a reduction in economic burden and drug resistance, favorable sustainability metrices, without an increase in sepsis-related mortality or the reinitiation of antimicrobial agents. Studies had heterogeneity with significant variations in ASP interventions, population settings, and outcome definitions. CONCLUSIONS: Moderate- to low-certainty evidence reveals that neonatal ASP interventions are associated with reduction in the initiation and duration of antimicrobial use, without an increase in adverse events.

Assessment of three antibiotic combination regimens against Gram-negative bacteria causing neonatal sepsis in low- and middle-income countries.

Gram-negative bacteria (GNB) are a major cause of neonatal sepsis in low- and middle-income countries (LMICs). Although the World Health Organization (WHO) reports that over 80% of these sepsis deaths could be prevented through improved treatment, the efficacy of the currently recommended first- and second-line treatment regimens for this condition is increasingly affected by high rates of drug resistance. Here we assess three well known antibiotics, fosfomycin, flomoxef and amikacin, in combination as potential antibiotic treatment regimens by investigating the drug resistance and genetic profiles of commonly isolated GNB causing neonatal sepsis in LMICs. The five most prevalent bacterial isolates in the NeoOBS study (NCT03721302) are Klebsiella pneumoniae, Acinetobacter baumannii, E. coli, Serratia marcescens and Enterobacter cloacae complex. Among these isolates, high levels of ESBL and carbapenemase encoding genes are detected along with resistance to ampicillin, gentamicin and cefotaxime, the current WHO recommended empiric regimens. The three new combinations show excellent in vitro activity against ESBL-producing K. pneumoniae and E. coli isolates. Our data should further inform and support the clinical evaluation of these three antibiotic combinations for the treatment of neonatal sepsis in areas with high rates of multidrug-resistant Gram-negative bacteria.