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

ABSTRACT: Background:The use of sepsis risk scores (SRSs), calculated based on the neonatal early-onset sepsis (EOS) calculator, has been shown to limit the unwarranted sepsis evaluations and to reduce the empirical use of antibiotics in neonates.s. Purpose:To reduce both the sepsis evaluation rate (SER) and antibiotic initiation rate (AIR) by 25% from baseline by incorporating conservative SRS cutoff values into the routine sepsis risk assessment of well-appearing neonates born at 34 weeks and older gestation. Methods:During a pre quality improvement (QI) period (June 2016-August 2016), a QI team calculated SRS on all newborn infants to determine safe SRS cutoff values. During the QI-study period (September 2016-November 2017), we implemented an EOS evaluation algorithm based on 2 SRS cutoff values, 0.05 (later increased to 0.1) for sepsis evaluation and 0.3 for the initiation of antibiotic therapy. Monthly SER and AIR were summarized and analyzed by using standard statistical tests and statistical process control charts. During the surveillance phase (January 2019-June 2019), we evaluated whether previously attained improvements in SER and AIR were sustained. Results:During the pre-QI period, the mean (±SD) of monthly SER and monthly AIR were 23.8% (±5.7%) and 6.2% (±0.4%), respectively. During the QI-study period, the mean (±SD) of monthly SER and monthly AIR decreased to 15% (±4.7%), P = 0.01, and 3.2% (±1.5%), P = 0.005, respectively. During the surveillance period, both outcome measures were comparable with the QI-study period. Conclusion:The implementation of a modified EOS calculator-based EOS algorithm using a conservative approach was successful in reducing antibiotic exposure and the need for blood work in well-appearing neonates.

SUBMITTER: Zayek M

PROVIDER: S-EPMC7351455 | biostudies-literature | 2020 Jul-Aug

REPOSITORIES: biostudies-literature

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

Zayek Michael M Bhat Jayalakshmi J Bonner Katie K Blake Michelle M Peevy Keith K Jha Om Prakash OP Gulati Rashmi R Bhat Ramachandra R

Pediatric quality & safety 20200707 4

<h4>Background</h4>The use of sepsis risk scores (SRSs), calculated based on the neonatal early-onset sepsis (EOS) calculator, has been shown to limit the unwarranted sepsis evaluations and to reduce the empirical use of antibiotics in neonates.s.<h4>Purpose</h4>To reduce both the sepsis evaluation rate (SER) and antibiotic initiation rate (AIR) by 25% from baseline by incorporating conservative SRS cutoff values into the routine sepsis risk assessment of well-appearing neonates born at 34 weeks ...[more]

PMID: 32766501

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Project description:BackgroundThe early-onset sepsis calculator (EOSC) reduces unnecessary antibiotic treatment in newborns. However, its performance in identifying cases with early-onset disease (EOD) is unclear. We compared the sensitivity of the EOSC to the current Dutch and National Institute for Health and Care Excellence (NICE) guidelines when applied to a cohort of newborns with culture-positive early-onset sepsis and meningitis.MethodsCulture-positive Streptococcus agalactiae (GBS) and Escherichia coli (E. coli) sepsis and meningitis patients ≤3 days old with a gestational age ≥34 weeks, identified between 1/1/2018 and 31/1/2021 in a Dutch prospective nationwide cohort study were included. Cases were identified by treating physicians and microbiological surveillance. Primary outcome was the proportion of patients that would have been treated according to the EOSC, the Dutch, and the NICE EOD prevention guidelines. Differences between proportions were analysed using McNemar's test.FindingsWe included 81 GBS and 7 E. coli EOD cases. At 4 h after birth, the EOSC would have recommended antibiotic treatment in 32 (36%) patients, compared to 44 (50%) by the Dutch (p<0·01) and 48 (55%) by the NICE guideline (p<0·01). The EOSC would have initially recommended routine care for 52% of patients compared to 31% and 30% for the Dutch and NICE guidelines (p<0·01). At 24 h after birth, the EOSC would have recommended antibiotic treatment in 54 (61%) infants compared to 64 (73%) by the Dutch (p = 0·02) and 63 (72%) by the NICE guidelines (p = 0·06).InterpretationThe sensitivity of the EOSC in identifying cases of EOD is lower compared to both Dutch and NICE guidelines, especially directly after birth. The EOSC relies more on clinical symptoms and results in less overtreatment of healthy newborns at the cost of later antibiotic treatment in initially well-appearing EOD patients.FundingThis work was supported by grants received from Netherlands Organization for Health Research and Development (ZonMw; NWO-Vidi-Grant (grant number 917·17·308); NWO-Vici-Grant (grant number 918·19·627)), the Academic Medical Centre (AMC Innovative Impulse Grant) and Steun Emma Foundation Grant.

Project description:ImportanceThe neonatal early-onset sepsis (EOS) calculator is a clinical risk stratification tool increasingly used to guide the use of empirical antibiotics for newborns. Evidence on the effectiveness and safety of the EOS calculator is essential to inform clinicians considering implementation.ObjectiveTo assess the association between management of neonatal EOS guided by the neonatal EOS calculator (compared with conventional management strategies) and reduction in antibiotic therapy for newborns.Data sourcesElectronic searches in MEDLINE, Embase, Web of Science, and Google Scholar were conducted from 2011 (introduction of the EOS calculator model) through January 31, 2019.Study selectionAll studies with original data that compared management guided by the EOS calculator with conventional management strategies for allocating antibiotic therapy to newborns suspected to have EOS were included.Data extraction and synthesisFollowing PRISMA-P guidelines, relevant data were extracted from full-text articles and supplements. CHARMS (Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies) and GRADE (Grades of Recommendation, Assessment, Development and Evaluation) tools were used to assess the risk of bias and quality of evidence. Meta-analysis using a random-effects model was conducted for studies with separate cohorts for EOS calculator and conventional management strategies.Main outcomes and measuresThe difference in percentage of newborns treated with empirical antibiotics for suspected or proven EOS between management guided by the EOS calculator and conventional management strategies. Safety-related outcomes involved missed cases of EOS, readmissions, treatment delay, morbidity, and mortality.ResultsThirteen relevant studies analyzing a total of 175 752 newborns were included. All studies found a substantially lower relative risk (range, 3%-60%) for empirical antibiotic therapy, favoring the EOS calculator. Meta-analysis revealed a relative risk of antibiotic use of 56% (95% CI, 53%-59%) in before-after studies including newborns regardless of exposure to chorioamnionitis. Evidence on safety was limited, but proportions of missed cases of EOS were comparable between management guided by the EOS calculator (5 of 18 [28%]) and conventional management strategies (8 of 28 [29%]) (pooled odds ratio, 0.96; 95% CI, 0.26-3.52; P = .95).Conclusions and relevanceUse of the neonatal EOS calculator is associated with a substantial reduction in the use of empirical antibiotics for suspected EOS. Available evidence regarding safety of the use of the EOS calculator is limited, but shows no indication of inferiority compared with conventional management strategies.

Dataset Information

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

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

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