Neonatal Early-Onset Sepsis Calculator
Am Fam Physician. 2021 Dec ;104(6):636-637.
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Can the neonatal early-onset sepsis calculator safely and accurately evaluate the risk of early-onset sepsis in neonates?
Although early-onset sepsis is a potentially fatal condition in neonates, the incidence in the United States has significantly decreased over the past two decades with the implementation of intrapartum antibiotic prophylaxis for group B Streptococcus (GBS).1 Many neonates are unnecessarily exposed to empiric antibiotic therapy because physicians are using the Centers for Disease Control and Prevention (CDC) guidelines for management of early-onset sepsis. For every episode of culture-proven sepsis, up to 118 high-risk infants and up to 1,400 well-appearing infants born to mothers with chorioamnionitis will receive antibiotic therapy.2 Exposure to empiric antibiotics can result in sequelae, including separation of mother and infant, increased neonatal intensive care unit (NICU) admissions, difficulty breastfeeding, and increased health care costs.1,2
The Kaiser Permanente neonatal early-onset sepsis calculator (https://neonatalsepsiscalculator.kaiserpermanente.org) is a tool designed to improve the selection of neonates with suspected early-onset sepsis to receive empiric antibiotic therapy. The tool was created after analyzing a cohort of 608,014 newborns born at 34 weeks' gestation or later at 14 hospitals in the United States.3 This multivariate risk-assessment tool uses the estimated incidence of early-onset sepsis in a specific health care setting, gestational age, highest maternal antepartum temperature, length of rupture of membranes, maternal GBS status, and type of intrapartum antibiotics to calculate the risk of early-onset sepsis at birth. This risk is adjusted based on the clinical status of the infant by defining neonates as well-appearing, equivocal, or with clinical illness based on objective findings from a clinical examination. Based on the overall risk of early-onset sepsis, clinical monitoring, laboratory evaluation, or antibiotic administration is recommended. The creators of the risk assessment tool estimate that use of the calculator could result in 80,000 to 240,000 fewer newborns in the United States receiving antibiotic treatment.3
A meta-analysis of six high-quality non-randomized controlled trials and 172,385 neonates evaluated the sepsis calculator vs. the standard approach recommended by CDC guidelines for management of early-onset sepsis.1 All studies were published in 2017 or later and reported a statistically significant reduction in antibiotic use in neonates who were treated using the sepsis calculator compared with the standard approach (3.3% vs. 6%; odds ratio [OR] = 0.22; 95% CI, 0.14 to 0.36; P < .00001). The number needed to treat (NNT) was 37 to prevent the use of antibiotics in one neonate. An additional meta-analysis using many of the same studies confirmed the findings related to antibiotic use.2 Five of the studies reported data on laboratory testing for early-onset sepsis and included 168,432 neonates. All five studies reported a reduction in the number of laboratory tests in neonates who were treated using the sepsis calculator (2.5% vs. 15.5%; OR = 0.14; 95% CI, 0.08 to 0.27; P < .00001), with an NNT of 8 to prevent the use of laboratory testing in one neonate.1
Four studies involving 16,628 neonates included data on admissions to the NICU,
1. Deshmukh M, Mehta S, Patole S. Sepsis calculator for neonatal early onset sepsis—a systematic review and meta-analysis. J Matern Fetal Neonatal Med. 2021;34(11):1832–1840.
2. Achten NB, Klingenberg C, Benitz WE, et al. Association of use of the neonatal early-onset sepsis calculator with reduction in antibiotic therapy and safety: a systematic review and meta-analysis. JAMA Pediatr. 2019;173(11):1032–1040.
3. Escobar GJ, Puopolo KM, Wi S, et al. Stratification of risk of early-onset sepsis in newborns 34 weeks' gestation. Pediatrics. 2014;133(1):30–36.
This guide is one in a series that offers evidence-based tools to assist family physicians in improving their decision-making at the point of care.
This series is coordinated by Mark H. Ebell, MD, MS, deputy editor for evidence-based medicine.
A collection of Point-of-Care Guides published in AFP is available at https://www.aafp.org/afp/poc.
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