The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Stratification of Risk of Early-Onset Sepsis in Newborns ≥34 Weeks’ Gestation
Open accessAbstract
OBJECTIVE: To define a quantitative stratification algorithm for the risk of early-onset sepsis (EOS) in newborns ≥34 weeks’ gestation. METHODS: We conducted a retrospective nested case-control study that used split validation. Data collected on each infant included sepsis risk at birth based on objective maternal factors, demographics, specific clinical milestones, and vital signs during the first 24 hours after birth. Using a combination of recursive partitioning and logistic regression, we developed a risk classification scheme for EOS on the derivation dataset. This scheme was then applied to the validation dataset. RESULTS: Using a base population of 608 014 live births ≥34 weeks’ gestation at 14 hospitals between 1993 and 2007, we identified all 350 EOS cases <72 hours of age and frequency matched them by hospital and year of birth to 1063 controls. Using maternal and neonatal data, we defined a risk stratification scheme that divided the neonatal population into 3 groups: treat empirically (4.1% of all live births, 60.8% of all EOS cases, sepsis incidence of 8.4/1000 live births), observe and evaluate (11.1% of births, 23.4% of cases, 1.2/1000), and continued observation (84.8% of births, 15.7% of cases, incidence 0.11/1000). CONCLUSIONS: It is possible to combine objective maternal data with evolving objective neonatal clinical findings to define more efficient strategies for the evaluation and treatment of EOS in term and late preterm infants. Judicious application of our scheme could result in decreased antibiotic treatment in 80 000 to 240 000 US newborns each year.
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Cites
Prevention of perinatal group B streptococcal disease--revised guidelines from CDC, 2010.
Schrag, S. D., Gorwitz, R. J., Fultz-Butts, K., & Schuchat, A. (2002) · PubMed · Cited by 3,183
Management of Neonates With Suspected or Proven Early-Onset Bacterial Sepsis
Polin, R. A., the COMMITTEE ON FETUS AND NEWBORN, Papile, L.-A., Baley, J. E., Bhutani, V. K., Carlo, W. A., Cummings, J., Kumar, P., Tan, R. C., Wang, K. S., et al. (2012) · Pediatrics · doi:10.1542/peds.2012-0541 · Cited by 802
Prevention of Perinatal Group B Streptococcal Disease: A Public Health Perspective: (547302006-001)
(1996) · PsycEXTRA Dataset · doi:10.1037/e547302006-001 · Cited by 709
Prevention of Perinatal Group B Streptococcal Disease: (548432006-001)
(2002) · PsycEXTRA Dataset · doi:10.1037/e548432006-001 · Cited by 554
The Burden of Invasive Early-onset Neonatal Sepsis in the United States, 2005–2008
Weston, E. J., Pondo, T., Lewis, M. M., Martell-Cleary, P., Morin, C. A., Jewell, B., Kirley, P. D., Apostol, M. M., Petit, S., Farley, M. M., et al. (2011) · The Pediatric Infectious Disease Journal · doi:10.1097/inf.0b013e318223bad2 · Cited by 508
Seventy-Five Years of Neonatal Sepsis at Yale: 1928–2003
Bizzarro, M. J., Raskind, C., Baltimore, R. S., & Gallagher, P. G. (2005) · Pediatrics · doi:10.1542/peds.2005-0552 · Cited by 469
Estimating the Probability of Neonatal Early-Onset Infection on the Basis of Maternal Risk Factors
Puopolo, K. M., Draper, D., Wi, S., Newman, T. B., Zupancic, J., Lieberman, E., Smith, M., & Escobar, G. J. (2011) · Pediatrics · doi:10.1542/peds.2010-3464 · Cited by 393
Self-citationSchuchat, A., Zywicki, S. S., Dinsmoor, M. J., Mercer, B., Romaguera, J., O'Sullivan, M. J., Patel, D., Peters, M. T., Stoll, B., Levine, O. S., et al. (2000) · Pediatrics · doi:10.1542/peds.105.1.21 · Cited by 351
Early and Late Onset Sepsis in Late Preterm Infants
Cohen-Wolkowiez, M., Moran, C., Benjamin, D. K., Cotten, C. M., Clark, R. H., Benjamin, D. K., & Smith, P. B. (2009) · Pediatric Infectious Disease Journal · doi:10.1097/inf.0b013e3181acf6bd · Cited by 310
Neonatal Sepsis Workups in Infants ≥2000 Grams at Birth: A Population-Based Study
Escobar, G. J., Li, D.-K., Armstrong, M. A., Gardner, M. N., Folck, B. F., Verdi, J. E., Xiong, B., Bergen, R., & for the Neonatal Infection Study Group (2000) · Pediatrics · doi:10.1542/peds.106.2.256 · Cited by 245
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Cited by
Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014) · Health Affairs · doi:10.1377/hlthaff.2014.0041 · Cited by 1,235
Self-citationShane, A. L., Sánchez, P. J., & Stoll, B. J. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31002-4 · Cited by 1,226
Higgins, R. D., Saade, G., Polin, R. A., Grobman, W. A., Buhimschi, I. A., Watterberg, K., Silver, R. M., & Raju, T. N. K. (2016) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000001246 · Cited by 579
Puopolo, K. M., Benitz, W. E., Zaoutis, T. E., COMMITTEE ON FETUS AND NEWBORN, COMMITTEE ON INFECTIOUS DISEASES, Cummings, J., Juul, S., Hand, I., Eichenwald, E., Poindexter, B., et al. (2018) · Pediatrics · doi:10.1542/peds.2018-2894 · Cited by 459
Self-citationStoll, B. J., Puopolo, K. M., Hansen, N. I., Sánchez, P. J., Bell, E. F., Carlo, W. A., Cotten, C. M., D’Angio, C. T., Kazzi, S. N. J., Poindexter, B. B., et al. (2020) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2020.0593 · Cited by 401
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Metadata
- Authors
- Escobar, G. J., Puopolo, K. M., Wi, S., Turk, B. J., Kuzniewicz, M. W., Walsh, E. M., Newman, T. B., Zupancic, J., Lieberman, E., & Draper, D.
- Venue
- Pediatrics
- Publisher
- American Academy of Pediatrics (AAP)
- Published
- 2014-01-01
- Volume
- 133
- Issue
- 1
- Pages
- 30-36
- ISSN
- 0031-4005 (ISSN-L)
- 1098-4275
- OpenAlex
- W2094493298
- Cited by
- 381
- References
- 18
- FWCI
- 11.66
- Type
- journal article
- Language
- en
- Open access
- bronze
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