Literature DB >> 33394269

Efficacy of continuous monitoring of maternal temperature during labor using wireless axillary sensors.

Robert Koppel1, Shubham Debnath2, Theodoros P Zanos2, Nafeesa Saadi1, Debra Potak1, Natalie Meirowitz3, Barry Weinberger4.   

Abstract

Neonatal early onset sepsis (EOS) occurs in 0.5-0.8/1000 live births and is a major cause of morbidity and mortality. Its presenting signs in newborns are non-specific, so risk assessment before birth is essential. Maternal fever during labor is the strongest predictor of EOS, but the current standard is for infrequent manual determinations of temperature. We aimed to determine whether continuous measurement of temperature during labor is feasible, accurate, and more effective than manual measurements for detecting fever. Women were recruited on admission in labor at > 35 weeks gestational age, with < 6 cm cervical dilation. Sensors were affixed in the axilla, which transmitted every 4 minutes by Bluetooth to a dedicated tablet. Conventional temperature measurements were taken every 3-6 hours per routine. Of 336 subjects recruited, 155 had both > 4 hours of continuous data and > 2 manual temperature measurements and were included for analysis. Continuous recordings were feasible and correlated well with manual measurements independent of mean temperature. Of 15 episodes of fever > 38 °C detected by both methods, 13 were detected earlier by continuous (9 of those more than 1 hour earlier). Manual measurements missed 32 fevers > 38 °C and 13 fevers > 38.5 °C that were identified by continuous. Continuous measurement of maternal temperature for the duration of labor is practical and accurate. It may be more sensitive for identifying infants at risk for EOS than the current practice, enabling earlier and more effective targeted treatment of affected infants.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature.

Entities:  

Keywords:  Labor; Neonatal early-onset sepsis; Wireless monitoring

Mesh:

Year:  2021        PMID: 33394269     DOI: 10.1007/s10877-020-00625-5

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  6 in total

1.  Estimating the probability of neonatal early-onset infection on the basis of maternal risk factors.

Authors:  Karen M Puopolo; David Draper; Soora Wi; Thomas B Newman; John Zupancic; Ellice Lieberman; Myesha Smith; Gabriel J Escobar
Journal:  Pediatrics       Date:  2011-10-24       Impact factor: 7.124

2.  The burden of invasive early-onset neonatal sepsis in the United States, 2005-2008.

Authors:  Emily J Weston; Tracy Pondo; Melissa M Lewis; Pat Martell-Cleary; Craig Morin; Brenda Jewell; Pam Daily; Mirasol Apostol; Sue Petit; Monica Farley; Ruth Lynfield; Art Reingold; Nellie I Hansen; Barbara J Stoll; Andi L Shane; Elizabeth Zell; Stephanie J Schrag
Journal:  Pediatr Infect Dis J       Date:  2011-11       Impact factor: 2.129

3.  Early onset sepsis calculator-based management of newborns exposed to maternal intrapartum fever: a cost benefit analysis.

Authors:  Cynthia L Gong; Shom Dasgupta-Tsinikas; Kenneth M Zangwill; Michael Bolaris; Joel W Hay
Journal:  J Perinatol       Date:  2019-01-28       Impact factor: 2.521

4.  Wireless Vital Sign Monitoring in Pregnant Women: A Functionality and Acceptability Study.

Authors:  Adeline Adwoa Boatin; Blair Johnson Wylie; Ilona Goldfarb; Robin Azevedo; Elena Pittel; Courtney Ng; Jessica Elizabeth Haberer
Journal:  Telemed J E Health       Date:  2016-05-12       Impact factor: 3.536

Review 5.  Reappraisal of guidelines for management of neonates with suspected early-onset sepsis.

Authors:  William E Benitz; James L Wynn; Richard A Polin
Journal:  J Pediatr       Date:  2015-01-29       Impact factor: 4.406

6.  Current Evidence for Continuous Vital Signs Monitoring by Wearable Wireless Devices in Hospitalized Adults: Systematic Review.

Authors:  Jobbe P L Leenen; Crista Leerentveld; Joris D van Dijk; Henderik L van Westreenen; Lisette Schoonhoven; Gijsbert A Patijn
Journal:  J Med Internet Res       Date:  2020-06-17       Impact factor: 5.428

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.