Artikel: Prediction of intrapartum fever using continuously monitored vital signs and heart rate variability.
2023 Band 9, Seite(n) 20552076231187594
Abstract: Objectives: Neonatal early onset sepsis (EOS), bacterial infection during the first seven days of life, is difficult to diagnose because presenting signs are non-specific, but early diagnosis before birth can direct life-saving treatment for mother and ... ...
Abstract | Objectives: Neonatal early onset sepsis (EOS), bacterial infection during the first seven days of life, is difficult to diagnose because presenting signs are non-specific, but early diagnosis before birth can direct life-saving treatment for mother and baby. Specifically, maternal fever during labor from placental infection is the strongest predictor of EOS. Alterations in maternal heart rate variability (HRV) may precede development of intrapartum fever, enabling incipient EOS detection. The objective of this work was to build a predictive model for intrapartum fever. Methods: Continuously measured temperature, heart rate, and beat-to-beat RR intervals were obtained from wireless sensors on women ( Results: Fever (>38.0 °C) was detected by manual or continuous measurements in 48 women. Compared to afebrile mothers, average SDNN and RMSSD in febrile mothers decreased significantly ( Conclusions: HRV-based predictive models could identify mothers at risk for fever and infants at risk for EOS, guiding maternal antibiotic prophylaxis and neonatal monitoring. |
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Sprache | Englisch |
Erscheinungsdatum | 2023-07-09 |
Erscheinungsland | United States |
Dokumenttyp | Journal Article |
ZDB-ID | 2819396-9 |
ISSN | 2055-2076 |
ISSN | 2055-2076 |
DOI | 10.1177/20552076231187594 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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