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Related Experiment Video

Updated: Nov 16, 2025

Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice
05:24

Modeling Ascending Vaginal Infection, Preterm Birth, and Neonatal Morbidity in Mice

Published on: October 10, 2025

114

Predicting Infection in Very Preterm Infants: A Study Protocol.

Robin B Dail, Kayla C Everhart, James W Hardin

    Nursing Research
    |February 25, 2021
    PubMed
    Summary
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    This study protocol outlines a method to predict neonatal infection in preterm infants using temperature gradients and heart rate. Early detection via abnormal thermal gradients and heart rate characteristics can improve treatment outcomes.

    Area of Science:

    • Neonatal medicine
    • Clinical informatics
    • Biostatistics

    Background:

    • Neonatal sepsis poses significant risks, leading to morbidity and mortality in preterm infants.
    • There is a critical need for predictive tools to identify neonatal infections early.
    • Abnormal thermal gradients and elevated heart rate characteristic (HRC) scores are potential indicators of infection.

    Purpose of the Study:

    • To present the protocol for the Predictive Analysis Using Temperature and Heart Rate Study.
    • To investigate the utility of thermal gradients and HRC scores in predicting neonatal infection.
    • To compare the efficacy of different models in predicting infection onset.

    Main Methods:

    • Observational trial enrolling 440 very preterm infants.

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  • Continuous monitoring of abdominal and foot temperatures, and hourly HRC scores for 28 days.
  • Analysis of central-peripheral temperature difference (CPtd) and HRC scores against infection data using logistic regression models.

    • Main Results:

    • The study will compare time with abnormal thermal gradients (Model 1) and elevated HRC scores (Model 2) against infection onset.
    • Investigate high CPtd (>2°C) and low CPtd (<0°C) as predictors of infection.
    • Assess the correlation between abnormal HRC scores and abnormal CPtd values.

    Conclusions:

    • Results will inform the development of an interventional study for early infection detection.
    • Temperature and heart rate monitoring can serve as a predictive tool for neonatal infection.
    • This approach aims to alert clinicians to cardiac and autonomic instability associated with infection.