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Dynamics and complexity of body temperature in preterm infants nursed in incubators

Author

Listed:
  • Kerstin Jost
  • Isabelle Pramana
  • Edgar Delgado-Eckert
  • Nitin Kumar
  • Alexandre N Datta
  • Urs Frey
  • Sven M Schulzke

Abstract

Background: Poor control of body temperature is associated with mortality and major morbidity in preterm infants. We aimed to quantify its dynamics and complexity to evaluate whether indices from fluctuation analyses of temperature time series obtained within the first five days of life are associated with gestational age (GA) and body size at birth, and presence and severity of typical comorbidities of preterm birth. Methods: We recorded 3h-time series of body temperature using a skin electrode in incubator-nursed preterm infants. We calculated mean and coefficient of variation of body temperature, scaling exponent alpha (Talpha) derived from detrended fluctuation analysis, and sample entropy (TSampEn) of temperature fluctuations. Data were analysed by multilevel multivariable linear regression. Results: Data of satisfactory technical quality were obtained from 285/357 measurements (80%) in 73/90 infants (81%) with a mean (range) GA of 30.1 (24.0–34.0) weeks. We found a positive association of Talpha with increasing levels of respiratory support after adjusting for GA and birth weight z-score (p

Suggested Citation

  • Kerstin Jost & Isabelle Pramana & Edgar Delgado-Eckert & Nitin Kumar & Alexandre N Datta & Urs Frey & Sven M Schulzke, 2017. "Dynamics and complexity of body temperature in preterm infants nursed in incubators," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-15, April.
    • Handle: RePEc:plo:pone00:0176670
    DOI: 10.1371/journal.pone.0176670
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    References listed on IDEAS

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    1. Georgette Stern & Julia Beel & Béla Suki & Mike Silverman & Jenny Westaway & Mateja Cernelc & David Baldwin & Urs Frey, 2009. "Long-Range Correlations in Rectal Temperature Fluctuations of Healthy Infants during Maturation," PLOS ONE, Public Library of Science, vol. 4(7), pages 1-9, July.
    2. Zeileis, Achim & Grothendieck, Gabor, 2005. "zoo: S3 Infrastructure for Regular and Irregular Time Series," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 14(i06).
    3. Urs Frey & Tanja Brodbeck & Arnab Majumdar & D. Robin Taylor & G. Ian Town & Michael Silverman & Béla Suki, 2005. "Risk of severe asthma episodes predicted from fluctuation analysis of airway function," Nature, Nature, vol. 438(7068), pages 667-670, December.
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