Vital sign metrics of VLBW infants in three NICUs: implications for predictive algorithms-Reference-Cited by-同舟云学术

Vital sign metrics of VLBW infants in three NICUs: implications for predictive algorithms

Published:2021-03-25 Issue:1 Volume:90 Page:125-130
ISSN:0031-3998
Container-title:Pediatric Research
language:en
Short-container-title:Pediatr Res

Author:

Zimmet Amanda M.,Sullivan Brynne A.,Fairchild Karen D.,Moorman J. Randall,Isler Joseph R.,Wallman-Stokes Aaron W.,Sahni Rakesh,Vesoulis Zachary A.,Ratcliffe Sarah J.,Lake Douglas E.

Publisher

Springer Science and Business Media LLC

Subject

Pediatrics, Perinatology and Child Health

Link

https://www.nature.com/articles/s41390-021-01428-3.pdf

Reference32 articles.

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2. Joshi, R. et al. Predicting neonatal sepsis using features of heart rate variability, respiratory characteristics, and ECG-derived estimates of infant motion. IEEE J. Biomed. Heal. Inform. 24, 681–692 (2020).

3. Dewhurst, C. J., Cooke, R. W. I. & Turner, M. A. Clinician observation of physiological trend monitoring to identify late-onset sepsis in preterm infants. Acta Paediatr. Int. J. Paediatr. 97, 1187–1191 (2008).

4. Mithal, L. B. et al. Vital signs analysis algorithm detects inflammatory response in premature infants with late onset sepsis and necrotizing enterocolitis. Early Hum. Dev. 117, 83–89 (2018).

5. Sullivan, B. A. & Fairchild, K. D. Predictive monitoring for sepsis and necrotizing enterocolitis to prevent shock. Semin. Fetal Neonatal Med. 20, 255–261 (2015).

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