Neonatal sepsis prediction through clinical decision support algorithms: A systematic review-Reference-Cited by-同舟云学术

Neonatal sepsis prediction through clinical decision support algorithms: A systematic review

Published:2021-09-12 Issue:12 Volume:110 Page:3201-3226
ISSN:0803-5253
Container-title:Acta Paediatrica
language:en
Short-container-title:Acta Paediatr

Author:

Persad Emma¹²³⁴^ORCID,Jost Kerstin¹²,Honoré Antoine¹²⁵,Forsberg David¹²^ORCID,Coste Karen¹⁶^ORCID,Olsson Hanna¹,Rautiainen Susanne¹²⁷^ORCID,Herlenius Eric¹²^ORCID

Affiliation:

1. Department of Women's & Children’s Health Karolinska Institutet Stockholm Sweden

2. Astrid Lindgren Children’s HospitalKarolinska University Hospital Stockholm Sweden

3. Karl Landsteiner University of Health Sciences Krems Austria

4. Department of Evidence‐based Medicine and Evaluation Danube University Krems Krems Austria

5. Division of Information Science and Engineering KTH Royal Institute of Technology Stockholm Sweden

6. CNRS INSERM GReD Université Clermont Auvergne Clermont‐Ferrand France

7. Department of Global Public Health Karolinska Institutet Stockholm Sweden

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Hjärnfonden

Vetenskapsrådet

Hjärt-Lungfonden

Stiftelsen Frimurare Barnhuset i Stockholm

Publisher

Wiley

Subject

General Medicine,Pediatrics, Perinatology, and Child Health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/apa.16083

Reference62 articles.

1. The global burden of paediatric and neonatal sepsis: a systematic review

2. Prostaglandin E2 Mediates Cardiorespiratory Disturbances during Infection in Neonates

3. CO2-evoked release of PGE2 modulates sighs and inspiration as demonstrated in brainstem organotypic culture

4. The induced prostaglandin E2 pathway is a key regulator of the respiratory response to infection and hypoxia in neonates

5. Vital signs analysis algorithm detects inflammatory response in premature infants with late onset sepsis and necrotizing enterocolitis

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