Literature DB >> 25128999

A mathematical algorithm for detection of late-onset sepsis in very-low birth weight infants: a preliminary diagnostic test evaluation.

Ilan Gur1, Gal Markel, Yaron Nave, Igor Vainshtein, Arik Eisenkraft, Arieh Riskin.   

Abstract

OBJECTIVE: To study the diagnostic ability of RALIS (computerized mathematical algorithm and continuous monitoring device) to detect late onset sepsis among very low birth weight preterm neonates.
METHODS: Randomly chosen 24 very low birth weight infants with proven sepsis were compared to 22 infants without sepsis. The clinical parameters were retrospectively collected from the medical records. The ability of RALIS to detect late onset sepsis was calculated.
RESULTS: RALIS positively identified 23 of the 24 infants with sepsis (sensitivity 95.8%). It indicated sepsis alert median 2.0 days earlier than clinical suspicion. A false positive alert was indicated in 23% (5/22) infants. The specificity, and positive and negative predictive ability of RALIS were 77.3%. 82.1% and 94.4%, respectively.
CONCLUSION: RALIS may aid in the early diagnosis of late onset sepsis in very low birth weight preterm infants.

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Year:  2014        PMID: 25128999     DOI: 10.1007/s13312-014-0469-x

Source DB:  PubMed          Journal:  Indian Pediatr        ISSN: 0019-6061            Impact factor:   1.411


  4 in total

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

Authors:  Leena B Mithal; Ram Yogev; Hannah L Palac; Daniel Kaminsky; Ilan Gur; Karen K Mestan
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Review 3.  Artificial and human intelligence for early identification of neonatal sepsis.

Authors:  Brynne A Sullivan; Sherry L Kausch; Karen D Fairchild
Journal:  Pediatr Res       Date:  2022-09-20       Impact factor: 3.953

4.  Diagnosis of Neonatal Late-Onset Infection in Very Preterm Infant: Inter-Observer Agreement and International Classifications.

Authors:  Gaelle Bury; Stéphanie Leroux; Cristhyne Leon Borrego; Christèle Gras Leguen; Delphine Mitanchez; Geraldine Gascoin; Aurore Thollot; Jean Michel Roué; Guy Carrault; Patrick Pladys; Alain Beuchée
Journal:  Int J Environ Res Public Health       Date:  2021-01-20       Impact factor: 3.390

  4 in total

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