A Mathematical Algorithm for Detection of Late-onset Sepsis in Very-low Birth Weight Infants: A Preliminary Diagnostic Test Evaluation.
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Date
2014-08
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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.
Conclusions: RALIS may aid in the early diagnosis of late onset sepsis in very low birth
weight preterm infants.
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Keywords
Algorithm, Neonatal sepsis, Preterm infants, Very low birth weight
Citation
Gur Ilan, Markel Gal, Nave Yaron, Vainshtein Igor, Eisenkraft Arik, Riskin Arieh. A Mathematical Algorithm for Detection of Late-onset Sepsis in Very-low Birth Weight Infants: A Preliminary Diagnostic Test Evaluation. Indian Pediatrics. 2014 Aug; 51(8): 647-650.