2016
DOI: 10.1515/jpm-2015-0362
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Computerized vital signs analysis and late onset infections in extremely low gestational age infants

Abstract: The RALIS algorithm is a sensitive indicator for early detection of infection in preterm infants. Further modifications to improve the specificity of the algorithm are needed prior to application of VS modeling to patient antibiotic treatment decisions.

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Cited by 14 publications
(32 citation statements)
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“…RALIS is a mathematical algorithm developed for monitoring of preterm infants to detect inflammatory response, such as in LOS. As previously described, VS data incorporated into RALIS include: heart rate, respiratory rate, temperature, desaturation events, and bradycardia events (19). The heart rate, respiratory rate, and temperature values are numerical, while the low SpO2 (oxygen saturation) and bradycardic inputs are binary, indicating the presence or absence of events during the preceding 2-3 hour interval.…”
Section: Vital Signs and Ralis Outputmentioning
confidence: 99%
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“…RALIS is a mathematical algorithm developed for monitoring of preterm infants to detect inflammatory response, such as in LOS. As previously described, VS data incorporated into RALIS include: heart rate, respiratory rate, temperature, desaturation events, and bradycardia events (19). The heart rate, respiratory rate, and temperature values are numerical, while the low SpO2 (oxygen saturation) and bradycardic inputs are binary, indicating the presence or absence of events during the preceding 2-3 hour interval.…”
Section: Vital Signs and Ralis Outputmentioning
confidence: 99%
“…The RALIS software was the first to incorporate multiple vital signs monitoring into a predictive algorithm to detect systemic inflammatory responses including LOS (24,25). As we previously reported, RALIS detected sepsis 2.5 days prior to clinician suspicion of infection (defined as the time blood culture was obtained) with a sensitivity of 82% for LOS in infants ≤28 weeks gestational age (GA) (19). However, the PPV and negative predictive value (NPV) were only 67% and 65% respectively.…”
Section: Introductionmentioning
confidence: 99%
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“…There is a study of vertical transmission of cytomegalovirus through breast milk and the means for preventing it [1]. Another offers us an algorithm helpful in early detection of an infection in premature infants, and an effort to prevent its progression [2]. The third describes a drug treatment of emerging retinopathy of prematurity [3].…”
mentioning
confidence: 99%