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- Potential predictors like neonatal fever, birth weight, foetal morbidity and gender, cervicovaginitis and maternal age were identified for the early detection of neonatal sepsis.
www.ncbi.nlm.nih.gov › pmc › articlesPrediction modelling in the early detection of neonatal sepsis
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Jan 5, 2022 · Potential predictors like neonatal fever, birth weight, foetal morbidity and gender, cervicovaginitis and maternal age were identified for the early detection of neonatal sepsis.
Nov 2, 2021 · After exposure to bacterial endotoxin, PCT levels rapidly rise within 2–4 h and peak within 6–8 h, thus making it a more sensitive marker than CRP for early diagnosis of...
- Istemi Han Celik, Morcos Hanna, Fuat Emre Canpolat, Fuat Emre Canpolat, Mohan Pammi
- 2021
Oct 29, 2021 · Using the Naïve Bayes algorithm, pathologic heart rate decelerations, increased respiratory instability, and a decrease in spontaneous infant activity (lethargy) in the hours leading up to the...
- Sripriya Sundararajan, Allan Doctor
- 2021
Sep 20, 2022 · Artificial intelligence may have a role in the early detection of sepsis in neonates. Machine learning can identify patterns that predict high or increasing risk for clinical deterioration...
Mar 31, 2024 · Early diagnosis and management of neonatal sepsis: a perspective. Editorial. Published: 31 March 2024. Volume 20 , pages 303–306, ( 2024 ) Cite this article. Download PDF. Li-Zhong Du. 1 Altmetric. Neonatal sepsis is an illness caused by bloodstream bacteria or fungal infections that affect newborn infants under 28 days of age.
Jun 1, 2019 · Early neonatal sepsis is defined as the presence of infection proven by a blood or cerebrospinal fluid (CSF) culture positive for bacteria and fungi, and viruses manifested in the first 72 h of birth [2] in pre-term.
