Explore chapters and articles related to this topic
Use of C-Reactive Protein (CRP) and haematological score to predict positive blood cultures in sepsis
Published in Cut Adeya Adella, Stem Cell Oncology, 2018
I.N.D. Lubis, D.E.F. Liestiadi, E. Azlin, S. Nafianti
The definitive diagnosis of neonatal sepsis is made by isolating the causative pathogens, commonly from blood cultures (Gotoff, 2002). Nevertheless, bacterial growth in culture requires time and it is not always possible to isolate the causative agents (Shane & Stoll, 2014). Other commonly used diagnostic tests include total and differential White Blood Cell (WBC) count, absolute and immature neutrophil counts, the ratio of Immature-to-Total neutrophils (IT ratio), Procalcitonin (PCT) and C-Reactive Protein (CRP) (Shane et al., 2017; Stocker et al., 2010; Canpolat et al., 2011). However, the availability of some of these tests is often limited to central hospitals. Another approach is to use a Haematological Scoring System (HSS), developed to facilitate the diagnosis of neonatal sepsis (Shane et al., 2017).
Two Cu(II)-based coordination polymers constructed from the pyridyl-carboxylate ligands: structural diversity and treatment activity on neonatal sepsis by reducing the over inflammatory response
Published in Inorganic and Nano-Metal Chemistry, 2020
Zhuo-Chao Lv, Wen-Xiao Zhang, Hong-Yan Zhao
Neonatal sepsis is the major cause of substantial morbidity and mortality in clinic, and the incidence of sepsis in hospitalized neonates was 25 about 5% in China, showed in a recent epidemiological survey.[1] Neonatal sepsis means the invading of the pathogen, especially the bacteria, into the circulation of newborns blood, and finally causing the uncontrolled inflammatory response in the whole body.[2] In hospitalized neonates, there was usually an immunological immaturity, which leading to an impaired response to infectious agents. Although the progressed technology for the diagnosis of neonatal sepsis made it possible for the sepsis laboratory tests and treatments, there is still a high incidence and mortality of sepsis in newborns.[3] Thus, we need to development new candidates for the neonatal sepsis treatment.
Deep learning approach on tabular data to predict early-onset neonatal sepsis
Published in Journal of Information and Telecommunication, 2021
Redwan Hasif Alvi, Md. Habibur Rahman, Adib Al Shaeed Khan, Rashedur M. Rahman
Neonatal sepsis is a form of blood infection that affects neonates under 28 days of age. Neonatal sepsis is classified into two classes: early-onset sepsis (EOS) and late-onset sepsis (LOS). Early-onset sepsis corresponds to infants at or before 72 h or birth, while late-onset sepsis corresponds to infants affected by neonatal sepsis after the 72 h mark (Singh et al., 2020). Specifically, it is related to the occurrence of bacterial bloodstream infection (BSI) in a newborn baby (such as pyelonephritis, meningitis, gastroenteritis, or pneumonia) in fever environment.