Ramesh K. Agarwal

A machine learning model for prediction of early-onset neonatal sepsis in low-income and middle-income countries: development and validation study

Deepika Kainth, Ayushi Gupta, Pradeep Singh, Satya Prakash et autres

OBJECTIVE: Early-onset sepsis (EOS), which occurs within the first 72 hours of life, can often be fatal for neonates. Machine learning (ML) models demonstrate promise for timely diagnosis. However, current ML models primarily rely on data from high-income countries, which reduces their …

in (code pays fourni par la source)

Visual assessment of bilirubin and transcutaneous bilirubinometry in detecting rebound hyperbilirubinemia requiring phototherapy re-initiation in neonates: a prospective diagnostic accuracy study

Priyanka Singh, Satya Prakash, Ankit Verma, Anu Thukral et autres

in (code pays fourni par la source)

Distribution of capsule and O types in Klebsiella pneumoniae causing neonatal sepsis in Africa and South Asia: A meta-analysis of genome-predicted serotype prevalence to inform potential vaccine coverage

Thomas D. Stanton, Shaun P Keegan, Jabir A. Abdulahi, Anne V. Amulele et autres

BACKGROUND: Klebsiella pneumoniae causes ~20% of sepsis in neonates, with ~40% crude mortality. A vaccine administered to pregnant women, protecting against ≥70% of K. pneumoniae infections, could avert ~400,000 cases and ~80,000 deaths annually, mostly in Africa and South Asia. Vaccine formulations …

au, gb, Kenya, bd, us, in, pk, Afrique du Sud, Zambie, Tanzanie, Botswana, Malawi, Nigéria, Rwanda, it, Éthiopie, dk, ie, Ghana (code pays fourni par la source)