Clinical algorithms for the identification of sick newborns in community‐based settings

Abstract

We concluded that further work is urgently needed to develop a clinical algorithm for widespread validation in various community-based settings, which focuses specifically on newborns <7 days at risk of early neonatal mortality.

Lactate dehydrogenase as an indicator of severe illness in neonatal intensive care patients: a longitudinal cohort study

“…However, as stated in the introduction, to rely only on clinical algorithms for early detection of serious disease during the first week of life doesnot seem optimal from the careful review by Kamath Rayne et al. (10). An inexpensive laboratory tests at the point‐of‐care early signalling upcoming disease could be a valuable support in the decision making.…”

“…Competence in assessing the status of the newborn baby is often low in places where babies are born in developing countries and staff education is of essential importance (9,19). However, as stated in the introduction, to rely only on clinical algorithms for early detection of serious disease during the first week of life doesnot seem optimal from the careful review by Kamath Rayne et al (10). An inexpensive laboratory tests at the point-of-care early signalling upcoming disease could be a valuable support in the decision making.…”

“…the period of highest morbidity and mortality, is limited. Furthermore, they often consist of many items and donot cover all relevant diseases (10). Therefore, we hypothesise that LDH, an early biomarker of true cellular compromise in one or multiple tissues and less disease specific will provide additional information also for early detection of serious illness in the neonatal patient.…”

Maternal and Neonatal Directed Assessment of Technologies (MANDATE): Methods and Assumptions for a Predictive Model for Maternal, Fetal, and Neonatal Mortality Interventions

“…These scenarios were validated by experts in the field of maternal, fetal, and neonatal mortality in LMICs. 9 – 11 , 19 – 21 …”

“…It is a web-based decision-support tool ( www.mnhtehc.org ) that compares the relative effect of different maternal, fetal, and neonatal interventions and provides insights on potential bottlenecks that might prevent an intervention from saving the maximum number of maternal, fetal, and neonatal lives. 9 – 11 Researchers, universities, technology developers, and ministries of health could potentially use MANDATE as a tool for developing and optimizing their maternal, fetal, and neonatal interventions.…”