Scoring model to predict early-onset bacterial sepsis at Dr. Mohammad Hoesin Hospital, Palembang
Background Early-onset bacterial neonatal sepsis (bacterial EONS) is one of the most common causes of death and illness in newborns. Assessment of risk factors is important to identify infants who are more susceptible to bacterial EONS. A scoring model based on maternal and infant risk factors would...
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Veröffentlicht in: | Paediatrica Indonesiana 2023-01, Vol.63 (1), p.29-36 |
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Sprache: | eng |
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Zusammenfassung: | Background Early-onset bacterial neonatal sepsis (bacterial EONS) is one of the most common causes of death and illness in newborns. Assessment of risk factors is important to identify infants who are more susceptible to bacterial EONS. A scoring model based on maternal and infant risk factors would be useful for predicting bacterial EONS.
Objective To develop a scoring model to predict bacterial EONS by examining maternal and neonatal risk factors.
Methods This diagnostic test study was conducted at Mohammad Hoesin Hospital, Palembang between January-September 2021 using various maternal and infant risk factors. Subjects were newborns suspected of having early-onset bacterial sepsis with birth weight >1000 grams. The potential risk factors evaluated consisted of premature rupture of membranes >18 hours, greenish-thick-and-foul-smelling amniotic fluid, maternal body temperature >38°C, maternal leukocytosis >15.000/?L, gestational of |
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ISSN: | 0030-9311 2338-476X |
DOI: | 10.14238/pi63.1.2023.29-36 |