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- Title
Neonatal sepsis in a rapidly growing, tertiary neonatal intensive care unit: Trends over 18 years.
- Authors
Heo, Ju Sun; Shin, Seung Han; Jung, Young Hwa; Kim, Ee‐Kyung; Choi, Eun Hwa; Kim, Han‐Suk; Lee, Hoan Jong; Choi, Jung‐Hwan
- Abstract
Background We investigated changes in the admission patterns of neonatal intensive care units and the epidemiology of neonatal sepsis following the rapid expansion and improvements in neonatal intensive care. Methods Data on the admission of neonates with culture-proven sepsis between 1996 and 2013 (period I, 1996-2005; period II, 2006-2013) were collected retrospectively. Results The admission of extremely low-birthweight (ELBW) infants increased between periods I and II (11.1 vs 28.7 infants per 1000 live births, P < 0.001). The survival rate of the ELBW infants improved (57.5 vs 80.1%, P < 0.001), and duration of hospital stay increased (median, 64 vs 80 days, P = 0.001). The incidence of sepsis among all infants and ELBW infants increased (all infants, 5.9 vs 12.7 cases per 1000 live births; ELBW infants, 189.5 vs 290.1 cases per 1000 live births). In ELBW infants, the incidence of sepsis caused by coagulase-negative Staphylococcus (CONS), significantly increased during period II (8.8 vs 25.4%, P = 0.039). On multivariate analysis, central vascular catheters and prolonged hospitalization were independently associated with increased sepsis rate, particularly CONS in ELBW infants. Conclusions The inborn admission rate for ELBW infants has increased significantly and is accompanied by improved survival and longer hospital stay. The incidence of neonatal sepsis, particularly in ELBW infants, has also increased, and CONS has emerged as a major pathogen. Central vascular catheters and prolonged hospitalization could be independent risk factors for the increased sepsis rate, particularly sepsis due to CONS.
- Subjects
KOREA; ACADEMIC medical centers; LOW birth weight; STATISTICAL correlation; FISHER exact test; MULTIVARIATE analysis; NEONATAL intensive care; SURVIVAL; T-test (Statistics); NEONATAL intensive care units; DATA analysis software
- Publication
Pediatrics International, 2015, Vol 57, Issue 5, p909
- ISSN
1328-8067
- Publication type
Article
- DOI
10.1111/ped.12654