Epidemiology of Necrotizing Enterocolitis Temporal Clustering in Two Neonatology Practices

• Published in: The Journal of pediatrics 2009-05, Vol.154 (5), p.656-661.e2
• Main Authors: Meinzen-Derr, Jareen, PhD, Morrow, Ardythe L., PhD, Hornung, Richard W., DrPH, Donovan, Edward F., MD, Dietrich, Kim N., PhD, Succop, Paul A., PhD
• Format: Article
• Language: English
• Subjects: Biological and medical sciences; Disease Outbreaks - statistics & numerical data; Enterocolitis, Necrotizing - epidemiology; Epidemiology; General aspects; Humans; Incidence; Infant, Newborn; Infant, Newborn, Diseases - epidemiology; Infant, Very Low Birth Weight; Intensive Care Units, Neonatal; Medical sciences; Miscellaneous; Ohio - epidemiology; Pediatrics; Public health. Hygiene; Public health. Hygiene-occupational medicine; Retrospective Studies; Seasons
• ISSN: 0022-3476; 1097-6833
• DOI: 10.1016/j.jpeds.2008.11.002

Objective To develop a statistical method for defining clusters of necrotizing enterocolitis (NEC) cases in the neonatal intensive care unit (NICU). Study design The study group included 2782 infants weighing 401 to 1500 g at birth born between 1996 and 2004. NEC was defined as Bell stage II or III. Two statistical methods were used to define “disease clusters”: a modified scan test and a comparison of observed and expected incidence density rates (IDRs) of NEC at each NICU. Results The proportion of infants with NEC was similar in the 2 NICUs (7.1% vs 7.7%; P = .6), as was the expected IDR of NEC (1.39/1000 patient-days vs 1.32/1000 patient-days; P = .72). Twelve temporal clusters of NEC were identified in the 2 NICUs, representing 18% of 203 total NEC cases during the study period. No seasonal/secular trends were noted for NEC rates or identified clusters. Potential NEC clusters of ≥3 cases at either NICU had a >75% likelihood of being a true NEC cluster. Conclusions No operational definition of NEC cluster exists. This study introduces methods to use in prospective surveillance and to guide studies investigating etiologic relevance. Using the proposed methods, statistically significant clusters (ie, potential outbreaks) of NEC within NICUs can be identified early, providing an opportunity for early implementation of cluster investigation protocols.