Risk-adjusted comparisons of bloodstream infection rates in neonatal intensive-care units

Clinical Microbiology and Infection

Volumn 18, Issue 12, 2012, Pages 1206-1211

  Leighton, P ^a   Cortina Borja, M ^a   Millar, M ^b   Kempley, S ^c   Gilbert, R ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b BARTS HEALTH NHS TRUST   (United Kingdom)

^c QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Bacteraemia; Bloodstream infection; Monitoring; Neonatal intensive care; Risk adjustment; Surveillance

Indexed keywords

ARTICLE; BIRTH WEIGHT; BLOODSTREAM INFECTION; COHORT ANALYSIS; COMPARATIVE STUDY; CONTROLLED STUDY; FEMALE; HUMAN; INFANT; INFECTION RISK; MAJOR CLINICAL STUDY; MALE; MEDICAL RECORD REVIEW; NATIONAL HEALTH SERVICE; NEWBORN CARE; NEWBORN INTENSIVE CARE; PARENTERAL NUTRITION; POISSON DISTRIBUTION; PRIORITY JOURNAL; RISK ASSESSMENT;

EID: 84863741949     PISSN: 1198743X     EISSN: 14690691     Source Type: Journal    
DOI: 10.1111/j.1469-0691.2011.03733.x     Document Type: Article

References (25)

1. Parry GJ, Tucker JS, Tarnow-Mordi WO. Relationship between probable nosocomial bacteraemia and organisational and structural factors in UK neonatal intensive care units. Qual Saf Health Care 2005; 14: 264-269.
2. Stoll BJ, Hansen NI, Adams-Chapman I et al. Neurodevelopmental and growth impairment among extremely low-birth-weight infants with neonatal infection. JAMA 2004; 292: 2357-2365.
3. Kilbride HW, Powers R, Wirtschafter DD et al. Evaluation and development of potentially better practices to prevent neonatal nosocomial bacteremia. Pediatrics 2003; 111: e504-e518.
4. Kilbride HW, Wirtschafter DD, Powers RJ, Sheehan MB. Implementation of evidence-based potentially better practices to decrease nosocomial infections. Pediatrics 2003; 111: e519-e533.
5. Couto RC, Pedrosa TM, Tofani CP, Pedroso ER. Risk factors for nosocomial infection in a neonatal intensive care unit. Infect Control Hosp Epidemiol 2006; 27: 571-575.
6. Phillips P, Cortina-Borja M, Millar M, Gilbert R. Risk-adjusted surveillance of hospital-acquired infections in neonatal intensive care units: a systematic review. J Hosp Infect 2008; 70: 203-211.
7. Carrieri MP, Stolfi I, Moro ML. Intercenter variability and time of onset: two crucial issues in the analysis of risk factors for nosocomial sepsis. Pediatr Infect Dis J 2003; 22: 599-609.
8. Stover BH, Shulman ST, Bratcher DF et al. Nosocomial infection rates in US children's hospitals' neonatal and pediatric intensive care units. Am J Infect Control 2001; 29: 152-157.
9. Stoll BJ, Hansen N, Fanaroff AA et al. Late-onset sepsis in very low birth weight neonates: the experience of the NICHD Neonatal Research Network. Pediatrics 2002; 110: 285-291.
10. McLachlan G, Peel D. Finite mixture models. New York: Wiley, 2003.
11. Grün B, Leisch F. Flexmix version 2: finite mixtures with concomitant variables and varying and constant parameters. J Stat Softw 2008; 28: 1-35.
12. Schwarz G. Estimating the dimension of a model. Ann Stat 1978; 6: 461-464.
13. Medical Research Council. lmsgrowth program version 2.6. London: MRC, 2008.
14. Cole TJ, Freeman JV, Preece MA. British 1990 growth reference centiles for weight, height, body mass index and head circumference fitted by maximum penalized likelihood. Stat Med 1998; 17: 407-429.
15. British Association of Perinatal Medicine. Standards for hospitals providing neonatal intensive and high dependency care (second edition) and categories of babies requiring neonatal care. London: British Association of Perinatal Medicine, 2001.
16. Holmes A, Dore CJ, Saraswatula A et al. Risk factors and recommendations for rate stratification for surveillance of neonatal healthcare-associated bloodstream infection. J Hosp Infect 2008; 68: 66-72.
17. Marcoulides GA, Hershberger SL. Multivariate statistical methods: a first course. Mahwah, NJ: Lawrence Erlbaum Associates, 1997.
18. Pan W. Akaike's information criterion in generalized estimating equations. Biometrics 2001; 57: 120-125.
19. Brodie SB, Sands KE, Gray JE et al. Occurrence of nosocomial bloodstream infections in six neonatal intensive care units. Pediatr Infect Dis J 2000; 19: 56-65.
20. R Development Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing, 2008.
21. StataCorp. Stata statistical software: release 10. College Station, TX: StataCorp LP, 2007.
22. Lee SK, McMillan DD, Ohlsson A et al. Variations in practice and outcomes in the Canadian NICU network: 1996-1997. Pediatrics 2000; 106: 1070-1079.
23. de Irala-Estévez J, Martínez-Concha D, Díaz-Molina C, Masa-Calles J, Serrano del Castillo A, Fernández-Crehuet Navajas R. Comparison of different methodological approaches to identify risk factors of nosocomial infection in intensive care units. Intensive Care Med 2001; 27: 1254-1262.
24. Huang SY, Tang RB, Chen SJ, Chung RL. Coagulase-negative staphylococcal bacteremia in critically ill children: risk factors and antimicrobial susceptibility. J Microbiol Immunol Infect 2003; 36: 51-55.
25. National Audit Office. Caring for vulnerable babies: the reorganisation of neonatal services in England. Report No. HC 101 Session 2007-2008. London: National Audit Office, 2007.