Literature DB >> 1928164

Comparison of rates of nosocomial infections in neonatal intensive care units in the United States. National Nosocomial Infections Surveillance System.

R P Gaynes1, W J Martone, D H Culver, T G Emori, T C Horan, S N Banerjee, J R Edwards, W R Jarvis, J S Tolson, T S Henderson.   

Abstract

To determine nosocomial infection (NI) rates among neonatal intensive care units (NICUs) that are useful for interhospital comparison, we analyzed data reported in 1986-1990 from 35 hospitals that have level III NICUs and used standard National Nosocomial Infections Surveillance protocols and NI site definitions. Overall rates of NI were calculated as the number of NI per 100 patients (overall NI patient rates) or the number of NI per 1,000 NICU patient-days (overall NI patient-day rates). A strong positive association was found between overall NI patient rates and the neonates' average length of stay, a marker for duration of exposure to important risk factors. No correlation was found between overall NI patient-day rates and average length of stay. However, a strong positive correlation between overall NI patient-day rates and a measure of device utilization (total device-days/total patient-days x 100) was found. Additionally, a positive correlation between overall NI patient rates and device utilization was found. Stratification among the three birthweight groups (less than 1,500 g, 1,500-2,500 g, greater than 2,500 g) did not eliminate the need to control for variations in these factors among NICUs. Device-associated, device-day infection rates, calculated as the number of umbilical or central line-associated blood-stream infections per 1,000 umbilical or central line-days and the number of ventilator-associated pneumonias per 1,000 ventilator days, were not correlated with a unit's site-specific device utilization. These data suggest that calculation of device-associated NI rates in NICUs using device-days as the denominator helps to control for the duration of exposure to the primary risk factor and will be more meaningful for purposes of interhospital comparison.

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Year:  1991        PMID: 1928164     DOI: 10.1016/0002-9343(91)90368-8

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  13 in total

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Review 2.  Drug utilisation in preterm and term neonates.

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Authors:  M L Moro; A De Toni; I Stolfi; M P Carrieri; M Braga; C Zunin
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Review 5.  An overview of nosocomial infections, including the role of the microbiology laboratory.

Authors:  T G Emori; R P Gaynes
Journal:  Clin Microbiol Rev       Date:  1993-10       Impact factor: 26.132

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Authors:  P D Reiter; K Novak; R J Valuck; A A Rosenberg; D Fish
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7.  Predicting neonatal sepsis in ventilated neonates.

Authors:  Abdulkadir Bozaykut; Ilke Ozahi Ipek; Beltinge Demircioglu Kilic
Journal:  Indian J Pediatr       Date:  2008-01       Impact factor: 1.967

8.  Nurse staffing, burnout, and health care-associated infection.

Authors:  Jeannie P Cimiotti; Linda H Aiken; Douglas M Sloane; Evan S Wu
Journal:  Am J Infect Control       Date:  2012-08       Impact factor: 2.918

Review 9.  Infection control and changing health-care delivery systems.

Authors:  W R Jarvis
Journal:  Emerg Infect Dis       Date:  2001 Mar-Apr       Impact factor: 6.883

10.  Incidence of maternal GBS colonization and neonatal GBS disease among very low birth weight Polish neonates.

Authors:  Monika Brzychczy-Wloch; Jadwiga Wojkowska-Mach; Ewa Helwich; Piotr B Heczko
Journal:  Med Sci Monit       Date:  2013-01-11
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