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This article is part of the supplement: International Conference on Prevention & Infection Control (ICPIC 2011)

Open Access Oral presentation

Device associated nosocomial infections in a medical intensive care unit of a tertiary care hospital in Jaipur, India

S Sood1*, SH Joad2, D Yaduvanshi3 and P Anand2

  • * Corresponding author: S Sood

Author Affiliations

1 Super Religare Laboratories, Fortis Escorts Hospital, Jaipur, India

2 Critical Care Medicine, Fortis Escorts Hospital, Jaipur, India

3 Pulmonary Medicine, Fortis Escorts Hospital, Jaipur, India

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BMC Proceedings 2011, 5(Suppl 6):O16  doi:10.1186/1753-6561-5-S6-O16

The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1753-6561/5/S6/O16


Published:29 June 2011

© 2011 Sood et al; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Introduction / objectives

Intensive care units (ICUs) are unfortunately the epicenters of nosocomial infections. Limited data is available regarding burden of healthcare associated infections (HAIs) in Indian ICUs, especially the rates of device associated infections by using standardized definitions.

Methods

We conducted a prospective surveillance of device associated infections from January 2010-December 2010 in a 10 beded Medical ICU of Fortis Escorts Hospital, Jaipur. CDC-NNIS system definitions for all device associated infections were used and rates were calculated per 1000 device days. Device utilization ratio was calculated by dividing the total number of specific device days by the total number of patient days. Microbiological profile of each HAI was noted.

Results

435 patients were admitted in the Medical ICU representing 3080 patient days. The overall DANI (device associated nosocomial infection) rate was 4.36% (19/435) or 6.16 (19/3080) DAI per 1000 ICU days. The overall VAP rate was 8.9 infections per 1000 ventilator days, CLABSI rate was 2.74 infections per 1000 central day and CAUTI rate was 1.50 infections per 1000 catheter days. Device utilization ratio for central line, ventilator and urinary catheter was 0.59, 0.36 and 0.86 respectively. Non fermenters Gram negative bacteria accounted for 73.68% infections followed by Enterobacteriaceae (21.05%). The most common bacteria were Acinetobacter baumannii (26.31% of total) and Pseudomonas aeruginosa and Klebseilla pneumoniae (10.52% of total each).

Conclusion

Targeted surveillance and calculation of device associated infection rates per 1000 device days allows detection of unique institutional problems that need redress.

Disclosure of interest

None declared.