Prospective surveillance of device-associated health care–associated infection in an intensive care unit of a tertiary care hospital in New Delhi, India

•The study was conducted in an intensive care unit (ICU) of a large tertiary care, government hospital.•Results can be useful for comparisons across other hospitals of similar backgrounds.•Criteria of a ventilator-associated event instead of ventilator-associated pneumonia were used.•Surveillance sh...

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Published in:American journal of infection control Vol. 46; no. 2; pp. 202 - 206
Main Authors: Kumar, Shilpee, Sen, Poornima, Gaind, Rajni, Verma, Pardeep Kumar, Gupta, Poonam, Suri, Prem Rose, Nagpal, Sunita, Rai, Anil Kumar
Format: Journal Article
Language:English
Published: United States Elsevier Inc 01-02-2018
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Summary:•The study was conducted in an intensive care unit (ICU) of a large tertiary care, government hospital.•Results can be useful for comparisons across other hospitals of similar backgrounds.•Criteria of a ventilator-associated event instead of ventilator-associated pneumonia were used.•Surveillance showed high rates of ICU-onset device-associated health care–associated infections (DA-HAIs): ventilator-associated event, central line–associated bloodstream infection, and catheter-associated urinary tract infection.•The organisms causing DA-HAIs were predominantly multidrug resistant, leaving no option but to use colistin as empirical therapy. Surveillance of health care–associated infections (HAIs) plays a key role in the hospital infection control program and reduction of HAIs. In India, most of the surveillance of HAIs is reported from private sector hospitals that do not depict the situation of government sector hospitals. Other studies do not confirm with the Centers for Disease Control and Prevention's (CDC) National Healthcare Safety Network (NHSN) surveillance criterion, or deal with ventilator-associated pneumonia (VAP) instead of ventilator-associated event (VAE). The aim of this study was to identify the incidences of 3 device-associated HAIs (DA-HAIs) (VAE, central line–associated bloodstream infection [CLABSI], and catheter-associated urinary tract infection [CAUTI]) by active surveillance using CDC's NHSN surveillance criteria and to identify the pathogens associated with these DA-HAIs. This was a prospective surveillance study (January 2015-December 2016) conducted in an intensive care unit (ICU) of a large, tertiary care, government hospital situated in Delhi, India. Targeted surveillance was done as per the CDC's NHSN 2016 surveillance criteria. There were 343 patients admitted to the ICU that were included in the study. The surveillance data was reported over 3,755 patient days. A DA-HAIs attack rate of 20.1 per 100 admissions and incidence of 18.3 per 1,000 patient days was observed. The duration of use for each device for patients with DA-HAIs was significantly longer than for patients without DA-HAIs. The device utilization ratios of central line, ventilator, and urinary catheters were 0.57, 0.85, and 0.72, respectively. The crude excess length of stay for patients with DA-HAI was 13 days, and crude excess mortality rate was 11.8%. VAE, CLABSI, and CAUTI rates were 11.8, 7.4, and 9.7 per 1,000 device days, respectively. Among 69 DA-HAIs reported, pathogens could be identified for 49 DA-HAI cases. Klebsiella spp was the most common organism isolated, accounting 28.5% for all DA-HAI cases, followed by Enterococcus spp (24.4%). The most common organisms causing VAE, CAUTI, and CLABSI were Acinetobacter (6/15, 40%), Enterococcus spp (11/31, 35.4%), and Candida spp (5/19, 26.3%), respectively. Most of the gram-negative organisms were carbapenem resistant; however, none of the isolates were colistin resistant. To reduce the risk of infection in hospitalized patients, DA-HAI surveillance is of primary importance because it effectively describes and addresses the importance and characteristics of the threatening situation created by DA-HAIs. The present surveillance shows high rates of ICU-onset DA-HAIs and high resistance patterns of organisms causing HAIs, representing a major risk to patient safety.
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ISSN:0196-6553
1527-3296
DOI:10.1016/j.ajic.2017.08.037