TY - JOUR
T1 - Device associated infections at a trauma surgical center of India
T2 - Trend over eight years
AU - Mathur, Purva
AU - Khurana, Surbhi
AU - Kumar, Subodh
AU - Gupta, Deepak
AU - Aggrawal, Richa
AU - Soni, Kapil Dev
AU - Goyal, Keshav
AU - Sokhal, Navdeep
AU - Singh, Gyanendra Pal
AU - Bindra, Ashish
AU - Sagar, Sushma
AU - Farooque, Kamran
AU - Sharma, Vijay
AU - Trikha, Vivek
AU - Gupta, Amit
AU - Trikha, Anjan
AU - Malhotra, Rajesh
N1 - Publisher Copyright:
© 2020 Indian Association of Medical Microbiologists
PY - 2021/1
Y1 - 2021/1
N2 - Background: Device-associated infections (DAIs) are an important cause of excessive stay and mortality in ICUs. Trauma patients are predisposed to acquire such infections due to various factors. The prevalence of HAIs is underreported from developing nations due to a lack of systematic surveillance. This study reports the rates and outcomes of DAIs at a dedicated Trauma Center in trauma patients and compares the rates with a previous pilot observation. Methods: The study reports the finding of ongoing surveillance and the use of an indigenous software at a level-1 trauma center in India. Surveillance for ventilator-associated pneumonia, central line-associated bloodstream infections, and catheter-associated urinary tract infections was done based on standard definitions. The rates of HAIs and the profile of pathogens isolated from June 2010 to December 2018 were analyzed. Results: A total of 7485 patients were included in the analysis, amounting to 68,715 patient days. The rates of VAP, CLABSI, and CA-UTI were respectively 12, 9.8 1st 8.5/1000 device days. There was a significant correlation between device days and the propensity to develop infections. Of the 1449 isolates recovered from cases of DAIs, Acinetobacter sp (28.2%) was the most common isolate, followed by Candida sp. A high rate of multi-resistance was observed. Conclusion: Automated surveillance was easy and useful for data entry and analysis. Surveillance data should be used for implementing preventive programs.
AB - Background: Device-associated infections (DAIs) are an important cause of excessive stay and mortality in ICUs. Trauma patients are predisposed to acquire such infections due to various factors. The prevalence of HAIs is underreported from developing nations due to a lack of systematic surveillance. This study reports the rates and outcomes of DAIs at a dedicated Trauma Center in trauma patients and compares the rates with a previous pilot observation. Methods: The study reports the finding of ongoing surveillance and the use of an indigenous software at a level-1 trauma center in India. Surveillance for ventilator-associated pneumonia, central line-associated bloodstream infections, and catheter-associated urinary tract infections was done based on standard definitions. The rates of HAIs and the profile of pathogens isolated from June 2010 to December 2018 were analyzed. Results: A total of 7485 patients were included in the analysis, amounting to 68,715 patient days. The rates of VAP, CLABSI, and CA-UTI were respectively 12, 9.8 1st 8.5/1000 device days. There was a significant correlation between device days and the propensity to develop infections. Of the 1449 isolates recovered from cases of DAIs, Acinetobacter sp (28.2%) was the most common isolate, followed by Candida sp. A high rate of multi-resistance was observed. Conclusion: Automated surveillance was easy and useful for data entry and analysis. Surveillance data should be used for implementing preventive programs.
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U2 - 10.1016/j.ijmmb.2020.10.015
DO - 10.1016/j.ijmmb.2020.10.015
M3 - Article
C2 - 33610250
AN - SCOPUS:85101912144
SN - 0255-0857
VL - 39
SP - 15
EP - 18
JO - Indian Journal of Medical Microbiology
JF - Indian Journal of Medical Microbiology
IS - 1
ER -