Promoting Patient Safety: Exploring Device-Associated Healthcare Infections and Antimicrobial Susceptibility Pattern in a Multidisciplinary Intensive Care Units

Abstract

INTRODUCTION Device-associated healthcare infections are among the prevailing threats to patient safety worldwide. They constitute the third most common adverse event during healthcare delivery, resulting in heightened morbidity, mortality, and healthcare costs. Patients in intensive care units (ICUs) are at increased risk for device-associated healthcare infections. Focused active surveillance is a crucial measure for assessing the prevalence of healthcare-associated infections and controlling the transmission of pathogens, ultimately contributing to the establishment of quality outcome indicators. This study aimed to investigate and establish the baseline rates of healthcare-associated infections associated with medical devices in adult multidisciplinary ICUs within a tertiary care institute. MATERIAL AND METHODS  This hospital-based prospective observational study was conducted in two adult ICUs of a tertiary care institute in Central India over nine months. Targeted active surveillance for three device-associated health care infections namely central line-associated bloodstream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), and ventilator-associated event (VAE) was conducted as per the Center for Disease Control (CDC)/National Healthcare Safety Network (NHSN) 2016 surveillance definitions and criteria. Pathogens associated with device-associated healthcare infections were identified and their antimicrobial susceptibility profile was studied. RESULTS  During the study period, a total of 5,773 patient days were investigated. Of 1,270 patients, 28 episodes of device-associated healthcare infections were detected in 26 patients, this suggests a collective occurrence of five device-associated healthcare infections for every 1,000 patient days in the ICUs. The device utilization ratios of the central line, mechanical ventilator, and urinary catheters were 0.33, 0.27, and 0.68, respectively. VAE, CLABSI, and CAUTI rates were 8.92, 5.68, and 0.76 per 1,000 device days, respectively. The most common pathogen isolated from device-associated healthcare infections was Klebsiella pneumoniae (39%) followed by Acinetobacter baumanii (22%). The majority (82.3%) of pathogens were multidrug resistant. The death rate among device-associated healthcare infections was 69.2% with a crude excess mortality rate of 37.7%. CONCLUSION The study sheds light on the proportion, types of device-associated healthcare infections, and underlying etiological agents associated with these infections in our institute's ICUs, thereby facilitating a better understanding of the healthcare-associated infection landscape within our facility. Moreover, the susceptibility pattern of pathogens associated with these infections offers crucial information for guiding the selection of appropriate antimicrobial therapies and infection control measures.