Incidence of Central Line-Associated Bloodstream Infection in a Tertiary Care Hospital in Northern India: A Prospective Study

Background Central line -associated bloodstream infection is the most common hospital -acquired infection and is associated with high morbidity and mortality along with increased healthcare cost. However, studies on the incidence of nosocomial infections are very limited in India. Aims To determine the incidence of central line -associate bloodstream infection (CLABSI), microorganisms associated and their antimicrobial sensitivity profile in the medical ICU of a tertiary care hospital. Material and methods A total of 186 patients who were admitted to the medical ICU and had a non -tunneled central venous catheter (CVC) implanted at admission in the emergency department or in the medical ICU for longer than 48 hours were monitored. By examining the blood culture reports, the patients were monitored every day for the emergence of new -onset sepsis after 48 hours following CVC insertion. The data were evaluated statistically using Microsoft Excel and SPSS version 22.0 (IBM Corp., Armonk, NY, USA). Result Out of 186 catheterized patients, 37 developed CLABSI. The incidence of CLABSI was 9.3 per 1000 catheter days and 6.7 per 1000 inpatient days with a 0.7 device utilization ratio. The most common organism isolated was Acinetobacter species (22%) followed by K. pneumoniae (16%) and E. aerogenes (16%). The highest sensitivity was displayed by polymyxin B (100%) followed by tigecycline (85.48%) and minocycline (50.82%) in Gram-negative organisms. In Gram-positive organisms, the highest sensitivity was observed in S. aureus (100%) for vancomycin, linezolid and teicoplanin whereas Enterococcus species showed linezolid (100%) followed by vancomycin (93.75%) and teicoplanin (93.75%). Conclusion The prevention of CLABSI requires knowledge of the infection rates and of the sources, the pathogens involved as well as their antimicrobial profile. Due to rising antimicrobial resistance, surveillance programs are crucial in establishing the species distribution and resistance patterns of bacteria causing BSIs and thus providing the basis for appropriate empirical therapy.