Bloodstream infections and trends of antimicrobial sensitivity patterns at Port Blair

Autor: Abhay Kumar, Agnijeet Palit, Amit Banik, Kandregula Snehaa, Sanjeev Hosdurg Bhat
Rok vydání: 2018
Předmět:
Zdroj: Journal of Laboratory Physicians, Vol 10, Iss 03, Pp 332-337 (2018)
Journal of Laboratory Physicians
ISSN: 0974-7826
0974-2727
DOI: 10.4103/jlp.jlp_50_18
Popis: PURPOSE: Bloodstream infection can range from inapparent bacteremia until fulminant septic shock with high mortality. Microorganisms present in circulating blood whether continuously, intermittently, or transiently are a threat to every organ in the body. Culture of blood is a vital tool to diagnose such infections. Drug susceptibility patterns help in rationalizing therapy. OBJECTIVE: The objective of this study was to perform bacteriological analysis and assess drug sensitivity patterns of isolates from blood stream infections. DESIGN: Retrospective observational study was conducted from May 2015 to February 2017 at a tertiary care hospital, Port Blair, India. Blood samples were collected with aseptic guidelines and cultured for 7 days. Growths were identified using standard biochemical tests and subjected to sensitivity testing according to Modified Kirby–Bauer’s disk diffusion method. Data for the source of blood collection and duration of incubation were noted and compared. RESULTS: A total of 270 (14.24%) pathogens were isolated from 1895 bacteremia suspect patient blood specimens. Contamination was observed at a rate of 1.63%. Gram-positive cocci (60.37%) were predominant organisms recovered followed by Gram-negative Bacilli (36.29%) and Yeasts (3.33%). Staphylococcus aureus, CoNS, and Acinetobacter spp. were the primary pathogens isolated. Aminoglycosides, carbapenems, and glycopeptides were the most effective drugs for treating bacteremia. CONCLUSIONS: Successful treatment of sepsis depends on early diagnosis and proper antimicrobial therapy. Local knowledge of bacteriological profile and antimicrobial sensitivity patterns helps rationalize empiric treatment strategies.
Databáze: OpenAIRE
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