Positive Predictive Value of True Bacteremia according to the Number of Positive Culture Sets in Adult Patients

Autor: Tsuyoshi, Kitaura, Hiroki, Chikumi, Hiromitsu, Fujiwara, Kensaku, Okada, Tatsuya, Hayabuchi, Masaki, Nakamoto, Miyako, Takata, Akira, Yamasaki, Tadashi, Igishi, Naoto, Burioka, Eiji, Shimizu
Rok vydání: 2014
Předmět:
Zdroj: Yonago acta medica. 57(4)
ISSN: 0513-5710
Popis: Performing multiple blood culture sets simultaneously is a standard blood culture methodology, although it is often difficult to distinguish true bacteremia from contamination when only one of several blood culture sets is positive. This study clarified the relationship between the number of positive blood culture sets and clinical significance in patients with positive blood culture.Patients aged 18 years and over with at least 1 positive blood culture were enrolled. Positive blood culture episodes were categorized from clinical records as true bacteremia, contamination, or unknown clinical significance. The associations among episodes of true bacteremia, isolated bacteria, the number of positive blood culture sets from among the performed sets, and the clinical background of patients were analyzed.Among a total of 407 episodes, 262, 67 and 78 were true bacteremia, contamination and unknown clinical significance, respectively. The positive predictive values (PPVs) of 1 out of 1, 1 out of 2 and 2 out of 2 positive sets in cases of Staphylococcus aureus, were 81.3%, 50% and 100% respectively; those in cases of coagulase-negative Staphylococci were 20.5%, 10.8% and 63.5%, respectively. Almost all cases of Escherichia coli, Pseudomonas aeruginosa, Klebsiella species and Candida species were true bacteremia. The probability of true bacteremia was strongly associated with recent surgery in multivariate analysis (P0.05).The probability of true bacteremia based on the number of positive culture sets from among the performed sets varies by microorganism. Therefore, PPVs calculated using this method may help physicians distinguish true bacteremia from contamination.
Databáze: OpenAIRE