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3.
Am Surg ; 87(5): 765-770, 2021 May.
Article in English | MEDLINE | ID: mdl-33170029

ABSTRACT

BACKGROUND: Deranged physiology in trauma complicates the clinical identification of sepsis, resulting in overscreening for bacteremia. No clinical signs or biomarkers accurately diagnose sepsis in this population. Our objective was to evaluate the accuracy of the current criteria used to prompt screening for bacteremia in trauma patients and determine independent predictors of bacteremia. MATERIALS AND METHODS: Adult trauma patients admitted to our level I academic trauma center who had blood cultures (BCs) drawn were identified. Those with positive BCs were compared to those with negative or false positive BCs. False positive was defined as a BC deemed contaminated and not treated at the discretion of the attending physician. RESULTS: Over a 2-year period, 366 trauma patients had BCs drawn. After excluding surveillance cultures (those drawn to demonstrate bacteremia clearance), 492 unique BC sets were evaluated; 104 (21.1%) BC sets were positive; 30 (28.8%) of these were falsely positive, resulting in a true-positive rate of 15% in the screened population. Univariate analysis suggested temperature and heart rate were associated with positive BC, while multivariable analysis found only the presence of a central line and lactic acid to be predictive. Procalcitonin (PCT) was poorly predictive, with a positive predictive value of 18% and a negative predictive value of 91%. CONCLUSION: Current tools for identifying bacteremia in trauma patients result in overscreening. PCT may have a limited role as a negative predictor for bacteremia. Given that false-positive BCs have negative patient and economic consequences, future study should focus on development of alternative screening modalities.


Subject(s)
Bacteremia/diagnosis , Wounds and Injuries/complications , Adult , Aged , Bacteremia/blood , Bacteremia/etiology , Biomarkers/blood , Blood Culture , Case-Control Studies , False Positive Reactions , Female , Humans , Male , Medical Overuse , Middle Aged , Multivariate Analysis , Predictive Value of Tests , Procalcitonin/blood , Retrospective Studies , Risk Factors
4.
Antimicrob Agents Chemother ; 57(11): 5733-6, 2013 Nov.
Article in English | MEDLINE | ID: mdl-23979738

ABSTRACT

Alanine substitutions and selected deletions have been used to localize amino acids in QnrB essential for its protective activity. Essential amino acids are found at positions i and i(-2) in the pentapeptide repeat module and in the larger of two loops, where deletion of only a single amino acid compromises activity. Deletion of 10 amino acids at the N terminus is tolerated, but removal of 3 amino acids in the C-terminal dimerization unit destroys activity.


Subject(s)
Drug Resistance, Bacterial/genetics , Escherichia coli Proteins/genetics , Escherichia coli/genetics , Mutation , Amino Acid Substitution , Anti-Bacterial Agents/pharmacology , DNA Mutational Analysis , Drug Resistance, Bacterial/drug effects , Escherichia coli/drug effects , Escherichia coli/metabolism , Escherichia coli Proteins/metabolism , Mutagenesis, Site-Directed , Protein Isoforms/genetics , Protein Isoforms/metabolism , Protein Multimerization , Protein Structure, Tertiary , Quinolones/pharmacology
5.
Antimicrob Agents Chemother ; 55(11): 4979-84, 2011 Nov.
Article in English | MEDLINE | ID: mdl-21844311

ABSTRACT

qnrB is the most common of the five qnr families and has the greatest number of allelic variants. Almost two-thirds of the qnrB alleles have been reported in Citrobacter spp., and several were shown to be located on the chromosome. In this study, PCR was used to investigate the prevalence of plasmid-mediated quinolone resistance genes in 71 clinical isolates belonging to the Citrobacter freundii complex. Thirty-seven percent contained qnrB alleles, including 7 (qnrB32 to qnrB38) that were novel and 1 pseudogene, while none contained qnrA, qnrC, qnrD, qnrS, or aac(6')-Ib-cr. When the strains were arrayed by related 16S rRNA sequence and further separated into subspecies by biochemical criteria, clustering of qnrB-positive strains was evident. In only two strains with qnrB2 and qnrB4 was quinolone resistance transferable by conjugation, and only these strains contained the ISCR1 sequence that is often associated with qnrB on plasmids. Five of 26 qnrB-positive strains contained integrase genes, but these included the strains with qnrB2 and qnrB4 as well as two strains with other transmissible plasmids. In a fully sequenced genome of Citrobacter youngae, a member of the C. freundii complex, another novel qnrB allele, qnrB39, occurs in a sequence of genes that is 90% identical to sequence surrounding integron-associated qnrB4 incorporated into plasmids. The chromosome of Citrobacter is the likely source of plasmid-mediated qnrB.


Subject(s)
Bacterial Proteins/genetics , Citrobacter/genetics , Alleles , Anti-Bacterial Agents/pharmacology , Bacterial Proteins/classification , Chromosomes, Bacterial/genetics , Ciprofloxacin/pharmacology , Citrobacter/drug effects , Citrobacter freundii/drug effects , Citrobacter freundii/genetics , Drug Resistance, Bacterial/genetics , Microbial Sensitivity Tests , Molecular Sequence Data , Polymerase Chain Reaction , Quinolones/pharmacology , RNA, Ribosomal, 16S/genetics , Sequence Analysis, DNA
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