Table 1. Comparison of antimicrobial resistance rates of Acinetobacter baumannii blood isolates in groups
Ann Clin Microbiol 2022;25:137-145. Antimicrobial resistance patterns of Acinetobacter baumannii and Pseudomonas aeruginosa isolated from vulnerable patients in Korea, 2021 Download table ANTI CA (n = 31) HA (n = 198) P-value Non-ICU (n = 97) ICU (n = 132) P-value Inpatient (n = 206) Outpatient (n = 23) P-value No. (%) […]
Table 1. Results of time-kill assay against two-drug combinations of colistin and various antibiotics or a peptide for seven extensively drugresistant A. baumannii clinical isolates
Ann Clin Microbiol 2022;25:125-136. Assessment of the synergistic effect of seven antimicrobial combinations on extensively drug-resistant Acinetobacter baumannii strains Download table Strain Log10 (VC) at 24 hr Log10 (VC combination – VCMASA) at 24 hr Interaction Bactericidal activity* Colistin Doripenem Colistin + Doripenem Colistin + Doripenem Colistin + Doripenem 111-27 9.2 9.2 9.9 0.7 I† […]
Table 2. Concordance rates between resistance phenotype to cephalosporins and genotypes of CTX-M and PACBL
Ann Clin Microbiol 2022;25:119-124. Predicting phenotypic antimicrobial resistance in Escherichia coli isolates, using whole genome sequencing data Download table CTX-M type CTX-R % (n) CAZ-R % (n) CEF-R % (n) FOX-R % (n) AZT-R % (n) CTX-M-1 (n=11) 100 (11) 0 18 (2) 0 18 (2) CTX-M-14 (n=29) 100 (29) 0 4 (1) 0 0 […]
Table 1. Concordance rates between phenotypic antimicrobial susceptibility and genotype with the presence of resistance genes or mutation
Ann Clin Microbiol 2022;25:119-124. Predicting phenotypic antimicrobial resistance in Escherichia coli isolates, using whole genome sequencing data Download table Concordance rates: % (n/n)* GM-R CP-R SXT-R TET-R CIP-R aac(3′)-IIa: 100 (1/1) catA1: 100% (2/2) sul only: 3 (1/35) tet(A): 99 (82/83) parC: 50 (1/2) aac(3)-IId: 100 (2/2) catB3: 100% (3/3) sul2: 0 (0/32) tet(A)+tet(B): 100 […]
Table 4. Agreement & error rates between QMAC-dRAST and Vitek 2* for each antimicrobial agent
Ann Clin Microbiol 2022;25:109-118. Clinical usefulness of the QMAC-dRAST system for AmpC β-lactamase-producing Enterobacterales Download table Antimicrobial agents Total No. of tested isolates EA (%) CA (%) VME (%) ME (%) mE (%) Amikacin 80 100.0 100.0 0 0 0 Amoxicillin/Clavulanate 80 96.3 91.3 3.8 0 5.0 Ampicillin 80 98.8 98.8 0 50.0 0 Aztreonam […]
Table 3. The number of AST results and agreement & error rates between QMAC-dRAST and Vitek 2* for each bacterial species
Ann Clin Microbiol 2022;25:109-118. Clinical usefulness of the QMAC-dRAST system for AmpC β-lactamase-producing Enterobacterales Download table Bacterial species No. of AST results No. of susceptibility category in Vitek 2† EA CA VME ME mE R I S No. (%) No. (%) No. (%) No. (%) No. (%) M. morganii 280 88 12 180 257 (91.8) […]
Table 2. The number of agreement & error categories with the BMD test for isolates showing discrepancies between QMAC-dRAST and Vitek 2
Ann Clin Microbiol 2022;25:109-118. Clinical usefulness of the QMAC-dRAST system for AmpC β-lactamase-producing Enterobacterales Download table Bacterial species No. of AST results No. of susceptibility category in BMD No. of agreement & error categories QMAC-dRAST vs. BMD Vitek 2 vs. BMD R I S EA CA VME ME mE EA CA VME ME mE M. […]
Table 1. Comparison of agreement & error rates between QMAC-dRAST and Vitek 2* before and after AST algorithm optimization
Ann Clin Microbiol 2022;25:109-118. Clinical usefulness of the QMAC-dRAST system for AmpC β-lactamase-producing Enterobacterales Download table Bacterial species No. of AST results Before algorithm optimization (%) After algorithm optimization (%) CA VME ME mE CA VME ME mE M. morganii 120 67.5 25.8 17.9 17.5 79.2 0 7.1 15.8 S. marcescens 120 42.5 0 55.6 […]
A case report of Gemella sanguinis isolated from blood cultures of a patient with mitral valve prolapse
Case report Hyun Jin Kim1,3, Sungmin Kym2,3, Qute Choi1,3 1Department of Laboratory Medicine, 2Division of Infectious Diseases, Department of Internal Medicine, Chungnam National University Sejong Hospital, Sejong, 3Chungnam National University School of Medicine, Daejeon, Korea Corresponding to Qute Choi, E-mail: qutechoi@gmail.com Ann Clin Microbiol 2022;25(4):155-160. https://doi.org/10.5145/ACM.2022.25.4.6Received on 22 September 2022, Revised on 21 November 2022, […]
Evaluation of the BioFire FilmArray pneumonia panel for the detection of bacterial respiratory pathogens and antimicrobial resistance genes in endotracheal aspirate specimens
Original article Wee Gyo Lee1, Joon Kim1, Seung Soo Shin2, Ji Won Park2 Departments of 1Laboratory Medicine, 2Pulmonary Medicine, Ajou University School of Medicine, Suwon, Korea Corresponding to Wee Gyo Lee, E-mail: weegyo@ajou.ac.kr Ann Clin Microbiol 2022;25(4):147-154. https://doi.org/10.5145/ACM.2022.25.4.5Received on 1 November 2022, Revised on 1 December 2022, Accepted on 8 December 2022, Published on 20 […]