Carmila Manuel, Richard Maynard, Synthia Simpkins, Michelle Haro, Romney Humphries
{"title":"评估扩展抗生素耐药性基因面板对血液培养物中革兰氏阴性菌抗菌药敏感性结果的预测作用。","authors":"Carmila Manuel, Richard Maynard, Synthia Simpkins, Michelle Haro, Romney Humphries","doi":"10.1128/jcm.01020-24","DOIUrl":null,"url":null,"abstract":"<p><p>The QIAstat-Dx BCID Panels (RUO) (\"QIAstat,\" QIAGEN, Hilden, Germany) for identification of 13 Gram-negative bacteria and 18 antimicrobial resistance (AMR) gene groups was evaluated. The study was conducted in two phases; in phase 1, analytical performance was evaluated against 154 challenge isolates against whole genome sequencing data. In this phase, sensitivity and specificity of organism identification calls were 153/154 (99.3%) and 1,748/1,749 (99.8%), respectively. For AMR genes, sensitivity was 434/435 (99.8%) and specificity was 2,334/2,337 (99.9%). One false-negative <i>bla</i><sub>IMP</sub>, one false-positive <i>bla</i><sub>CTX-M</sub>, and two false-positive aac-6'-lb detections were noted in this challenge set of organisms. In phase 2, 101 clinical blood culture isolates of Gram-negative rods were evaluated by the multiplexed PCR versus reference broth microdilution, for the ability of identification combined with AMR genes to predict final susceptibility results. Negative predictive values were 92.8% for ampicillin resistance (100% for <i>Escherichia coli</i>), 93.4% for ceftriaxone, 97.4% for ceftazidime, and 98.7% for cefepime. In constrast, negative predictive values for current standard of care (identification plus detection of <i>bla</i><sub>CTX-M</sub>) ranged from 56.5% to 88.8%. This study demonstrated additive value of additional beta-lactamase genes for bacteria isolated from blood cultures.</p><p><strong>Importance: </strong>Prediction of Gram-negative bacteria resistance through detection of resistance genes is complex. This study evaluated a novel, direct-from-blood or bacterial isolate multiplexed PCR for the detection of 17 resistance genes, and evaluated the prediction of antimicrobial susceptibility.</p>","PeriodicalId":15511,"journal":{"name":"Journal of Clinical Microbiology","volume":null,"pages":null},"PeriodicalIF":6.1000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11481509/pdf/","citationCount":"0","resultStr":"{\"title\":\"Evaluation of an expanded antibiotic resistance gene panel on prediction of antimicrobial susceptibility results for Gram-negative bacteria in blood cultures.\",\"authors\":\"Carmila Manuel, Richard Maynard, Synthia Simpkins, Michelle Haro, Romney Humphries\",\"doi\":\"10.1128/jcm.01020-24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The QIAstat-Dx BCID Panels (RUO) (\\\"QIAstat,\\\" QIAGEN, Hilden, Germany) for identification of 13 Gram-negative bacteria and 18 antimicrobial resistance (AMR) gene groups was evaluated. The study was conducted in two phases; in phase 1, analytical performance was evaluated against 154 challenge isolates against whole genome sequencing data. In this phase, sensitivity and specificity of organism identification calls were 153/154 (99.3%) and 1,748/1,749 (99.8%), respectively. For AMR genes, sensitivity was 434/435 (99.8%) and specificity was 2,334/2,337 (99.9%). One false-negative <i>bla</i><sub>IMP</sub>, one false-positive <i>bla</i><sub>CTX-M</sub>, and two false-positive aac-6'-lb detections were noted in this challenge set of organisms. In phase 2, 101 clinical blood culture isolates of Gram-negative rods were evaluated by the multiplexed PCR versus reference broth microdilution, for the ability of identification combined with AMR genes to predict final susceptibility results. Negative predictive values were 92.8% for ampicillin resistance (100% for <i>Escherichia coli</i>), 93.4% for ceftriaxone, 97.4% for ceftazidime, and 98.7% for cefepime. In constrast, negative predictive values for current standard of care (identification plus detection of <i>bla</i><sub>CTX-M</sub>) ranged from 56.5% to 88.8%. This study demonstrated additive value of additional beta-lactamase genes for bacteria isolated from blood cultures.</p><p><strong>Importance: </strong>Prediction of Gram-negative bacteria resistance through detection of resistance genes is complex. This study evaluated a novel, direct-from-blood or bacterial isolate multiplexed PCR for the detection of 17 resistance genes, and evaluated the prediction of antimicrobial susceptibility.</p>\",\"PeriodicalId\":15511,\"journal\":{\"name\":\"Journal of Clinical Microbiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2024-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11481509/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Clinical Microbiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1128/jcm.01020-24\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/9/19 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Microbiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1128/jcm.01020-24","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/19 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
Evaluation of an expanded antibiotic resistance gene panel on prediction of antimicrobial susceptibility results for Gram-negative bacteria in blood cultures.
The QIAstat-Dx BCID Panels (RUO) ("QIAstat," QIAGEN, Hilden, Germany) for identification of 13 Gram-negative bacteria and 18 antimicrobial resistance (AMR) gene groups was evaluated. The study was conducted in two phases; in phase 1, analytical performance was evaluated against 154 challenge isolates against whole genome sequencing data. In this phase, sensitivity and specificity of organism identification calls were 153/154 (99.3%) and 1,748/1,749 (99.8%), respectively. For AMR genes, sensitivity was 434/435 (99.8%) and specificity was 2,334/2,337 (99.9%). One false-negative blaIMP, one false-positive blaCTX-M, and two false-positive aac-6'-lb detections were noted in this challenge set of organisms. In phase 2, 101 clinical blood culture isolates of Gram-negative rods were evaluated by the multiplexed PCR versus reference broth microdilution, for the ability of identification combined with AMR genes to predict final susceptibility results. Negative predictive values were 92.8% for ampicillin resistance (100% for Escherichia coli), 93.4% for ceftriaxone, 97.4% for ceftazidime, and 98.7% for cefepime. In constrast, negative predictive values for current standard of care (identification plus detection of blaCTX-M) ranged from 56.5% to 88.8%. This study demonstrated additive value of additional beta-lactamase genes for bacteria isolated from blood cultures.
Importance: Prediction of Gram-negative bacteria resistance through detection of resistance genes is complex. This study evaluated a novel, direct-from-blood or bacterial isolate multiplexed PCR for the detection of 17 resistance genes, and evaluated the prediction of antimicrobial susceptibility.
期刊介绍:
The Journal of Clinical Microbiology® disseminates the latest research concerning the laboratory diagnosis of human and animal infections, along with the laboratory's role in epidemiology and the management of infectious diseases.