Victoria Gavaghan, Jessica L Miller, Maureen Shields, Jennifer Dela-Pena
{"title":"某三级教学医院产β -内酰胺酶肠杆菌菌血症风险评估评分工具的鉴定与验证","authors":"Victoria Gavaghan, Jessica L Miller, Maureen Shields, Jennifer Dela-Pena","doi":"10.1017/ash.2025.70","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To identify institution-specific risk factors for extended-spectrum beta-lactamase (ESBL) bloodstream infections (BSI) to develop and validate a risk assessment scoring tool that can be utilized for hospitalized patients.</p><p><strong>Design: </strong>Single-center, retrospective, case-control study.</p><p><strong>Setting: </strong>Tertiary teaching hospital.</p><p><strong>Patients: </strong>Hospitalized adult and pediatric patients with <i>E. coli</i> or <i>Klebsiella</i> spp. BSI were stratified based on ESBL production between August 2019 to July 2021. Exclusion criteria included patients < 28 days old, a positive blood culture resulting prior to admission/after discharge or a polymicrobial and/or carbapenem-resistant BSI.</p><p><strong>Methods: </strong>Multivariable logistic regression assessed predictors of ESBL in a derivation cohort. Predictors were applied to a novel validation BSI cohort using area under the receiver-operator characteristics curve (ROC AUC) to assess the reliability of identifying patients likely to harbor ESBL at the time of organism identification.</p><p><strong>Results: </strong>A total of 238 patients in the derivation cohort met inclusion criteria stratified as ESBL (n = 68) or non-ESBL (n = 170). Multivariable logistic regression demonstrated diabetes, 30-day history of invasive procedure or antibiotic use, and/or history of ESBL as independent predictors of ESBL. After creation of an ESBL risk assessment tool, the results were applied to a validation cohort of 170 patients. This model displayed good calibration and discrimination with a strong predictive power (Hosmer-Lemeshow χ<sup>2</sup>= 4.66, p = 0.19; ROC AUC = 0.88, 95% CI = 0.7909 - 0.974).</p><p><strong>Conclusions: </strong>A validated ESBL risk assessment tool reliably identified hospitalized patients likely to harbor ESBL <i>E. coli</i> or <i>Klebsiella</i> spp. BSI upon organism identification.</p>","PeriodicalId":72246,"journal":{"name":"Antimicrobial stewardship & healthcare epidemiology : ASHE","volume":"5 1","pages":"e102"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12022925/pdf/","citationCount":"0","resultStr":"{\"title\":\"Identification and validation of a risk assessment scoring tool for extended-spectrum beta-lactamase-producing Enterobacterales bacteremia at a tertiary teaching hospital.\",\"authors\":\"Victoria Gavaghan, Jessica L Miller, Maureen Shields, Jennifer Dela-Pena\",\"doi\":\"10.1017/ash.2025.70\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To identify institution-specific risk factors for extended-spectrum beta-lactamase (ESBL) bloodstream infections (BSI) to develop and validate a risk assessment scoring tool that can be utilized for hospitalized patients.</p><p><strong>Design: </strong>Single-center, retrospective, case-control study.</p><p><strong>Setting: </strong>Tertiary teaching hospital.</p><p><strong>Patients: </strong>Hospitalized adult and pediatric patients with <i>E. coli</i> or <i>Klebsiella</i> spp. BSI were stratified based on ESBL production between August 2019 to July 2021. Exclusion criteria included patients < 28 days old, a positive blood culture resulting prior to admission/after discharge or a polymicrobial and/or carbapenem-resistant BSI.</p><p><strong>Methods: </strong>Multivariable logistic regression assessed predictors of ESBL in a derivation cohort. Predictors were applied to a novel validation BSI cohort using area under the receiver-operator characteristics curve (ROC AUC) to assess the reliability of identifying patients likely to harbor ESBL at the time of organism identification.</p><p><strong>Results: </strong>A total of 238 patients in the derivation cohort met inclusion criteria stratified as ESBL (n = 68) or non-ESBL (n = 170). Multivariable logistic regression demonstrated diabetes, 30-day history of invasive procedure or antibiotic use, and/or history of ESBL as independent predictors of ESBL. After creation of an ESBL risk assessment tool, the results were applied to a validation cohort of 170 patients. This model displayed good calibration and discrimination with a strong predictive power (Hosmer-Lemeshow χ<sup>2</sup>= 4.66, p = 0.19; ROC AUC = 0.88, 95% CI = 0.7909 - 0.974).</p><p><strong>Conclusions: </strong>A validated ESBL risk assessment tool reliably identified hospitalized patients likely to harbor ESBL <i>E. coli</i> or <i>Klebsiella</i> spp. BSI upon organism identification.</p>\",\"PeriodicalId\":72246,\"journal\":{\"name\":\"Antimicrobial stewardship & healthcare epidemiology : ASHE\",\"volume\":\"5 1\",\"pages\":\"e102\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12022925/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Antimicrobial stewardship & healthcare epidemiology : ASHE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/ash.2025.70\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Antimicrobial stewardship & healthcare epidemiology : ASHE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/ash.2025.70","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
Identification and validation of a risk assessment scoring tool for extended-spectrum beta-lactamase-producing Enterobacterales bacteremia at a tertiary teaching hospital.
Objective: To identify institution-specific risk factors for extended-spectrum beta-lactamase (ESBL) bloodstream infections (BSI) to develop and validate a risk assessment scoring tool that can be utilized for hospitalized patients.
Patients: Hospitalized adult and pediatric patients with E. coli or Klebsiella spp. BSI were stratified based on ESBL production between August 2019 to July 2021. Exclusion criteria included patients < 28 days old, a positive blood culture resulting prior to admission/after discharge or a polymicrobial and/or carbapenem-resistant BSI.
Methods: Multivariable logistic regression assessed predictors of ESBL in a derivation cohort. Predictors were applied to a novel validation BSI cohort using area under the receiver-operator characteristics curve (ROC AUC) to assess the reliability of identifying patients likely to harbor ESBL at the time of organism identification.
Results: A total of 238 patients in the derivation cohort met inclusion criteria stratified as ESBL (n = 68) or non-ESBL (n = 170). Multivariable logistic regression demonstrated diabetes, 30-day history of invasive procedure or antibiotic use, and/or history of ESBL as independent predictors of ESBL. After creation of an ESBL risk assessment tool, the results were applied to a validation cohort of 170 patients. This model displayed good calibration and discrimination with a strong predictive power (Hosmer-Lemeshow χ2= 4.66, p = 0.19; ROC AUC = 0.88, 95% CI = 0.7909 - 0.974).
Conclusions: A validated ESBL risk assessment tool reliably identified hospitalized patients likely to harbor ESBL E. coli or Klebsiella spp. BSI upon organism identification.