J.L.G. Haitsma Mulier , M. Falcone , G. Tiseo , A.M. Azzini , R. Scardellato , E. Franceschini , S. Tafuri , M. Merli , B. Carević , E. Roilides , N.L.J. van Sluis , D. Bottigliengo , V. Vella , C.H. van Werkhoven , C. Alaimo
{"title":"Postoperative risk of infection with klebsiella in adults – a retrospective case–control study","authors":"J.L.G. Haitsma Mulier , M. Falcone , G. Tiseo , A.M. Azzini , R. Scardellato , E. Franceschini , S. Tafuri , M. Merli , B. Carević , E. Roilides , N.L.J. van Sluis , D. Bottigliengo , V. Vella , C.H. van Werkhoven , C. Alaimo","doi":"10.1016/j.jhin.2025.04.036","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Hospital-acquired infections with <em>Klebsiella</em> spp. and emerging multi-drug-resistant strains are a persistent concern. Identifying high-risk groups is crucial for the evaluation of preventive interventions such as vaccines. We determined the incidence and developed prediction models for postsurgical klebsiella infections in adult elective surgery patients.</div></div><div><h3>Methods</h3><div>This multi-centre retrospective case–control study, in seven European hospitals, included patients ≥50 years old who underwent elective surgery between 2012 and 2021. Using multi-variable logistic regression, we modelled the risk of postsurgical klebsiella infection and investigated trial enrichment scenarios.</div></div><div><h3>Results</h3><div>Of 139,778 eligible surgeries identified, 1781 were included: 840 patients with postsurgical klebsiella infection and 941 without. The incidence of postsurgical klebsiella infection was 1.38% (95% confidence interval 1.24–1.54%). Pre-surgical klebsiella colonization, gastrointestinal surgery, abdominal surgery, trauma surgery and chronic cardiovascular disease were independent predictors of postoperative klebsiella infection. Minimally invasive surgery and peri-operative antibiotic prophylaxis predicted a lower risk. Trial enrichment simulation indicated a 72% reduction in required participants when enrolling patients with a predicted risk above 2%.</div></div><div><h3>Conclusions</h3><div>A multi-variable model incorporating klebsiella colonization status and clinical factors can accurately predict klebsiella infections in elective surgery patients. This model can select high-risk patients, enhancing the efficiency of phase-III trials of preventive interventions, including vaccination.</div></div>","PeriodicalId":54806,"journal":{"name":"Journal of Hospital Infection","volume":"162 ","pages":"Pages 26-35"},"PeriodicalIF":3.9000,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospital Infection","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0195670125001562","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Hospital-acquired infections with Klebsiella spp. and emerging multi-drug-resistant strains are a persistent concern. Identifying high-risk groups is crucial for the evaluation of preventive interventions such as vaccines. We determined the incidence and developed prediction models for postsurgical klebsiella infections in adult elective surgery patients.
Methods
This multi-centre retrospective case–control study, in seven European hospitals, included patients ≥50 years old who underwent elective surgery between 2012 and 2021. Using multi-variable logistic regression, we modelled the risk of postsurgical klebsiella infection and investigated trial enrichment scenarios.
Results
Of 139,778 eligible surgeries identified, 1781 were included: 840 patients with postsurgical klebsiella infection and 941 without. The incidence of postsurgical klebsiella infection was 1.38% (95% confidence interval 1.24–1.54%). Pre-surgical klebsiella colonization, gastrointestinal surgery, abdominal surgery, trauma surgery and chronic cardiovascular disease were independent predictors of postoperative klebsiella infection. Minimally invasive surgery and peri-operative antibiotic prophylaxis predicted a lower risk. Trial enrichment simulation indicated a 72% reduction in required participants when enrolling patients with a predicted risk above 2%.
Conclusions
A multi-variable model incorporating klebsiella colonization status and clinical factors can accurately predict klebsiella infections in elective surgery patients. This model can select high-risk patients, enhancing the efficiency of phase-III trials of preventive interventions, including vaccination.
期刊介绍:
The Journal of Hospital Infection is the editorially independent scientific publication of the Healthcare Infection Society. The aim of the Journal is to publish high quality research and information relating to infection prevention and control that is relevant to an international audience.
The Journal welcomes submissions that relate to all aspects of infection prevention and control in healthcare settings. This includes submissions that:
provide new insight into the epidemiology, surveillance, or prevention and control of healthcare-associated infections and antimicrobial resistance in healthcare settings;
provide new insight into cleaning, disinfection and decontamination;
provide new insight into the design of healthcare premises;
describe novel aspects of outbreaks of infection;
throw light on techniques for effective antimicrobial stewardship;
describe novel techniques (laboratory-based or point of care) for the detection of infection or antimicrobial resistance in the healthcare setting, particularly if these can be used to facilitate infection prevention and control;
improve understanding of the motivations of safe healthcare behaviour, or describe techniques for achieving behavioural and cultural change;
improve understanding of the use of IT systems in infection surveillance and prevention and control.