{"title":"SARS-CoV-2大流行对德国一所大型大学医院耐药菌传播稳健性的影响","authors":"G. Donvito , F. Bürkin , T. Donker","doi":"10.1016/j.jhin.2025.04.032","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Patient transfers occur frequently between hospital departments and wards, and bring with them the risk of interdepartmental transmission of antibiotic-resistant bacteria (ARB). These bacteria form a risk to patients already susceptible to colonization and infection.</div></div><div><h3>Aim</h3><div>To assess the impact of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic on the intrahospital network of a large German university hospital.</div></div><div><h3>Methods</h3><div>Using data collected from the hospital between 2019 and 2023, a model was developed to represent an intrahospital transfer network with all patient movements between all wards by creating a time-sliced temporal network for each month. The network was described, and its robustness against the spread of ARB was assessed by simulating outbreaks between wards.</div></div><div><h3>Findings</h3><div>In April 2020, when many elective surgeries were cancelled due to the SARS-CoV-2 pandemic, the robustness of the network increased strongly in comparison with all other months. Despite the network being relatively stable over the study period, it was affected by an internal change in hospital structure due to a hospital merger.</div></div><div><h3>Conclusion</h3><div>The intrahospital transfer network was affected by external influences due to the SARS-CoV-2 pandemic, slowing down the potential spread of nosocomial pathogens. The network was generally stable and recovered quickly, although an internal force affected the structure of the network. A better understanding of the influence of patient transfers will help in the design of intervention strategies against the spread of antimicrobial resistance within hospitals.</div></div>","PeriodicalId":54806,"journal":{"name":"Journal of Hospital Infection","volume":"162 ","pages":"Pages 68-75"},"PeriodicalIF":3.9000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of the SARS-CoV-2 pandemic on hospital robustness to the spread of antibiotic-resistant bacteria in a large German university hospital\",\"authors\":\"G. Donvito , F. Bürkin , T. Donker\",\"doi\":\"10.1016/j.jhin.2025.04.032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Patient transfers occur frequently between hospital departments and wards, and bring with them the risk of interdepartmental transmission of antibiotic-resistant bacteria (ARB). These bacteria form a risk to patients already susceptible to colonization and infection.</div></div><div><h3>Aim</h3><div>To assess the impact of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic on the intrahospital network of a large German university hospital.</div></div><div><h3>Methods</h3><div>Using data collected from the hospital between 2019 and 2023, a model was developed to represent an intrahospital transfer network with all patient movements between all wards by creating a time-sliced temporal network for each month. The network was described, and its robustness against the spread of ARB was assessed by simulating outbreaks between wards.</div></div><div><h3>Findings</h3><div>In April 2020, when many elective surgeries were cancelled due to the SARS-CoV-2 pandemic, the robustness of the network increased strongly in comparison with all other months. Despite the network being relatively stable over the study period, it was affected by an internal change in hospital structure due to a hospital merger.</div></div><div><h3>Conclusion</h3><div>The intrahospital transfer network was affected by external influences due to the SARS-CoV-2 pandemic, slowing down the potential spread of nosocomial pathogens. The network was generally stable and recovered quickly, although an internal force affected the structure of the network. A better understanding of the influence of patient transfers will help in the design of intervention strategies against the spread of antimicrobial resistance within hospitals.</div></div>\",\"PeriodicalId\":54806,\"journal\":{\"name\":\"Journal of Hospital Infection\",\"volume\":\"162 \",\"pages\":\"Pages 68-75\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-05-12\",\"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/S0195670125001355\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospital Infection","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0195670125001355","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Impact of the SARS-CoV-2 pandemic on hospital robustness to the spread of antibiotic-resistant bacteria in a large German university hospital
Background
Patient transfers occur frequently between hospital departments and wards, and bring with them the risk of interdepartmental transmission of antibiotic-resistant bacteria (ARB). These bacteria form a risk to patients already susceptible to colonization and infection.
Aim
To assess the impact of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic on the intrahospital network of a large German university hospital.
Methods
Using data collected from the hospital between 2019 and 2023, a model was developed to represent an intrahospital transfer network with all patient movements between all wards by creating a time-sliced temporal network for each month. The network was described, and its robustness against the spread of ARB was assessed by simulating outbreaks between wards.
Findings
In April 2020, when many elective surgeries were cancelled due to the SARS-CoV-2 pandemic, the robustness of the network increased strongly in comparison with all other months. Despite the network being relatively stable over the study period, it was affected by an internal change in hospital structure due to a hospital merger.
Conclusion
The intrahospital transfer network was affected by external influences due to the SARS-CoV-2 pandemic, slowing down the potential spread of nosocomial pathogens. The network was generally stable and recovered quickly, although an internal force affected the structure of the network. A better understanding of the influence of patient transfers will help in the design of intervention strategies against the spread of antimicrobial resistance within hospitals.
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.