Intensive care units (ICUs) are specialized environments dedicated to the management of critically ill patients, who are particularly susceptible to drug-resistant bacteria. Among these, carbapenem-resistant Gram-negative bacteria (CR-GNB) pose a significant threat endangering the lives of ICU patients. Carbapenemase production is a key resistance mechanism in CR-GNB, with the transfer of resistance genes contributing to the extensive emergence of antimicrobial resistance (AMR). CR-GNB infections are widespread in ICUs, highlighting an urgent need for prevention and control measures to reduce mortality rates associated with CR-GNB transmission or infection. This review provides an overview of key aspects surrounding CR-GNB within ICUs. We examine the mechanisms of bacterial drug resistance, the resistance genes that frequently occur with CR-GNB infections in ICU, and the therapeutic options against carbapenemase genotypes. Additionally, we highlight crucial preventive measures to impede the transmission and spread of CR-GNB within ICUs, along with reviewing the advances made in the field of clinical predictive modeling research, which hold excellent potential for practical application.

BACKGROUND: With the spread of COVID-19 and the worsening global prevention and control situation, the risk of infection faced by health workers has been unprecedented. It is necessary to fully understand the occupational risks of health workers to protect them and reduce their risk of infection.
OBJECTIVE: This study aimed to obtain comprehensive and detailed information on occupational risk factors of infectious diseases for HWs in different dimensions and to propose control strategies for three risk dimensions to protect HWs who are at high risk of infection during the pandemic.
METHODS: A total number of 619 articles published from 2010 to 2021 were searched to conduct bibliometric analysis, which were retrieved in the Web of Science database with defined search terms. There were 26 articles met the criteria, and they were screened to identify occupational risk factors.
RESULTS: We conducted an analysis of cited institutions, co-citation network analysis of journals, and references from bibliometric analysis. Nine risk factors were extracted, and they were classified and sorted into three dimensions. Infection control strategies for each dimension were proposed.
CONCLUSIONS: The risk of infection faced by HWs is unprecedented. Medical institutions should pay more attention to the nine risk factors that we identified and use the three risk dimensions to carry out risk identification and infection control to reduce the infection risk of HWs and protect them better.