Background: Existing surveillance mechanisms may underestimate the incidence of carbapenem-resistant gram-negative infections (CRGNIs). Although carbapenem resistance increases the risk of death, the trend in mortality over time is unknown.
Methods: A retrospective cohort study was conducted at 40 academic medical centers using a discharge database to identify adult hospital admissions without cystic fibrosis in 2006-2012 and received intravenous colistin for >3 consecutive days or died during therapy (termed colistin cases). The primary outcomes were the number of colistin cases per 100,000 admissions per year and change in the hospital mortality rate over time compared with the rate of discharges to home. Secondary outcomes included median overall and intensive care unit lengths of stay.
Results: From 2006 to 2012, a total of 5011 unique patients were identified as colistin cases. The number per 100,000 admissions per year increased from 35.56 to 92.98 during the 7-year study (P < .001). The odds of in-hospital death among colistin cases (compared with discharge to home) decreased by a mean of 5.2%/y (P = .04), whereas discharge to an institution (P = .24) or hospice (P = .89) remained steady over time. The median overall and intensive care unit lengths of stay decreased by 7.5 and 6 days, respectively (P < .001). In a 4-hospital chart review, 81.6% of colistin cases were found to have culture-positive CRGNIs. Conversely, 53% of extensively drug-resistant bloodstream CRGNIs at 2 of these hospitals met colistin case criteria.
Conclusions: Colistin cases represent a severely ill population with a high probability of having culture-confirmed CRGNIs. Colistin tracking is a novel strategy for monitoring the incidence and mortality of CRGNIs, particularly those caused by extensively drug-resistant bacteria. Although the incidence of colistin cases nearly tripled within 7 years, more of these patients are surviving hospitalization and going home.
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http://dx.doi.org/10.1093/cid/ciu741 | DOI Listing |
J Antimicrob Chemother
January 2025
Department of Infectious Diseases and Clinical Microbiology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Objectives: To develop a scoring system to predict resistance to ceftolozane/tazobactam in Pseudomonas aeruginosa strains isolated from respiratory specimens.
Methods: A case-control study was conducted to evaluate the risk factors associated with resistance to ceftolozane/tazobactam. Patients with P.
Am J Infect Control
December 2024
Department of Microbiology, Vietnam National Children's Hospital, Hanoi, Vietnam.
Vet Sci
December 2024
Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Zakir Hossain Road, Khulshi, Chattogram 4225, Bangladesh.
Despite the significant growth in Sonali chicken production across Bangladesh, inadequate disease surveillance and control measures along with indiscriminate antimicrobial use remain major challenges to the sector. In this study, we evaluated the disease burden and antimicrobial prescription patterns of Sonali chickens in Bangladesh using a web-based data recording system from 2020 to 2021 and analyzed 1690 cases. The diagnoses recorded in the system were presumptive, as they were based on clinico-epidemiological history, clinical signs, and gross necropsy findings noted by registered veterinarians.
View Article and Find Full Text PDFCurr Genet
December 2024
School of Science, Monash University Malaysia, Bandar Sunway, Selangor, 47500, Malaysia.
Wastewater is a reservoir of pathogens and hotspots for disseminating antibiotic resistance genes across species. The metagenomic surveillance of wastewater provides insight into the native microbial community, antibiotic-resistance genes (ARGs) and mobile genetic elements. t.
View Article and Find Full Text PDFInt J Gen Med
December 2024
Department of Clinical Microbiology and Immunology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: This six-year retrospective study provides an in-depth analysis of the epidemiological and clinical patterns associated with () infections, focusing on age distribution, antibiotic resistance profiles, and specimen types.
Aim: The research examines the incidence and characteristics of non-Multi-Drug Resistant (non-MDR) and Multi-Drug Resistant (MDR) strains by reviewing patient records from January 2016 to December 2022.
Methods: Through a statistical analysis, the study highlights the incidence rates across diverse age groups and explores the impact of antibiotic treatment regimens on infection outcomes.
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