Objectives: The objective of this study was to characterize the pharmacokinetics of unbound and total concentrations of daptomycin in infected ICU patients with various degrees of renal impairment. From these results, the probability of attaining antimicrobial efficacy and the risks of toxicity were assessed.
Methods: Twenty-four ICU patients with various renal functions and requiring treatment of complicated skin and soft-tissue infections, bacteraemia, or endocarditis with daptomycin were recruited. Daptomycin (Cubicin®) at 10 mg/kg was administered every 24 h for patients with creatinine clearance (CLCR) ≥30 mL/min and every 48 h for patients with CLCR <30 mL/min. Total and unbound plasma concentrations and urine concentrations of daptomycin were analysed simultaneously following a population pharmacokinetic approach. Simulations were conducted to estimate the probability of attaining efficacy (unbound AUCu/MIC >40 or >80) or toxicity (Cmin >24.3 mg/L) targets.
Results: Exposure to unbound daptomycin increased when the renal function decreased, thus increasing the probability of reaching the efficacy targets, but also the risk of toxicity. Modifications of the unbound fraction (fu) of daptomycin did not affect the pharmacokinetics of unbound daptomycin, but did affect the pharmacokinetics of total daptomycin.
Conclusions: Daptomycin at 10 mg/kg q24h allowed efficacy pharmacokinetic/pharmacodynamic targets for ICU patients with CLCR ≥30 mL/min to be reached. For patients with CLCR <30 mL/min, halving the rate of drug administration, i.e. 10 mg/kg q48h, was sufficient to reach these targets. No adverse events were observed, but the toxicity of the 10 mg/kg q24h dosing regimen should be further assessed, particularly for patients with altered renal function.
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http://dx.doi.org/10.1093/jac/dky374 | DOI Listing |
JAMA Netw Open
January 2025
Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia.
Importance: Multisystem inflammatory syndrome in children (MIS-C) is an uncommon but severe hyperinflammatory illness that occurs 2 to 6 weeks after SARS-CoV-2 infection. Presentation overlaps with other conditions, and risk factors for severity differ by patient. Characterizing patterns of MIS-C presentation can guide efforts to reduce misclassification, categorize phenotypes, and identify patients at risk for severe outcomes.
View Article and Find Full Text PDFJ Am Med Inform Assoc
January 2025
Department of Computer Science, Duke University, Durham, NC 27708, United States.
Objective: Prediction of mortality in intensive care unit (ICU) patients typically relies on black box models (that are unacceptable for use in hospitals) or hand-tuned interpretable models (that might lead to the loss in performance). We aim to bridge the gap between these 2 categories by building on modern interpretable machine learning (ML) techniques to design interpretable mortality risk scores that are as accurate as black boxes.
Material And Methods: We developed a new algorithm, GroupFasterRisk, which has several important benefits: it uses both hard and soft direct sparsity regularization, it incorporates group sparsity to allow more cohesive models, it allows for monotonicity constraint to include domain knowledge, and it produces many equally good models, which allows domain experts to choose among them.
Int J Nurs Knowl
January 2025
Graduate Program in Nursing, Federal University of Ceará, Fortaleza, Brazil.
Objective: To evaluate the accuracy of the defining characteristics of the nursing diagnosis Impaired skin integrity (00046) in patients admitted to intensive care units (ICUs).
Methods: A cross-sectional diagnostic accuracy study was conducted with 105 adult patients admitted to an ICU. A latent class model with random effects was used to test the sensitivity and specificity of the defining characteristics investigated.
Front Cell Infect Microbiol
January 2025
Department of Thoracic Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Introduction: Invasive pulmonary aspergillosis (IPA) increases the risk of mortality of critically ill patients. Diagnostic criteria specifically targeting patients in intensive care units(ICUs) have been developed to improve diagnostic sensitivity. This study investigated health outcomes among patients in ICUs with Aspergillus isolates identified using bronchoscopy.
View Article and Find Full Text PDFJ Multidiscip Healthc
January 2025
School of Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Background: This study evaluates a simulation-based interprofessional education (IPE) program implemented at the National Cheng Kung University Hospital between 2018 and 2023. The program aimed to improve teamwork, communication, and collaboration among healthcare professionals in high-acuity environments such as emergency departments and intensive care units (ICUs).
Methods: A prospective, mixed-methods approach was used to assess the program's effectiveness.
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