98%
921
2 minutes
20
Purpose: Target-controlled infusion (TCI) could provide a patient-tailored approach for vancomycin dosing. This study aimed to externally evaluate the predictive performance of a previously constructed pharmacokinetic model of vancomycin (Choi model) specifically optimized for TCI administration of vancomycin differing from the existing model, and to assess the feasibility of administering vancomycin via TCI in clinical practice. Additionally, clinical outcomes were exploratively compared between the TCI and intermittent infusion (standard) methods for vancomycin administration.
Patients And Methods: Clinically ill patients were randomly assigned in a 1:1 ratio to either the TCI or standard group. In the TCI group, vancomycin was administered using the Choi model, targeting an initial concentration of 25 mg/L, adjusted to maintain therapeutic levels (20-30 mg/L). The standard group received a loading dose of 25 mg/kg, then 15 mg/kg every 12 hours. Vancomycin concentrations for analysis were obtained from three blood samples per patient at set times, along with routine therapeutic drug monitoring data. Predictive performance was assessed using four parameters: inaccuracy, divergence, bias, and wobble. The occurrence of acute kidney injury (AKI) during and up to 7 days after vancomycin was investigated.
Results: The study was terminated early due to challenges in enrolling subjects (TCI: n=12, standard: n=13). Thirty-seven serum concentration measurements from the TCI group were analyzed. Pooled median bias and inaccuracy (95% confidence interval) were -2.7 (-7.3 to 1.9) and 17.0 (13.9 to 20.2), respectively. AKI incidence was similar between groups (TCI: n=0, standard: n=1) in this exploratory analysis, but caution is warranted in interpreting these outcomes as the planned sample size was not met.
Conclusion: The predictive performance of the TCI system integrated with the Choi model was suitable for clinical use. Further studies with a large cohort should be performed to determine the clinical effectiveness of vancomycin administered via the TCI method.
Trial Registration: This study was registered at the Clinical Research Information Service of the Korean National Institute of Health (CRIS, http://cris.nih.go.kr), with registration number KCT0003462, on January 31, 2019).
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11952145 | PMC |
http://dx.doi.org/10.2147/DDDT.S507377 | DOI Listing |
Driven by eutrophication and global warming, the occurrence and frequency of harmful cyanobacteria blooms (CyanoHABs) are increasing worldwide, posing a serious threat to human health and biodiversity. Early warning enables precautional control measures of CyanoHABs within water bodies and in water works, and it becomes operational with high frequency in situ data (HFISD) of water quality and forecasting models by machine learning (ML). However, the acceptance of early warning systems by end-users relies significantly on the interpretability and generalizability of underlying models, and their operability.
View Article and Find Full Text PDFWater Res
September 2025
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China. Electronic address:
Groundwater overextraction presents persistent challenges due to strategic interdependence among decentralized users. While game-theoretic models have advanced the analysis of individual incentives and collective outcomes, most frameworks assume fully rational agents and neglect the role of cognitive and social factors. This study proposes a coupled model that integrates opinion dynamics with a differential game of groundwater extraction, capturing the interaction between institutional authority and evolving stakeholder preferences.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
University of Nevada, Las Vegas, Las Vegas, NV, United States.
Background: In-hospital cardiac arrest (IHCA) remains a public health conundrum with high morbidity and mortality rates. While early identification of high-risk patients could enable preventive interventions and improve survival, evidence on the effectiveness of current prediction methods remains inconclusive. Limited research exists on patients' prearrest pathophysiological status and predictive and prognostic factors of IHCA, highlighting the need for a comprehensive synthesis of predictive methodologies.
View Article and Find Full Text PDFClin Transl Gastroenterol
September 2025
Department of Internal Medicine, School of Medicine, University of Medicine and Pharmacy at Ho Cho Minh City, Vietnam.
Background: Severe acute pancreatitis (SAP) is a life-threatening condition requiring early risk stratification. While the Bedside Index for Severity in Acute Pancreatitis (BISAP) is widely used, its reliance on complex parameters limits its applicability in resource-constrained settings. This study introduces a decision tree model based on Classification and Regression Tree (CART) analysis, utilizing Neutrophil-to-Lymphocyte Ratio (NLR) and C-reactive Protein (CRP), as a simpler alternative for early SAP prediction.
View Article and Find Full Text PDFPLoS One
September 2025
Institute of Computational Science and Technology, Guangzhou University, Guangzhou, China.
MicroRNAs (miRNAs) are critical regulators of gene expression in cancer biology, yet their spatial dynamics within tumor microenvironments (TMEs) remain underexplored due to technical limitations in current spatial transcriptomics (ST) technologies. To address this gap, we present STmiR, a novel XGBoost-based framework for spatially resolved miRNA activity prediction. STmiR integrates bulk RNA-seq data (TCGA and CCLE) with spatial transcriptomics profiles to model nonlinear miRNA-mRNA interactions, achieving high predictive accuracy (Spearman's ρ > 0.
View Article and Find Full Text PDF