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1.
BMC Nurs ; 23(1): 296, 2024 Apr 29.
Artigo em Inglês | MEDLINE | ID: mdl-38684975

RESUMO

BACKGROUND: Intrahospital transport of critically ill patients is a common practice in intensive care units (ICUs), where patients' safety is constantly challenged in high-intensity and dynamic environments. While Intrahospital Transport Safety Scale (IHTSS) is widely used internationally to evaluate the intrahospital transport safety, it has not been introduced in China. OBJECTIVES: This study aimed to assess the reliability and validity of the Chinese version of the IHTSS scale among critical care nurses in China. METHODS: A cross-sectional study was conducted using a cluster sampling method. A total of 544 critical care nurses from 25 ICUs in 10 tertiary hospitals were recruited. We employed exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to examine the questionnaire's underlying factor structure, ensuring construct validity. Additionally, internal consistency was assessed using Cronbach's alpha coefficient, test-retest reliability, and corrected item-total correlation. RESULTS: The Chinese version of the scale displayed robust psychometric properties, with a Cronbach's α coefficient of 0.976, a split-half reliability of 0.906, and a test-retest reliability of 0.856. EFA revealed a robust four-factor model that accounted for 75.970% of the variance, with the factor loadings of the items ranging from 0.433 to 0.951. CFA indicated a strong model fit, with a chi-square to degrees of freedom ratio (CMIN/DF) of 2.765, comparative fit index (CFI) of 0.943, incremental fit index (IFI) of 0.943, and goodness-of-fit index (GFI) of 0.845, supporting the efficacy of the four-factor model in assessing intrahospital transport safety for critically ill patients. CONCLUSION: The Chinese version of the IHTSS demonstrated favourable reliability and validity among critical care nurses in China, making it a suitable tool for measuring the level of intrahospital transport safety for critically ill patients.

2.
Front Pharmacol ; 15: 1369384, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38560357

RESUMO

Objective: This study aims to analyze adverse drug events (ADEs) associated with cenobamate from the FAERS database, covering the third quarter of 2020 to the second quarter of 2023. Methods: Data related to cenobamate-associated ADEs from the third quarter of 2020 to the second quarter of 2023 were collected. After standardizing the data, various signal quantification techniques, including ROR, MHRA, BCPNN, and MGPS, were employed for analysis. Results: Among 2535 ADE reports where cenobamate was the primary suspected drug, 94 adverse reactions involving 11 different System Organ Class (SOC) categories were identified through the application of four signal quantification techniques. More specifically, neurological disorders and injuries resultant from complications are frequent adverse reactions associated with cenobamate. Conclusion: Our research findings align with established results, affirming the favorable safety profile of cenobamate. Effective prevention of adverse reactions induced by cenobamate can be achieved through the establishment of efficient blood concentration monitoring and dose adjustments.

3.
Chem Asian J ; 13(17): 2195-2207, 2018 Sep 04.
Artigo em Inglês | MEDLINE | ID: mdl-29901850

RESUMO

Diaryliodonium salt, as a stable and easily prepared reagent, has become one of the most efficient arylation reagents in organic synthesis. In traditional methods, this reagent is generally applied as a single arylation source and the regenerated aryl iodide is a waste of resources. In the past five years, transition-metal-catalyzed utilization of both aryl groups in diaryliodonium salts has been well demonstrated. The purpose of the present review is to focus on various atom-economical applications of diaryliodonium salt methodologies that have been reported recently for the synthesis of functionalized molecules. The presentation is organized according to the structures of the diaryliodonium salts and the reaction components.

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