The aim of this study was to establish the pharmacokinetics of levofloxacin (LVFX) and determine the optimal dose of this drug in critically ill patients receiving continuous hemodiafiltration (CHDF). The results of in vivo and in vitro studies showed the pharmacokinetics of LVFX total clearance (CLtotal) according to the creatinine clearance (CLCre), dialysate flow (QD), and ultrafiltrate flow (QF), to be as follows: CLtotal (l/h) = 0.0836 × CLCre (ml/min) + 0.013 × body weight (kg) + 0.94(QD + QF) (l/h). The optimal dose of LVFX was expressed by the following formula: 50 × CLtotal. These results demonstrate that the usual dose of LVFX (500 mg) was sufficient for the patients evaluated in this study.
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http://dx.doi.org/10.1186/s40560-015-0089-0 | DOI Listing |
JMIR Form Res
January 2025
Early Intervention in Psychosis Advisory Unit for South-East Norway, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.
Background: Shared decision-making between clinicians and service users is crucial in mental health care. One significant barrier to achieving this goal is the lack of user-centered services. Integrating digital tools into mental health services holds promise for addressing some of these challenges.
View Article and Find Full Text PDFCrit Care Explor
January 2025
Division of Pediatric Critical Care Medicine, Department of Pediatrics, Indiana University School of Medicine/Riley Children's Health, Indianapolis, IN.
Objectives: To investigate the prevalence of pulmonary embolism (PE) in children admitted to critical care diagnosed with COVID-19 infection.
Design: Retrospective database study.
Setting: Data reported to the Virtual Pediatric Systems, 2018-2021.
Nurs Health Sci
March 2025
School of Nursing, Master Program, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia.
To explore the experiences of nurses in maintaining the dignity of patients with life-limiting illnesses. A phenomenological study was conducted with 15 purposively selected nurses who provide care for patients with life-limiting illnesses. Colaizzi's naturalistic phenomenological approach was utilized to analyze the data.
View Article and Find Full Text PDFWorld J Clin Cases
January 2025
Department of Digital Anti-aging Healthcare (BK21), Inje University, Gimhae 50834, South Korea.
This article provides a comprehensive analysis of the study by Hou , focusing on the complex interplay between psychological and physical factors in the post-operative recovery (POR) of patients with perianal diseases. The study sheds light on how illness perception, anxiety, and depression significantly influence recovery outcomes. Hou developed a predictive model that demonstrated high accuracy in identifying patients at risk of poor recovery.
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