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Objective: To predict the level at a specified time and design personalised dosing, we proposed a method (Method 1) for estimating coagulation factor VIII (FVIII) pharmacokinetic (PK) parameters using 4 levels within 48 hours after administering a test dose.
Design: A retrospective study based on virtual populations and real patients.
Setting: A comprehensive hospital in China.
Participants: Virtual populations generated by Monte Carlo simulations and retrospectively collected real patient data.
Methods: PK profiles of FVIII after dosing in the virtual populations were generated from a published population PK model coupled with Monte Carlo simulation. The simulated coagulation factor levels were considered as the reference (C). FVIII levels at six sampling points after dosing were estimated with Method 1 and the method proposed by Lisheng Cai (Method 2) and compared with C. PK data from three patients with severe haemophilia A were retrospectively collected to further validate the accuracy of the two methods.
Results: In the adult group, the maximum mean deviations for Methods 1 and 2 were 0.43% (±0.35%) and -36.31% (±6.67%), with corresponding maximum root mean square errors (RMSE) of 0.12% and 28.44%, respectively. For the paediatric group, the maximum mean deviations for Methods 1 and 2 were 0.13% (±0.25%) and -34.27% (±6.74%), with maximum RMSEs of 0.05% and 25.33%, respectively. In three actual patients, mean deviations using Method 1 were 0.32%, 1.34% and 0.24%. Mean deviations using Method 2 were 13.37%, -16.86% and 56.66%.
Conclusion: The proposed method for estimating FVIII PK parameters and levels demonstrates high accuracy and has the potential for precision dosing.
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http://dx.doi.org/10.1136/bmjopen-2024-097053 | DOI Listing |
Asian Nurs Res (Korean Soc Nurs Sci)
September 2025
The Fourth Affiliated Hospital of Hebei Medical University; Address: The Fourth Affiliated Hospital of Hebei Medical University, No. 12 Jiankang Road, Chang'an District, Shijiazhuang City, Hebei Province, 050000, People's Republic of China. Electronic address:
Purpose: To examine the effectiveness of virtual reality (VR)-guided imagery relaxation (VRGI) intervention in reducing anxiety among lung cancer surgery patients.
Methods: A randomized clinical trial was conducted at the Fourth Affiliated Hospital of Hebei Medical University (Shijiazhuang, Hebei, China) to recruit patients scheduled for their first elective endoscopic lung cancer surgery under general anesthesia between December 2023 and March 2024. Patients were randomly assigned in a 1:1 ratio to either the control group, receiving routine treatment and staged care in thoracic surgery, or the experimental group, receiving VRGI intervention in addition to the control group's protocol.
J Pain Symptom Manage
September 2025
School of Nursing, Johns Hopkins University, Baltimore, Maryland, USA.
Background: Pain management in palliative care, especially among cancer patients, remains a critical challenge that significantly affects patient quality of life. Virtual Reality (VR) has emerged as a promising non-pharmacological intervention that could revolutionize pain management strategies in this vulnerable population. This systematic review and meta-analysis evaluate the effectiveness of VR interventions, focusing exclusively on randomized controlled trials to provide a comprehensive assessment of VR as a therapeutic tool.
View Article and Find Full Text PDFInt J Obes (Lond)
September 2025
Mater Hospital, Brisbane, QLD, Australia.
Background: Obesity is an important public health issue. Virtual reality provides an opportunity to increase benefits of traditional exercise programs with more immersive, interactive, and enjoyable experiences for weight control.
Objectives: This study aimed to explore the efficacy of virtual reality-enhanced exergames for obesity-related outcomes, including body weight, body mass index, body fat, and waist circumference.
J Mech Behav Biomed Mater
September 2025
Medical Technology Lab, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.
Osteoporosis constitutes a significant global health concern, however the development of novel treatments is challenging due to the limited cost-effectiveness and ethical concerns inherent to placebo-controlled clinical trials. Computational approaches are emerging as alternatives for the development and assessment of biomedical interventions. The aim of this study was to evaluate the ability of an In Silico trial technology (BoneStrength) to predict hip fracture incidence by implementing a novel approach designed to reproduce the phenomenology of falls as reported in clinical data, and by testing its accuracy in three virtual cohorts characterised by different risk profiles.
View Article and Find Full Text PDFRes Child Adolesc Psychopathol
September 2025
Willem Pompe Instituut Voor Strafrechtswetenschappen, Utrecht University, Utrecht, The Netherlands.
Technologies such as virtual reality, wearables, and mobile apps have the potential to improve forensic psychiatric treatment of youths. Meanwhile, these technological advancements have given rise to new, complex ethical challenges. Paying attention to ethics is especially relevant in forensic psychiatric youth settings because of the often coercive context of treatment and the vulnerable patient population.
View Article and Find Full Text PDF