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Personalised Warfarin Dosing in Children Post-cardiac Surgery
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Abstract<p>Warfarin dosing is challenging due to a multitude of factors affecting its pharmacokinetics (PK) and pharmacodynamics (PD). A novel personalised dosing algorithm predicated on a warfarin PK/PD model and incorporating CYP2C9 and VKORC1 genotype information has been developed for children. The present prospective, observational study aimed to compare the model with conventional weight-based dosing. The study involved two groups of children post-cardiac surgery: Group 1 were warfarin naïve, in whom loading and maintenance doses were estimated using the model over a 6-month duration and compared to historical case-matched controls. Group 2 were already established on maintenance therapy and randomised into a crossover study comparing the model with conventional maintenance dosing, over a 12-month period. Five patients enrolled in Group 1. Compared to the control group, the median time to achieve the first therapeutic INR was longer (5 vs. 2 days), to stable anticoagulation was shorter (29.0 vs. 96.5 days), to over-anticoagulation was longer (15.0 vs. 4.0 days). In addition, median percentage of INRs within the target range (%ITR) and percentage of time in therapeutic range (%TTR) was higher; 70% versus 47.4% and 83.4% versus 62.3%, respectively. Group 2 included 26 patients. No significant differences in INR control were found between model and conventional dosing phases; mean %ITR was 68.82% versus 67.9% (<italic>p</italic> = 0.84) and mean %TTR was 85.47% versus 80.2% (<italic>p</italic> = 0.09), respectively. The results suggest model-based dosing can improve anticoagulation control, particularly when initiating and stabilising warfarin dosing. Larger studies are needed to confirm these findings.</p>
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Publication Date
Sun Nov 02 2025
Journal Name
Nursing Science Quarterly
Managing Anger in Persons With Substance Use Disorders: A Global Nursing Perspective
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The management of anger is problematic for many people and it is a particularly important issue for persons with substance use disorders (SUD). The paper reviews the research studies dating back to 2005 on how to help persons with SUD manage anger. The literature reveals that various pharmaceutical and non-pharmacological approaches have been studied to help persons with SUD manage their anger. In chronic and lower risk situations non-pharmacological are the first line approaches, they include anger management training, cognitive-behavioral based treatments, exercising and relaxing, music therapy and empathy. Atypical antipsychotic and medications for opioid use disorders (MOUD) are also widely used. In acute and high risk of violen

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Publication Date
Mon Feb 17 2025
Journal Name
Bmc Nursing
Explaining the barriers and facilitators of the accreditation process in maternity departments
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Publication Date
Sat Jan 31 2026
Journal Name
Acta Diabetologica
Insulin resistance in type 1 diabetes: the silent burden unmasked by eGDR
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Publication Date
Tue Jun 17 2025
Journal Name
Baghdad Science Journal
ATPase level in Iraqi Diabetic Patients with and without Diabetic Kidney Disease
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Publication Date
Sun Dec 01 2019
Journal Name
Iop Conference Series: Materials Science And Engineering
Place dependence as the physical environment role function in the place attachment
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Abstract<p>This research sheds light on the physical environment role in creating the place attachment, by discussing one of the important factors in the attachment creation, it is the concept place dependence, consisting of two important dimensions: the place quality and the place expectation; they contain a number of the supporter physical environment sub-indicators for place attachment. Eight physical indicators were reached; they were found to have a close relationship to the place attachment, including: the open and green spaces existence, land use diversity, diversity of housing types, dwelling / population density, accessibility, transport network development degree, transport multiple mo</p> ... Show More
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Publication Date
Sun Sep 01 2024
Journal Name
Green Analytical Chemistry
Green methods for determination of paracetamol in drug samples: A comparative study
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Publication Date
Sat Jan 01 2022
Journal Name
Communications In Mathematical Biology And Neuroscience
Chaos in the three-species Sokol-Howell food chain system with fear
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Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
Different estimation methods of reliability in stress-strength model under chen distribution
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Publication Date
Thu Dec 09 2021
Journal Name
Iraqi Journal Of Pharmaceutical Sciences ( P-issn 1683 - 3597 E-issn 2521 - 3512)
Thymoquinone Attenuates Immune Mediated Liver Injury Induced by Concanavalin A in Mice
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Autoimmune hepatitis is an inflammatory disease and its incidence has been increasing. The features of hepatitis are the release of inflammatory cytokines, the elevation of AST and ALT, and hepatocyte apoptosis and necrosis. Concanavalin A considered as essential model represents the acute immune-mediated liver damage in rodents. Thymoquinone is well known herbal compound that exert hepatoprotective, anti-inflammatory, and antioxidant activity. In this study, we focus on the immunoregulatory and liver protective effect of thymoquinone in a mouse model of concanavalin A-induced liver injury.

Twenty-four male mice were randomly divided into four groups each containing six animals: Negative control group, concanavalin A model group,

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Publication Date
Wed Dec 01 2021
Journal Name
Baghdad Science Journal
Using Fuzzy Clustering to Detect the Tumor Area in Stomach Medical Images
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Although the number of stomach tumor patients reduced obviously during last decades in western countries, but this illness is still one of the main causes of death in developing countries. The aim of this research is to detect the area of a tumor in a stomach images based on fuzzy clustering. The proposed methodology consists of three stages. The stomach images are divided into four quarters and then features elicited from each quarter in the first stage by utilizing seven moments invariant. Fuzzy C-Mean clustering (FCM) was employed in the second stage for each quarter to collect the features of each quarter into clusters. Manhattan distance was calculated in the third stage among all clusters' centers in all quarters to disclosure of t

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