Cystic fibrosis (CF) has been linked to altered drug disposition in various studies. However, the magnitude of these changes, influencing factors, and underlying mechanisms remain a matter of debate. The primary aim of this work was therefore to quantify changes in drug disposition (top-down) and the pathophysiological parameters known to affect pharmacokinetics (PKs; bottom-up). This was done through meta-analyses and meta-regressions in addition to theoretical PK simulations. Volumes of distribution and clearances were found to be elevated in people living with CF. These increases were larger in studies which included patients with pulmonary exacerbations. Differences in clearance were smaller in more recent studies and when results were normalized to body surface area or lean body mass instead of body weight. For the physiological parameters investigated, measured glomerular filtration rate and serum cytokine concentrations were found to be elevated in people living with CF, whereas serum albumin and creatinine levels were decreased. Possible pathophysiological mechanisms for these alterations relate to renal hyperfiltration, increases in free fraction, and inflammation. No differences were detected for cardiac output, body fat, fat free mass, hematocrit, creatinine clearance, and the activity of drug metabolizing enzymes. These findings imply that, in general, lower total plasma concentrations of drugs can be expected in people living with CF, especially when pulmonary exacerbations are present. Given the potential effect of CF on plasma protein binding and the variability in outcome observed between studies, the clinical relevance of adapting existing dosage regimens should be evaluated on a case-by-case basis.
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http://dx.doi.org/10.1002/psp4.12832 | DOI Listing |
Introduction: Transgender individuals may face familial and social hostility, leading to distress that significantly affects their well-being. This study aims to understand life course challenges experienced by transgender people since childhood.
Method: Cross-sectional study, including 20 transgender people.
J Appl Gerontol
January 2025
Department of Health Behavior, School of Public Health, Texas A & M University, College Station, TX, USA.
This study investigated the relationship between different intensities of leisure-time physical activity (LTPA) (i.e., vigorous LTPA vs.
View Article and Find Full Text PDFTurk Kardiyol Dern Ars
January 2025
Department of Physiotherapy and Rehabilitation, Acıbadem Mehmet Ali Aydınlar University,Faculty of Health Sciences, İstanbul, Türkiye.
Objective: Limited information is available regarding the associations between upper extremity function, activities of daily living (ADLs), and functional capacity in patients with heart failure with reduced ejection fraction (HFrEF). This study aimed to investigate the associations between upper extremity function, ADLs, and functional capacity in patients with HFrEF.
Methods: This cross-sectional study included 31 patients with HFrEF.
J Clin Med
December 2024
Department of Postgraduate Nursing, State University of Maringá, Avenida Colombo, 5790-Campus Universitário, Maringá 87020-900, Brazil.
Evidence suggests that older adults who survived COVID-19 were exposed to greater functional dependence in their daily living activities. This study aims to examine the prevalence of functional dependence and associated factors among Brazilian older people with functional dependence 12 months after COVID-19 infection. A cross-sectional study was carried out involving people aged 60 years or older in the state of Paraná, Brazil.
View Article and Find Full Text PDFSensors (Basel)
January 2025
University of Zagreb, Faculty of Transport and Traffic Sciences, Vukelićeva 4, 10000 Zagreb, Croatia.
The possibilities of the Ambient Assisted Living (AAL)/Enhanced Living Environments (ELE) concept in the environment of a smart home were investigated to improve accessibility and improve the quality of life of a person with disabilities. This paper focuses on the concept of predictive information for a person with disabilities in a smart home environment concept where artificial intelligence (AI) and machine learning (ML) systems use data on the user's preferences, habits, and possible incident situations. A conceptual mathematical model is proposed, the purpose of which is to provide predictive user information from defined data sets.
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