A multiphysics/multiscale 2D numerical simulation of scaffold-based cartilage regeneration under interstitial perfusion in a bioreactor

In vitro tissue engineering is investigated as a potential source of functional tissue constructs for cartilage repair, as well as amodel system for controlled studies of cartilage development and function. Among the different kinds of devices for the cultivation of 3Dcartilage cell colonies,we consider here polymeric scaffold-based perfusion bioreactors, where an interstitial fluid supplies nutrients and oxygen to the growing biomass. At the same time, the fluid-induced shear acts as a physiologically relevant stimulus for the metabolic activity of cells, provided that the shear stress level is appropriately tuned. In this complex environment, mathematical and computational modeling can help in the optimal design of the bioreactor configuration. In this perspective, we propose a computational model for the simulation of the biomass growth, under given inlet and geometrical conditions, where nutrient concentration, fluid dynamic field and cell growth are consistently coupled. The biomass growth model is calibrated with respect to the shear stress dependence on experimental data using a simplified short-time analysis in which the nutrient concentration and the fluid-induced shear stress are assumed constant in time and uniform in space. Volume averaging techniques are used to derive effective parameters that allow to upscale the microscopic structural properties to the macroscopic level. The biomass growth predictions obtained in this way are significant for long times of culture

A multiphysics/multiscale 2D numerical simulation of scaffold-based cartilage regeneration under interstitial perfusion in a bioreactor

In vitro tissue engineering is investigated as a potential source of functional tissue constructs for cartilage repair, as well as amodel system for controlled studies of cartilage development and function. Among the different kinds of devices for the cultivation of 3Dcartilage cell colonies,we consider here polymeric scaffold-based perfusion bioreactors, where an interstitial fluid supplies nutrients and oxygen to the growing biomass. At the same time, the fluid-induced shear acts as a physiologically relevant stimulus for the metabolic activity of cells, provided that the shear stress level is appropriately tuned. In this complex environment, mathematical and computational modeling can help in the optimal design of the bioreactor configuration. In this perspective, we propose a computational model for the simulation of the biomass growth, under given inlet and geometrical conditions, where nutrient concentration, fluid dynamic field and cell growth are consistently coupled. The biomass growth model is calibrated with respect to the shear stress dependence on experimental data using a simplified short-time analysis in which the nutrient concentration and the fluid-induced shear stress are assumed constant in time and uniform in space. Volume averaging techniques are used to derive effective parameters that allow to upscale the microscopic structural properties to the macroscopic level. The biomass growth predictions obtained in this way are significant for long times of culture

A Spanish adaptation of the Quality in Psychiatric Care – Inpatient Staff (QPC-IPS) instrument : Psychometric properties and factor structure

Background. Western countries share an interest in evaluating quality of care in the healthcare field. In spite of this, there is a lack of intercultural comparison of the perceptions of professionals. One reason for this may be the lack of standardized instruments. The objective of this study was to investigate the psychometric properties and dimensions of the Spanish version of the Quality in Psychiatric Care-Inpatients Staff (QPC-IPS) instrument. Methods. After translation and revision of the instrument by a panel of experts, a questionnaire was obtained in Spanish that was administered to a pilot sample. A total of 163 professionals participated in the study. Results. After conducting pilot testing and a cognitive interview with 30 professionals, it was determined that the QPC-IPS was adequate and could be self-administered. Confirmatory factor analysis confirmed six factors that explained 60.9% of the variation. In terms of internal consistency, a Cronbach’s alpha of 0.92 was obtained for the full instrument. For test re-test reliability, the intraclass correlation coefficient for the overall questionnaire was 0.91. Convergent validity was analyzed using the NTP394 satisfaction instrument, yielding a positive correlation (0.58). Conclusions. The results demonstrated that the psychometric properties in terms of internal consistency, temporal stability (test-retest), content validity, and construct validity (confirmatory factor analysis) were adequate. These results confirm that the structure of the Spanish version is similar to the original Swedish version of the QPC-IP.Funding agencies:Hospital Universitario Marques de ValdecillaAsociacion Nacional de Enfermeria de Salud MentalFundacio Privada per a la Recerca i la Docencia Sant Joan de Deu FSJDNurse and Society Foundation under Nurse Research Projects PR011/16</p