50 research outputs found
The same domain motif for ubiquinone reduction in mitochondrial or chloroplast NADH dehydrogenase and bacterial glucose dehydrogenase
Durch Immunelektrophorese nachgewiesene Blockierung prÀzipitierender Anti-Albumin-Antikörper vom Kaninchen in Serummischungen
A dynamic timeâtoâevent model for prediction of acute graftâversusâhost disease in patients after allogeneic hematopoietic stem cell transplantation
Abstract Background Acute graftâversusâhost disease (aGvHD) is a major cause of death for patients following allogeneic hematopoietic stem cell transplantation (HSCT). Effective management of moderate to severe aGvHD remains challenging despite recent advances in HSCT, emphasizing the importance of prophylaxis and risk factor identification. Methods In this study, we analyzed data from 1479 adults who underwent HSCT between 2005 and 2017 to investigate the effects of aGvHD prophylaxis and timeâdependent risk factors on the development of grades IIâIV aGvHD within 100âdays postâHSCT. Results Using a dynamic longitudinal timeâtoâevent model, we observed a nonâmonotonic baseline hazard overtime with a low hazard during the first few days and a maximum hazard at day 17, described by Bateman function with a mean transit time of approximately 11âdays. Multivariable analysis revealed significant timeâdependent effects of white blood cell counts and cyclosporine A exposure as well as static effects of female donors for male recipients, patients with matched related donors, conditioning regimen consisting of fludarabine plus total body irradiation, and patient age in recipients of grafts from related donors on the risk to develop grades IIâIV aGvHD. Additionally, we found that higher cumulative hazard on day 7 after alloâHSCT are associated with an increased incidence of grades IIâIV aGvHD within 100âdays indicating that an individual assessment of the cumulative hazard on day 7 could potentially serve as valuable predictor for later grades IIâIV aGvHD development. Using the final model, stochastic simulations were performed to explore covariate effects on the cumulative incidence over time and to estimate risk ratios. Conclusion Overall, the presented model showed good descriptive and predictive performance and provides valuable insights into the interplay of multiple static and timeâdependent risk factors for the prediction of aGvHD
A dynamic timeâtoâevent model for prediction of acute graftâversusâhost disease in patients after allogeneic hematopoietic stem cell transplantation
Background
Acute graft-versus-host disease (aGvHD) is a major cause of death for patients following allogeneic hematopoietic stem cell transplantation (HSCT). Effective management of moderate to severe aGvHD remains challenging despite recent advances in HSCT, emphasizing the importance of prophylaxis and risk factor identification.
Methods
In this study, we analyzed data from 1479 adults who underwent HSCT between 2005 and 2017 to investigate the effects of aGvHD prophylaxis and time-dependent risk factors on the development of grades IIâIV aGvHD within 100âdays post-HSCT.
Results
Using a dynamic longitudinal time-to-event model, we observed a non-monotonic baseline hazard overtime with a low hazard during the first few days and a maximum hazard at day 17, described by Bateman function with a mean transit time of approximately 11âdays. Multivariable analysis revealed significant time-dependent effects of white blood cell counts and cyclosporine A exposure as well as static effects of female donors for male recipients, patients with matched related donors, conditioning regimen consisting of fludarabine plus total body irradiation, and patient age in recipients of grafts from related donors on the risk to develop grades IIâIV aGvHD. Additionally, we found that higher cumulative hazard on day 7 after allo-HSCT are associated with an increased incidence of grades IIâIV aGvHD within 100âdays indicating that an individual assessment of the cumulative hazard on day 7 could potentially serve as valuable predictor for later grades IIâIV aGvHD development. Using the final model, stochastic simulations were performed to explore covariate effects on the cumulative incidence over time and to estimate risk ratios.
Conclusion
Overall, the presented model showed good descriptive and predictive performance and provides valuable insights into the interplay of multiple static and time-dependent risk factors for the prediction of aGvHD