caa a22 4500 606177981 CHVBK 20210128100754.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s11136-013-0550-2 doi (NATIONALLICENCE)springer-10.1007/s11136-013-0550-2 Joint models for predicting transplant-related mortality from quality of life data [Elektronische Daten] [Norma Terrin, Angie Rodday, Susan Parsons] Purpose: To test whether longitudinally measured health-related quality of life (HRQL) predicts transplant-related mortality (TRM) in pediatric hematopoietic stem cell transplant (HSCT). Methods: The predictors of interest were emotional functioning, physical functioning, role functioning, and global HRQL, as rated by the parent about the child up to 6 times over 12months of follow-up and measured by the Child Health Ratings Inventories. We used joint models, specifically shared parameter models, with time to TRM as the outcome of interest and other causes of mortality as a competing risk, via the JM software package in R. Choosing shared parameter models instead of standard survival models, such as Cox models with time-dependent covariates, enabled us to address measurement error in the HRQL trajectories and appropriately handle missing data. The nonlinear trajectories for each HRQL domain were modeled by random spline functions. The survival submodels were adjusted for baseline patient, family, and transplant characteristics. Results: Hazard ratios per one-half standard deviation difference in emotional, physical, and role functioning, and global HRQL were 0.61 (95% CI 0.46-0.81; p<0.001), 0.70 (0.51-0.96; p=0.03), 0.54 (0.34-0.85; p=0.007), and 0.57 (0.41-0.79; p<0.001), respectively. Conclusions: HRQL trajectories were predictive of TRM in pediatric HSCT, even after adjusting the survival outcome for baseline characteristics. Springer Science+Business Media Dordrecht, 2013 Hematopoietic stem cell transplant nationallicence Health-related quality of life nationallicence Joint model for longitudinal and time-to-event outcomes nationallicence Shared parameter model nationallicence Transplant-related mortality nationallicence Survival nationallicence Terrin Norma Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Box # 063, 02111, Boston, MA, USA aut Rodday Angie Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Box # 063, 02111, Boston, MA, USA aut Parsons Susan Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Box # 063, 02111, Boston, MA, USA aut Quality of Life Research Springer International Publishing 24/1(2015-01-01), 31-39 0962-9343 24:1<31 2015 24 11136 https://doi.org/10.1007/s11136-013-0550-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11136-013-0550-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Terrin Norma Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Box # 063, 02111, Boston, MA, USA aut NATIONALLICENCE 700 1- Rodday Angie Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Box # 063, 02111, Boston, MA, USA aut NATIONALLICENCE 700 1- Parsons Susan Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Box # 063, 02111, Boston, MA, USA aut NATIONALLICENCE 773 0- Quality of Life Research Springer International Publishing 24/1(2015-01-01), 31-39 0962-9343 24:1<31 2015 24 11136