TY - JOUR
T1 - Development of prognostic models for Health-Related Quality of Life following traumatic brain injury
AU - Helmrich, Isabel R.A.Retel
AU - van Klaveren, David
AU - Dijkland, Simone A.
AU - Lingsma, Hester F.
AU - Polinder, Suzanne
AU - Wilson, Lindsay
AU - von Steinbuechel, Nicole
AU - van der Naalt, Joukje
AU - Maas, Andrew I.R.
AU - Steyerberg, Ewout W.
AU - CENTER-TBI collaborators
AU - Foks, Kelly
AU - Gravesteijn, Benjamin
AU - Haagsma, Juanita
AU - Haitsma, Iain
AU - Huijben, Jilske
AU - Kompanje, Erwin
AU - Lingsma, Hester
AU - Mikolic, Ana
AU - Nieboer, Daan
AU - Pisica, Dana
AU - Polinder, Suzanne
AU - Sewalt, Charlie
AU - Steyerberg, Ewout
AU - Tibboel, Dick
AU - Timmers, Marjolein
AU - van der Jagt, Mathieu
AU - van Veen, Ernest
AU - Velt, Kimberley
AU - Volovici, Victor
AU - Voormolen, Daphne
AU - Wiegers, Eveline
N1 - Funding Information: The research leading to these results was supported by the European Union’s Seventh Framework Programme (FP7/2007-2013) under Grant Agreement n° 602150 (CENTER-TBI). Additional funding was obtained from the Hannelore Kohl Stiftung (Germany), from OneMind (USA), and from Integra LifeSciences Corporation (USA).
Publisher Copyright: © 2021, The Author(s).
PY - 2022/2
Y1 - 2022/2
N2 - Background: Traumatic brain injury (TBI) is a leading cause of impairments affecting Health-Related Quality of Life (HRQoL). We aimed to identify predictors of and develop prognostic models for HRQoL following TBI. Methods: We used data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Core study, including patients with a clinical diagnosis of TBI and an indication for computed tomography presenting within 24 h of injury. The primary outcome measures were the SF-36v2 physical (PCS) and mental (MCS) health component summary scores and the Quality of Life after Traumatic Brain Injury (QOLIBRI) total score 6 months post injury. We considered 16 patient and injury characteristics in linear regression analyses. Model performance was expressed as proportion of variance explained (R2) and corrected for optimism with bootstrap procedures. Results: 2666 Adult patients completed the HRQoL questionnaires. Most were mild TBI patients (74%). The strongest predictors for PCS were Glasgow Coma Scale, major extracranial injury, and pre-injury health status, while MCS and QOLIBRI were mainly related to pre-injury mental health problems, level of education, and type of employment. R2 of the full models was 19% for PCS, 9% for MCS, and 13% for the QOLIBRI. In a subset of patients following predominantly mild TBI (N = 436), including 2 week HRQoL assessment improved model performance substantially (R2 PCS 15% to 37%, MCS 12% to 36%, and QOLIBRI 10% to 48%). Conclusion: Medical and injury-related characteristics are of greatest importance for the prediction of PCS, whereas patient-related characteristics are more important for the prediction of MCS and the QOLIBRI following TBI.
AB - Background: Traumatic brain injury (TBI) is a leading cause of impairments affecting Health-Related Quality of Life (HRQoL). We aimed to identify predictors of and develop prognostic models for HRQoL following TBI. Methods: We used data from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Core study, including patients with a clinical diagnosis of TBI and an indication for computed tomography presenting within 24 h of injury. The primary outcome measures were the SF-36v2 physical (PCS) and mental (MCS) health component summary scores and the Quality of Life after Traumatic Brain Injury (QOLIBRI) total score 6 months post injury. We considered 16 patient and injury characteristics in linear regression analyses. Model performance was expressed as proportion of variance explained (R2) and corrected for optimism with bootstrap procedures. Results: 2666 Adult patients completed the HRQoL questionnaires. Most were mild TBI patients (74%). The strongest predictors for PCS were Glasgow Coma Scale, major extracranial injury, and pre-injury health status, while MCS and QOLIBRI were mainly related to pre-injury mental health problems, level of education, and type of employment. R2 of the full models was 19% for PCS, 9% for MCS, and 13% for the QOLIBRI. In a subset of patients following predominantly mild TBI (N = 436), including 2 week HRQoL assessment improved model performance substantially (R2 PCS 15% to 37%, MCS 12% to 36%, and QOLIBRI 10% to 48%). Conclusion: Medical and injury-related characteristics are of greatest importance for the prediction of PCS, whereas patient-related characteristics are more important for the prediction of MCS and the QOLIBRI following TBI.
UR - http://www.scopus.com/inward/record.url?scp=85121793878&partnerID=8YFLogxK
U2 - 10.1007/s11136-021-02932-z
DO - 10.1007/s11136-021-02932-z
M3 - Article
C2 - 34331197
AN - SCOPUS:85121793878
SN - 0962-9343
VL - 31
SP - 451
EP - 471
JO - Quality of Life Research
JF - Quality of Life Research
IS - 2
ER -
