Patient-reported outcomes helped predict survival in multiple myeloma using partial least squares analysis.
OBJECTIVE
The prognostic value of Patient-Reported Outcomes (PRO) in predicting mortality during treatment of multiple myeloma (MM) patients was assessed using partial least square (PLS) regression, a statistical method that is well-adapted for highly correlated data.


METHODS
Four PRO measures, The European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30, the EORTC QLQ-MY24, the FACIT-Fatigue scale, and the FACT/GOG-Ntx scale, were administered during a trial designed to evaluate the efficacy and safety of bortezomib (VELCADE 1.3mg/m(2)) in MM patients (N=202). Clinical and PRO data were analyzed for predictive value by univariate and multivariate logistic regression methods and then by PLS regression.


RESULTS
Fifteen baseline PRO parameters were significant in predicting mortality during treatment when univariate logistic regression was used. In contrast, only two variables were retained in the multivariate analysis, as correlated variables were excluded from the model. Using PLS regression, 14 of the 21 PRO predictors were significant in predicting mortality. Clinical and PRO data used together increased the predictive power of all models compared to clinical data alone.


CONCLUSIONS
The prognostic value of PRO was established and was more informative using PLS regression. PLS regression may therefore be a valuable method for analyzing PRO data.
Viala
Muriel
M
Mapi Values, Lyon, France. mviala@mapi.fr
Bhakar
Asha L
AL
de la Loge
Christine
C
van de Velde
Helgi
H
Esseltine
Dixie
D
Chang
Mark
M
Dhawan
Ravinder
R
Dubois
Dominique
D
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003071:Cognition; D003627:Data Interpretation, Statistical; D004644:Emotions; D005221:Fatigue / Q000523:psychology; D005260:Female; D006801:Humans; D016018:Least-Squares Analysis; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009101:Multiple Myeloma / Q000188:drug therapy / Q000401:mortality* / Q000503:physiopathology; D010358:Patient Participation; D012372:ROC Curve; D012008:Recurrence; D011795:Surveys and Questionnaires; D016896:Treatment Outcome