In step 1, the following 3 FCE tests predicted WC: repetitive reaching, walking speed, and the SED score (data from step 1 are

available on request). The regression coefficients of the 3 FCE tests in the model decreased from step GSK126 2 to step 3 by −.05 for repetitive reaching, −5.45 for walking speed, and −1.76 for SED score. From all 18 predictor variables, 9 (age, sex, body mass index, marital status, duration since injury, attorney involved, work status, education, physical work demands) did not change regression coefficients of the 3 FCE test variables by >10% and were therefore not considered for the next step. In step 4, the remaining 9 predictor variables (WC at baseline, mother language, number of prior injuries, pain level, perceived recovery, perceived functional ability, disability, anxiety, depression), together with the 3 FCE tests and ln (weeks+1), were entered in the model (see table 2, step 3). None of the FCE tests remained significant predictors of future WC. Therefore, FCE tests were excluded from the final model. The final prognostic model included ln (weeks+1) (β=23.74), mother language (β=5.49), WC at baseline (β=1.01), and self-reported disability (β=−.20). All the 2-way interactions between these 4 predictors were explored. Two interactions terms were significant: Time course mediates WC and self-reported disability, as those 2 interaction terms

remained significant. TCL Overall, time course and mother language were the predictors with the highest regression coefficients. Nutlin-3a order To facilitate interpretation of the results of the linear mixed-model analysis, 2 clinical examples were calculated (appendix 2). We conducted a prospective cohort study to determine the prognostic ability of FCE tests to predict WC, and developed a predictive model in a cohort of patients with WADs. Correlation coefficients between FCE tests and WC were <0.4 at baseline

and decreased over the follow-up period. In the multivariate model, outcomes of FCE tests do not predict future WC. Our final model suggested that the strongest predictors were time course, mother language, baseline WC, and self-reported disability. We recommend monitoring variables with the best predictive capacity in those patients who fail to improve in the transition from the acute to the chronic stage of the disorder.31 Values of the prognostic variables identified in this study can easily be recorded. In addition to WC at baseline, NDI scores and mother language were independent predictors. Whereas the NDI was also predictive in other populations and settings, the importance of the mother language may be specific for this rehabilitation setting.29 and 32 Immigrants with different mother languages (ie, cultural backgrounds) form a large part of the workforce in Europe and the United States.