Correlation of quality of life and functional outcome measures for XXXX .

@entity602 @entity1 @entity3799 @entity158
UNASSIGNED: OBJECT Studies comparing surgical treatments for @entity3799 ( @entity3799 ) are heterogeneous, using a variety of different quality of life (QOL) outcomes and @entity602 -specific measures. This study sought to evaluate the relationship of these measures to each other, and to better understand their use in evaluating @entity1 with @entity3799 . METHODS A retrospective study was performed in all @entity1 with @entity3799 who underwent either ventral or dorsal cervical spine surgery at a single tertiary-care institution between January 2008 and July 2013. Severity of @entity602 was assessed pre- and postoperatively using both the Nurick scale and the modified Japanese Orthopaedic Association (mJOA) classification of disability. Prospectively collected QOL outcomes data included @entity158 Questionnaire (PDQ), @entity1 Health Questionnaire-9 (PHQ-9), and EQ-5D. Spearman rank correlations were calculated to assess the construct convergent validity for each pair of health status measures (HSMs). To assess each HSM's ability to discriminate favorable EQ-5D index, we performed receiver operating characteristic (ROC) curve analysis and assessed the area under the curve (AUC). RESULTS A total of 119 @entity1 were included. The PDQ total score had the highest correlation with EQ-5D index (Spearman's rho = -0.82). Neither of the @entity602 scales (mJOA or Nurick) had strong correlations between themselves (0.41) or with the other QOL measures (absolute value range 0.13-0.49). In contrast, the QOL measures correlated relatively well with each other (absolute value range 0.68-0.97). For predicting favorable EQ-5D outcomes, PDQ total score had an AUC of 0.909. The AUCs were significantly greater for the QOL measures in comparison with the @entity602 measures (AUCs were 0.677 and 0.607 for mJOA and Nurick scale scores, respectively). CONCLUSIONS The authors found that all included measures of QOL and @entity3799 -specific (mJOA or Nurick scale) measures were valid and responsive. The PDQ was the most predictive of positive QOL after surgery (as measured by the EQ-5D index) for @entity1 with @entity3799 . The substantially lower correlation between @entity602 and QOL outcomes, compared with the various QOL measures themselves, suggests that these questionnaires are measuring different aspects of the @entity1 experience. Solely assessing the @entity602 or disease-specific signs and symptoms is likely insufficient to fully understand and appreciate clinical outcome in its totality. These questionnaire types should be used together to best evaluate @entity1 pre- and postoperatively.
