Alishiri GH et al. – Suggested models presented in this study can be used to predict poor physical and mental health related quality of life (HRQOL) separately among RA patients using simple variables with acceptable accuracy. These models can be of use in the clinical decision-making and for better management of RA patients. Methods
Study to develop two logistic regression models for predicting physical and mental HRQOL among RA pts
A cross-sectional study; short form 36 (SF-36) was used for HRQOL measurements in 411 RA pts
First quartiles of SF-36 physical and mental component scores (33.4 and 36.8, respectively) was used for cutoff point to define poor vs good HRQOL
Two distinct logistic regression models were used to derive predictive variables
The sensitivity, specificity, and accuracy of each model were calculated
Results
Poor physical HRQOL was positively associated with pain score, disease duration, income below 300 US$, comorbidity, PGA, and depression
Variables for poor mental HRQOL prediction model were income below 300 US$, comorbidity, PGA, and bodily pain
Optimal sensitivity and specificity were achieved at a cutoff point of 0.39 for poor physical HRQOL and 0.18 for mental HRQOL
Sensitivity, specificity, and accuracy of the physical and mental models were 73.8, 87, 83.7% and 90.38, 70.36, 75.43%, respectively
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