INTRODUCTION: Health-related quality-of-life (HRQL) tests used in sleep apnea-hypopnea syndrome (SAHS) are time-consuming, complicating their application in clinical practice. The objective was to examine the validity and responsiveness of a simple visual analogical well-being scale (VAWS) for the clinical use. METHOD: The subjects proceed from a cohort of SAHS patients treated with CPAP for 12 weeks. We correlated the VAWS with other HRQL tests, related clinical and polysomnographic measures to concurrent and construct validities. Responsiveness by: (1) comparison of HRQL tests between before and after treatment and effect size. (2) Association of the change with treatment between VAWS with other HRQL tests and between VAWS with clinical parameters. RESULTS: At baseline, VAWS correlated with all HRQL tests but better with functional outcomes in sleep questionnaires (FOSQ) and European quality-of-life questionnaire (EuroQol) thermometer. VAWS and FOSQ correlated better with clinical variables than other HRQL tests. VAWS captures the magnitude change with treatment similarly to FOSQ but better than other HRQL tests. CONCLUSION: VAWS is a very simple test which measures HRQL in SAHS. It could be a useful tool in clinical practice, primarily for the responsiveness of treatment.
INTRODUCTION: Health-related quality-of-life (HRQL) tests used in sleep apnea-hypopnea syndrome (SAHS) are time-consuming, complicating their application in clinical practice. The objective was to examine the validity and responsiveness of a simple visual analogical well-being scale (VAWS) for the clinical use. METHOD: The subjects proceed from a cohort of SAHS patients treated with CPAP for 12 weeks. We correlated the VAWS with other HRQL tests, related clinical and polysomnographic measures to concurrent and construct validities. Responsiveness by: (1) comparison of HRQL tests between before and after treatment and effect size. (2) Association of the change with treatment between VAWS with other HRQL tests and between VAWS with clinical parameters. RESULTS: At baseline, VAWS correlated with all HRQL tests but better with functional outcomes in sleep questionnaires (FOSQ) and European quality-of-life questionnaire (EuroQol) thermometer. VAWS and FOSQ correlated better with clinical variables than other HRQL tests. VAWS captures the magnitude change with treatment similarly to FOSQ but better than other HRQL tests. CONCLUSION: VAWS is a very simple test which measures HRQL in SAHS. It could be a useful tool in clinical practice, primarily for the responsiveness of treatment.
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