Abstract
Obstructive sleep apnoea (OSA) is associated with reduced quality of life and increased risk of developing cardiovascular disease. The cornerstone parameter for diagnosing and assessing disease severity is the apnoea-hypopnea index (AHI); however, this index is insufficient for capturing the complexity of the disease. This is because AHI is poorly correlated to some of the major symptoms of OSA, excessive daytime sleepiness and risk of cardiovascular events. Thus, new and more personalized approaches, such as cluster analysis, are currently under investigation to better define individual patient risk of complications and optimize treatment benefits.
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