Can a composite analysis of autonomic and vascular signals predict cardiovascular risk? – The ASI approach

Introduction: Analysis of multiple continuous physiological signals obtained during sleep may provide a novel method to assess cardiovascular (CV) risk. The novel autonomic state indicator (ASI) algorithm combines information from arterial oxygen saturation (SpO2) and a photoplethysmographic pulse wave signal and computes a CV risk index. Methods: Subjects (n=327, 227 male, age 55,1±13,6yrs, BMI 30,1±6,4kg/m2) referred to five sleep centers in Germany and Sweden were studied. The occurrence of CV risk factors was assessed and subjects were classified by four established CV risk matrixes (Framingham, EU-SCORE, PR…