PT - JOURNAL ARTICLE AU - Christian Strassberger AU - Ding Zou AU - Thomas Penzel AU - Ingo Fietze AU - Jan Hedner AU - Joachim Ficker AU - Winfried Randerath AU - Bernd Sanner AU - Dirk Sommermeyer AU - Ludger Grote TI - Pulse wave analysis for recognition of cardiovascular risk in sleep apnea patients AID - 10.1183/13993003.congress-2020.2513 DP - 2020 Sep 07 TA - European Respiratory Journal PG - 2513 VI - 56 IP - suppl 64 4099 - http://erj.ersjournals.com/content/56/suppl_64/2513.short 4100 - http://erj.ersjournals.com/content/56/suppl_64/2513.full SO - Eur Respir J2020 Sep 07; 56 AB - Introduction: Emerging evidence suggests that pulse wave analysis during sleep may be used to assess cardiovascular (CV) function and risk. We compared the association of pulse wave derived parameters and conventional polysomnographic (PSG) indices with elevated CV risk.Methods: In this multi-centric study (n=492, age 57±13 yrs, 68% male, BMI 30±6 kg/m²), patients with diagnosed obstructive sleep apnea (OSA) underwent an overnight PSG recording, including the pulse wave assessed by finger pulse oximetry. A novel pulse wave derived CV risk index (CRI), consisting of independent features such as vascular stiffness, heart rate variability, autonomic tone and degree of hypoxia, was derived. A recognized CV risk matrix (European Society of Cardiology/Hypertension, ESC/ESH) was used to define a binary outcome variable of high/low added CV risk. To assess sensitivity and specificity, area under the receiver operating characteristic curve (AUC) was compared to a reference model, containing age, gender, and BMI, by means of multivariate logistic regression.Results: The reference model already had a strong performance in classification of high CV risk (AUC = 0.819). In addition, Apnea-Hypopnea Index (AHI), Oxygen Desaturation Index (ODI) and CRI all independently (AHI: p=0.002, ODI: p=0.001, CRI: p<0.001) predicted high CV risk. However, only CRI but not AHI or ODI significantly improved the performance of CV risk prediction (improvement AUC; AHI: p=0.226, ODI: p=0.19, CRI: p=0.012).Conclusion: Pulse wave derived CRI was associated with high ESC/ESH risk. Compared with the AHI or ODI obtained by PSG, pulse wave analysis during sleep provides a more powerful method to reflect high CV risk in OSA patients.FootnotesCite this article as: European Respiratory Journal 2020; 56: Suppl. 64, 2513.This abstract was presented at the 2020 ERS International Congress, in session “Respiratory viruses in the "pre COVID-19" era”.This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).