Pulse arrival time, a novel sleep cardiovascular marker: The multi-ethnic study of atherosclerosis

Younghoon Kwon, Christopher Wiles, B. Eugene Parker, Brian R. Clark, Min Woong Sohn, Sara Mariani, Jin Oh Hahn, David R. Jacobs, James H. Stein, Joao Lima, Vishesh Kapur, Andrew Wellman, Susan Redline, Ali Azarbarzin

Research output: Contribution to journalArticlepeer-review

9 Citations (SciVal)

Abstract

Background Pulse arrival time (PAT) is commonly used to estimate blood pressure response. We hypothesised that PAT response to obstructive respiratory events would be associated with increased cardiovascular risk in people with obstructive sleep apnoea. Methods PAT, defined as the time interval between electrocardiography R wave and pulse arrival by photoplethysmography, was measured in the Multi-Ethnic Study of Atherosclerosis Sleep study participants. The PAT response to apnoeas/hypopnoeas was defined as the area under the PAT waveform following respiratory events. Cardiovascular outcomes included markers of subclinical cardiovascular disease (CVD): left ventricular mass, carotid plaque burden score and coronary artery calcification (CAC) (cross-sectional) and incident composite CVD events (prospective). Multivariable logistic and Cox proportional hazard regressions were performed. Results A total of 1407 participants (mean age 68.4 years, female 47.5%) were included. Higher PAT response (per 1 SD increase) was associated with higher left ventricular mass (5.7 g/m 2 higher in fourth vs first quartile, p<0.007), higher carotid plaque burden score (0.37 higher in fourth vs first quartile, p=0.02) and trended to greater odds of CAC (1.44, 95% CI 0.98 to 2.15, p=0.06). A total of 65 incident CVD events were observed over the mean of 4.1 (2.6) years follow-up period. Higher PAT response was associated with increased future CVD events (HR: 1.20, 95% CI 1.02 to 1.42, p=0.03). Conclusion PAT is independently associated with markers of subclinical CVD and incident CVD events. Respiratory-related PAT response is a novel and promising polysomnography metric with cardiovascular implications.

Original languageEnglish
Pages (from-to)1124-1130
Number of pages7
JournalThorax
Volume76
Issue number11
DOIs
StatePublished - Nov 1 2021

Bibliographical note

Funding Information:
Funding This research was supported by contracts 75N92020D00001, HHSN268201500003I, N01-HC-95159, 75N92020D00005, N01-HC-95160, 75N92020D00002, N01-HC-95161, 75N92020D00003, N01-HC-95162, 75N92020D00006, N01-HC-95163, 75N92020D00004, N01-HC-95164, 75N92020D00007, N01-HC-95165, N01-HC-95166, N01-HC-95167, N01-HC-95168 and N01-HC-95169 from the National Heart, Lung, and Blood Institute, and by grants UL1-TR-000040, UL1-TR-001079, and UL1-TR-001420 from the National Centre for Advancing Translational Sciences (NCATS). A full list of participating MESA investigators and institutions can be found at http://www. mesa-nhlbi.org. This publication was developed under the Science to Achieve Results (STAR) research assistance agreements, No. RD831697 (MESA Air) and RD-83830001 (MESA Air Next Stage), awarded by the US Environmental Protection Agency. It has not been formally reviewed by the EPA. YK, AA and SM were supported by NIH R21HL140432. AA was supported by the NIH R01HL153874 American Heart Association (19CDA34660137) and the American Academy of Sleep Medicine Foundation (188-SR-17 SR-17). SR, AW and AA were partially supported by NHLBI R35HL135818.

Publisher Copyright:
© Author(s) (or their employer(s)) 2021.

Keywords

  • clinical epidemiology
  • sleep apnoea

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

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