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Pulse wave amplitude drops during sleep: clinical significance and characteristics in a general population sample

Camila Hirotsu, Monica Betta, Giulio Bernardi, Pedro Marques‐Vidal, Péter Vollenweider, Gérard Waeber, Vincent Pichot, Frédéric Roche, Francesca Siclari, José Haba‐Rubio, Raphaël Heinzer

2020SLEEP48 citationsDOIOpen Access PDF

Abstract

STUDY OBJECTIVES: To explore the clinical significance of pulse wave amplitude (PWA)-drops during sleep as a biomarker for cardiometabolic disorders and describe their main characteristics in a general population sample. METHODS: Cross-sectional study of HypnoLaus cohort, in which 2162 individuals underwent clinical assessment and in-home full polysomnography. PWA-drops were derived from photoplethysmography and processed using a validated automated algorithm. Associations between PWA-drop features (index, mean duration, and mean area under the curve [AUC]) with hypertension, diabetes, and previous cardiovascular (CV) event were analyzed using multivariable-adjusted logistic regression. RESULTS: Two thousand one hundred forty-nine participants (59 ± 11 years, 51% women, 9.9% diabetes, 41.3% hypertension, 4.4% CV event) were included. Mean ± standard deviation (SD) of PWA-drop index, duration, and AUC during sleep were 51.0 ± 20.3 events/hour, 14.0 ± 2.7 seconds, and 527±115 %seconds, respectively. PWA-drop index was lower in women and decreased with age, while its mean duration and AUC increased in men and elderly. Overall, lower PWA-drop index, longer duration and greater AUC were associated with increased odds of hypertension, diabetes, or CV event after adjustment for confounders. Participants in the lowest quartile of mean duration-normalized PWA-drop index had a significantly higher odds ratio (OR) of hypertension (OR = 1.60 [1.19-2.16]), CV event (OR = 3.26 [1.33-8.03]), and diabetes (OR = 1.71 [1.06-2.76]) compared to those in the highest quartile. Similar results were observed for mean AUC-normalized PWA-drop index regarding hypertension (OR = 1.59 [1.19-2.13]), CV event (OR = 2.45 [1.14-5.26]) and diabetes (OR = 1.76 [1.10-2.83]). CONCLUSIONS: PWA-drop features during sleep seem to be an interesting biomarker independently associated with cardiometabolic outcomes in the general population.

Topics & Concepts

MedicineQuartileLogistic regressionDiabetes mellitusInternal medicinePopulationConfoundingArea under the curveConfidence intervalEndocrinologyEnvironmental healthNon-Invasive Vital Sign MonitoringObstructive Sleep Apnea ResearchSleep and related disorders