Hypoxemia During Sleep and the Progression of Coronary Artery Calcium.
Min Young SeoSeung Hoon LeeSang Duk HongSeung-Kyu ChungHyo Yeol KimPublished in: Cardiovascular toxicology (2020)
The aim of this study was to evaluate the associations between objective sleep parameters of obstructive sleep apnea (OSA) and progression of subclinical cardiovascular disease as measured by the coronary artery calcium (CAC) score. We reviewed the medical records of 196 patients who underwent both polysomnography (PSG) and repeated coronary artery computed tomography (CT) for screening purposes. For each participant, the first coronary CT scan was conducted within 12 months of PSG. Follow-up CT was performed voluntarily. The CAC score was log-transformed to obtain normally distributed data. We evaluated potential associations between various sleep parameters by analyzing overnight-attended PSG and CAC score progression over time. ST90 (total sleep time of SaO2 < 90%), CT90 (percentage of time of SaO2 < 90%), and degree of mean oxygen desaturation were significantly correlated with CAC score progression even after adjustment for confounders (age, sex, DM, HTN, hypercholesterolemia, BMI, and smoking status) (estimate = 0.004, p = .010; estimate = 0.009, p < .001; estimate = 0.027, p = .001; respectively). We also performed subgroup analysis and found that the progression of CAC score over time showed higher tendency when CT90 value was 2.73 or more (CT90 ≥ 2.73 group; estimate = 0.336, CT90 < 2.73 group; estimate = 0.194, p < .001 each). ST90, CT90 and mean oxygen desaturation are significant predictors of cardiovascular disease progression. Coronary artery status should be monitored repetitively in patients with hypoxemia during sleep.
Keyphrases
- computed tomography
- coronary artery
- dual energy
- image quality
- contrast enhanced
- positron emission tomography
- obstructive sleep apnea
- pulmonary artery
- cardiovascular disease
- magnetic resonance imaging
- sleep quality
- physical activity
- randomized controlled trial
- end stage renal disease
- machine learning
- chronic kidney disease
- peritoneal dialysis
- atrial fibrillation
- pulmonary arterial hypertension
- heart failure
- electronic health record
- weight gain
- positive airway pressure
- pulmonary hypertension
- climate change
- depressive symptoms
- coronary artery disease
- skeletal muscle
- cardiovascular events
- cardiovascular risk factors