Jianyin Zou

TL;DR: Multiple metabolites and metabolic pathways associated with SS and OSA were identified using the metabolomics approach, and the altered metabolite signatures could potentially serve as an alternative diagnostic method to PSG.

TL;DR: The authors' simple-to-use nomogram model showed good discrimination and calibration in terms of predicting OSA, and had a C-index value of 0.839 according to the internal validation, which will help physicians better make decisions on PSG arrangement for patients referred to sleep center.

TL;DR: It was demonstrated that patients with OSA had a higher percentage of dyslipidemia than subjects without OSA and of the various components in serum lipid, only LDL-C was independently associated with Osa.

TL;DR: Sleep fragmentation in OSA is independently associated with hyper-LDL cholesterolemia, which may predispose patients with OSA to a higher risk of cardiovascular disease.

TL;DR: The multistage and non-monotonic relationships between OSA and dyslipidaemia are revealed and a new interpretive and predictive strategy for dynamic assessment of the risk progression over the clinical course of OSA is suggested.