This study aims to validate the feasibility and accuracy of a novel gas detection method for dyslipidemia screening by analyzing the lipid profile of human breath metabolites. It explores a simple, rapid, and non-invasive method for screening dyslipidemia. The application prospects of this method are broad; it can be used not only for early screening and monitoring of dyslipidemia in hospitals and communities, providing strong support for the prevention of cardiovascular diseases, but also for the routine monitoring and treatment effectiveness evaluation of patients with hyperlipidemia, offering a scientific basis for personalized treatment plans. This study not only has profound scientific value but also provides a theoretical basis for the development of subsequent new clinical testing methods.
Study Type
OBSERVATIONAL
Enrollment
1,000
Multidimensional Mass Spectrometry Technologies Based on Exhaled Metabolic Fingerprint Spectra for Dyslipidemia Detection
Beijing Anzhen hospital
Beijing, Beijing Municipality, China
accuracy of cholesterol testing
Time frame: within 1 week day of sample collection
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