Dyslipidemias, Gas Detection Method
Conditions
Brief summary
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.
Interventions
DIAGNOSTIC_TESTa novel gas detection method for dyslipidemia screening
Multidimensional Mass Spectrometry Technologies Based on Exhaled Metabolic Fingerprint Spectra for Dyslipidemia Detection
Sponsors
Beijing Anzhen Hospital
Study design
Observational model
ECOLOGIC_OR_COMMUNITY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
1. Age ≥ 18 years 2. Voluntarily signed the informed consent form
Exclusion criteria
1. Patients with lung cancer, asthma, chronic obstructive pulmonary disease, pulmonary cystic fibrosis, or acute respiratory distress syndrome 2. Women who are pregnant or breastfeeding 3. Patients with chronic kidney disease (GFR \< 60 ml/min) or cirrhosis 4. Individuals unable to cooperate with the collection of exhaled gas samples
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| accuracy of cholesterol testing | within 1 week day of sample collection |
Countries
China
Outcome results
None listed