Development and Clinical Validation of Key Technologies for Non-invasive Breath Metabolic Fingerprinting for Large-scale Population Lipid Screening

N/ANot Yet RecruitingNCT07546162

Beijing Anzhen Hospital280 enrolled

Overview

This study collects exhaled breath condensate samples from healthy populations and hyperlipidemic populations, analyzes the characteristics of the exhaled metabolic lipid profile for early identification of people with abnormal blood lipids, verifies the feasibility and accuracy of a new gas detection method for screening abnormal blood lipids, and explores a simple, fast, and non-invasive method for screening abnormal blood lipids.

Study Type

OBSERVATIONAL

Enrollment

280

Conditions

Hyperlipidemia

Interventions

Lipid Abnormality Mass Spectrometry Screening ModelDIAGNOSTIC_TEST

By analyzing the lipid profile in human breath, explore a simple, fast, and non-invasive method for screening dyslipidemia

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: 1. Age ≥ 18 years 2. Voluntarily sign the informed consent form Exclusion Criteria: 1. Patients with lung cancer, asthma, chronic obstructive pulmonary disease, cystic fibrosis, or acute respiratory distress syndrome 2. Women during pregnancy or breastfeeding 3. Patients with chronic kidney disease (GFR \<60 ml/min) or liver cirrhosis 4. Individuals unable to cooperate in collecting exhaled breath samples

Outcomes

Primary Outcomes

Sensitivity , specificity , Receiver Operating Characteristic Curve and Area Under Curve of mass spectrometry screening model for dyslipidemia

Time frame: Week1

Central Contacts

Yan Yan

CONTACT

+861064456782 eva3321@sina.com

Data from ClinicalTrials.gov

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