ClinicalTrials.gov
public full text
Public Domain
BREVOC Study: Exhaled VOCs for High-Risk Chest Pain in the ED
Study Objectives 1. Screening and identification of diagnostic biomarkers: To establish the exhaled volatile organic compound (VOC) profile of patients with acute high-risk chest pain and to differentiate high-risk chest pain patients. 2. Exploration of aldehyde detection: To investigate the role of exhaled aldehyde detection in high-risk chest pain patients; to establish and validate an early differential diagnostic model of exhaled VOCs for high-risk chest pain, thereby optimizing emergency triage procedures. 3. Prognostic evaluation: To assess the predictive value of VOC concentration changes for in-hospital mortality and major adverse cardiovascular events (MACE) in high-risk chest pain patients. 4. Novel diagnostic markers: To explore new biomarker combinations superior to conventional diagnostic indicators. Study Hypotheses 1. High-risk chest pain patients present a VOC profile distinct from that of healthy individuals and patients with other causes of chest pain. 2. Baseline levels and early changes of exhaled VOCs can achieve both rapid diagnosis and risk stratification. 3. Exhaled VOCs can predict the prognosis of high-risk chest pain patients. Sample Size Calculation This is an exploratory study, aiming to enroll all patients presenting with acute chest pain to the emergency department of our hospital between May 2025 and June 2026. Based on prior studies, the primary endpoint is assessed using area under the receiver operating characteristic curve (AUC-ROC) analysis, with α = 0.05 and 1-β = 0.90. The expected model AUC is 0.75, compared to a minimum acceptable AUC of 0.65. Assuming a group ratio of 1:2 (high-risk: non-high-risk), Power Analysis and Sample Size (PASS) software estimates a minimum sample size of approximately 1,320 patients. To enable subgroup analyses (e.g., acute coronary syndrome \[ACS\], pulmonary embolism \[PE\], aortic dissection \[AD\]) and the construction of multivariable predictive models, at least 150-300 patients per subgrou
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Diagnostic Breath Analysis Study to Detect Sepsis#913430
- Fractional Exhaled Nitric Oxide and Exacerbations of COPD#1074890
- Accuracy Assessment of a Novel Gas Detection Approach in Dyslipidemia Diagnosis#844204
- The Detrimental Course of Acute Intestinal Ischemia#874995
- Comparison of On-line and Off-line Measurements of Exhaled Nitric Oxide (NO)#967465
Record · ID 832957
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive