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Potential Biomarkers for Early Diagnosis of Acute Aortic Dissection

Potential Biomarkers for Early Diagnosis of Acute Aortic Dissection

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01860768
Enrollment
200
Registered
2013-05-23
Start date
2013-05-31
Completion date
2014-04-30
Last updated
2013-05-27

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Aortic Dissection, Biomarkers and Early Diagnosis

Keywords

Acute aortic dissection, Serum biomarkers, Early diagnosis

Brief summary

Acute aortic dissection (AAD) is an acute vascular lesions with high early misdiagnosis rate(31.8%), and mortality rate was 38%. In recent years, the incidence is rising and serious threat to human health. At present, the clinical diagnosis of AAD commonly used imaging methods, including chest X-ray, B ultrasound, CT, MRI and aortic angiography. Chest X-ray and two-dimensional ultrasound is limited in diagnosis of AAD, esophageal ultrasonography can display the intimal, identify the true and false lumen, but greater risk. CT, MRI and aortic angiography can be used as diagnosis method, but time-consuming, expensive and requires handling patients in emergency situations, should not be used as the preferred. Therefore, it is significance that biomarkers with high specificity and sensitivity for clinical fast diagnosis of AAD. Parts small sample tests found that single serum α-smooth muscle actin (α-SMA), myosin heavy chain(MHC) and human soluble elastin fragments (sELAF) levels in patients with AAD were significantly higher than that of others (normal people, acute myocardial infarction patients). But because of the small study sample, limited control risk factors and incomplete comparison, their conclusions were questionable. In our previous studies also found that serum α-SMA, MHC and sELAF levels and the pathogenesis of AAD and prognosis are closely related. Therefore, on the basis, a prospective study is needed. We observe all the three biomarkers in enrolled patients with acute chest pain in emergency department, levels in healthy volunteers as the blank control. Then make definite diagnosis of the enrolled patients, and further observe the biomarkers dynamic change in AAD. Lastly, evaluate the early diagnostic value of combination serum α-SMA, MHC and sELAF level on patients with AAD.

Detailed description

This is a prospective clinical study designed to procure blood samples from patients who present to the Emergency Department with suspected AAD. Subjects enrolled in this study will sign and informed consent and have 3 blood samples drawn at different time points during their emergency department visit. In addition, data will be collected about the patient's health history, hospital procedures, and final diagnosis. Blood samples collected in this study will be sent to laboratory for long-term storage and analysis in the future for these blood markers as they become available. No genetic testing will be conducted on these samples.

Interventions

None listed

Sponsors

Central South University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* chest pain without diagnosis confirmed * symptom occurred in 2 hours * ≥18 years old * Can complete the base information * Able and willing to give written consent

Exclusion criteria

* known AAD * known causes of acute chest pain such as tumour and trauma * pregnant or lactating female * Associated chronic inflammatory diseases

Design outcomes

Primary

MeasureTime frame
Diagnostic accuracy(sensitivity and specificity of 400 participates for diagnosing acute aortic dissection) of serum biomarkers on patients with AAD.1 day (Emergency room without follow-up)

Countries

China

Contacts

Primary ContactCHAI Xiangping, MD
fenghuaxuepiao@qq.com+86-13787204259

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026