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Molecular marker group for judging prognosis of aortic dissection

A technology of aortic dissection and diagnostic markers, applied in the field of medicine and biology, can solve problems such as unknown long-term predictive value

Active Publication Date: 2018-11-13
BEIJING INST OF HEART LUNG & BLOOD VESSEL DISEASES
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Previous studies have reported that D-dimer, CRP and NT-proBNP can predict in-hospital death in AAAD patients, but there are certain limitations, and the long-term predictive value is unknown

Method used

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  • Molecular marker group for judging prognosis of aortic dissection
  • Molecular marker group for judging prognosis of aortic dissection
  • Molecular marker group for judging prognosis of aortic dissection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Example 1. Differential verification of molecular markers for judging the prognosis of aortic dissection

[0045] A total of 418 patients with aortic dissection were selected and followed up for a median time of 19.8 months. According to the results of the follow-up, the patients were divided into a no-event group and an event group for ELISA experiments on serum protein markers. The corresponding RayBiotech HumanELISA Kit was used to detect 9 The expression level of this protein factor was verified to verify whether the histone factor can effectively predict the prognosis of patients with aortic dissection.

[0046] Experimental steps:

[0047] 1. Reagent preparation

[0048] (1) Equilibrate the kit and samples to room temperature (18-25°C);

[0049] (2) Samples According to the pre-test results, the serum samples of the persons to be tested were diluted according to the multiples shown in Table 1 below.

[0050] Table 1. Dilution factors when detecting different di...

Embodiment 2

[0100] Example 2. Large sample verification of molecular markers for aortic dissection prognosis judgment

[0101] Select 271 cases of patients with aortic dissection in other hospitals, conduct ELISA experiments on serum protein markers, use the corresponding RayBiotech Human ELISA Kit, detect the expression levels of the two protein factors OPG and TRAIL selected in Example 1, and verify whether the OTD model is effective Prediction of prognosis in patients with aortic dissection.

[0102] The experimental steps are as follows:

[0103] 1. Reagent preparation

[0104] (1) Equilibrate the kit and samples to room temperature (18-25°C);

[0105] (2) Samples According to the pre-test results, the serum samples of the persons to be tested were diluted according to the multiples shown in Table 2 below.

[0106] Table 2. Dilution multiples when detecting different diagnostic markers

[0107] detection target

Dilution factor

TRAIL

1.5

OPG

5 ...

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Abstract

The present invention relates to a molecular marker group for judging prognosis of aortic dissection. The molecular marker is a protein factor; the protein factor is TRAIL (TNF-related apoptosis inducing ligand), OPG (osteoprotegerin) and D-dimer. A judging method is characterized in that the score (LP) of one-year death risk is -5.2903+0.9318*Ln(OPG / TRAIL)+0.5227*Ln(D-dimer); the occurrence probability of one-year poor adverse effect (one-year risk of all-cause mortality) is 1-0.947^exp{LP}.

Description

technical field [0001] The invention belongs to the technical field of medicine and biology, and specifically relates to a group of molecular markers for judging the prognosis of aortic dissection. Background technique [0002] Aortic dissection (AD) is a common critical cardiovascular disease. It is a potentially fatal disease caused by local or diffuse abnormal expansion of the aortic wall and compression of surrounding organs. At present, the diagnosis of aortic dissection mainly relies on imaging examination, but it lacks convenience. Therefore, the diagnosis, prevention and prediction of aortic dissection using effective laboratory test items has become a very active research field, and more importantly, it is to monitor and predict the evolution of the disease over time and evaluate the clinical risk. [0003] Aortic dissection is one of the most dangerous aortic diseases, but there are no good clinical biomarkers to predict its adverse outcome. Biomarkers can shorte...

Claims

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Application Information

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IPC IPC(8): G01N33/558G16H50/30
CPCG01N33/558G01N2800/329G01N2800/50G16H50/30
Inventor 杜杰李玉琳卢洁刘卓惠
Owner BEIJING INST OF HEART LUNG & BLOOD VESSEL DISEASES
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