Establishment method of deep vein thrombosis prediction model based on metabonomics

A technology of deep vein thrombosis and metabolomics, applied in the field of mathematical model establishment, can solve problems such as poor specificity

Active Publication Date: 2021-10-22
SHANXI MEDICAL UNIV
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Problems solved by technology

The existing laboratory test method for deep vein thrombosis is the detection of D-dimer concentration, which has strong sensitivity but poor specificity

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  • Establishment method of deep vein thrombosis prediction model based on metabonomics
  • Establishment method of deep vein thrombosis prediction model based on metabonomics
  • Establishment method of deep vein thrombosis prediction model based on metabonomics

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Embodiment Construction

[0023] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other implementations obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0024] The technical solutions of the present invention will be described in detail below through specific embodiments.

[0025] 1. Sample collection:

[0026] Serum from patients diagnosed with deep vein thrombosis (deep vein thrombosis group) were collected from December 2015 to December 2016 when they were admitted to the hospital or treated in major hospitals in Taiyuan City (deep vein thrombosis group), and collected from healthy people (with age, age, Se...

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Abstract

The invention belongs to the field of deep vein thrombosis prediction in biomedicine, and particularly relates to an establishment method of a deep vein thrombosis prediction model based on metabonomics. The method comprises the following steps: acquiring serum metabolite data sets of a deep vein thrombosis patient and a healthy human body; according to the conditions that VIP is greater than 1 in an orthogonal partial least square discrimination model and a P value is less than 0.05 in an independent sample t test, taking a compound meeting the conditions in the serum small molecule metabolite data set as a characteristic biomarker for deep vein thrombosis; importing the characteristic biomarker data into IBM SPSS software, and establishing a multi-layer sensor model; or importing the characteristic biomarker data into R software, and establishing a random forest model by using a Rattle package. The prediction model established by the method provided by the invention is high in detection sensitivity and good in specificity, and meets the detection requirements of early diagnosis of deep vein thrombosis.

Description

technical field [0001] The invention belongs to the prediction field of deep vein thrombosis in biomedicine, and specifically relates to a method for establishing a mathematical model for predicting deep vein thrombosis based on metabolomics analysis technology. Background technique [0002] Deep vein thrombosis is a disorder of venous blood flow caused by abnormal coagulation of blood in the deep vein cavity, which often occurs in the lower extremities. Thrombus shedding may lead to pulmonary embolism, which is the most common complication of deep vein thrombosis and can be life-threatening in severe cases (50% of pulmonary embolism patients are complicated with deep vein thrombosis). The incidence of deep vein thrombosis has a certain relationship with race and age. In recent years, with the arrival of an aging society and the improvement of medical testing levels, related reports in my country have also increased. The incidence of deep vein thrombosis is high, and the r...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/70G16H10/60G16B40/10G06K9/62G01N30/86
CPCG16H50/20G16H50/70G16H10/60G16B40/10G01N30/8696G06F18/24323
Inventor 曹洁李丹党丽虹靳茜茜杜秋香孙俊红
Owner SHANXI MEDICAL UNIV
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