Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for predicting prognosis of heart failure patient by using data of arachidonic acid metabolome in serum

An arachidonic acid, patient technology, applied in the medical field, can solve problems such as beneficial treatment of high-risk patients

Pending Publication Date: 2022-02-11
BEIJING INST OF HEART LUNG & BLOOD VESSEL DISEASES
View PDF1 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Furthermore, interference with AA production or signaling may benefit the treatment of high-risk patients

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for predicting prognosis of heart failure patient by using data of arachidonic acid metabolome in serum
  • Method for predicting prognosis of heart failure patient by using data of arachidonic acid metabolome in serum
  • Method for predicting prognosis of heart failure patient by using data of arachidonic acid metabolome in serum

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] Example 1. Screening of enrolled patients, processing of serum samples and detection of arachidonic acid metabolites

[0036] Continuously admitted heart failure patients (n=805) were selected for clinical registration research (ClinicalTrials.govIdentifier: NCT04108182), divided into discovery cohort (n=419) and verification cohort (n=386), (all participants provided written Informed consent. This study was approved by the Ethics Committee of Beijing Anzhen Hospital, Ethics Number: KS2019017) to detect the levels of AA metabolites in serum of patients admitted to the hospital, and each patient was followed up for a period of 1 year. Research Ending event is 1 year full due to death . Outcome events occurred in 94 and 90 patients in the discovery and validation cohorts, respectively. For the flow chart of patient enrollment and follow-up, see figure 1 .

[0037] Serum AA detection experimental steps of enrolled patients:

[0038] 1. Sample Preparation

[0039] ...

Embodiment 2

[0044] Example 2, analysis of serum AA metabolites in patients with heart failure

[0045] 1. Univariate and multivariate COX regression analysis

[0046] According to the follow-up results, univariate and multivariate COX regression analyzes found that the cohort AA metabolite levels had a predictive value for 1-year all-cause mortality in patients with heart failure. like figure 2 The results showed that some AA metabolites and metabolite ratios had significant predictive value for 1-year all-cause mortality in patients with heart failure.

[0047] 2. Use 4 arachidonic acid metabolites or ratios to construct a scoring model and verify it

[0048] The mass spectrometry detection patterns of typical patient serum samples [all-cause death event patients (with outcome events) and event-free patients (without outcome events)] are as follows Figure 5 As shown, specifically: 14,15-DHET test results see Figure 5 A. 14,15-EET test results see Figure 5 B, PGD2 test results se...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for predicting prognosis of a heart failure patient by using data of an arachidonic acid metabolome in serum. The metabolome products of the arachidonic acid are 14, 15-DHET: 14, 15-dihydroxyeicosatrienoic acid, 14, 15-EET: 14, 15-epoxyeicosatrienoic acid, PGD2: a prostaglandin D2, and 9-HETE: 9-hydroxyeicosatetraenoic acid. Prediction of the prognosis condition of the heart failure patient is to predict the risk of total cause death of the heart failure patient within one year.

Description

technical field [0001] The invention belongs to the field of medical technology, and in particular relates to a method for predicting the prognosis of heart failure patients based on arachidonic acid metabolome data in serum. Background technique [0002] Heart failure (heart failure) is the terminal stage of various cardiovascular diseases including coronary heart disease, myocardial infarction, hypertension, arrhythmia, viral myocarditis and hereditary cardiomyopathy. Once it happens, it is almost irreversible. Although considerable progress has been made in the management of heart failure drugs and equipment in recent decades, epidemiological surveys have shown that the prevalence of heart failure is still high, with about 22.5 million heart failure patients worldwide, and up to 22.5 million patients in China. 4.5 million, about 3 million people are admitted to hospital every year due to heart failure, and the prognosis is poor. The 5-year mortality rate of patients is 5...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/50G01N27/62
CPCG01N33/50G01N27/62
Inventor 杜杰李玉琳马珂张栩
Owner BEIJING INST OF HEART LUNG & BLOOD VESSEL DISEASES
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com