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

S100 protein family-based acute pancreatitis severity prediction model and detection method thereof

A technology of acute pancreatitis and severity, applied in medical simulation, measuring devices, computer-aided medical procedures, etc., can solve the sensitivity and specificity of early diagnosis of severe acute pancreatitis, which cannot meet clinical requirements, high cost, and detection of severe acute pancreatitis. It can reduce the human subjectivity, improve the specificity and accuracy of early diagnosis, and achieve the effect of fast and simple collection.

Inactive Publication Date: 2019-11-12
FIRST AFFILIATED HOSPITAL OF DALIAN MEDICAL UNIV
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the prediction of the severity of the disease by these evaluation methods mainly relies on the accumulation of clinicians' years of clinical practice experience, which is highly subjective and difficult to achieve early warning of severe acute pancreatitis
In addition, some studies have proposed to use the interleukin family (IL-6, IL-8, etc.), tumor necrosis factor (TNF) levels, etc. , and the sensitivity and specificity of the early diagnosis of severe acute pancreatitis are not up to the clinical requirements, and there are limitations such as complex detection and high cost

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
  • S100 protein family-based acute pancreatitis severity prediction model and detection method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] The present invention provides a prediction model for the severity of acute pancreatitis based on the S100 protein family and a detection method thereof. In order to make the purpose, technical solution and effect of the present invention clearer and more specific, the present invention will be further described in detail below. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0028] The present invention provides a prediction model for the severity of acute pancreatitis based on the S100 protein family, wherein the biomarker for predicting the severity of acute pancreatitis is an up-regulated protein (increased expression, up-regulated) in the S100 protein family, namely The acute pancreatitis severity prediction model based on the S100 protein family of the present invention includes six members of the S100 protein family whose expression levels are upregulated: S1...

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 discloses an S100 family-based acute pancreatitis severity prediction model and detection method thereof, and belongs to the technical field of acute pancreatitis detection. The acute pancreatitis severity prediction model is established by utilizing S100A6, S100A8, S100S9, S100A11, S100A12 and S100P in the S100 protein family; and for severe acute pancreatitis, the prediction modelhas a diagnosis sensitivity of 92.30%, a specificity of 84.70%, a false positive rate of 15.30% and a false negative rate of 7.70%. Compared with the present clinically used scale detection and imaging diagnosis, the prediction model has reduced subjectivity, is more correct and has a quantitative detection effect.

Description

technical field [0001] The invention relates to a model for predicting the severity of acute pancreatitis based on the S100 protein family and a detection method thereof, belonging to the technical field of detection of acute pancreatitis. Background technique [0002] Acute pancreatitis is the most common aseptic inflammation of the pancreas, the main pathological manifestations are pancreatic acinar cell damage and necrosis and inflammatory cascade reaction. According to international clinical data, its incidence rate is as high as 13-45 / 100,000 people, and it shows an increasing trend year by year. In the United States, more than 200,000 patients with acute pancreatitis need to be hospitalized every year, and the direct treatment cost is as high as 2 billion U.S. dollars per year. According to the severity of acute pancreatitis, the latest Atlanta classification in 2012 divided acute pancreatitis into mild acute pancreatitis (MAP), moderately severe acute pancreatitis (M...

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): G01N30/02G01N30/72G16B50/30G16H50/50
CPCG01N30/02G01N30/72G16B50/30G16H50/50
Inventor 尚东尹沛源刘建均项红宋慧一
Owner FIRST AFFILIATED HOSPITAL OF DALIAN MEDICAL UNIV
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