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

Marker for predicting light-to-severe progression of COVID-19 patient, kit and establishment method

A technology for COVID-19 and method establishment, applied in the field of markers to quickly predict whether COVID-19 patients have mild to severe progression, can solve the problem of inability to judge the severity of the patient's condition in time, loss of attention of medical staff, and limited prediction accuracy and other problems, to achieve the effect of stable results, convenient material collection, fast and accurate results

Active Publication Date: 2021-05-25
GUANGZHOU CENT FOR DISEASE CONTROL & PREVENTION (GUANGZHOU HYGIENE INSPECTION CENT GUANGZHOU CENT FOR FOOD SAFETY RISK SURVEILLANCE & ASSESSMENT INST OF PUBLIC HEALTH OF GUANGZHOU MEDICAL UNIV)
View PDF14 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When mild to severe progression occurs rapidly, its predictive accuracy is very limited, unable to judge the severity of the patient's condition in time and predict whether the disease will worsen
Those COVID-19 patients without severe clinical manifestations and symptoms are often not correctly classified when they are admitted to the hospital so that they lose enough attention of medical staff, especially in the case of tight medical resources, medical staff cannot quickly progress to Make full preparations for treatment in the severe stage
Therefore, effective methods to screen patients with severe COVID-19 without severe symptoms are currently lacking but urgently needed

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
  • Marker for predicting light-to-severe progression of COVID-19 patient, kit and establishment method
  • Marker for predicting light-to-severe progression of COVID-19 patient, kit and establishment method
  • Marker for predicting light-to-severe progression of COVID-19 patient, kit and establishment method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0087] Example 1: Screening of markers for rapid prediction of mild to severe progression in COVID-19 patients 1. Preliminary screening of proteomic features of COVID-19 patients upon admission

[0088] Such as figure 1 As shown, the present invention provides a method for preliminary screening of proteome features when COVID-19 patients are admitted to the hospital, which specifically includes the following content:

[0089] (1) Serum sample preparation

[0090] Blood samples were collected from patients with COVID-19 on the day of their admission, in addition to blood samples from a control group of healthy adults, separated by centrifugation at 1,000g for 10 minutes at 4°C, and aliquots of serum were collected and stored in a -80°C freezer For follow-up research. It was divided into two cohorts. One cohort was used to find markers for mild to severe progression in COVID-19 patients, and the other cohort was used to verify the predictive ability of markers for mild to seve...

Embodiment 2

[0134] Example 2: Rapid screening kit for severe COVID-19 patients and its clinical application

[0135] 1) When a confirmed COVID-19 patient is admitted to the hospital, the blood sample of the patient is obtained within 24 hours, and the proteomics characteristic information of OAF, MB and DDT is obtained, and the specific operation is the same as that described in Example 1;

[0136] 2) Take the patient's OAF, MB and DDT data information as input variables and input them into the random forest model (AUC=0.907, CI: 0.87-0.93), ( Figure 5 b and 5c), the model will output the screening results: 1 means potentially severe patients, 0 means non-severe patients; there is no limitation;

[0137] 3) After screening the output results of the model, medical staff can understand the severity of the patient's condition based on the model analysis results combined with the patient's clinical manifestations and symptoms, and then allocate the corresponding medical resources and give ap...

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 a marker for rapidly predicting whether a COVID-19 patient suffers from light-to-severe progression or not, a kit thereof and an establishment method of the marker. According to the method, the severity of the condition of an early-stage COVID-19 patient is predicted through proteomics data, then potential critical patients are screened, and specific analysis can be carried out only by obtaining the three feature data of OAF, MB and DDT of the patient when the patient is admitted to hospital. The marker and the detection kit can timely, rapidly, objectively and accurately predict the severity of the condition of a COVID-19 patient and whether the disease progresses from light to severe, and assist medical staff in timely finding potential critical patients to allocate enough medical resources and attention, which are advantages that a traditional evaluation mode does not have. Therefore, the invention has great clinical application value for early rapid prediction and screening of the potential critical patients of COVID-19.

Description

technical field [0001] The invention belongs to the field of medical biotechnology, and in particular relates to a marker for rapidly predicting whether mild to severe progression occurs in COVID-19 patients, a kit and a method for establishing the same. Background technique [0002] Cases of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have increased dramatically worldwide. According to the Johns Hopkins University Coronavirus Resource Center website, as of June 8, 2020, 188 countries have reported more than 7 million cases and about 400,000 deaths. Studies have shown that approximately 80% of laboratory-confirmed patients have mild cases, which recover with or without conventional treatment. 20% are severe cases requiring intensive care, and 70% to 80% of these severe cases die within a few days. Therefore, preventing moderate-to-severe progression in patients with COVID-19 at the time of hospital admission ...

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): G16H50/80G16H50/20G16B25/10G06Q10/04G06F17/18G01N30/02
CPCG16H50/80G01N30/02G16B25/10G16H50/20G06Q10/04G06F17/18G01N2030/027
Inventor 梁会营贾红玲狄飚杨智聪范骏刘超武林方钦罗俊洪
Owner GUANGZHOU CENT FOR DISEASE CONTROL & PREVENTION (GUANGZHOU HYGIENE INSPECTION CENT GUANGZHOU CENT FOR FOOD SAFETY RISK SURVEILLANCE & ASSESSMENT INST OF PUBLIC HEALTH OF GUANGZHOU 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