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25(OH) D level-based prediction system for severity of new coronary pneumonia disease and construction and use method thereof

A severity and prediction system technology, applied in the field of the prediction system of the severity of the new coronary pneumonia disease, can solve problems such as the inability to judge the severity of the new coronary pneumonia, and achieve the effect of improving accuracy

Pending Publication Date: 2020-09-18
THE PEOPLES HOSPITAL OF GUANGXI ZHUANG AUTONOMOUS REGION
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Problems solved by technology

[0004] Aiming at the current difficulty of judging whether the severity of COVID-19 is related to biomarkers in the blood, the present invention provides a system for predicting the severity of COVID-19 disease based on 25(OH)D levels and its construction and use method. Enter the patient's information and use the 25(OH)D level as the basis for prediction, which can be used to predict the severity of the disease in patients with new coronary pneumonia

Method used

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  • 25(OH) D level-based prediction system for severity of new coronary pneumonia disease and construction and use method thereof
  • 25(OH) D level-based prediction system for severity of new coronary pneumonia disease and construction and use method thereof
  • 25(OH) D level-based prediction system for severity of new coronary pneumonia disease and construction and use method thereof

Examples

Experimental program
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Embodiment 1

[0033] A prediction system for the severity of COVID-19 disease based on 25(OH)D level, its structural framework is as follows figure 1 shown, including:

[0034] (1) User data collection end, relying on the Internet or on-site medical treatment to collect sample data, obtain sample data sets, and exclude invalid sample data; specific data include but not limited to basic information of patients, past medical history, 25(OH)D Level;

[0035] (2) Prediction module, for extracting and measuring the effective sample of 25(OH)D level from sample data for constructing database model;

[0036] (3) Calculation module, by using SPSS 22.0 for statistical analysis, taking the clinical classification and 25(OH)D level of patients with new coronary pneumonia as variables, drawing the ROC curve, calculating the Youden index, and obtaining the threshold of 25(OH)D as a predictive value;

[0037] (4) A result output module, for outputting and displaying the 25(OH)D threshold, the Youden i...

Embodiment 2

[0047] The subjects of this example were included in the experimental group of 62 patients with new coronary pneumonia and the control group of 80 healthy subjects.

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Abstract

The invention provides a 25(OH) D level-based prediction system for the severity of a new coronary pneumonia disease and a construction and use method thereof. The method for predicting by using the system is to construct a database model by collecting, recording and storing the 25(OH) D level of a new coronary pneumonia patient, basic information of the patient and past medical history, draw an ROC curve and obtain a 25(OH) D level threshold value so as to predict the severity of the new coronary pneumonia disease. The invention provides a method for judging whether the disease condition is serious for the patient with the new coronary pneumonia, predicts the risk of adverse consequences of the patient with the new coronary pneumonia, and makes an expectation for the treatment scheme of the patient with the new coronary pneumonia.

Description

technical field [0001] The present invention belongs to the construction of a novel coronavirus pneumonia disease prediction method system, in particular to a prediction system for the severity of new coronary pneumonia disease based on 25(OH)D levels and its application method. Background technique [0002] There are various ways of transmission of new coronary pneumonia, mainly droplet transmission, contact transmission, and the possibility of aerosol transmission, and the crowd is generally susceptible and the transmission is strong. Typically, patients infected with COVID-19 develop a respiratory illness that begins with fever, cough and fatigue, and then rapidly progresses to pneumonia. Therefore, determining the risk factors of patients with severe COVID-19 in order to identify critically ill patients early and formulate treatment strategies can save the lives of patients to the greatest extent. However, no biomarkers in the blood have been found to correlate with dis...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/70
CPCG16H50/20G16H50/70
Inventor 徐帆钟晓刚叶琨黄光怡廖鑫唐宁宁唐芬邓梅秋杨建荣
Owner THE PEOPLES HOSPITAL OF GUANGXI ZHUANG AUTONOMOUS REGION
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