Method and system for establishing tuberculosis risk predicting model based on iron metabolism index

A construction method and risk prediction technology, applied in the field of model construction, can solve the problems of misdiagnosis and missed diagnosis, time-consuming tuberculosis culture, increasing the difficulty of tuberculosis prevention and control, etc., and achieve the effect of high sensitivity

Pending Publication Date: 2019-06-28
深圳市橙月生物科技有限公司
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Problems solved by technology

Unfortunately, these techniques have the disadvantage of seriously insufficient sensitivity. Even if the above three detection techniques are used in combination, the sensitivity is less than 50%. In addition, the culture of tuberculosis still takes a long time (1 to 2 months), which is harmful to biosafety. Disadvantages of

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  • Method and system for establishing tuberculosis risk predicting model based on iron metabolism index
  • Method and system for establishing tuberculosis risk predicting model based on iron metabolism index
  • Method and system for establishing tuberculosis risk predicting model based on iron metabolism index

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[0027] Example

[0028] A method for constructing a tuberculosis risk prediction model based on iron metabolism indicators includes the following steps:

[0029] (1) Collection and processing of samples;

[0030] In this example, the population was included on an empty stomach for 12 hours, and 5 mL of venous blood was collected using a vacuum tube containing separation gel. After the blood sample was placed at room temperature for 30 to 45 minutes, centrifuged at 1000 g for 5 minutes, separated the serum, and placed a clean test tube with a lid for low-temperature storage; Store at 8°C for one week.

[0031] (2) Determine the iron metabolism index from the sample, specifically including the data of three metabolism-related indexes, namely serum iron, transferrin, and ferritin; the detection method of serum iron is complexation method, and the detection method of transferrin is immune Turbidimetric method, the detection method of ferritin is chemiluminescence method; the specific ste...

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Abstract

The invention provides a method for establishing a tuberculosis risk predicting model based on an iron metabolism index. The method comprises the following steps of (1), collecting and processing a sample; (2), measuring the iron metabolism index from the sample, particularly the iron metabolism comprises data of three kinds of serum iron, namely serum iron, transferring and ferritin; (3), fittinga training set by means of a neural network method for establishing the model, recording an optimal model parameter; calculating a model classifying threshold according to an ROC curve by means of averifying set, and establishing the tuberculosis risk predicting model. According to the method of the invention, data of the iron metabolism index in the sample human serum is measured; modeling analysis is performed on the three indexes by means of a neural network model; and an algorithm and the iron metabolism indexes are used for establishing a method for predicting the tuberculosis risk. Themodel has high sensitivity and high specificity and can be used for risk evaluation of the tuberculosis.

Description

technical field [0001] The invention relates to a method for constructing a model, in particular to a method and system for constructing a tuberculosis risk prediction model based on an iron metabolism index. Background technique [0002] Tuberculosis is a chronic infectious disease that seriously endangers human health. According to the report of the World Health Organization in 2016, there were 10.4 million new cases worldwide, 1.4 million deaths, and 480,000 drug-resistant cases. my country is the second country with the highest burden of tuberculosis in the world. How to improve the effectiveness of tuberculosis prevention and control is a major research topic for the national layout. Timely detection and diagnosis of tuberculosis patients is currently the main strategy for tuberculosis prevention and control to improve the success rate of treatment and reduce the spread of the disease. However, due to the complexity and particularity of tuberculosis, the current diagn...

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Application Information

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IPC IPC(8): G16H50/80
Inventor 陈心春
Owner 深圳市橙月生物科技有限公司
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