Serodiagnosis model establishing method for active tuberculosis disease

Abstract

The invention relates to an establishing method of a serum diagnosing model of active tuberculosis, which has the following steps: step 1 is a serum source taking and preparing step which comprises an experiment group and a control group, the venous blood of a checked person is collected, serum and the rest are separately stored after serum separation at the temperature of -80 DEG C in a refrigerator for spare use; step 2 is the step of the mass spectrometric analysis of the serum and comprises sample treatment, protein plate check, spectrometric analysis and data acquisition; step 3 is the step of statistic analysis and the difference protein screening; step 4 is the step of establishing the diagnosing model, and Biomarker Pattern 5.0 software is used for establishing the model of diagnosing active tuberculosis. When the model is used for identifying the active tuberculosis and the control group, the sensitivity is 96.9 percent, the specificity is 97.8 percent, the positive predicating value and the negative predicating value are 97.7 percent and 97.1 percent, and the total accurate rate is 97.3 percent.

Description

technical field [0001] The invention relates to a method for establishing a serum diagnostic model of active pulmonary tuberculosis, in particular to a method for establishing a serum diagnostic model of active pulmonary tuberculosis using protein spectrum technology, and belongs to the technical field of protein spectrum application. Background technique [0002] The tuberculosis epidemic in my country is quite serious, and the number of tuberculosis patients ranks second in the world, second only to India. Early diagnosis, detection of patients, and selection of sensitive anti-tuberculosis drugs for effective treatment are the keys to control tuberculosis. Among the diagnostic methods routinely used in clinical practice at present, the sensitivity of clinical specimen smear detection is low, and the positive rate is only 20-30%; the positive rate of traditional Roche culture is low, only about 30%, and it takes 4-8 weeks; Drug susceptibility testing and strain identificat...

AI Technical Summary

Problems solved by technology

Among the diagnostic methods routinely used in clinical practice at present, the sensitivity of clinical specimen smear detection is low, and the positive rate is only 20-30%; the positive rate of traditional Roche culture is low, only about 30%, and it takes 4-8 weeks; Drug susceptibility testing and strain identification are cumbersome and time-consuming, taking 1 to 2 months; the sensitivity and specificity of serum tuberculosis antibody detection are not ideal; PPD contains many common antigens of mycobacteria, and the specificity of diagnosis is poor, making 4.51 million activities nationwide Among patients with chronic pulmonary tuberculosis, 1.5 million smear-positive pulmonary tuberculosis p...

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