Early-stage non-alcoholic steatohepatitis evaluation model, construction method and application thereof
A fatty liver disease, non-alcoholic technology, applied in the field of immunology, can solve the problems of no model, low proportion of severe NASH, etc., to achieve the effect of improving ability
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Embodiment 1
[0054] The present invention uses the currently recognized pathological grouping method to analyze the samples of 457 cases, including 231 cases in the non-NASH group and 226 cases in the NASH group.
[0055] The grouping method used in this model is: the total score of 4 items of pathology is less than 5 in the non-NASH control group, and greater than or equal to 5 in the patient group;
[0056] The area under the ROC curve of the evaluation scoring model is as follows figure 1 As shown, the present invention simulates a more effective calculation formula by adding gender, age, TC, etc.:
[0057] Y=-12.037+1.488sex-0.048age+0.096BMI+0.004ALT-0.004GGT+0.032Hb+0.701TC-0.586LDL+1.525M30;
[0058] Among them, M30 means the choice of keratin 18-M30 as a marker of liver cell apoptosis, sex means the sex of the detected individual, TC means total cholesterol content, LDL means low-density lipoprotein, BMI means body mass index, age means age, Hb denotes hemoglobin, ALT denotes ala...
Embodiment 3
[0085] The embodiment of the present invention further discloses a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the above-mentioned method for constructing an assessment model of early non-alcoholic fatty liver disease are realized.
Embodiment 4
[0087] The embodiment of the present invention further discloses an evaluation system for early non-alcoholic fatty liver disease in combination with the above computer-readable storage medium. The system is a device including a computer for predicting early non-alcoholic fatty liver disease according to physical examination indicators. The computer has the following parts,
[0088] a database storing longitudinal health management data;
[0089] memory, storing computer programs operable on the processor;
[0090] The input unit is used to input the information for predicting individuals and the physical examination indicators required for the assessment of early non-alcoholic fatty liver disease, including liver cell apoptosis markers, gender, total cholesterol, low-density lipoprotein, body mass index, age, Hemoglobin, alanine aminotransferase and gamma glutamyl transpeptidase;
[0091] The processor calls the data in the database, runs the program in the memory, generate...
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