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First-line glucocorticoid treatment response prediction model based on aGVHD biomarker

A technology of glucocorticoids and predictive models, applied in medical automated diagnosis, computer-aided medical procedures, drug reference, etc., can solve the problem of less use of clinical diagnosis information of patients with aGVHD, and achieve the effect of improving accuracy

Pending Publication Date: 2022-01-28
北京博富瑞医学检验实验室有限公司
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Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a first-line glucocorticoid treatment response prediction model based on aGVHD biomarker, which has the advantages of higher accuracy, and solves the problem of aGVHD clinical diagnosis of patients before hormone therapy, which is rarely used in existing studies information problem

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  • First-line glucocorticoid treatment response prediction model based on aGVHD biomarker
  • First-line glucocorticoid treatment response prediction model based on aGVHD biomarker
  • First-line glucocorticoid treatment response prediction model based on aGVHD biomarker

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Embodiment 1

[0024] Embodiment one: if figure 1 As shown, the present invention includes three steps of aGVHD biomarker index monitoring, data screening and grouping, first-line glucocorticoid treatment response prediction model training, and risk stratification:

[0025] Step 1: aGVHD biomarker indicator monitoring and data screening and grouping, using the Luminex platform to monitor the aGVHD biomarker (sST2, REG3α) indicators of the multi-center patient population after one week of first-line glucocorticoid treatment, and according to whether aGVHD occurs after first-line glucocorticoid treatment. Drug resistance / dependence is grouped to form a model data set. It should be noted that one aGVHD biomarker data must be guaranteed for each patient during the screening process.

[0026] Step 2: First-line glucocorticoid treatment response prediction model training, the aGVHD biomarker index of the model data set mentioned in step 1 and whether the clinical aGVHD is severe when the clinical ...

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Abstract

The invention relates to the technical field of hematopoietic stem cell transplantation, and discloses a first-line glucocorticoid treatment response prediction model based on aGVHDbiomarker, which is characterized by comprising the following steps: monitoring aGVHDbiomarker indexes (sST2, REG3alpha) after aGVHD patient first-line glucocorticoid treatment for one week through a Luminex platform, and taking the aGVHDbiomarker indexes as basic data bars; and associating the basic data bar of the patient and whether the aGVHD is severe or not when the aGVHD occurs with a clinical aGVHD first-line glucocorticoid treatment reaction, and establishing an aGVHD first-line glucocorticoid drug resistance / dependence prediction model by adopting a logistic regression technology. According to the aGVHD biomarker-based first-line glucocorticoid treatment response prediction model, through establishment of a machine learning model, whether hormone resistance / dependence occurs after aGVHD patient first-line glucocorticoid treatment is predicted and layered, and reference is provided for clinical decision making.

Description

technical field [0001] The invention relates to the technical field of hematopoietic stem cell transplantation, in particular to a first-line glucocorticoid treatment response prediction model based on aGVHD biomarker. Background technique [0002] Acute graft-versus-host disease (aGVHD) is the main source of fatal complications and mortality after allogeneic hematopoietic stem cell transplantation (HSCT). Many patients do not respond to hormone therapy (hormone resistance) or aGVHD cannot be reduced or aGVHD is reactivated during the reduction process (hormone dependence). The prognosis of these patients is usually poor and the survival rate is low. In addition, some patients need to continue The quality of the initial treatment response cannot be judged until the fourth week after treatment, and the time span is long, which is not conducive to clinicians to modify treatment strategies in a timely manner. Therefore, early prediction of glucocorticoid resistance / dependence c...

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Application Information

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IPC IPC(8): G16H50/20G16H70/40
CPCG16H50/20G16H70/40
Inventor 管迪王子琪苗丽丽李晓博
Owner 北京博富瑞医学检验实验室有限公司