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Diabetic nephropathy and non-diabetic nephropathy differential diagnosis device

A technology for diabetic nephropathy and differential diagnosis, which is applied in the field of differential diagnosis devices for diabetic nephropathy and non-diabetic nephropathy, can solve the problems of inaccurate diagnosis process and diagnosis results, patient suffering, and high technical difficulty, achieve a good auxiliary diagnosis function, and overcome traumatic Larger, more accurate results

Pending Publication Date: 2019-12-31
GENERAL HOSPITAL OF PLA
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

The practicability of diagnostic criteria is poor, and the accuracy of diagnostic results is not authoritative
In conclusion, the traditional differential diagnosis method of diabetic nephropathy-non-diabetic nephropathy is a dichotomous variable, the diagnostic indicators are vague, and the diagnostic process and diagnostic results are not accurate enough. In addition, it has been verified in the Chinese population that although this diagnostic method has a high sensitivity for the diagnosis of NDRD, but low specificity
Therefore, the criteria in the Clinical Practice Guidelines for Chronic Kidney Disease (KDOQI) are not objective and uniform, and are not suitable as diagnostic criteria
[0007] In addition, although the differential diagnosis of diabetic nephropathy can be clarified through the traditional renal biopsy technique, this technique is relatively invasive, and it will cause complications after operation. regular items
In addition, in the actual application process, usually when the clinical diagnosis is made, patients with diabetic nephropathy often miss the best opportunity for treatment, resulting in a sharp deterioration of the disease and irreversible

Method used

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  • Diabetic nephropathy and non-diabetic nephropathy differential diagnosis device
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Embodiment 1

[0045] Embodiment 1: In the specific embodiment of the present invention, random regression filling method is used for filling. This method is to establish a regression equation of missing data to non-missing data of associated variables by fitting a regression equation, and use the predicted value as the filling value of the missing data to substitute the observed value into the regression equation to estimate the missing value, and at the same time, from the distribution of residual items The data is randomly selected, and the sum of the two is used as the predicted value to reflect the uncertainty of the filling value. This method can reduce the underestimation of the variance of the treatment effect, effectively solve the relatively common problems in data missing data (such as data missing in an arbitrary pattern), thereby improving statistical efficiency, and thus has a wide range of applications in clinical trial research.

Embodiment 2

[0046] Embodiment 2: In a specific embodiment of the present invention, data filling can also be performed by using predictive mean matching. Predictive mean matching (PMM), a method for multiple fitting to missing data, is a computational method that combines parametric and nonparametric techniques, especially for the fitting of non-normally distributed quantitative variables. The predicted mean matching is not calculated directly based on the value, but based on the expected value of the corresponding missing variable, so as to calculate the missing value, that is, the possibility of predicting the missing variable based on the mean value of the group data. In this case, a linear regression model is used for calculation.

[0047] Step 3: Grading and ranking of importance;

[0048] In the specific embodiment of the present invention, after step 1 preliminary screening and step 2 index variable screening, it is necessary to classify the importance of index variables, and each...

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Abstract

The invention provides a diabetic nephropathy-non-diabetic nephropathy differential diagnosis device and relates to the biological detection technology field. Defects that a standard in a traditionalchronic kidney disease clinical practice guide (KDOQI) is not objective and unified and is not suitable for serving as a diagnosis standard, and a traditional kidney puncture biopsy technology is large in trauma, can cause complications after operation and is high in technical difficulty. In a diabetic nephropathy-non-diabetic nephropathy differential diagnosis process provided in the invention, anew index is selected by adopting a machine learning method to construct a diabetic nephropathy and non-diabetic nephropathy differential diagnosis model, pain of a patient can be reduced, a diagnosis result is accurate, an application range is wide, and a good auxiliary diagnosis effect is provided for clinical practice.

Description

technical field [0001] The invention relates to the technical field of biological detection, in particular to a differential diagnosis device for diabetic nephropathy-non-diabetic nephropathy. Background technique [0002] For patients with diabetes and chronic kidney disease, the cause of chronic kidney disease may be diabetes, which is Diabetic nephropathy (DN). Diabetic nephropathy is one of the most serious chronic microvascular complications of diabetes. Glomerular sclerosis caused by microvascular disease caused by diabetes is the characteristic of this disease, and eventually leads to end-stage renal failure. It is one of the main causes of death in diabetic patients. one. [0003] However, there are still some diabetic patients whose chronic kidney disease is caused by other reasons, which are collectively referred to as non-diabetic renal disease (NDRD). [0004] The clinical features of patients with diabetic and non-diabetic nephropathy are similar. Because NDR...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20
CPCG16H50/20
Inventor 陈香美刘晓敏张伟光董哲毅
Owner GENERAL HOSPITAL OF PLA
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