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Model, system and storage medium for predicting renal function progression in T2DKD patients

A kidney function and patient technology, applied in the biological field, can solve the problems of inconvenient practical application and promotion, achieve strong clinical application and promotion value, facilitate external verification, and simple application

Pending Publication Date: 2022-03-04
SOUTHEAST UNIV
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  • Application Information

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Problems solved by technology

[0003] Previous studies have reported risk factors for the progression of type 2 diabetic kidney disease (T2DKD), and analyzed the risk factors with parametric or semi-parametric models to establish a statistical model for predicting disease progression, but most Presented in the form of complex mathematical formulas, it is not convenient for clinical practical application and promotion

Method used

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  • Model, system and storage medium for predicting renal function progression in T2DKD patients
  • Model, system and storage medium for predicting renal function progression in T2DKD patients
  • Model, system and storage medium for predicting renal function progression in T2DKD patients

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Embodiment 1

[0078]Embodiment 1, a method for constructing a model for predicting the progression of renal function in T2DKD patients:

[0079] 1. Research objects: The modeling cohort selected T2DKD patients who were hospitalized in the Nephrology Department of Zhongda Hospital Affiliated to Southeast University from June 2013 to June 2017. The external validation cohort selected T2DKD patients hospitalized in the Department of Nephrology, First Affiliated Hospital of Zhengzhou University from January 2018 to January 2020.

[0080] (1) Main inclusion criteria: ①Definitely diagnosed as type 2 diabetes; ②Estimated glomerular filtration rate (estimated glomerular filtration rate, eGFR)2 And / or UACR ≥ 30mg / g, more than 3 months; ③ follow-up time > 6 months.

[0081] (2) Main exclusion criteria: ①eGFR2 Or patients who have started renal replacement therapy (including hemodialysis, peritoneal dialysis, kidney transplantation); ② patients with other types of kidney disease, such as IgA nephropat...

Embodiment 2

[0084] Embodiment 2, the presentation of the prediction model:

[0085] (1) Nomogram: such as figure 1 As shown, the nomogram is equivalent to a simple medical calculator, with a total of 8 lines, of which the 2nd to 5th lines represent the independent variables included. The sum of the scores for the four independent variables corresponds to the total score in row 6 and corresponds to the predicted 1- and 2-year outcome-free survival in rows 7 and 8. The higher the total score, the worse the prognosis of the patient. In this embodiment, the nomogram is established through the rms package in the R language software.

[0086] (2) Web calculator: such as image 3 As shown, using the R language shiny package, we convert the nomogram model into another visual presentation method—a webpage calculator. By opening the website https: / / shiningming.shinyapps.io / T2DKDprogressionRisk / , you can enter the webpage of the present invention Calculator interface, input the specific value of ...

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Abstract

The invention relates to the technical field of biology, in particular to a model, a system and a storage medium for predicting renal function progression of T2DKD patients, and provides the following scheme: performing Cox regression analysis on baseline data of a plurality of T2DKD patients, determining predictive factors, and establishing a predictive model according to the predictive factors; the prediction factors comprise the Scr level, the UACR level, the ALB level and whether insulin is used or not, Scr is serum creatinine, ALB is serum albumin, UACR is the ratio of urine microalbumin to urine creatinine, and the prediction model comprises a column diagram and a webpage calculator. According to the method, a brand new clinical prediction model for predicting the renal function progress of the T2DKD patient is established and is further presented in the form of two simple bedside prediction tools, namely a column diagram and a webpage calculator, the method is simple and easy to understand and simple and convenient to apply, and the problem that currently, most models established at home and abroad are presented in the form of complex calculation formulas, and the calculation efficiency is poor is solved. And clinical practical application and external popularization are not convenient.

Description

technical field [0001] The invention relates to the field of biotechnology, in particular to a model, system and storage medium for predicting renal function progression of T2DKD patients. Background technique [0002] Diabetic kidney disease (DKD) is the most common microvascular complication of diabetes, and it is the main cause of end-stage kidney disease (ESKD) and death in patients. Timely prediction of DKD progression is crucial for formulating correct Prevention strategies are of great significance; [0003] Previous studies have reported risk factors for the progression of type 2 diabetic kidney disease (T2DKD), and analyzed the risk factors with parametric or semi-parametric models to establish a statistical model for predicting disease progression, but most Presented in the form of complex mathematical formulas, it is not convenient for clinical practical application and promotion. [0004] To this end, the present invention proposes a model, system and storage m...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06F17/18G16H50/30
CPCG06Q10/04G06F17/18G16H50/30
Inventor 刘必成高月明冯松涛
Owner SOUTHEAST UNIV
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