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Methods for screening a subject for the risk of chronic kidney disease and computer-implemented method

A chronic kidney disease, subject technology, applied in computer-aided medical procedures, disease diagnosis, neural learning methods, etc., can solve problems such as missing early stages of diabetes complications

Pending Publication Date: 2020-12-18
F HOFFMANN LA ROCHE & CO AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, when extrapolated from clinical studies, the results do not necessarily reveal the best pathway in terms of efficacy and effectiveness in real-world populations
Furthermore, most of the literature focuses on the progression of diabetic nephropathy or CKD and thus misses the early stages of this diabetic complication

Method used

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  • Methods for screening a subject for the risk of chronic kidney disease and computer-implemented method
  • Methods for screening a subject for the risk of chronic kidney disease and computer-implemented method
  • Methods for screening a subject for the risk of chronic kidney disease and computer-implemented method

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Embodiment Construction

[0156] Generally, in any of the embodiments for the method of screening a subject for risk of CKD, creatinine max Can be the maximum creatinine sample level of multiple creatinine sample levels from the subject, albumin min Can be the minimum albumin sample level among multiple albumin sample levels from the subject, eGFR min Can be the smallest estimated GFR sample level among multiple estimated GFR sample levels from the subject, BMI min Can be the minimum of multiple body mass index (BMI) values ​​from the subject, glucose min Can be the smallest glucose sample level among multiple glucose sample levels from the subject, and the HbA mean It may be an average HbA1C fraction sample level among a plurality of HbA1C fraction sample levels from the subject. Such values ​​and / or sample levels may be determined from already documented values ​​and / or sample levels for the subject. Alternatively or additionally, values ​​and / or sample levels may be determined for a subject, in ...

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Abstract

The disclosure relates to a method for screening a subject for the risk of chronic kidney disease (CKD), comprising: receiving marker data indicative for a plurality of marker parameters for a subject, such plurality of marker parameters indicating, for the subject for a measurement period, an age value, a sample level of creatinine, and a sample level of albumin; and determining a risk factor indicative of the risk of suffering CKD for the subject from the plurality of marker parameters, wherein the determining comprises: weighting the age value higher than the sample level of albumin, and weighting the sample level of creatinine higher than the sample level of albumin. Further, a computer-implemented method for screening a subject and a method for screening a subject for the risk of chronic kidney disease (CKD) are provided.

Description

technical field [0001] The present invention relates to methods and computer-implemented methods for screening subjects for risk of chronic kidney disease. Background technique [0002] In chronic kidney disease (CKD), renal function is progressively lost, beginning with decreased glomerular filtration rate and / or proteinuria, and progressing to end-stage renal disease. As a result, dialysis or kidney transplantation may be necessary (see Unger, J., Schwartz, Z. " Diabetes Management in Primary Care "Second Edition, LippincottWilliams & Wilkens, Philadelphia, USA, 2013). CKD is a serious problem with an adjusted prevalence of 7% in 2013 (Glassock, R.J. et al." The global burden of chronic kidney disease: estimates, variability and pitfalls ", Nat Rev Nephrol 13, 104–114, 2017). Early recognition of CKD can slow progression, prevent complications, and reduce cardiovascular-related outcomes (Platinga, L.C. et al. " Awareness of chronic kidney disease among patients and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/68
CPCG01N33/6893G01N2800/347G01N2800/54Y02A90/10G16H50/70G16H10/60G16H50/50G16H50/30G16B25/00G06N3/08
Inventor A·比泽尔T·胡施托W·佩特里希S·拉维扎B·施奈丁格
Owner F HOFFMANN LA ROCHE & CO AG
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