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Prognostic tests for hepatic disorders

A technology of blood testing and liver, applied in disease diagnosis, measuring devices, complex mathematical operations, etc., can solve the problems of undescribed or dangerous pre-diagnosis detection, and will not produce the most accurate pre-diagnosis, etc.

Inactive Publication Date: 2017-02-22
昂热大学中心医院 +1
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Problems solved by technology

However, there was no statistical difference between the accuracy of FibroTest, liver stiffness and their combination
In addition, Vergniol et al. did not describe or present a predictive test for assessing the risk of liver-related events
[0010] Application of diagnostic tests to prognoses may not yield the most accurate prognoses

Method used

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  • Prognostic tests for hepatic disorders
  • Prognostic tests for hepatic disorders
  • Prognostic tests for hepatic disorders

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Embodiment Construction

[0070] The present invention relates to an in vitro prognostic method, preferably a non-invasive in vitro prognostic method, in a subject for predicting death, preferably liver-related death, or liver-related events, especially complications. Accordingly, the method of the invention may also be defined as an in vitro method for assessing the risk of death or the risk of liver-related events, in particular complications, in a subject. The present invention also relates to an in vitro prognostic method, preferably a non-invasive in vitro prognostic method, for determining an increased risk of death or liver-related events in a subject. The predictive effectiveness of the prognostic method of the present invention was evaluated by Harrell's C index reflecting the recognition ability.

[0071] In one embodiment, the prognostic methods of the present invention have a Harrell's C index of at least about 0.70, preferably at least about 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, ...

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Abstract

The present invention relates to in vitro prognostic method for assessing the risk of death or of liver-related event in a subject, comprising: a. obtaining at least one, preferably at least 2, of the following variables from the subject: i. biomarkers measured in a sample from the subject; ii. clinical data; iii. binary markers; iv. blood test results; b. optionally obtaining at least one blood test result by univariate combination, preferably with a binary logistic regression, of the at least one variable obtained in step (a), said blood test not being a Fibrotest, c. obtaining at least one physical data from medical imaging or clinical measurement, preferably from elastometry, more preferably from Vibration Controlled Transient Elastography (VCTE), and d. mathematically combining in a multivariate time-dependent model said at least one variable obtained in step (a) and / or said at least one blood test result obtained in step b); and said at least one physical data, obtained in step (c) thereby obtaining a prognostic score.

Description

technical field [0001] The present invention relates to the prognostication of patients, especially those suffering from liver disease. More specifically, the present invention relates to non-invasive, prognostic methods for assessing a subject's risk of death or liver-related events. Background technique [0002] Epidemiological data highlight the significant burden of liver disease worldwide, including in the United States and Europe. The most common liver disease is caused by excessive alcohol intake, or infection with hepatitis C and B viruses, and is associated with obesity and metabolic syndrome (nonalcoholic fatty liver disease) in increasing proportions. Chronic liver disease is an important cause of morbidity and mortality. [0003] In the prior art, interest has mainly focused on diagnosing these patients. For example, applicants filed several patent applications for methods for assessing the presence and / or severity of liver disease. These methods are diagnost...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG01N33/576G01N33/6893G01N2800/08G16H50/30G16H50/50G06F17/18
Inventor 保罗·卡乐斯杰罗姆·布尔西耶桑德里娜·贝尔泰斯
Owner 昂热大学中心医院
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