Method For Detecting Abnormal Values Of A Biomarker

Patent metadata

Field	Value
Publication number	US-2020388388-A1
Application number	US-201816763815-A
Country	US
Kind code	A1
Filing date	Nov 14, 2018
Priority date	Nov 14, 2017
Publication date	Dec 10, 2020
Grant date	—

Abstract

The invention proposes a new method for monitoring a health event in a mammal, comprising detecting at least one abnormal value within a series of values related to at least one biomarker, based on appropriate Z-scores.

First claim

1 . A method for monitoring a health event in a mammal, comprising detecting at least one abnormal value within a series of values related to at least one biomarker, said biomarker corresponding to a physiological parameter or to the level of any biological or chemical entity measured from a biological sample of said mammal, the series of values (x 1 , x 2 , . . . , x n ) related to said at least one biomarker being obtained from independent variables (X 1 , X 2 , . . . , X n ) normally distributed;
said method comprising the following steps of: E1: determining from each biological sample collected at different periods of time from said mammal, a value related to said at least one biomarker thereby acquiring a series of values (x 1 , x 2 , . . . , x n ) related to said biomarker, E2: storing the series of values (x 1 , x 2 , . . . , x n ) on a database (DB) stored in a memory ( 12 ); said method comprising the following steps run with a processor ( 14 ) that can retrieve data from the database (DB) in the memory: E3: calculating, for the whole series of values of step E2 a single value t n of an indicator (T n ), said indicator (T n ) being based on a studentized form (R n,i ) of the variables (X 1 , X 2 , . . . , X n ), said calculation consisting of extracting the maximum observed value (t n ) of the studentized form (R n,i ) calculated for each value of the series of values (x 1 , x 2 , . . . , x n ), E4: comparing the observed value (t n ) of the indicator (T n ) to the quantile (c α,n ) of the distribution of (T n ) said quantile being stored in the memory, E5: if the observed value (t n ) of the indicator (T n ) is above the quantile, reporting, on displaying means ( 20 ), a presence of an abnormal value in the series thereby indicating the occurrence of a health event for said mammal;
wherein, when searching for one series of samples which comprises an abnormal value:
a single series x 1 , x 2 , . . . , x n of n values is stored on the database (DB), n is the number of variables, X 1 , X 2 , . . . , X n represent the n variables, the studentized form is a studentized residual expressed as:

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Assignees

• Univ Paris Sud
• Univ Paris
• Institut Nat De Sport De Lexpertise Et De La Performance
• Centre Nat Rech Scient

Inventors

• Berthelot Geoffroy
• Dedecker Jérôme
• Sauliere Guillaume

Classifications

• A61B5/7264

  Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems · CPC title

• A61B5/004

  adapted for image acquisition of a particular organ or body part (A61B5/0082 takes precedence; arrangements for optical scanning A61B5/0062) · CPC title

• A61B5/0004

  characterised by the type of physiological signal transmitted · CPC title

• G16H50/20 Primary

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title