Methods of Determining an Analyte Concentration in a Body Fluid Sample Having Disturbance Variables, as Well as Computer Programs and Devices Therefor

摘要

Methods are provided for deriving/determining an analyte concentration that include recording measurement values during a time development indicating a progress of a detection reaction of at least one test substance and a body fluid sample and providing at least one measurement curve F(t) containing the measurement values, where the detection reaction is known to be influenced by the analyte concentration and at least one disturbance variable Y. The methods also include deriving an end value of the measurement curve to form a first variable x1, and deriving at least one fit parameter by taking into account an exponential characteristic of the measurement curve, and where the fit parameter forms at least one second variable x2. The methods further include deriving/determining the analyte concentration by using at least one multivariate evaluation algorithm adapted to combine x1 and x2. Also provided are computer programs and devices that incorporate the same.

主权项

1. A computer-implemented method of deriving an analyte concentration in at least one body fluid sample, the method comprising the steps of:
a). recording a plurality of measurement values by monitoring a time development of at least one measurement value indicating a progress of a detection reaction of at least one test substance and the body fluid sample, and providing at least one measurement curve F(t) that contains the at least one measurement value, wherein at least an evaluation part of the measurement curve has an exponential characteristic, wherein the at least one measurement value contained in the measurement curve are acquired at differing points in time, and wherein the detection reaction is known to be influenced by an analyte concentration c of an analyte to be detected in the body fluid sample and at least one disturbance variable Y; b). deriving an end value of the measurement curve provided in step a), wherein the end value forms a first variable x1; c). deriving at least one fit parameter from the measurement curve provided in step a) by taking into account the exponential characteristic of at least the evaluation part of the measurement curve, wherein the fit parameter forms at least one second variable x2; and d). deriving the analyte concentration by using at least one multivariate evaluation algorithm, wherein the multivariate evaluation algorithm combines the first variable x1 provided by step b) and the second variable x2 provided by step c).