Methods of Evaluating Medical Measurement Curves, as Well as Computer Programs and Devices Therefor

摘要

Methods are provided for detecting an analyte concentration/presence in a body fluid sample that include providing a set of at least two different evaluation rules, each evaluation rule adapted to derive a set characteristic values from an optical measurement curve, where at least one first characteristic value is derived from at least one first evaluation rule and at least one second characteristic value is derived from at least one second evaluation rule. The methods also include performing at least one multivariate analysis of the at least one first and second characteristic values by using at least one predetermined multivariate evaluation algorithm to derive at least one estimate value for at least one target variable Y of the state variables. The methods also include determining at least one analyte concentration by using the at least one target variable Y. Also provided are computer programs and devices that incorporate the same.

主权项

1. A method for detecting an analyte in a body fluid sample, the method comprising the steps of:
a). providing at least one optical measurement curve, wherein the optical measurement curve contains a plurality of measurement values recorded 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, wherein the measurement values contained in the optical measurement curve are acquired at differing points in time, and wherein the detection reaction is influenced by a set of state variables, each state variable characterizing at least one of a state of the body fluid sample and a condition of the detection reaction; b). providing a set of at least two different evaluation rules, each evaluation rule adapted to derive a characteristic value from the optical measurement curve, thereby deriving a set of characteristic values X={Xi}i=1 . . . N from the optical measurement curve, the set of characteristic values comprising at least one first characteristic value being derived from the optical measurement curve by using at least one first evaluation rule from the set of evaluation rules and at least one second characteristic value being derived from the optical measurement curve by using at least one second evaluation rule from the set of evaluation rules, the second evaluation rule being different from the first evaluation rule; c). performing at least one multivariate analysis of the at least one first characteristic value and of the at least one second characteristic value by using at least one predetermined multivariate evaluation algorithm, the at least one multivariate evaluation algorithm adapted to derive at least one result from at least two variables, wherein the at least one first characteristic value and the at least one second characteristic value are used as the at least two variables, thereby deriving at least one estimate value for at least one target variable Y of the state variables; and d). determining at least one analyte concentration by using the at least one target variable Y.