Method and apparatus for predicting the presence of haemostatic dysfunction in a patient sample
First Claim
1. A method for predicting the presence of haemostatic dysfunction in a patient from at least one time-dependent measurement profile, comprising:
- a) performing at least one time-dependent measurement on an unknown sample and measuring a respective property over time so as to derive a time-dependent measurement profile;
b) defining one or more predictor variables based on the data of the time-dependent measurement profile, said one or more predictor variables including the slope of the time-dependent measurement profile prior to clot formation;
c) deriving a model that represents the relationship between the haemostatic dysfunction and the one or more predictor variables; and
d) utilizing the derived model to predict the existence of haemostatic dysfunction in the patient.
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Abstract
A method is disclosed for predicting the presence of haemostatic dysfunction. At least one time-dependent measurement on an unknown sample is performed and a respective property of the sample is measured over time so as to derive a time-dependent measurement profile. One or more predictor variables, including initial slope, are defined which sufficiently define the data of the time-dependent measurement profile. A model is then derived that represents the relationship between the abnormality and the set of predictor variables. Subsequently, the model is utilized to predict haemostatic dysfunction, such as septicemia or disseminated intravascular coagulation (DIC).
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Citations
39 Claims
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1. A method for predicting the presence of haemostatic dysfunction in a patient from at least one time-dependent measurement profile, comprising:
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a) performing at least one time-dependent measurement on an unknown sample and measuring a respective property over time so as to derive a time-dependent measurement profile;
b) defining one or more predictor variables based on the data of the time-dependent measurement profile, said one or more predictor variables including the slope of the time-dependent measurement profile prior to clot formation;
c) deriving a model that represents the relationship between the haemostatic dysfunction and the one or more predictor variables; and
d) utilizing the derived model to predict the existence of haemostatic dysfunction in the patient. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39)
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Specification