Abstract: A method is described for treating a subject having acute heart failure (AHF) by measuring PERLECAN levels in the subject. The PERLECAN level in the subject is used to determine risk of mortality within one year for the subject. Treatment is selected on the basis of the outcome of the assay.

Abstract: The application discloses PERLECAN as a new biomarker for renal dysfunction; methods for predicting, diagnosing, prognosticating and/or monitoring said dysfunction based on measuring said biomarker; and kits and devices for measuring said biomarker and/or performing said methods.

Abstract: A method is described for treating a subject having acute heart failure (AHF) by measuring PERLECAN levels in the subject. The PERLECAN level in the subject is used to determine risk of mortality within one year for the subject. Treatment is selected on the basis of the outcome of the assay.

Abstract: The present invention provides for a home test or a point of care test device that can both detect blood glucose and insulin levels and methods using said device. The device and methods can be used to aid diabetic patients and medical practitioners to fine tune insulin administration, and to monitor disease progression or treatment.

Abstract: A health-monitoring device assesses the health of a user based on levels of two analytes in a biological fluid. A first analyte that is utilized to assess a user's health is a fat metabolism analyte, such as ketones, free fatty acids and glycerol, which is indicative of fat metabolism. A second analyte that is utilized is a glucose metabolism analyte, such as glucose. The levels of the two analytes may be used to assess insulin sensitivity, to detect both recent hypoglycemia and the cause of high glucose levels, and/or to guide therapeutic intervention. The dual analyte model may calculate a discrepancy between an actual insulin activity level and a theoretical insulin activity level. The dual analyte model of the present invention may be used to identify individuals at risk for metabolic syndrome, insulin resistance and non-insulin dependent diabetes, and allows monitoring of the progression of those disease states, as well as progress made by therapeutic interventions.

Abstract: A health-monitoring device assesses the health of a user based on levels of two analytes in a biological fluid. A first analyte that is utilized to assess a user's health is a fat metabolism analyte, such as ketones, free fatty acids and glycerol, which is indicative of fat metabolism. A second analyte that is utilized is a glucose metabolism analyte, such as glucose. The levels of the two analytes may be used to assess insulin sensitivity, to detect both recent hypoglycemia and the cause of high glucose levels, and/or to guide therapeutic intervention. The dual analyte model may calculate a discrepancy between an actual insulin activity level and a theoretical insulin activity level. The dual analyte model of the present invention may be used to identify individuals at risk for metabolic syndrome, insulin resistance and non-insulin dependent diabetes, and allows monitoring of the progression of those disease states, as well as progress made by therapeutic interventions.

Abstract: The present invention provides for a home test or a point of care test device that can both detect blood glucose and insulin levels and methods using said device. The device and methods can be used to aid diabetic patients and medical practitioners to fine tune insulin administration, and to monitor disease progression or treatment.

Abstract: The application discloses new test panels comprising biomarkers and clinical parameters, for the prediction, diagnosis, prognosis and/or monitoring of hypertensive disorders of pregnancy and particularly preeclampsia; and related methods, uses, kits and devices.

Abstract: The application discloses LTBP2 as a new biomarker for pulmonary injury; methods for the diagnosis, prediction, prognosis and/or monitoring of said pulmonary injury based on measuring said biomarker; and kits and devices for measuring said biomarker and/or performing said methods.

Abstract: The present invention relates to procathepsin L, cathepsin L or a fragment thereof as a biomarker for ischemia. The present invention further relates to methods for diagnosing, predicting, prognosticating and/or monitoring ischemia based on measuring said biomarker, and to related kits, devices and uses thereof.

Abstract: A health-monitoring device assesses the health of a user based on levels of two analytes in a biological fluid. A first analyte that is utilized to assess a user's health is a fat metabolism analyte, such as ketones, free fatty acids and glycerol, which is indicative of fat metabolism. A second analyte that is utilized is a glucose metabolism analyte, such as glucose. The levels of the two analytes may be used to assess insulin sensitivity, to detect both recent hypoglycemia and the cause of high glucose levels, and/or to guide therapeutic intervention.

Abstract: The application discloses PERLECAN as a new biomarker for renal dysfunction; methods for predicting, diagnosing, prognosticating and/or monitoring said dysfunction based on measuring said biomarker; and kits and devices for measuring said biomarker and/or performing said methods.

Abstract: The application discloses PERLECAN as a new biomarker for renal dysfunction; methods for predicting, diagnosing, prognosticating and/or monitoring said dysfunction based on measuring said biomarker; and kits and devices for measuring said biomarker and/or performing said methods.

Abstract: The application discloses new test panels comprising biomarkers and clinical parameters, for the prediction, diagnosis, prognosis and/or monitoring of hypertensive disorders of pregnancy and particularly preeclampsia; and related methods, uses, kits and devices.

Abstract: The application discloses PERLECAN as a new biomarker for renal dysfunction; methods for predicting, diagnosing, prognosticating and/or monitoring said dysfunction based on measuring said biomarker; and kits and devices for measuring said biomarker and/or performing said methods.

Abstract: A health-monitoring device assesses the health of a user based on levels of two analytes in a biological fluid. A first analyte that is utilized to assess a user's health is a fat metabolism analyte, such as ketones, free fatty acids and glycerol, which is indicative of fat metabolism. A second analyte that is utilized is a glucose metabolism analyte, such as glucose. The levels of the two analytes may be used to assess insulin sensitivity, to detect both recent hypoglycemia and the cause of high glucose levels, and/or to guide therapeutic intervention. The dual analyte model may calculate a discrepancy between an actual insulin activity level and a theoretical insulin activity level. The dual analyte model of the present invention may be used to identify individuals at risk for metabolic syndrome, insulin resistance and non-insulin dependent diabetes, and allows monitoring of the progression of those disease states, as well as progress made by therapeutic interventions.

Abstract: A health-monitoring device assesses the health of a user based on levels of two analytes in a biological fluid. A first analyte that is utilized to assess a user's health is a fat metabolism analyte, such as ketones, free fatty acids and glycerol, which is indicative of fat metabolism. A second analyte that is utilized is a glucose metabolism analyte, such as glucose. The levels of the two analytes may be used to assess insulin sensitivity, to detect both recent hypoglycemia and the cause of high glucose levels, and/or to guide therapeutic intervention. The dual analyte model may calculate a discrepancy between an actual insulin activity level and a theoretical insulin activity level. The dual analyte model of the present invention may be used to identify individuals at risk for metabolic syndrome, insulin resistance and non-insulin dependent diabetes, and allows monitoring of the progression of those disease states, as well as progress made by therapeutic interventions.

Abstract: A health-monitoring device assesses the health of a user based on levels of two analytes in a biological fluid. A first analyte that is utilized to assess a user's health is a fat metabolism analyte, such as ketones, free fatty acids and glycerol, which is indicative of fat metabolism. A second analyte that is utilized is a glucose metabolism analyte, such as glucose. The levels of the two analytes may be used to assess insulin sensitivity, to detect both recent hypoglycemia and the cause of high glucose levels, and/or to guide therapeutic intervention. The dual analyte model may calculate a discrepancy between an actual insulin activity level and a theoretical insulin activity level. The dual analyte model of the present invention may be used to identify individuals at risk for metabolic syndrome, insulin resistance and non-insulin dependent diabetes, and allows monitoring of the progression of those disease states, as well as progress made by therapeutic interventions.

Abstract: A health-monitoring device assesses the health of a user based on levels of two analytes in a biological fluid. A first analyte that is utilized to assess a user's health is a fat metabolism analyte, such as ketones, free fatty acids and glycerol, which is indicative of fat metabolism. A second analyte that is utilized is a glucose metabolism analyte, such as glucose. The levels of the two analytes may be used to assess insulin sensitivity, to detect both recent hypoglycemia and the cause of high glucose levels, and/or to guide therapeutic intervention. The dual analyte model may calculate a discrepancy between an actual insulin activity level and a theoretical insulin activity level. The dual analyte model of the present invention may be used to identify individuals at risk for metabolic syndrome, insulin resistance and non-insulin dependent diabetes, and allows monitoring of the progression of those disease states, as well as progress made by therapeutic interventions.

Abstract: A health-monitoring device assesses the health of a user based on levels of two analytes in a biological fluid. A first analyte that is utilized to assess a user's health is a fat metabolism analyte, such as ketones, free fatty acids and glycerol, which is indicative of fat metabolism. A second analyte that is utilized is a glucose metabolism analyte, such as glucose. The levels of the two analytes may be used to assess insulin sensitivity, to detect both recent hypoglycemia and the cause of high glucose levels, and/or to guide therapeutic intervention. The dual analyte model may calculate a discrepancy between an actual insulin activity level and a theoretical insulin activity level. The dual analyte model of the present invention may be used to identify individuals at risk for metabolic syndrome, insulin resistance and non-insulin dependent diabetes, and allows monitoring of the progression of those disease states, as well as progress made by therapeutic interventions.