Abstract: Disclosed herein are methods that aid in the diagnosis and evaluation of a human subject that has sustained or may have sustained an injury to the head, such as mild or a moderate, severe, or moderate to severe traumatic brain injury (TBI), by detecting levels of cardiac troponin I (cTnI) and one or more early biomarkers which are not cTnI, such as ubiquitin carboxy-terminal hydrolase L1 (UCH-L1), glial fibrillary acidic protein (GFAP), or a combination thereof, in biological samples taken from a human subject at time points within about 24 hours of injury after the subject has sustained or may have sustained the injury to the head.

Abstract: The invention provides decision tree based systems and methods for estimating the risk of acute coronary syndrome (ACS) in subjects suspect of having ACS. In particular, systems and methods are provided that employ additive decision tree based algorithms to process a subject's initial cardiac troponin I or T (cTnI or cTnT) concentration, a subject's cTnI or cTnT rate of change, and at least one of the following: the subject's age, the subject's gender, the subject's ECG value, the subject's hematology parameter value, to generate an estimate risk of ACS. Such risk stratification allows, for example, patients to be ruled in or rule out with regard to needing urgent treatment.

Abstract: Disclosed herein are methods that aid in the diagnosis and evaluation of a human subject that has sustained or may have sustained an injury to the head, such as mild or moderate, severe, or moderate to severe traumatic brain injury (TBI), using cTnI. Also disclosed are methods for determining whether to perform a head computerized tomography on a subject by detecting levels of cTnI. Finally, also disclosed are methods of outcome in subjects suffering from a mild TBI.

Abstract: The invention provides decision tree based systems and methods for estimating the risk of acute coronary syndrome (ACS) in subjects suspect of having ACS. In particular, systems and methods are provided that employ additive decision tree based algorithms to process a subject's initial cardiac troponin I or T (cTnI or cTnT) concentration, a subject's cTnI or cTnT rate of change, and at least one of the following: the subject's age, the subject's gender, the subject's ECG value, the subject's hematology parameter value, to generate an estimate risk of ACS. Such risk stratification allows, for example, patients to be ruled in or rule out with regard to needing urgent treatment.

Abstract: Disclosed herein are methods that aid in the diagnosis and evaluation of a human subject that has sustained or may have sustained an injury to the head, such as mild or moderate, severe, or moderate to severe traumatic brain injury (TBI), using cTnI. Also disclosed are methods for determining whether to perform a head computerized tomography on a subject by detecting levels of cTnI. Finally, also disclosed are methods of outcome in subjects suffering from a mild TBI.

Abstract: Provided herein are methods for predicting or determining whether a subject with coronary artery disease is likely to experience or develop a major adverse cardiovascular event (MACE) based on determining cardiac troponin (cTnI) levels in a human at rest and during or after exercise.

Abstract: Disclosed herein are methods that aid in the diagnosis and evaluation of a human subject that has sustained or may have sustained an injury to the head, such as mild or a moderate, severe, or moderate to severe traumatic brain injury (TBI), by detecting levels of cardiac troponin I (cTnI) and one or more early biomarkers which are not cTnI, such as ubiquitin carboxy-terminal hydrolase L1 (UCH-L1), glial fibrillary acidic protein (GFAP), or a combination thereof, in biological samples taken from a human subject at time points within about 24 hours of injury after the subject has sustained or may have sustained the injury to the head.

Abstract: Disclosed herein are methods that aid in the diagnosis and evaluation of a human subject that has sustained or may have sustained an injury to the head, such as mild or a moderate, severe, or moderate to severe traumatic brain injury (TBI), by detecting levels of cardiac troponin I (cTnI) and one or more early biomarkers which are not cTnI, such as ubiquitin carboxy-terminal hydrolase L1 (UCH-L1), glial fibrillary acidic protein (GFAP), or a combination thereof, in biological samples taken from a human subject at time points within about 24 hours of injury after the subject has sustained or may have sustained the injury to the head.

Abstract: The present disclosure relates to methods for predicting or determining whether a subject with coronary artery disease is likely to experience or develop a major adverse cardiovascular event (MACE) based on comparing the concentration or levels of cardiac troponin I (cTnI) determined by one or more assays before a stress test and then during or after a stress test.

Abstract: Disclosed are systems and methods for detecting the sample concentration of cardiac troponin I (cTnI) and the sample concentration of soluble urokinase receptor (suPAR) to determine if a subject has or is at risk for developing cardiovascular disease or a complication of previously diagnosed cardiovascular disease.

Abstract: Disclosed herein are methods that aid in the diagnosis and evaluation of a human subject that has sustained or may have sustained an injury to the head, such as mild or moderate, severe, or moderate to severe traumatic brain injury (TBI), using cTnI. Also disclosed are methods for determining whether to perform a head computerized tomography on a subject by detecting levels of cTnI. Finally, also disclosed are methods of outcome in subjects suffering from a mild TBI.

Abstract: Disclosed herein are methods that aid in the diagnosis and evaluation of a human subject that has sustained or may have sustained an injury to the head, such as mild or a moderate, severe, or moderate to severe traumatic brain injury (TBI), by detecting levels of cardiac troponin I (cTnI) and one or more early biomarkers which are not cTnI, such as ubiquitin carboxy-terminal hydrolase L1 (UCH-L1), glial fibrillary acidic protein (GFAP), or a combination thereof, in biological samples taken from a human subject at time points within about 24 hours of injury after the subject has sustained or may have sustained the injury to the head.

Abstract: The invention provides methods of detecting a natriuretic protein, a troponin, and galectin-3 in samples from subjects in order to determine risk of developing new onset heart failure with preserved ejection fraction (HFpEF).

Abstract: The present invention provides systems and methods for determining and reporting the cardiac troponin I (cTnI) concentration in a sample from a pregnant woman (in the first, second, or third trimester) by determining whether the sample (cTnI) concentration is higher than a 99th percentile cTnI concentration from a corresponding first, second, or third trimester uncomplicated pregnancy control group, thereby determining if the pregnant woman has or is at risk of developing cardiovascular disease, such as gestational hypertension.

Abstract: The invention provides decision tree based systems and methods for estimating the risk of acute coronary syndrome (ACS) in subjects suspect of having ACS. In particular, systems and methods are provided that employ additive decision tree based algorithms to process a subject's initial cardiac troponin I or T (cTnI or cTnT) concentration, a subject's cTnI or cTnT rate of change, and at least one of the following: the subject's age, the subject's gender, the subject's ECG value, the subject's hematology parameter value, to generate an estimate risk of ACS. Such risk stratification allows, for example, patients to be ruled in or rule out with regard to needing urgent treatment.