Abstract:
The invention provides a monitoring device that features: 1) a cardiac sensor component with at least one light-emitting diode and a photodetector; 2) a pedometer component with at least one motion-sensing component (e.g., an accelerometer); and 3) a wireless component with a wireless interface that communicates with an external weight scale. The device also features a microprocessor in electrical communication with the cardiac sensor, pedometer, and wireless components and configured to analyze: 1) a signal from the cardiac sensor component to generate heart rate information; 2) a signal from the pedometer component to generate exercise information; 3) heart rate and exercise information to generate calorie information; and 4) a signal from the external weight scale to calculate weight information (e.g., weight and percent body fat).
Abstract:
The invention provides a method for identifying patients who will require multiple invasive cardiac procedures comprising measuring elevated LDL IVb levels in patients who have had or will have invasive heart surgery.
Abstract:
The present invention provides methods, kits, and compositions for purifying HDL molecules from a sample (e.g., blood sample) using HDL tagging molecules comprising an HDL lipophilic core binding peptide (e.g., portion of ApoA1) and an affinity tag. The present invention also provides methods, kits, and compositions for detecting non-fragmented ApoA1 with mass spectrometry. The present invention further provides methods, kits, and compositions for tagging HDL molecules in a sample with detectably labeled ApoA1 molecules such that the ratio of detectably labeled ApoA1 molecules to native ApoA1 proteins may be determined.
Abstract:
The invention provides a system for monitoring a patient that includes: 1) a blood test that measures an Apo E genotype or a derivative thereof from the patient to generate Apo B information; 2) a database that receives and stores the patient's Apo E information; and 3) an Internet-based system connected to the database and configured to process the Apo E information with an algorithm that, in response, generates a diet and treatment plan for the patient.
Abstract:
The invention provides a data base of LDL, I, IIa, IIb, IIIa, IIb, IVa, IVb and HDL2a, HDL2b, HDL 3a, HDL 3b and HDL 3c together with patient data such as HDL-C, LDL-C, Apo A, ApoB, Lp(a) and patient personal data useful for treatment, diagnosing, and monitoring cardiovascular disease. The data base contains the LDL and HDL subfraction data in quantitative mg/dl values and permits deriving relationship amongst the LDL and HDL values and cardiovascular disease. Quantitative data permits more effective treatment and monitoring of cardiovascular disease. For example, quantitative differences in LDL and HDL subclass levels can determine the need for more or less aggressive treatment. The data base which includes patient events, procedures, interventions which is correlated to LDL and HDl quantitative subclass data permits development of personalized patient treatment plans and monitoring the effectiveness of such treatment. Thus, LDL and HDL quantitative subfraction data can be used to more effectively treat and monitor cardiovascular disease.The invention, for example, provides a method for identifying patients with normal NCEP lipid levels who are in need of treatment for cardiovascular disease comprising measuring one or more LDL or HDL particle subclass levels and identifying abnormal LDL or HDL subclass levels. LDL III a & b and HDL 2b are preferred subclasses.
Abstract:
This invention is directed to a data base which contains data for HDL2b, LDL IIIa & LDL IIIb and LDL IVb subclasses all in mg/Dl and which is correlated to cardiovascular disease.
Abstract:
The invention provides a system for monitoring a patient that includes: 1) a blood test that measures an Apo E genotype or a derivative thereof from the patient to generate Apo B information; 2) a database that receives and stores the patient's Apo E information; and 3) an Internet-based system connected to the database and configured to process the Apo E information with an algorithm that, in response, generates a diet and treatment plan for the patient.
Abstract:
The invention provides a method (e.g., a computer algorithm) for calculating a number of particles in a LDL subfraction. The method features the steps of: 1) measuring an initial distribution of LDL particles (e.g., a relative mass distribution) from a blood sample; 2) processing the initial distribution of LDL particles with a mathematical model to determine a modified distribution of LDL particles (e.g., a relative particle distribution); 3) determining a total LDL particle number value from a blood sample; and 4) analyzing both the modified distribution of particles and the total LDL particle number value to calculate the particle number value in an LDL subfraction.
Abstract:
An ECG management system provides a computer-assisted Quality Assurance step in an ECG management system. This step is preferably performed prior to releasing ECGs to the cardiologists for interpretation placement in the patient's permanent records. It involve comparing the ECG wave data to previously collected ECG data for the same and/or different named patients to enable error correction and/or proper patient naming.
Abstract:
Provided herein are methods, systems, and compositions for Lp-PLA2 detection assays that employ amounts of detergent to liberate all or nearly all of the Lp-PLA2 molecules from associated lipoprotein particles. In this regard, the true Lp-PLA2 concentration can be detected in a sample, which correlates better with known Lp-PLA2 activity assays.