Abstract: A system and method provides a glucose report for determining glycemic risk based on an ambulatory glucose profile of glucose data over a time period, a glucose control assessment based on median and variability of glucose, and indicators of high glucose variability. Time of day periods are shown at which glucose levels can be seen. A median glucose goal and a low glucose line provide coupled with glucose variability provide a view into effects that raising or lowering the median goal would have. Likelihood of low glucose, median glucose compared to goal, and variability of glucose below median provide probabilities based on glucose data. Patterns can be seen and provide guidance for treatment.

Abstract: Generally, methods of analyte monitoring management, and articles of manufacturing related thereto, are provided. The methods include receiving analyte measurement data and analyzing the analyte measurement data for health related parameters. Recommendations are determined for creating or modifying a treatment program based on the analysis, and provided within a user-interface that enables a user to create or modify the treatment program. Further, generally, methods of for managing analyte measurement data, and articles of manufacturing related thereto, are provided. The methods include receiving analyte measurement data that represent data collected over a time period, and analyzing the analyte measurement data for analyte episodes within that time period. Threshold based episodes and/or rate-of-change based episodes may be determined.

Abstract: Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

Abstract: Generally, methods of analyte monitoring management, and articles of manufacturing related thereto, are provided. The methods include receiving analyte measurement data and analyzing the analyte measurement data for health related parameters. Recommendations are determined for creating or modifying a treatment program based on the analysis, and provided within a user-interface that enables a user to create or modify the treatment program. Further, generally, methods of for managing analyte measurement data, and articles of manufacturing related thereto, are provided. The methods include receiving analyte measurement data that represent data collected over a time period, and analyzing the analyte measurement data for analyte episodes within that time period. Threshold based episodes and/or rate-of-change based episodes may be determined.

Abstract: A method of providing personalized treatment for a diabetes patient including a remote device which is configured to receive a first data indicative of an analyte level of a subject during a first time period, retrieve a first glycated hemoglobin level for the subject associated with the first time period, calculate a first personal apparent glycation ratio for the first time period using the received first data and the retrieved first glycated hemoglobin level, compare the calculated first personal apparent glycation ratio to a representative apparent glycation ratio, generate a recommendation based on the comparison, and display a graphical interface comprising the calculated first personal apparent glycation ratio, the representative apparent glycation ratio, and the comparison.

Abstract: A test and measurement device includes a graphical display that may act as an adjunct to a CIE chromaticity diagram 100 when analyzing color images. The graphical display shows indications of excursions of pixel color that are outside the boundary of a selected gamut. The graphic display may show the indications of excursions relative to one or more reference points.

Abstract: Analyte monitoring systems, devices, and methods associated with analyte monitoring devices, and devices incorporating the same are provided. Various graphical user interfaces (GUI) and navigation flows are provided for performing various features, activities, functions, etc., associated with the analyte monitoring device or system. Intuitive navigation is provided to enhance the interpretation of analyte measurements.

Abstract: Physiological parameters that related to the kinetics of red blood cell hemoglobin glycation, red blood cell elimination, and red blood cell generation within the body of a subject can be used, for example, to calculate a more reliable calculated HbA1c (cHbA1c), adjusted HbA1c (aHbA1c), and/or a personalized target glucose range, among other things, for subject-personalized diagnoses, treatments, and/or monitoring protocols. Such physiological parameters may be determined using a model that considers cross-membrane glucose transport and glycation.

Abstract: A method for deriving physiological parameters may include: measuring a glucose level of a subject over time; measuring a HbA1c of individual red blood cells in a sample comprising a plurality of red blood cells; deriving a measured cellular HbA1c distribution of the sample; and calculating at least one physiological parameter selected from the group consisting of (a) a red blood cell elimination constant (kage), (b) a red blood cell glycation rate constant (kgly), and/or (c) an apparent glycation constant (K) based on the measured cellular HbA1c distribution and the glucose levels of the subject over time.

Abstract: Methods, devices, and systems may use a kinetic model to determine physiological parameters related to the kinetics of red blood cell glycation, elimination, and generation. Such physiological parameters can be used, for example, to determine a more reliable calculated HbA1c. In another example, a method may comprise: receiving a plurality of glucose levels over a time period; receiving a glycated hemoglobin (HbA1c) level corresponding to an end of the time period; determining at least one physiological parameter selected from the group consisting of: a red blood cell glycation rate constant (kgly), a red blood cell generation rate constant (kgen), a red blood cell elimination constant (kage), and an apparent glycation constant (K), based on (1) the plurality of glucose levels and (2) the HbA1c level; and adjusting a glucose level target based on the at least one physiological parameter.

Abstract: Analyte monitoring systems, devices, and methods associated with analyte monitoring devices, and devices incorporating the same are provided. Various graphical user interfaces (GUI) and navigation flows are provided for performing various features, activities, functions, etc., associated with the analyte monitoring device or system. Intuitive navigation is provided to enhance the interpretation of analyte measurements.

Abstract: Analyte monitoring systems, devices, and methods associated with analyte monitoring devices, and devices incorporating the same are provided. Various graphical user interfaces (GUI) and navigation flows are provided for performing various features, activities, functions, etc., associated with the analyte monitoring device or system. Intuitive navigation is provided to enhance the interpretation of analyte measurements.

Abstract: A method can include receiving, using one or more processors, a first record including a first data associated with a personal identification from a first database, receiving, using the one or more processors, a second record including a second data associated with a user identification from a second database, pairing, using the one or more processors, the first data and the second data based upon a shared data item contained in the first record and the second record, and displaying, using one or more processors, a report based upon the first data and the second data.

Abstract: A system and method provides a glucose report for determining glycemic risk based on an ambulatory glucose profile of glucose data over a time period, a glucose control assessment based on median and variability of glucose, and indicators of high glucose variability. Time of day periods are shown at which glucose levels can be seen. A median glucose goal and a low glucose line provide coupled with glucose variability provide a view into effects that raising or lowering the median goal would have. Likelihood of low glucose, median glucose compared to goal, and variability of glucose below median provide probabilities based on glucose data. Patterns can be seen and provide guidance for treatment.

Abstract: A system and method to provide guidance for diabetes therapy includes determining glycemic risks based on an analysis of glucose data. The analysis includes visualization of a glucose median, the variability of glucose in a patient, and the risk of hypoglycemia. An Advanced Daily Patterns report includes a visualization of an ambulatory glucose profile and a glucose control measure. The glucose control measure provides a highly visible and understandable display of the glucose condition of a patient visually expressed in the categories of low glucose, median glucose, and glucose variability.

Abstract: Methods, devices, and systems may use a kinetic model to determine physiological parameters related to the kinetics of red blood cell glycation, elimination, and generation. Such physiological parameters can be used, for example, to determine a more reliable calculated HbA1c. In another example, a method may comprise: receiving a plurality of glucose levels over a time period; receiving a glycated hemoglobin (HbA1c) level corresponding to an end of the time period; determining at least one physiological parameter selected from the group consisting of: a red blood cell glycation rate constant (kgly), a red blood cell generation rate constant (kgen), a red blood cell elimination constant (kage), and an apparent glycation constant (K), based on (1) the plurality of glucose levels and (2) the HbA1c level; and adjusting a glucose level target based on the at least one physiological parameter.

Abstract: Methods are taught for treating chronic wounds and skin and soft tissue infections with antibiotic tumescent injection. In such methods, the region of tumescent drug delivery is monitored and expanded by the infusate in order to be 2×-5× larger in area and volume in the region of the wound or infection, the drug in the infusate creates a tissue concentration greater than the MIC in the tumescent volume for selected period of time, and the high concentration has a residence lifetime in the tissue long enough to kill the bacteria. Typically, the methods are performed without the use of vasoconstrictors such as epinephrine and in a manner that avoids physical manipulation of the wound.