Abstract: Systems and methods for characterizing immune response to infection using cellular analysis, such as a hematological cellular analyzer. In some instances, the immune response may be characterized as normal or abnormal based on one or more blood cell population parameters. In some instances, abnormal characterization may be used to identify patients with sepsis or at elevated risk of developing sepsis.

Abstract: Systems and methods for characterizing immune response to infection using cellular analysis, such as a hematological cellular analyzer. In some instances, the immune response may be characterized as normal or abnormal based on one or more blood cell population parameters. In some instances, abnormal characterization may be used to identify patients with sepsis or at elevated risk of developing sepsis.

Abstract: Embodiments may include an automated method for evaluating a sepsis status associated with a blood sample obtained from an individual. Methods may include determining a standard deviation of monocyte volume associated with the blood sample. Methods may include determining a white blood cell count (WBC) associated with the blood sample. Methods may include evaluating, using a data processing module, the sepsis status associated with the blood sample. The data processing module may include a processor and a computer application. This computer application may cause the processor to compare the standard deviation of monocyte volume with a first cutoff value to provide a comparison. The computer application may cause the processor to compare the WBC to a second cutoff to provide a second comparison. The computer application may also cause the processor to evaluate the sepsis status associated with the blood sample based on the first comparison and the second comparison.

Abstract: Embodiments may include an automated method for evaluating an infection status associated with a blood sample obtained from an individual. Methods may include determining, using a first module, a white blood cell concentration associated with the blood sample. In addition, methods may include determining, using a second module, a monocyte volume measure associated with the blood sample. Methods may include evaluating, using a data processing module, the infection status associated with the blood sample. The data processing module may include a processor and a computer readable medium. The computer readable medium may be programmed with a computer application. This computer application, when executed by the processor, may cause the processor to calculate a parameter using a function comprising the white blood cell concentration and the monocyte volume measure. The computer application may also cause the processor to evaluate the infection status associated with the blood sample based on the parameter.

Abstract: Embodiments may include an automated method for evaluating an infection status associated with a blood sample obtained from an individual. Methods may include determining, using a first module, a white blood cell concentration associated with the blood sample. In addition, methods may include determining, using a second module, a monocyte volume measure associated with the blood sample. Methods may include evaluating, using a data processing module, the infection status associated with the blood sample. The data processing module may include a processor and a computer readable medium. The computer readable medium may be programmed with a computer application. This computer application, when executed by the processor, may cause the processor to calculate a parameter using a function comprising the white blood cell concentration and the monocyte volume measure. The computer application may also cause the processor to evaluate the infection status associated with the blood sample based on the parameter.

Abstract: Systems and methods for characterizing immune response to infection using cellular analysis, such as a hematological cellular analyzer. In some instances, the immune response may be characterized as normal or abnormal based on one or more blood cell population parameters. In some instances, abnormal characterization may be used to identify patients with sepsis or at elevated risk of developing sepsis.

Abstract: Using vital sign measurements, such as systolic blood pressure (SBP), when combined with hematology parameters such as White Blood Cell Count (WBC) and Monocyte Distribution Width (MDW), has been identified as an improved method for detecting sepsis. The probability of having or developing sepsis is determined when each measurement is compared to a predetermined criteria and the combination of measurements that are within a reference range determines this probability.

Abstract: Systems and methods for characterizing immune response to infection using cellular analysis, such as a hematological cellular analyzer. In some instances, the immune response may be characterized as normal or abnormal based on one or more blood cell population parameters. In some instances, abnormal characterization may be used to identify patients with sepsis or at elevated risk of developing sepsis.

Abstract: Embodiments of the present disclosure may allow for an efficient and accurate way or system to assess whether an individual has sepsis, including an individual who may exhibit symptoms or clinical criteria similar to inflammation. Embodiments include using a laboratory test that may be routinely ordered. Embodiments of the present invention may allow for the diagnosis of sepsis even when some cells show an abnormal size. Often, when white blood cells show a likelihood of an abnormal size, a “blast flag” in a system is triggered to warn a user that the sample may warrant further analysis. Unexpectedly, the diagnosis of sepsis status using standard deviation of monocyte volume may be more accurate when considering whether a blast flag has been triggered. Based on the sepsis status, treatment may be started quickly, thereby preventing complications, including organ failure and death, of not treating sepsis fast enough.

Abstract: Embodiments may include an automated method for evaluating an infection status associated with a blood sample obtained from an individual. Methods may include determining, using a first module, a white blood cell concentration associated with the blood sample. In addition, methods may include determining, using a second module, a monocyte volume measure associated with the blood sample. Methods may include evaluating, using a data processing module, the infection status associated with the blood sample. The data processing module may include a processor and a computer readable medium. The computer readable medium may be programmed with a computer application. This computer application, when executed by the processor, may cause the processor to calculate a parameter using a function comprising the white blood cell concentration and the monocyte volume measure. The computer application may also cause the processor to evaluate the infection status associated with the blood sample based on the parameter.

Abstract: Embodiments may include an automated method for evaluating a sepsis status associated with a blood sample obtained from an individual. Methods may include determining a standard deviation of monocyte volume associated with the blood sample. Methods may include determining a white blood cell count (WBC) associated with the blood sample. Methods may include evaluating, using a data processing module, the sepsis status associated with the blood sample. The data processing module may include a processor and a computer application. This computer application may cause the processor to compare the standard deviation of monocyte volume with a first cutoff value to provide a comparison. The computer application may cause the processor to compare the WBC to a second cutoff to provide a second comparison. The computer application may also cause the processor to evaluate the sepsis status associated with the blood sample based on the first comparison and the second comparison.

Abstract: New diagnostic indexes and the method of use for detection of iron deficiency have been disclosed. These include a logistic function of mean cell hemoglobin (MCH) and mean cell volume (MCV), and a logistic function of mean cell hemoglobin concentration (MCHC) and MCH.

Abstract: New diagnostic indexes and the method of use for detection of iron deficiency have been disclosed. These include a logistic function of mean cell hemoglobin (MCH) and mean cell volume (MCV), and a logistic function of mean cell hemoglobin concentration (MCHC) and MCH.