Systems and methods for using cell granularitry in evaluating immune response to infection
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.
1. A method for characterizing inflammatory response to infection, the method comprising:
a. flowing a body fluid sample through a flowcell, the body fluid sample comprising a heterogenous population of circulating cells; and
b. detecting whether a differentially expressed sepsis cell population parameter is present in the heterogenous population of circulating cells by performing steps comprising:
i. irradiating a plurality of cells in the body fluid sample in the flowcell;
ii. obtaining a plurality of measurements, wherein the plurality of measurements comprises, for one or more cells within the plurality of cells, a measurement of a cell granularity parameter; and
iii. generating the differentially expressed sepsis cell population parameter based on the plurality of measurements comprising, for one or more cells within the plurality of cells, the measurement of the cell granularity parameter, wherein the differentially expressed sepsis cell population parameter is a standard deviation of the measurements of the cell granularity parameter for the one or more cells within the plurality of cells.
2. The method of claim 1 wherein the body fluid sample is whole blood.
3. The method of claim 1 wherein the one or more cells within the plurality of cells are classified as non-nucleated red blood cells.
4. The method of claim 1 further comprising comparing the standard deviation of the measurements of the cell granularity parameter for the one or more cells within the plurality of cells to a reference range, wherein the inflammatory response to infection is characterized as abnormal if the standard deviation of the measurements of the cell granularity parameter for the one or more cells within the plurality of cells is outside the reference range.
5. The method of claim 4 , wherein:
a. the measurements of the cell granularity parameter for the one or more cells within the plurality of cells are upper median angle light scatter (UMALS) measurements;
b. the one or more cells within the plurality of cells are non-nucleated red blood cells;
c. the inflammatory response to infection is characterized as abnormal if the standard deviation of the measurements of the cell granularity parameter for the one or more cells within the plurality of cells is less than 43.
6. The method of claim 4 , further comprising determining whether a distribution width of measured volumes for a population of monocytes within the body fluid sample is within a second reference range.
7. The method of claim 6 , wherein the inflammatory response to infection is characterized as abnormal if the standard deviation of the measurements of the cell granularity parameter for the one or more cells within the plurality of cells is less than 43 and the distribution width of the volume of the monocytes (MDW) is greater than 19 channels.
8. The method of claim 4 further comprising determining whether a count of white blood cells in the body fluid sample is within a normal reference range.
9. The method of claim 8 , wherein the inflammatory response to infection is characterized as abnormal if the standard deviation of the measurements of the cell granularity parameter for the one or more cells within the plurality of cells is less than 43 and the count of white blood cells is less than 4,000 cells/mm 3 or greater than 12,000 cells/mm 3 .
10. The method of claim 4 wherein the cell granularity parameter is a measurement indicating how packed a cell is with proteins, organelles, and/or other granules.
11. The method of claim 1 wherein the cell granularity parameter is a measurement indicating how packed a cell is with proteins, organelles, and/or other granules.