Early Detection of Sepsis
First Claim
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1. Method for screening a biological sample to detect early stages of infection, SIRS or sepsis comprising the steps of:
- a) detecting expression of a set of informative biomarkers by RT-PCR and/or detecting expression of a set of informative cell surface biomarkers by means of flow cytometry and/or monitoring a set of standard clinical measurementsb) analysing the results of detection by means of neural network or multivariate statistical analysisc) classifying said sample according to the likelihood and timing of the development of overt infection.
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Abstract
The invention describes a system and method for detecting early signs of infection and, in particular, for identifying individuals most likely to develop sepsis. Measurement of expression levels of particular combinations of cytokines and/or cellular activation markers, optionally combined with the use of predictive algorithms, allows a high degree of accuracy of prediction. The method is applicable in both civilian and military contexts.
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19 Claims
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1. Method for screening a biological sample to detect early stages of infection, SIRS or sepsis comprising the steps of:
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a) detecting expression of a set of informative biomarkers by RT-PCR and/or detecting expression of a set of informative cell surface biomarkers by means of flow cytometry and/or monitoring a set of standard clinical measurements b) analysing the results of detection by means of neural network or multivariate statistical analysis c) classifying said sample according to the likelihood and timing of the development of overt infection. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 16, 17, 18, 19)
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14. System for screening a biological sample to detect early stages of infection, SIRS or sepsis comprising:
- a means of extracting and purifying RNA from cells in said sample, a thermal cycler or other means to amplify selected RNA sequences by means of reverse transcription polymerase chain reaction (RT-PCR), a means of detecting and quantifying the results of said RT-PCR, a computer-based neural network trained so as to be able to analyse such results and a display means whereby the conclusion of the neural network analysis may be communicated to an operator.
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15. System for screening a biological sample to detect early stages of SIRS or sepsis comprising:
- a means of labelling specific cell surface markers and quantifying expression of said markers, a means of detecting and quantifying the results of said labelling and quantification, a computer-based neural network trained so as to be able to analyse such results and a display means whereby the conclusion of the neural network analysis may be communicated to an operator. Preferably, the labelling is by means of labelled antibodies or antibody fragments and the quantification is by means of fluorescence-activated cell sorting (FACS) or other form of flow cytometry.
Specification