Sepsis is a serious condition that requires fast identification. This review looks at how doctors find the illness early. It compares older methods, like the SOFA score, with newer tools such as sTREM-1 and presepsin. These new markers are being studied to see if they can provide a faster diagnosis than traditional clinical scores.
In addition to biological markers, the review explores high-tech solutions. These include the Sepsis ImmunoScore and machine learning algorithms. These tools aim to use complex data to spot signs of infection more accurately. Because this is a narrative review, it summarizes existing information rather than testing these tools in a new clinical trial.
It is important to note that while these technologies show promise for early detection, the review does not provide specific statistics on how well each individual tool works. These methods are currently being explored as ways to improve diagnosis and precision. Patients should talk with their doctors about current standards of care.
