Medical Xpress June 11, 2024
Sepsis—the leading cause of mortality in children around the world—can present with a wide range of signs and symptoms, making a one-size-fits-all treatment strategy ineffective. Pursuing a precision medicine approach for pediatric sepsis, researchers used artificial intelligence to analyze a large set of clinical data and find a distinct group of patients who might respond better to targeted treatments.
These children share clinical characteristics described as PHES, or persistent hypoxemia (abnormally low oxygen levels in the blood), encephalopathy (brain function disturbance) and shock, which is a highly lethal pattern within sepsis presentations. A recent study validated this pattern and discovered that PHES overlaps with biomarkers that indicate excessive levels of inflammation and endothelial activity (which works in tandem with an...
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