One of the most deadly diseases is sepsis which causes the body to not releases helpful minerals in the blood to help fight infection. If it affects patients at later stages it gets impossible to save them. Being one of the major causes of death in hospitals, researchers are always seeking ways to be able to predict the appearance of the diseases in humans.
It is said that every hour delay in finding the diseases in a patients leads to a 7% reduction in the survival time of the patient. This is why the main approach to this disease is to find ways to detect it as early as possible to be able to provide the medicine that will prevent it or destroy it.
A recent study conducted by a team from the United Kingdom were able to create a model that might show threads of detection of sepsis. The study was conducted by National Early Warning Score (NEWS) used in the United Kingdom’s National Health Service hospitals; led by Professor Mohammed A. Mohammed, University of Bradford, Bradford, United Kingdom.
According to Dr. Mohammed, “The main advantage of these computer models is that they are designed to incorporate data that exist in the patient record, can be easily automated and place no extra burden on the hospital staff to collect additional information. These risk scores should support, rather than replace, clinical judgment. We hope they will heighten awareness of sepsis with additional information on this serious condition.”