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May 2, 2024 · They were able to predict the onset of the complication 12 hours ahead of time with an AUC of 0.94, sensitivity 0.87, and specificity of 0.87. Their data suggests that, compared to unaided physician predictions, the algorithm has the potential to “increase the early detection of sepsis by up to 32% and reduce false positives by up to 17%.”
May 9, 2024 · The Urgency of a Sepsis Diagnosis. In an ideal scenario, you can identify and catch signs of an infection before it turns into sepsis. Your body often gives warning signs that something's not right. Keep an eye out for the earliest warning signs of an infection, such as: Cough.
3 hours ago · The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit. Int J Med Informatics. 2020;141: 104176. Article Google Scholar Singh YV, Singh P, Khan S, Singh RS. A machine learning model for early prediction and detection of sepsis in intensive care unit patients.
May 2, 2024 · This finding needs to be prospectively validated in different patient populations but highlights the fact that infection and sepsis rarely develop within hours but brew over several days, providing the opportunity for presymptomatic diagnosis and early targeted intervention.
4 days ago · How can you identify the origin of the infection? What are the lactate clearance, ScvO 2, and mean arterial pressure values that you must measure and monitor? What methods of fluid assessment should be used? Which vasopressor is the first-line choice? Antibiotics? Is there a role for imaging in sepsis?
May 21, 2024 · The clinical practice guideline issued by the Surviving Sepsis Campaign (SSC) emphasizes the importance of early identification and immediate management of infection, which includes obtaining cultures and measuring serum lactate as soon after patient presentation as possible.
6 days ago · Early identification of deterioration allows focus to be placed on the patient and not a definition and enables clinicians to get ahead of lagging indicators that are often used to define sepsis. Getting ahead of patient deterioration is a patient safety imperative.
