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New model could help doctors choose the right antibiotics faster for sepsis

NCT ID NCT07167173

First seen Nov 01, 2025 · Last updated May 23, 2026 · Updated 31 times

Summary

This study aims to create a predictive model that helps doctors quickly identify which sepsis patients in the emergency department are likely to have drug-resistant infections. By analyzing data from 10,000 adults, researchers hope to improve antibiotic selection, reduce the spread of resistance, and save lives. The study does not test a new treatment but focuses on gathering information to build a better decision-making tool.

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