Procalcitonin-based algorithm (ALGOPRO) for antibiotic and hospitalization decisions in adult patients with fever in the emergency department: A pilot study
Heckel, Thomas
Procalcitonin-based algorithm (ALGOPRO) for antibiotic and hospitalization decisions in adult patients with fever in the emergency department: A pilot study - 2024.
48
IntroductionProcalcitonin is a biomarker used in cases of suspected lower respiratory tract infections. The aim of this study was to validate the safety of a procalcitonin-based algorithm for antibiotic therapy and hospitalization decisions in patients presenting to the emergency department (ED) with fever.MethodsProspective open-label interventional pilot study in adult patients presenting to the ED with a temperature ≥38°C. We used an algorithm to decide on antibiotic treatment and hospital admission, which took into account the following variables: immunosuppression, existing infectious site, severe sepsis, and procalcitonin value. The primary endpoint was an adverse event (AE), defined as an erroneous abstention (hospitalization for the same infectious episode during follow-up or justified secondary prescription of antibiotics within 7 days of ED visit). The secondary endpoint was a serious adverse event (SAE: death or ICU admission within 30 days). An AE rate of ResultsOut of 210 patients included for analysis, 137 decisions to withhold antibiotics and hospital admission were made. Using the algorithm resulted in 0 SAEs (CI95% 0 to 2.7%) and 8 AEs (5.8%, CI95% 1.9 to 10.0%).ConclusionAn algorithm that incorporates clinical data and procalcitonin levels for adult patients presenting with fever in ED could improve the rational use of antibiotics in ED.
Procalcitonin-based algorithm (ALGOPRO) for antibiotic and hospitalization decisions in adult patients with fever in the emergency department: A pilot study - 2024.
48
IntroductionProcalcitonin is a biomarker used in cases of suspected lower respiratory tract infections. The aim of this study was to validate the safety of a procalcitonin-based algorithm for antibiotic therapy and hospitalization decisions in patients presenting to the emergency department (ED) with fever.MethodsProspective open-label interventional pilot study in adult patients presenting to the ED with a temperature ≥38°C. We used an algorithm to decide on antibiotic treatment and hospital admission, which took into account the following variables: immunosuppression, existing infectious site, severe sepsis, and procalcitonin value. The primary endpoint was an adverse event (AE), defined as an erroneous abstention (hospitalization for the same infectious episode during follow-up or justified secondary prescription of antibiotics within 7 days of ED visit). The secondary endpoint was a serious adverse event (SAE: death or ICU admission within 30 days). An AE rate of ResultsOut of 210 patients included for analysis, 137 decisions to withhold antibiotics and hospital admission were made. Using the algorithm resulted in 0 SAEs (CI95% 0 to 2.7%) and 8 AEs (5.8%, CI95% 1.9 to 10.0%).ConclusionAn algorithm that incorporates clinical data and procalcitonin levels for adult patients presenting with fever in ED could improve the rational use of antibiotics in ED.
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