Publications by authors named "Laetitia Velly"
Objective: We aimed to show that coupling molecular syndromic respiratory panel (RP) testing with procalcitonin (PCT) measurement in the emergency department improves antibiotic (ATB) stewardship in lower respiratory tract infection.
Methods: Open-label, prospective, randomized interventional trial, conducted from 2019 to 2022 in an adult emergency department. Patients with a suspicion of lower respiratory tract infection were randomized into an intervention arm (PCT measurement and point-of-care BIOFIRE RP2.
Article Synopsis
- The study examined how acute pain and analgesics affect stress biomarkers (cortisol and copeptin) in healthy volunteers during a controlled pain simulation.
- Results showed that cortisol levels dropped significantly during pain stimulation, while copeptin levels remained mostly unchanged.
- After opioid administration, cortisol levels slightly increased, suggesting opioids may enhance cortisol response, whereas copeptin did not show any significant change.
Monocyte distribution width (MDW) performance as an early sepsis indicator in the emergency department: comparison with CRP and procalcitonin in a multicenter international European prospective study.
Crit Care
June 2021
Background: Early sepsis diagnosis has emerged as one of the main challenges in the emergency room. Measurement of sepsis biomarkers is largely used in current practice to improve the diagnosis accuracy. Monocyte distribution width (MDW) is a recent new sepsis biomarker, available as part of the complete blood count with differential.
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- The study aimed to identify the most effective combination of biomarkers for diagnosing infection and sepsis in emergency room patients.
- Researchers evaluated 30 different biomarkers in a cohort of 291 patients suspected of having infections and used advanced statistical methods to determine the optimal combinations.
- The findings revealed that specific biomarker combinations could accurately distinguish between bacterial and viral infections, achieving high predictive accuracy with area under the curve (AUC) values of 0.94 and 0.98, respectively.