Multidrug-resistant bacterial infections are a growing global health concern. Hospital-acquired pneumonia is one of the most common infections occurring during hospitalization and can be associated with high mortality, reaching up to 50% in severe cases. One of the main reasons for poor outcomes is the delay in starting the most appropriate antibiotic treatment. Standard laboratory methods used to identify the bacteria and determine which antibiotics are effective usually take between 48 and 96 hours to provide results. During this time, patients often receive broad-spectrum antibiotics, which may not be optimal and can contribute to antimicrobial resistance. Rapid diagnostic tests, such as the BIOFIRE® FILMARRAY® Pneumonia Panel, can detect multiple bacteria and important resistance markers directly from respiratory samples in about one hour. These tests are already approved for use in Brazil and are easy to perform. Previous studies in patients with community-acquired pneumonia have shown that these rapid tests can help doctors choose more appropriate antibiotics earlier and may improve patient outcomes. However, their benefit has not been well studied in patients with hospital-acquired pneumonia, especially in settings where multidrug-resistant bacteria are common. In these situations, early and appropriate adjustment of antibiotic therapy is particularly important for improving outcomes and ensuring the responsible use of advanced antibiotics. This study aims to compare the use of rapid diagnostic panels with standard laboratory methods in hospitalized patients with suspected pneumonia. The main focus is to evaluate how quickly and how appropriately antibiotic treatment can be adjusted after sample collection, using a structured scoring system, the Desirability of Outcome Ranking for the Management of Antimicrobial Therapy(DOOR-MAT), as well as to assess clinical outcomes. The results of this study may help determine whether rapid diagnostic testing improves patient care in real-world hospital settings. The findings could support decision-making within the Brazilian Unified Health System (SUS) regarding the adoption of this technology, and may also contribute to future analyses of its cost-effectiveness.
Age range
18 Years
Sex
ALL
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Adequacy of antimicrobial prescriptions using the Desirability of Outcome Ranking for the Management of Antimicrobial Therapy (DOOR-MAT).
Timeframe: 24 hours after the sample receipt in the microbiology laboratory