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To evaluate novel microbiological techniques for enhanced Pathogen Identification, assess the speed and efficiency of the integrated approach in providing timely diagnostic results, aiming to reduce the turnaround time for CAP diagnosis and subsequently improve patient outcomes and evaluate the clinical impact of enhanced precision in CAP diagnosis on treatment decisions, including the potential for targeted and more effective antimicrobial therapy based on accurate pathogen identification.
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Community-acquired pneumonia (CAP) is the term used to describe an acute infection of the lungs that develops outside the hospital setting in a patient who has not been recently hospitalized.
Community-acquired pneumonia (CAP) is one of the most common infectious diseases and is a significant cause of mortality and morbidity globally despite preventative measures aimed at combating CAP.
These measures include pneumococcal vaccination of at-risk groups, yearly vaccinations for seasonal influenza viruses and since 2021, SARS-CoV-2 vaccination.
Understanding the etiology of CAP is crucial for accurate empirical antibiotic treatment, updating treatment guidelines, and future vaccine cost-benefit analyses. Currently, microbiological testing for CAP patients does not identify the etiology of most cases.
In contrast, molecular biology techniques, are rapid and sensitive for the diagnosis of pathogens. Furthermore, a multitude of nascent technologies, including multiplex real-time PCR; that detect multiple respiratory pathogens including both bacteria and viruses from a single respiratory tract sample and microarray methodologies, have become accessible for employment in clinical settings.
Improved diagnostics may change the management of CAP infections ,prompt identification of the appropriate organism would allow antibiotic de-escalation, which would decrease cost, adverse drug effects and antibiotic resistance pressure. These clinical interventions potentially translate to a reduced length of stay and financial savings for the patient, as well as an improved therapeutic outcome.
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Areej Saleh
Data sourced from clinicaltrials.gov
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