Biomarkers in pulmonary infections: a clinical approach.
Paula FernandesLuís CoelhoJosé Pedro CidadeAdrián CeccatoAndrew Conway MorrisJorge Ibrahin Figueira SalluhVandack NobreSaad NseirIgnacio Martín-LoechesThiago Costa LisboaPaula RamirezAnahita RouzéDaniel A SweeneyAndre C KalilPublished in: Annals of intensive care (2024)
Severe acute respiratory infections, such as community-acquired pneumonia, hospital-acquired pneumonia, and ventilator-associated pneumonia, constitute frequent and lethal pulmonary infections in the intensive care unit (ICU). Despite optimal management with early appropriate empiric antimicrobial therapy and adequate supportive care, mortality remains high, in part attributable to the aging, growing number of comorbidities, and rising rates of multidrug resistance pathogens. Biomarkers have the potential to offer additional information that may further improve the management and outcome of pulmonary infections. Available pathogen-specific biomarkers, for example, Streptococcus pneumoniae urinary antigen test and galactomannan, can be helpful in the microbiologic diagnosis of pulmonary infection in ICU patients, improving the timing and appropriateness of empiric antimicrobial therapy since these tests have a short turnaround time in comparison to classic microbiology. On the other hand, host-response biomarkers, for example, C-reactive protein and procalcitonin, used in conjunction with the clinical data, may be useful in the diagnosis and prediction of pulmonary infections, monitoring the response to treatment, and guiding duration of antimicrobial therapy. The assessment of serial measurements overtime, kinetics of biomarkers, is more informative than a single value. The appropriate utilization of accurate pathogen-specific and host-response biomarkers may benefit clinical decision-making at the bedside and optimize antimicrobial stewardship.
Keyphrases
- pulmonary hypertension
- community acquired pneumonia
- healthcare
- staphylococcus aureus
- intensive care unit
- decision making
- palliative care
- cardiovascular disease
- stem cells
- type diabetes
- ejection fraction
- cardiovascular events
- high resolution
- newly diagnosed
- risk factors
- risk assessment
- candida albicans
- mass spectrometry
- electronic health record
- antimicrobial resistance
- deep learning
- human health
- bone marrow
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome