A molecular biomarker to diagnose community-acquired pneumonia on intensive care unit admission

BP Scicluna, PMC Klein Klouwenberg… - American journal of …, 2015 - atsjournals.org
BP Scicluna, PMC Klein Klouwenberg, LA van Vught, MA Wiewel, DSY Ong
American journal of respiratory and critical care medicine, 2015atsjournals.org
Rationale: Community-acquired pneumonia (CAP) accounts for a major proportion of
intensive care unit (ICU) admissions for respiratory failure and sepsis. Diagnostic uncertainty
complicates case management, which may delay appropriate cause-specific treatment.
Objectives: To characterize the blood genomic response in patients with suspected CAP and
identify a candidate biomarker for the rapid diagnosis of CAP on ICU admission. Methods:
The study comprised two cohorts of consecutively enrolled patients treated for suspected …
Rationale: Community-acquired pneumonia (CAP) accounts for a major proportion of intensive care unit (ICU) admissions for respiratory failure and sepsis. Diagnostic uncertainty complicates case management, which may delay appropriate cause-specific treatment.
Objectives: To characterize the blood genomic response in patients with suspected CAP and identify a candidate biomarker for the rapid diagnosis of CAP on ICU admission.
Methods: The study comprised two cohorts of consecutively enrolled patients treated for suspected CAP on ICU admission. Patients were designated CAP (cases) and no-CAP patients (control subjects) by post hoc assessment. The first (discovery) cohort (101 CAP and 33 no-CAP patients) was enrolled between January 2011 and July 2012; the second (validation) cohort (70 CAP and 30 no-CAP patients) between July 2012 and June 2013. Blood was collected within 24 hours of ICU admission.
Measurements and Main Results: Blood microarray analysis of CAP and no-CAP patients revealed shared and distinct gene expression patterns. A 78-gene signature was defined for CAP, from which a FAIM3:PLAC8 gene expression ratio was derived with area under curve of 0.845 (95% confidence interval, 0.764–0.917) and positive and negative predictive values of 83% and 81%, respectively. Robustness of the FAIM3:PLAC8 ratio was ascertained by quantitative polymerase chain reaction in the validation cohort. The FAIM3:PLAC8 ratio outperformed plasma procalcitonin and IL-8 and IL-6 in discriminating between CAP and no-CAP patients.
Conclusions: CAP and no-CAP patients presented shared and distinct blood genomic responses. We propose the FAIM3:PLAC8 ratio as a candidate biomarker to assist in the rapid diagnosis of CAP on ICU admission.
Clinical trial registered with www.clinicaltrials.gov (NCT 01905033).
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