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Pre-analytic factors and initial biomarker levels in community- acquired pneumonia patients
Critical Care volume 18, Article number: P221 (2014)
Blood biomarkers are increasingly used to diagnose, guide therapy in, and risk-stratify community-acquired pneumonia (CAP) patients in emergency departments (EDs). How pre-analytic factors affect these markers' initial levels in this population is unknown.
In this secondary analysis of consecutive ED patients with CAP from a large multicentre antibiotic stewardship trial , we used adjusted multivariate regression models to determine the magnitude and statistical significance of differences in mean baseline concentrations of five biomarkers (procalcitonin (PCT), C-reactive protein (CRP), white blood cell count, proadrenomedullin (ProADM), copeptin) associated with six pre-analytic factors (antibiotic or corticosteroid pretreatment, age, gender, chronic renal failure or liver insufficiency).
Of 925 CAP patients (median age 73 years, 58.8% male), 25.5% had antibiotic pretreatment, 2.4%, corticosteroid pretreatment, 22.3% chronic renal failure, and 2.4% chronic liver insufficiency. Differences associated with pre-analytic factors averaged 6.1 ± 4.6%; the three largest statistically significant changes (95% Cl) were: PCT, +14.2% (+2.1 to +26.4%, P = 0.02) in patients with liver insufficiency; ProADM, + 13.2% (+10.2 to +16.1%, P < 0.01) in patients with age above median; and CRP, -12.8% (-25.4 to -0.2%, P = 0.05) with steroid pretreatment.
The influence of pre-analytic factors on the examined biomarkers is marginal and not clinically relevant. Our observations reinforce the concept ofusing biomarkers in algorithms with widely- separated cutoff values and overruling criteria considering the entire clinical picture, without adjustment for pre-analytic factors.
chuetz , et al.: JAMA. 2009, 302: 1059-1066. 10.1001/jama.2009.1297
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Kutz, A., Grolimund, E., Mueller, B. et al. Pre-analytic factors and initial biomarker levels in community- acquired pneumonia patients. Crit Care 18 (Suppl 1), P221 (2014). https://doi.org/10.1186/cc13411
- Chronic Renal Failure
- Multivariate Regression Model
- Antibiotic Stewardship
- Liver Insufficiency