Procalcitonin levels predict to identify bacterial strains in blood cultures of septic patients.
Am J Emerg Med. 2016 Nov;34(11):2150-2153
Authors: Arai T, Ohta S, Tsurukiri J, Kumasaka K, Nagata K, Okita T, Oomura T, Hoshiai A, Koyama M, Yukioka T
BACKGROUND: We examined whether the values obtained from principal component analysis (PCA) on laboratory tests can be used to predict bacterial infections and identify bacterial strains in blood culture (BC).
METHOD: This study is a single-center retrospective analysis of 315 patients suspected of having sepsis. We applied PCA on procalcitonin (PCT) and laboratory test biomarkers, namely, platelet (PLT), white blood cell, and C-reactive protein (CRP) as well as BC.
RESULTS: Principal component analysis showed that PCT, CRP, and PLT contributions to component 1 were associated with bacterial infection. The number of patients who had BC-negative results, gram-positive cocci (GPC), and gram-negative rods (GNRs) were 124, 28, and 19, respectively. The mean value of component 1 in GNR-positive patients was 1.58±1.41 and was significantly higher than that in GPC-positive patients (0.28±0.87; P<.0001). Furthermore, the mean values of component 1 in both GNR- and GPC-positive patients were significantly higher than that in BC-negative patients (-0.31±0.65; P<.0001 and P<.002, respectively). One certain range showing higher value more than 2.00 for component 1 and -1.00 for component 2 only included GNR-positive patients. There were no BC-positive patients who showed less than -1.00 for component 1.
CONCLUSION: The present results obtained by PCA on laboratory tests involving PCT, PLT, white blood cell, and CRP suggest the potential of PCA-obtained values to not only predict bloodstream infection but also identify bacterial strains. This provides some clinical significance in the management of sepsis in acute care.
PMID: 27592459 [PubMed - indexed for MEDLINE]