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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: BACKGROUND, METHODS, RESULTS. Meshes: Aged, Aged, 80 and over, Blood Culture, C-Reactive Protein, Calcitonin, Female, Gram-Negative Bacteria, Gram-Negative Bacterial Infections, Gram-Positive Bacterial Infections, Gram-Positive Cocci, Humans, Leukocyte Count, Male, Middle Aged, Platelet Count, Predictive Value of Tests, Principal Component Analysis, Retrospective Studies, Sepsis.
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Do procalcitonin levels predict to identify bacterial strains in blood cultures of septic patients? Context: 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). 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. 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.
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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. Final Decision: yes