Sepsis biomarkers change continuously during the postoperative period. We aimed to demonstrate the influence of immunosuppressants after transplantation (Tx) on presepsin, procalcitonin, CRP, white blood cells, and IL-6. A group of 140 patients after major surgery (86 non-Tx, 54 Tx) without any signs of sepsis or infectious complications was followed for 7 days. The changes in biomarkers were analyzed with respect to the type of surgery, organ, and induction immunosuppressant used (antithymocyte globulin, corticosteroids, or basiliximab/rituximab). Concentrations (95th percentiles) of presepsin and procalcitonin were higher in the Tx group (presepsin: Tx < 2380 vs. non-Tx < 1368 ng/L, p < 0.05; procalcitonin: <28.0 vs. 3.49 μg/L, p < 0.05). In contrast, CRP and IL-6 were lower in the Tx group (CRP: Tx < 84.2 vs. non-Tx < 229 mg/L, p < 0.05; IL-6: <71.2 vs. 317 ng/L, p < 0.05). Decreases in CRP and IL-6 were found for all immunosuppressants, and procalcitonin was increased after antithymocyte globulin and corticosteroids. Negligible changes were found for white blood cells. Different responses of presepsin, procalcitonin, CRP, and IL-6 were therefore found in patients without any infectious complications after major surgery or transplantation. Immunosuppression decreased significantly IL-6 and CRP in comparison to non-Tx patients, while procalcitonin was increased after corticosteroids and antithymocyte globulin only. Cautious interpretation of sepsis biomarkers is needed in the early posttransplant period. This work was conducted as a noninterventional (nonregistered) study.

• MeSH
• biologické markery krev   MeSH
• C-reaktivní protein metabolismus   MeSH
• imunosupresiva terapeutické užití   MeSH
• interleukin-6 krev   MeSH
• lidé středního věku MeSH
• lidé MeSH
• senioři MeSH
• sepse krev   MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• senioři MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• biologické markery MeSH
• C-reaktivní protein MeSH
• imunosupresiva MeSH
• interleukin-6 MeSH

The aging population and increased incidence of severe bacterial infection can lead to sepsis. Interest to early identification of endangered patients and identification of pathogen do not always confirm the infection. To use biomarkers can help in early identification of infection and opportunity to start therapy timeously. All biomarkers were defined in 33 out of 96 patients. Thirty-two (97 %) patients had bacterial infection and 1 (3 %) patient had systemic inflammatory response syndrome (SIRS) without infection. PCR confirmed the infection in 27 cases and blood cultures in 8. Area under curve (AUC) for CD64 was 1.00, meanwhile other biomarkers showed 2-fold smaller AUC for positive infection. CD64 index was associated with bacterial infection (p<0.001) and could be used to confirm assessment of SIRS severity (p=0.037). As regards to our results, limited to only 33 patients, CD64 index served as a good parameter to predict bacterial infection and determine severity. The use of broad range 16S ribosomal RNA (rRNA) PCR proved to be an excellent tool to confirm bloodstream infection. The CD64 index had the highest AUC, which exceeded all the others, and could be used to predict the outcome of broad range 16S rRNA PCR from whole blood. However, C-reactive protein (CRP), procalcitonin (PCT) and sCD14 are much easier and faster to measure, but the values could be elevated in other clinical assessments.

• MeSH
• Bacteria genetika   izolace a purifikace   MeSH
• bakteriemie diagnóza   MeSH
• biologické markery analýza   MeSH
• diagnostické testy rutinní metody   MeSH
• DNA bakterií genetika   MeSH
• lidé MeSH
• neutrofily chemie   MeSH
• polymerázová řetězová reakce MeSH
• receptory IgG analýza   MeSH
• ribozomální DNA chemie   genetika   MeSH
• RNA ribozomální 16S genetika   MeSH
• ROC křivka MeSH
• stupeň závažnosti nemoci * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• hodnotící studie MeSH
• Názvy látek
• biologické markery MeSH
• DNA bakterií MeSH
• receptory IgG MeSH
• ribozomální DNA MeSH
• RNA ribozomální 16S MeSH