RESUMO
Infections and infectious complications are the major cause of morbidity and mortality in febrile neutropenic patients after autologous stem cell transplantation. Laboratory biomarkers are helpful for early identification of critically ill patients and optimal therapy management. Several studies in adult non-neutropenic patients proposed sTREM-1 as a superior biomarker for identification of septic patients as well as a predictor for survival in these patients compared with procalcitonin (PCT), C-reactive protein (CRP), or interleukin-8 (IL-8). Here, to assess the utility of PCT, CRP, IL-8, and sTREM-1 in febrile neutropenia, 44 patients presenting with febrile neutropenia after autologous stem cell transplantation were recruited in a single-center prospective pilot study. We analyzed PCT and CRP as well as IL-8 and sTREM-1 levels pre- and post-transplantation at defined time points. In 20 of 44 patients, concentration of sTREM-1 was under the detection level at appearance of febrile neutropenia. Mean levels of PCT, IL-8, and CRP were significantly increased in infections of critically ill patients who by dysfunction or failure of one or more organs/system depend on survival from advanced instruments of monitoring and therapy. However, all tested biomarkers could not distinguish between presence and absence of bloodstream infection. The combination of the biomarkers PCT and IL-8 achieved a high sensitivity of 90% and specificity of 74% for the identification of serious complications in febrile neutropenia, whereas the combination of CRP and PCT or IL-8 achieved a high sensitivity of 100%, but with the addition of a low specificity of 47or 41%. In conclusion, we found that the measurement of sTREM-1 concentration at presentation of febrile neutropenia is not useful to identify bacterial bloodstream infections and critically ill patients. PCT and IL-8 are useful biomarkers for the early identification of critically ill patients, compared to CRP and sTREM-1 in febrile neutropenia. PCT or IL-8 in combination with clinical parameters should be considered in routine measurement to identify critically ill patients as early as possible.