Net reclassification improvement with serial biomarkers and bed-sided spirometry to early predict the need of organ support during the early post-transplantation in-hospital stay in allogeneic HCT recipients.

To predict the need of intensive care unit admission with organ support during the transplantation hospital stay in 101 consecutives allogeneic hematopoietic cell transplantation (allo-HCT) recipients the added predictive utility of three times per week Copeptin, MR-proADM, MR-proANP, NT-proBNP, IL-6, Procalcitonin, D-dimer and three times per week bed-sided pulmonary function test was determined in comparison with an index model. The index model was calculated by multivariate regression analysis out of the patients' routine laboratory parameters. To calculate the added predictive utility of the investigated markers the Δ-AUC and the continuous net reclassification improvement (cNRI + 2 to - 2), splitted for events and non-events were calculated for each marker in comparison with the index model. According to the Δ-AUC, none of the parameters improved risk prediction. In contrast, the cNRI was significantly improved for events and non-events by Copeptin (event 0.75, p value 0.0013; non-event 0.4, p value 0.000079) and for events by NT-proBNP (0.6, p value 0.018). D-dimer and PCT significantly predicted the non-event. Of the spirometry parameters, the FEF50% improved prediction of event and non-event according to the cNRI model. Our data support the additional serial analysis of Copeptin and NT-proBNP in allo-HCT recipients during the transplantation hospital stay.