The association between haemorrhage and markers of endothelial insufficiency and inflammation in patients with hypoproliferative thrombocytopenia: a cohort study

Summary In daily haematological practice, predicting bleeding in thrombocytopenic patients is difficult, and clinicians adhere to transfusion triggers to guide patients through the aplastic phase of chemotherapy. Platelet count is not the only determinant of bleeding and additional mechanisms for im...

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Veröffentlicht in:British journal of haematology 2020-04, Vol.189 (1), p.171-181
Hauptverfasser: Ypma, Paula F., Geloven, Nan, Kerkhoffs, Jean Louis H., Boekhorst, Peter, Zwaginga, Jaap J., Beckers, Erik A. M., Brand, Anneke, Meer, Pieter F., Eikenboom, Jeroen C. J.
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Sprache:eng
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Zusammenfassung:Summary In daily haematological practice, predicting bleeding in thrombocytopenic patients is difficult, and clinicians adhere to transfusion triggers to guide patients through the aplastic phase of chemotherapy. Platelet count is not the only determinant of bleeding and additional mechanisms for impending haemostasis are likely. Beside clot formation, platelets are essential for the maintenance of integrity of vascular beds. We therefore prospectively investigated associations between biomarkers for endothelial damage (urine albumin excretion) and inflammation (C‐reactive protein) and bleeding (WHO grading) in 88 patients with 116 on‐protocol episodes. We found an increase in grade 2 bleeding with a higher urine albumin/creatinine ratio one day after the measurement [odds ratio (OR) 1·24 for every doubling of the ratio, 95% CI 1·05–1·46, P‐value 0·01] and a 29% increase in the odds of grade 2 bleeding for every doubling of serum C‐reactive protein (CRP) (95% CI 1·04–1·60, P‐value 0·02) after correction for morning platelet count. The 24 h post‐transfusion corrected count increment (CCI24) showed a significant association with these biomarkers: increasing urine albumin/creatinine ratio and CRP were associated with lower CCI24. We report two inexpensive and easy‐to‐apply biomarkers that could be useful in designing a prediction model for bleeding risk in thrombocytopenic patients.
ISSN:0007-1048
1365-2141
DOI:10.1111/bjh.16291