Naslov
The use of biomarkers to describe plasma-, red cell-, and blood volume from a simple blood test

Autori
Lobigs, Louisa Margit ; Sottas, Pierre-Edouard ; Bourdon, Pitre Collier ; Nikolovski, Zoran ; El- Gingo, Mohamed ; Varamenti, Evdokia ; Peeling, Peter ; Dawson, Brian ; Schumacher, Yorck Olaf

Izvornik
American Journal of Hematology (0361-8609) 92 (2016), 1; 62-67

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
plasma volume, red blood cells, CO rebreathing

Sažetak
Plasma volume and red cell mass are key health markers used to monitor numerous disease states, such as heart failure, kidney disease or sepsis. Nevertheless, there is currently no practically applicable method to easily measure absolute plasma or red cell volumes in a clinical setting. Here, a novel marker for plasma volume and red cell mass was developed through analysis of the observed variability caused by plasma volume shifts in common biochemical measures, selected based on their propensity to present with low variations over time. Once a month for 6 months, serum and whole blood samples were collected from 33 active males. Concurrently, the CO-rebreathing method was applied to determine target levels of hemoglobin mass (HbM) and blood volumes. The variability of 18 common chemistry markers and 27 Full Blood Count variables was investigated and matched to the observed plasma volume variation. After the removal of between-subject variations using a Bayesian model, multivariate analysis identified two sets of 8 and 15 biomarkers explaining 68% and 69% of plasma volume variance, respectively. The final multi-parametric model contains a weighting function to allow for isolated abnormalities in single biomarkers. This proof-of-concept investigation describes a novel approach to estimate absolute vascular volumes, with a simple blood test. Despite the physiological instability of critically ill patients, it is hypothesized the model, with its multi-parametric approach and weighting function, maintains the capacity to describe vascular volumes. This model has potential to transform volume management in clinical settings

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti, Kineziologija

POVEZANOST RADA