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Updated: Oct 1, 2026

Characterization of Sickling During Controlled Automated Deoxygenation with Oxygen Gradient Ektacytometry
Published on: November 5, 2019
Quantifying the effects of hemoglobin saturation on plasma strong ion difference during blood oxygenation and
Lorenzo Giosa1, Martin Krbec1, Jakub Halamík1
1Department of Anaesthesiology and Intensive Care, 3rd Faculty of Medicine, Charles University and Kralovske Vinohrady University Hospital, Prague, Czech Republic.
Abstract:
The strong ion difference (SID) is assessed to interpret acid-base disorders, yet measured plasma values are influenced by electrolyte redistribution across compartments. Current models focus on pH-dependent plasma-erythrocyte shifts. Here, we aim to quantify the effects of hemoglobin oxygen saturation (sO2). We induced oxygenation and decarboxylation of human venous blood (n = 20) via room-air equilibration. We modeled the contribution of ∆sO2 to plasma-erythrocyte shifts through the Haldane effect and hypothesized that combining sO2- with pH-dependent mechanisms would allow accurate prediction of redistribution related ∆SID. After room-air equilibration, sO2 fraction increased by 0.46 [0.39-0.54], CO2 tension decreased by 29 [25-32] mmHg, and pH increased by 0.25 [0.19-0.32]. SID decreased by 5.3 [4.2 to 5.6] mEq/L, and its changes were independently associated with ∆sO2 (∆SID/∆sO2 = -3.0 [-5.4 to -0.67] mEq/L, p < 0.01). Accordingly, when only pH-dependent redistribution was considered, ∆SID prediction yielded a ∆sO2-dependent (p < 0.01) underestimation of measured ∆SID (mean bias [limits of agreement]: -1.6 [-3.7 to 0.5] mEq/L). Including sO2-dependent effects improved the bias (-0.4 [-2.0 to 1.3] mEq/L) and removed its ∆sO2-dependence (p = 0.63), and this result was maintained using a simplified model (∆SID = 1.5·[Hemoglobin+Albumin]g/dL·∆pH+[Hemoglobin/4]g/dL·∆sO2). We conclude that ∆sO2 independently affects ∆SID during blood oxygenation and decarboxylation. Incorporating sO2- alongside pH-dependent electrolyte shifts enables accurate prediction of redistribution-related ∆SID.
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