Bartoli Ettore, Sainaghi Pier Paolo, Bergamasco Luca, Castello Luigi
Internal Medicine, Department of Clinical and Experimental Medicine, Eastern Piedmont University, Novara, Italy.
Nephrology (Carlton). 2009 Apr;14(3):338-44. doi: 10.1111/j.1440-1797.2008.01054.x. Epub 2009 Jan 27.
To avoid electrolyte derangements during correction of hyperosmolar coma (HC), PNa(PREDICTED) at the end of correction is presently estimated from plasma glucose (P(G), mM/L). When the rise in plasma osmolality (Posm) is entirely due to glucose addition (G(A), mM) to the extracellular volume (ECV), this PNa prediction can be improved by correctly estimating G(A) and any associated water loss (DeltaV), while excluding any concomitant Na loss (DeltaNa).
Indicating with (0) the normal conditions, with (1) the HC,DeltaPosm=P(G1)xECV1 establishes an exclusive G(A) accumulation. We derived the equations for computing G(A), DeltaV and PNa(PREDICTED). Computer simulations of HC were performed by adding the known G(A) while subtracting the known DeltaV and DeltaNa in different combinations, obtaining exact values of PNa(1) and P(G1). Applying our formulas, we recognized and discarded all cases with concomitant DeltaNa, and we computed G(A), DeltaV and PNa (PREDICTED) from PNa(1) and P(G1), as if they had been measured in patients. We extended these same calculation algorithms to 68 patients with HC.
In computer simulations, true and calculated G(A), DeltaV and PNa(PREDICTED) were identical, such that regression and correlation coefficients were 1 (P < 0.0001). Out of the 68 patients recruited, 13 fulfilled the boundary conditions of an exclusive G(A) addition. The true values, obtained by balance studies performed on these patients, were not different from and significantly correlated with the calculated data (R(2) = 0.99, P < 0.001).
Our new model system for HC and the new formulas improve to near exactness the accuracy in estimating PNa(PREDICTED), helping the physician to avoid unwanted electrolyte derangements during treatment.
为避免在高渗性昏迷(HC)纠正过程中出现电解质紊乱,目前根据血浆葡萄糖(P(G),mmol/L)来估算纠正结束时的预测血钠浓度(PNa(PREDICTED))。当血浆渗透压(Posm)升高完全是由于细胞外液量(ECV)中加入葡萄糖(G(A),mmol)所致时,通过正确估算G(A)和任何相关的失水量(ΔV),同时排除任何伴随的钠丢失(ΔNa),可以改进这种PNa预测。
用(0)表示正常状态,用(1)表示高渗性昏迷,ΔPosm = P(G1)×ECV1确定了唯一的G(A)蓄积。我们推导了计算G(A)、ΔV和PNa(PREDICTED)的公式。通过以不同组合加入已知的G(A)同时减去已知的ΔV和ΔNa来进行高渗性昏迷的计算机模拟,得到PNa(1)和P(G1)的准确值。应用我们的公式,我们识别并排除了所有伴有ΔNa的情况,然后根据PNa(1)和P(G1)计算G(A)、ΔV和PNa(PREDICTED),就好像这些值是在患者身上测量得到的一样。我们将这些相同的计算算法应用于68例高渗性昏迷患者。
在计算机模拟中,真实的和计算得到的G(A)、ΔV和PNa(PREDICTED)完全相同,回归系数和相关系数均为1(P < 0.0001)。在招募的68例患者中,有13例符合单纯加入G(A)的边界条件。通过对这些患者进行平衡研究得到的真实值与计算数据无差异且显著相关(R² = 0.99,P < 0.001)。
我们针对高渗性昏迷的新模型系统和新公式将预测血钠浓度(PNa(PREDICTED))的估算准确性提高到了近乎精确的程度,有助于医生在治疗过程中避免不必要的电解质紊乱。