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肾病综合征中的酸碱紊乱:使用CO₂/HCO₃⁻方法(传统波士顿模型)和物理化学方法(斯图尔特模型)进行分析。

Acid-base disturbances in nephrotic syndrome: analysis using the CO/HCO method (traditional Boston model) and the physicochemical method (Stewart model).

作者信息

Kasagi Tomomichi, Imai Hirokazu, Miura Naoto, Suzuki Keisuke, Yoshino Masabumi, Nobata Hironobu, Nagai Takuhito, Banno Shogo

机构信息

Division of Nephrology and Rheumatology, Department of Internal Medicine, Aichi Medical University School of Medicine, Nagakute, Japan.

Aichi Medical University School of Medicine, Nagakute, Aichi, 480-1195, Japan.

出版信息

Clin Exp Nephrol. 2017 Oct;21(5):866-876. doi: 10.1007/s10157-017-1387-8. Epub 2017 Mar 13.

Abstract

BACKGROUND

The Stewart model for analyzing acid-base disturbances emphasizes serum albumin levels, which are ignored in the traditional Boston model. We compared data derived using the Stewart model to those using the Boston model in patients with nephrotic syndrome.

METHODS

Twenty-nine patients with nephrotic syndrome and six patients without urinary protein or acid-base disturbances provided blood and urine samples for analysis that included routine biochemical and arterial blood gas tests, plasma renin activity, and aldosterone. The total concentration of non-volatile weak acids (A), apparent strong ion difference (SIDa), effective strong ion difference (SIDe), and strong ion gap (SIG) were calculated according to the formulas of Agrafiotis in the Stewart model.

RESULTS

According to the Boston model, 25 of 29 patients (90%) had alkalemia. Eighteen patients had respiratory alkalosis, 11 had metabolic alkalosis, and 4 had both conditions. Only three patients had hyperreninemic hyperaldosteronism. The Stewart model demonstrated respiratory alkalosis based on decreased PaCO, metabolic alkalosis based on decreased A, and metabolic acidosis based on decreased SIDa. We could diagnose metabolic alkalosis or acidosis with a normal anion gap after comparing delta A [(14.09 - measured A) or (11.77 - 2.64 × Alb (g/dL))] and delta SIDa [(42.7 - measured SIDa) or (42.7 - (Na + K - Cl)]). We could also identify metabolic acidosis with an increased anion gap using SIG > 7.0 (SIG = 0.9463 × corrected anion gap-8.1956).

CONCLUSIONS

Patients with nephrotic syndrome had primary respiratory alkalosis, decreased A due to hypoalbuminemia (power to metabolic alkalosis), and decreased levels of SIDa (power to metabolic acidosis). We could detect metabolic acidosis with an increased anion gap by calculating SIG. The Stewart model in combination with the Boston model facilitates the analysis of complex acid-base disturbances in nephrotic syndrome.

摘要

背景

用于分析酸碱紊乱的斯图尔特模型强调血清白蛋白水平,而传统的波士顿模型则忽略了这一点。我们比较了肾病综合征患者使用斯图尔特模型得出的数据与使用波士顿模型得出的数据。

方法

29例肾病综合征患者和6例无蛋白尿或酸碱紊乱的患者提供了血液和尿液样本进行分析,包括常规生化和动脉血气检查、血浆肾素活性和醛固酮。根据斯图尔特模型中阿格拉菲奥蒂斯的公式计算非挥发性弱酸的总浓度(A)、表观强离子差(SIDa)、有效强离子差(SIDe)和强离子间隙(SIG)。

结果

根据波士顿模型,29例患者中有25例(90%)存在碱血症。18例患者有呼吸性碱中毒,11例有代谢性碱中毒,4例两者皆有。只有3例患者有高肾素性醛固酮增多症。斯图尔特模型显示,基于PaCO降低的呼吸性碱中毒、基于A降低的代谢性碱中毒以及基于SIDa降低的代谢性酸中毒。在比较ΔA[(14.09 - 测量的A)或(11.77 - 2.64×白蛋白(g/dL))]和ΔSIDa[(42.7 - 测量的SIDa)或(42.7 - (钠 + 钾 - 氯))]后,我们可以诊断出阴离子间隙正常的代谢性碱中毒或酸中毒。我们还可以使用SIG > 7.0(SIG = 0.9463×校正阴离子间隙 - 8.1956)识别阴离子间隙增加的代谢性酸中毒。

结论

肾病综合征患者存在原发性呼吸性碱中毒、由于低白蛋白血症导致的A降低(对代谢性碱中毒有影响)以及SIDa水平降低(对代谢性酸中毒有影响)。通过计算SIG,我们可以检测到阴离子间隙增加的代谢性酸中毒。斯图尔特模型与波士顿模型相结合有助于分析肾病综合征复杂的酸碱紊乱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d58/5648741/9598ef1b286f/10157_2017_1387_Fig1_HTML.jpg

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