Department of Anesthesiology and Reanimation, Acibadem Mehmet Ali Aydinlar University School of Medicine, Istanbul, Turkey.
Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA, United States of America.
PLoS One. 2024 Jul 10;19(7):e0306756. doi: 10.1371/journal.pone.0306756. eCollection 2024.
CO2, HCO3, SID, and total weak acids have been defined as pH's independent variables. However, according to Gamble, HCO3 should be equal to the difference between the sum of cations and the sum of anions besides HCO3. Therefore, if this mathematical expression is substituted for HCO3 in the Henderson-Hasselbalch equation, all independent variables of pH can be demonstrated. Our aim is to test this theory in this study. This prospective observational study was conducted between 2019 and 2020. All admitted patients to the intensive care unit who were >18 years old were included. Demographic data, blood gas parameters, albumin, magnesium, and inorganic phosphorus levels, and outcomes were recorded twice (at admission and at the 24th hour). The multivariate linear regression model was used to determine pH's independent variables. In the multivariate linear regression model, pH was significantly increased by each unit increase in Na, K, Ca, and Mg (mmol L-1). In contrast, pH was significantly decreased by each unit increase in CO2, Cl, lactate, albumin (g dL-1), inorganic phosphorus (mg dL-1), and the strong ion gap. Ten independent variables can accurately predict the changes in pH. For this reason, all ten independent variables should be separately evaluated when interpreting the acid-base status. With this understanding, all algorithms regarding acid-base evaluation may become unnecessary.
CO2、HCO3、SID 和总弱酸被定义为 pH 的自变量。然而,根据 Gamble 的说法,HCO3 应该等于阳离子总和减去除 HCO3 以外的阴离子总和。因此,如果将这个数学表达式替代 Henderson-Hasselbalch 方程中的 HCO3,就可以证明所有 pH 的自变量。我们的目的是在本研究中验证这一理论。本前瞻性观察研究于 2019 年至 2020 年进行。纳入了所有入住重症监护病房且年龄大于 18 岁的患者。记录了两次的人口统计学数据、血气参数、白蛋白、镁和无机磷水平和结局(入院时和第 24 小时)。使用多元线性回归模型来确定 pH 的自变量。在多元线性回归模型中,pH 值随着 Na、K、Ca 和 Mg(mmol/L)的每单位增加而显著增加。相比之下,pH 值随着 CO2、Cl、乳酸、白蛋白(g/dL)、无机磷(mg/dL)和强离子间隙的每单位增加而显著降低。十个自变量可以准确预测 pH 值的变化。因此,在解释酸碱状态时,应分别评估所有十个自变量。有了这个认识,所有关于酸碱评估的算法可能都变得不必要了。