Department of Pharmacy Practice and Administration, St. John Fisher College, Wegmans School of Pharmacy, 3690 East Ave., Rochester, NY, 14618, USA.
Department of Surgery, The University of Rochester Medical Center, 601 Elmwood Ave., Rochester, NY, 14642, USA.
Clin Exp Nephrol. 2020 Jun;24(6):541-546. doi: 10.1007/s10157-020-01867-y. Epub 2020 Mar 9.
We sought to test the strength of correlation between predicted and observed systemic acid-base status based on the Stewart model equations during continuous infusion (CI) furosemide therapy.
DESIGN, SETTING AND PARTICIPANTS: This was a prospective, single-center, observational study conducted in the Surgical ICU of a large academic medical center. Ten critically ill patients who received CI furosemide were included.
The primary purpose was to characterize the relationship between changes in serum electrolyte and acid-base status and the excretion of electrolytes in the urine during infusion of CI furosemide in critically ill patients. As a secondary endpoint, we sought to evaluate the predictive application of the Stewart model. Over 72-h, intake and output volumes, electrolyte content of fluids administered, plasma and urine electrolytes, urine pH, and venous blood gases were collected. Predicted and observed changes in acid-based status were compared for each day of diuretic therapy using Spearman's correlation coefficient.
The mean (SD) strong ion difference (SID) increased from 45.2 (3.2) at baseline to 49.6 (4.0) after 72 h of continuous infusion furosemide. At Day 1, the mean SID (observed) (SD) was 47.5 (3.5) and the predicted SID was 49.5 (5.8). Day 1 observed plasma SID was positively correlated with the predicted SID (r = 0.80, p = 0.01). By Days 2 and 3, the correlations of observed and predicted SID were no longer statistically significant.
Using the Stewart model, increases in SID as an indicator of metabolic alkalosis due to the chloruretic effects of furosemide were observed. Predicted and observed SID correlated well over the first 24 h of treatment.
我们旨在测试基于 Stewart 模型方程在连续输注(CI)呋塞米治疗期间预测和观察到的全身酸碱状态之间的相关性强度。
设计、地点和参与者:这是一项在大型学术医疗中心的外科重症监护病房进行的前瞻性、单中心、观察性研究。纳入了 10 名接受 CI 呋塞米治疗的危重症患者。
主要目的是描述在危重症患者输注 CI 呋塞米期间血清电解质和酸碱状态变化与尿液中电解质排泄之间的关系。作为次要终点,我们试图评估 Stewart 模型的预测应用。在 72 小时内,收集摄入和输出量、给予的液体电解质含量、血浆和尿液电解质、尿液 pH 值和静脉血气。使用 Spearman 相关系数比较利尿剂治疗的每一天预测和观察到的酸碱状态变化。
强离子差(SID)的平均值(SD)从基础值的 45.2(3.2)增加到连续输注呋塞米 72 小时后的 49.6(4.0)。在第 1 天,平均 SID(观察值)(SD)为 47.5(3.5),预测 SID 为 49.5(5.8)。第 1 天观察到的血浆 SID 与预测 SID 呈正相关(r=0.80,p=0.01)。到第 2 天和第 3 天,观察到的和预测的 SID 的相关性不再具有统计学意义。
使用 Stewart 模型,观察到由于呋塞米的氯利尿作用导致 SID 增加,这是代谢性碱中毒的指标。在治疗的前 24 小时内,预测和观察到的 SID 相关性良好。