Choi Leena, Ferrell Benjamin A, Vasilevskis Eduard E, Pandharipande Pratik P, Heltsley Rebecca, Ely E Wesley, Stein C Michael, Girard Timothy D
1Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN.2Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN.3Division of General Internal Medicine and Public Health, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN.4Center for Health Services Research, Vanderbilt University School of Medicine, Nashville, TN.5Geriatric Research, Education and Clinical Center Service, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, TN.6Division of Critical Care, Department of Anesthesiology, Vanderbilt University School of Medicine, Nashville, TN.7Anesthesia Service, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, TN.8Aegis Sciences Corporation, Nashville, TN.9Center for Quality Aging, Vanderbilt University School of Medicine, Nashville, TN.10Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN.11Division of Rheumatology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN.
Crit Care Med. 2016 Jan;44(1):64-72. doi: 10.1097/CCM.0000000000001347.
To characterize fentanyl population pharmacokinetics in patients with critical illness and identify patient characteristics associated with altered fentanyl concentrations.
Prospective cohort study.
Medical and surgical ICUs in a large tertiary care hospital in the United States.
Patients with acute respiratory failure and/or shock who received fentanyl during the first 5 days of their ICU stay.
We collected clinical and hourly drug administration data and measured fentanyl concentrations in plasma collected once daily for up to 5 days after enrollment. Among 337 patients, the mean duration of infusion was 58 hours at a median rate of 100 μg/hr. Using a nonlinear mixed-effects model implemented by NONMEM, we found that fentanyl pharmacokinetics were best described by a two-compartment model in which weight, severe liver disease, and congestive heart failure most affected fentanyl concentrations. For a patient population with a mean weight of 92 kg and no history of severe liver disease or congestive heart failure, the final model, which performed well in repeated 10-fold cross-validation, estimated total clearance, intercompartmental clearance (Q), and volumes of distribution for the central (V1) and peripheral compartments (V2) to be 35 L/hr (95% CI, 32-39 L/hr), 55 L/hr (95% CI, 42-68 L/hr), 203 L (95% CI, 140-266 L), and 523 L (95% CI, 428-618 L), respectively. Severity of illness was marginally associated with fentanyl pharmacokinetics but did not improve the model fit after liver and heart diseases were included.
In this study, fentanyl pharmacokinetics during critical illness were strongly influenced by severe liver disease, congestive heart failure, and weight, factors that should be considered when dosing fentanyl in the ICU. Future studies are needed to determine if data-driven fentanyl dosing algorithms can improve outcomes for ICU patients.
描述危重症患者中芬太尼的群体药代动力学特征,并确定与芬太尼浓度改变相关的患者特征。
前瞻性队列研究。
美国一家大型三级医疗中心的内科和外科重症监护病房。
入住重症监护病房的前5天内接受芬太尼治疗的急性呼吸衰竭和/或休克患者。
我们收集了临床和每小时的用药数据,并在入组后长达5天的时间里,每天测量一次采集的血浆中芬太尼的浓度。在337例患者中,平均输注时间为58小时,中位输注速率为100μg/小时。使用NONMEM实现的非线性混合效应模型,我们发现芬太尼的药代动力学最好用二室模型来描述,其中体重、严重肝病和充血性心力衰竭对芬太尼浓度影响最大。对于平均体重为92kg且无严重肝病或充血性心力衰竭病史的患者群体,在重复10倍交叉验证中表现良好的最终模型估计总体清除率、隔室间清除率(Q)以及中央室(V1)和外周室(V2)的分布容积分别为35L/小时(95%CI,32 - 39L/小时)、55L/小时(95%CI,42 - 68L/小时)、203L(95%CI,140 - 266L)和523L(95%CI,428 - 618L)。疾病严重程度与芬太尼药代动力学有轻微关联,但在纳入肝脏和心脏疾病因素后,模型拟合度并未改善。
在本研究中,危重症期间芬太尼的药代动力学受到严重肝病、充血性心力衰竭和体重的强烈影响,在重症监护病房给芬太尼给药时应考虑这些因素。需要进一步的研究来确定数据驱动的芬太尼给药算法是否能改善重症监护病房患者的预后。