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肝硬化腹水患者51Cr-乙二胺四乙酸的早期血浆浓度:三种模型的比较

The early plasma concentration of 51Cr-EDTA in patients with cirrhosis and ascites: a comparison of three models.

作者信息

Wanasundara Surajith N, Wesolowski Michal J, Puetter Richard C, Burniston Maria T, Xirouchakis Elias, Giamalis Ioannis G, Babyn Paul S, Wesolowski Carl A

机构信息

aDepartment of Medical Imaging, Royal University Hospital, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan bDepartment of Radiology, Memorial University of Newfoundland, Nuclear Medicine, The General Hospital, HSC, St. John's, Newfoundland and Labrador, Canada cPixon Imaging Inc., San Diego, California, USA dDepartment of Medical Physics eThe Royal Free Sheila Sherlock Liver Centre and UCL Institute of Liver and Digestive Disease, The Royal Free London NHS Foundation Trust, London, UK.

出版信息

Nucl Med Commun. 2015 Apr;36(4):392-7. doi: 10.1097/MNM.0000000000000255.

Abstract

OBJECTIVES

The aim of the study was to determine which of three two-parameter fitting functions (exponential, linear-log, and negative-power function of time) most accurately models early chromium-51-EDTA (51Cr-EDTA) plasma concentration data prior to 120 min in patients with cirrhosis and ascites and understand how these fitting functions affect the calculation of the area under the plasma concentration curve (AUC).

METHODS

A bolus, antecubital intravenous injection of 2.6 MBq of 51Cr-EDTA was given to 13 patients with cirrhosis and ascites. Up to 16 blood samples were drawn at time points ranging from 5 to 1440 min following injection. The concentration data prior to 120 min were used as reference data. Early time concentration values, estimated by fitting exponential, linear-log, and negative-power functions of time to the time samples at 120, 180, and 240 min, were then compared with reference data. The AUC was calculated for each patient using the exponential, Bröchner-Mortensen-corrected exponential, and linear-log functions, and these values were compared.

RESULTS

The withheld, observed plasma concentrations were (a) most accurately estimated by linear-log functions (Wilcoxon P=0.4548), (b) significantly underestimated by exponential functions (Wilcoxon P=0.0002), and (c) significantly overestimated by negative-power functions (Wilcoxon P=0.0034). The relative errors when ranked from best to worst were those for the linear-log (12.0%, 9.0%), exponential (22.9%, 14.2%), and negative-power (31.9%, 48.4%) functions of time, respectively (median, interquartile range). For each patient, the values for AUC calculated by the exponential function differed significantly (range=3.4-15.3%, median=8.3%) from those calculated by the corrected Bröchner-Mortensen exponential, as to a lesser extent did those values calculated using linear-log functions (range=0.4-8.0%, median=3.0%).

CONCLUSION

In patients with cirrhosis, linear-log functions were significantly more accurate than exponential or power functions in estimating early time plasma concentrations (<120 min). However, the improved linear-log early time plasma concentration model does not provide as much correction to the total AUC as does the corrected Bröchner-Mortensen exponential method. This is likely because of the large contribution of late time data to the AUC, and future work is suggested to explore the late time fit problem.

摘要

目的

本研究旨在确定三种双参数拟合函数(指数函数、线性对数函数和时间的负幂函数)中哪一种能最准确地模拟肝硬化腹水患者120分钟前的早期铬-51-乙二胺四乙酸(51Cr-EDTA)血浆浓度数据,并了解这些拟合函数如何影响血浆浓度曲线下面积(AUC)的计算。

方法

对13例肝硬化腹水患者进行2.6MBq的51Cr-EDTA肘前静脉推注。注射后5至1440分钟的时间点采集多达16份血样。120分钟前的浓度数据用作参考数据。然后将通过对120、180和240分钟时间样本拟合时间的指数函数、线性对数函数和负幂函数估计的早期时间浓度值与参考数据进行比较。使用指数函数、布罗克纳-莫滕森校正指数函数和线性对数函数为每位患者计算AUC,并比较这些值。

结果

(a)线性对数函数最准确地估计了保留的观察到的血浆浓度(Wilcoxon P = 0.4548),(b)指数函数显著低估了血浆浓度(Wilcoxon P = 0.0002),(c)负幂函数显著高估了血浆浓度(Wilcoxon P = 0.0034)。从最佳到最差排序时的相对误差分别为时间的线性对数函数(12.0%,9.0%)、指数函数(22.9%,14.2%)和负幂函数(31.9%,48.4%)(中位数,四分位间距)。对于每位患者,通过指数函数计算的AUC值与通过校正的布罗克纳-莫滕森指数函数计算的值有显著差异(范围 = 3.4 - 15.3%,中位数 = 8.3%),使用线性对数函数计算的值差异较小(范围 = 0.4 - 8.0%,中位数 = 3.0%)。

结论

在肝硬化患者中,线性对数函数在估计早期血浆浓度(<120分钟)方面比指数函数或幂函数显著更准确。然而,改进的线性对数早期血浆浓度模型对总AUC的校正不如校正的布罗克纳-莫滕森指数方法。这可能是因为晚期数据对AUC的贡献很大,建议未来开展工作探索晚期拟合问题。

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