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Diagnosis
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Assessment of Iothalamate Plasma Clearance: Duration of Study Affects Quality of GFR

Rajiv Agarwal, Jennifer E. Bills, Paulos M. Yigazu, Terri Abraham, Andinet B. Gizaw, Robert P. Light, Dagim M. Bekele and Getachew G. Tegegne
CJASN January 2009, 4 (1) 77-85; DOI: https://doi.org/10.2215/CJN.03720708
Rajiv Agarwal
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Jennifer E. Bills
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Paulos M. Yigazu
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Terri Abraham
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Andinet B. Gizaw
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Robert P. Light
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Dagim M. Bekele
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Getachew G. Tegegne
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  • Figure 1.
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    Figure 1.

    Pharmacokinetic profile of plasma iothalamate concentration versus time curves in 12 patients with chronic kidney disease (CKD) who had measurements over 10 h. An exponential decline is visible although the data are plotted on a logarithmic ordinate. Thus, a two-compartment pharmacokinetic model was fitted. Symbols are the actual plasma iothalamate concentration in each patient, whereas the lines are the model fitted curves.

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    Figure 2.

    Body surface area-corrected GFR as measured by plasma iothalamate clearance are overestimated if shorter sampling times are used. The individual changes in plasma iothalamate clearance are denoted by arrows. As the sampling time shortens, the plasma iothalamate clearance is overestimated. Some individuals have large changes in measured GFR.

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    Figure 3.

    The overestimation in GFR plateaus at about 6 to 7 h in people with estimated GFR (eGFR) of 30 ml/min/1.73 m2. However, this plateau may not occur until a later time point in those with lower kidney function. The solid lines are modeled relationships between iothalamate clearances and sampling times in those with lower eGFR (<30 ml/min/1.73 m2) whereas the dashed lines are relationships in those with higher eGFR (>30 ml/min/1.73 m2). Open triangles are measured plasma iothalamate clearances in those with higher eGFR and circles in those with lower eGFR.

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    Figure 4.

    Measured plasma iothalamate concentrations versus time are shown on a logarithmic ordinate in one patient. The lines represent modeled curves when various durations of sampling are considered. When GFR was analyzed over 10 h (full data) the topmost curve was obtained, which yielded a GFR of 37 ml/min. The bottom solid line shows a modeled curve when only 2 h of data were considered. GFR using the 2-h data were 72 ml/min. Overestimation of the terminal elimination constant by short studies is why GFR appear to be overestimated with short durations of measurement.

Tables

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    Table 1.

    Baseline characteristics of the study populationa

    CharacteristicResult
    Number of subjects56
    Age (yr)64.3 ± 10.7
    Men55 (98%)
    Height (in)68.3 ± 3.5
    Weight (kg)99.3 ± 24.2
    Hip/waist ratio1.01 ± 0.08
    Body mass index (kg/m2)32.8 ± 6.9
    Body surface area (m2)2.12 ± 0.27
    Race
        White44 (79%)
        Black10 (18%)
        American Indian2 (4%)
    Etiology of CKDb
        diabetes19 (34%)
        hypertension20 (36%)
        GN9 (16%)
        other8 (14%)
    Hemoglobin (g/dl)12.3 ± 1.6
    Albumin (g/dl)4.1 ± 0.3
    Plasma creatinine (mg/dl)2.6 ± 1.2
    Blood urea nitrogen (mg/dl)44.7 ± 25.5
    Estimated GFR (ml/min/1.73 m2)31.8 ± 14.2
        stage 23 (5%)
        stage 324 (43%)
        stage 425 (45%)
        stage 54 (7%)
    Median urine protein/creatinine (g/g) (interquartile range)0.40 (0.11–1.36)
    • ↵a ± indicates SD, parentheses indicate percent of patients.

    • ↵b Chronic kidney disease (CKD) stage is based on estimated GFR by Modification of Diet in Renal Disease formula.

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    Table 2.

    Pharmacokinetic characteristics of iothalamatea

    Pharmacokinetic ParameterMedianQ1Q3
    Plasma iothalamate clearance (ml/min)47.833.965.6
    Plasma iothalamate clearance (ml/min/1.73m2)37.730.150.6
    Volume of distribution central (ml)479722756266
    Volume of distribution (ml/kg)50.120.067.4
    Volume of distribution, steady state (ml)159081382218827
    Volume of distribution, steady state (ml/kg)172.4147.1190.6
    Elimination half-life (min)6624115
    Area under curve (μg × min/ml)628564584789286
    Fast component
        intercept A (μg/ml)4523201207
        half-life ln(2)/α (min)4.832.397.18
        area A/α (μg·min/ml)533528433624
    Slow component
        intercept B (μg/ml)161136183
        half-life ln(2)/β (min)271199336
        area B/β (μg·min/ml)576154092481973
    • ↵a Q1, first quartile; Q3, third quartile.

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    Table 3.

    Sampling duration and GFR estimates stratified by estimated GFR (eGFR)a

    Sampling DurationMean GFR (ml/min/1.73 m2)95% CIbRatio Compared to 5-h GFR95% CI of RatioP
    eGFR stratum >30 ml/min/1.73m2
    5 h49.344.4 to 54.8
    4 h52.547.2 to 58.31.060.99 to 1.140.084
    3 h57.251.5 to 63.51.161.08 to 1.25<0.001
    2.5 h60.454.4 to 67.21.231.14 to 1.32<0.001
    2 h66.159.5 to 73.41.341.25 to 1.44<0.001
    eGFR stratum <30 ml/min/1.73m2
    5 h29.126.3 to 32.2
    4 h32.028.9 to 35.41.101.03 to 1.180.007
    3 h34.531.2 to 38.21.191.11 to 1.27<0.001
    2.5 h38.234.6 to 42.31.311.23 to 1.41<0.001
    2 h44.440.1 to 49.11.531.42 to 1.63<0.001
    • ↵a Mean GFR calculated using a nominal mixed model with maximal likelihood estimates.

    • ↵b CI, confidence interval.

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    Table 4.

    Sampling duration and GFR estimates stratified by eGFR for 10-h GFRa

    Sampling DurationMean GFR (ml/min/1.73 m2)95% CIRatio Compared to 10-h GFR95% CI of RatioP
    eGFR stratum >30 ml/min/1.73m2
    10 h40.333.2 to 48.9
    9 h41.234.1 to 49.81.020.92 to 1.14>0.2
    8 h42.134.8 to 50.91.040.94 to 1.16>0.2
    7 h43.736.1 to 52.81.080.97 to 1.210.15
    6 h45.237.4 to 54.71.121.01 to 1.250.037
    5 h47.239.0 to 57.11.171.05 to 1.310.004
    4 h49.340.7 to 59.61.221.10 to 1.36<0.001
    3 h53.143.8 to 64.41.321.18 to 1.48<0.001
    2.5 h56.746.9 to 68.61.411.26 to 1.57<0.001
    2 h62.351.5 to 75.31.541.39 to 1.72<0.001
    eGFR stratum <30 ml/min/1.73m2
    10 h22.218.4 to 26.9
    9 h23.619.5 to 28.61.060.96 to 1.18>0.2
    8 h24.820.5 to 30.01.121.01 to 1.240.037
    7 h25.921.4 to 31.31.161.05 to 1.290.004
    6 h27.522.7 to 33.31.241.12 to 1.37<0.001
    5 h30.325.0 to 36.61.361.23 to 1.51<0.001
    4 h33.427.6 to 40.41.501.36 to 1.67<0.001
    3 h39.432.5 to 47.81.771.59 to 1.98<0.001
    2.5 h44.636.9 to 54.02.011.81 to 2.23<0.001
    2 h50.241.5 to 60.72.262.04 to 2.51<0.001
    • ↵a Mean GFR calculated using a nominal mixed model with maximal likelihood estimates.

    • View popup
    Table 5.

    Regression model for GFR estimation: 10-h studiesa

    ParameterCoefficient95% CIP
    Fixed effects
        constant (ml/min/1.73 m2)58.646.4 to 70.8<0.001
        sampling time (h)−11.7−14.2 to −9.2<0.001
        sampling time2 (h2)0.6760.48 to 0.87<0.001
        eGFR (ml/min/1.73 m2)0.369−0.01 to 0.750.057
        eGFR × sampling time0.1190.04 to 0.200.003
        eGFR × sampling time2−0.007−0.013 to −0.0010.021
    Random effects
        intercept SD7.665.01 to 11.72
        sampling time SD0.6240.380 to 1.027
        correlation (time, intercept)−0.85−0.96 to −0.53
        residual SD2.562.22 to 2.96
    • ↵a Random coefficient model with maximal likelihood estimates.

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    Table 6.

    Sampling duration and area under the curve (AUC) estimates stratified by eGFRa

    Sampling DurationMean AUC (μg · min/ml)95% CIRatio compared to 10-h AUC95% CI of RatioP
    eGFR stratum >30 ml/min/1.73m2
    10 h65,42751,731 to 82,749
    9 h63,96850,707 to 80,6970.980.88 to 1.09>0.2
    8 h62,60349,625 to 78,9750.960.86 to 1.07>0.2
    7 h60,36547,851 to 76,1510.920.83 to 1.030.15
    6 h58,27146,191 to 73,5100.890.80 to 0.990.037
    5 h55,79644,229 to 70,3880.850.76 to 0.950.004
    4 h53,46642,382 to 67,4490.82073 to 0.91<0.001
    3 h49,62839,240 to 62,7680.760.68 to 0.85<0.001
    2.5 h46,46436,831 to 58,6150.710.64 to 0.79<0.001
    2 h42,33033,555 to 53,4000.650.58 to 0.72<0.001
    eGFR stratum <30 ml/min/1.73m2
    10 h105,43283,576 to 133,005
    9 h99,19878,633 to 125,1400.940.85 to 1.04>0.2
    8 h94,49074,901 to 119,2010.900.81 to 0.990.037
    7 h90,58471,805 to 114,2730.860.77 to 0.950.004
    6 h85,14167,491 to 107,4070.810.73 to 0.90<0.001
    5 h77,35961,322 to 97,5900.730.66 to 0.81<0.001
    4 h70,10455,571 to 88,4380.660.60 to 0.74<0.001
    3 h59,40246,968 to 75,1260.560.51 to 0.63<0.001
    2.5 h52,46641,589 to 66,1870.500.45 to 0.55<0.001
    2 h46,65636,984 to 58,8570.440.40 to 0.49<0.001
    • ↵a AUC calculated using a nominal mixed model with maximal likelihood estimates.

    • View popup
    Table 7.

    Precision of GFR as a function of sampling durationa

    Sampling DurationMean GFR CV (%)95% CIDifference from 10-h GFR95% CI of DifferenceP
    10 h1.671.38 to 2.01
    9 h1.811.50 to 2.181.090.93 to 1.27>0.2
    8 h2.061.71 to 2.481.241.06 to 1.440.007
    7 h2.381.98 to 2.871.431.23 to 1.67<0.001
    6 h2.852.37 to 3.431.711.47 to 1.99<0.001
    5 h3.482.89 to 4.192.091.79 to 2.44<0.001
    4 h4.313.58 to 5.192.592.22 to 3.02<0.001
    3 h4.864.01 to 5.892.912.48 to 3.42<0.001
    2.5 h6.115.08 to 7.363.673.15 to 4.28<0.001
    2 h7.075.87 to 8.514.243.63 to 4.95<0.001
    • ↵a Mean GFR coefficient of variation (CV) calculated using a nominal mixed model with log-transformed CV using maximal likelihood estimates.

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Clinical Journal of the American Society of Nephrology
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Assessment of Iothalamate Plasma Clearance: Duration of Study Affects Quality of GFR
Rajiv Agarwal, Jennifer E. Bills, Paulos M. Yigazu, Terri Abraham, Andinet B. Gizaw, Robert P. Light, Dagim M. Bekele, Getachew G. Tegegne
CJASN Jan 2009, 4 (1) 77-85; DOI: 10.2215/CJN.03720708

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Assessment of Iothalamate Plasma Clearance: Duration of Study Affects Quality of GFR
Rajiv Agarwal, Jennifer E. Bills, Paulos M. Yigazu, Terri Abraham, Andinet B. Gizaw, Robert P. Light, Dagim M. Bekele, Getachew G. Tegegne
CJASN Jan 2009, 4 (1) 77-85; DOI: 10.2215/CJN.03720708
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